Comparison of multivariate and univariate statistical process control and monitoring methods

International Nuclear Information System (INIS)

Leger, R.P.; Garland, WM.J.; Macgregor, J.F.

1996-01-01

Work in recent years has lead to the development of multivariate process monitoring schemes which use Principal Component Analysis (PCA). This research compares the performance of a univariate scheme and a multivariate PCA scheme used for monitoring a simple process with 11 measured variables. The multivariate PCA scheme was able to adequately represent the process using two principal components. This resulted in a PCA monitoring scheme which used two charts as opposed to 11 charts for the univariate scheme and therefore had distinct advantages in terms of both data representation, presentation, and fault diagnosis capabilities. (author)

Univariate and multivariate analysis on processing tomato quality under different mulches

Directory of Open Access Journals (Sweden)

Carmen Moreno

2014-04-01

Full Text Available The use of eco-friendly mulch materials as alternatives to the standard polyethylene (PE has become increasingly prevalent worldwide. Consequently, a comparison of mulch materials from different origins is necessary to evaluate their feasibility. Several researchers have compared the effects of mulch materials on each crop variable through univariate analysis (ANOVA. However, it is important to focus on the effect of these materials on fruit quality, because this factor decisively influences the acceptance of the final product by consumers and the industrial sector. This study aimed to analyze the information supplied by a randomized complete block experiment combined over two seasons, a principal component analysis (PCA and a cluster analysis (CA when studying the effects of mulch materials on the quality of processing tomato (Lycopersicon esculentum Mill.. The study focused on the variability in the quality measurements and on the determination of mulch materials with a similar response to them. A comparison of the results from both types of analysis yielded complementary information. ANOVA showed the similarity of certain materials. However, considering the totality of the variables analyzed, the final interpretation was slightly complicated. PCA indicated that the juice color, the fruit firmness and the soluble solid content were the most influential factors in the total variability of a set of 12 juice and fruit variables, and CA allowed us to establish four categories of treatment: plastics (polyethylene - PE, oxo- and biodegradable materials, papers, manual weeding and barley (Hordeum vulgare L. straw. Oxobiodegradable and PE were most closely related based on CA.

New Riemannian Priors on the Univariate Normal Model

Directory of Open Access Journals (Sweden)

Salem Said

2014-07-01

Full Text Available The current paper introduces new prior distributions on the univariate normal model, with the aim of applying them to the classification of univariate normal populations. These new prior distributions are entirely based on the Riemannian geometry of the univariate normal model, so that they can be thought of as “Riemannian priors”. Precisely, if {pθ ; θ ∈ Θ} is any parametrization of the univariate normal model, the paper considers prior distributions G( θ - , γ with hyperparameters θ - ∈ Θ and γ > 0, whose density with respect to Riemannian volume is proportional to exp(−d2(θ, θ - /2γ2, where d2(θ, θ - is the square of Rao’s Riemannian distance. The distributions G( θ - , γ are termed Gaussian distributions on the univariate normal model. The motivation for considering a distribution G( θ - , γ is that this distribution gives a geometric representation of a class or cluster of univariate normal populations. Indeed, G( θ - , γ has a unique mode θ - (precisely, θ - is the unique Riemannian center of mass of G( θ - , γ, as shown in the paper, and its dispersion away from θ - is given by γ.  Therefore, one thinks of members of the class represented by G( θ - , γ as being centered around θ - and  lying within a typical  distance determined by γ. The paper defines rigorously the Gaussian distributions G( θ - , γ and describes an algorithm for computing maximum likelihood estimates of their hyperparameters. Based on this algorithm and on the Laplace approximation, it describes how the distributions G( θ - , γ can be used as prior distributions for Bayesian classification of large univariate normal populations. In a concrete application to texture image classification, it is shown that  this  leads  to  an  improvement  in  performance  over  the  use  of  conjugate  priors.

Nailfold capillaroscopy abnormalities as predictors of mortality in patients with systemic sclerosis.

Science.gov (United States)

Kayser, Cristiane; Sekiyama, Juliana Y; Próspero, Lucas C; Camargo, Cintia Z; Andrade, Luis E C

2013-01-01

Peripheral microangiopathy is a hallmark of systemic sclerosis (SSc) and can be early detected by nailfold capillaroscopy (NFC). This study aimed to examine whether more severe peripheral microangiopathy at NFC are predictive factor for death in SSc patients. 135 SSc patients who performed NFC between June 2001 and July 2009 were included. The following NFC parameters were evaluated: number of capillary loops/mm, avascular score (scored from 0 to 3), and number of enlarged and giant capillary loops. Univariate and multivariate regression models were used to analyse the association of mortality with NFC and clinical parameters. At the time of the analysis (August 2010), 123 patients were alive, and 12 were dead. By univariate analysis, male gender, forced vital capacity 1.5 on NFC were associated with a significantly increase risk of death. By multivariate analysis, an avascular score >1.5 was the only independent predictor of death (hazard ratio 2.265). Survival rates from diagnosis at 1, 5 and 10 years were lower in patients with avascular score >1.5 (97%, 86%, and 59%, respectively) compared with those with avascular score ≤1.5 (97%, 97%, and 91% respectively) (p=0.009 by log rank test). Avascular scores higher than 1.5 at NFC was an independent predictor of death in SSc, suggesting that NFC can be useful for predicting SSc outcome.

Evaluation of droplet size distributions using univariate and multivariate approaches

DEFF Research Database (Denmark)

Gauno, M.H.; Larsen, C.C.; Vilhelmsen, T.

2013-01-01

of the distribution. The current study was aiming to compare univariate and multivariate approach in evaluating droplet size distributions. As a model system, the atomization of a coating solution from a two-fluid nozzle was investigated. The effect of three process parameters (concentration of ethyl cellulose...... in ethanol, atomizing air pressure, and flow rate of coating solution) on the droplet size and droplet size distribution using a full mixed factorial design was used. The droplet size produced by a two-fluid nozzle was measured by laser diffraction and reported as volume based size distribution....... Investigation of loading and score plots from principal component analysis (PCA) revealed additional information on the droplet size distributions and it was possible to identify univariate statistics (volume median droplet size), which were similar, however, originating from varying droplet size distributions...

Seeking new surgical predictors of mesh exposure after transvaginal mesh repair.

Science.gov (United States)

Wu, Pei-Ying; Chang, Chih-Hung; Shen, Meng-Ru; Chou, Cheng-Yang; Yang, Yi-Ching; Huang, Yu-Fang

2016-10-01

The purpose of this study was to explore new preventable risk factors for mesh exposure. A retrospective review of 92 consecutive patients treated with transvaginal mesh (TVM) in the urogynecological unit of our university hospital. An analysis of perioperative predictors was conducted in patients after vaginal repairs using a type 1 mesh. Mesh complications were recorded according to International Urogynecological Association (IUGA) definitions. Mesh-exposure-free durations were calculated by using the Kaplan-Meier method and compared between different closure techniques using log-rank test. Hazard ratios (HR) of predictors for mesh exposure were estimated by univariate and multivariate analyses using Cox proportional hazards regression models. The median surveillance interval was 24.1 months. Two late occurrences were found beyond 1 year post operation. No statistically significant correlation was observed between mesh exposure and concomitant hysterectomy. Exposure risks were significantly higher in patients with interrupted whole-layer closure in univariate analysis. In the multivariate analysis, hematoma [HR 5.42, 95 % confidence interval (CI) 1.26-23.35, P = 0.024), Prolift mesh (HR 5.52, 95 % CI 1.15-26.53, P = 0.033), and interrupted whole-layer closure (HR 7.02, 95 % CI 1.62-30.53, P = 0.009) were the strongest predictors of mesh exposure. Findings indicate the risks of mesh exposure and reoperation may be prevented by avoiding hematoma, large amount of mesh, or interrupted whole-layer closure in TVM surgeries. If these risk factors are prevented, hysterectomy may not be a relative contraindication for TVM use. We also provide evidence regarding mesh exposure and the necessity for more than 1 year of follow-up and preoperative counselling.

[Outcomes and predictors of mortality in elderly patients requiring artificial ventilation].

Science.gov (United States)

Murai, Y; Matsumiya, H; Takemura, H; Koinuma, M

2000-07-01

We retrospectively examined the outcomes and the predictors of mortality in 97 patients aged 70 years and over (mean: 79.3 years) who required artificial ventilation for more than 3 hours. The median duration of artificial ventilation was 16 days (range: 1-85). Of these patients, 61% survived ventilator weaning and 37% were discharged from hospital alive. We performed univariate and logistic regression analysis to determine the predictors of dying before weaning and hospital discharge using severity of illness data. The predictors of hospital mortality were examined in 86 patients, excluding those who had malignant disease, all of whom died in hospital. Activities of daily living (ADL) were ranked as "bedridden", "in wheelchair", or "independent". In the three age groups-up to 70 years, 75 to 84 years and 85 years and over-the respective survival rates were 63% (weaned) and 67% (discharged), 69% (weaned) and 39% (discharged), and 33% (weaned) and 12% (discharged); the overall p values being 0.026 (weaned) and 0.003 (discharged). The predictors of dying before weaning according to univariate analysis were as follows: age (p = 0.026), respiratory or cardiac arrest on admission (p = 0.003), acute physiology score (APS) of 25 or more on admission (p = 0.000), systolic blood pressure below 90 mmHg on admission (p = 0.001), hemoglobin less than 11 g/dl (p = 0.044), and total protein less than 6 g/dl (p = 0.007). The predictors of hospital mortality by univariate analysis were as follows: age (p = 0.003), limited ADL (p = 0.001), respiratory or cardiac arrest on admission (p = 0.011), APS 25 or more on admission (p = 0.049), systolic blood pressure less than 90 mmHg on admission (p = 0.002), hemoglobin less than 11 g/dl (p = 0.028), and GOT or GPT more than 50 IU (p = 0.038). The relative risk of dying before weaning decreased in the order: respiratory or cardiac arrest on admission, systolic blood pressure less than 90 mmHg on admission, total protein less than 6 g

Poststroke epilepsy in the Copenhagen stroke study: incidence and predictors

DEFF Research Database (Denmark)

Kammersgaard, Lars Peter; Olsen, Tom Skyhøj

2005-01-01

Poststroke epilepsy (PSE) is a feared complication after stroke and is reported in 3% to 5% of stroke survivors. In this study we sought to identify incidence and predictors of PSE in an unselected stroke population with a follow-up period of 7 years. The study was community-based and comprises...... a cohort of 1197 consecutively and prospectively admitted patients with stroke. Patients were followed up for 7 years. We defined PSE as recurrent epileptic seizures with onset after stroke and requiring antiepileptic prophylaxis. PSE was related to clinical factors (age, sex, onset stroke severity, lesion...... size on computed tomography scans, stroke subtype, localization, stroke risk factor profile, and early seizures) in univariate analyses. Independent predictors of PSE were identified through multiple logistic regression analyses. Overall, 38 patients (3.2%) developed PSE. Univariately, PSE...

Mortality predictors of epilepsy and epileptic seizures among hospitalized elderly

Directory of Open Access Journals (Sweden)

Telma M. R Assis

2015-06-01

Full Text Available Epilepsy and epileptic seizures are common brain disorders in the elderly and are associated with increased mortality that may be ascribed to the underlying disease or epilepsy-related causes.Objective To describe mortality predictors of epilepsy and epileptic seizures in elderly inpatients.Method Retrospective analysis was performed on hospitalized elderly who had epilepsy or epileptic seizures, from January 2009 to December 2010. One hundred and twenty patients were enrolled.Results The most common etiology was ischemic stroke (37%, followed by neoplasias (13%, hemorrhagic stroke (12%, dementias (11.4% and metabolic disturbances (5.5%. In a univariate analysis, disease duration (p = 0.04, status epilepticus (p < 0.001 and metabolic etiology (p = 0.005 were associated with mortality. However after adjustment by logistic regression, only status epilepticus remained an independent predictor of death (odds ratio = 13; 95%CI = 2.3 to 72; p = 0.004.Conclusion In this study status epilepticus was an independent risk factor for death during hospitalization.

Univariate normalization of bispectrum using Hölder's inequality.

Science.gov (United States)

Shahbazi, Forooz; Ewald, Arne; Nolte, Guido

2014-08-15

Considering that many biological systems including the brain are complex non-linear systems, suitable methods capable of detecting these non-linearities are required to study the dynamical properties of these systems. One of these tools is the third order cummulant or cross-bispectrum, which is a measure of interfrequency interactions between three signals. For convenient interpretation, interaction measures are most commonly normalized to be independent of constant scales of the signals such that its absolute values are bounded by one, with this limit reflecting perfect coupling. Although many different normalization factors for cross-bispectra were suggested in the literature these either do not lead to bounded measures or are themselves dependent on the coupling and not only on the scale of the signals. In this paper we suggest a normalization factor which is univariate, i.e., dependent only on the amplitude of each signal and not on the interactions between signals. Using a generalization of Hölder's inequality it is proven that the absolute value of this univariate bicoherence is bounded by zero and one. We compared three widely used normalizations to the univariate normalization concerning the significance of bicoherence values gained from resampling tests. Bicoherence values are calculated from real EEG data recorded in an eyes closed experiment from 10 subjects. The results show slightly more significant values for the univariate normalization but in general, the differences are very small or even vanishing in some subjects. Therefore, we conclude that the normalization factor does not play an important role in the bicoherence values with regard to statistical power, although a univariate normalization is the only normalization factor which fulfills all the required conditions of a proper normalization. Copyright © 2014 Elsevier B.V. All rights reserved.

Severe virus associated community acquired pneumonia: predictors of lethality

Directory of Open Access Journals (Sweden)

T. O. Pertseva

2016-06-01

Full Text Available Despite the fact that the influenza virus pathogenicity factors have been well studied in vitro, in vivo lack is presented in understanding of the those risk factors, objective and laboratory parameters, which related most of all to the fatal virus-associated community-aquired pneumonia (CAP. That is why the purpose of the study was to study the clinical and laboratory characteristics of patients with severe virus-associated CAP during the 2015–2016 influenza epidemic and their role as predictors of patients’ mortality. To do this, patients with severe virus-associated CAP were examined. They were divided into 2 groups depending on the outcome of treatment: 1st- deaths from the virus-associated severe CAP and 2nd - patients with successful treatment of the severe virus-associated CAP. Special statistical method was used – one-dimensional analysis of variance to compare individual parameters between the two groups of patients (surviving and deceased. Pearson χ2 test (contingency table was used for categorical variables. Factors that were significant predictors of mortality as a result of univariate analysis were tested using multifactorial analysis using logistic regression. In the final model, each parameter must have had a significant impact on mortality. It was found that risk factors for death in patients with severe virus-associated CAP according to univariate analysis were: presence of obesity, disorders of consciousness, BH≥35 min, SaO2<80%, PaO2<50 mm Hg, mmHg PaCO2 ≥50 mmHg during hospitalization. Independent predictors of mortality according to the logistic regression are the presence of obesity, disorders of consciousness, PaO2<50 mm Hg, mmHg PaCO2 ≥50 mmHg. Given that among clinical and laboratory parameters key parameters that significantly influence the outcome, are indicators of the severity of hypoxia and hypoxemia, a major step in determining the severity of the patients with virus-associated severe emergency is

Radiologic Predictors for Clinical Stage IA Lung Adenocarcinoma with Ground Glass Components: A Multi-Center Study of Long-Term Outcomes.

Directory of Open Access Journals (Sweden)

Zhao Li

Full Text Available This study was to define preoperative predictors from radiologic findings for the pathologic risk groups based on long-term surgical outcomes, in the aim to help guide individualized patient management.We retrospectively reviewed 321 consecutive patients with clinical stage IA lung adenocarcinoma with ground glass component on computed tomography (CT scanning. Pathologic diagnosis for resection specimens was based on the 2011 IASLC/ATS/ERS classification of lung adenocarcinoma. Patients were classified into different pathologic risk grading groups based on their lymph node status, local regional recurrence and overall survival. Radiologic characteristics of the pulmonary nodules were re-evaluated by reconstructed three-dimension CT (3D-CT. Univariate and multivariate analysis identifies independent radiologic predictors from tumor diameter, total volume (TV, average CT value (AVG, and solid-to-tumor (S/T ratio. Receiver operating characteristic curves (ROC studies were carried out to determine the cutoff value(s for the predictor(s. Univariate cox regression model was used to determine the clinical significance of the above findings.A total of 321 patients with clinical stage IA lung adenocarcinoma with ground glass components were included in our study. Patients were classified into two pathologic low- and high- risk groups based on their distinguished surgical outcomes. A total of 134 patients fell into the low-risk group. Univariate and multivariate analyses identified AVG (HR: 32.210, 95% CI: 3.020-79.689, P<0.001 and S/T ratio (HR: 12.212, 95% CI: 5.441-27.408, P<0.001 as independent predictors for pathologic risk grading. ROC curves studies suggested the optimal cut-off values for AVG and S/T ratio were-198 (area under the curve [AUC] 0.921, 2.9 (AUC 0.996 and 54% (AUC 0.907, respectively. The tumor diameter and TV were excluded for the low AUCs (0.778 and 0.767. Both the cutoff values of AVG and S/T ratio were correlated with pathologic

A comparison of bivariate and univariate QTL mapping in livestock populations

Directory of Open Access Journals (Sweden)

Sorensen Daniel

2003-11-01

Full Text Available Abstract This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML. The method was applied to investigate bivariate and univariate QTL mapping analyses, using simulated data. Specifically, we report results on the statistical power to detect a QTL and on the precision of parameter estimates using univariate and bivariate approaches. The model and methodology were also applied to study the effectiveness of partitioning the overall genetic correlation between two traits into a component due to many genes of small effect, and one due to the QTL. It is shown that when the QTL has a pleiotropic effect on two traits, a bivariate analysis leads to a higher statistical power of detecting the QTL and to a more precise estimate of the QTL's map position, in particular in the case when the QTL has a small effect on the trait. The increase in power is most marked in cases where the contributions of the QTL and of the polygenic components to the genetic correlation have opposite signs. The bivariate REML analysis can successfully partition the two components contributing to the genetic correlation between traits.

Univariate/multivariate genome-wide association scans using data from families and unrelated samples.

Directory of Open Access Journals (Sweden)

Lei Zhang

2009-08-01

Full Text Available As genome-wide association studies (GWAS are becoming more popular, two approaches, among others, could be considered in order to improve statistical power for identifying genes contributing subtle to moderate effects to human diseases. The first approach is to increase sample size, which could be achieved by combining both unrelated and familial subjects together. The second approach is to jointly analyze multiple correlated traits. In this study, by extending generalized estimating equations (GEEs, we propose a simple approach for performing univariate or multivariate association tests for the combined data of unrelated subjects and nuclear families. In particular, we correct for population stratification by integrating principal component analysis and transmission disequilibrium test strategies. The proposed method allows for multiple siblings as well as missing parental information. Simulation studies show that the proposed test has improved power compared to two popular methods, EIGENSTRAT and FBAT, by analyzing the combined data, while correcting for population stratification. In addition, joint analysis of bivariate traits has improved power over univariate analysis when pleiotropic effects are present. Application to the Genetic Analysis Workshop 16 (GAW16 data sets attests to the feasibility and applicability of the proposed method.

Frequency and clinical predictors of coronary artery disease in chronic renal failure renal transplant candidates.

Science.gov (United States)

de Albuquerque Seixas, Emerson; Carmello, Beatriz Leone; Kojima, Christiane Akemi; Contti, Mariana Moraes; Modeli de Andrade, Luiz Gustavo; Maiello, José Roberto; Almeida, Fernando Antonio; Martin, Luis Cuadrado

2015-05-01

Cardiovascular diseases are major causes of mortality in chronic renal failure patients before and after renal transplantation. Among them, coronary disease presents a particular risk; however, risk predictors have been used to diagnose coronary heart disease. This study evaluated the frequency and importance of clinical predictors of coronary artery disease in chronic renal failure patients undergoing dialysis who were renal transplant candidates, and assessed a previously developed scoring system. Coronary angiographies conducted between March 2008 and April 2013 from 99 candidates for renal transplantation from two transplant centers in São Paulo state were analyzed for associations between significant coronary artery diseases (≥70% stenosis in one or more epicardial coronary arteries or ≥50% in the left main coronary artery) and clinical parameters. Univariate logistic regression analysis identified diabetes, angina, and/or previous infarction, clinical peripheral arterial disease and dyslipidemia as predictors of coronary artery disease. Multiple logistic regression analysis identified only diabetes and angina and/or previous infarction as independent predictors. The results corroborate previous studies demonstrating the importance of these factors when selecting patients for coronary angiography in clinical pretransplant evaluation.

Predictors of red blood cell transfusion after cardiac surgery: a prospective cohort study

Directory of Open Access Journals (Sweden)

Camila Takao Lopes

2015-12-01

Full Text Available Abstract OBJECTIVE To identify predictors of red blood cell transfusion (RBCT after cardiac surgery. METHOD A prospective cohort study performed with 323 adults after cardiac surgery, from April to December of 2013. A data collection instrument was constructed by the researchers containing factors associated with excessive bleeding after cardiac surgery, as found in the literature, for investigation in the immediate postoperative period. The relationship between risk factors and the outcome was assessed by univariate analysis and logistic regression. RESULTS The factors associated with RBCT in the immediate postoperative period included lower height and weight, decreased platelet count, lower hemoglobin level, higher prevalence of platelet count <150x10 3/mm3, lower volume of protamine, longer duration of anesthesia, higher prevalence of intraoperative RBCT, lower body temperature, higher heart rate and higher positive end-expiratory pressure. The independent predictor was weight <66.5Kg. CONCLUSION Factors associated with RBCT in the immediate postoperative period of cardiac surgery were found. The independent predictor was weight.

Postresection CA19-9 and margin status as predictors of recurrence after adjuvant treatment for pancreatic carcinoma: Analysis of NRG oncology RTOG trial 9704

Directory of Open Access Journals (Sweden)

William F. Regine, MD

2018-04-01

Full Text Available Purpose: NRG Oncology RTOG 9704 was the first adjuvant trial to validate the prognostic value of postresection CA19-9 levels for survival in patients with pancreatic carcinoma. The data resulting from this study also provide information about predictors of recurrence that may be used to tailor individualized management in this disease setting. This secondary analysis assessed the prognostic value of postresection CA19-9 and surgical margin status (SMS in predicting patterns of disease recurrence. Methods and materials: This multicenter cooperative trial included participants who were enrolled as patients at oncology treatment sites in the United States and Canada. The study included 451 patients analyzable for SMS, of whom 385 were eligible for postresection CA19-9 analysis. Postresection CA19-9 was analyzed at cut points of 90, 180, and continuously. Patterns of disease recurrence included local/regional recurrence (LRR and distant failure (DF. Multivariable analyses included treatment, tumor size, and nodal status. To adjust for multiple comparisons, a P value of ≤ .01 was considered statistically significant and > .01 to ≤ .05 to be a trend. Results: For CA19-9, 132 (34% patients were Lewis antigen–negative (no CA19-9 expression, 200 (52% had levels <90, and 220 (57% had levels <180. A total of 188 patients (42% had negative margins, 152 (34% positive, and 111 (25% unknown. On univariate analysis, CA19-9 cut at 90 was associated with increases in LRR (trend and DF. Results were similar at the 180 cut point. SMS was not associated with an increase in LRR on univariate or multivariate analyses. On multivariable analysis, CA19-9 ≥ 90 was associated with increased LRR and DF. Results were similar at the 180 cut point. Conclusions: In this prospective evaluation, postresection CA19-9 was a significant predictor of both LRR and DF, whereas SMS was not. These findings support consideration of adjuvant radiation therapy dose

Comparison of spectrum normalization techniques for univariate ...

Indian Academy of Sciences (India)

Laser-induced breakdown spectroscopy; univariate study; normalization models; stainless steel; standard error of prediction. Abstract. Analytical performance of six different spectrum normalization techniques, namelyinternal normalization, normalization with total light, normalization with background along with their ...

Extracorporeal Membrane Oxygenation for Adult Community-Acquired Pneumonia: Outcomes and Predictors of Mortality.

Science.gov (United States)

Ramanathan, Kollengode; Tan, Chuen Seng; Rycus, Peter; MacLaren, Graeme

2017-05-01

Extracorporeal membrane oxygenation is a rescue therapy used to support severe cardiorespiratory failure. Data on outcomes from severe community-acquired pneumonia in adults receiving rescue extracorporeal membrane oxygenation are mainly confined to single-center experiences or specific pathogens. We examined data from the Extracorporeal Life Support Organisation registry to identify risk factors for poor outcomes in adult patients with community-acquired pneumonia. Retrospective data analysis. Extracorporeal Life Support Organization Registry database. We collected deidentified data on adult patients (> 18 yr) receiving extracorporeal membrane oxygenation for community-acquired pneumonia between 2002 and 2012. Patients with incomplete data or brain death were excluded. The primary outcome measure was in-hospital mortality. Other measurements included demographic information, pre-extracorporeal membrane oxygenation mechanical ventilation and biochemical variables, inotrope requirements, extracorporeal membrane oxygenation mode, duration, and complications. Initial univariate analysis assessed potential associations between survival and various pre-extracorporeal membrane oxygenation and extracorporeal membrane oxygenation factors. Variables with p values of less than 0.1 were considered for logistic regression analysis to identify predictors of mortality. None. One thousand fifty-five patients, who satisfied inclusion criteria, were included in the final analysis. There was an increase in the number of patients cannulated per annum over the 10-year period studied. Univariate analysis identified pre-extracorporeal membrane oxygenation and extracorporeal membrane oxygenation variables associated with high mortality. Further multiple regression analysis identified certain pre-extracorporeal membrane oxygenation factors as predictors of mortality, including duration of mechanical ventilation prior to extracorporeal membrane oxygenation, lower arterial pressure, fungal

Postoperative Neutrophil-to-Lymphocyte Ratio as a Predictor of Long-Term Prognosis after Pancreatectomy for Pancreatic Carcinoma: A Retrospective Analysis.

Science.gov (United States)

Tsujita, Eiji; Ikeda, Yasuharu; Kinjo, Nao; Yamashita, Yo-Ichi; Hisano, Terumasa; Furukawa, Masayuki; Taguchi, Ken-Ichi; Morita, Masaru; Toh, Yasushi; Okamura, Takeshi

2017-06-01

To clarify the prognostic value of the postoperative blood neutrophil-to-lymphocyte ratio (NLR) in patients undergoing pancreatectomy for pancreatic carcinoma (PAC). A high preoperative NLR has been reported to be a predictor of poor survival in patients with various cancers including PAC. However, it has not been extensively examined in postoperative NLR after pancreatectomy for PAC. This retrospective study enrolled 86 patients who underwent pancreatectomy without preoperative therapy for PAC from 2005 to 2013. Clinicopathological parameters, including postoperative NLR, were evaluated to identify predictors of the overall and recurrence-free survival of patients after pancreatectomy. Univariate and multivariate analyses were performed, using the Cox proportional hazards model. Univariate and multivariate analyses showed that postoperative NLR at one month was an independent prognostic factor in the overall and recurrence-free survival of patients. The 3-year survival rate after pancreatectomy was as follows: 33.9 per cent in patients with a postoperative NLR of less than 3.0 at one month; and 7.3 per cent in those with a postoperative NLR of 3.0 or more at one month (P pancreatectomy in the NLR at one month ≥3.0 group was significantly lower than in the NLR at one month pancreatectomy in patients with PAC.

Preliminary investigation of predictors of the cutting forces for some South African coals

Energy Technology Data Exchange (ETDEWEB)

MacGregor, I M; Baker, D R

1985-08-01

This paper discusses the possible use of petrological data and proximate analyses in the prediction of cutting forces for coal. It is restricted to the development of univariate predictors based on data from thirteen collieries in five major Transvaal and Orange Free State coalfields and three coal provinces. The aim of the work was the identification and development of the best predictors of mean peak cutting force and Hardgrove grindability index from among the independent variables evaluated. The data were processed according to the SPSS computer package. The analysis revealed reasonable correlations between the Hardgrove grindability index and (1) the volatiles and vitrinite content in the Vereeniging-Sasolburg and South Rand Coalfields, (2) the contents of vitrinite, vitrinite plus exinite, and minerals plus inertinite in the Eastern Transvaal Coalfield.

Prognostic factors for long-term outcome after percutaneous thermal ablation for hepatocellular carcinoma: a survival analysis of 137 consecutive patients

Energy Technology Data Exchange (ETDEWEB)

Xu, H.-X. [Department of Medical Ultrasonics, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Lu, M.-D. [Department of Hepatobiliary Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Xie, X.-Y. [Department of Medical Ultrasonics, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Yin, X.-Y. [Department of Hepatobiliary Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Kuang, M. [Department of Hepatobiliary Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Chen, J.-W. [Department of Hepatobiliary Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Xu, Z.-F. [Department of Medical Ultrasonics, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China); Liu, G.-J. [Department of Medical Ultrasonics, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou (China)

2005-09-01

AIM: To identify prognostic factors for long-term outcome for patients with hepatocellular carcinoma (HCC) after percutaneous microwave or radiofrequency ablation. MATERIALS AND METHODS: In total, 137 consecutive patients with HCC underwent microwave or radiofrequency ablation with curative intent; 16 possible prognostic factors were evaluated for their association with overall survival (OS) and disease-free survival (DFS) using univariate and multivariate analysis. RESULTS: The median OS and DFS were 27.0 months and 8.2 months, respectively. OS rates for all patients at 1, 2, 3, 4 and 5 years were 73.9%, 52.1%, 42.8%, 26.2% and 20.1%, respectively. DFS rates at 1, 2, 3 and 4 years were 38.1%, 21.9%, 18.8%, and 14.1%, respectively. Pretreatment serum alpha-fetoprotein (AFP) >200 ng/ml, pretreatment serum albumin {<=}35 g/dl, liver function Child's class C and incomplete ablation were found to be significant predictors for OS by univariate analysis. Using multivariate analysis, incomplete ablation was identified to be the most significant independent predictor for OS. Other independent predictors for OS were serum albumin level, serum AFP level and Child-Pugh classification. Recurrence after hepatectomy and prothrombin time >14 s were identified to be significant predictors for DFS by univariate analysis, and the former was the only independent predictor for DFS by multivariate analysis. CONCLUSION: Prognosis for patients with HCC after thermal ablation with curative intent was determined by treatment response to ablation, pretreatment serum AFP, and liver function reserve. Tumour response to treatment was the most predictive factor for long-term survival and was related to tumour size, thus careful selection of patients for ablation therapy is recommended.

Prognostic factors for long-term outcome after percutaneous thermal ablation for hepatocellular carcinoma: a survival analysis of 137 consecutive patients

International Nuclear Information System (INIS)

Xu, H.-X.; Lu, M.-D.; Xie, X.-Y.; Yin, X.-Y.; Kuang, M.; Chen, J.-W.; Xu, Z.-F.; Liu, G.-J.

2005-01-01

AIM: To identify prognostic factors for long-term outcome for patients with hepatocellular carcinoma (HCC) after percutaneous microwave or radiofrequency ablation. MATERIALS AND METHODS: In total, 137 consecutive patients with HCC underwent microwave or radiofrequency ablation with curative intent; 16 possible prognostic factors were evaluated for their association with overall survival (OS) and disease-free survival (DFS) using univariate and multivariate analysis. RESULTS: The median OS and DFS were 27.0 months and 8.2 months, respectively. OS rates for all patients at 1, 2, 3, 4 and 5 years were 73.9%, 52.1%, 42.8%, 26.2% and 20.1%, respectively. DFS rates at 1, 2, 3 and 4 years were 38.1%, 21.9%, 18.8%, and 14.1%, respectively. Pretreatment serum alpha-fetoprotein (AFP) >200 ng/ml, pretreatment serum albumin ≤35 g/dl, liver function Child's class C and incomplete ablation were found to be significant predictors for OS by univariate analysis. Using multivariate analysis, incomplete ablation was identified to be the most significant independent predictor for OS. Other independent predictors for OS were serum albumin level, serum AFP level and Child-Pugh classification. Recurrence after hepatectomy and prothrombin time >14 s were identified to be significant predictors for DFS by univariate analysis, and the former was the only independent predictor for DFS by multivariate analysis. CONCLUSION: Prognosis for patients with HCC after thermal ablation with curative intent was determined by treatment response to ablation, pretreatment serum AFP, and liver function reserve. Tumour response to treatment was the most predictive factor for long-term survival and was related to tumour size, thus careful selection of patients for ablation therapy is recommended

The pathways for intelligible speech: multivariate and univariate perspectives.

Science.gov (United States)

Evans, S; Kyong, J S; Rosen, S; Golestani, N; Warren, J E; McGettigan, C; Mourão-Miranda, J; Wise, R J S; Scott, S K

2014-09-01

An anterior pathway, concerned with extracting meaning from sound, has been identified in nonhuman primates. An analogous pathway has been suggested in humans, but controversy exists concerning the degree of lateralization and the precise location where responses to intelligible speech emerge. We have demonstrated that the left anterior superior temporal sulcus (STS) responds preferentially to intelligible speech (Scott SK, Blank CC, Rosen S, Wise RJS. 2000. Identification of a pathway for intelligible speech in the left temporal lobe. Brain. 123:2400-2406.). A functional magnetic resonance imaging study in Cerebral Cortex used equivalent stimuli and univariate and multivariate analyses to argue for the greater importance of bilateral posterior when compared with the left anterior STS in responding to intelligible speech (Okada K, Rong F, Venezia J, Matchin W, Hsieh IH, Saberi K, Serences JT,Hickok G. 2010. Hierarchical organization of human auditory cortex: evidence from acoustic invariance in the response to intelligible speech. 20: 2486-2495.). Here, we also replicate our original study, demonstrating that the left anterior STS exhibits the strongest univariate response and, in decoding using the bilateral temporal cortex, contains the most informative voxels showing an increased response to intelligible speech. In contrast, in classifications using local "searchlights" and a whole brain analysis, we find greater classification accuracy in posterior rather than anterior temporal regions. Thus, we show that the precise nature of the multivariate analysis used will emphasize different response profiles associated with complex sound to speech processing. © The Author 2013. Published by Oxford University Press.

Analysis of the Modified Smith Predictor

Directory of Open Access Journals (Sweden)

Jorge A. Herrera-Cuartas

2013-11-01

Full Text Available In this paper an analysis about the modified Smith predictor, is presented. The modified Smith predictor is a scheme used to control stable, unstable and integrative systems. The closed loop equation is developed and analyzed. Additionally, various test are made to verify the behavior of the control scheme. Specify, three test are made. First, it is verify the behavior of the scheme to deal with an uncertainty in the delay model. Second, it is verify the behavior in the face of uncertainties in the parameter of the rational model. 

Influence of microclimatic ammonia levels on productive performance of different broilers' breeds estimated with univariate and multivariate approaches.

Science.gov (United States)

Soliman, Essam S; Moawed, Sherif A; Hassan, Rania A

2017-08-01

Birds litter contains unutilized nitrogen in the form of uric acid that is converted into ammonia; a fact that does not only affect poultry performance but also has a negative effect on people's health around the farm and contributes in the environmental degradation. The influence of microclimatic ammonia emissions on Ross and Hubbard broilers reared in different housing systems at two consecutive seasons (fall and winter) was evaluated using a discriminant function analysis to differentiate between Ross and Hubbard breeds. A total number of 400 air samples were collected and analyzed for ammonia levels during the experimental period. Data were analyzed using univariate and multivariate statistical methods. Ammonia levels were significantly higher (p0.05) were found between the two farms in body weight, body weight gain, feed intake, feed conversion ratio, and performance index (PI) of broilers. Body weight; weight gain and PI had increased values (pbroiler breed. Ammonia emissions were positively (although weekly) correlated with the ambient relative humidity (r=0.383; p0.05). Test of significance of discriminant function analysis did not show a classification based on the studied traits suggesting that they cannot been used as predictor variables. The percentage of correct classification was 52% and it was improved after deletion of highly correlated traits to 57%. The study revealed that broiler's growth was negatively affected by increased microclimatic ammonia concentrations and recommended the analysis of broilers' growth performance parameters data using multivariate discriminant function analysis.

Suicidal Ideation in Anxiety-Disordered Youth: Identifying Predictors of Risk

Science.gov (United States)

O'Neil Rodriguez, Kelly A.; Kendall, Philip C.

2014-01-01

Objective Evidence is mixed regarding an independent association between anxiety and suicidality. Beyond associations with demographic factors and depression, do anxiety disorders increase risk for suicidality in youth? Given that not all anxiety-disordered youth experience suicidal ideation, potential predictors of risk also require investigation. Method The present study examined (a) the independent relationship between anxiety and suicidal ideation and (b) emotion dysregulation and distress intolerance as predictors of risk for suicidal ideation in a sample of anxiety-disordered youth aged 7-17 (N = 86, M = 11.5). Youth and their parents reported on suicidality, emotion dysregulation, and distress intolerance. Distress tolerance was also measured by a computerized behavioral task. Results Results support an independent relationship between anxiety symptomatology and youth-reported suicidal ideation, controlling for depressive symptoms. Youth self-report of emotion dysregulation and distress intolerance predicted higher levels of suicidal ideation in univariate analyses. In a multivariate analysis including all significant predictors, only anxiety symptomatology uniquely predicted suicidal ideation. Conclusions Results provide recommendations for the assessment and treatment of suicidality in anxiety-disordered youth. Suggestions for future research investigating the relationship between anxiety and suicidal ideation are offered. PMID:24156368

Modeling the potential risk factors of bovine viral diarrhea prevalence in Egypt using univariable and multivariable logistic regression analyses

Directory of Open Access Journals (Sweden)

Abdelfattah M. Selim

2018-03-01

Full Text Available Aim: The present cross-sectional study was conducted to determine the seroprevalence and potential risk factors associated with Bovine viral diarrhea virus (BVDV disease in cattle and buffaloes in Egypt, to model the potential risk factors associated with the disease using logistic regression (LR models, and to fit the best predictive model for the current data. Materials and Methods: A total of 740 blood samples were collected within November 2012-March 2013 from animals aged between 6 months and 3 years. The potential risk factors studied were species, age, sex, and herd location. All serum samples were examined with indirect ELIZA test for antibody detection. Data were analyzed with different statistical approaches such as Chi-square test, odds ratios (OR, univariable, and multivariable LR models. Results: Results revealed a non-significant association between being seropositive with BVDV and all risk factors, except for species of animal. Seroprevalence percentages were 40% and 23% for cattle and buffaloes, respectively. OR for all categories were close to one with the highest OR for cattle relative to buffaloes, which was 2.237. Likelihood ratio tests showed a significant drop of the -2LL from univariable LR to multivariable LR models. Conclusion: There was an evidence of high seroprevalence of BVDV among cattle as compared with buffaloes with the possibility of infection in different age groups of animals. In addition, multivariable LR model was proved to provide more information for association and prediction purposes relative to univariable LR models and Chi-square tests if we have more than one predictor.

Univaried models in the series of temperature of the air

International Nuclear Information System (INIS)

Leon Aristizabal Gloria esperanza

2000-01-01

The theoretical framework for the study of the air's temperature time series is the theory of stochastic processes, particularly those known as ARIMA, that make it possible to carry out a univaried analysis. ARIMA models are built in order to explain the structure of the monthly temperatures corresponding to the mean, the absolute maximum, absolute minimum, maximum mean and minimum mean temperatures, for four stations in Colombia. By means of those models, the possible evolution of the latter variables is estimated with predictive aims in mind. The application and utility of the models is discussed

Comparison between the univariate and multivariate analysis on the partial characterization of the endoglucanase produced in the solid state fermentation by Aspergillus oryzae ATCC 10124.

Science.gov (United States)

de Brito, Aila Riany; Santos Reis, Nadabe Dos; Silva, Tatielle Pereira; Ferreira Bonomo, Renata Cristina; Trovatti Uetanabaro, Ana Paula; de Assis, Sandra Aparecida; da Silva, Erik Galvão Paranhos; Aguiar-Oliveira, Elizama; Oliveira, Julieta Rangel; Franco, Marcelo

2017-11-26

Endoglucanase production by Aspergillus oryzae ATCC 10124 cultivated in rice husks or peanut shells was optimized by experimental design as a function of humidity, time, and temperature. The optimum temperature for the endoglucanase activity was estimated by a univariate analysis (one factor at the time) as 50°C (rice husks) and 60°C (peanut shells), however, by a multivariate analysis (synergism of factors), it was determined a different temperature (56°C) for endoglucanase from peanut shells. For the optimum pH, values determined by univariate and multivariate analysis were 5 and 5.2 (rice husk) and 5 and 7.6 (peanut shells). In addition, the best half-lives were observed at 50°C as 22.8 hr (rice husks) and 7.3 hr (peanut shells), also, 80% of residual activities was obtained between 30 and 50°C for both substrates, and the pH stability was improved at 5-7 (rice hulls) and 6-9 (peanut shells). Both endoglucanases obtained presented different characteristics as a result of the versatility of fungi in different substrates.

Exploratory regression analysis: a tool for selecting models and determining predictor importance.

Science.gov (United States)

Braun, Michael T; Oswald, Frederick L

2011-06-01

Linear regression analysis is one of the most important tools in a researcher's toolbox for creating and testing predictive models. Although linear regression analysis indicates how strongly a set of predictor variables, taken together, will predict a relevant criterion (i.e., the multiple R), the analysis cannot indicate which predictors are the most important. Although there is no definitive or unambiguous method for establishing predictor variable importance, there are several accepted methods. This article reviews those methods for establishing predictor importance and provides a program (in Excel) for implementing them (available for direct download at http://dl.dropbox.com/u/2480715/ERA.xlsm?dl=1) . The program investigates all 2(p) - 1 submodels and produces several indices of predictor importance. This exploratory approach to linear regression, similar to other exploratory data analysis techniques, has the potential to yield both theoretical and practical benefits.

Predictors of tonic immobility during traumatic events

Directory of Open Access Journals (Sweden)

Arturo Bados

2015-10-01

Full Text Available Tonic immobility (TI is a possible reaction to danger that is facilitated by intense fear, physical restraint and perceived inability to escape. Other variables that could affect TI, such as the type and characteristics of traumatic events and personal characteristics have been little or no studied. The present study evaluated the power of these variables to predict TI in a sample of 273 college students who had experienced at least one traumatic event. Of the sample, 7.7% and 13.2% responded with TI according to the two stricter definitions adopted. Most of the variables were significantly associated with TI in univariate analyses. However, in a multiple regression analysis, only certain features of the events (occurrence of physical/sexual abuse, number of different types of events experienced and certain reactions to them (perception of how traumatic were the events, severe fear response were significant predictors of TI. Since these predictors explained only 25% of the variance, the influence of other variables -such as neuroticism, negative affectivity and perceived lack of personal control or resources to cope with traumatic events- should be investigated.

Pretransplant HbA1c Is a Useful Predictor for the Development of New-Onset Diabetes in Renal Transplant Recipients Receiving No or Low-Dose Erythropoietin

Directory of Open Access Journals (Sweden)

Kazuaki Tokodai

2014-01-01

Full Text Available Aims. To evaluate the predictive power of pretransplant HbA1c for new-onset diabetes after transplantation (NODAT in kidney transplant candidates, who had several predispositions for fluctuated HbA1c levels. Methods. We performed a retrospective study of 119 patients without diabetes who received kidney transplantation between March 2000 and January 2012. Univariate and multivariate logistic regression analyses were used to investigate the association of several parameters with NODAT. Predictive discrimination of HbA1c was assessed using a receiver-operating characteristic curve. Results. Seventeen patients (14.3% developed NODAT within 1 year of transplantation. Univariate logistic regression analysis revealed that recipient age, gender, and HbA1c were predictors of NODAT. In the multivariate analysis, the association between pretransplant HbA1c and NODAT development did not reach statistical significance (P=0.07. To avoid the strong influence of high-dose erythropoietin on HbA1c levels, we performed subgroup analyses on 85 patients receiving no or low-dose (≤6000 IU/week erythropoietin. HbA1c was again an independent predictor for NODAT. Receiver-operating characteristic analysis revealed a cut-off value of 5.2% with an optimal sensitivity of 64% and specificity of 78% for predicting NODAT. Conclusions. Our results reveal that the pretransplant HbA1c level is a useful predictor for NODAT in patients receiving no or low-dose erythropoietin.

Urinary neutrophil gelatinase-associated lipocalin as an early predictor of prolonged intensive care unit stay after cardiac surgery

Directory of Open Access Journals (Sweden)

Elena Bignami

2012-01-01

Full Text Available Neutrophil gelatinase-associated lipocalin (NGAL is a protein of lipocalin family highly expressed in various pathologic states and is an early biomarker of acute kidney injury in cardiac surgery. We performed an observational study to evaluate the role of NGAL in predicting postoperative intensive care stay in high-risk patients undergoing cardiac surgery. We enrolled 27 consecutive patients who underwent high-risk cardiac surgery with cardiopulmonary bypass. Urinary NGAL (uNGAL was measured before surgery, at intensive care unit (ICU arrival and 24 h later. Univariate and multivariate predictors of ICU stay were performed. uNGAL was 18.0 (8.7-28.1 ng/mL at baseline, 10.7 (4.35-36.0 ng/mL at ICU arrival and 29.6 (9.65-29.5 24 h later. The predictors of prolonged ICU stay at the multivariate analysis were body mass index (BMI, uNGAL 24 h after surgery, and aortic cross-clamp time. The predictors of high uNGAL levels 24 h after at a multivariate analysis were preoperative uNGAL and logistic European System for Cardiac Operative Risk Evaluation. At a multivariate analysis the only independent predictors of prolonged ICU stay were BMI, uNGAL 24 h after surgery and aortic cross-clamp time.

Pretreatment Predictors of Adverse Radiation Effects After Radiosurgery for Arteriovenous Malformation

International Nuclear Information System (INIS)

Hayhurst, Caroline; Monsalves, Eric; Prooijen, Monique van; Cusimano, Michael; Tsao, May; Menard, Cynthia; Kulkarni, Abhaya V.; Schwartz, Michael; Zadeh, Gelareh

2012-01-01

Purpose: To identify vascular and dosimetric predictors of symptomatic T2 signal change and adverse radiation effects after radiosurgery for arteriovenous malformation, in order to define and validate preexisting risk models. Methods and Materials: A total of 125 patients with arteriovenous malformations (AVM) were treated at our institution between 2005 and 2009. Eighty-five patients have at least 12 months of clinical and radiological follow-up. Any new-onset headaches, new or worsening seizures, or neurological deficit were considered adverse events. Follow-up magnetic resonance images were assessed for new onset T2 signal change and the volume calculated. Pretreatment characteristics and dosimetric variables were analyzed to identify predictors of adverse radiation effects. Results: There were 19 children and 66 adults in the study cohort, with a mean age of 34 (range 6–74). Twenty-three (27%) patients suffered adverse radiation effects (ARE), 9 patients with permanent neurological deficit (10.6%). Of these, 5 developed fixed visual field deficits. Target volume and 12 Gy volume were the most significant predictors of adverse radiation effects on univariate analysis (p 3 , above which the rate of ARE increased dramatically. Multivariate analysis target volume and the absence of prior hemorrhage are the only significant predictors of ARE. The volume of T2 signal change correlates to ARE, but only target volume is predictive of a higher volume of T2 signal change. Conclusions: Target volume and the absence of prior hemorrhage is the most accurate predictor of adverse radiation effects and complications after radiosurgery for AVMs. A high percentage of permanent visual field defects in this series suggest the optic radiation is a critical radiosensitive structure.

Predictors and effects of patellofemoral pain following hamstring-tendon ACL reconstruction.

Science.gov (United States)

Culvenor, Adam G; Collins, Natalie J; Vicenzino, Bill; Cook, Jill L; Whitehead, Timothy S; Morris, Hayden G; Crossley, Kay M

2016-07-01

Patellofemoral pain is a frequent and troublesome complication following anterior cruciate ligament reconstruction (ACLR), irrespective of graft source. Yet, little is known about the factors associated with patellofemoral pain following hamstring-tendon ACLR. Retrospective analysis of potential patellofemoral pain predictors, and cross-sectional analysis of possible patellofemoral pain consequences. Potential predictors (pre-injury patellofemoral pain and activity level, concomitant patellofemoral cartilage damage and meniscectomy, age, sex, and surgical delay) and consequences (hopping performance, quality of life, kinesiophobia, and return to sport rates and attitudes) of patellofemoral pain 12 months following hamstring-tendon ACLR were assessed in 110 participants using univariate and multivariate analyses. Thirty-three participants (30%) had patellofemoral pain at 12 months post-ACLR. Older age at the time of ACLR was the only predictor of post-operative patellofemoral pain. Following ACLR, those with patellofemoral pain had a higher body mass index, and worse physical performance, quality of life, kinesiophobia and return to sport attitudes. Patellofemoral pain has a significant burden on individuals 12 months following hamstring-tendon ACLR. Clinicians need to be cognisant of patellofemoral pain, particularly in older individuals and those with a higher body mass index. The importance of considering psychological factors that are not typically addressed during ACLR rehabilitation, such as kinesiophobia, quality of life and return to sport attitudes is emphasised. Copyright © 2016. Published by Elsevier Ltd.

Influence of microclimatic ammonia levels on productive performance of different broilers’ breeds estimated with univariate and multivariate approaches

Science.gov (United States)

Soliman, Essam S.; Moawed, Sherif A.; Hassan, Rania A.

2017-01-01

Background and Aim: Birds litter contains unutilized nitrogen in the form of uric acid that is converted into ammonia; a fact that does not only affect poultry performance but also has a negative effect on people’s health around the farm and contributes in the environmental degradation. The influence of microclimatic ammonia emissions on Ross and Hubbard broilers reared in different housing systems at two consecutive seasons (fall and winter) was evaluated using a discriminant function analysis to differentiate between Ross and Hubbard breeds. Materials and Methods: A total number of 400 air samples were collected and analyzed for ammonia levels during the experimental period. Data were analyzed using univariate and multivariate statistical methods. Results: Ammonia levels were significantly higher (p0.05) were found between the two farms in body weight, body weight gain, feed intake, feed conversion ratio, and performance index (PI) of broilers. Body weight; weight gain and PI had increased values (pbroiler breed. Ammonia emissions were positively (although weekly) correlated with the ambient relative humidity (r=0.383; p0.05). Test of significance of discriminant function analysis did not show a classification based on the studied traits suggesting that they cannot been used as predictor variables. The percentage of correct classification was 52% and it was improved after deletion of highly correlated traits to 57%. Conclusion: The study revealed that broiler’s growth was negatively affected by increased microclimatic ammonia concentrations and recommended the analysis of broilers’ growth performance parameters data using multivariate discriminant function analysis. PMID:28919677

Forecasting electricity spot-prices using linear univariate time-series models

International Nuclear Information System (INIS)

Cuaresma, Jesus Crespo; Hlouskova, Jaroslava; Kossmeier, Stephan; Obersteiner, Michael

2004-01-01

This paper studies the forecasting abilities of a battery of univariate models on hourly electricity spot prices, using data from the Leipzig Power Exchange. The specifications studied include autoregressive models, autoregressive-moving average models and unobserved component models. The results show that specifications, where each hour of the day is modelled separately present uniformly better forecasting properties than specifications for the whole time-series, and that the inclusion of simple probabilistic processes for the arrival of extreme price events can lead to improvements in the forecasting abilities of univariate models for electricity spot prices. (Author)

Regression Is a Univariate General Linear Model Subsuming Other Parametric Methods as Special Cases.

Science.gov (United States)

Vidal, Sherry

Although the concept of the general linear model (GLM) has existed since the 1960s, other univariate analyses such as the t-test and the analysis of variance models have remained popular. The GLM produces an equation that minimizes the mean differences of independent variables as they are related to a dependent variable. From a computer printout…

Predictors of Persistent Axial Neck Pain After Cervical Laminoplasty.

Science.gov (United States)

Kimura, Atsushi; Shiraishi, Yasuyuki; Inoue, Hirokazu; Endo, Teruaki; Takeshita, Katsushi

2018-01-01

Retrospective analysis of prospective data. The aim of this study was to reveal baseline predictors of persistent postlaminoplasty neck pain. Axial neck pain is one of the most common complications after cervical laminoplasty; however, baseline predictors of persistent postlaminoplasty neck pain are unclear. We analyzed data from 156 patients who completed a 2-year follow-up after double-door laminoplasty for degenerative cervical myelopathy. Patients rated the average intensity of axial neck pain in the last month using an 11-point numerical rating scale preoperatively and at the 2-year follow-up. The dependent variable was the presence of moderate-to-severe neck pain (numerical rating scale ≥4) at the 2-year follow-up. The independent variables included patient characteristics, baseline radiological parameters, surgical variables, baseline axial neck pain intensity, and baseline functions, which were measured by the Japanese Orthopaedic Association score and the Short Form-36 survey (SF-36). Logistic regression analysis was performed to identify independent predictors of moderate-to-severe neck pain after laminoplasty. At the 2-year follow-up, 51 patients (32%) had moderate-to-severe neck pain, and 106 patients (68%) had no or mild pain. Univariate analysis revealed that the ratio of cervical anterolisthesis, ratio of current smoking, baseline neck pain intensity, and baseline SF-36 Mental Component Summary differed significantly between the groups. Multivariate logistic regression analysis showed that independent predictors of moderate-to-severe neck pain at the 2-year follow-up include the presence of anterolisthesis, current smoking, moderate-to-severe baseline neck pain, and lower SF-36 Mental Component Summary. The presence of anterolisthesis and moderate-to-severe baseline neck pain were also associated with significantly poorer physical function after surgery. The presence of anterolisthesis was associated not only with the highest odds ratio of

Prevalence and predictors of valvular heart disease in patients with systemic lupus erythematosus.

Science.gov (United States)

Vivero, Florencia; Gonzalez-Echavarri, Cristina; Ruiz-Estevez, Beatriz; Maderuelo, Irene; Ruiz-Irastorza, Guillermo

2016-12-01

We aimed to study the frequency, severity and predictors of valvular heart disease (VHD) in our lupus cohort. 211 patients were included. A transthoracic echocardiogram was used for this study. Significant valvular lesions were classified into two groups: valvular thickening and valvular dysfunction. Univariate logistic regression was performed in order to find associations with valvular thickening and dysfunction. Those variables with a p value ≤0.1 in the univariate analysis were subsequently included in multiple logistic regression models. Significant valve lesions were found in 53 patients (25%). The independent predictors of valvular thickening were the age at the time of the echocardiogram (OR 1.05, 95% CI 1.02-1.7), lymphopenia (OR 3.6, 95%CI 1.4-9.5), thrombocytopenia (OR 2.65, 95%CI 1.24-5.72), and anti-Sm antibodies (OR 3.28, 95%CI 1.44-7.33). The independent predictors of valvular dysfunction were age at the time of the echocardiogram (OR 1.045, 95%CI 1.009-1.083), thrombocytopenia (OR 5, 95%CI 1.66-14.86), hypertension (OR 6.2, 95%CI 2.1-18.4) and aPL (OR 6.2, 95%CI 2.1-18.4). Regarding the latter, the independent relation with valvular dysfunction was only seen for the double positivity aCL/LA, (OR 13.2, 95%CI 3.8-45.2, p<0.0001). Our study confirms the high prevalence of significant VHD in SLE patients. Clinical variables related with persistent inflammatory activity were associated with VHD. The association between VHD and aPL positivity was confirmed. Double-positive aCL/LA patients were most likely to suffer from valvular dysfunction. Copyright © 2016 Elsevier B.V. All rights reserved.

Predictors of condom use and refusal among the population of Free State province in South Africa.

Science.gov (United States)

Chandran, Thoovakkunon Moorkoth; Berkvens, Dirk; Chikobvu, Perpetual; Nöstlinger, Christiana; Colebunders, Robert; Williams, Brian Gerard; Speybroeck, Niko

2012-05-28

This study investigated the extent and predictors of condom use and condom refusal in the Free State province in South Africa. Through a household survey conducted in the Free Sate province of South Africa, 5,837 adults were interviewed. Univariate and multivariate survey logistic regressions and classification trees (CT) were used for analysing two response variables 'ever used condom' and 'ever refused condom'. Eighty-three per cent of the respondents had ever used condoms, of which 38% always used them; 61% used them during the last sexual intercourse and 9% had ever refused to use them. The univariate logistic regression models and CT analysis indicated that a strong predictor of condom use was its perceived need. In the CT analysis, this variable was followed in importance by 'knowledge of correct use of condom', condom availability, young age, being single and higher education. 'Perceived need' for condoms did not remain significant in the multivariate analysis after controlling for other variables. The strongest predictor of condom refusal, as shown by the CT, was shame associated with condoms followed by the presence of sexual risk behaviour, knowing one's HIV status, older age and lacking knowledge of condoms (i.e., ability to prevent sexually transmitted diseases and pregnancy, availability, correct and consistent use and existence of female condoms). In the multivariate logistic regression, age was not significant for condom refusal while affordability and perceived need were additional significant variables. The use of complementary modelling techniques such as CT in addition to logistic regressions adds to a better understanding of condom use and refusal. Further improvement in correct and consistent use of condoms will require targeted interventions. In addition to existing social marketing campaigns, tailored approaches should focus on establishing the perceived need for condom-use and improving skills for correct use. They should also incorporate

Predictors of condom use and refusal among the population of Free State province in South Africa

Directory of Open Access Journals (Sweden)

Chandran Thoovakkunon

2012-05-01

Full Text Available Abstract Background This study investigated the extent and predictors of condom use and condom refusal in the Free State province in South Africa. Methods Through a household survey conducted in the Free Sate province of South Africa, 5,837 adults were interviewed. Univariate and multivariate survey logistic regressions and classification trees (CT were used for analysing two response variables ‘ever used condom’ and ‘ever refused condom’. Results Eighty-three per cent of the respondents had ever used condoms, of which 38% always used them; 61% used them during the last sexual intercourse and 9% had ever refused to use them. The univariate logistic regression models and CT analysis indicated that a strong predictor of condom use was its perceived need. In the CT analysis, this variable was followed in importance by ‘knowledge of correct use of condom’, condom availability, young age, being single and higher education. ‘Perceived need’ for condoms did not remain significant in the multivariate analysis after controlling for other variables. The strongest predictor of condom refusal, as shown by the CT, was shame associated with condoms followed by the presence of sexual risk behaviour, knowing one’s HIV status, older age and lacking knowledge of condoms (i.e., ability to prevent sexually transmitted diseases and pregnancy, availability, correct and consistent use and existence of female condoms. In the multivariate logistic regression, age was not significant for condom refusal while affordability and perceived need were additional significant variables. Conclusions The use of complementary modelling techniques such as CT in addition to logistic regressions adds to a better understanding of condom use and refusal. Further improvement in correct and consistent use of condoms will require targeted interventions. In addition to existing social marketing campaigns, tailored approaches should focus on establishing the perceived need

Comparison of different Methods for Univariate Time Series Imputation in R

OpenAIRE

Moritz, Steffen; Sardá, Alexis; Bartz-Beielstein, Thomas; Zaefferer, Martin; Stork, Jörg

2015-01-01

Missing values in datasets are a well-known problem and there are quite a lot of R packages offering imputation functions. But while imputation in general is well covered within R, it is hard to find functions for imputation of univariate time series. The problem is, most standard imputation techniques can not be applied directly. Most algorithms rely on inter-attribute correlations, while univariate time series imputation needs to employ time dependencies. This paper provides an overview of ...

Clinical Predictors of Survival for Patients with Stage IV Cancer Referred to Radiation Oncology.

Directory of Open Access Journals (Sweden)

Johnny Kao

Full Text Available There is an urgent need for a robust, clinically useful predictive model for survival in a heterogeneous group of patients with metastatic cancer referred to radiation oncology.From May 2012 to August 2013, 143 consecutive patients with stage IV cancer were prospectively evaluated by a single radiation oncologist. We retrospectively analyzed the effect of 29 patient, laboratory and tumor-related prognostic factors on overall survival using univariate analysis. Variables that were statistically significant on univariate analysis were entered into a multivariable Cox regression to identify independent predictors of overall survival.The median overall survival was 5.5 months. Four prognostic factors significantly predicted survival on multivariable analysis including ECOG performance status (0-1 vs. 2 vs. 3-4, number of active tumors (1 to 5 vs. ≥ 6, albumin levels (≥ 3.4 vs. 2.4 to 3.3 vs. 31.4 months for very low risk patients compared to 14.5 months for low risk, 4.1 months for intermediate risk and 1.2 months for high risk (p < 0.001.These data suggest that a model that considers performance status, extent of disease, primary tumor site and serum albumin represents a simple model to accurately predict survival for patients with stage IV cancer who are potential candidates for radiation therapy.

Predictors of Nondiagnostic Ultrasound for Appendicitis.

Science.gov (United States)

Keller, Christine; Wang, Nancy E; Imler, Daniel L; Vasanawala, Shreyas S; Bruzoni, Matias; Quinn, James V

2017-03-01

Ionizing radiation and cost make ultrasound (US), when available, the first imaging study for the diagnosis of suspected pediatric appendicitis. US is less sensitive and specific than computed tomography (CT) or magnetic resonance imaging (MRI) scans, which are often performed after nondiagnostic US. We sought to determine predictors of nondiagnostic US in order to guide efficient ordering of imaging studies. A prospective cohort study of consecutive patients 4 to 30 years of age with suspected appendicitis took place at an emergency department with access to 24/7 US, MRI, and CT capabilities. Patients with US as their initial study were identified. Clinical (i.e., duration of illness, highest fever, and right lower quadrant pain) and demographic (i.e., age and sex) variables were collected. Body mass index (BMI) was calculated based on Centers for Disease Control and Prevention criteria; BMI >85th percentile was categorized as overweight. Patients were followed until day 7. Univariate and stepwise multivariate logistic regression analysis was performed. Over 3 months, 106 patients had US first for suspected appendicitis; 52 (49%) had nondiagnostic US results. Eighteen patients had appendicitis, and there were no missed cases after discharge. On univariate analysis, male sex, a yearly increase in age, and overweight BMI were associated with nondiagnostic US (p appendicitis, and it may be more efficient to consider alternatives to US first for these patients. Also, this information about the accuracy of US to diagnose suspected appendicitis may be useful to clinicians who wish to engage in shared decision-making with the parents or guardians of children regarding imaging options for children with acute abdominal pain. Copyright © 2016 Elsevier Inc. All rights reserved.

Sleep and academic performance in undergraduates: a multi-measure, multi-predictor approach.

Science.gov (United States)

Gomes, Ana Allen; Tavares, Jos; de Azevedo, Maria Helena P

2011-11-01

The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness/eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R(2)=0.14 and adjusted R(2)=0.14, F(5, 1234)= 40.99, p academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students.

Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis

Science.gov (United States)

Luo, Wen; Azen, Razia

2013-01-01

Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

A Meta-Analysis of the Predictors of Delinquency among Girls.

Science.gov (United States)

Hubbard, Dana Jones; Pratt, Travis C.

2002-01-01

Presents the results of a meta-analysis of the predictors of female delinquency. Finds that most of the strong predictors of female delinquency are the same as those for males, including history of antisocial behavior, antisocial attitudes, antisocial peers, and antisocial personality. School and family relationships and a history of…

Acute renal failure in pediatric patients: Etiology and predictors of outcome

Directory of Open Access Journals (Sweden)

Ghani Amal

2009-01-01

Full Text Available Acute renal failure (ARF is the acute loss of kidney function over hours or days, the etiology of which varies in different countries. The data on the etiology and outcome of ARF in Arab children is limited. Our objective was to define the causes and predictors of outcome of ARF in Kuwaiti children, and the variables determining their fitness for dialysis. A total of 32 children with ARF were evaluated regarding their demographic and clinical data, the cause of ARF and the co-morbidities. Data were analyzed to find the independent variables determining fitness for dia-lysis and outcome. Males comprised 62.5% of the study children; 46.9% of ARF cases were due to sepsis and 56.2% underwent renal replacement therapy (RRT. Univariate analysis showed that age, hemodynamic instability, use of vasopressors, multi-organ failure (MOF, and mechanical venti-lation contributed to fitness for dialysis. However, MOF was the only independent variable affecting fitness for dialysis. The overall mortality was 43.8%. Univariate analysis showed that age below 24-months, hemodynamic instability, use of vasopressors, fluid overload, need for mecha-nical ventilation, MOF and late referral to the nephrologist were associated with poor outcome. However, multivariate analysis documented MOF, and the time of nephrologists′ intervention as independent prognostic indicators. Our study suggests that sepsis was the major cause of pediatric ARF. RRT is the optimal treatment, and the only factor determining child′s fitness for dialysis is MOF.

FUNCTIONAL ABILITIES AS PREDICTORS OF PREADOSLESCENT STUDENTS’ ATHLETIC RESULTS OUTCOME

Directory of Open Access Journals (Sweden)

Miroljub Ivanović

2011-09-01

Full Text Available Aim of this research has been directed to the functional abilities relation testing (as predictors and athletic results (as criterion of students, who are VII and VIII grade of primary school (Χ= 13, 9 years; SD = 1, 17. The research has been conducted in Valjevo during November 2010. on the sample of 108 examinees. Variables’ sample has been assembled from 3 tests for functional abilities (maximal oxygen consumption, pulse frequency and vital lungs capacity evaluation and 4 athletic disciplines (high jump, long jump, shot put and 60 meters low start sprint from current physical education curriculum. Crombah-alfa coefficient values indicate to satisfactory reliability of applied instruments. In data processing canonical correlation analysis and multiple regression analysis have been used. Achieved canonical correlation analysis results showed that functional abilities set is statistically and significantly related to criterion variables set (R=.67, manifesting one canonical factor on the level p<.03. Achieved determination coefficient (R² = .43 indicates to functional abilities prognostic significance of explained variance 46% criterion. Using hierarchy regression model following statistically significant beta coefficient of functional abilities as partial predictors of athletics outcome have been determined: I for vital lungs capacity- high jump (β = .67, p < .01, II for vital lungs capacity- long jump (β = .55, p < .01, III for vital lungs capacity and pulse frequency- shot put (β =.-.34, p < .01; β =.42, p < .02 and IV for vital lungs capacity- 60 meters sprint (β = .-.39. Regression equation calculation of other applied functional abilities preadolescents’ predictor variables has not statistically and significantly contributed to univariance prediction of criterion variable variance

Predictors of Death in Contemporary Adult Patients With Eisenmenger Syndrome

DEFF Research Database (Denmark)

Kempny, Aleksander; Hjortshøj, Cristel Sørensen; Gu, Hong

2017-01-01

: In a multicenter approach, we identified adults with Eisenmenger syndrome under follow-up between 2000 and 2015. We examined survival and its association with clinical, electrocardiographic, echocardiographic, and laboratory parameters. RESULTS: We studied 1098 patients (median age, 34.4 years; range, 16.......1-84.4 years; 65.1% female; 31.9% with Down syndrome). The majority had a posttricuspid defect (n=643, 58.6%), followed by patients with a complex (n=315, 28.7%) and pretricuspid lesion (n=140, 12.7%). Over a median follow-up of 3.1 years (interquartile range, 1.4-5.9), allowing for 4361.6 patient......-years observation, 278 patients died and 6 underwent transplantation. Twelve parameters emerged as significant predictors of death on univariable analysis. On multivariable Cox regression analysis, only age (hazard ratio [HR], 1.41/10 years; 95% confidence interval [CI], 1.24-1.59; P

Moderation analysis with missing data in the predictors.

Science.gov (United States)

Zhang, Qian; Wang, Lijuan

2017-12-01

The most widely used statistical model for conducting moderation analysis is the moderated multiple regression (MMR) model. In MMR modeling, missing data could pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a nonlinear function of the involved variables. In this study, we consider a simple MMR model, where the effect of the focal predictor X on the outcome Y is moderated by a moderator U. The primary interest is to find ways of estimating and testing the moderation effect with the existence of missing data in X. We mainly focus on cases when X is missing completely at random (MCAR) and missing at random (MAR). Three methods are compared: (a) Normal-distribution-based maximum likelihood estimation (NML); (b) Normal-distribution-based multiple imputation (NMI); and (c) Bayesian estimation (BE). Via simulations, we found that NML and NMI could lead to biased estimates of moderation effects under MAR missingness mechanism. The BE method outperformed NMI and NML for MMR modeling with missing data in the focal predictor, missingness depending on the moderator and/or auxiliary variables, and correctly specified distributions for the focal predictor. In addition, more robust BE methods are needed in terms of the distribution mis-specification problem of the focal predictor. An empirical example was used to illustrate the applications of the methods with a simple sensitivity analysis. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Bentall operation in 375 patients: long-term results and predictors of death.

Science.gov (United States)

Varrica, Alessandro; Satriano, Angela; de Vincentiis, Carlo; Biondi, Andrea; Trimarchi, Santi; Ranucci, Marco; Menicanti, Lorenzo; Frigiola, Alessandro

2014-01-01

The Bentall operation is a 40-year-old standardized procedure for treating aortic valve diseases and aneurysms involving the aortic root. The study aim was to analyze the results and predictors of long-term outcome after the Bentall procedure for aortic root diseases. Between January 1990 and December 2007, a total of 375 patients (296 males, 79 females) underwent the Bentall operation at the authors' institution. Bicuspid aortic valve (BAV) was present in 91 patients, and Marfan syndrome in 13. Thirty-six patients were treated as emergencies, and 30 for acute dissection. A concomitant surgical procedure was performed in 78 patients. The operative procedure included both classic Bentall and button techniques. Follow up data were obtained from hospital and office records and from telephone contacts. Kaplan-Meier survival analysis and Cox regression analysis were performed to investigate the predictors of long-term outcome. The overall in-hospital mortality was 4.5%, and after elective operations was 2.3%. A 20-year long-term follow up included 32 late deaths, of which 14 were cardiac-related. Freedom from late all-cause mortality at 5, 10, and 15 years was 97.1%, 81.9%, and 53.9%, respectively. At univariate analysis, long-term mortality was associated with age, diabetes, BAV, NYHA class III/IV, emergency treatment, cardiopulmonary bypass time, and coronary artery bypass grafting. Independent predictors of long-term mortality were age (OR 1.16; CI: 1.08-1.23), emergency surgery (OR 28; CI: 4-192) and BAV (OR 3; CI: 1.3-6.9). The Bentall procedure is a safe and durable operation, with a very good early and long-term results and a low rate of reoperation. In the present series, age, BAV and emergency surgery were important independent predictors of mortality.

Pulmonary tuberculosis treatment regimen recommended by the Brazilian National Ministry of Health: predictors of treatment noncompliance in the city of Porto Alegre, Brazil.

Science.gov (United States)

Campani, Simone Teresinha Aloise; Moreira, José da Silva; Tietbohel, Carlos Nunes

2011-01-01

To determine the predictors of noncompliance with the pulmonary tuberculosis treatment regimen recommended by the Brazilian National Ministry of Health, in previously treatment-naïve patients with active tuberculosis treated in the city of Porto Alegre, Brazil. This was a case-control study involving six referral primary health care clinics for tuberculosis in Porto Alegre. We reviewed the medical charts of all previously treatment-naïve patients with active pulmonary tuberculosis who were noncompliant with the treatment between 2004 and 2006. Those were paired with other patients having similar characteristics and having been cured. We conducted univariate and multivariate analyses. Of the 2,098 patients included, 218 (10.4%) became noncompliant with the treatment. In the multivariate analysis, the factors most strongly associated with treatment noncompliance were being an alcoholic (with or without concomitant use of illicit drugs), being HIV-infected, not residing with family members, and having a low level of education. In the univariate analysis, treatment noncompliance was also significantly associated with being younger and with being non-White. Gender was not significantly associated with treatment noncompliance; nor was the occurrence of adverse effects of the drugs included in the regimen. In the population studied, being an alcoholic, being HIV-infected, and not residing with family members were the major predictors of noncompliance with treatment for pulmonary tuberculosis among previously treatment-naïve patients.

Predictors of Swimming Ability among Children and Adolescents in the United States

Directory of Open Access Journals (Sweden)

Jennifer Pharr

2018-02-01

Full Text Available Swimming is an important source of physical activity and a life skill to prevent drowning. However, little research has been conducted to understand predictors of swimming ability. The purpose of this study was to understand factors that predict swimming ability among children and adolescents in the United States (US. This was a cross-sectional survey conducted between February and April of 2017 across five geographically diverse cities. Participants were accessed through the Young Christian Men’s Association (YMCA and included parents of children aged 4–11 years old and adolescents aged 12–17 years old. Independent t-test, analysis of variance (ANOVA, and univariate and multivariate analyses were conducted. Several factors were significant (p ≤ 0.05 predictors of swimming ability and explained 53% of the variance in swimming ability. Variables that were positively associated with swimming ability included: ability of parent(s to swim, child/adolescent age, a best friend who enjoys swimming, water-safety knowledge, pool open all year, and encouragement to swim from parent(s. Variables that were negatively associated with swimming ability included: fear of drowning, being African American, and being female. Interventions and programs to improve the swimming ability of children and adolescents could be developed with these predictors in mind.

Predictors for long-term survival free from whole brain radiation therapy in patients treated with radiosurgery for limited brain metastases

Directory of Open Access Journals (Sweden)

Daniel eGorovets

2015-05-01

Full Text Available Purpose: To identify predictors for prolonged survival free from salvage whole brain radiation therapy (WBRT in patients with brain metastases treated with stereotactic radiosurgery (SRS as their initial radiotherapy approach. Material and Methods: Patients with brain metastases treated with SRS from 2001-2013 at our institution were identified. SRS without WBRT was typically offered to patients with 1-4 brain metastases, Karnofsky Performance Status ≥70, and life expectancy ≥3 mo. Three hundred and eight patients met inclusion criteria for analysis. Medical records were reviewed for patient, disease, and treatment information. Two comparison groups were identified: those with ≥1-yr WBRT-free survival (N=104, and those who died or required salvage WBRT within 3 mo of SRS (N=56. Differences between these groups were assessed by univariate and multivariate analyses.Results: Median survival for all patients was 11 mo. Among patients with ≥1-yr WBRT-free survival, median survival was 33 mo [12-107 mo] with only 21% requiring salvage WBRT. Factors significantly associated with prolonged WBRT-free survival on univariate analysis (p<0.05 included younger age, asymptomatic presentation, RTOG RPA class I, fewer brain metastases, surgical resection, breast primary, new or controlled primary, absence of extracranial metastatic disease, and oligometastatic disease burden (≤5 metastatic lesions. After controlling for covariates, asymptomatic presentation, breast primary, single brain metastasis, absence of extracranial metastases, and oligometastatic disease burden remained independent predictors for favorable WBRT-free survival.Conclusions: A subset of patients with brain metastases can achieve long-term survival after upfront SRS without the need for salvage WBRT. Predictors identified in this study can help select patients that might benefit most from a treatment strategy of SRS alone.

Predictors of in-hospital mortality after mitral valve surgery for post-myocardial infarction papillary muscle rupture.

Science.gov (United States)

Bouma, Wobbe; Wijdh-den Hamer, Inez J; Koene, Bart M; Kuijpers, Michiel; Natour, Ehsan; Erasmus, Michiel E; van der Horst, Iwan C C; Gorman, Joseph H; Gorman, Robert C; Mariani, Massimo A

2014-10-18

Papillary muscle rupture (PMR) is a rare, but often life-threatening mechanical complication of myocardial infarction (MI). Immediate surgical intervention is considered the optimal and most rational treatment for acute PMR, but carries high risks. At this point it is not entirely clear which patients are at highest risk. In this study we sought to determine in-hospital mortality and its predictors for patients who underwent mitral valve surgery for post-MI PMR. Between January 1990 and December 2012, 48 consecutive patients (mean age 64.9 ± 10.8 years) underwent mitral valve repair (n = 10) or replacement (n = 38) for post-MI PMR. Clinical data, echocardiographic data, catheterization data, and surgical reports were reviewed. Univariate and multivariate logistic regression analyses were performed to identify predictors of in-hospital mortality. Intraoperative mortality was 4.2% and in-hospital mortality was 25.0%. Univariate and multivariate logistic regression analyses revealed the logistic EuroSCORE and EuroSCORE II as independent predictors of in-hospital mortality. Receiver operating characteristics curves showed an optimal cutoff value of 40% for the logistic EuroSCORE (area under the curve 0.85, 95% CI 0.71-1.00, P optimal cutoff ≥ 40%), EuroSCORE II (optimal cutoff ≥ 25%), complete PMR, and intraoperative IABP requirement are strong independent predictors of in-hospital mortality in patients undergoing mitral valve surgery for post-MI PMR. These predictors may aid in surgical decision making and they may help improve the quality of informed consent.

Predictors of cerebral venous thrombosis and arterial ischemic stroke in young Asian women.

Science.gov (United States)

Wasay, Mohammad; Saadatnia, Mohammad; Venketasubramanian, Narayanaswamy; Kaul, Subhash; Menon, Bindu; Gunaratne, Padma; Malik, Abdul; Mehmood, Kauser; Ahmed, Shahzad; Awan, Safia; Mehndiratta, M M

2012-11-01

The management and outcome of cerebral venous thrombosis (CVT) may be different from that of arterial ischemic stroke (AIS). Clinically differentiating the 2 diseases on clinical grounds may be difficult. The main objective of this study was to identify predictors differentiating CVT from AIS in a large cohort of young Asian women, based on risk factors and investigations. Twelve centers in 8 Asian countries participated. Women aged 15-45 years were included if they had a diagnosis of first-ever symptomatic AIS or CVT confirmed by brain computed tomography scan or magnetic resonance imaging/magnetic resonance venography. Patients with head trauma, cerebral contusions, intracranial hemorrhage, and subarachnoid or subdural hemorrhage were excluded. Data, including demographic data, risk factor assessment, neuroimaging studies, blood tests, and cardiac studies, were collected by retrospective and then prospective chart review between January 2001 and July 2008. Outcome was based on the modified Rankin Scale (mRS) score at admission, discharge, and latest follow-up. A total of 958 patients (204 with CVT and 754 with AIS) were included in the study. Age under 36 years, anemia, pregnancy or postpartum state, and presence of hemorrhagic infarcts on computed tomography scan or magnetic resonance imaging were significant predictors of CVT on univariate analysis. Age over 36 years, diabetes, hypertension, dyslipidemia, recent myocardial infarction, electrocardiogram abnormalities, and blood glucose level >150 mg/dL were strong predictors of AIS. On multivariate analysis, postpartum state and hemorrhagic infarct were the strongest predictors of CVT (P Asian women, predictors of CVT differ from those for AIS. These findings could be useful in the early identification and diagnosis of patients with CVT. Copyright © 2012 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Pattern and predictors of neurological morbidities among childhood cerebral malaria survivors in central Sudan.

Science.gov (United States)

Mergani, Adil; Khamis, Ammar H; Fatih Hashim, E L; Gumma, Mohamed; Awadelseed, Bella; Elwali, Nasr Eldin M A; Haboor, Ali Babikir

2015-09-01

Cerebral malaria is considered a leading cause of neuro-disability in sub-Saharan Africa among children and about 25% of survivors have long-term neurological and cognitive deficits or epilepsy. Their development was reported to be associated with protracted seizures, deep and prolonged coma. The study was aimed to determine the discharge pattern and to identify potential and informative predictors of neurological sequelae at discharge, complicating childhood cerebral malaria in central Sudan. A cross-sectional prospective study was carried out during malaria transmission seasons from 2000 to 2004 in Wad Medani, Sinnar and Singa hospitals, central Sudan. Children suspected of having cerebral malaria were examined and diagnosed by a Pediatrician for clinical, laboratory findings and any neurological complications. Univariate and multiple regression model analysis were performed to evaluate the association of clinical and laboratory findings with occurrence of neurological complications using the SPSS. Out of 940 examined children, only 409 were diagnosed with cerebral malaria with a mean age of 6.1 ± 3.3 yr. The mortality rate associated with the study was 14.2% (58) and 18.2% (64) of survivors (351) had neurological sequelae. Abnormal posture, either decerebration or decortication, focal convulsion and coma duration of >48 h were significant predictors for surviving from cerebral malaria with a neurological sequelae in children from central Sudan by Univariate analysis. Multiple logistic regression model fitting these variables, revealed 39.6% sensitivity for prediction of childhood cerebral malaria survivors with neurological sequelae (R² = 0.396; p=0.001). Neurological sequelae are common due to childhood cerebral malaria in central Sudan. Their prediction at admission, clinical presentation and laboratory findings may guide clinical intervention and proper management that may decrease morbidity and improve CM consequences.

Predictors and prognosis of patients with advanced stage small hepatocellular carcinoma after hepatectomy

Directory of Open Access Journals (Sweden)

Wen-ping LV

2013-01-01

Full Text Available Objective 　To investigate the clinical predictors and prognosis of the patients with advanced stage small hepatocellular carcinoma (SHCC after hepatectomy. Methods 　A total of 110 patients with SHCC admitted to the General Hospital of PLA and undergone hepatectomy from Jan. 1995 to Dec. 2009 were included in present retrospective study. Survival analysis was performed by Log-rank test and Kaplan-Meier. The association of SHCC and nine routine clinical parameters was analyzed by the univariate and multivariate logistic regression analysis. Results 　Of the 110 patients with SHCC, 31 (28.2% were SHCC in advanced stage, and the 1, 3, 5 year survival rates were 78.6%, 61.6% and 38.5%, respectively, with a median survival time of 48.8 months (95% CI 29.2-68.4 months. Seventy-nine of the 110 patients (71.8% were suffering form early stage SHCC, and the 1, 3, 5 year survival rates were 98.7%, 83.8% and 74.8%, respectively, with a median survival time of 98.0 months (95%CI 73.8-122.2 months. The survival rate was obviously higher in the patients with early stage SHCC than in those with advanced stage SHCC (χ2=13.29, P=0.0003. Multivariate analysis showed that positive AFP was a potential significant predictor of SHCC in advanced stage (RR=14.45; 95%CI 4.05-51.64, P<0.001. Conclusion 　The SHCC in advanced stage signifies an ominous prognosis. Positive AFP is a potential significant predictor for advanced stage SHCC.

Predictors for half-year outcome of impairment in daily life for back pain patients referred for physiotherapy: a prospective observational study.

Directory of Open Access Journals (Sweden)

Sven Karstens

Full Text Available BACKGROUND AND OBJECTIVE: From observational studies, there is only sparse information available on the predictors of development of impairment in daily life for patients receiving physiotherapy. Therefore, our aim was to identify factors which predict impairment in daily life for patients with back pain 6 months after receiving physiotherapy. METHODS: We conducted a prospective cohort study with 6-month follow-up. Patients were enrolled for treatment in private physiotherapy practices. Patients with a first physiotherapy referral because of thoracic or low back pain, aged 18 to 65 years were included. Primary outcome impairment was measured utilising the 16-item version of the Musculoskeletal Function Assessment Questionnaire. Therapy was documented on a standardized form. Baseline scores for impairment in daily life, symptom characteristics, sociodemographic and psychosocial factors, physical activity, nicotine consumption, intake of analgesics, comorbidity and delivered primary therapy approach were investigated as possible predictors. Univariate and multiple linear regression analyses were performed. RESULTS: A total of 792 patients participated in the study (59% female, mean age 44.4 (SD 11.4, with 6-month follow-up results available from 391 patients. In univariate analysis 17 variables reached significance. In multiple linear regression identified predictors were: impairment in daily life before therapy, mental disorders, duration of the complaints, self-prognosis on work ability, rheumatoid arthritis, age, form of stress at work and physical activity. The variables explain 34% of variance (adjusted R(2, p<0.001. CONCLUSIONS: With minimal information available from observational studies on the predictors of development of back problems for physiotherapy patients, this study adds new knowledge for forming appropriate referral guidelines. Impairment in daily life before therapy, mental disorder as comorbidity and the duration of the

Combinatorial bounds on the α-divergence of univariate mixture models

KAUST Repository

Nielsen, Frank; Sun, Ke

2017-01-01

We derive lower- and upper-bounds of α-divergence between univariate mixture models with components in the exponential family. Three pairs of bounds are presented in order with increasing quality and increasing computational cost. They are verified

When Does Neoadjuvant Chemotherapy Really Avoid Radiotherapy? Clinical Predictors of Adjuvant Radiotherapy in Cervical Cancer.

Science.gov (United States)

Papadia, Andrea; Bellati, Filippo; Bogani, Giorgio; Ditto, Antonino; Martinelli, Fabio; Lorusso, Domenica; Donfrancesco, Cristina; Gasparri, Maria Luisa; Raspagliesi, Francesco

2015-12-01

The aim of this study was to identify clinical variables that may predict the need for adjuvant radiotherapy after neoadjuvant chemotherapy (NACT) and radical surgery in locally advanced cervical cancer patients. A retrospective series of cervical cancer patients with International Federation of Gynecology and Obstetrics (FIGO) stages IB2-IIB treated with NACT followed by radical surgery was analyzed. Clinical predictors of persistence of intermediate- and/or high-risk factors at final pathological analysis were investigated. Statistical analysis was performed using univariate and multivariate analysis and using a model based on artificial intelligence known as artificial neuronal network (ANN) analysis. Overall, 101 patients were available for the analyses. Fifty-two (51 %) patients were considered at high risk secondary to parametrial, resection margin and/or lymph node involvement. When disease was confined to the cervix, four (4 %) patients were considered at intermediate risk. At univariate analysis, FIGO grade 3, stage IIB disease at diagnosis and the presence of enlarged nodes before NACT predicted the presence of intermediate- and/or high-risk factors at final pathological analysis. At multivariate analysis, only FIGO grade 3 and tumor diameter maintained statistical significance. The specificity of ANN models in evaluating predictive variables was slightly superior to conventional multivariable models. FIGO grade, stage, tumor diameter, and histology are associated with persistence of pathological intermediate- and/or high-risk factors after NACT and radical surgery. This information is useful in counseling patients at the time of treatment planning with regard to the probability of being subjected to pelvic radiotherapy after completion of the initially planned treatment.

Edmondson-Steiner grade: A crucial predictor of recurrence and survival in hepatocellular carcinoma without microvascular invasio.

Science.gov (United States)

Zhou, Li; Rui, Jing-An; Zhou, Wei-Xun; Wang, Shao-Bin; Chen, Shu-Guang; Qu, Qiang

2017-07-01

Microvascular invasion (MVI), an important pathologic parameter, has been proven to be a powerful predictor of long-term prognosis in hepatocellular carcinoma (HCC). However, prognostic factors in HCC without MVI remain unknown. The present study aimed to identify the risk factors of recurrence and poor post-resectional survival in this type of HCC. A total of 109 patients with MVI-absent HCC underwent radical hepatectomy were enrolled. The influence of clinicopathologic variables on recurrence and patient survival was assessed using univariate and multivariate analyses. Chi-square test found that Edmondson-Steiner grade and satellite nodule were significantly associated with recurrence, while the former was the single marker for early recurrence. Stepwise logistic regression analysis demonstrated the independent predictive role of Edmondson-Steiner grade for recurrence. On the other hand, Edmondson-Steiner grade, serum AFP level and satellite nodule were significant for overall and disease-free survival in univariate analysis, whereas tumor size was linked to disease-free survival. Of the variables, Edmondson-Steiner grade, serum AFP level and satellite nodule were independent indicators. Edmondson-Steiner grade, a histological classification, carries robust prognostic implications for all the endpoints for prognosis, thus being potential to be a crucial prognosticator in HCC without MVI. Copyright © 2017 Elsevier GmbH. All rights reserved.

A Study of Clinical Predictors Associated With Intrinsic Sphincter Deficiency in Women With Stress Urinary Incontinence

Directory of Open Access Journals (Sweden)

Kyung Kgi Park

2017-06-01

Full Text Available Purpose Recently, intrinsic sphincter deficiency (ISD has been identified as one important factor in the outcome of stress urinary incontinence (SUI related surgery. Clinical factors that can predict ISD are uncommon. The aim of this study was to determine predictive clinical factors for ISD in female patients with SUI. Methods The patients were classified into 3 groups according to the value of Valsalva leak point pressure (VLPP>90 cm H2O (anatomical incontinence, AI, between 61 and 90 cm H2O (equivocal, EV, and <60 cm H2O (ISD. All groups underwent a full examination, history evaluation, physical examination, uroflowmetry, and complete urodynamic study. Univariate analysis was performed by chi-square or t-test for categorical variables, respectively. A multivariate study was performed by Pearson correlation analysis in order to get clinical predictors of VLPP<60 cm H2O. Statistical significance was set at P<0.05. Results There were 3 groups with a total of 189 patients: 56 patients (AI, 29.7%, 64 patients (EV, 33.8%, and 69 patients (ISD, 36.5%. The univariate analysis revealed a significant difference associated with maximal urethral closing pressure (P=0.03 and Stamey classification (P=0.006 between ISD and AI. The more severe the urinary symptom grade, the higher the frequency of ISD. However, the multivariate analysis showed the independent predictor of ISD is only present in grades II and III symptoms in the Stamey classification (P=0.001. Conclusions It was found that the more severe the symptoms of urinary incontinence, the higher the possibility of ISD. In other words, the degree of urinary incontinence was found to be one relevant clinical factor in predicting ISD. This finding may help in evaluating and identifying the appropriate surgical technique for EV. Currently, absolute cutoff value to diagnose ISD has not yet been determined. More research is needed to identify clinical factors that can predict ISD.

A comparison between univariate probabilistic and multivariate (logistic regression) methods for landslide susceptibility analysis: the example of the Febbraro valley (Northern Alps, Italy)

Science.gov (United States)

Rossi, M.; Apuani, T.; Felletti, F.

2009-04-01

The aim of this paper is to compare the results of two statistical methods for landslide susceptibility analysis: 1) univariate probabilistic method based on landslide susceptibility index, 2) multivariate method (logistic regression). The study area is the Febbraro valley, located in the central Italian Alps, where different types of metamorphic rocks croup out. On the eastern part of the studied basin a quaternary cover represented by colluvial and secondarily, by glacial deposits, is dominant. In this study 110 earth flows, mainly located toward NE portion of the catchment, were analyzed. They involve only the colluvial deposits and their extension mainly ranges from 36 to 3173 m2. Both statistical methods require to establish a spatial database, in which each landslide is described by several parameters that can be assigned using a main scarp central point of landslide. The spatial database is constructed using a Geographical Information System (GIS). Each landslide is described by several parameters corresponding to the value of main scarp central point of the landslide. Based on bibliographic review a total of 15 predisposing factors were utilized. The width of the intervals, in which the maps of the predisposing factors have to be reclassified, has been defined assuming constant intervals to: elevation (100 m), slope (5 °), solar radiation (0.1 MJ/cm2/year), profile curvature (1.2 1/m), tangential curvature (2.2 1/m), drainage density (0.5), lineament density (0.00126). For the other parameters have been used the results of the probability-probability plots analysis and the statistical indexes of landslides site. In particular slope length (0 ÷ 2, 2 ÷ 5, 5 ÷ 10, 10 ÷ 20, 20 ÷ 35, 35 ÷ 260), accumulation flow (0 ÷ 1, 1 ÷ 2, 2 ÷ 5, 5 ÷ 12, 12 ÷ 60, 60 ÷27265), Topographic Wetness Index 0 ÷ 0.74, 0.74 ÷ 1.94, 1.94 ÷ 2.62, 2.62 ÷ 3.48, 3.48 ÷ 6,00, 6.00 ÷ 9.44), Stream Power Index (0 ÷ 0.64, 0.64 ÷ 1.28, 1.28 ÷ 1.81, 1.81 ÷ 4.20, 4.20 ÷ 9

Comparison of univariate and multivariate calibration for the determination of micronutrients in pellets of plant materials by laser induced breakdown spectrometry

International Nuclear Information System (INIS)

Batista Braga, Jez Willian; Trevizan, Lilian Cristina; Nunes, Lidiane Cristina; Aparecida Rufini, Iolanda; Santos, Dario; Krug, Francisco Jose

2010-01-01

The application of laser induced breakdown spectrometry (LIBS) aiming the direct analysis of plant materials is a great challenge that still needs efforts for its development and validation. In this way, a series of experimental approaches has been carried out in order to show that LIBS can be used as an alternative method to wet acid digestions based methods for analysis of agricultural and environmental samples. The large amount of information provided by LIBS spectra for these complex samples increases the difficulties for selecting the most appropriated wavelengths for each analyte. Some applications have suggested that improvements in both accuracy and precision can be achieved by the application of multivariate calibration in LIBS data when compared to the univariate regression developed with line emission intensities. In the present work, the performance of univariate and multivariate calibration, based on partial least squares regression (PLSR), was compared for analysis of pellets of plant materials made from an appropriate mixture of cryogenically ground samples with cellulose as the binding agent. The development of a specific PLSR model for each analyte and the selection of spectral regions containing only lines of the analyte of interest were the best conditions for the analysis. In this particular application, these models showed a similar performance, but PLSR seemed to be more robust due to a lower occurrence of outliers in comparison to the univariate method. Data suggests that efforts dealing with sample presentation and fitness of standards for LIBS analysis must be done in order to fulfill the boundary conditions for matrix independent development and validation.

Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss

Directory of Open Access Journals (Sweden)

Ryoko Sawamoto

2016-01-01

Full Text Available Objective: To investigate predictors of dropout from a group cognitive behavioral therapy (CBT intervention for overweight or obese women. Methods: 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. Results: 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Conclusion: Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women.

Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss.

Science.gov (United States)

Sawamoto, Ryoko; Nozaki, Takehiro; Furukawa, Tomokazu; Tanahashi, Tokusei; Morita, Chihiro; Hata, Tomokazu; Komaki, Gen; Sudo, Nobuyuki

2016-01-01

To investigate predictors of dropout from a group cognitive behavioral therapy (CBT) intervention for overweight or obese women. 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude) were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women. © 2016 S. Karger GmbH, Freiburg.

Acceleration techniques in the univariate Lipschitz global optimization

Science.gov (United States)

Sergeyev, Yaroslav D.; Kvasov, Dmitri E.; Mukhametzhanov, Marat S.; De Franco, Angela

2016-10-01

Univariate box-constrained Lipschitz global optimization problems are considered in this contribution. Geometric and information statistical approaches are presented. The novel powerful local tuning and local improvement techniques are described in the contribution as well as the traditional ways to estimate the Lipschitz constant. The advantages of the presented local tuning and local improvement techniques are demonstrated using the operational characteristics approach for comparing deterministic global optimization algorithms on the class of 100 widely used test functions.

Diabetes Mellitus and Glucose as Predictors of Mortality in Primary Coronary Percutaneous Intervention

Directory of Open Access Journals (Sweden)

Renato Budzyn David

2014-10-01

Full Text Available Background: Diabetes mellitus and admission blood glucose are important risk factors for mortality in ST segment elevation myocardial infarction patients, but their relative and individual role remains on debate. Objective: To analyze the influence of diabetes mellitus and admission blood glucose on the mortality of ST segment elevation myocardial infarction patients submitted to primary coronary percutaneous intervention. Methods: Prospective cohort study including every ST segment elevation myocardial infarction patient submitted to primary coronary percutaneous intervention in a tertiary cardiology center from December 2010 to May 2012. We collected clinical, angiographic and laboratory data during hospital stay, and performed a clinical follow-up 30 days after the ST segment elevation myocardial infarction. We adjusted the multivariate analysis of the studied risk factors using the variables from the GRACE score. Results: Among the 740 patients included, reported diabetes mellitus prevalence was 18%. On the univariate analysis, both diabetes mellitus and admission blood glucose were predictors of death in 30 days. However, after adjusting for potential confounders in the multivariate analysis, the diabetes mellitus relative risk was no longer significant (relative risk: 2.41, 95% confidence interval: 0.76 - 7.59; p-value: 0.13, whereas admission blood glucose remained and independent predictor of death in 30 days (relative risk: 1.05, 95% confidence interval: 1.02 - 1.09; p-value ≤ 0.01. Conclusion: In ST segment elevation myocardial infarction patients submitted to primary coronary percutaneous intervention, the admission blood glucose was a more accurate and robust independent predictor of death than the previous diagnosis of diabetes. This reinforces the important role of inflammation on the outcomes of this group of patients.

Predictors of hope among women with breast cancer during chemotherapy

Directory of Open Access Journals (Sweden)

Alessandra Cristina Sartore Balsanelli

Full Text Available Abstract OBJECTIVE Identifying the predictors of hope in patients with breast cancer during chemotherapy treatment. METHOD A prospective longitudinal study. The sample was composed of 122 women who responded to the instruments of hope, anxiety and depression, coping, fatigue, religiosity and self-esteem in the first and last cycle of chemotherapy. These variables were used in adjusting the logistic regression model that characterized multivariate statistics, allowing identification of predictor variables. RESULT The increase of hope at the end of chemotherapy treatment was statistically significant (p = 0.012. The delay in undergoing treatment from the onset of breast cancer symptoms, Karnofsky Performance Status, depression, self-esteem and pain were characterized as factors being associated to hope by univariate analysis. Among the variables analyzed, pain was the only predicting factor of hope. CONCLUSION Pain was the predicting factor in this sample. Hope increased during treatment and revealed the following associated factors: Karnofsky Performance Status, delay in starting the treatment, depression, self-esteem and pain. This study brought forth a multidisciplinary contribution, allowing for understanding the factors that can influence hope and presenting support to nursing care. The data evidenced conditions of improvement or worsening of hope, which requires interdisciplinary attention in Oncology.

Clinical predictors of hemorrhagic transformation in non lacunar ischemic stroke

Directory of Open Access Journals (Sweden)

Natalia R. Balian

2017-04-01

Full Text Available Hemorrhagic transformation is a complex phenomenon where brain tissue bleeds, which could be associated or not to an increase in the neurological deficit after the acute ischemic stroke. The aim of our study was to evaluate clinical predictors of hemorrhagic transformation in patients with non-lacunar ischemic stroke. We performed a prospective analysis of the clinical records and images of patients with non-lacunar ischemic stroke. Demographics, vascular risk factors, previous medications and the information of the event in patients with and without hemorrhagic transformation were here compared. We included in this study 747 patients with non-lacunar stroke, the mean age was 77 ± 11 years and 61% were females. In the univariate analysis, the age, a history of hypertension, atrial fibrillation, chronic kidney disease and the previous use of oral anticoagulation resulted statistically significant. In the multivariate analysis of logistic regression adjusted by age and vascular risk factors: the age > 80 years (OR 3.6, CI 95% 1.8-7.6, the pulse pressure > 60 mmHg at admission (OR 5.3, CI 95% 3.2-9.1, the chronic kidney disease (OR 3, CI 95% 2.5-3.8 and the presence of previous atrial fibrillation (OR 3.5, CI 95% 2.1-6.1 were associated with and increased risk of hemorrhagic transformation. The predictors of hemorrhagic transformation in our cohort showed a relationship with severe vascular illness. The identification of these patients could influence therapeutic decisions that could increase the risk of hemorrhagic transformation

Personality Traits as Prospective Predictors of Suicide Attempts

Science.gov (United States)

Yen, Shirley; Shea, M. Tracie; Sanislow, Charles A.; Skodol, Andrew E.; Grilo, Carlos M.; Edelen, Maria Orlando; Stout, Robert L.; Morey, Leslie C.; Zanarini, Mary C.; Markowitz, John C.; McGlashan, Thomas H.; Daversa, Maria T.; Gunderson, John G.

2009-01-01

OBJECTIVE To examine higher order personality factors of negative affectivity (NA) and disinhibition (DIS), as well as lower order facets of impulsivity, as prospective predictors of suicide attempts in a predominantly personality disordered (PD) sample. METHOD Data were analyzed from 701 participants of the Collaborative Longitudinal Personality Disorders Study (CLPS) with available follow-up data for up to 7 years. Cox proportional hazards regression analyses was used to examine NA and DIS, and facets of impulsivity (e.g., urgency, lack of perseverance, lack of premeditation, and sensation seeking), as prospective predictors of suicide attempts. RESULTS NA, DIS, and all facets of impulsivity except for sensation seeking were significant in univariate analyses. In multivariate models which included sex, childhood sexual abuse (CSA), course of major depressive disorder (MDD) and substance use disorders (SUD), only NA and lack of premeditation remained significant in predicting suicide attempts. Disinhibition and the remaining impulsivity facets were not significant. CONCLUSION Negative affectivity emerged as a stronger and more robust predictor of suicide attempts than disinhibition and impulsivity, and warrants greater attention in suicide risk assessment. Distinguishing between facets of impulsivity is important for clinical risk assessment. PMID:19298413

Univariate decision tree induction using maximum margin classification

OpenAIRE

Yıldız, Olcay Taner

2012-01-01

In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin tree where, for each continuous attribute, the best split is found using convex optimization. Our simulation results on 47 data sets show that the novel margin tree classifier performs at least as good as C4.5 and linear discriminant tree (LDT) with a similar time complexity. F...

Using Dominance Analysis to Determine Predictor Importance in Logistic Regression

Science.gov (United States)

Azen, Razia; Traxel, Nicole

2009-01-01

This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic regression R[superscript 2] analogues were determined and measures were selected that can be used to perform dominance analysis in logistic regression. A…

Second to fourth digit ratio: a predictor of adult lung function

Directory of Open Access Journals (Sweden)

I-Nae Park

2014-02-01

Full Text Available Sex and sex hormones play a major role in lung physiology. It has been proposed that the ratio of the second to fourth digits (digit ratio is correlated with fetal sex hormones. We therefore hypothesized that digit ratio might help predict lung function. We investigated the relationship between digit ratio and pulmonary function test (PFT fi ndings. A total of 245 South Korean patients (162 male, 83 female aged from 34 to 90 years who were hospitalized for urological surgery were prospectively enrolled. Before administering the PFTs, the lengths of the second and fourth digits of the right hand were measured by a single investigator using a digital Vernier caliper. In males (n = 162, univariate and multivariate analysis using linear regression models showed that digit ratio was a signifi cant predictive factor of forced vital capacity (FVC and forced expiratory volume in 1 second (FEV1 (FVC: r = 0.156, P = 0.047; FEV1: r = 0.160, P = 0.042. In male ever-smokers (n = 69, lung functions (FVC and FEV1 were correlated with smoking exposure rather than digit ratio. In female never-smokers (n = 83, lung functions (FEV1 and FEV1/FVC ratio were positively correlated with digit ratio on univariate analysis (FEV1: r = 0.242, P = 0.027; FEV1/FVC ratio: r = 0.245, P = 0.026. Patients with lower digit ratios tend to have decreased lung function. These results suggest that digit ratio is a predictor of airway function.

Body mass index and buttock circumference are independent predictors of disintegration failure in extracorporeal shock wave lithotripsy for ureteral calculi.

Science.gov (United States)

Yang, Teng-Kai; Yang, Hung-Ju; Lee, Liang-Min; Liao, Chun-Hou

2013-07-01

Effective stone disintegration by extracorporeal shockwave lithotripsy (ESWL) may depend on patient- and stone-related factors. We investigated predictors of disintegration failure in ESWL for a solitary ureteral calculus. From July 2008 to May 2010, 203 patients who underwent ESWL for a solitary ureteral calculus were enrolled. Clinical and radiologic data were collected, and factors related to ESWL failure were analyzed. Fifty-two patients (25.6%) showed ESWL failure, with a mean follow-up of 41 days. Forty patients (19.7%) required retreatment, including 12 who underwent repeat ESWL and 28 who underwent curative ureteroscopy. Patients with ESWL failure had significantly higher body weight, body mass index (BMI), and buttock circumference (BC) than patients for whom ESWL was successful. Univariate analysis showed that stone burden (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.03-1.06) and BC (OR, 1.06; 95% CI, 1.01-1.11) were predictors of ESWL failure, while BMI was a potential predictor with borderline significance (OR, 1.09; 95% CI, 0.99-1.20). Multivariate analysis showed that stone burden (OR, 1.04; 95% CI, 1.03-1.06) was a significant predictor for all patients. On stratifying patients according to the level of ureteral calculi, BC was found to be an independent predictor (OR, 1.35; 95% CI, 1.02-1.80) for ESWL failure for middle/lower ureteral calculi and BMI (OR, 1.47; 95% CI, 1.13-1.91) for upper ureteral calculi. Stone burden is the main predictor of ESWL failure for all patients with ureteral calculi. BC and BMI are independent predictors for ESWL failure for middle/lower and upper ureteral calculi, respectively. Copyright © 2012. Published by Elsevier B.V.

The value of reproductive tract scoring as a predictor of fertility and production outcomes in beef heifers.

Science.gov (United States)

Holm, D E; Thompson, P N; Irons, P C

2009-06-01

In this study, 272 beef heifers were studied from just before their first breeding season (October 15, 2003), through their second breeding season, and until just after they had weaned their first calves in March, 2005. This study was performed concurrently with another study testing the economic effects of an estrous synchronization protocol using PG. Reproductive tract scoring (RTS) by rectal palpation was performed on the group of heifers 1 d before the onset of their first breeding season. The effect of RTS on several fertility and production outcomes was tested, and the association of RTS with the outcomes was compared with that of other input variables such as BW, age, BCS, and Kleiber ratio using multiple or univariable linear, logistic, or Cox regression. Area under the curve for receiver operating characteristic analysis was used to compare the ability of different input variables to predict pregnancy outcome. After adjustment for BW and age, RTS was positively associated with pregnancy rate to the 50-d AI season (P Reproductive tract scoring was a better predictor of fertility than was Kleiber ratio and similar in its prediction of calf weaning weight. It was concluded from this study that RTS is a predictor of heifer fertility, compares well with other traits used as a predictor of production outcomes, and is likely to be a good predictor of lifetime production of the cow.

Predictors of monoterpene exposure in the Danish furniture industry.

Science.gov (United States)

Hagström, Katja; Jacobsen, Gitte; Sigsgaard, Torben; Schaumburg, Inger; Erlandsen, Mogens; Schlunssen, Vivi

2012-04-01

Individuals who work with pine in the furniture industry may be exposed to monoterpenes, the most abundant of which are α-pinene, β-pinene, and Δ(3)-carene. Monoterpenes are suspected to cause dermatitis and to harm the respiratory system. An understanding of the predictors of monoterpene exposure is therefore important in preventing these adverse effects. These predictors may include general characteristics of the work environment and specific work operations. We sought to assess the extent to which workers are exposed to monoterpenes and to identify possible predictors of monoterpene exposure in the pine furniture industry in Denmark. Passive measurements of the levels of selected monoterpenes (α-pinene, β-pinene, and Δ(3)-carene) were performed on 161 subjects from 17 pine furniture factories in Viborg County, Denmark; one sample was acquired from each worker. Additionally, wood dust samples were collected from 145 workers. Data on potential predictors of exposure were acquired over the course of the day on which the exposure measurements were recorded and could be assigned to one of four hierarchic ordered levels: worker, machine, department, and factory. In addition to univariate analyses, a mixed model was used to account for imbalances within the data and random variation with each of the hierarchically ordered levels. The geometric mean (GM) monoterpene content observed over the 161 measurements was 7.8 mg m(-3) [geometric standard deviation (GSD): 2.4]; the GM wood dust level over 145 measurements was 0.58 mg m(-3) (GSD: 1.49). None of the measured samples exceeded the occupational exposure limit for terpenes in Denmark (25 ppm, 150 mg m(-3)). In the univariate analyses, half of the predictors tested were found to be significant; the multivariate model indicated that only three of the potential predictors were significant. These were the recirculation of air in rooms used for the processing of wood (a factory level predictor), the presence of a

Predictors of posttreatment drinking outcomes in patients with alcohol dependence.

Science.gov (United States)

Flórez, Gerardo; Saiz, Pilar A; García-Portilla, Paz; De Cos, Francisco J; Dapía, Sonia; Alvarez, Sandra; Nogueiras, Luis; Bobes, Julio

2015-01-01

This cohort study examined how predictors of alcohol dependence treatment outcomes work together over time by comparing pretreatment and posttreatment predictors. A sample of 274 alcohol-dependent patients was recruited and assessed at baseline, 6 months after treatment initiation (end of the active intervention phase), and 18 months after treatment initiation (end of the 12-month research follow-up phase). At each assessment point, the participants completed a battery of standardized tests [European Addiction Severity Index (EuropASI), Obsessive Compulsive Drinking Scale (OCDS), Alcohol Timeline Followback (TLFB), Fagerström, and International Personality Disorder Examination (IPDE)] that measured symptom severity and consequences; biological markers of alcohol consumption were also tested at each assessment point. A sequential strategy with univariate and multivariate analyses was used to identify how pretreatment and posttreatment predictors influence outcomes up to 1 year after treatment. Pretreatment variables had less predictive power than posttreatment ones. OCDS scores and biological markers of alcohol consumption were the most significant variables for the prediction of posttreatment outcomes. Prior pharmacotherapy treatment and relapse prevention interventions were also associated with posttreatment outcomes. The findings highlight the positive impact of pharmacotherapy during the first 6 months after treatment initiation and of relapse prevention during the first year after treatment and how posttreatment predictors are more important than pretreatment predictors.

Clinical features and predictors of outcome in acute hepatitis A and hepatitis E virus hepatitis on cirrhosis.

Science.gov (United States)

Radha Krishna, Yellapu; Saraswat, Vivek Anand; Das, Khaunish; Himanshu, Goel; Yachha, Surender Kumar; Aggarwal, Rakesh; Choudhuri, Gour

2009-03-01

45 (34%), spontaneous bacterial peritonitis in 27 (20.5%), UGI bleeding in 15(11%) and hyponatraemia in 50 (41.3%). On univariate analysis, ascites, hepatic encephalopathy, renal failure, GI bleeding, total bilirubin, hyponatraemia and coagulopathy were significant predictors of mortality. Multivariate analysis revealed grades 3 and 4 HE [odds ratio (OR 32.1)], hyponatraemia (OR 9.2) and renal failure (OR 16.8) as significant predictors of 3-month mortality and a prognostic model using these predictors was constructed. Areas under the curve for the present predicted prognostic model, MELD, and CTP were 0.952, 0.941 and 0.636 respectively. ACLF due to hepatitis A or E super infection results in significant short-term mortality. The predictors of ominous outcome include grades 3 and 4 encephalopathy, hyponatraemia and renal failure. Present prognostic model and MELD scoring system were better predictors of 3-month outcome than CTP score in these patients. Early recognition of those with dismal prognosis may permit timely use of liver replacement/supportive therapies.

Predictors of 30-day readmission following pancreatic surgery: A retrospective review.

Science.gov (United States)

Amodu, Leo I; Alexis, Jamil; Soleiman, Aron; Akerman, Meredith; Addison, Poppy; Iurcotta, Toni; Rilo, Horacio L Rodriguez

2018-04-22

Pancreatectomies have been identified as procedures with an increased risk of readmission. In surgical patients, readmissions within 30 days of discharge are usually procedure-related. We sought to determine predictors of 30-day readmission following pancreatic resections in a large healthcare system. We retrospectively collected information from the records of 383 patients who underwent pancreatic resections from 2004-2013. To find the predictors of readmission in the 30 days after discharge, we performed a univariate screen of possible variables using the Fisher's exact test for categorical variables and the Mann-Whitney U test for continuous variables. Multivariate analysis was used to determine the independent factors. Fifty-eight (15.1%) patients were readmitted within 30 days of discharge. Of the patients readmitted, the most common diagnoses at readmission were sepsis (17.2%), and dehydration (8.6%). Multivariate logistic regression found that the development of intra-abdominal fluid collections (OR = 5.32, P readmission within 30 days of discharge. Our data demonstrate that factors predictive of 30-day readmission are a combination of patient characteristics and the development of post-operative complications. Targeted interventions may be used to reduce the risk of readmission. Copyright © 2018. Published by Elsevier B.V.

Effect Sizes for Research Univariate and Multivariate Applications

CERN Document Server

Grissom, Robert J

2011-01-01

Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, and S-Plus are provided. The book's broad disciplinary appeal results from its inclusion of a variety of examples from psychology, medicine, educa

Combinatorial bounds on the α-divergence of univariate mixture models

KAUST Repository

Nielsen, Frank

2017-06-20

We derive lower- and upper-bounds of α-divergence between univariate mixture models with components in the exponential family. Three pairs of bounds are presented in order with increasing quality and increasing computational cost. They are verified empirically through simulated Gaussian mixture models. The presented methodology generalizes to other divergence families relying on Hellinger-type integrals.

Predictors of Trigeminal Neuropathy After Radiosurgery for Vestibular Schwannomas

Energy Technology Data Exchange (ETDEWEB)

Senova, Suhan [Unité de Radiochirurgie Gamma Knife, Region Ile De France, Paris (France); Service de Neurochirurgie, Centre Hospitalier Universitaire (CHU) La Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Université Pierre et Marie Curie, Paris (France); Inserm, U955, Equipe 14, Université Paris Est, Faculté de médecine, Créteil (France); Aggad, Mourad [Unité de Radiochirurgie Gamma Knife, Region Ile De France, Paris (France); Service de Neurochirurgie, Centre Hospitalier Universitaire (CHU) La Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Université Pierre et Marie Curie, Paris (France); Golmard, Jean-Louis [Service de Biostatistiques, CHU La Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Université Pierre et Marie Curie, Paris (France); Hasboun, Dominique [Service de Neuroanatomie, CHU La Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Université Pierre et Marie Curie, Paris (France); Lamproglou, Ioannis [Unité de Radiochirurgie Gamma Knife, Region Ile De France, Paris (France); and others

2016-06-01

Purpose: To analyze the relationship between dosimetric characteristics and symptoms related to trigeminal neuropathy (TN) observed after radiosurgery (RS) for vestibular schwannomas (VS); to propose guidelines to optimize planification in VS RS regarding TN preservation; and to detail the mechanism of TN impairment after VS RS. Methods and Materials: One hundred seventy-nine patients treated between 2011 and 2013 for VS RS and without trigeminal impairment before RS were included in a retrospective study. Univariate and multivariate analyses were performed to determine predictors of TN among characteristics of the patients, the dosimetry, and the VS. Results: There were 20 Koos grade 1, 99 grade 2, 57 grade 3, and 3 grade 4. Fourteen patients (7.8%) presented a transitory or permanent TN. Between the patients with and without TN after VS RS, there was no significant difference regarding dosimetry or VS volume itself. Significant differences (univariate analysis P<.05, Mann-Whitney test) were found for parameters related to the cisternal portion of the trigeminal nerve: total integrated dose, maximum dose, mean dose, volume of the Vth nerve (Vol{sub v}), and volume of the Vth nerve receiving at least 11 Gy (Vol{sub Vcist>11Gy}), but also for maximal dose to the Vth nerve nucleus and intra-axial portion (Dose max{sub Vax}). After multivariate analysis, the best model predicting TN included Vol{sub Vcist>11Gy} (P=.0045), Dose max{sub Vax} (P=.0006), and Vol{sub v} (P=.0058). The negative predictive value of this model was 97%. Conclusions: The parameters Vol{sub Vcist>11Gy}, Dose max{sub Vax}, and Vol{sub v} should be checked when designing dosimetry for VS RS.

Predictors of treatment success in smoking cessation with varenicline combined with nicotine replacement therapy v varenicline alone

Directory of Open Access Journals (Sweden)

F Noor

2018-12-01

Full Text Available Background. Identification of the predictors of treatment success in smoking cessation may help healthcare workers to improve the effectiveness of attempts at quitting.Objective. To identify the predictors of success in a randomised controlled trial comparing varenicline alone or in combination with nicotine replacement therapy (NRT.Methods. A post-hoc analysis of the data of 435 subjects who participated in a 24-week, multicentre trial in South Africa was performed. Logistic regression was used to analyse the effect of age, sex, age at smoking initiation, daily cigarette consumption, nicotine dependence, and reinforcement assessment on abstinence rates at 12 and 24 weeks. Point prevalence and continuous abstinence rates were self-reported and confirmed biochemically with exhaled carbon monoxide readings.Results. The significant predictors of continuous abstinence at 12 and 24 weeks on multivariate analysis were lower daily cigarette consumption (odds ratio (OR 1.86, 95% confidence interval (CI 1.21 - 2.87, p=0.005 and OR 1.83, 95% CI 1.12 - 2.98, p=0.02, respectively and older age (OR 1.52, 95% CI 1.00 - 2.31, p=0.049 and OR 1.79, 95% CI 1.13 - 2.84, p=0.01, respectively. There was no difference in the predictors of success in the univariate analysis, except that older age predicted point prevalence abstinence at 12 weeks (OR 1.47, 95% CI 1.00 - 2.15, p=0.049. The findings were inconclusive for an association between abstinence and lower nicotine dependence, older age at smoking initiation and positive reinforcement.Conclusion. Older age and lower daily cigarette consumption are associated with a higher likelihood of abstinence in patients using varenicline, regardless of the addition of NRT.

Feeling well and talking about sex: psycho-social predictors of sexual functioning after cancer

Science.gov (United States)

2014-01-01

Background Changes to sexual wellbeing are acknowledged to be a long-term negative consequence of cancer and cancer treatment. These changes can have a negative effect on psychological well-being, quality of life and couple relationships. Whilst previous conclusions are based on univariate analysis, multivariate research can facilitate examination of the complex interaction between sexual function and psycho-social variables such as psychological wellbeing, quality of life, and relationship satisfaction and communication in the context of cancer, the aim of the present study. Method Six hundred and fifty seven people with cancer (535 women, 122 men) and 148 partners (87 women, 61 men), across a range of sexual and non-sexual cancers, completed a survey consisting of standardized measures of sexual functioning, depression and anxiety, quality of life, relationship satisfaction, dyadic sexual communication, and self-silencing, as well as ratings of the importance of sex to life and relationships. Results Men and women participants, reported reductions in sexual functioning after cancer across cancer type, for both people with cancer and partners. Multiple regression analysis examined psycho-social predictors of sexual functioning. Physical quality of life was a predictor for men and women with cancer, and for male partners. Dyadic sexual communication was a predictor for women with cancer, and for men and women partners. Mental quality of life and depression were also predictors for women with cancer, and the lower self-sacrifice subscale of self-silencing a predictor for men with cancer. Conclusion These results suggest that information and supportive interventions developed to alleviate sexual difficulties and facilitate sexual renegotiation should be offered to men and women with both sexual and non-sexual cancers, rather than primarily focused on individuals with sexual and reproductive cancers, as is the case currently. It is also important to include partners

Characteristics of genomic signatures derived using univariate methods and mechanistically anchored functional descriptors for predicting drug- and xenobiotic-induced nephrotoxicity.

Science.gov (United States)

Shi, Weiwei; Bugrim, Andrej; Nikolsky, Yuri; Nikolskya, Tatiana; Brennan, Richard J

2008-01-01

ABSTRACT The ideal toxicity biomarker is composed of the properties of prediction (is detected prior to traditional pathological signs of injury), accuracy (high sensitivity and specificity), and mechanistic relationships to the endpoint measured (biological relevance). Gene expression-based toxicity biomarkers ("signatures") have shown good predictive power and accuracy, but are difficult to interpret biologically. We have compared different statistical methods of feature selection with knowledge-based approaches, using GeneGo's database of canonical pathway maps, to generate gene sets for the classification of renal tubule toxicity. The gene set selection algorithms include four univariate analyses: t-statistics, fold-change, B-statistics, and RankProd, and their combination and overlap for the identification of differentially expressed probes. Enrichment analysis following the results of the four univariate analyses, Hotelling T-square test, and, finally out-of-bag selection, a variant of cross-validation, were used to identify canonical pathway maps-sets of genes coordinately involved in key biological processes-with classification power. Differentially expressed genes identified by the different statistical univariate analyses all generated reasonably performing classifiers of tubule toxicity. Maps identified by enrichment analysis or Hotelling T-square had lower classification power, but highlighted perturbed lipid homeostasis as a common discriminator of nephrotoxic treatments. The out-of-bag method yielded the best functionally integrated classifier. The map "ephrins signaling" performed comparably to a classifier derived using sparse linear programming, a machine learning algorithm, and represents a signaling network specifically involved in renal tubule development and integrity. Such functional descriptors of toxicity promise to better integrate predictive toxicogenomics with mechanistic analysis, facilitating the interpretation and risk assessment of

Third molar development: measurements versus scores as age predictor.

Science.gov (United States)

Thevissen, P W; Fieuws, S; Willems, G

2011-10-01

Human third molar development is widely used to predict chronological age of sub adult individuals with unknown or doubted age. For these predictions, classically, the radiologically observed third molar growth and maturation is registered using a staging and related scoring technique. Measures of lengths and widths of the developing wisdom tooth and its adjacent second molar can be considered as an alternative registration. The aim of this study was to verify relations between mandibular third molar developmental stages or measurements of mandibular second molar and third molars and age. Age related performance of stages and measurements were compared to assess if measurements added information to age predictions from third molar formation stage. The sample was 340 orthopantomograms (170 females, 170 males) of individuals homogenously distributed in age between 7 and 24 years. Mandibular lower right, third and second molars, were staged following Gleiser and Hunt, length and width measurements were registered, and various ratios of these measurements were calculated. Univariable regression models with age as response and third molar stage, measurements and ratios of second and third molars as predictors, were considered. Multivariable regression models assessed if measurements or ratios added information to age prediction from third molar stage. Coefficients of determination (R(2)) and root mean squared errors (RMSE) obtained from all regression models were compared. The univariable regression model using stages as predictor yielded most accurate age predictions (males: R(2) 0.85, RMSE between 0.85 and 1.22 year; females: R(2) 0.77, RMSE between 1.19 and 2.11 year) compared to all models including measurements and ratios. The multivariable regression models indicated that measurements and ratios added no clinical relevant information to the age prediction from third molar stage. Ratios and measurements of second and third molars are less accurate age predictors

Predictors for half-year outcome of impairment in daily life for back pain patients referred for physiotherapy: a prospective observational study.

Science.gov (United States)

Karstens, Sven; Hermann, Katja; Froböse, Ingo; Weiler, Stephan W

2013-01-01

From observational studies, there is only sparse information available on the predictors of development of impairment in daily life for patients receiving physiotherapy. Therefore, our aim was to identify factors which predict impairment in daily life for patients with back pain 6 months after receiving physiotherapy. We conducted a prospective cohort study with 6-month follow-up. Patients were enrolled for treatment in private physiotherapy practices. Patients with a first physiotherapy referral because of thoracic or low back pain, aged 18 to 65 years were included. Primary outcome impairment was measured utilising the 16-item version of the Musculoskeletal Function Assessment Questionnaire. Therapy was documented on a standardized form. Baseline scores for impairment in daily life, symptom characteristics, sociodemographic and psychosocial factors, physical activity, nicotine consumption, intake of analgesics, comorbidity and delivered primary therapy approach were investigated as possible predictors. Univariate and multiple linear regression analyses were performed. A total of 792 patients participated in the study (59% female, mean age 44.4 (SD 11.4), with 6-month follow-up results available from 391 patients. In univariate analysis 17 variables reached significance. In multiple linear regression identified predictors were: impairment in daily life before therapy, mental disorders, duration of the complaints, self-prognosis on work ability, rheumatoid arthritis, age, form of stress at work and physical activity. The variables explain 34% of variance (adjusted R(2), pphysiotherapy patients, this study adds new knowledge for forming appropriate referral guidelines. Impairment in daily life before therapy, mental disorder as comorbidity and the duration of the complaints can be named as outstanding factors. The results of this study can be used to facilitate comparison of patient therapy goals with the prognosis in everyday practice.

Predictors of early arrival at the emergency department in acute ischaemic stroke.

LENUS (Irish Health Repository)

Curran, C

2012-01-31

BACKGROUND: A requirement of an effective acute stroke service is the early arrival of patients to the hospital emergency department (ED). This will allow the possible use of thrombolytic therapy or other acute interventions within a limited time window. AIMS: We investigated the predictors of early arrival in a single hospital serving a mixed urban and rural catchment area. METHODS: A retrospective review of all case notes for 1 year was performed. RESULTS: Of 105 acute strokes, 91 were cerebral infarcts and a total of 71 cases presenting initially to the ED had timing available for analysis. 39.4% presented within 3 h, and 12.7% were potentially suitable for thrombolysis. Those living closer to the hospital were not more likely to arrive within 3 h (Z = -0.411, p = 0.68). Presenting directly to the hospital by emergency services (or private transport) was significantly associated with early arrival in a univariate comparison (p < 0.001), and in a multivariate model. CONCLUSION: The only independent predictor of early arrival to the ED is direct presentation. Improved public education of the importance of recognition of stroke symptoms and rapid contact with the emergency services will improve the early attendance following acute stroke, allowing increased use of acute stroke treatments.

In Nonobese Children, Fitness and BMI are Independent Predictors of Fasting Insulin.

Science.gov (United States)

Watson, Andrew M; Eickhoff, Jens; Nemeth, Blaise A; Carrel, Aaron L

2015-05-01

Although fitness and obesity have been shown to be independent predictors of cardiometabolic disease risk in obese children, this interaction is not well defined in nonobese children. The purpose of this study was to define the relationships between peak aerobic capacity, body composition, and fasting insulin levels in nonobese middle school children. 148 middle school children (mean age 11.0 ± 2.1 years, 49% male) underwent determination of body mass index (BMI) z-score, fasting glucose, fasting insulin, body composition by DXA scan (lean body mass and body fat percentage), and peak oxygen uptake per kg of lean body mass (VO2peak). Univariate correlations and multivariate regression analysis were used to identify independent predictors of fasting insulin using age, sex, percent body fat, body mass index z-score, and VO2peak. fasting insulin was significantly related to VO2peak (r =-0.37, p fasting insulin, while age (p = .39), sex (p = .49), and percent body fat (p = .72) did not. Among nonobese middle school children, fasting insulin is independently related to aerobic fitness after accounting for age, sex, and body composition. Public health efforts to reduce cardiometabolic disease risk among all adolescents should include exercise programs to increase cardiovascular fitness.

HER-2/neu Overexpression as a Predictor for the Transition from In situ to Invasive Breast Cancer

Science.gov (United States)

Roses, Robert E.; Paulson, E. Carter; Sharma, Anupama; Schueller, Jeanne E.; Nisenbaum, Harvey; Weinstein, Susan; Fox, Kevin R.; Zhang, Paul J.; Czerniecki, Brian J.

2009-01-01

The clinical implications of HER-2/neu (HER2) expression in ductal carcinoma in situ (DCIS) lesions have yet to be clearly elucidated; this despite the more frequent expression of HER2 in high-grade DCIS lesions compared with invasive cancers. We hypothesized that HER2 overexpression in DCIS is associated with more rapid progression to invasive disease. Immunohistochemical staining for estrogen receptor, progesterone receptor, and HER2 was done on DCIS specimens. Univariate analysis and a multivariate logistic regression were done to determine whether estrogen receptor, progesterone receptor, or HER2 status, comedo necrosis, nuclear grade, lesion size, or patient age predicted the presence of associated invasive disease in patients with DCIS. Invasive foci were found in association with HER2 overexpressing DCIS at a higher frequency than with DCIS that did not overexpress HER2. Although high nuclear grade, large lesion size, and HER2 overexpression were all associated with the presence of invasive disease on univariate analysis, HER2 was the only significant predictor for the presence of invasive disease after multivariate adjustment (odds ratio, 6.4; P = 0.01). These data indicate that HER2 overexpression in DCIS lesions predicts the presence of invasive foci in patients with DCIS and suggest that targeting of HER2 in an early disease setting may forestall or prevent disease progression. PMID:19383888

Pre-treatment inflammatory indexes as predictors of survival and cetuximab efficacy in metastatic colorectal cancer patients with wild-type RAS.

Science.gov (United States)

Yang, Jing; Guo, Xinli; Wang, Manni; Ma, Xuelei; Ye, Xiaoyang; Lin, Panpan

2017-12-07

This study aims at evaluating the prognostic significance of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation indexes (SII) in metastatic colorectal cancer (mCRC) patients treated with cetuximab. Ninety-five patients receiving cetuximab for mCRC were categorized into the high or low NLR, PLR, LMR, and SII groups based on their median index values. Univariate and multivariate survival analysis were performed to identify the indexes' correlation with progression-free survival (PFS) and overall survival (OS). In the univariate analysis, ECOG performance status, neutrphil counts, lymphocyte counts, monocyte counts, NLR, PLR, and LDH were associated with survival. Multivariate analysis showed that ECOG performance status of 0 (hazard ratio [HR] 3.608, p < 0.001; HR 5.030, p < 0.001, respectively), high absolute neutrophil counts (HR 2.837, p < 0.001; HR 1.922, p = 0.026, respectively), low lymphocyte counts (HR 0.352, p < 0.001; HR 0.440, p = 0.001, respectively), elevated NLR (HR 3.837, p < 0.001; HR 2.467, p = 0.006) were independent predictors of shorter PFS and OS. In conclusion, pre-treatment inflammatory indexes, especially NLR were potential biomarkers to predict the survival of mCRC patients with cetuximab therapy.

Exercise hypoxaemia as a predictor of pulmonary hypertension in COPD patients without severe resting hypoxaemia.

Science.gov (United States)

Nakahara, Yoshio; Taniguchi, Hiroyuki; Kimura, Tomoki; Kondoh, Yasuhiro; Arizono, Shinichi; Nishimura, Koichi; Sakamoto, Koji; Ito, Satoru; Ando, Masahiko; Hasegawa, Yoshinori

2017-01-01

Pulmonary hypertension (PH) in COPD is associated with morbidity and mortality. Previous studies showed a relationship between resting hypoxaemia and PH, but little is known about the relationship between exercise hypoxaemia and PH in COPD without resting hypoxaemia. A retrospective observational study of COPD patients without resting hypoxaemia was conducted to evaluate the relationships between exercise hypoxaemia and pulmonary haemodynamics. Clinical characteristics, pulmonary function, blood gas analysis, 6-min walk distance (6MWD) and oxygen saturation of peripheral artery (SpO 2 ) at the end of the 6-min walk test (6MWT) were reviewed. Correlation analysis and stepwise regression analysis were performed to identify the predictor of mean pulmonary artery pressure (mPAP). Eighty-four consecutive patients with a mean predicted forced expiratory volume in 1 s (FEV 1 ) of 47 ± 21% were evaluated. In univariate analysis, mPAP had negative correlations with age (r = -0.27, P exercise hypoxaemia indicates PH in patients with COPD without resting hypoxaemia. © 2016 Asian Pacific Society of Respirology.

Multiple predictor smoothing methods for sensitivity analysis.

Energy Technology Data Exchange (ETDEWEB)

Helton, Jon Craig; Storlie, Curtis B.

2006-08-01

The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described: (1) locally weighted regression (LOESS), (2) additive models, (3) projection pursuit regression, and (4) recursive partitioning regression. The indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present.

Multiple predictor smoothing methods for sensitivity analysis

International Nuclear Information System (INIS)

Helton, Jon Craig; Storlie, Curtis B.

2006-01-01

The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described: (1) locally weighted regression (LOESS), (2) additive models, (3) projection pursuit regression, and (4) recursive partitioning regression. The indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present

A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia.

Science.gov (United States)

Aboagye-Sarfo, Patrick; Mai, Qun; Sanfilippo, Frank M; Preen, David B; Stewart, Louise M; Fatovich, Daniel M

2015-10-01

To develop multivariate vector-ARMA (VARMA) forecast models for predicting emergency department (ED) demand in Western Australia (WA) and compare them to the benchmark univariate autoregressive moving average (ARMA) and Winters' models. Seven-year monthly WA state-wide public hospital ED presentation data from 2006/07 to 2012/13 were modelled. Graphical and VARMA modelling methods were used for descriptive analysis and model fitting. The VARMA models were compared to the benchmark univariate ARMA and Winters' models to determine their accuracy to predict ED demand. The best models were evaluated by using error correction methods for accuracy. Descriptive analysis of all the dependent variables showed an increasing pattern of ED use with seasonal trends over time. The VARMA models provided a more precise and accurate forecast with smaller confidence intervals and better measures of accuracy in predicting ED demand in WA than the ARMA and Winters' method. VARMA models are a reliable forecasting method to predict ED demand for strategic planning and resource allocation. While the ARMA models are a closely competing alternative, they under-estimated future ED demand. Copyright © 2015 Elsevier Inc. All rights reserved.

Frontline registered nurse job satisfaction and predictors over three decades: a meta-analysis from 1980 to 2009.

Science.gov (United States)

Saber, Deborah A

2014-01-01

Frontline registered nurses' job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The purpose of this study was to comprehensively, quantitatively examine the largest, moderate, and smallest predictors of frontline registered nurse job satisfaction from 1980 to 2009. A non-a priori meta-analysis was used to analyze studies that met inclusion. Sixty-two studies and 27 job satisfaction predictors met inclusion for analysis. The largest effect sizes were found for task requirements (r = .61), empowerment (r = .55), and control (r = .52), and moderate effect sizes were found for 10 predictors. Fail-safe N indicates high reliability. Heterogeneity between studies was present in all of the 27 predictor analyses. The largest predictors of job satisfaction for the frontline registered nurse may be different than previously thought. Supporting past research, autonomy and stress were found to be moderate predictors of satisfaction. Heterogeneity indicates study differences or moderator influence in studies. Copyright © 2014 Elsevier Inc. All rights reserved.

Stress assessment based on EEG univariate features and functional connectivity measures.

Science.gov (United States)

Alonso, J F; Romero, S; Ballester, M R; Antonijoan, R M; Mañanas, M A

2015-07-01

The biological response to stress originates in the brain but involves different biochemical and physiological effects. Many common clinical methods to assess stress are based on the presence of specific hormones and on features extracted from different signals, including electrocardiogram, blood pressure, skin temperature, or galvanic skin response. The aim of this paper was to assess stress using EEG-based variables obtained from univariate analysis and functional connectivity evaluation. Two different stressors, the Stroop test and sleep deprivation, were applied to 30 volunteers to find common EEG patterns related to stress effects. Results showed a decrease of the high alpha power (11 to 12 Hz), an increase in the high beta band (23 to 36 Hz, considered a busy brain indicator), and a decrease in the approximate entropy. Moreover, connectivity showed that the high beta coherence and the interhemispheric nonlinear couplings, measured by the cross mutual information function, increased significantly for both stressors, suggesting that useful stress indexes may be obtained from EEG-based features.

The Predictors of Graduation: Social Skills, Mental Health, Academic Characteristics

Directory of Open Access Journals (Sweden)

Alessandra Salina Brandão

Full Text Available Abstract: Not completing the undergraduate course in the time expected in the curricula can put the universities and students at a disadvantage, with a delay to enter the labor market. The aim was to identify predictors of graduation, considering social skills, mental health, initial academic performance and socio-demographic and academic characteristics. In total, 287 students participated, of both genders and fromthe humanities, exact and biological areas, who answered the instruments: Social Skills, Behaviors and Context Assessment Questionnaire for University Students, Short version of the Social Phobia Inventory, Beck Depression Inventory, and Structured Clinical Interview for DSM-IV. Predictors were: female, humanities area and average or above-average initial academic performance. The social skills and mental health differentiated the groups in the univariate analyses. This data suggests a need for attention to academic performance in the initial stages of the course, and preventive measures for male students of the exact and biological areas.

Clinical Predictors of Progressive Hemorrhagic Injury in Children with Mild Traumatic Brain Injury

Directory of Open Access Journals (Sweden)

Guangfu Di

2017-11-01

Full Text Available ObjectiveTraumatic brain injury (TBI occurs commonly in children. Repeat computed tomography (CT follow up of TBI patients is often scheduled to identify progressive hemorrhagic injury (PHI. However, the utility of repeated CT scans, especially in children with mild TBI [Glasgow Coma Scale (GCS scores of 13–15], has been debated. The purposes of the present study were to identify clinical predictors of PHI in children with mild TBI and to clarify relevant clinical factors via radiological examination.MethodsFrom 2014 to 2016, we retrospectively enrolled children <15 years of age with mild TBI. We recorded age, sex, GCS scores on admission, causes of head injury, timing of initial CT, any loss of consciousness, vomiting and seizure data, and type of TBI. Based on repeat CT findings, patients were dichotomized into either a PHI group or a non-PHI group. Also, clinical data were comparatively reviewed. Multivariate logistic regression analysis was used to identify clinical predictors of PHI.ResultsOf the 175 enrolled children, 15 (8.6% experienced PHI. Univariate analysis revealed that GCS score on admission, cause of head injury, vomiting, seizure, and TBI type were associated with PHI. Multivariate logistic regression analysis showed that a GCS score of 13 and epidural hemorrhage (EDH were independently associated with PHI (hazard ratio = 0.131, P = 0.018; hazard ratio = 6.612, P = 0.027, respectively.ConclusionA GCS score of 13 and EDH were associated with PHI. These factors should be considered when deciding whether to repeat CT on children with mild TBI.

Predictors of grade {>=}2 and grade {>=}3 radiation pneumonitis in patients with locally advanced non-small cell lung cancer treated with three-dimensional conformal radiotherapy

Energy Technology Data Exchange (ETDEWEB)

Dang, Jun; Li, Guang; Ma, Lianghua; Han, Chong; Zhang, Shuo; Yao, Lei [Dept. of Radiation Oncology, The First Hospital of China Medical Univ., Shenyang (China)], e-mail: gl1963516@yahoo.cn; Diao, Rao [Dept. of Experimental Technology Center, China Medical Univ., Shenyang (China); Zang, Shuang [Dept. of Nursing, China Medical Univ., Shenyang (China)

2013-08-15

Grade {>=}3 radiation pneumonitis (RP) is generally severe and life-threatening. Predictors of grade {>=}2 are usually used for grade {>=}3 RP prediction, but it is unclear whether these predictors are appropriate. In this study, predictors of grade {>=}2 and grade {>=}3 RP were investigated separately. The increased risk of severe RP in elderly patients compared with younger patients was also evaluated. Material and methods: A total of 176 consecutive patients with locally advanced non-small cell lung cancer were followed up prospectively after three-dimensional conformal radiotherapy. RP was graded according to Common Terminology Criteria for Adverse Events version 3.0. Results: Mean lung dose (MLD), mean heart dose, ratio of planning target volume to total lung volume (PTV/Lung), and dose-volume histogram comprehensive value of both heart and lung were associated with both grade {>=}2 and grade {>=}3 RP in univariate analysis. In multivariate logistic regression analysis, age and MLD were predictors of both grade {>=}2 RP and grade {>=}3 RP; receipt of chemotherapy predicted grade {>=}3 RP only; and sex and PTV/Lung predicted grade {>=}2 RP only. Among patients who developed high-grade RP, MLD and PTV/Lung were significantly lower in patients aged {>=}70 years than in younger patients (p<0.05 for both comparisons). Conclusions: The predictors were not completely consistent between grade {>=}2 RP and grade {>=}3 RP. Elderly patients had a higher risk of severe RP than younger patients did, possibly due to lower tolerance of radiation to the lung.

Independent predictors of retrograde failure in CTO-PCI after successful collateral channel crossing.

Science.gov (United States)

Suzuki, Yoriyasu; Muto, Makoto; Yamane, Masahisa; Muramatsu, Toshiya; Okamura, Atsunori; Igarashi, Yasumi; Fujita, Tsutomu; Nakamura, Shigeru; Oida, Akitsugu; Tsuchikane, Etsuo

2017-07-01

To evaluate factors for predicting retrograde CTO-PCI failure after successful collateral channel crossing. Successful guidewire/catheter collateral channel crossing is important for the retrograde approach in percutaneous coronary intervention (PCI) for chronic total occlusion (CTO). A total of 5984 CTO-PCI procedures performed in 45 centers in Japan from 2009 to 2012 were studied. The retrograde approach was used in 1656 CTO-PCIs (27.7%). We investigated these retrograde procedures to evaluate factors for predicting retrograde CTO-PCI failure even after successful collateral channel crossing. Successful guidewire/catheter collateral crossing was achieved in 77.1% (n = 1,276) of 1656 retrograde CTO-PCI procedures. Retrograde procedural success after successful collateral crossing was achieved in 89.4% (n = 1,141). Univariate analysis showed that the predictors for retrograde CTO-PCI failure were in-stent occlusion (OR = 1.9829, 95%CI = 1.1783 - 3.3370 P = 0.0088), calcified lesions (OR = 1.9233, 95%CI = 1.2463 - 2.9679, P = 0.0027), and lesion tortuosity (OR = 1.5244, 95%CI = 1.0618 - 2.1883, P = 0.0216). On multivariate analysis, lesion calcification was an independent predictor of retrograde CTO-PCI failure after successful collateral channel crossing (OR = 1.3472, 95%CI = 1.0614 - 1.7169, P = 0.0141). The success rate of retrograde CTO-PCI following successful guidewire/catheter collateral channel crossing was high in this registry. Lesion calcification was an independent predictor of retrograde CTO-PCI failure after successful collateral channel crossing. Devices and techniques to overcome complex CTO lesion morphology, such as lesion calcification, are required to further improve the retrograde CTO-PCI success rate. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Trend and forecasting rate of cancer deaths at a public university hospital using univariate modeling

Science.gov (United States)

Ismail, A.; Hassan, Noor I.

2013-09-01

Cancer is one of the principal causes of death in Malaysia. This study was performed to determine the pattern of rate of cancer deaths at a public hospital in Malaysia over an 11 year period from year 2001 to 2011, to determine the best fitted model of forecasting the rate of cancer deaths using Univariate Modeling and to forecast the rates for the next two years (2012 to 2013). The medical records of the death of patients with cancer admitted at this Hospital over 11 year's period were reviewed, with a total of 663 cases. The cancers were classified according to 10th Revision International Classification of Diseases (ICD-10). Data collected include socio-demographic background of patients such as registration number, age, gender, ethnicity, ward and diagnosis. Data entry and analysis was accomplished using SPSS 19.0 and Minitab 16.0. The five Univariate Models used were Naïve with Trend Model, Average Percent Change Model (ACPM), Single Exponential Smoothing, Double Exponential Smoothing and Holt's Method. The overall 11 years rate of cancer deaths showed that at this hospital, Malay patients have the highest percentage (88.10%) compared to other ethnic groups with males (51.30%) higher than females. Lung and breast cancer have the most number of cancer deaths among gender. About 29.60% of the patients who died due to cancer were aged 61 years old and above. The best Univariate Model used for forecasting the rate of cancer deaths is Single Exponential Smoothing Technique with alpha of 0.10. The forecast for the rate of cancer deaths shows a horizontally or flat value. The forecasted mortality trend remains at 6.84% from January 2012 to December 2013. All the government and private sectors and non-governmental organizations need to highlight issues on cancer especially lung and breast cancers to the public through campaigns using mass media, media electronics, posters and pamphlets in the attempt to decrease the rate of cancer deaths in Malaysia.

Selection of the most powerful predictors for the evaluation of hepatic steatosis grade: An experimental study

International Nuclear Information System (INIS)

Su Zhongzhen; Shan Hong; He Bingjun; Lv Wentian; Meng Xiaochun; Wang Jin; Zhu Kangshun; Yang Yang; Chen Guihua

2009-01-01

Purpose: To select the most powerful predictors for the evaluation of hepatic steatosis grade. Methods and materials: Forty-five healthy New Zealand rabbits were randomly divided into one normal control group and three experimental groups. Hepatic steatosis models were established by feeding a high-fat, high-sugar diet and drinking water containing 5% ethanol. Twenty-two variable indexes were measured using general observation, biochemical examination, ultrasonography, computed tomography (CT), and proton magnetic resonance spectroscopy (MRS). Univariate analysis, correlation analysis, and stepwise regression analysis were used to make the selection of the most powerful predictors. ROC analysis was used to compare the diagnostic efficacy of single index with combined index (Y) expressed by a regression equation. Results: Based on statistical analysis, there were 12 variable indexes with significant differences among groups, which correlated with hepatic steatosis grade: liver weight, hepatic index, liver CT value, liver-to-muscle attenuation ratio, 1 H MRS fat peak value, fat peak area, fat-to-water peak area ratio, fat percentage, ultrasound attenuation coefficient, serum aspartate aminotransferase, total cholesterol (TC) and triglycerides. Among them hepatic index, liver CT value and serum TC were selected as the most powerful predictors for hepatic steatosis grade with correlation coefficients of 0.709, -0.764, and 0.886, respectively. The regression equation was: Y = 1.975 + 3.906 x 10 -2 X 1 + 0.369X 2 - 2.84 x 10 -2 X 3 , where Y = hepatic steatosis grade, X 1 = TC, X 2 = hepatic index, and X 3 = liver CT value. ROC analysis displayed PPV, NPV, curve area of combined index (Y) were superior to simple index (hepatic index, liver CT value and serum TC) in evaluating hepatic steatosis grade, and they were nearly 1.0000, 1.0000 and 1.000, respectively. Conclusions: Combined application of several diagnostic methods is superior to simple diagnostic method, and

Selection of the most powerful predictors for the evaluation of hepatic steatosis grade: An experimental study

Energy Technology Data Exchange (ETDEWEB)

Su Zhongzhen [Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong Province (China); Shan Hong [Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong Province (China)], E-mail: gzshsums@public.guangzhou.gd.cn; He Bingjun; Lv Wentian; Meng Xiaochun; Wang Jin; Zhu Kangshun [Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong Province (China); Yang Yang; Chen Guihua [Department of Liver Transplantation, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong Province (China)

2009-10-15

Purpose: To select the most powerful predictors for the evaluation of hepatic steatosis grade. Methods and materials: Forty-five healthy New Zealand rabbits were randomly divided into one normal control group and three experimental groups. Hepatic steatosis models were established by feeding a high-fat, high-sugar diet and drinking water containing 5% ethanol. Twenty-two variable indexes were measured using general observation, biochemical examination, ultrasonography, computed tomography (CT), and proton magnetic resonance spectroscopy (MRS). Univariate analysis, correlation analysis, and stepwise regression analysis were used to make the selection of the most powerful predictors. ROC analysis was used to compare the diagnostic efficacy of single index with combined index (Y) expressed by a regression equation. Results: Based on statistical analysis, there were 12 variable indexes with significant differences among groups, which correlated with hepatic steatosis grade: liver weight, hepatic index, liver CT value, liver-to-muscle attenuation ratio, {sup 1}H MRS fat peak value, fat peak area, fat-to-water peak area ratio, fat percentage, ultrasound attenuation coefficient, serum aspartate aminotransferase, total cholesterol (TC) and triglycerides. Among them hepatic index, liver CT value and serum TC were selected as the most powerful predictors for hepatic steatosis grade with correlation coefficients of 0.709, -0.764, and 0.886, respectively. The regression equation was: Y = 1.975 + 3.906 x 10{sup -2}X{sub 1} + 0.369X{sub 2} - 2.84 x 10{sup -2}X{sub 3}, where Y = hepatic steatosis grade, X{sub 1} = TC, X{sub 2} = hepatic index, and X{sub 3} = liver CT value. ROC analysis displayed PPV, NPV, curve area of combined index (Y) were superior to simple index (hepatic index, liver CT value and serum TC) in evaluating hepatic steatosis grade, and they were nearly 1.0000, 1.0000 and 1.000, respectively. Conclusions: Combined application of several diagnostic methods is

Which DTW Method Applied to Marine Univariate Time Series Imputation

OpenAIRE

Phan , Thi-Thu-Hong; Caillault , Émilie; Lefebvre , Alain; Bigand , André

2017-01-01

International audience; Missing data are ubiquitous in any domains of applied sciences. Processing datasets containing missing values can lead to a loss of efficiency and unreliable results, especially for large missing sub-sequence(s). Therefore, the aim of this paper is to build a framework for filling missing values in univariate time series and to perform a comparison of different similarity metrics used for the imputation task. This allows to suggest the most suitable methods for the imp...

Incidence and predictors of postoperative delirium after cytoreduction surgery-hyperthermic intraperitoneal chemotherapy.

Science.gov (United States)

Plas, Matthijs; Hemmer, Patrick H J; Been, Lukas B; van Ginkel, Robert J; de Bock, Geertruida H; van Leeuwen, Barbara L

2018-02-01

Incidence of, and baseline characteristics associated with delirium in patients after cytoreduction surgery-hyperthermic intraperitoneal chemotherapy (CRS-HIPEC), were subject of investigation. The study was conducted among a consecutive series of prospectively included patients who underwent CRS-HIPEC at the University Medical Center Groningen, Groningen, the Netherlands, between February 2006 and January 2015. A chart-based instrument for delirium during hospitalization was used to identify patients with symptoms of delirium who were not diagnosed by a psychiatrist during admission. Uni- and multivariate logistic regression analyses were performed. Data of 136 patients were included in the analysis. Median age was 60 years (range: 18-76) and 50 (37%) patients were male. During hospitalization, 38 (28%) patients were diagnosed with delirium. Factors that differed significantly between the patients with and without delirium by univariate analysis were included in multivariate analysis. Multivariate analysis showed that after adjustment for age and complications other than delirium, having three or more organs resected and the CRP serum levels were independent predictors for delirium (OR: 3.97; 95% 1.24-12.76; OR: 1.01; 95% 1-1.01, respectively). This report shows an incidence of 28% of delirium, occurring after CRS-HIPEC and suggests a role for systemic inflammation in the development of postoperative delirium. © 2017 Wiley Periodicals, Inc.

Disability is an Independent Predictor of Falls and Recurrent Falls in People with Parkinson's Disease Without a History of Falls: A One-Year Prospective Study.

Science.gov (United States)

Almeida, Lorena R S; Sherrington, Catherine; Allen, Natalie E; Paul, Serene S; Valenca, Guilherme T; Oliveira-Filho, Jamary; Canning, Colleen G

2015-01-01

Predictors of falls in people with Parkinson's disease (PD) who have not previously fallen are yet to be identified. We aimed to identify predictors of all falls and recurrent falls in people with PD who had not fallen in the previous year and to explore the timing of falls in a 12-month follow-up period. Participants with PD (n = 130) were assessed by disease-specific, self-report and balance measures. Falls were recorded prospectively for 12 months. Univariate and multivariate analyses were performed. Kaplan-Meier survival analysis was used to investigate time to falling. Forty participants (31%) had ≥1 fall during follow-up and 21 (16%) had ≥2 falls. Disability, reduced balance confidence and greater concern about falling were associated with ≥1 fall in univariate analyses. Additionally, PD duration and severity, freezing of gait and impaired balance were associated with ≥2 falls (p Disability (Schwab and England scale, Odds Ratio [OR] = 0.56 per 10 points increase; 95% confidence interval [CI] 0.39-0.80; p = 0.002) was associated with ≥1 fall in the final multivariate model (area under the receiver operating characteristic curve [AUC] = 0.65; 95% CI 0.55-0.76; p = 0.005). Disability (Unified Parkinson's Disease Rating Scale activities of daily living, OR = 1.20; 95% CI 1.07-1.34; p = 0.001) and levodopa equivalent dose (OR = 1.11 per 100 mg increase; 95% CI 0.95-1.30; p = 0.19) were associated with ≥2 falls in the final multivariate model (AUC = 0.72; 95% CI 0.60-0.84; p = 0.001). Recurrent fallers experienced their first fall earlier than single fallers (p disability was the strongest single predictor of all falls and recurrent falls.

Self-rated health supersedes patient satisfaction with service quality as a predictor of survival in prostate cancer.

Science.gov (United States)

Gupta, Digant; Patel, Kamal; Lis, Christopher G

2015-09-04

We have previously reported that higher patient satisfaction (PS) with service quality is associated with favorable survival outcomes in a variety of cancers. However, we argued that patients with greater satisfaction might be the ones with better self-rated health (SRH), a recognized predictor of cancer survival. We therefore investigated whether SRH can supersede patient satisfaction as a predictor of survival in prostate cancer. Nine hundred seventeen prostate cancer treated at four Cancer Treatment Centers of America(®) hospitals between July 2011 and March 2013. PS was measured on a 7-point scale ranging from "completely dissatisfied" to "completely satisfied". SRH was measured on a 7-point scale ranging from "very poor" to "excellent". Both were dichotomized into two categories: top box response (7) versus all others (1-6). Patient survival was the primary end point. Cox regression was used to evaluate the association between PS and survival controlling for covariates. The response rate for this study was 72%. Majority of patients (n = 517) had stage II disease. Seven hundred eighty-seven (85.8%) patients were "completely satisfied". Three hundred nineteen (34.8%) patients had "excellent" SRH. There was a weak but significant correlation between satisfaction and SRH (Kendall's tau b = 0.18; p < 0.001). On univariate analysis, "completely satisfied" patients had a significantly lower risk of mortality (HR = 0.46; 95% CI: 0.25-0.85; p = 0.01). Similarly, patients with "excellent" SRH had a significantly lower risk of mortality (HR = 0.25; 95% CI: 0.11-0.58; p = 0.001). On multivariate analysis, SRH was found to be a significant predictor of survival (HR = 0.31; 95% CI: 0.12-0.79; p = 0.01) while patient satisfaction was not (HR = 0.76; 95% CI: 0.40-1.5; p = 0.40). SRH supersedes patient satisfaction with service quality as a predictor of survival in prostate cancer. SRH should be used as a control variable in analyses involving patient satisfaction as a

Endocarditis is not an Independent Predictor of Blood Transfusion in Aortic Valve Replacement Patients With Severe Aortic Regurgitation.

Science.gov (United States)

Dahn, Hannah; Buth, Karen; Legare, Jean-Francois; Mingo, Heather; Kent, Blaine; Whynot, Sara; Scheffler, Matthias

2016-06-01

This study sought to evaluate if the presence of endocarditis was independently associated with increased perioperative blood transfusion in patients undergoing aortic valve replacements (AVR) with aortic regurgitation. This was a retrospective study. Large Canadian tertiary care hospital. Six hundred sixty-two consecutive patients with aortic regurgitation score of 3 or higher undergoing AVR from 1995 to 2012. No interventions were performed in this retrospective study. After REB approval, data were obtained from a center-specific database. Univariate analysis was performed to identify variables that may be associated with transfusion of any allogeneic blood product perioperatively. A multivariate logistic regression was generated to identify independent predictors of perioperative transfusion. Unadjusted transfusion rates in patients with no endocarditis and with endocarditis were 32% and 70% (p70, urgent/emergent surgery, BMIEndocarditis was not an independent predictor of transfusion (OR = 0.748; 95% CI = 0.35-1.601). In patients undergoing AVR, unadjusted perioperative transfusion rates were higher when endocarditis was present. However, after adjustment, aortic valve endocarditis was not independently associated with blood transfusion. The authors' observation could be explained by the higher prevalence of many independent predictors of transfusion, such as comorbidities or more complex surgery, within the endocarditis group. Thus, AV endocarditis, in the absence of other risk factors, was not associated with increased perioperative transfusion risk. Copyright © 2016 Elsevier Inc. All rights reserved.

Systematic Evaluation of the Prognostic Impact and Intratumour Heterogeneity of Clear Cell Renal Cell Carcinoma Biomarkers

DEFF Research Database (Denmark)

Gulati, Sakshi; Martinez, Pierre; Joshi, Tejal

2014-01-01

and statistical analysisBiomarker association with CSS was analysed by univariate and multivariate analyses. Results and limitationsA total of 17 of 28 biomarkers (TP53 mutations; amplifications of chromosomes 8q, 12, 20q11.21q13.32, and 20 and deletions of 4p, 9p, 9p21.3p24.1, and 22q; low EDNRB and TSPAN7...... expression and six gene expression signatures) were validated as predictors of poor CSS in univariate analysis. Tumour stage and the ccB expression signature were the only independent predictors in multivariate analysis. ITH of the ccB signature was identified in 8 of 10 tumours. Several genetic alterations...... that were significant in univariate analysis were enriched, and chromosomal instability indices were increased in samples expressing the ccB signature. The study may be underpowered to validate low-prevalence biomarkers. ConclusionsThe ccB signature was the only independent prognostic biomarker. Enrichment...

Predictors of postoperative hemoglobin drop after laparoscopic myomectomy.

Science.gov (United States)

Watrowski, Rafał; Jäger, Christoph; Forster, Johannes

2017-01-01

Laparoscopic myomectomy (LM) can be associated with significant bleeding. To identify factors influencing the postoperative hemoglobin (Hb) drop after LM. This is a retrospective, single-center study. We evaluated data of 150 consecutive patients undergoing LM due to intramural myomas between 2010 and 2015. The median age of the patients was 37 (23-53) years. The mean diameter of the largest myoma was 5.7 ±2.3 (1.5-12) cm. The mean surgical time was 83 ±38 (35-299) min. The median number of sutures was 3 (1-11). The mean postoperative Hb drop was 1.6 ±1.2 (0-6) g/dl, and the mean estimated blood loss was 261 ±159 (50-1700) ml. In the univariate analysis, the postoperative Hb drop correlated with the duration of surgery (p < 0.001), diameter of the largest myoma (p < 0.001), cumulative myoma weight (p < 0.001), and number of sutures (p < 0.001), but not with patients' age or number of intramural myomas. In the multivariable analysis, the surgical time ( β = 0.395, p < 0.001), diameter of the largest myoma ( β = 0.292, p = 0.03) and preoperative Hb concentration ( β = 0.299, p < 0.001) predicted the postoperative Hb change. Surgical time and dominant myoma diameter are independent predictors of the postoperative Hb drop after LM.

Evaluation of in-line Raman data for end-point determination of a coating process: Comparison of Science-Based Calibration, PLS-regression and univariate data analysis.

Science.gov (United States)

Barimani, Shirin; Kleinebudde, Peter

2017-10-01

A multivariate analysis method, Science-Based Calibration (SBC), was used for the first time for endpoint determination of a tablet coating process using Raman data. Two types of tablet cores, placebo and caffeine cores, received a coating suspension comprising a polyvinyl alcohol-polyethylene glycol graft-copolymer and titanium dioxide to a maximum coating thickness of 80µm. Raman spectroscopy was used as in-line PAT tool. The spectra were acquired every minute and correlated to the amount of applied aqueous coating suspension. SBC was compared to another well-known multivariate analysis method, Partial Least Squares-regression (PLS) and a simpler approach, Univariate Data Analysis (UVDA). All developed calibration models had coefficient of determination values (R 2 ) higher than 0.99. The coating endpoints could be predicted with root mean square errors (RMSEP) less than 3.1% of the applied coating suspensions. Compared to PLS and UVDA, SBC proved to be an alternative multivariate calibration method with high predictive power. Copyright © 2017 Elsevier B.V. All rights reserved.

Validated univariate and multivariate spectrophotometric methods for the determination of pharmaceuticals mixture in complex wastewater

Science.gov (United States)

Riad, Safaa M.; Salem, Hesham; Elbalkiny, Heba T.; Khattab, Fatma I.

2015-04-01

Five, accurate, precise, and sensitive univariate and multivariate spectrophotometric methods were developed for the simultaneous determination of a ternary mixture containing Trimethoprim (TMP), Sulphamethoxazole (SMZ) and Oxytetracycline (OTC) in waste water samples collected from different cites either production wastewater or livestock wastewater after their solid phase extraction using OASIS HLB cartridges. In univariate methods OTC was determined at its λmax 355.7 nm (0D), while (TMP) and (SMZ) were determined by three different univariate methods. Method (A) is based on successive spectrophotometric resolution technique (SSRT). The technique starts with the ratio subtraction method followed by ratio difference method for determination of TMP and SMZ. Method (B) is successive derivative ratio technique (SDR). Method (C) is mean centering of the ratio spectra (MCR). The developed multivariate methods are principle component regression (PCR) and partial least squares (PLS). The specificity of the developed methods is investigated by analyzing laboratory prepared mixtures containing different ratios of the three drugs. The obtained results are statistically compared with those obtained by the official methods, showing no significant difference with respect to accuracy and precision at p = 0.05.

Cellulose I crystallinity determination using FT-Raman spectroscopy : univariate and multivariate methods

Science.gov (United States)

Umesh P. Agarwal; Richard S. Reiner; Sally A. Ralph

2010-01-01

Two new methods based on FT–Raman spectroscopy, one simple, based on band intensity ratio, and the other using a partial least squares (PLS) regression model, are proposed to determine cellulose I crystallinity. In the simple method, crystallinity in cellulose I samples was determined based on univariate regression that was first developed using the Raman band...

Predictors of Individual-Level Innovation at Work: A Meta-Analysis

OpenAIRE

Hammond, Michelle M; Neff, Nicole L; Farr, James L; Schwall, Alexander R; Zhao, Xinyuan

2011-01-01

peer-reviewed Numerous narrative reviews related to innovation in work organizations have been published, yet very few quantitative reviews have been conducted. The present meta-analysis investigates the relationships between four predictor types (individual differences, motivation, job characteristics, and contextual influences) and individual-level workplace innovation. Results indicated that individual factors, characteristics of the job, and factors of the environment were moderately a...

Predictor-Corrector Primal-Dual Interior Point Method for Solving Economic Dispatch Problems: A Postoptimization Analysis

Directory of Open Access Journals (Sweden)

Antonio Roberto Balbo

2012-01-01

Full Text Available This paper proposes a predictor-corrector primal-dual interior point method which introduces line search procedures (IPLS in both the predictor and corrector steps. The Fibonacci search technique is used in the predictor step, while an Armijo line search is used in the corrector step. The method is developed for application to the economic dispatch (ED problem studied in the field of power systems analysis. The theory of the method is examined for quadratic programming problems and involves the analysis of iterative schemes, computational implementation, and issues concerning the adaptation of the proposed algorithm to solve ED problems. Numerical results are presented, which demonstrate improvements and the efficiency of the IPLS method when compared to several other methods described in the literature. Finally, postoptimization analyses are performed for the solution of ED problems.

Prognostic impact of the level of nodal involvement: retrospective analysis of patients with advanced oral squamous cell carcinoma.

Science.gov (United States)

Murakami, R; Nakayama, H; Semba, A; Hiraki, A; Nagata, M; Kawahara, K; Shiraishi, S; Hirai, T; Uozumi, H; Yamashita, Y

2017-01-01

We retrospectively evaluated the prognostic impact of the level of nodal involvement in patients with advanced oral squamous cell carcinoma (SCC). Between 2005 and 2010, 105 patients with clinical stage III or IV oral SCC had chemoradiotherapy preoperatively. Clinical (cN) and pathological nodal (pN) involvement was primarily at levels Ib and II. We defined nodal involvement at levels Ia and III-V as anterior and inferior extensions, respectively, and recorded such findings as extensive. With respect to pretreatment variables (age, clinical stage, clinical findings of the primary tumour, and nodal findings), univariate analysis showed that extensive cN was the only significant factor for overall survival (hazard ratio [HR], 3.27; 95% CI 1.50 to 7.13; p=0.001). Univariate analysis showed that all pN findings, including the nodal classification (invaded nodes, multiple, and contralateral) and extensive involvement were significant, and multivariate analysis confirmed that extensive pN (HR 4.71; 95% CI 1.85 to 11.97; p=0.001) and multiple pN (HR 2.59; 95% CI 1.10 to 6.09; p=0.029) were independent predictors of overall survival. Assessment based on the level of invaded neck nodes may be a better predictor of survival than the current nodal classification. Copyright © 2016 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

PREDICTORS OF CAROTID INTIMA MEDIA THICKNESS IN OBESE ADOLESCENTS

Directory of Open Access Journals (Sweden)

Dusan Paripovic

2017-04-01

Full Text Available Our aim was to assess cardiovascular risk factors that may predict increased carotid intima media thickness (cIMT in obese children and adolescents. Children and adolescents were included in the cross-sectional study if they were aged 9-19 years and had primary obesity. Besides anthropometric and biochemical measurements, ambulatory blood pressure monitoring, measurement of carotid intima media thickness and exercise stress test were performed. We included 103 obese patients and divided them according to the ambulatory blood pressure findings in two groups: obese patients with and without ambulatory hypertension. There were 49 obese patients with and 54 without ambulatory hypertension Univariate analysis showed that there was a significant positive correlation of cIMT with age (r = 0.334, p= 0.001, body mass index (r = 0.288, p = 0.004, waist circumference (r = 0.352, p = 0.000, hip circumference (r = 0.288, p = 0.004, night-time systolic blood pressure (r = 0.226, p = 0.027, and peak diastolic blood pressure on exercise test (r = 0.241, p = 0.018. In a stepwise model, age, waist circumference and peak diastolic blood pressure on exercise test were independent predictors of cIMT.

Predictors of nurse manager stress: a dominance analysis of potential work environment stressors.

Science.gov (United States)

Kath, Lisa M; Stichler, Jaynelle F; Ehrhart, Mark G; Sievers, Andree

2013-11-01

Nurse managers have important but stressful jobs. Clinical or bedside nurse predictors of stress have been studied more frequently, but less has been done on work environment predictors for those in this first-line leadership role. Understanding the relative importance of those work environment predictors could be used to help identify the most fruitful areas for intervention, potentially improving recruitment and retention for nurse managers. Using Role Stress Theory and the Job Demands-Resources Theory, a model was tested examining the relative importance of five potential predictors of nurse manager stress (i.e., stressors). The work environment stressors included role ambiguity, role overload, role conflict, organizational constraints, and interpersonal conflict. A quantitative, cross-sectional survey study was conducted with a convenience sample of 36 hospitals in the Southwestern United States. All nurse managers working in these 36 hospitals were invited to participate. Of the 636 nurse managers invited, 480 responded, for a response rate of 75.5%. Questionnaires were distributed during nursing leadership meetings and were returned in person (in sealed envelopes) or by mail. Because work environment stressors were correlated, dominance analysis was conducted to examine which stressors were the most important predictors of nurse manager stress. Role overload was the most important predictor of stress, with an average of 13% increase in variance explained. The second- and third-most important predictors were organizational constraints and role conflict, with an average of 7% and 6% increase in variance explained, respectively. Because other research has shown deleterious effects of nurse manager stress, organizational leaders are encouraged to help nurse managers reduce their actual and/or perceived role overload and organizational constraints. Copyright © 2013 Elsevier Ltd. All rights reserved.

Race predictors and hemodynamic alteration after an ultra-trail marathon race

Directory of Open Access Journals (Sweden)

Taksaudom N

2017-10-01

Full Text Available Noppon Taksaudom,1 Natee Tongsiri,2 Amarit Potikul,1 Chawakorn Leampriboon,1 Apichat Tantraworasin,1 Anong Chaiyasri,1 1Cardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital, 2Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand Objective: Unique rough-terrain ultra-trail running races have increased in popularity. Concerns regarding the suitability of the candidates make it difficult for organizers to manage safety regulations. The purpose of this study was to identify possible race predictors and assess hemodynamic change after long endurance races.Methods: We studied 228 runners who competed in a 66 km-trail running race. A questionnaire and noninvasive hemodynamic flow assessment including blood pressure, heart rate, stroke volume, stroke volume variation, systemic vascular resistance, cardiac index, and oxygen saturation were used to determine physiologic alterations and to identify finish predictors. One hundred and thirty volunteers completed the questionnaire, 126 participants had a prerace hemodynamic assessment, and 33 of these participants completed a postrace assessment after crossing the finish line. The participants were divided into a finisher group and a nonfinisher group.Results: The average age of all runners was 37 years (range of 24–56 years. Of the 228 ­runners, 163 (71.5% were male. There were 189 (82.9% finishers. Univariable analysis indicated that the finish predictors included male gender, longest distance ever run, faster running records, and lower diastolic pressure. Only a lower diastolic pressure was a significant predictor of race finishing (diastolic blood pressure 74–84 mmHg: adjusted odd ratio 3.81; 95% confidence interval [CI]  =1.09–13.27 and diastolic blood pressure <74 mmHg: adjusted odd ratio 7.74; 95% CI =1.57–38.21 using the figure from the multivariable analysis. Among the finisher group, hemodynamic parameters

Predictors of 30- and 90-day readmission following craniotomy for malignant brain tumors: analysis of nationwide data.

Science.gov (United States)

Donoho, Daniel A; Wen, Timothy; Babadjouni, Robin M; Schwartzman, William; Buchanan, Ian A; Cen, Steven Y; Zada, Gabriel; Mack, William J; Attenello, Frank J

2018-01-01

Hospital readmissions are a major contributor to increased health care costs and are associated with worse patient outcomes after neurosurgery. We used the newly released Nationwide Readmissions Database (NRD) to describe the association between patient, hospital and payer factors with 30- and 90-day readmission following craniotomy for malignant brain tumor. All adult inpatients undergoing craniotomy for primary and secondary malignant brain tumors in the NRD from 2013 to 2014 were included. We identified all cause readmissions within 30- and 90-days following craniotomy for tumor, excluding scheduled chemotherapeutic procedures. We used univariate and multivariate models to identify patient, hospital and administrative factors associated with readmission. We identified 27,717 admissions for brain tumor craniotomy in 2013-2014, with 3343 (13.2%) 30-day and 5271 (25.7%) 90-day readmissions. In multivariate analysis, patients with Medicaid and Medicare were more likely to be readmitted at 30- and 90-days compared to privately insured patients. Patients with two or more comorbidities were more likely to be readmitted at 30- and 90-days, and patients discharged to skilled nursing facilities or home health care were associated with increased 90-day readmission rates. Finally, hospital procedural volume above the 75th percentile was associated with decreased 90-day readmission rates. Patients treated at high volume hospitals are less likely to be readmitted at 90-days. Insurance type, non-routine discharge and patient comorbidities are predictors of postoperative non-scheduled readmission. Further studies may elucidate potentially modifiable risk factors when attempting to improve outcomes and reduce cost associated with brain tumor surgery.

Dosimetric predictors of diarrhea during radiotherapy for prostate cancer

International Nuclear Information System (INIS)

Sanguineti, Giuseppe; Endres, Eugene J.; Parker, Brent C.; Sormani, Maria Pia

2009-01-01

Purpose: to investigate dosimetric predictors of diarrhea during radiotherapy (RT) for prostate cancer. Patients and methods: all patients who underwent external-beam radiotherapy as part of treatment for localized prostate cancer at the University of Texas Medical Branch, Galveston, TX, USA, from May 2002 to November 2006 were extracted from the own database. From the cumulative dose-volume histogram (DVH), the absolute volumes (V-value) of intestinal cavity (IC) receiving 15, 30, and 45 Gy were extracted for each patient. Acute gastrointestinal toxicity was prospectively scored at each weekly treatment visit according to CTC (common toxicity criteria) v2.0. The endpoint was the development of peak grade ≥ 2 diarrhea during RT. Various patient, tumor, and treatment characteristics were evaluated using logistic regression. Results: 149 patients were included in the analysis, 112 (75.2%) treated with whole-pelvis intensity-modulated radiotherapy (WP-IMRT) and 37 (24.8%) with prostate-only RT, including or not including, the seminal vesicles (PORT ± SV). 45 patients (30.2%) developed peak grade ≥ 2 diarrhea during treatment. At univariate analysis, IC-V 15 and IC-V 30 , but not IC-V 45 , were correlated to the endpoint; at multivariate analysis, only IC-V 15 (p = 0.047) along with peak acute proctitis (p = 0.041) was independently correlated with the endpoint. Conclusion: these data provide a novel and prostate treatment-specific ''upper limit'' DVH for IC. (orig.)

Predictors of 30-day readmission after aneurysmal subarachnoid hemorrhage: a case-control study.

Science.gov (United States)

Greenberg, Jacob K; Guniganti, Ridhima; Arias, Eric J; Desai, Kshitij; Washington, Chad W; Yan, Yan; Weng, Hua; Xiong, Chengjie; Fondahn, Emily; Cross, DeWitte T; Moran, Christopher J; Rich, Keith M; Chicoine, Michael R; Dhar, Rajat; Dacey, Ralph G; Derdeyn, Colin P; Zipfel, Gregory J

2017-06-01

OBJECTIVE Despite persisting questions regarding its appropriateness, 30-day readmission is an increasingly common quality metric used to influence hospital compensation in the United States. However, there is currently insufficient evidence to identify which patients are at highest risk for readmission after aneurysmal subarachnoid hemorrhage (SAH). The objective of this study was to identify predictors of 30-day readmission after SAH, to focus preventative efforts, and to provide guidance to funding agencies seeking to risk-adjust comparisons among hospitals. METHODS The authors performed a case-control study of 30-day readmission among aneurysmal SAH patients treated at a single center between 2003 and 2013. To control for geographic distance from the hospital and year of treatment, the authors randomly matched each case (30-day readmission) with approximately 2 SAH controls (no readmission) based on home ZIP code and treatment year. They evaluated variables related to patient demographics, socioeconomic characteristics, comorbidities, presentation severity (e.g., Hunt and Hess grade), and clinical course (e.g., need for gastrostomy or tracheostomy, length of stay). Conditional logistic regression was used to identify significant predictors, accounting for the matched design of the study. RESULTS Among 82 SAH patients with unplanned 30-day readmission, the authors matched 78 patients with 153 nonreadmitted controls. Age, demographics, and socioeconomic factors were not associated with readmission. In univariate analysis, multiple variables were significantly associated with readmission, including Hunt and Hess grade (OR 3.0 for Grade IV/V vs I/II), need for gastrostomy placement (OR 2.0), length of hospital stay (OR 1.03 per day), discharge disposition (OR 3.2 for skilled nursing vs other disposition), and Charlson Comorbidity Index (OR 2.3 for score ≥ 2 vs 0). However, the only significant predictor in the multivariate analysis was discharge to a skilled

Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China.

Science.gov (United States)

Zhang, Yong; Zhong, Miner; Geng, Nana; Jiang, Yunjian

2017-01-01

The market demand for electric vehicles (EVs) has increased in recent years. Suitable models are necessary to understand and forecast EV sales. This study presents a singular spectrum analysis (SSA) as a univariate time-series model and vector autoregressive model (VAR) as a multivariate model. Empirical results suggest that SSA satisfactorily indicates the evolving trend and provides reasonable results. The VAR model, which comprised exogenous parameters related to the market on a monthly basis, can significantly improve the prediction accuracy. The EV sales in China, which are categorized into battery and plug-in EVs, are predicted in both short term (up to December 2017) and long term (up to 2020), as statistical proofs of the growth of the Chinese EV industry.

Red blood cell distribution width as a predictor of survival in nasal-type, extranodal natural killer/T-cell lymphoma.

Science.gov (United States)

Luo, Huaichao; Quan, Xiaoying; Song, Xiao-Yu; Zhang, Li; Yin, Yilin; He, Qiao; Cai, Shaolei; Li, Shi; Zeng, Jian; Zhang, Qing; Gao, Yu; Yu, Sisi

2017-11-03

We retrospectively enrolled 191 nasal-type, extranodal natural killer/T-cell lymphoma (ENKTL) patients newly diagnosed from 2008 to 2016 at the Sichuan Cancer Hospital, in order to evaluate the relationship between disease outcomes, demographic and clinical factors, and red blood cell distribution width (RDW). C-index, fisher's exact test, univariate analysis, and cox regression analysis were applied. The median age of patients was 44 years and 134 (70%) were men. The cutoff of RDW was 46.2 fL determined by Cutoff Finder. Patients with RDW≤46.2 fL had significantly better progression-free survival (PFS) (3-year PFS, 80.4% vs. 63.1%; P =0.01) and overall survival (OS) (3-year OS, 83.2% vs. 65.5%; P =0.004) than those with RDW>46.2 fL. Multivariate analysis demonstrated that elevated RDW is an independent adverse predictor of OS ( P =0.021, HR=2.04). RDW is an independent predictor of survival outcomes in ENKTL, which we found to be superior to both the prognostic index of natural killer lymphoma (PINK) and the Korean Prognostic Index (KPI) in discriminating patients with different outcomes in low-risk and high-risk groups (all P KPI, and PINK showed more powerful prognostic value than corresponding original models. RDW represents an easily available and inexpensive marker for risk stratification in patients with ENKTL treated with radiotherapy-based treatment. Further prospective studies are warranted to confirm the prognostic value of RDW in ENKTL.

[Retrospective statistical analysis of clinical factors of recurrence in chronic subdural hematoma: correlation between univariate and multivariate analysis].

Science.gov (United States)

Takayama, Motoharu; Terui, Keita; Oiwa, Yoshitsugu

2012-10-01

Chronic subdural hematoma is common in elderly individuals and surgical procedures are simple. The recurrence rate of chronic subdural hematoma, however, varies from 9.2 to 26.5% after surgery. The authors studied factors of the recurrence using univariate and multivariate analyses in patients with chronic subdural hematoma We retrospectively reviewed 239 consecutive cases of chronic subdural hematoma who received burr-hole surgery with irrigation and closed-system drainage. We analyzed the relationships between recurrence of chronic subdural hematoma and factors such as sex, age, laterality, bleeding tendency, other complicated diseases, density on CT, volume of the hematoma, residual air in the hematoma cavity, use of artificial cerebrospinal fluid. Twenty-one patients (8.8%) experienced a recurrence of chronic subdural hematoma. Multiple logistic regression found that the recurrence rate was higher in patients with a large volume of the residual air, and was lower in patients using artificial cerebrospinal fluid. No statistical differences were found in bleeding tendency. Techniques to reduce the air in the hematoma cavity are important for good outcome in surgery of chronic subdural hematoma. Also, the use of artificial cerebrospinal fluid reduces recurrence of chronic subdural hematoma. The surgical procedures can be the same for patients with bleeding tendencies.

Nuisance forecasting. Univariate modelling and very-short-term forecasting of winter smog episodes; Immissionsprognose. Univariate Modellierung und Kuerzestfristvorhersage von Wintersmogsituationen

Energy Technology Data Exchange (ETDEWEB)

Schlink, U.

1996-12-31

The work evaluates specifically the nuisance data provided by the measuring station in the centre of Leipig during the period from 1980 to 1993, with the aim to develop an algorithm for making very short-term forecasts of excessive nuisances. Forecasting was to be univariate, i.e., based exclusively on the half-hourly readings of SO{sub 2} concentrations taken in the past. As shown by Fourier analysis, there exist three main and mutually independent spectral regions: the high-frequency sector (period < 12 hours) of unstable irregularities, the seasonal sector with the periods of 24 and 12 hours, and the low-frequency sector (period > 24 hours). After breaking the measuring series up into components, the low-frequency sector is termed trend component, or trend for short. For obtaining the components, a Kalman filter is used. It was found that smog episodes are most adequately described by the trend component. This is therefore more closely investigated. The phase representation then shows characteristic trajectories of the trends. (orig./KW) [Deutsch] In der vorliegende Arbeit wurden speziell die Immissionsdaten der Messstation Leipzig-Mitte des Zeitraumes 1980-1993 mit dem Ziel der Erstellung eines Algorithmus fuer die Kuerzestfristprognose von Ueberschreitungssituationen untersucht. Die Prognosestellung sollte allein anhand der in der Vergangenheit registrierten Halbstundenwerte der SO{sub 2}-Konzentration, also univariat erfolgen. Wie die Fourieranalyse zeigt, gibt es drei wesentliche und voneinander unabhaengige Spektralbereiche: Den hochfrequenten Bereich (Periode <12 Stunden) der instabilen Irregularitaeten, den saisonalen Anteil mit den Perioden von 24 und 12 Stunden und den niedrigfrequenten Bereich (Periode >24 Stunden). Letzterer wird nach einer Zerlegung der Messreihe in Komponenten als Trendkomponente (oder kurz Trend) bezeichnet. Fuer die Komponentenzerlegung wird ein Kalman-Filter verwendet. Es stellt sich heraus, dass Smogepisoden am deutlichsten

Demographics as predictors of suicidal thoughts and behaviors: A meta-analysis.

Directory of Open Access Journals (Sweden)

Xieyining Huang

Full Text Available Certain demographic factors have long been cited to confer risk or protection for suicidal thoughts and behaviors. However, many studies have found weak or non-significant effects. Determining the effect strength and clinical utility of demographics as predictors is crucial for suicide risk assessment and theory development. As such, we conducted a meta-analysis to determine the effect strength and clinical utility of demographics as predictors.We searched PsycInfo, PubMed, and GoogleScholar for studies published before January 1st, 2015. Inclusion criteria required that studies use at least one demographic factor to longitudinally predict suicide ideation, attempt, or death. The initial search yielded 2,541 studies, 159 of which were eligible. A total of 752 unique statistical tests were included in analysis.Suicide death was the most commonly studied outcome, followed by attempt and ideation. The average follow-up length was 9.4 years. The overall effects of demographic factors studied in the field as risk factors were significant but weak, and that of demographic factors studied as protective factors were non-significant. Adjusting for publication bias further reduced effect estimates. No specific demographic factors appeared to be strong predictors. The effects were consistent across multiple moderators.At least within the narrow methodological constraints of the existing literature, demographic factors were statistically significant risk factors, but not protective factors. Even as risk factors, demographics offer very little improvement in predictive accuracy. Future studies that go beyond the limitations of the existing literature are needed to further understand the effects of demographics.

Dietary predictors of childhood obesity in a representative sample of children in north east of Iran.

Science.gov (United States)

Baygi, Fereshteh; Qorbani, Mostafa; Dorosty, Ahmad Reza; Kelishadi, Roya; Asayesh, Hamid; Rezapour, Aziz; Mohammadi, Younes; Mohammadi, Fatemeh

2013-07-01

The prevalence of obesity is increasing in Iranian youngsters. This study aimed to assess some dietary determinants of obesity in a representative sample of children in Neishabour, a city in northeastern, Iran. This case-control study was conducted among 114 school students, aged 6-12 years, with a body mass index (BMI) ≥95th (based on percentile of Iranian children) as the case group and 102 age- and gender-matched controls, who were selected from their non-obese classmates. Nutrient intake data were collected by trained nutritionists by using two 24-hour-dietary recalls through maternal interviews in the presence of their child. A food frequency questionnaire was used for detecting the snack consumption patterns. Statistical analysis was done using univariate and multivariate logistic regression (MLR) by SPSS version 16. In univariate logistic regression, total energy, protein, carbohydrate, fat (including saturated, mono- and poly-unsaturated fat), and dietary fiber were the positive predictors of obesity in studied children. The estimated crude ORs for frequency of corn-based extruded snacks, carbonated beverages, potato chips, fast foods, and chocolate consumption were statistically significant. After MLR analysis, the association of obesity remained significant with energy intake (OR = 2.489, 95%CI: 1.667-3.716), frequency of corn-based extruded snacks (OR = 1.122, 95%CI: 1.007-1.250), and potato chips (OR = 1.143, 95%CI:1.024-1.276). The MLR analysis showed that dietary fiber (OR = 0.601, 95%CI: 0.368-0.983) and natural fruit juice intake (OR = 0.909, 95%CI: 0.835-0.988) were protective factors against obesity. The findings serve to confirm the role of an unhealthy diet, notably calorie-dense snacks, in childhood obesity. Healthy dietary habits, such as the consumption of high-fiber foods, should be encouraged among children.

Meta-Analyses of Predictors of Hope in Adolescents.

Science.gov (United States)

Yarcheski, Adela; Mahon, Noreen E

2016-03-01

The purposes of this study were to identify predictors of hope in the literature reviewed, to use meta-analysis to determine the mean effect size (ES) across studies between each predictor and hope, and to examine four moderators on each predictor-hope relationship. Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for the literature reviewed, 77 published studies or doctoral dissertations completed between 1990 and 2012 met the inclusion criteria. Eleven predictors of hope were identified and each predictor in relation to hope was subjected to meta-analysis. Five predictors (positive affect, life satisfaction, optimism, self-esteem, and social support) of hope had large mean ESs, 1 predictor (depression) had a medium ES, 4 predictors (negative affect, stress, academic achievement, and violence) had small ESs, and 1 predictor (gender) had a trivial ES. Findings are interpreted for the 11 predictors in relation to hope. Limitations and conclusions are addressed; future studies are recommended. © The Author(s) 2014.

Predictors of Recurrence and Complications After Chronic Subdural Hematoma Surgery: A Population-Based Study.

Science.gov (United States)

Bartek, Jiri; Sjåvik, Kristin; Kristiansson, Helena; Ståhl, Fredrik; Fornebo, Ida; Förander, Petter; Jakola, Asgeir S

2017-10-01

To investigate predictors of recurrence and moderate to severe complications after burr-hole surgery for chronic subdural hematoma (cSDH). A retrospective review was conducted in a Scandinavian single-center population-based cohort of 759 adult patients with cSDH operated with burr-hole surgery between January 1, 2005 and December 31, 2010. Possible predictors of recurrence and complications, assessed using a standardized reporting system of adverse events, were identified and analyzed in univariable analyses. Variables with a P value hematoma (odds ratio [OR], 2.05; 95% confidence interval [CI], 1.25-3.35; P hematoma diameter in millimeters (OR, 1.05; 95% CI, 1.01-1.09; P 1 (OR, 2.28; 95% CI, 1.10-4.75; P = 0.03) were independent predictors of moderate to severe complications. Recurrence after cSDH surgery is more often encountered in patients with radiologically more extensive disease reflected by bilateral hematoma and large hematoma diameter. On the other hand, moderate to severe complications are more often seen in patients in a worse clinical condition, reflected by decreased level of consciousness and more comorbidities. Copyright © 2017 Elsevier Inc. All rights reserved.

Management of long segment anterior urethral stricture (≥ 8cm using buccal mucosal (BM graft and penile skin (PS flap: outcome and predictors of failure

Directory of Open Access Journals (Sweden)

Gamal A. Alsagheer

Full Text Available ABSTRACT Purpose To evaluate the surgical outcome and predictors of failure of substitution urethroplasty using either dorsal onlay buccal mucosal (BM graft or ventral onlay penile skin flap (PS for anterior urethral stricture ≥ 8cm. Patients and methods Between March 2010 and January 2016, 50 patients with anterior urethral stricture ≥ 8 cm were treated at our hospital. The surgical outcome and success rate were assessed. The predictors of failure were analyzed using multivariate analysis. Failure was considered when subsequent urethrotomy or urethroplasty were needed. Results Dorsal onlay BM graft was carried out in 24 patients, while PS urethroplasty in 26 patients. There was no significant difference between both groups regarding patients demographics, stricture characteristics or follow-up period. One case in the BM group was lost during follow-up. Stricture recurrence was detected in 7 (30.4% patients out of BM group while in 6 (23.1% patients out of PS group (p value= 0.5. No significant differences between both groups regarding overall early and late complications were observed. Occurrence of early complications and the stricture length were the only predictors of failure in univariate analysis, while in multivariate analysis the occurrence of early complications was only significant. Conclusion On short-term follow-up, both dorsal onlay BM graft and ventral onlay PS flap urethroplasty have similar success rates. However, BM graft has a potential advantage to reduce operative time and is also technically easier. The surgeon should avoid early local complications as they represent a higher risk for failure.

Multivariate Analysis of the Predictors of Survival for Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Focusing on Superselective Chemoembolization

International Nuclear Information System (INIS)

Ji, Suk Kyeong; Cho, Yun Ku; Ahn, Yong Sik; Kim, Mi Young; Park, Yoon Ok; Kim, Jae Kyun; Kim, Wan Tae

2008-01-01

While the prognostic factors of survival for patients with hepatocellular carcinoma (HCC) who underwent transarterial chemoembolization (TACE) are well known, the clinical significance of performing selective TACE for HCC patients has not been clearly documented. We tried to analyze the potential factors of disease-free survival for these patients, including the performance of selective TACE. A total of 151 patients with HCC who underwent TACE were retrospectively analyzed for their disease-free survival (a median follow- up of 23 months, range: 1-88 months). Univariate and multivariate analyses were performed for 20 potential factors by using the Cox proportional hazard model, including 19 baseline factors and one procedure-related factor (conventional versus selective TACE). The parameters that proved to be significant on the univariate analysis were subsequently tested with the multivariate model. Conventional or selective TACE was performed for 40 and 111 patients, respectively. Univariate and multivariate analyses revealed that tumor multiplicity, venous tumor thrombosis and selective TACE were the only three independent significant prognostic factors of disease-free survival (p = 0.002, 0.015 and 0.019, respectively). In our study, selective TACE was a favorable prognostic factor for the disease-free survival of patients with HCC who underwent TACE

Predictors of short term treatment outcome in patients with achalasia following endoscopic or surgical therapy.

Science.gov (United States)

Gheorghe, Cristian; Bancila, Ion; Tutuian, Radu; Iacob, Razvan; Tomulescu, Victor

2012-01-01

Pneumatic balloon dilation and surgical myotomy are the most effective treatments for achalasia. While there is controversy which method is best, the aim of the current study was to identify predictors of symptom recurrence after endoscopic or surgical therapy. Patients undergoing pneumatic balloon dilatation (30mm) or laparoscopic Heller myotomy with Dor fundoplication were included in the study. Analyzed parameters include total symptom score (sum of 0-5 point intensity for dysphagia, regurgitation and chest pain), width and height of esophageal column at 2 and 5 minutes after oral barium ingestion, lower esophageal sphincter (LES) length, resting (LESP) and residual pressure (LESRP) before and 3 months after intervention. Patients with symptoms score surgical group were symptom-free 3 months after intervention. Therapies improved LESP (24.4±8.2mmHg pre- vs. 15.4±10.3mmHg post-therapy; p=0.003) and mean LESRP (7.9±4.3mmHg pre- vs. 5.3±6.7mmHg post-therapy; p=0.03). Univariate linear regression analysis identified barium contrast column width >5cm at 2 minutes (p=0.04), LES length 10mmHg (p=0.02) as predictors for persistent symptoms. While >85% of achalasia patients responded well to 30mm pneumatic balloon dilation, patients with elevated LES pressure, short LES and wide esophagus should be considered as primary surgical candidates.

Echocardiographic predictors of coil vs device closure in patients undergoing percutaneous patent ductus arteriosus closure.

Science.gov (United States)

Roushdy, Alaa; Abd El Razek, Yasmeen; Mamdouh Tawfik, Ahmed

2018-01-01

To determine anatomic and hemodynamic echocardiographic predictors for patent ductus arteriosus (PDA) device vs coil closure. Seventy-six patients who were referred for elective transcatheter PDA closure were enrolled in the study. All patients underwent full echocardiogram including measurement of the PDA pulmonary end diameter, color flow width and extent, peak and end-diastolic Doppler gradients across the duct, diastolic flow reversal, left atrial dimensions and volume, left ventricular sphericity index, and volumes. The study group was subdivided into 2 subgroups based on the mode of PDA closure whether by coil (n = 42) or device (n = 34). Using univariate analysis there was a highly significant difference between the 2 groups as regard the pulmonary end diameter measured in both the suprasternal and parasternal short-axis views as well as the color flow width and color flow extent (P closure group had statistically significant higher end-systolic and end-diastolic volumes indexed, left atrial volume, and diastolic flow reversal. Receiver operating characteristic curve analysis showed a pulmonary end diameter cutoff point from the suprasternal view > 2.5 mm and from parasternal short-axis view > 2.61 mm to have the highest balanced sensitivity and specificity to predict the likelihood for device closure (AUC 0.971 and 0.979 respectively). The pulmonary end diameter measured from the suprasternal view was the most independent predictor of device closure. The selection between PDA coil or device closure can be done on the basis of multiple anatomic and hemodynamic echocardiographic variables. © 2017 Wiley Periodicals, Inc.

Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax

DEFF Research Database (Denmark)

Krejca, Martin S.; Witt, Carsten

2017-01-01

The Univariate Marginal Distribution Algorithm (UMDA), a popular estimation of distribution algorithm, is studied from a run time perspective. On the classical OneMax benchmark function, a lower bound of Ω(μ√n + n log n), where μ is the population size, on its expected run time is proved...... values maintained by the algorithm, including carefully designed potential functions. These techniques may prove useful in advancing the field of run time analysis for estimation of distribution algorithms in general........ This is the first direct lower bound on the run time of the UMDA. It is stronger than the bounds that follow from general black-box complexity theory and is matched by the run time of many evolutionary algorithms. The results are obtained through advanced analyses of the stochastic change of the frequencies of bit...

Predictors of psychiatric boarding in the pediatric emergency department: implications for emergency care.

Science.gov (United States)

Wharff, Elizabeth A; Ginnis, Katherine B; Ross, Abigail M; Blood, Emily A

2011-06-01

Patients who present to the emergency department (ED) and require psychiatric hospitalization may wait in the ED or be admitted to a medical service because there are no available inpatient psychiatric beds. These patients are psychiatric "boarders." This study describes the extent of the boarder problem in a large, urban pediatric ED, compares characteristics of psychiatrically hospitalized patients with boarders, and compares predictors of boarding in 2 ED patient cohorts. A retrospective cohort study was conducted in 2007-2008. The main outcome measure was placement into a psychiatric facility or boarding. Predictors of boarding in the present analysis were compared with predictors from a similar study conducted in the same ED in 1999-2000. Of 461 ED patient encounters requiring psychiatric admission, 157 (34.1%) boarded. Mean and median boarding duration for the sample were 22.7(SD, 8.08) and 21.18 hours, respectively. Univariate generalized estimating equations demonstrated increased boarding odds for patients carrying Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnoses of autism, mental retardation, and/or developmental delay (P = 0.01), presenting during the weekend (P = 0.03) or presenting during months without school vacation (P = 0.02). Suicidal ideation (SI) significantly predicted boarding status, with increased likelihood of boarding for severe SI (P = 0.02). Age, race, insurance status, and homicidal ideation did not significantly predict boarding in the 2007-2008 patient cohort, although they did in the earlier study. Systemic factors and SI predicted boarding status in both cohorts. Suicidal patients continue to board. Limits within the system, including timing of ED presentation and a dearth of specialized services, still exist, elevating the risk of boarding for some populations. Implications for pediatric ED psychiatric care delivery are discussed.

Predictors of perceived male partner concurrency among women at risk for HIV and STI acquisition in Durban, South Africa.

Science.gov (United States)

Gaffoor, Zakir; Wand, Handan; Street, Renée A; Abbai, Nathlee; Ramjee, Gita

2016-01-01

Women in sub-Saharan Africa continue to be at greater risk for HIV acquisition than men. Concurrency, viz. multiple sexual partnerships that overlap over time, has been studied as a possible risk factor for HIV transmission. The aim of this study was to identify predictors of perceived male partner concurrency among sexually active, HIV negative women. Socio-demographic and behavioural data from women enrolled in a biomedical HIV prevention clinical trial were assessed in relation to perceived male partner concurrency using the Chi squared test. Univariate and multivariate logistic regression was performed to assess the independent predictors of perceived male partner concurrency. Kaplan-Meier survival estimates were obtained for HIV and STI incidence in relation to male partner concurrency. A Cox Proportional Hazards model was used to assess the association between perceived male partner concurrency and HIV and STI incidence. The results revealed that 29 % of women reported their male partners to be in concurrent sexual relationships, 22 % reported partners that were not engaging in concurrency, whilst 49 % reported not knowing their partners concurrency status. Older women, having never married, experiencing economic abuse, and women reporting individual concurrency, were found to be significant predictors of perceived male partner concurrency in the studied population. Perceived male partner concurrency was not found to be a significantly associated with incident HIV and STI infections in this analysis. The study provides insight into predictors of perceived male partner concurrency among women at high risk for STI and HIV acquisition. These results may inform the design of behavioural and biomedical interventions, to address the role of multiple sexual partnerships in HIV prevention.

Urinary IgG and α2-Macroglobulin Are Powerful Predictors of Outcome and Responsiveness to Steroids and Cyclophosphamide in Idiopathic Focal Segmental Glomerulosclerosis with Nephrotic Syndrome

Directory of Open Access Journals (Sweden)

Claudio Bazzi

2013-01-01

Full Text Available Objective. To assess whether high-molecular-weight proteins excretion predicts outcome and therapy-responsiveness in patients with FSGS and nephrotic syndrome. Research Design and Methods. Thirty-eight patients measured at biopsy fractional excretion of IgG (FEIgG and urinary α2-macroglobulin/creatinine ratio (α2m/C. Low and high risk groups were defined by cutoffs assessed by ROC analysis. In all patients first-line therapy was with steroids alone or in combination with cyclophosphamide. Results. α2m/C and FEIgG were correlated with segmental sclerosis (r=0.546; r=0.522. Twenty-three patients (61% entered Remission and 9 (24% progressed to ESRD. Comparing low and high risk groups, by univariate analysis remission was predicted by FEIgG (77% versus 25%, P=0.016 and α2m/C (81% versus 17%, P=0.007 and ESRD at best by FEIgG (0% versus 75%, P<0.0001 and α2m/C (4% versus 67%, P<0.0001. By multivariate analysis FEIgG was the only independent predictor of remission and α2m/C the most powerful predictor of ESRD. Low and high risk groups of FEIgG and α2m/C in combination had very high predictive value of sustained remission and ESRD in response to therapy. Conclusions. FEIgG and α2m/C are powerful predictors of outcome and responsiveness to steroids and cyclophosphamide; their predictive value, if validated in prospective studies, may be useful in clinical practice suggesting first-line alternative treatments in high risk patients.

Tumor-stroma ratio(TSR) as a potential novel predictor of prognosis in digestive system cancers: A meta-analysis.

Science.gov (United States)

Zhang, Runjin; Song, Wei; Wang, Kai; Zou, Shubing

2017-09-01

The tumor-stroma ratio (TSR) has been reported as a prognosis predictor in multiple cancers. The aim of this meta-analysis was to investigate the potential value of TSR as a prognostic predictor of cancer in the digestive system. We searched PubMed, Embase, Elsevier and Web of Science. All studies exploring the association of TSR with overall survival (OS) or disease-free survival (DFS), and lymph node metastasis (LNM) were identified. In total, eight studies were eligible for analysis, and they included 1959 patients. Meta-analysis showed that the low TSR in the tumor could predict poor overall survival (OS) in multiple cancers (pooled Hazard Ratio [HR]: 2.15, 95%CI: 1.80-2.57, P<0.00001, fixed effects). For disease-free survival (DFS), low TSR was also a significant predictor (pooled Hazard Ratio [HR]: 2.31, 95%CI: 1.88-2.83, P<0.00001, fixed effects). In addition, low TSR was correlated with tumor stage. The tumor-stroma ratio (TSR) may potentially serve as a poor prognostic predictor for the metastasis and prognosis of cancer. Copyright © 2017. Published by Elsevier B.V.

Inflammatory (B) symptoms are independent predictors of myelosuppression from chemotherapy in Non-Hodgkin Lymphoma (NHL) patients – analysis of data from a British National Lymphoma Investigation phase III trial comparing CHOP to PMitCEBO

International Nuclear Information System (INIS)

Sharma, Rohini; Cunningham, David; Smith, Paul; Robertson, Graham; Dent, Owen; Clarke, Stephen J

2009-01-01

Toxicity from chemotherapy is highly variable, unpredictable and results in substantial morbidity and increased healthcare costs. New predictors of toxicity are required to improve the safety and efficacy of chemotherapy. Inflammatory or B symptoms in lymphoma are associated with elevated plasma inflammatory markers and predict worse treatment response and survival. Recent data suggest that systemic inflammation results in reduced hepatic drug metabolism and increased toxicity from chemotherapy. We investigated whether B symptoms were associated with greater toxicity in patients treated for non-Hodgkin lymphoma (NHL). The British National Lymphoma Investigation compared two chemotherapy regimens in older patients with aggressive NHL. Approximately 50% of patients had B symptoms. Demographic and toxicity data on 664 patients were analysed to identify predictors of toxicity by multivariate analysis, with particular reference to B symptoms. Using univariate analyses, severe (grades 3–4) leucopenia, anaemia, thrombocytopenia, nausea and vomiting and diarrhoea occurred more frequently in patients with B symptoms. The associations between B symptoms and severe leucopenia (OR 1.7, p = 0.005) and anaemia (OR 2.3, p = 0.025) persisted after adjustment for other prognostic factors in multivariate analyses. The use of granulocyte colony stimulating factor reduced neutropenia in patients with both A and B symptoms. For the first time and in a large NHL cohort we have shown that inflammatory symptoms are independent predictors for myelosuppression from chemotherapy. These data will enable improved prognostication for toxicity and provide individualisation of therapy in NHL and other tumours. These findings also create the potential for strategies used prior to chemotherapy aimed at reducing systemic inflammation in order to improve drug metabolism and reduce treatment-related toxicity. ISRCTN98741793

An overview of mortality & predictors of small-cell and non-small cell lung cancer among Saudi patients

Directory of Open Access Journals (Sweden)

Hatim I. Alghamdi

2018-03-01

Full Text Available Lung cancer ranks as the top cancer worldwide in terms of incidence and constitutes a major health problem. About 90% of lung cancer cases are diagnosed at advance stage where treatment is not available. Despite evidence that lung cancer screening improves survival, guidelines for lung cancer screening are still a subject for debate. In Saudi Arabia, only 14% of lung cancers are diagnosed at early stage and researches on survival and its predictors are lacking. This overview analysis was conducted on predictors of lung cancer mortality according to the two major cancer types, small-cell lung cancers (SCLCs and non-small cell lung cancers (NSCLCs in Saudi Arabia. A secondary data analysis was performed on small-cell lung cancers (SCLCs and Non-small cell lung cancers (NSCLCs registered in the Saudi Cancer Registry (SCR for the period 2009–2013 to estimate predictors of mortality for both lung cancer types. A total of 404 cases (197 SCLC and 207 NSCLC were included in the analysis, all Saudi nationals. A total of 213 (52.75% deaths occurred among lung cancer patients, 108 (54.82% among SCLCs and 105 (50.72% among NCSLCs. Three quarter of patients are diagnosis with advance stage for both SCLC & NSCLC. Univariate analysis revealed higher mean age at diagnosis in dead patients compared to alive patients for SCLCs (p = 0.04; but not NSCLCs, a lower mortality for NSCLCs diagnosed in 2013 (p = 0.025 and a significant difference in stage of tumor (p = 0.006 and (p = 0.035 for both SCLC and NSCLC respectively. In multiple logistic regression, stage of tumor was a strong predictor of mortality, where distant metastasis increased morality by 6-fold (OR = 5.87, 95% CI: 2.01 – 17.19 in SCLC and by 3-fold (OR = 3.29, 95% CI: 1.22 – 8.85 in NSCLC, compared to localized tumors. Those with NSCLC who were diagnosed in 2013 were less likely to die by 64% compared to NSCLC diagnosed in 2009 (OR = 0.36, 95% CI: 0.14 – 0.93. Age, sex, topography

An overview of mortality & predictors of small-cell and non-small cell lung cancer among Saudi patients.

Science.gov (United States)

Alghamdi, Hatim I; Alshehri, Ali F; Farhat, Ghada N

2018-03-01

Lung cancer ranks as the top cancer worldwide in terms of incidence and constitutes a major health problem. About 90% of lung cancer cases are diagnosed at advance stage where treatment is not available. Despite evidence that lung cancer screening improves survival, guidelines for lung cancer screening are still a subject for debate. In Saudi Arabia, only 14% of lung cancers are diagnosed at early stage and researches on survival and its predictors are lacking. This overview analysis was conducted on predictors of lung cancer mortality according to the two major cancer types, small-cell lung cancers (SCLCs) and non-small cell lung cancers (NSCLCs) in Saudi Arabia. A secondary data analysis was performed on small-cell lung cancers (SCLCs) and Non-small cell lung cancers (NSCLCs) registered in the Saudi Cancer Registry (SCR) for the period 2009-2013 to estimate predictors of mortality for both lung cancer types. A total of 404 cases (197 SCLC and 207 NSCLC) were included in the analysis, all Saudi nationals. A total of 213 (52.75%) deaths occurred among lung cancer patients, 108 (54.82%) among SCLCs and 105 (50.72%) among NCSLCs. Three quarter of patients are diagnosis with advance stage for both SCLC & NSCLC. Univariate analysis revealed higher mean age at diagnosis in dead patients compared to alive patients for SCLCs (p=0.04); but not NSCLCs, a lower mortality for NSCLCs diagnosed in 2013 (p=0.025) and a significant difference in stage of tumor (p=0.006) and (p=0.035) for both SCLC and NSCLC respectively. In multiple logistic regression, stage of tumor was a strong predictor of mortality, where distant metastasis increased morality by 6-fold (OR=5.87, 95% CI: 2.01 - 17.19) in SCLC and by 3-fold (OR=3.29, 95% CI: 1.22 - 8.85) in NSCLC, compared to localized tumors. Those with NSCLC who were diagnosed in 2013 were less likely to die by 64% compared to NSCLC diagnosed in 2009 (OR=0.36, 95% CI: 0.14 - 0.93). Age, sex, topography and laterality were not associated with

Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model

Directory of Open Access Journals (Sweden)

Erasmo Cadenas

2016-02-01

Full Text Available Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA. This method’s performance is well studied for a large number of prediction problems. The other is a multivariate model developed using a nonlinear autoregressive exogenous artificial neural network (NARX. This uses the variables: barometric pressure, air temperature, wind direction and solar radiation or relative humidity, as well as delayed wind speed. Both models were developed from two databases from two sites: an hourly average measurements database from La Mata, Oaxaca, Mexico, and a ten minute average measurements database from Metepec, Hidalgo, Mexico. The main objective was to compare the impact of the various meteorological variables on the performance of the multivariate model of wind speed prediction with respect to the high performance univariate linear model. The NARX model gave better results with improvements on the ARIMA model of between 5.5% and 10. 6% for the hourly database and of between 2.3% and 12.8% for the ten minute database for mean absolute error and mean squared error, respectively.

R package imputeTestbench to compare imputations methods for univariate time series

OpenAIRE

Bokde, Neeraj; Kulat, Kishore; Beck, Marcus W; Asencio-Cortés, Gualberto

2016-01-01

This paper describes the R package imputeTestbench that provides a testbench for comparing imputation methods for missing data in univariate time series. The imputeTestbench package can be used to simulate the amount and type of missing data in a complete dataset and compare filled data using different imputation methods. The user has the option to simulate missing data by removing observations completely at random or in blocks of different sizes. Several default imputation methods are includ...

An analysis of predictors of enrollment and successful achievement for girls in high school Advanced Placement physics

Science.gov (United States)

Depalma, Darlene M.

A problem within science education in the United States persists. U.S students rank lower in science than most other students from participating countries on international tests of achievement (National Center for Education Statistics, 2003). In addition, U.S. students overall enrollment rate in high school Advanced Placement (AP) physics is still low compared to other academic domains, especially for females. This problem is the background for the purpose of this study. This investigation examined cognitive and motivational variables thought to play a part in the under-representation of females in AP physics. Cognitive variables consisted of mathematics, reading, and science knowledge, as measured by scores on the 10th and 11th grade Florida Comprehensive Assessment Tests (FCAT). The motivational factors of attitude, stereotypical views toward science, self-efficacy, and epistemological beliefs were measured by a questionnaire developed with questions taken from previously proven reliable and valid instruments. A general survey regarding participation in extracurricular activities was also included. The sample included 12th grade students from two high schools located in Seminole County, Florida. Of the 106 participants, 20 girls and 27 boys were enrolled in AP physics, and 39 girls and 20 boys were enrolled in other elective science courses. Differences between males and females enrolled in AP physics were examined, as well as differences between females enrolled in AP physics and females that chose not to participate in AP physics, in order to determine predictors that apply exclusively to female enrollment in high school AP physics and predictors of an anticipated science related college major. Data were first analyzed by Exploratory Factor Analysis, followed by Analysis of Variance (ANOVA), independent t-tests, univariate analysis, and logistic regression analysis. One overall theme that emerged from this research was findings that refute the ideas that

Predictors of Individual Tumor Local Control After Stereotactic Radiosurgery for Non-Small Cell Lung Cancer Brain Metastases

International Nuclear Information System (INIS)

Garsa, Adam A.; Badiyan, Shahed N.; DeWees, Todd; Simpson, Joseph R.; Huang, Jiayi; Drzymala, Robert E.; Barani, Igor J.; Dowling, Joshua L.; Rich, Keith M.; Chicoine, Michael R.; Kim, Albert H.; Leuthardt, Eric C.; Robinson, Clifford G.

2014-01-01

Purpose: To evaluate local control rates and predictors of individual tumor local control for brain metastases from non-small cell lung cancer (NSCLC) treated with stereotactic radiosurgery (SRS). Methods and Materials: Between June 1998 and May 2011, 401 brain metastases in 228 patients were treated with Gamma Knife single-fraction SRS. Local failure was defined as an increase in lesion size after SRS. Local control was estimated using the Kaplan-Meier method. The Cox proportional hazards model was used for univariate and multivariate analysis. Receiver operating characteristic analysis was used to identify an optimal cutpoint for conformality index relative to local control. A P value <.05 was considered statistically significant. Results: Median age was 60 years (range, 27-84 years). There were 66 cerebellar metastases (16%) and 335 supratentorial metastases (84%). The median prescription dose was 20 Gy (range, 14-24 Gy). Median overall survival from time of SRS was 12.1 months. The estimated local control at 12 months was 74%. On multivariate analysis, cerebellar location (hazard ratio [HR] 1.94, P=.009), larger tumor volume (HR 1.09, P<.001), and lower conformality (HR 0.700, P=.044) were significant independent predictors of local failure. Conformality index cutpoints of 1.4-1.9 were predictive of local control, whereas a cutpoint of 1.75 was the most predictive (P=.001). The adjusted Kaplan-Meier 1-year local control for conformality index ≥1.75 was 84% versus 69% for conformality index <1.75, controlling for tumor volume and location. The 1-year adjusted local control for cerebellar lesions was 60%, compared with 77% for supratentorial lesions, controlling for tumor volume and conformality index. Conclusions: Cerebellar tumor location, lower conformality index, and larger tumor volume were significant independent predictors of local failure after SRS for brain metastases from NSCLC. These results warrant further investigation in a prospective

Organ Donation in Switzerland - An Analysis of Factors Associated with Consent Rate

Science.gov (United States)

Keel, Isabelle; Immer, Franz F.; Jüni, Peter

2014-01-01

Background and Aim Switzerland has a low post mortem organ donation rate. Here we examine variables that are associated with the consent of the deceased’s next of kin (NOK) for organ donation, which is a prerequisite for donation in Switzerland. Methods and Analysis During one year, we registered information from NOK of all deceased patients in Swiss intensive care units, who were approached for consent to organ donation. We collected data on patient demographics, characteristics of NOK, factors related to the request process and to the clinical setting. We analyzed the association of collected predictors with consent rate using univariable logistic regression models; predictors with p-values donation, and respecting personal values and cultural differences, could be of importance for increasing donation rates. Additional measures are needed to address the pronounced differences in consent rates between language regions. PMID:25208215

Clinical outcome and predictors of survival and pneumonitis after stereotactic ablative radiotherapy for stage I non-small cell lung cancer

Directory of Open Access Journals (Sweden)

Chang Joe Y

2012-09-01

Full Text Available Abstract Background Stereotactic ablative radiotherapy (SABR can achieve excellent local control rates in early-stage non-small cell lung cancer (NSCLC and has emerged as a standard treatment option for patients who cannot undergo surgery or those with isolated recurrences. However, factors that may predict toxicity or survival are largely unknown. We sought here to identify predictors of survival and pneumonitis after SABR for NSCLC in a relatively large single-institution series. Methods Subjects were 130 patients with stage I NSCLC treated with four-dimensional computed tomography (4D CT –planned, on-board volumetric image–guided SABR to 50 Gy in 4 fractions. Disease was staged by positron emission tomography/computed tomography (PET/CT and scans were obtained again at the second follow-up after SABR. Results At a median follow-up time of 26 months, the 2-year local control rate was 98.5%. The median overall survival (OS time was 60 months, and OS rates were 93.0% at 1 year, 78.2% at 2 years, and 65.3% at 3 years. No patient experienced grade 4–5 toxicity; 15 had radiation pneumonitis (12 [9.3%] grade 2 and 3 [2.3%] grade 3. Performance status, standardized uptake value (SUVmax on staging PET/CT, tumor histology, and disease operability were associated with OS on univariate analysis, but only staging SUVmax was independently predictive on multivariate analysis (P = 0.034. Dosimetric factors were associated with radiation pneumonitis on univariate analysis, but only mean ipsilateral lung dose ≥9.14 Gy was significant on multivariate analysis (P = 0.005. Conclusions OS and radiation pneumonitis after SABR for stage I NSCLC can be predicted by staging PET SUVmax and ipsilateral mean lung dose, respectively.

Retrospective analysis of 56 edentulous dental arches restored with 344 single-stage implants using an immediate loading fixed provisional protocol: statistical predictors of implant failure.

Science.gov (United States)

Kinsel, Richard P; Liss, Mindy

2007-01-01

The purpose of this retrospective study was to evaluate the effects of implant dimensions, surface treatment, location in the dental arch, numbers of supporting implant abutments, surgical technique, and generally recognized risk factors on the survival of a series of single-stage Straumann dental implants placed into edentulous arches using an immediate loading protocol. Each patient received between 4 and 18 implants in one or both dental arches. Periapical radiographs were obtained over a 2- to 10-year follow-up period to evaluate crestal bone loss following insertion of the definitive metal-ceramic fixed prostheses. Univariate tests for failure rates as a function of age ( or = 60 years), gender, smoking, bone grafting, dental arch, surface type, anterior versus posterior, number of implants per arch, and surgical technique were made using Fisher exact tests. The Cochran-Armitage test for trend was used to evaluate the presence of a linear trend in failure rates regarding implant length and implant diameter. Logistic regression modeling was used to determine which, if any, of the aforementioned factors would predict patient and implant failure. A significance criterion of P = .05 was utilized. Data were collected for 344 single-stage implants placed into 56 edentulous arches (39 maxillae and 17 mandibles) of 43 patients and immediately loaded with a 1-piece provisional fixed prosthesis. A total of 16 implants failed to successfully integrate, for a survival rate of 95.3%. Increased rates of failure were associated with reduced implant length, placement in the posterior region of the jaw, increased implant diameter, and surface treatment. Implant length emerged as the sole significant predictor of implant failure. In this retrospective analysis of 56 consecutively treated edentulous arches with multiple single-stage dental implants loaded immediately, reduced implant length was the sole significant predictor of failure.

A Single-Institution Analysis of 126 Patients Treated with Stereotactic Radiosurgery for Brain Metastases

Directory of Open Access Journals (Sweden)

Kevin B. Harris

2017-05-01

Full Text Available BackgroundThe objective of this study was to report our institutional experience with Gamma Knife® Radiosurgery (GKRS in the treatment of patients with brain metastases.MethodsRetrospectively collected demographic and clinical data on 126 patients with intracranial metastases were reviewed. The patients in our study underwent GKRS at Vidant Medical Center between 2009 and 2014. Kaplan–Meier curves were used to compare survival based on clinical characteristics for univariate analysis, and a Cox proportional hazards model was used for multivariate analysis.ResultsThe median age of the patient population was 62 years. Medicare patients constituted 51% of our patient cohort and Medicaid patients 15%. The most common tumor histologies were non-small cell lung cancer (50%, breast cancer (12.7%, and melanoma (11.9%. The median overall survival time for all patients was 5.8 months. Patients with breast cancer had the longest median survival time of 9.15 months, while patients with melanoma had the shortest median survival time of 2.86 months. On univariate analysis, the following factors were predictors for improved overall survival, ECOG score 0 or 1 vs. 2 or greater (17.0 vs. 1.8 months, p < 0.001, controlled extracranial disease vs. progressive extracranial disease (17.4 vs. 4.6 months, p = 0.0001, recursive partitioning analysis Stage I vs. II–III (18.2 vs. 6.2 months, p < 0.007, multiple GKRS treatments (p = 0.002, prior brain metastasectomy (p = 0.012, and prior chemotherapy (p = 0.021. Age, ethnicity, gender, previous external beam radiation therapy, number of brain metastases, and hemorrhagic vs. non-hemorrhagic tumors were not predictors of longer median survival time. Number of metastatic brain lesions of 1–3 vs. ≥4 (p = 0.051 and insurance status of Medicare/Medicaid vs. commercial insurance approached significance (13.7 vs. 6.8 months, p = 0.08. On multivariate analysis, ECOG

Exploring predictors of scientific performance with decision tree analysis: The case of research excellence in early career mathematics

Energy Technology Data Exchange (ETDEWEB)

Lindahl, J.

2016-07-01

The purpose of this study was (1) to introduce the exploratory method of decision tree analysis as a complementary alternative to current confirmatory methods used in scientometric prediction studies of research performance; and (2) as an illustrative case, to explore predictors of future research excellence at the individual level among 493 early career mathematicians in the sub-field of number theory between 1999 and 2010. A conceptual introduction to decision tree analysis is provided including an overview of the main steps of the tree-building algorithm and the statistical method of cross-validation used to evaluate the performance of decision tree models. A decision tree analysis of 493 mathematicians was conducted to find useful predictors and important relationships between variables in the context of predicting research excellence. The results suggest that the number of prestige journal publications and a topically diverse output are important predictors of future research excellence. Researchers with no prestige journal publications are very unlikely to produce excellent research. Limitations of decision three analysis are discussed. (Author)

Multiple predictor smoothing methods for sensitivity analysis: Example results

International Nuclear Information System (INIS)

Storlie, Curtis B.; Helton, Jon C.

2008-01-01

The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described in the first part of this presentation: (i) locally weighted regression (LOESS), (ii) additive models, (iii) projection pursuit regression, and (iv) recursive partitioning regression. In this, the second and concluding part of the presentation, the indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present

Hepatorenal Syndrome: Outcome of Response to Therapy and Predictors of Survival

Directory of Open Access Journals (Sweden)

Jan Heidemann

2015-01-01

Full Text Available Aim. Treatment of hepatorenal syndrome (HRS in patients with liver cirrhosis is still challenging and characterized by a very high mortality. This study aimed to delineate treatment patterns and clinical outcomes of patients with HRS intravenously treated with terlipressin. Methods. In this retrospective single-center cohort study, 119 patients (median [IQR]; 56.50 [50.75–63.00] years of age with HRS were included. All patients were treated with terlipressin and human albumin intravenously. Those with response to treatment (n=65 were compared to the patient cohort without improvement (n=54. Patient characteristics and clinical parameters (Child stage, ascites, hepatic encephalopathy, HRS type I/II, and initial MELD score were retrieved. Univariate analysis of factors influencing the success of terlipressin therapy and Cox regression analysis of factors influencing survival was carried out. Results. One-month survival was significantly longer in the group of responders (p=0.048. Cox regression analysis identified age [Hazard ratio, 95% confidence interval (CI; 1.05, 1.01–1.09, resp.], alcohol abuse [HR 3.05, 95% CI 1.11–8.38], duration of treatment [HR 0.92, 95% CI 0.88–0.96], and MELD score [HR 1.08, 95% CI 1.02–1.14] to be independent predictors of survival. Conclusions. Survival of HRS patients after treatment depends on age, etiology of liver disease, and the duration of treatment.

Predictors of functional dependency after stroke in Nigeria.

Science.gov (United States)

Ojagbemi, Akin; Owolabi, Mayowa

2013-11-01

The factors impacting poststroke functional dependency have not been adequately explored in sub-Saharan Africa. This study examined the risk factors for functional dependency in a group of Nigerian African stroke survivors. One hundred twenty-eight stroke survivors attending a tertiary general hospital in southwestern Nigeria were consecutively recruited and assessed for functional dependency using the modified Rankin Scale (mRS). Stroke was diagnosed according to the World Health Organization criteria. Candidate independent variables assessed included the demographic and clinical characteristics of survivors, cognitive dysfunction, and a diagnosis of major depressive disorder. Variables with significant relationship to functional dependency were entered into a logistic regression model to identify factors that were predictive of functional dependency among the stroke survivors. In all, 60.9% of the stroke survivors were functionally dependent (mRS scores≥3), with mean±SD mRS scores of 2.71±1.01. Female sex (P=.003; odds ratio [OR] 3.08; 95% confidence interval [CI] 1.47-6.44), global cognitive dysfunction (P=.002; OR 5.04; 95% CI 1.79-14.16), and major depressive disorder (Pdependency in univariate analysis. Major depressive disorder was an independent predictor of functional dependency in multivariate analysis (P<.0001; OR 6.89; 95% CI 2.55-18.6; R2=0.19). Depression, female sex, and cognitive dysfunction were strongly associated with poorer functioning after stroke. Interventions aimed at depression and cognitive dysfunction after stroke may improve functional independence in stroke survivors. Copyright © 2013 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors.

Science.gov (United States)

Allan, Louise M; Rowan, Elise N; Thomas, Alan J; Polvikoski, Tuomo M; O'Brien, John T; Kalaria, Raj N

2013-12-01

Depression is common and an important consequence of stroke but there is limited information on the longer-term relationship between these conditions. To identify the prevalence, incidence and predictors of depression in a secondary-care-based cohort of stroke survivors aged over 75 years, from 3 months to up to 10 years post-stroke. Depression was assessed annually by three methods: major depression by DSM-IV criteria, the self-rated Geriatric Depression Scale (GDS) and the observer-rated Cornell scale. We found the highest rates, 31.7% baseline prevalence, of depressive symptoms with the GDS compared with 9.7% using the Cornell scale and 1.2% using DSM-IV criteria. Incidence rates were 36.9, 5.90 and 4.18 episodes per 100 person years respectively. Baseline GDS score was the most consistent predictor of depressive symptoms at all time points in both univariate and multivariate analyses. Other predictors included cognitive impairment, impaired activities of daily living and in the early period, vascular risk factor burden and dementia. Our results emphasise the importance of psychiatric follow-up for those with early-onset post-stroke depression and long-term monitoring of mood in people who have had a stroke and remain at high risk of depression.

Outcomes for Spine Stereotactic Body Radiation Therapy and an Analysis of Predictors of Local Recurrence

International Nuclear Information System (INIS)

Bishop, Andrew J.; Tao, Randa; Rebueno, Neal C.; Christensen, Eva N.; Allen, Pamela K.; Wang, Xin A.; Amini, Behrang; Tannir, Nizar M.; Tatsui, Claudio E.; Rhines, Laurence D.; Li, Jing; Chang, Eric L.; Brown, Paul D.; Ghia, Amol J.

2015-01-01

Purpose: To investigate local control, survival outcomes, and predictors of local relapse for patients treated with spine stereotactic body radiation therapy. Methods and Materials: We reviewed the records of 332 spinal metastases consecutively treated with stereotactic body radiation therapy between 2002 and 2012. The median follow-up for all living patients was 33 months (range, 0-111 months). Endpoints were overall survival and local control (LC); recurrences were classified as either in-field or marginal. Results: The 1-year actuarial LC and overall survival rates were 88% and 64%, respectively. Patients with local relapses had poorer dosimetric coverage of the gross tumor volume (GTV) compared with patients without recurrence (minimum dose [Dmin] biologically equivalent dose [BED] 23.9 vs 35.1 Gy, P<.001; D98 BED 41.8 vs 48.1 Gy, P=.001; D95 BED 47.2 vs 50.5 Gy, P=.004). Furthermore, patients with marginal recurrences had poorer prescription coverage of the GTV (86% vs 93%, P=.01) compared with those with in-field recurrences, potentially because of more upfront spinal canal disease (78% vs 24%, P=.001). Using a Cox regression univariate analysis, patients with a GTV BED Dmin ≥33.4 Gy (median dose) (equivalent to 14 Gy in 1 fraction) had a significantly higher 1-year LC rate (94% vs 80%, P=.001) compared with patients with a lower GTV BED Dmin; this factor was the only significant variable on multivariate Cox analysis associated with LC (P=.001, hazard ratio 0.29, 95% confidence interval 0.14-0.60) and also was the only variable significant in a separate competing risk multivariate model (P=.001, hazard ratio 0.30, 95% confidence interval 0.15-0.62). Conclusions: Stereotactic body radiation therapy offers durable control for spinal metastases, but there is a subset of patients that recur locally. Patients with local relapse had significantly poorer tumor coverage, which was likely attributable to treatment planning directives that prioritized the

Outcomes for Spine Stereotactic Body Radiation Therapy and an Analysis of Predictors of Local Recurrence

Energy Technology Data Exchange (ETDEWEB)

Bishop, Andrew J.; Tao, Randa [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Rebueno, Neal C. [Department of Radiation Dosimetry, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Christensen, Eva N.; Allen, Pamela K. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Wang, Xin A. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Amini, Behrang [Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Tannir, Nizar M. [Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Tatsui, Claudio E.; Rhines, Laurence D. [Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Li, Jing [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Chang, Eric L. [Department of Radiation Oncology, USC Norris Cancer Hospital, Keck School of Medicine of USC, Los Angeles, California (United States); Brown, Paul D. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Ghia, Amol J., E-mail: ajghia@mdanderson.org [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

2015-08-01

Purpose: To investigate local control, survival outcomes, and predictors of local relapse for patients treated with spine stereotactic body radiation therapy. Methods and Materials: We reviewed the records of 332 spinal metastases consecutively treated with stereotactic body radiation therapy between 2002 and 2012. The median follow-up for all living patients was 33 months (range, 0-111 months). Endpoints were overall survival and local control (LC); recurrences were classified as either in-field or marginal. Results: The 1-year actuarial LC and overall survival rates were 88% and 64%, respectively. Patients with local relapses had poorer dosimetric coverage of the gross tumor volume (GTV) compared with patients without recurrence (minimum dose [Dmin] biologically equivalent dose [BED] 23.9 vs 35.1 Gy, P<.001; D98 BED 41.8 vs 48.1 Gy, P=.001; D95 BED 47.2 vs 50.5 Gy, P=.004). Furthermore, patients with marginal recurrences had poorer prescription coverage of the GTV (86% vs 93%, P=.01) compared with those with in-field recurrences, potentially because of more upfront spinal canal disease (78% vs 24%, P=.001). Using a Cox regression univariate analysis, patients with a GTV BED Dmin ≥33.4 Gy (median dose) (equivalent to 14 Gy in 1 fraction) had a significantly higher 1-year LC rate (94% vs 80%, P=.001) compared with patients with a lower GTV BED Dmin; this factor was the only significant variable on multivariate Cox analysis associated with LC (P=.001, hazard ratio 0.29, 95% confidence interval 0.14-0.60) and also was the only variable significant in a separate competing risk multivariate model (P=.001, hazard ratio 0.30, 95% confidence interval 0.15-0.62). Conclusions: Stereotactic body radiation therapy offers durable control for spinal metastases, but there is a subset of patients that recur locally. Patients with local relapse had significantly poorer tumor coverage, which was likely attributable to treatment planning directives that prioritized the

Is the prognostic significance of O6-methylguanine- DNA methyltransferase promoter methylation equally important in glioblastomas of patients from different continents? A systematic review with meta-analysis.

Science.gov (United States)

Meng, Wei; Jiang, Yangyang; Ma, Jie

2017-01-01

O6-methylguanine-DNA methyltransferase (MGMT) is an independent predictor of therapeutic response and potential prognosis in patients with glioblastoma multiforme (GBM). However, its significance of clinical prognosis in different continents still needs to be explored. To explore the effects of MGMT promoter methylation on both progression-free survival (PFS) and overall survival (OS) among GBM patients from different continents, a systematic review of published studies was conducted. A total of 5103 patients from 53 studies were involved in the systematic review and the total percentage of MGMT promoter methylation was 45.53%. Of these studies, 16 studies performed univariate analyses and 17 performed multivariate analyses of MGMT promoter methylation on PFS. The pooled hazard ratio (HR) estimated for PFS was 0.55 (95% CI 0.50, 0.60) by univariate analysis and 0.43 (95% CI 0.38, 0.48) by multivariate analysis. The effect of MGMT promoter methylation on OS was explored in 30 studies by univariate analysis and in 30 studies by multivariate analysis. The combined HR was 0.48 (95% CI 0.44, 0.52) and 0.42 (95% CI 0.38, 0.45), respectively. In each subgroup divided by areas, the prognostic significance still remained highly significant. The proportion of methylation in each group was in inverse proportion to the corresponding HR in the univariate and multivariate analyses of PFS. However, from the perspective of OS, compared with data from Europe and the US, higher methylation rates in Asia did not bring better returns.

QRS complex detection based on continuous density hidden Markov models using univariate observations

Science.gov (United States)

Sotelo, S.; Arenas, W.; Altuve, M.

2018-04-01

In the electrocardiogram (ECG), the detection of QRS complexes is a fundamental step in the ECG signal processing chain since it allows the determination of other characteristics waves of the ECG and provides information about heart rate variability. In this work, an automatic QRS complex detector based on continuous density hidden Markov models (HMM) is proposed. HMM were trained using univariate observation sequences taken either from QRS complexes or their derivatives. The detection approach is based on the log-likelihood comparison of the observation sequence with a fixed threshold. A sliding window was used to obtain the observation sequence to be evaluated by the model. The threshold was optimized by receiver operating characteristic curves. Sensitivity (Sen), specificity (Spc) and F1 score were used to evaluate the detection performance. The approach was validated using ECG recordings from the MIT-BIH Arrhythmia database. A 6-fold cross-validation shows that the best detection performance was achieved with 2 states HMM trained with QRS complexes sequences (Sen = 0.668, Spc = 0.360 and F1 = 0.309). We concluded that these univariate sequences provide enough information to characterize the QRS complex dynamics from HMM. Future works are directed to the use of multivariate observations to increase the detection performance.

Predictors of Shunt-dependent Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage? A Systematic Review and Meta-Analysis.

Science.gov (United States)

Xie, Zhiyi; Hu, Xin; Zan, Xin; Lin, Sen; Li, Hao; You, Chao

2017-10-01

Hydrocephalus is a well-recognized complication after aneurysmal subarachnoid hemorrhage (aSAH). This study aimed to identify predictors for shunt-dependent hydrocephalus (SDHC) after aSAH via a systematic review and meta-analysis. A systematic search was conducted using the Embase, MEDLINE, and Web of Science databases for studies pertaining to aSAH and SDHC. Risk factors were assessed by meta-analysis when they were reported by at least 2 studies. The results were presented as odd ratios or risk ratios according to the study design with the corresponding 95% confidence intervals (CI). Twenty-five studies were included. In primary analysis of 14 potential risk factors, 12 were identified as predictors of SDHC after aSAH including age ≥50 years, female gender, high Hunt-Hess grade, Glasgow Coma Scale ≤8, Fisher grade ≥3, acute hydrocephalus, external ventricular drainage insertion, intraventricular hemorrhage, postcirculation aneurysm, anterior communicating artery aneurysm, meningitis, and rebleeding. The meta-analysis based on cohort studies found a significantly increased risk for SDHC in patients with aSAH treated by coiling (risk ratio, 1.16; 95% CI, 1.05-1.29), while the meta-analysis based on case-controlled studies failed to replicate this finding (odds ratio, 1.27; 95% CI, 0.95-1.71). Several new predictors of SDHC after aSAH were identified that may assist with the early recognition and prevention of SDHC. The controversial evidence found in this study was insufficient to support the potential of neurosurgical clipping for reducing the risk of shunt dependency. Further well-designed studies are warranted to explore the effect of treatment modality on SDHC risk. Copyright © 2017 Elsevier Inc. All rights reserved.

Male gender and renal dysfunction are predictors of adverse outcome in nonpostoperative ischemic colitis patients.

Science.gov (United States)

Lee, Tsung-Chun; Wang, Hsiu-Po; Chiu, Han-Mo; Lien, Wan-Ching; Chen, Mei-Jyh; Yu, Linda C H; Sun, Chia-Tung; Lin, Jaw-Town; Wu, Ming-Shiang

2010-01-01

Ischemic colitis (IC) spans a broad spectrum from self-limiting illness to intestinal gangrene and mortality. Prognostic factors specifically for nonpostoperative IC were not fully characterized. We aim to focus on nonpostoperative IC in patients with renal dysfunction and try to identify prognostic factors for adverse outcomes. We conducted a retrospective analysis at a university-affiliated tertiary medical center in Taiwan. From January 2003 to August 2008, 25 men and 52 women (mean age: 66 y) had colonoscopic biopsy-proven IC without prior culprit surgery. We estimated glomerular filtration rate with simplified Modification of Diet in Renal Disease equation. Nine patients with glomerular filtration rate below 30 mL per minute per 1.73 m were classified as renal dysfunction group (including 7 dialysis patients). Adverse outcomes were defined as need for surgery and mortality. Predictors for adverse outcomes were captured by univariate and multivariate analysis. Research ethical committee approved the study protocol. Patients with renal dysfunction more often had: diabetes mellitus (56% vs. 16%, P=0.02), prolonged symptoms (6.8 d vs. 3.5 d, P=0.01), lower hemoglobin (11.1 g/dL vs. 13.4 g/dL, P=0.01), and more often right colonic involvement (56% vs. 19%, P=0.03). Renal dysfunction patients also had longer hospitalization days (median 15 d vs. 4 d, P=0.045). However, there was no statistical significance in the rate of either surgery or mortality between these 2 groups (P>0.05). Univariate analysis showed that renal dysfunction, sex, emergency department referral, presentation with abdominal pain were significant for adverse outcome (P<0.1). Multivariate analysis revealed that male sex conveyed 9.5-fold risk (P=0.01) and renal dysfunction conveyed 8.5-fold risk (P=0.03) for adverse outcomes. Nonpostoperative IC patients with concurrent renal dysfunction had distinct clinical profiles. Multivariate analysis showed that male patients had 9.5-fold and renal

Predictors of major postoperative cardiac complications in a surgical ICU.

Science.gov (United States)

Maia, Paula C; Abelha, Fernando J

2008-03-01

Cardiovascular complications are associated with increased mortality and morbidity during the postoperative period, resulting in longer hospital stay and higher treatment costs. The aim of this study was to identify predictors of major postoperative cardiac complications. 187 patients undergoing noncardiac surgery, admitted to a surgical intensive care unit (ICU) between November 2004 and April 2005. Variables recorded were age, gender, American Society of Anesthesiologists (ASA) physical status, type and magnitude of surgery, mortality, ICU and hospital length of stay (LOS), Simplified Acute Physiology Score II (SAPS II), cardiac troponin I (cTnI) at postoperative day 0, 1, 2 and 3, history of hypertension, hyperlipidemia, Revised Cardiac Risk Index (RCRI) score, major cardiac events (MCE): acute myocardial infarction (AMI), pulmonary edema (PE), ventricular fibrillation (VF) or primary cardiac arrest (PCA). Correlations between variables and MCE were made by univariate analysis by simple logistic regression with odds ratio (OR) and 95% confidence interval (95% CI). Total of 14 MCE: 9 AMI, 1 VF, 4 PE. Significant risk factors for MCE were high-risk surgery (OR 8.26, 95% CI 1.76-38.85, p = 0.008), RCRI > or = 2 (OR 4.0, 95% CI 1.22-13.16, p = 0.022), admission cTnI (OR 1.46, 95% CI 1.07-1.99, p = 0.018); day 1 cTnI (OR 1.75, 95% CI 1.27-2.41, p = 0.001); day 2 cTnI (OR 2.23, 95% CI 1.24-3.98, p = 0.007), SAPS II (OR 1.08, 95% CI 1.04-1.12, p or = 2, cTnI levels and SAPS II were predictors of postoperative MCE. Patients with MCE had longer ICU stay and higher mortality rate.

Predictors of psychological resilience amongst medical students following major earthquakes.

Science.gov (United States)

Carter, Frances; Bell, Caroline; Ali, Anthony; McKenzie, Janice; Boden, Joseph M; Wilkinson, Timothy; Bell, Caroline

2016-05-06

To identify predictors of self-reported psychological resilience amongst medical students following major earthquakes in Canterbury in 2010 and 2011. Two hundred and fifty-three medical students from the Christchurch campus, University of Otago, were invited to participate in an electronic survey seven months following the most severe earthquake. Students completed the Connor-Davidson Resilience Scale, the Depression, Anxiety and Stress Scale, the Post-traumatic Disorder Checklist, the Work and Adjustment Scale, and the Eysenck Personality Questionnaire. Likert scales and other questions were also used to assess a range of variables including demographic and historical variables (eg, self-rated resilience prior to the earthquakes), plus the impacts of the earthquakes. The response rate was 78%. Univariate analyses identified multiple variables that were significantly associated with higher resilience. Multiple linear regression analyses produced a fitted model that was able to explain 35% of the variance in resilience scores. The best predictors of higher resilience were: retrospectively-rated personality prior to the earthquakes (higher extroversion and lower neuroticism); higher self-rated resilience prior to the earthquakes; not being exposed to the most severe earthquake; and less psychological distress following the earthquakes. Psychological resilience amongst medical students following major earthquakes was able to be predicted to a moderate extent.

Predictors of depressive symptoms in older Japanese primiparas at 1 month post-partum: A risk-stratified analysis.

Science.gov (United States)

Iwata, Hiroko; Mori, Emi; Tsuchiya, Miyako; Sakajo, Akiko; Maehara, Kunie; Ozawa, Harumi; Morita, Akiko; Maekawa, Tomoko; Aoki, Kyoko; Tamakoshi, Koji

2016-01-01

Older maternal age has become more common in Japan. Studies suggest that older maternal age and primiparity are associated with post-partum depression. The present study aimed to identify predictors of post-partum depression in older Japanese primiparas at 1 month post-partum. Participants were 479 primiparas aged 35 years and over, drawn from a prospective cohort study. Data were collected using self-report questionnaires. Depression was measured with the Japanese version of the Edinburgh Postnatal Depression Scale. Stepwise logistic regression analysis was conducted on binary outcome variables of depression at 1 month post-partum, along with a stratified analysis based on the risk status of depression. Five predictors were identified: (i) the depression score during hospital stay; (ii) financial burden; (iii) dissatisfaction with appraisal support; (iv) physical burden in daily life; and (v) concerns about infant caretaking. Stratified analysis identified dissatisfaction with instrumental support in the low-risk group, and the Child-care Value Scale score as unique predictors in the high-risk group. These results highlight the importance of early assessment of depressive symptoms and the provision of continuous care. © 2015 Japan Academy of Nursing Science.

FDG PET as a prognostic predictor in the early post-therapeutic evaluation for unresectable hepatocellular carcinoma

Energy Technology Data Exchange (ETDEWEB)

Higashi, Tatsuya; Nishii, Ryuichi [Shiga Medical Center Research Institute, Moriyama City, Shiga (Japan); Hatano, Etsuro; Ikai, Iwao; Seo, Satoru; Kitamura, Koji; Takada, Yasuji; Kamimoto, Shinji [Kyoto University Graduate School of Medicine, Department of Gastroenterological Surgery, Sakyo-ku, Kyoto (Japan); Nakamoto, Yuji; Ishizu, Koichi; Suga, Tsuyoshi; Kawashima, Hidekazu; Togashi, Kaori [Kyoto University Graduate School of Medicine, Department of Diagnostic Imaging and Nuclear Medicine, Sakyo-ku, Kyoto (Japan)

2010-03-15

To elucidate the prognostic role of post-therapeutic {sup 18}F-fluorodeoxyglucose ({sup 18}F-FDG) positron emission tomography (PET), we conducted a retrospective cohort study analysing the clinical factors that affect overall survival after non-operative therapy for unresectable hepatocellular carcinoma (HCC). Sixty-seven cases with unresectable HCC who received non-operative therapy (transcatheter arterial chemoembolization: n=24, transcatheter arterial infusion chemotherapy: n=31, radiofrequency ablation: n = 5 or systemic chemotherapy: n = 7) and had received FDG PET for the evaluation of the therapeutic effect within 1 month after the end of the therapy were evaluated. Overall survival rate was evaluated using the univariate and multivariate analyses of relevant clinical and laboratory parameters before and after therapy, including visual PET analysis and quantitative analysis using maximum standardized uptake value (SUV). Visual PET diagnosis of post-therapeutic lesions was a good predictor of overall survival of unresectable HCC patients. The low FDG group showed significantly longer survival (average: 608 days) than that (average: 328 days) of the high FDG group (p<0.0001). Multivariate analysis showed four significant prognostic factors for the survival: post-therapeutic alpha-fetoprotein ({alpha}FP) level (=400 ng/ml, p=0.004), post-therapeutic visual PET diagnosis (p=0.006), post-therapeutic clinical stage (UICC stage IV, p=0.04) and post-therapeutic Milan criteria (p=0.03), while pre-therapeutic clinical factors, SUV by post-therapeutic FDG PET (5.0 or more) or others did not show significance. The present study suggests that post-therapeutic PET performed within 1 month after non-operative therapy can be a good predictor of overall survival in unresectable HCC patients, while pre-therapeutic evaluation including PET, tumour markers and clinical staging may not be useful. (orig.)

Predictors of radiation exposure to providers during percutaneous nephrolithotomy

Science.gov (United States)

Wenzler, David L.; Abbott, Joel E.; Su, Jeannie J.; Shi, William; Slater, Richard; Miller, Daniel; Siemens, Michelle J.; Sur, Roger L.

2017-01-01

Background: Limited studies have reported on radiation risks of increased ionizing radiation exposure to medical personnel in the urologic community. Fluoroscopy is readily used in many urologic surgical procedures. The aim of this study was to determine radiation exposure to all operating room personnel during percutaneous nephrolithotomy (PNL), commonly performed for large renal or complex stones. Materials and Methods: We prospectively collected personnel exposure data for all PNL cases at two academic institutions. This was collected using the Instadose™ dosimeter and reported both continuously and categorically as high and low dose using a 10 mrem dose threshold, the approximate amount of radiation received from one single chest X-ray. Predictors of increased radiation exposure were determined using multivariate analysis. Results: A total of 91 PNL cases in 66 patients were reviewed. Median surgery duration and fluoroscopy time were 142 (38–368) min and 263 (19–1809) sec, respectively. Median attending urologist, urology resident, anesthesia, and nurse radiation exposure per case was 4 (0–111), 4 (0–21), 0 (0–5), and 0 (0–5) mrem, respectively. On univariate analysis, stone area, partial or staghorn calculi, surgery duration, and fluoroscopy time were associated with high attending urologist and resident radiation exposure. Preexisting access that was utilized was negatively associated with resident radiation exposure. However, on multivariate analysis, only fluoroscopy duration remained significant for attending urologist radiation exposure. Conclusion: Increased stone burden, partial or staghorn calculi, surgery and fluoroscopy duration, and absence of preexisting access were associated with high provider radiation exposure. Radiation safety awareness is essential to minimize exposure and to protect the patient and all providers from potential radiation injury. PMID:28216931

Multiple predictor smoothing methods for sensitivity analysis: Description of techniques

International Nuclear Information System (INIS)

Storlie, Curtis B.; Helton, Jon C.

2008-01-01

The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described: (i) locally weighted regression (LOESS), (ii) additive models, (iii) projection pursuit regression, and (iv) recursive partitioning regression. Then, in the second and concluding part of this presentation, the indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present

MULTIVARIANT AND UNIVARIANT INTERGROUP DIFFERENCES IN THE INVESTIGATED SPECIFIC MOTOR SPACE BETWEEN RESPONDENTS JUNIORS AND SENIORS MEMBERS OF THE MACEDONIAN NATIONAL KARATE TEAM

Directory of Open Access Journals (Sweden)

Kеnan Аsani

2013-07-01

Full Text Available The aim is to establish intergroup multivariant and univariant investigated differences in specific motor space between respondents juniors and seniors members of the Macedonian karate team. The sample of 30 male karate respondents covers juniors on 16,17 and seniors over 18 years.In the research were applied 20 specific motor tests. Based on Graph 1 where it is presented multivariant analysis of variance Manova and Anova can be noted that respondents juniors and seniors, although not belonging to the same population are not different in multivariant understudied area.W. lambda of .19, Rao-wool R - Approximation of 1.91 degrees of freedom df 1 = 20 and df 2 = 9 provides the level of significance of p =, 16. Based on univariant analysis for each variable separately can be seen that has been around intergroup statistically significant difference in seven SMAEGERI (kick in the sack with favoritism leg mae geri for 10 sec., SMAVASI (kick in the sack with favoritism foot mavashi geri by 10 sec., SUSIRO (kick in the sack with favoritism leg ushiro geri for 10 sec., SKIZAME (kick in the sack with favoritism hand kizame cuki for 10 sec., STAPNSR (taping with foot in sagital plane for 15 sec. SUDMNR (hitting a moving target with weaker hand and SUDMPN (hitting a moving target with favoritism foot of twenty applied manifest variables. There are no intergroup differences in multivariant investigated specific - motor space among the respondents juniors and seniors members of the Macedonian karate team. Based on univariant analysis for each variable separately can be seen that has been around intergroup statistically significant difference in seven SMAEGERI (kick in the sack with favoritism leg mae geri for 10 sec., SMAVASI (kick in the sack with favoritism foot mavashi geri by 10 sec., SUSIRO (kick in the sack with favoritism leg ushiro geri for 10 sec., SKIZAME (kick in the sack with favoritism hand kizame cuki for 10 sec., STAPNSR (taping with foot in

Visual classification of very fine-grained sediments: Evaluation through univariate and multivariate statistics

Science.gov (United States)

Hohn, M. Ed; Nuhfer, E.B.; Vinopal, R.J.; Klanderman, D.S.

1980-01-01

Classifying very fine-grained rocks through fabric elements provides information about depositional environments, but is subject to the biases of visual taxonomy. To evaluate the statistical significance of an empirical classification of very fine-grained rocks, samples from Devonian shales in four cored wells in West Virginia and Virginia were measured for 15 variables: quartz, illite, pyrite and expandable clays determined by X-ray diffraction; total sulfur, organic content, inorganic carbon, matrix density, bulk density, porosity, silt, as well as density, sonic travel time, resistivity, and ??-ray response measured from well logs. The four lithologic types comprised: (1) sharply banded shale, (2) thinly laminated shale, (3) lenticularly laminated shale, and (4) nonbanded shale. Univariate and multivariate analyses of variance showed that the lithologic classification reflects significant differences for the variables measured, difference that can be detected independently of stratigraphic effects. Little-known statistical methods found useful in this work included: the multivariate analysis of variance with more than one effect, simultaneous plotting of samples and variables on canonical variates, and the use of parametric ANOVA and MANOVA on ranked data. ?? 1980 Plenum Publishing Corporation.

Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.

Directory of Open Access Journals (Sweden)

Jan-Patrick Stellmann

Full Text Available BACKGROUND: Annualized relapse rates (ARR in the placebo cohorts of phase-3 randomized controlled trials (RCT of new treatments for relapsing remitting multiple sclerosis (RRMS have decreased substantially during the last two decades. The causes of these changes are not clear. We consider a better understanding of this phenomenon essential for valuing the effects of new drugs and by designing new trials. OBJECTIVES: To identify predictive factors of on-study ARR in early and recent MS trials. METHODS: ARR, rate of relapse-free patients, trial start dates, baseline demographics, relapse definitions and the use of McDonald criteria were retrieved by literature research of the placebo cohorts from RRMS phase-3 trials. Predictors were estimated by univariate and multivariate regression analyses and random-effects meta-regression. In addition, regression models were calculated by the Sylvia Lawry Centre's (SLC, including individual case data from clinical trials performed until 2000. The most reliable meta-analytic results can be gained from pooled individual case data. In lack of this, random-effects meta-analyses are recommended. RESULTS: Data from 12 published and one unpublished trial show a decrease of ARR from 1988 to 2012 (adjR(2 = 0.807, p<0.0001. Regression models identified McDonald criteria followed by baseline mean age and the pre-study relapse rate as predictors of the ARR. The pooled individual case data (n = 505 confirmed a decrease of ARR over time. The pre-study relapse rate was the best predictor for on-study relapses. Lacking individual case data after implementation of the McDonald criteria excludes a direct comparison concerning McDonald criteria. CONCLUSION: Pre-study relapse rate was the best predictor for on-study relapse rate but failed to explain the decrease of the ARR over time alone. Higher age at baseline and the implementation of McDonald criteria were associated as well with a lowered relapse rate in the random

Predictors of underestimation of malignancy after image-guided core needle biopsy diagnosis of flat epithelial atypia or atypical ductal hyperplasia.

Science.gov (United States)

Yu, Chi-Chang; Ueng, Shir-Hwa; Cheung, Yun-Chung; Shen, Shih-Che; Kuo, Wen-Lin; Tsai, Hsiu-Pei; Lo, Yung-Feng; Chen, Shin-Cheh

2015-01-01

Flat epithelial atypia (FEA) and atypical ductal hyperplasia (ADH) are precursors of breast malignancy. Management of FEA or ADH after image-guided core needle biopsy (CNB) remains controversial. The aim of this study was to evaluate malignancy underestimation rates after FEA or ADH diagnosis using image-guided CNB and to identify clinical characteristics and imaging features associated with malignancy as well as identify cases with low underestimation rates that may be treatable by observation only. We retrospectively reviewed 2,875 consecutive image-guided CNBs recorded in an electronic data base from January 2010 to December 2011 and identified 128 (4.5%) FEA and 83 (2.9%) ADH diagnoses (211 total cases). Of these, 64 (30.3%) were echo-guided CNB procedures and 147 (69.7%) mammography-guided CNBs. Twenty patients (9.5%) were upgraded to malignancy. Multivariate analysis indicated that age (OR = 1.123, p = 0.002, increase of 1 year), mass-type lesion with calcifications (OR = 8.213, p = 0.006), and ADH in CNB specimens (OR = 8.071, p = 0.003) were independent predictors of underestimation. In univariate analysis of echo-guided CNB (n = 64), mass with calcifications had the highest underestimation rate (p < 0.001). Multivariate analysis of 147 mammography-guided CNBs revealed that age (OR = 1.122, p = 0.040, increase of 1 year) and calcification distribution were significant independent predictors of underestimation. No FEA case in which, complete calcification retrieval was recorded after CNB was upgraded to malignancy. Older age at diagnosis on image-guided CNB was a predictor of malignancy underestimation. Mass with calcifications was more likely to be associated with malignancy, and in cases presenting as calcifications only, segmental distribution or linear shapes were significantly associated with upgrading. Excision after FEA or ADH diagnosis by image-guided CNB is warranted except for FEA diagnosed using mammography-guided CNB with complete calcification

Predicting Outcomes After Chemo-Embolization in Patients with Advanced-Stage Hepatocellular Carcinoma: An Evaluation of Different Radiologic Response Criteria

International Nuclear Information System (INIS)

Gunn, Andrew J.; Sheth, Rahul A.; Luber, Brandon; Huynh, Minh-Huy; Rachamreddy, Niranjan R.; Kalva, Sanjeeva P.

2017-01-01

PurposeThe purpse of this study was to evaluate the ability of various radiologic response criteria to predict patient outcomes after trans-arterial chemo-embolization with drug-eluting beads (DEB-TACE) in patients with advanced-stage (BCLC C) hepatocellular carcinoma (HCC).Materials and methodsHospital records from 2005 to 2011 were retrospectively reviewed. Non-infiltrative lesions were measured at baseline and on follow-up scans after DEB-TACE according to various common radiologic response criteria, including guidelines of the World Health Organization (WHO), Response Evaluation Criteria in Solid Tumors (RECIST), the European Association for the Study of the Liver (EASL), and modified RECIST (mRECIST). Statistical analysis was performed to see which, if any, of the response criteria could be used as a predictor of overall survival (OS) or time-to-progression (TTP).Results75 patients met inclusion criteria. Median OS and TTP were 22.6 months (95 % CI 11.6–24.8) and 9.8 months (95 % CI 7.1–21.6), respectively. Univariate and multivariate Cox analyses revealed that none of the evaluated criteria had the ability to be used as a predictor for OS or TTP. Analysis of the C index in both univariate and multivariate models showed that the evaluated criteria were not accurate predictors of either OS (C-statistic range: 0.51–0.58 in the univariate model; range: 0.54–0.58 in the multivariate model) or TTP (C-statistic range: 0.55–0.59 in the univariate model; range: 0.57–0.61 in the multivariate model).ConclusionCurrent response criteria are not accurate predictors of OS or TTP in patients with advanced-stage HCC after DEB-TACE.

Predicting Outcomes After Chemo-Embolization in Patients with Advanced-Stage Hepatocellular Carcinoma: An Evaluation of Different Radiologic Response Criteria

Energy Technology Data Exchange (ETDEWEB)

Gunn, Andrew J., E-mail: agunn@uabmc.edu [University of Alabama at Birmingham, Division of Vascular and Interventional Radiology (United States); Sheth, Rahul A. [MD Anderson Cancer Center, Division of Interventional Radiology (United States); Luber, Brandon [Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Divison of Biostatistics and Bioinformatics (United States); Huynh, Minh-Huy [Johns Hopkins University School of Medicine (United States); Rachamreddy, Niranjan R. [Massachusetts General Hospital/Harvard Medical School, Department of Radiology (United States); Kalva, Sanjeeva P. [University of Texas Southwestern Medical Center, Division of Interventional Radiology, Department of Radiology (United States)

2017-01-15

PurposeThe purpse of this study was to evaluate the ability of various radiologic response criteria to predict patient outcomes after trans-arterial chemo-embolization with drug-eluting beads (DEB-TACE) in patients with advanced-stage (BCLC C) hepatocellular carcinoma (HCC).Materials and methodsHospital records from 2005 to 2011 were retrospectively reviewed. Non-infiltrative lesions were measured at baseline and on follow-up scans after DEB-TACE according to various common radiologic response criteria, including guidelines of the World Health Organization (WHO), Response Evaluation Criteria in Solid Tumors (RECIST), the European Association for the Study of the Liver (EASL), and modified RECIST (mRECIST). Statistical analysis was performed to see which, if any, of the response criteria could be used as a predictor of overall survival (OS) or time-to-progression (TTP).Results75 patients met inclusion criteria. Median OS and TTP were 22.6 months (95 % CI 11.6–24.8) and 9.8 months (95 % CI 7.1–21.6), respectively. Univariate and multivariate Cox analyses revealed that none of the evaluated criteria had the ability to be used as a predictor for OS or TTP. Analysis of the C index in both univariate and multivariate models showed that the evaluated criteria were not accurate predictors of either OS (C-statistic range: 0.51–0.58 in the univariate model; range: 0.54–0.58 in the multivariate model) or TTP (C-statistic range: 0.55–0.59 in the univariate model; range: 0.57–0.61 in the multivariate model).ConclusionCurrent response criteria are not accurate predictors of OS or TTP in patients with advanced-stage HCC after DEB-TACE.

Predictors of Default from Treatment for Tuberculosis: a Single Center Case-Control Study in Korea.

Science.gov (United States)

Park, Cheol-Kyu; Shin, Hong-Joon; Kim, Yu-Il; Lim, Sung-Chul; Yoon, Jeong-Sun; Kim, Young-Su; Kim, Jung-Chul; Kwon, Yong-Soo

2016-02-01

Default from tuberculosis (TB) treatment could exacerbate the disease and result in the emergence of drug resistance. This study identified the risk factors for default from TB treatment in Korea. This single-center case-control study analyzed 46 default cases and 100 controls. Default was defined as interrupting treatment for 2 or more consecutive months. The reasons for default were mainly incorrect perception or information about TB (41.3%) and experience of adverse events due to TB drugs (41.3%). In univariate analysis, low income (defaulter (15.2% vs. 2.0%, P = 0.005), and combined extrapulmonary TB (54.3% vs. 34.0%, P = 0.020) were significant risk factors for default. In multivariate analysis, the absence of TB stigma (adjusted odd ratio [aOR]: 46.299, 95% confidence interval [CI]: 8.078-265.365, P defaulters (aOR: 33.226, 95% CI: 2.658-415.309, P = 0.007), and low income (aOR: 5.246, 95% CI: 1.249-22.029, P = 0.024) were independent predictors of default from TB treatment. In conclusion, patients with absence of disease stigma, treated by a non-pulmonologist, who were former defaulters, and with low income should be carefully monitored during TB treatment in Korea to avoid treatment default.

Predictors of Default from Treatment for Tuberculosis: a Single Center Case–Control Study in Korea

Science.gov (United States)

2016-01-01

Default from tuberculosis (TB) treatment could exacerbate the disease and result in the emergence of drug resistance. This study identified the risk factors for default from TB treatment in Korea. This single-center case–control study analyzed 46 default cases and 100 controls. Default was defined as interrupting treatment for 2 or more consecutive months. The reasons for default were mainly incorrect perception or information about TB (41.3%) and experience of adverse events due to TB drugs (41.3%). In univariate analysis, low income (defaulter (15.2% vs. 2.0%, P = 0.005), and combined extrapulmonary TB (54.3% vs. 34.0%, P = 0.020) were significant risk factors for default. In multivariate analysis, the absence of TB stigma (adjusted odd ratio [aOR]: 46.299, 95% confidence interval [CI]: 8.078–265.365, P defaulters (aOR: 33.226, 95% CI: 2.658–415.309, P = 0.007), and low income (aOR: 5.246, 95% CI: 1.249–22.029, P = 0.024) were independent predictors of default from TB treatment. In conclusion, patients with absence of disease stigma, treated by a non-pulmonologist, who were former defaulters, and with low income should be carefully monitored during TB treatment in Korea to avoid treatment default. PMID:26839480

Predictors of resocialization of patients with schizophrenia: medico-sociological analysis

Directory of Open Access Journals (Sweden)

Zhukova О.A.

2012-03-01

Full Text Available Processes of urbanization, stressful events and other social trends of the modern world are considered as the social predictors determining the growth of frequency of mental illness. They are directly associated with manifestations of mental disorders, including schizophrenia. The majority of people is subjected to mental disorders living in unfavorable conditions. According to severe social consequences schizophrenia takes the leading position in psychiatry. Course of schizophrenia is one of the main clinical predictors of clinical and social prognosis. The research has established that the clinical predictors determining the severity of non-cancerous condition of patients with schizophrenia are not obligate in the socialization of the patients.

Isolated Diastolic Hypertension among Adults in Saudi Arabia: Prevalence, Risk Factors, Predictors and Treatment. Results of a National Survey

Directory of Open Access Journals (Sweden)

Abdalla Abdelwahid Saeed

2016-02-01

Full Text Available Background: In the past, diastolic hypertension was the main criterion for treatment, but currently, systolic pressure is the main criterion because it was thought that Isolated Diastolic Hypertension (IDH is not associated with complications. Studies later revealed that IDH carries significant risks. Quantifying the magnitude and risk factors of IDH in the community is essential for all intervention strategies. Aims: This study aims to determine the prevalence, risk factors, predictors, treatment modalities and lifestyle practices of IDH adult patients in the Kingdom of Saudi Arabia (KSA. Study Design: Cross-sectional study. Methods: A community-based cross-sectional study using STEPwise approach among adults using a multistage, stratified, cluster random sample was carried out. Data were collected using questionnaires which included socio-demographics, blood pressure, biochemical, anthropometric measurements and lifestyle practices. Statistical analysis included calculating means and standard deviations, proportions, univariate and multiple logistic regression analysis. Results: Of a total 4562 subjects, 180 (3.95% suffered from IDH, which was significantly related to age, gender, employment, smoking, diabetes mellitus, obesity and hypercholesterolemia. More than 93% were using some form of treatment, with 77.2% on prescribed drugs, 63% using diet, and 23% using exercise. Significant predictors of IDH were retirement and hypercholesterolemia. Conclusion: IDH is associated with some sociodemographic characteristics and co-morbidity. Given the risk of cardiovascular disease associated with IDH, the findings of this study emphasize the need for diagnosing the disease in middle-aged persons focusing on the modifiable risk factors of IDH.

Down regulation of E-Cadherin (ECAD) - a predictor for occult metastatic disease in sentinel node biopsy of early squamous cell carcinomas of the oral cavity and oropharynx

International Nuclear Information System (INIS)

Huber, Gerhard F; Stoeckli, Sandro J; Züllig, Lena; Soltermann, Alex; Roessle, Matthias; Graf, Nicole; Haerle, Stephan K; Studer, Gabriela; Jochum, Wolfram; Moch, Holger

2011-01-01

Prognostic factors in predicting occult lymph node metastasis in patients with head and neck squamous-cell carcinoma (HNSCC) are necessary to improve the results of the sentinel lymph node procedure in this tumour type. The E-Cadherin glycoprotein is an intercellular adhesion molecule in epithelial cells, which plays an important role in establishing and maintaining intercellular connections. To determine the value of the molecular marker E-Cadherin in predicting regional metastatic disease. E-Cadherin expression in tumour tissue of 120 patients with HNSCC of the oral cavity and oropharynx were evaluated using the tissue microarray technique. 110 tumours were located in the oral cavity (91.7%; mostly tongue), 10 tumours in the oropharynx (8.3%). Intensity of E-Cadherin expression was quantified by the Intensity Reactivity Score (IRS). These results were correlated with the lymph node status of biopsied sentinel lymph nodes. Univariate and multivariate analysis was used to determine statistical significance. pT-stage, gender, tumour side and location did not correlate with lymph node metastasis. Differentiation grade (p = 0.018) and down regulation of E-Cadherin expression significantly correlate with positive lymph node status (p = 0.005) in univariate and multivariate analysis. These data suggest that loss of E-cadherin expression is associated with increased lymhogeneous metastasis of HNSCC. E-cadherin immunohistochemistry may be used as a predictor for lymph node metastasis in squamous cell carcinoma of the oral cavity and oropharynx. Level of evidence: 2b

Identification of fall predictors in the active elderly population from the routine medical records of general practitioners.

Science.gov (United States)

Lastrucci, Vieri; Lorini, Chiara; Rinaldi, Giada; Bonaccorsi, Guglielmo

2018-03-01

Aim To evaluate the possibility of determining predictors of falls in the active community-dwelling elderly from the routine medical records of the general practitioners (GPs). Time constraints and competing demands in the clinical encounters frequently undermine fall-risk evaluation. In the context of proactive primary healthcare, quick, and efficient tools for a preliminary fall-risk assessment are needed in order to overcome these barriers. The study included 1220 subjects of 65 years of age or older. Data were extracted from the GPs' patient records. For each subject, the following variables were considered: age, gender, diseases, and pharmacotherapy. Univariate and multivariable analyses have been conducted to identify the independent predictors of falls. Findings The mean age of the study population was 77.8±8.7 years for women and 74.9±7.3 years for men. Of the sample, 11.6% had experienced one or more falls in the previous year. The risk of falling was found to increase significantly (P<0.05) with age (OR=1.03; 95% CI=1.01-1.05), generalized osteoarthritis (OR=2.01; 95% CI=1.23-3.30), tinnitus (OR=4.14; 95% CI=1.25-13.74), cognitive impairment (OR=4.12; 95% CI=2.18-7.80), and two or more co-existing diseases (OR=5.4; 95% CI=1.68-17.39). Results suggest that it is possible to identify patients at higher risk of falling by going through the current medical records, without adding extra workload on the health personnel. In the context of proactive primary healthcare, the analysis of fall predictors from routine medical records may allow the identification of which of the several known and hypothesized risk factors may be more relevant for developing quick and efficient tools for a preliminary fall-risk assessment.

Stroke Location Is an Independent Predictor of Cognitive Outcome.

Science.gov (United States)

Munsch, Fanny; Sagnier, Sharmila; Asselineau, Julien; Bigourdan, Antoine; Guttmann, Charles R; Debruxelles, Sabrina; Poli, Mathilde; Renou, Pauline; Perez, Paul; Dousset, Vincent; Sibon, Igor; Tourdias, Thomas

2016-01-01

On top of functional outcome, accurate prediction of cognitive outcome for stroke patients is an unmet need with major implications for clinical management. We investigated whether stroke location may contribute independent prognostic value to multifactorial predictive models of functional and cognitive outcomes. Four hundred twenty-eight consecutive patients with ischemic stroke were prospectively assessed with magnetic resonance imaging at 24 to 72 hours and at 3 months for functional outcome using the modified Rankin Scale and cognitive outcome using the Montreal Cognitive Assessment (MoCA). Statistical maps of functional and cognitive eloquent regions were derived from the first 215 patients (development sample) using voxel-based lesion-symptom mapping. We used multivariate logistic regression models to study the influence of stroke location (number of eloquent voxels from voxel-based lesion-symptom mapping maps), age, initial National Institutes of Health Stroke Scale and stroke volume on modified Rankin Scale and MoCA. The second part of our cohort was used as an independent replication sample. In univariate analyses, stroke location, age, initial National Institutes of Health Stroke Scale, and stroke volume were all predictive of poor modified Rankin Scale and MoCA. In multivariable analyses, stroke location remained the strongest independent predictor of MoCA and significantly improved the prediction compared with using only age, initial National Institutes of Health Stroke Scale, and stroke volume (area under the curve increased from 0.697-0.771; difference=0.073; 95% confidence interval, 0.008-0.155). In contrast, stroke location did not persist as independent predictor of modified Rankin Scale that was mainly driven by initial National Institutes of Health Stroke Scale (area under the curve going from 0.840 to 0.835). Similar results were obtained in the replication sample. Stroke location is an independent predictor of cognitive outcome (MoCA) at 3

A smart predictor for material property testing

International Nuclear Information System (INIS)

Wang, Wilson; Kanneg, Derek

2008-01-01

A reliable predictor is very useful for real-world industrial applications to forecast the future behavior of dynamic systems. A smart predictor, based on a novel recurrent neural fuzzy (RNF) scheme, is developed in this paper for multi-step-ahead prediction of material properties. A systematic investigation based on two benchmark data sets is conducted in terms of performance and efficiency. Analysis results reveal that, of the data-driven forecasting schemes, predictors based on step input patterns outperform those based on sequential input patterns; the RNF predictor outperforms those based on recurrent neural networks and ANFIS schemes in multi-step-ahead prediction of nonlinear time series. An adaptive Levenberg–Marquardt training technique is adopted to improve the robustness and convergence of the RNF predictor. Furthermore, the proposed smart predictor is implemented for material property testing. Investigation results show that the developed RNF predictor is a reliable forecasting tool for material property testing; it can capture and track the system's dynamic characteristics quickly and accurately. It is also a robust predictor to accommodate different system conditions

Fall predictors in older cancer patients: a multicenter prospective study.

Science.gov (United States)

Vande Walle, Nathalie; Kenis, Cindy; Heeren, Pieter; Van Puyvelde, Katrien; Decoster, Lore; Beyer, Ingo; Conings, Godelieve; Flamaing, Johan; Lobelle, Jean-Pierre; Wildiers, Hans; Milisen, Koen

2014-12-15

In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (≥1 fall) during follow-up. Older patients (70 years or more) with a cancer treatment decision were included. At baseline, all patients underwent geriatric screening (G8 and Flemish Triage Risk Screening Tool), followed by a geriatric assessment including living situation, activities of daily living (ADL), instrumental activities of daily living (IADL), fall history in the past 12 months, fatigue, cognition, depression, nutrition, comorbidities and polypharmacy. Questionnaires were used to collect follow-up (2-3 months) data. Univariate and multivariate analyses were performed to identify predictors for falls (≥1 fall) during follow-up. At baseline, 295 (31.5%) of 937 included patients reported at least one fall in the past 12 months with 88 patients (29.5%) sustaining a major injury. During follow-up (2-3 months), 142 (17.6%) patients fell, of whom 51.4% fell recurrently and 17.6% reported a major injury. Baseline fall history in the past 12 months (OR = 3.926), fatigue (OR = 0.380), ADL dependency (OR = 0.492), geriatric risk profile by G8 (OR = 0.471) and living alone (OR = 1.631) were independent predictors of falls (≥1 fall) within 2-3 months after cancer treatment decision. Falls are a serious problem among older cancer patients. Geriatric screening and assessment data can identify patients at risk for a fall. A patient with risk factors associated with falls should undergo further evaluation and intervention to prevent potentially injurious fall incidents.

HMGB1 is an independent predictor of death and heart transplantation in heart failure.

Science.gov (United States)

Volz, H C; Laohachewin, D; Schellberg, D; Wienbrandt, A R; Nelles, M; Zugck, C; Kaya, Z; Katus, H A; Andrassy, M

2012-06-01

High-Mobility-Group Box 1 (HMGB1) has been established as an important mediator of myocardial inflammation and associated with progression of heart failure (HF). The aim of this study was to analyze the prognostic value of systemic HMGB1 levels in HF patients with ischemic and non-ischemic cardiomyopathy. We conducted an analysis (median follow-up time 2.5 years) of HMGB1 plasma concentration in 154 patients with systolic HF and correlated the results with disease severity and prognosis. HMGB1 in HF patients with severe symptoms (NYHA III/IV; 5.35 ng/ml; interquartile range (IQR) = 3.48-8.42 ng/ml) was significantly elevated compared with that in patients with mild symptoms (NYHA I/II; 3.37 ng/ml, IQR = 2.31-5.22 ng/ml, p < 0.0001) and with controls (3.25 ng/ml, IQR = 3.04-3.67 ng/ml, p < 0.0001). HMGB1 levels correlated with other markers of heart failure indicating an association of HMGB1 with disease severity in HF. In a univariate cox regression model for the combined endpoint of death and heart transplantation, HMGB1 proved to be a predictor at cut-off values based on HMGB1 terciles of either 3.4 or 6.1 ng/ml (p = 0.001 and p < 0.0001, respectively). In a multivariate cox regression model, which included NT-proBNP, creatinine, age, NYHA class, white blood cell count, anemia, and age, HMGB1 remained an independent predictor of the combined endpoint (hazard ratio (HR) = 2.48, 95% confidence interval (CI) = 1.06-5.83, p = 0.037 and HR = 2.48, 95% CI = 1.31-4.71, p = 0.005, respectively). Our findings demonstrate that HMGB1 plasma concentration is elevated in HF and correlates with disease severity and that is an independent predictor of the combined endpoint death and heart transplantation in HF patients.

Predictors of cardiac morbidity in diabetic, new-onset diabetic and non-diabetic high-risk hypertensive patients: The Valsartan Antihypertensive Long-term Use Evaluation (VALUE) trial.

Science.gov (United States)

Aksnes, Tonje A; Kjeldsen, Sverre E; Rostrup, Morten; Holzhauer, Björn; Hua, Tsushung A; Julius, Stevo

2016-08-01

Diabetic and new-onset diabetic patients with hypertension have higher cardiac morbidity than patients without diabetes. We aimed to investigate whether baseline predictors of cardiac morbidity, the major constituent of the primary endpoint in the Valsartan Antihypertensive Long-term Use Evaluation (VALUE) trial, were different in patients with diabetes and new-onset diabetes compared to patients without diabetes. In total, 15,245 high-risk hypertensive patients in the VALUE trial were followed for an average of 4.2 years. At baseline, 5250 patients were diabetic by the 1999 World Health Organization criteria, 1298 patients developed new-onset diabetes and 8697 patients stayed non-diabetic during follow-up. Cardiac morbidity was defined as a composite of myocardial infarction and heart failure requiring hospitalization, and baseline predictors were identified by univariate and multivariate stepwise Cox regression analyses. History of coronary heart disease (CHD) and age were the most important predictors of cardiac morbidity in both diabetic and non-diabetic patients. History of CHD, history of stroke and age were the only significant predictors of cardiac morbidity in patients with new-onset diabetes. Predictors of cardiac morbidity, in particular history of CHD and age, were essentially the same in high-risk hypertensive patients with diabetes, new-onset diabetes and without diabetes who participated in the VALUE trial.

Percutaneous Radiofrequency Ablation of Colorectal Cancer Liver Metastases: Factors Affecting Outcomes—A 10-year Experience at a Single Center

Science.gov (United States)

Shady, Waleed; Petre, Elena N.; Gonen, Mithat; Erinjeri, Joseph P.; Brown, Karen T.; Covey, Anne M.; Alago, William; Durack, Jeremy C.; Maybody, Majid; Brody, Lynn A.; Siegelbaum, Robert H.; D’Angelica, Michael I.; Jarnagin, William R.; Solomon, Stephen B.; Kemeny, Nancy E.

2016-01-01

Purpose To identify predictors of oncologic outcomes after percutaneous radiofrequency ablation (RFA) of colorectal cancer liver metastases (CLMs) and to describe and evaluate a modified clinical risk score (CRS) adapted for ablation as a patient stratification and prognostic tool. Materials and Methods This study consisted of a HIPAA-compliant institutional review board–approved retrospective review of data in 162 patients with 233 CLMs treated with percutaneous RFA between December 2002 and December 2012. Contrast material–enhanced CT was used to assess technique effectiveness 4–8 weeks after RFA. Patients were followed up with contrast-enhanced CT every 2–4 months. Overall survival (OS) and local tumor progression–free survival (LTPFS) were calculated from the time of RFA by using the Kaplan-Meier method. Log-rank tests and Cox regression models were used for univariate and multivariate analysis to identify predictors of outcomes. Results Technique effectiveness was 94% (218 of 233). Median LTPFS was 26 months. At univariate analysis, predictors of shorter LTPFS were tumor size greater than 3 cm (P < .001), ablation margin size of 5 mm or less (P < .001), high modified CRS (P = .009), male sex (P = .03), and no history of prior hepatectomy (P = .04) or hepatic arterial infusion chemotherapy (P = .01). At multivariate analysis, only tumor size greater than 3 cm (P = .01) and margin size of 5 mm or less (P < .001) were independent predictors of shorter LTPFS. Median and 5-year OS were 36 months and 31%. At univariate analysis, predictors of shorter OS were tumor size larger than 3 cm (P = .005), carcinoembryonic antigen level greater than 30 ng/mL (P = .003), high modified CRS (P = .02), and extrahepatic disease (EHD) (P < .001). At multivariate analysis, tumor size greater than 3 cm (P = .006) and more than one site of EHD (P < .001) were independent predictors of shorter OS. Conclusion Tumor size of less than 3 cm and ablation margins greater than 5 mm

Clinical course, complications and predictors of mortality in patients with tuberculous meningitis - an experience of fifty two cases at civil hospital karachi, pakistan

International Nuclear Information System (INIS)

Salekeen, S.; Mahmood, K.; Naqvi, I.H.; Baig, M.Y.; Akhtar, S.T.; Abbasi, A

2013-01-01

Objective: To assess the clinical course, complications and predictors of mortality in reducing the consequent morbidity and mortality in patients with tuberculous meningitis. Methods: A prospective study was carried out at Civil Hospital Karachi from January 2009 to January 2011. Fifty-two confirmed cases of tuberculous meningitis were included. The entire clinical course with complications and predictors of mortality were assessed. Data was analyzed using kSPSS version 17.0. Results: The mean age of the patients was 36.29+-16.7 years with an equal gender distribution. The presenting complaints were fever 51 (98.1%), neck-stiffness 44 (84.61%), and altered level of consciousness 40 (76.9%), headache 31 (59.6%), vomiting 19 (36.5%) and focal weakness 10 (19.2%). Among CNS signs, 47 (90.4%) patients had signs of meningeal irritation, 14 (26.9%) had cranial nerve palsies with abducent nerve being the most commonly involved cranial nerve (25%). Mean GCS was 11.4+-2.9 and most of the patients presented with medical research council Stage 2 of tuberculous meningitis (which is minimally altered level of consciousness with minor focal neurological signs). Overall mortality was 21.1%. Univariate analysis revealed old age; advanced stage of tuberculous meningitis, serum sodium 9000/mL development of hydrocephalus and use of mechanical ventilation as major predictors of mortality. Conclusion: Tuberculous meningitis is a frequently reported problem in our part of the world. Hydrocephalus along with other sequelae are common complications. All patients should be assessed for the presence of risk factors affecting mortality of the disease. (author)

Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution

Directory of Open Access Journals (Sweden)

I. Cruz-Aceves

2013-01-01

Full Text Available This paper presents a novel automatic image segmentation method based on the theory of active contour models and estimation of distribution algorithms. The proposed method uses the univariate marginal distribution model to infer statistical dependencies between the control points on different active contours. These contours have been generated through an alignment process of reference shape priors, in order to increase the exploration and exploitation capabilities regarding different interactive segmentation techniques. This proposed method is applied in the segmentation of the hollow core in microscopic images of photonic crystal fibers and it is also used to segment the human heart and ventricular areas from datasets of computed tomography and magnetic resonance images, respectively. Moreover, to evaluate the performance of the medical image segmentations compared to regions outlined by experts, a set of similarity measures has been adopted. The experimental results suggest that the proposed image segmentation method outperforms the traditional active contour model and the interactive Tseng method in terms of segmentation accuracy and stability.

Predictors of pathologic complete response after preoperative concurrent chemoradiotherapy of rectal cancer: A single center experience

International Nuclear Information System (INIS)

Choi, Eun Cheol; Kim, Jin Hee; Kim, Ok Bae; Kim, Mi Young; Oh, Young Ki; Baek, Sung Gyu

2016-01-01

To identify possible predictors of pathologic complete response (pCR) of rectal cancer after preoperative concurrent chemoradiotherapy (CCRT). We conducted a retrospective review of 53 patients with rectal cancer who underwent preoperative CCRT followed by radical surgery at a single center between January 2007 and December 2012. The median radiotherapy dose to the pelvis was 54.0 Gy (range, 45.0 to 63.0 Gy). Five-fluorouracil-based chemotherapy was administered via continuous infusion with leucovorin. The pCR rate was 20.8%. The downstaging rate was 66%. In univariate analyses, poor and undifferentiated tumors (p = 0.020) and an interval of ≥7 weeks from finishing CCRT to surgery (p = 0.040) were significantly associated with pCR, while female gender (p = 0.070), initial carcinoembryonic antigen concentration of <5.0 ng/dL (p = 0.100), and clinical stage T2 (p = 0.100) were marginally significant factors. In multivariate analysis, an interval of ≥7 weeks from finishing CCRT to surgery (odds ratio, 0.139; 95% confidence interval, 0.022 to 0.877; p = 0.036) was significantly associated with pCR, while stage T2 (odds ratio, 5.363; 95% confidence interval, 0.963 to 29.877; p = 0.055) was a marginally significant risk factor. We suggest that the interval from finishing CCRT to surgery is a predictor of pCR after preoperative CCRT in patients with rectal cancer. Stage T2 cancer may also be an important predictive factor. We hope to perform a robust study by collecting data during treatment to obtain more advanced results

Predictors of pathologic complete response after preoperative concurrent chemoradiotherapy of rectal cancer: A single center experience

Energy Technology Data Exchange (ETDEWEB)

Choi, Eun Cheol [Proton Therapy Center, National Cancer Center, Goyang (Korea, Republic of); Kim, Jin Hee; Kim, Ok Bae; Kim, Mi Young; Oh, Young Ki; Baek, Sung Gyu [Dongsan Medical Center, Keimyung University School of Medicine, Daegu (Korea, Republic of)

2016-06-15

To identify possible predictors of pathologic complete response (pCR) of rectal cancer after preoperative concurrent chemoradiotherapy (CCRT). We conducted a retrospective review of 53 patients with rectal cancer who underwent preoperative CCRT followed by radical surgery at a single center between January 2007 and December 2012. The median radiotherapy dose to the pelvis was 54.0 Gy (range, 45.0 to 63.0 Gy). Five-fluorouracil-based chemotherapy was administered via continuous infusion with leucovorin. The pCR rate was 20.8%. The downstaging rate was 66%. In univariate analyses, poor and undifferentiated tumors (p = 0.020) and an interval of ≥7 weeks from finishing CCRT to surgery (p = 0.040) were significantly associated with pCR, while female gender (p = 0.070), initial carcinoembryonic antigen concentration of <5.0 ng/dL (p = 0.100), and clinical stage T2 (p = 0.100) were marginally significant factors. In multivariate analysis, an interval of ≥7 weeks from finishing CCRT to surgery (odds ratio, 0.139; 95% confidence interval, 0.022 to 0.877; p = 0.036) was significantly associated with pCR, while stage T2 (odds ratio, 5.363; 95% confidence interval, 0.963 to 29.877; p = 0.055) was a marginally significant risk factor. We suggest that the interval from finishing CCRT to surgery is a predictor of pCR after preoperative CCRT in patients with rectal cancer. Stage T2 cancer may also be an important predictive factor. We hope to perform a robust study by collecting data during treatment to obtain more advanced results.

Conventional Versus Automated Implantation of Loose Seeds in Prostate Brachytherapy: Analysis of Dosimetric and Clinical Results

International Nuclear Information System (INIS)

Genebes, Caroline; Filleron, Thomas; Graff, Pierre; Jonca, Frédéric; Huyghe, Eric; Thoulouzan, Matthieu; Soulie, Michel; Malavaud, Bernard; Aziza, Richard; Brun, Thomas; Delannes, Martine; Bachaud, Jean-Marc

2013-01-01

Purpose: To review the clinical outcome of I-125 permanent prostate brachytherapy (PPB) for low-risk and intermediate-risk prostate cancer and to compare 2 techniques of loose-seed implantation. Methods and Materials: 574 consecutive patients underwent I-125 PPB for low-risk and intermediate-risk prostate cancer between 2000 and 2008. Two successive techniques were used: conventional implantation from 2000 to 2004 and automated implantation (Nucletron, FIRST system) from 2004 to 2008. Dosimetric and biochemical recurrence-free (bNED) survival results were reported and compared for the 2 techniques. Univariate and multivariate analysis researched independent predictors for bNED survival. Results: 419 (73%) and 155 (27%) patients with low-risk and intermediate-risk disease, respectively, were treated (median follow-up time, 69.3 months). The 60-month bNED survival rates were 95.2% and 85.7%, respectively, for patients with low-risk and intermediate-risk disease (P=.04). In univariate analysis, patients treated with automated implantation had worse bNED survival rates than did those treated with conventional implantation (P<.0001). By day 30, patients treated with automated implantation showed lower values of dose delivered to 90% of prostate volume (D90) and volume of prostate receiving 100% of prescribed dose (V100). In multivariate analysis, implantation technique, Gleason score, and V100 on day 30 were independent predictors of recurrence-free status. Grade 3 urethritis and urinary incontinence were observed in 2.6% and 1.6% of the cohort, respectively, with no significant differences between the 2 techniques. No grade 3 proctitis was observed. Conclusion: Satisfactory 60-month bNED survival rates (93.1%) and acceptable toxicity (grade 3 urethritis <3%) were achieved by loose-seed implantation. Automated implantation was associated with worse dosimetric and bNED survival outcomes

Conventional Versus Automated Implantation of Loose Seeds in Prostate Brachytherapy: Analysis of Dosimetric and Clinical Results

Energy Technology Data Exchange (ETDEWEB)

Genebes, Caroline, E-mail: genebes.caroline@claudiusregaud.fr [Radiation Oncology Department, Institut Claudius Regaud, Toulouse (France); Filleron, Thomas; Graff, Pierre [Radiation Oncology Department, Institut Claudius Regaud, Toulouse (France); Jonca, Frédéric [Department of Urology, Clinique Ambroise Paré, Toulouse (France); Huyghe, Eric; Thoulouzan, Matthieu; Soulie, Michel; Malavaud, Bernard [Department of Urology and Andrology, CHU Rangueil, Toulouse (France); Aziza, Richard; Brun, Thomas; Delannes, Martine; Bachaud, Jean-Marc [Radiation Oncology Department, Institut Claudius Regaud, Toulouse (France)

2013-11-15

Purpose: To review the clinical outcome of I-125 permanent prostate brachytherapy (PPB) for low-risk and intermediate-risk prostate cancer and to compare 2 techniques of loose-seed implantation. Methods and Materials: 574 consecutive patients underwent I-125 PPB for low-risk and intermediate-risk prostate cancer between 2000 and 2008. Two successive techniques were used: conventional implantation from 2000 to 2004 and automated implantation (Nucletron, FIRST system) from 2004 to 2008. Dosimetric and biochemical recurrence-free (bNED) survival results were reported and compared for the 2 techniques. Univariate and multivariate analysis researched independent predictors for bNED survival. Results: 419 (73%) and 155 (27%) patients with low-risk and intermediate-risk disease, respectively, were treated (median follow-up time, 69.3 months). The 60-month bNED survival rates were 95.2% and 85.7%, respectively, for patients with low-risk and intermediate-risk disease (P=.04). In univariate analysis, patients treated with automated implantation had worse bNED survival rates than did those treated with conventional implantation (P<.0001). By day 30, patients treated with automated implantation showed lower values of dose delivered to 90% of prostate volume (D90) and volume of prostate receiving 100% of prescribed dose (V100). In multivariate analysis, implantation technique, Gleason score, and V100 on day 30 were independent predictors of recurrence-free status. Grade 3 urethritis and urinary incontinence were observed in 2.6% and 1.6% of the cohort, respectively, with no significant differences between the 2 techniques. No grade 3 proctitis was observed. Conclusion: Satisfactory 60-month bNED survival rates (93.1%) and acceptable toxicity (grade 3 urethritis <3%) were achieved by loose-seed implantation. Automated implantation was associated with worse dosimetric and bNED survival outcomes.

Post-operative diffusion weighted imaging as a predictor of posterior fossa syndrome permanence in paediatric medulloblastoma.

Science.gov (United States)

Chua, Felicia H Z; Thien, Ady; Ng, Lee Ping; Seow, Wan Tew; Low, David C Y; Chang, Kenneth T E; Lian, Derrick W Q; Loh, Eva; Low, Sharon Y Y

2017-03-01

Posterior fossa syndrome (PFS) is a serious complication faced by neurosurgeons and their patients, especially in paediatric medulloblastoma patients. The uncertain aetiology of PFS, myriad of cited risk factors and therapeutic challenges make this phenomenon an elusive entity. The primary objective of this study was to identify associative factors related to the development of PFS in medulloblastoma patient post-tumour resection. This is a retrospective study based at a single institution. Patient data and all related information were collected from the hospital records, in accordance to a list of possible risk factors associated with PFS. These included pre-operative tumour volume, hydrocephalus, age, gender, extent of resection, metastasis, ventriculoperitoneal shunt insertion, post-operative meningitis and radiological changes in MRI. Additional variables included molecular and histological subtypes of each patient's medulloblastoma tumour. Statistical analysis was employed to determine evidence of each variable's significance in PFS permanence. A total of 19 patients with appropriately complete data was identified. Initial univariate analysis did not show any statistical significance. However, multivariate analysis for MRI-specific changes reported bilateral DWI restricted diffusion changes involving both right and left sides of the surgical cavity was of statistical significance for PFS permanence. The authors performed a clinical study that evaluated possible risk factors for permanent PFS in paediatric medulloblastoma patients. Analysis of collated results found that post-operative DWI restriction in bilateral regions within the surgical cavity demonstrated statistical significance as a predictor of PFS permanence-a novel finding in the current literature.

A Systematic Review and Meta-Analysis of Predictors of Expressive-Language Outcomes among Late Talkers

Science.gov (United States)

Fisher, Evelyn L.

2017-01-01

Purpose: The purpose of this study was to explore the literature on predictors of outcomes among late talkers using systematic review and meta-analysis methods. We sought to answer the question: What factors predict preschool-age expressive-language outcomes among late-talking toddlers? Method: We entered carefully selected search terms into the…

Analysis of Prognostic Factors and Patterns of Recurrence in Patients With Pathologic Stage III Endometrial Cancer

International Nuclear Information System (INIS)

Patel, Samir; Portelance, Lorraine; Gilbert, Lucy; Tan, Leonard; Stanimir, Gerald; Duclos, Marie; Souhami, Luis

2007-01-01

Purpose: To retrospectively assess prognostic factors and patterns of recurrence in patients with pathologic Stage III endometrial cancer. Methods and Materials: Between 1989 and 2003, 107 patients with pathologic International Federation of Gynecology and Obstetrics Stage III endometrial adenocarcinoma confined to the pelvis were treated at our institution. Adjuvant radiotherapy (RT) was delivered to 68 patients (64%). The influence of multiple patient- and treatment-related factors on pelvic and distant control and overall survival (OS) was evaluated. Results: Median follow-up for patients at risk was 41 months. Five-year actuarial OS was significantly improved in patients treated with adjuvant RT (68%) compared with those with resection alone (50%; p = 0.029). Age, histology, grade, uterine serosal invasion, adnexal involvement, number of extrauterine sites, and treatment with adjuvant RT predicted for improved survival in univariate analysis. Multivariate analysis revealed that grade, uterine serosal invasion, and treatment with adjuvant RT were independent predictors of survival. Five-year actuarial pelvic control was improved significantly with the delivery of adjuvant RT (74% vs. 49%; p = 0.011). Depth of myometrial invasion and treatment with adjuvant RT were independent predictors of pelvic control in multivariate analysis. Conclusions: Multiple prognostic factors predicting for the outcome of pathologic Stage III endometrial cancer patients were identified in this analysis. In particular, delivery of adjuvant RT seems to be a significant independent predictor for improved survival and pelvic control, suggesting that pelvic RT should be routinely considered in the management of these patients

Predictors of migraine headache recurrence: A pooled analysis from the eletriptan database

DEFF Research Database (Denmark)

Dodick, D.W.; Lipton, R.B.; Goadsby, P.J.

2008-01-01

Objective.-To identify clinical variables associated with risk of headache recurrence within 22 hours of initial successful treatment of a migraine attack (2-hour headache response), and to analyze the effect of eletriptan in reducing the incidence of recurrence. Methods.-Data were pooled from 10...... evaluable. A multivariable logistic regression analysis identified significant predictors of headache recurrence (return to moderate/severe pain intensity within 22 hours of initial headache response). Treatment response was assessed in two high-risk subgroups, defined by the presence of significant...

A Java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines.

Science.gov (United States)

Zhang, Jing; Liang, Lichen; Anderson, Jon R; Gatewood, Lael; Rottenberg, David A; Strother, Stephen C

2008-01-01

As functional magnetic resonance imaging (fMRI) becomes widely used, the demands for evaluation of fMRI processing pipelines and validation of fMRI analysis results is increasing rapidly. The current NPAIRS package, an IDL-based fMRI processing pipeline evaluation framework, lacks system interoperability and the ability to evaluate general linear model (GLM)-based pipelines using prediction metrics. Thus, it can not fully evaluate fMRI analytical software modules such as FSL.FEAT and NPAIRS.GLM. In order to overcome these limitations, a Java-based fMRI processing pipeline evaluation system was developed. It integrated YALE (a machine learning environment) into Fiswidgets (a fMRI software environment) to obtain system interoperability and applied an algorithm to measure GLM prediction accuracy. The results demonstrated that the system can evaluate fMRI processing pipelines with univariate GLM and multivariate canonical variates analysis (CVA)-based models on real fMRI data based on prediction accuracy (classification accuracy) and statistical parametric image (SPI) reproducibility. In addition, a preliminary study was performed where four fMRI processing pipelines with GLM and CVA modules such as FSL.FEAT and NPAIRS.CVA were evaluated with the system. The results indicated that (1) the system can compare different fMRI processing pipelines with heterogeneous models (NPAIRS.GLM, NPAIRS.CVA and FSL.FEAT) and rank their performance by automatic performance scoring, and (2) the rank of pipeline performance is highly dependent on the preprocessing operations. These results suggest that the system will be of value for the comparison, validation, standardization and optimization of functional neuroimaging software packages and fMRI processing pipelines.

Multivariate Local Polynomial Regression with Application to Shenzhen Component Index

Directory of Open Access Journals (Sweden)

Liyun Su

2011-01-01

Full Text Available This study attempts to characterize and predict stock index series in Shenzhen stock market using the concepts of multivariate local polynomial regression. Based on nonlinearity and chaos of the stock index time series, multivariate local polynomial prediction methods and univariate local polynomial prediction method, all of which use the concept of phase space reconstruction according to Takens' Theorem, are considered. To fit the stock index series, the single series changes into bivariate series. To evaluate the results, the multivariate predictor for bivariate time series based on multivariate local polynomial model is compared with univariate predictor with the same Shenzhen stock index data. The numerical results obtained by Shenzhen component index show that the prediction mean squared error of the multivariate predictor is much smaller than the univariate one and is much better than the existed three methods. Even if the last half of the training data are used in the multivariate predictor, the prediction mean squared error is smaller than the univariate predictor. Multivariate local polynomial prediction model for nonsingle time series is a useful tool for stock market price prediction.

Predictors of successful outcomes after external cephalic version in singleton term breech pregnancies: a nine-year historical cohort study.

Science.gov (United States)

Cho, L Y; Lau, W L; Lo, T K; Tang, Helen H T; Leung, W C

2012-02-01

To study the success rate, predictors for success, and pregnancy outcomes after external cephalic version. Historical cohort study. Regional hospital, Hong Kong. All women who had singleton term breech pregnancies at term and opted for external cephalic version during 2001 and 2009. Their demographic data, clinical and ultrasound findings, procedure details, complications, and delivery outcomes were analysed. Predictive factors for successful external cephalic version. A total of 209 external cephalic versions were performed during the 9-year period. The success rate was 63% (75% for multiparous and 53% for nulliparous women). There was no significant complication. On univariate analysis, predictors of successful external cephalic version were: multiparity, unengaged presenting part, higher amniotic fluid index (≥ 10 cm), thin abdominal wall, low uterine tone, and easily palpable fetal head (subjective assessment by practitioners before external cephalic version). On multivariate analysis, only multiparity, non-engagement of the fetal buttock and thin maternal abdomen were associated with successful external cephalic version. In all, 69% of those who had successful external cephalic version succeeded in the first roll (Pexternal cephalic versions had vaginal deliveries (93% in multiparous and 69% in nulliparous women). Uptake rate of external cephalic version was studied in the latter part of the study period (2006-2009). Whilst 735 women were eligible for external cephalic version, 131 women chose to have the procedure resulting in an uptake rate of 18%. External cephalic version was effective in reducing breech presentations at term and corresponding caesarean section rates, but the uptake rate was low. Further work should address the barriers to the low acceptance of external cephalic version. The results of this study could encourage women to opt for external cephalic version.

Predictors of unsuccessful outcome in cemented femoral revisions using bone impaction grafting; Cox regression analysis of 208 cases.

Science.gov (United States)

Te Stroet, Martijn A J; Rijnen, Wim H C; Gardeniers, Jean W M; Schreurs, B Willem; Hannink, Gerjon

2016-09-29

Despite improvements in the technique of femoral impaction bone grafting, reconstruction failures still can occur. Therefore, the aim of our study was to determine risk factors for the endpoint re-revision for any reason. We used prospectively collected demographic, clinical and surgical data of all 202 patients who underwent 208 femoral revisions using the X-change Femoral Revision System (Stryker-Howmedica), fresh-frozen morcellised allograft and a cemented polished Exeter stem in our department from 1991 to 2007. Univariable and multivariable Cox regression analyses were performed to identify potential factors associated with re-revision. The mean follow-up was 10.6 (5-21) years. The cumulative re-revision rate was 6.3% (13/208). After univariable selection, sex, age, body mass index (BMI), American Association of Anesthesiologists (ASA) classification, type of removed femoral component, and mesh used for reconstruction were included in multivariable regression analysis.In the multivariable analysis, BMI was the only factor that was significantly associated with the risk of re-revision after bone impaction grafting (BMI ≥30 vs. BMI <30, HR = 6.54 [95% CI 1.89-22.65]; p = 0.003). BMI was the only factor associated with the risk of re-revision for any reason. Besides BMI also other factors, such as Endoklinik score and the type of removed femoral component, can provide guidance in the process of preclinical decision making. With the knowledge obtained from this study, preoperative patient selection, informed consent, and treatment protocols can be better adjusted to the individual patient who needs to undergo a femoral revision with impaction bone grafting.

Predictors of urethral stricture recurrence after endoscopic urethrotomy.

Science.gov (United States)

Redón-Gálvez, L; Molina-Escudero, R; Álvarez-Ardura, M; Otaola-Arca, H; Alarcón Parra, R O; Páez-Borda, Á

2016-10-01

The aim of the study was to analyse the clinical-demographic variables of the series and the predictors of urethral stricture recurrence after endoscopic urethrotomy. We retrospectively analysed 67 patients who underwent Sachse endoscopic urethrotomy between June 2006 and September 2014. Those patients who had previously undergone endoscopic urethrotomy or urethroplasty were excluded. The other patients who presented urethral stricture were included. We analysed age, weight, smoking habit, and cardiovascular risk factors, as well as the number, location, length and aetiology of the strictures, previous urethrotomies, vesical catheter duration and postsurgical dilatations. A univariate and multivariate analysis was conducted using the chi-squared test or Fisher's test and logistic regression to identify the variables related to recurrence. Thirty-seven percent of the patients had a relapse. The majority of the patients were older than 60 years (56.7%), obese (74.6%), nonsmokers (88%) and had no cardiovascular factors (56.7%). The majority of the strictures were single (94%), urethrotomy (89.6%). The majority of the patients carried a vesical catheter for urethrotomy, a stricture length >1cm is the only factor that predicts an increase in the risk of recurrence. We found no clinical or demographic factors that caused an increase in the incidence of recurrence. Similarly, technical factors such as increasing the bladder catheterisation time and urethral dilatations did not change the course of the disease. Their routine use is therefore unnecessary. Copyright © 2016 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.

Potential predictors of risk sexual behavior among private college students in Mekelle City, North Ethiopia.

Science.gov (United States)

Gebresllasie, Fanna; Tsadik, Mache; Berhane, Eyoel

2017-01-01

Risk sexual practice among students from public universities/colleges is common in Ethiopia. However, little has been known about risk sexual behavior of students in private colleges where more students are potentially enrolled. Therefore, this study aimed to assess the magnitude of risky sexual behaviors and predictors among students of Private Colleges in Mekelle City. A mixed design of both quantitative and qualitative methods was used among 627 randomly selected students of private colleges from February to march 2013. Self administered questionnaire and focus group discussion was used to collect data. A thematic content analysis was used for the qualitative part. For the quantitative study, Univariate, Bivariate and multivariable analysis was made using SPSS version 16 statistical package and p value less than 0.05 was used as cut off point for a statistical significance. Among the total 590 respondents, 151 (29.1%) have ever had sex. Among the sexually active students, 30.5% reported having had multiple sexual partners and consistent condom use was nearly 39%. In multivariable logistic regression analysis, variables such as sex, age group, sex last twelve months and condom use last twelve months was found significantly associated with risky sexual behavior. The findings of qualitative and quantitative study showed consistency in presence of risk factors. Finding of this study showed sexual risk behaviors is high among private colleges such as multiple sexual partners and substance use. So that colleges should emphasis on promoting healthy sexual and reproductive health programs.

FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors.

Science.gov (United States)

Lorenzo-Seva, Urbano; Ferrando, Pere J

2011-03-01

We provide an SPSS program that implements currently recommended techniques and recent developments for selecting variables in multiple linear regression analysis via the relative importance of predictors. The approach consists of: (1) optimally splitting the data for cross-validation, (2) selecting the final set of predictors to be retained in the equation regression, and (3) assessing the behavior of the chosen model using standard indices and procedures. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from brm.psychonomic-journals.org/content/supplemental.

Significance of sarcopenia as a prognostic factor for metastatic urothelial carcinoma patients treated with systemic chemotherapy.

Science.gov (United States)

Abe, Hideyuki; Takei, Kohei; Uematsu, Toshitaka; Tokura, Yuumi; Suzuki, Issei; Sakamoto, Kazumasa; Nishihara, Daisaku; Yamaguchi, Yoshiyuki; Mizuno, Tomoya; Nukui, Akinori; Kobayashi, Minoru; Kamai, Takao

2018-04-01

Recently, numerous studies have reported an association between sarcopenia and poor outcomes in various kinds of malignancies. We investigated whether sarcopenia predicts the survival of patients with metastatic urothelial carcinoma who underwent systemic chemotherapy. We reviewed 87 metastatic urothelial carcinoma patients who underwent chemotherapy (gemcitabine plus cisplatin or gemcitabine plus carboplatin for cisplatin-unfit patients) between 2007 and 2015. A computed tomography scan prior to chemotherapy was used for evaluating sarcopenia, and we measured three cross-sectional areas of skeletal muscle at the third lumbar vertebra and calculated the skeletal muscle index (SMI), the paraspinal muscle index (PSMI), and the total psoas area (TPA) of each patient. Predictive values of survival were assessed using Cox regression analysis. The median overall survival (OS) was 16 months (95% CI 13.5-18). Although SMI alone was not a significant predictor of shorter OS (P = 0.117) in univariate analysis, SMI stratified by the value of the body mass index (BMI) was a significant predictor of shorter OS in univariate analysis (P = 0.037) and was also an independent predictor of shorter OS in multivariate analysis (P = 0.026). PSMI and TPA were not significant prognostic factors even when stratified by BMI (P = 0.294 and 0.448), respectively. Neither PSMI nor TPA could substitute SMI as a predictor for poor outcomes in metastatic urothelial carcinoma patients treated with systemic chemotherapy in our study. SMI stratified by BMI is a useful predictor of prognosis in these patients.

Family Social Environment and Parenting Predictors of Alcohol Use among Adolescents in Lithuania.

Science.gov (United States)

Šumskas, Linas; Zaborskis, Apolinaras

2017-09-08

The role of the family as the social environment in shaping adolescent lifestyle has recently received substantial attention. This study was focused on investigating the association between familial and parenting predictors and alcohol use in school-aged children. Adolescents aged 13- and 15-year from a representative sample (N = 3715) of schools in Lithuania were surveyed during the spring of 2014. The methodology of the cross-national Health Behaviour in School-aged Children (HBSC) study was applied. HBSC international questionnaires were completed in the classroom anonymously for obtaining information about drinking of alcoholic beverages and family characteristics-family's affluence and structure, style of communication in the family, parenting style, parental monitoring, family time together, etc. Univariate and multivariate logistic regression analysis was applied for assessment of the association between familial variables and weekly alcohol use. Analysis has demonstrated that adolescents from non-intact families tended to show significantly higher risk of being weekly drinkers (OR = 1.69; 95% CI: 1.30-2.19). The following parenting factors were associated with weekly use of alcohol: father's and mother's low monitoring, father's authoritarian-repressive and mother's permissive-neglectful parenting style. Frequent family time together and frequent electronic media communication with parents showed an inverse negative effect than was predicted. The study suggests that alcohol misuse among adolescents could be associated with a non-intact family structure as well as with complex family and parenting determinants which should be investigated more thoroughly by further studies.

Predictors of Recent Marijuana Use and Past Year Marijuana Use Among a National Sample of Hispanic Youth.

Science.gov (United States)

King, Keith A; Vidourek, Rebecca A; Merianos, Ashley L; Bartsch, Lauren A

2015-01-01

Marijuana use rates remain higher among Hispanic youth compared to youth from other ethnic groups. The purpose of the study was to examine if sex, age, authoritarian parenting, perceived school experiences, lifetime depression, legal involvement, and perceived social norms of marijuana use predicted recent marijuana use and past year marijuana use among Hispanic youth. The participants of this study were a nationwide sample of Hispanic youth (n = 3,457) in the United States. A secondary data analysis of the 2012 National Survey on Drug Use and Health was performed. Unadjusted odds ratios were computed via univariate logistic regression analyses and all statistically significant variables were retained and included in the final multiple logistic regression analyses. Recent marijuana use was operationally defined as use within the past 30 days, and marijuana use in the past year was defined as use within the past year. Results indicated that 7.5% of Hispanic youth used within the past month and 14.5% of Hispanic youth used within the past year. Results revealed that significant predictors for recent use were age, authoritarian parenting, perceived school experiences, legal involvement, and perceived social norms of youth marijuana use. Predictors for past year were age, perceived school experiences, legal involvement, and perceived social norms of youth marijuana use. Findings from this study can be used to address the public health problem of marijuana use among Hispanic youth that is ultimately contributing to health disparities among this ethnic group nationwide. Recommendations for future studies are included.

Inflammation-based prognostic score is a useful predictor of postoperative outcome in patients with extrahepatic cholangiocarcinoma.

Science.gov (United States)

Oshiro, Yukio; Sasaki, Ryoko; Fukunaga, Kiyoshi; Kondo, Tadashi; Oda, Tatsuya; Takahashi, Hideto; Ohkohchi, Nobuhiro

2013-03-01

Recent studies have revealed that the Glasgow prognostic score (GPS), an inflammation-based prognostic score, is useful for predicting outcome in a variety of cancers. This study sought to investigate the significance of GPS for prognostication of patients who underwent surgery with extrahepatic cholangiocarcinoma. We retrospectively analyzed a total of 62 patients who underwent resection for extrahepatic cholangiocarcinoma. We calculated the GPS as follows: patients with both an elevated C-reactive protein (>10 mg/L) and hypoalbuminemia (L) were allocated a score of 2; patients with one or none of these abnormalities were allocated a s ore of 1 or 0, respectively. Prognostic significance was analyzed by the log-rank test and a Cox proportional hazards model. Overall survival rate was 25.5 % at 5 years for all 62 patients. Venous invasion (p = 0.01), pathological primary tumor category (p = 0.013), lymph node metastasis category (p GPS (p = 0.008) were significantly associated with survival by univariate analysis. A Cox model demonstrated that increased GPS was an independent predictive factor with poor prognosis. The preoperative GPS is a useful predictor of postoperative outcome in patients with extrahepatic cholangiocarcinoma.

Tissue Is More Important than Time in Stroke Patients Being Assessed for Thrombolysis.

Science.gov (United States)

Bivard, Andrew; Spratt, Neil; Miteff, Ferdinand; Levi, Christopher; Parsons, Mark William

2018-01-01

The relative prognostic importance of modern imaging profiles compared with standard clinical characteristics is uncertain in acute stroke patients. In this study, we aimed to compare baseline multimodal CT imaging measures with known clinical predictors of patient outcome at 3 months [modified Rankin scale (mRS)]. We collected baseline, 24 h, and day 90 clinical and imaging data from acute ischemic stroke patients being assessed for thrombolytic therapy between 2010 and 2015 at a single center as part of a retrospective analysis. 561 patients presenting within 4.5 h of ischemic stroke onset who were eligible for thrombolysis based on standard clinical criteria were assessed. Acute infarct core volume on CTP was the strongest univariate predictor of patient outcome (mRS 0-2, R 2 0.497, p  Time to treatment (mRS 0-2, R 2 0.096, p  = 0.01) and age (mRS 0-2, R 2 0.027, p  = 0.013) were relatively weak univariate baseline clinical predictors of 3-month outcome. In multivariate analysis, acute infarct core volume and collateral grade were the only significant baseline predictors of 3-month disability (both p  time to treatment and NIHSS, were not as strongly predictive as multimodal CT variables.

Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques

Energy Technology Data Exchange (ETDEWEB)

Sfetsos, A. [7 Pirsou Str., Athens (Greece); Coonick, A.H. [Imperial Coll. of Science Technology and Medicine, Dept. of Electrical and Electronic Engineering, London (United Kingdom)

2000-07-01

This paper introduces a new approach for the forecasting of mean hourly global solar radiation received by a horizontal surface. In addition to the traditional linear methods, several artificial-intelligence-based techniques are studied. These include linear, feed-forward, recurrent Elman and Radial Basis neural networks alongside the adaptive neuro-fuzzy inference scheme. The problem is examined initially for the univariate case, and is extended to include additional meteorological parameters in the process of estimating the optimum model. The results indicate that the developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. The forecasting ability of some models can be further enhanced with the use of additional meteorological parameters. (Author)

Early and continuous neurologic improvements after intravenous thrombolysis are strong predictors of favorable long-term outcomes in acute ischemic stroke.

Science.gov (United States)

Yeo, Leonard L L; Paliwal, Prakash; Teoh, Hock L; Seet, Raymond C; Chan, Bernard P L; Wakerley, Benjamin; Liang, Shen; Rathakrishnan, Rahul; Chong, Vincent F; Ting, Eric Y S; Sharma, Vijay K

2013-11-01

Intravenously administered tissue plasminogen activator (IV tPA) remains the only approved therapeutic agent for arterial recanalization in acute ischemic stroke (AIS). Considerable proportion of AIS patients demonstrate changes in their neurologic status within the first 24 hours of intravenous thrombolysis with IV tPA. However, there are little available data on the course of clinical recovery in subacute 2- to 24-hour window and its impact. We evaluated whether neurologic improvement at 2 and 24 hours after IV tPA bolus can predict functional outcomes in AIS patients at 3 months. Data for consecutive AIS patients treated with IV tPA within 4.5 hours of symptom onset during 2007-2011 were prospectively entered in our thrombolyzed registry. National Institutes of Health Stroke Scale (NIHSS) scores were recorded before IV tPA bolus, at 2 and 24 hours. Early neurologic improvement (ENI) at 2 hours was defined as a reduction in NIHSS score by 10 or more points from baseline or an absolute score of 4 or less points at 2 hours. Continuous neurologic improvement (CNI) was defined as a reduction of NIHSS score by 8 or more points between 2 and 24 hours or an absolute score of 4 or less points at 24 hours. Favorable functional outcomes at 3 months were determined by modified Rankin Scale (mRS) score of 0-1. Of 2460 AIS patients admitted during the study period, 263 (10.7%) received IV tPA within the time window; median age was 64 years (range 19-92), with 63.9% being men, a median NIHSS score of 17 points (range 5-35), and a median onset-to-treatment time of 145 minutes (range 57-270). Overall, 130 (49.4%) thrombolyzed patients achieved an mRS score of 0-1 at 3 months. The female gender, age, and baseline NIHSS score were found to be significantly associated with CNI on univariate analysis. On multivariate analysis, NIHSS score at onset and female gender (odds ratio [OR]: 2.218, 95% confidence interval [CI]: 1.140-4.285; P=.024) were found to be independent predictors of

Prognostic significance of blood coagulation tests in carcinoma of the lung and colon.

Science.gov (United States)

Wojtukiewicz, M Z; Zacharski, L R; Moritz, T E; Hur, K; Edwards, R L; Rickles, F R

1992-08-01

Blood coagulation test results were collected prospectively in patients with previously untreated, advanced lung or colon cancer who entered into a clinical trial. In patients with colon cancer, reduced survival was associated (in univariate analysis) with higher values obtained at entry to the study for fibrinogen, fibrin(ogen) split products, antiplasmin, and fibrinopeptide A and accelerated euglobulin lysis times. In patients with non-small cell lung cancer, reduced survival was associated (in univariate analysis) with higher fibrinogen and fibrin(ogen) split products, platelet counts and activated partial thromboplastin times. In patients with small cell carcinoma of the lung, only higher activated partial thromboplastin times were associated (in univariate analysis) with reduced survival in patients with disseminated disease. In multivariate analysis, higher activated partial thromboplastin times were a significant independent predictor of survival for patients with non-small cell lung cancer limited to one hemithorax and with disseminated small cell carcinoma of the lung. Fibrin(ogen) split product levels were an independent predictor of survival for patients with disseminated non-small cell lung cancer as were both the fibrinogen and fibrinopeptide A levels for patients with disseminated colon cancer. These results suggest that certain tests of blood coagulation may be indicative of prognosis in lung and colon cancer. The heterogeneity of these results suggests that the mechanism(s), intensity, and pathophysiological significance of coagulation activation in cancer may differ between tumour types.

Survival and its predictors from age 75 to 85 in men and women belonging to cohorts with marked survival differences to age 75

DEFF Research Database (Denmark)

Heikkinen, E; Kauppinen, M; Schroll, M

2016-01-01

focusing on different domains of health, functional capacity, and physical and social activities. RESULTS: The proportion of survivors to age 75 was markedly smaller among the Finnish men and women than Danish or Swedish subjects. In the local population no marked differences in survival from age 75 to 85...... among three local Nordic populations using survival data on national cohorts as background information. METHODS: The data were derived from national registers and from samples of 75-year old living in Denmark, Sweden, and Finland. The subjects were invited to take part in interviews and examinations...... were observed between the groups of men, while women survived longer than men and longer in Göteborg than in Glostrup or Jyväskylä. Univariate models revealed 12 predictors of survival. In the multivariate models, the significant predictors among men related to physical fitness, whereas among women...

Predictors of success in selective laser trabeculoplasty for primary open angle glaucoma in Chinese

Directory of Open Access Journals (Sweden)

Lee JW

2014-09-01

Full Text Available Jacky WY Lee,1,2 Catherine CL Liu,3 Jonathan CH Chan,4 Raymond LM Wong,5 Ian YH Wong,2 Jimmy SM Lai2 1The Department of Ophthalmology, Caritas Medical Centre, Hong Kong, SAR, People’s Republic of China; 2The Department of Ophthalmology, The University of Hong Kong, Hong Kong, SAR, People’s Republic of China; 3Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People’s Republic of China; 4The Department of Ophthalmology, Queen Mary Hospital, Hong Kong, SAR, People’s Republic of China; 5The Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, Hong Kong, SAR, People’s Republic of China Purpose: To determine the predictors of success for adjuvant selective laser trabeculoplasty (SLT in Chinese primary open angle glaucoma (POAG patients. Methods: This prospective study recruited Chinese subjects with unilateral or bilateral POAG currently taking medication to reduce intraocular pressure (IOP. All subjects received a single session of 360° SLT treatment and continued their medications for 1 month. SLT success was defined as IOP reduction ≥20% at 1 month. The following covariates were analyzed in both groups via univariate and multivariate analyses: age, sex, lens status, initial IOPs, post-SLT IOPs, number and type of medications, SLT shots and energy, and pre-SLT investigations.Results: In 51 eyes of 33 POAG subjects, the success rate of SLT was 47.1%. Certain groups of patients were associated with greater success using univariate analysis. These groups included the following: older age (coefficient =0.1; OR: 1.1; P=0.0003, a higher pre-SLT IOP (coefficient =0.3; OR: 1.3; P=0.0005, using four types of antiglaucoma medication (coefficient =2.1; OR: 8.4; P=0.005, a greater degree of spherical equivalent (coefficient =2.1; OR: 8.4; P=0.005, and the use of a topical carbonic anhydrase inhibitor (coefficient =1.7; OR: 6.0; P=0.003. None of the covariates were significant using

Social security work disability and its predictors in patients with fibromyalgia.

Science.gov (United States)

Wolfe, Frederick; Walitt, Brian T; Katz, Robert S; Häuser, Winfried

2014-09-01

To determine prevalence and incidence of US Social Security Disability and Supplemental Security Income (SSD) in patients with fibromyalgia and to investigate prediction of SSD. Over a mean of 4 years (range 1-13 years), we studied 2,321 patients with physician-diagnosed fibromyalgia (prevalent cases) and applied modified American College of Rheumatology (ACR) 2010 research criteria to identify criteria-positive patients. During the study, 34.8% (95% confidence interval [95% CI] 32.9-36.8%) of fibromyalgia patients received SSD. The annual incidence of SSD among patients not receiving SSD at study enrollment was 3.4% (95% CI 3.0-3.9%), and 25% were estimated to be work disabled at 9.0 years of followup. By comparison, the prevalence of SSD in rheumatoid arthritis (RA) patients with concomitant fibromyalgia was 55.6% (95% CI 54.3-57.0%) and was 42.4% in osteoarthritis (OA). By study conclusion, 31.4% of SSD awardees were no longer receiving SSD. In univariate models, incident SSD in patients with fibromyalgia was predicted by sociodemographic measures and by symptom burden; but the strongest predictor was functional status (Health Assessment Questionnaire disability index [HAQ DI]). In multivariable models, the HAQ DI and the Short Form 36-item health survey physical and mental component summary scores, but no other variables, predicted SSD. Fibromyalgia criteria-positive patients had more SSD, but the continuous scale, polysymptomatic distress index derived from the ACR criteria was a substantially better predictor of SSD than a criteria-positive diagnosis. The prevalence of SSD is high in fibromyalgia, but not higher than in RA and OA patients who satisfy fibromyalgia criteria. The best predictors of work disability are functional status variables. Copyright © 2014 by the American College of Rheumatology.

Cardiopulmonary exercise testing and prognosis in heart failure due to systolic left ventricular dysfunction: a validation study of the European Society of Cardiology Guidelines and Recommendations (2008) and further developments.

Science.gov (United States)

Corrà, Ugo; Giordano, Andrea; Mezzani, Alessandro; Gnemmi, Marco; Pistono, Massimo; Caruso, Roberto; Giannuzzi, Pantaleo

2012-02-01

The study aims were to validate the cardiopulmonary exercise testing (CPET) parameters recommended by the European Society of Cardiology 2008 Guidelines for risk assessment in heart failure (HF) (ESC-predictors) and to verify the predictive role of 11 supplementary CPET (S-predictors) parameters. We followed 749 HF patients for cardiovascular death and urgent heart transplantation for 3 years: 139 (19%) patients had cardiac events. ESC-predictors - peak oxygen consumption (VO(2)), slope of minute ventilation vs carbon dioxide production (VE/VCO(2)) and exertional oscillatory ventilation - were all related to outcome at univariate and multivariable analysis. The ESC/2008 prototype based on ESC-predictors presented a Harrell's C concordance index of 0.725, with a likely χ2 of 98.31. S-predictors - predicted peak VO(2), peak oxygen pulse, peak respiratory exchange ratio, peak circulatory power, peak VE/VCO(2), VE/VCO(2) slope normalized by peak VO(2), VO(2) efficiency slope, ventilatory anaerobic threshold detection, peak end-tidal CO(2) partial pressure, peak heart rate, and peak systolic arterial blood pressure (SBP) - were all linked to outcome at univariate analysis. When individually added to the ESC/2008 prototype, only peak SBP and peak O(2) pulse significantly improved the model discrimination ability: the ESC + peak SBP prototype had a Harrell's C index 0.750 and reached the highest likely χ2 (127.16, p < 0.0001). We evaluated the longest list of CPET prognostic parameters yet studied in HF: ESC-predictors were independent predictors of cardiovascular events, and the ESC prototype showed a convincing predictive capacity, whereas none of 11 S-predictors enhanced the prognostic performance, except peak SBP.

Prognostic and survival analysis of 837 Chinese colorectal cancer patients.

Science.gov (United States)

Yuan, Ying; Li, Mo-Dan; Hu, Han-Guang; Dong, Cai-Xia; Chen, Jia-Qi; Li, Xiao-Fen; Li, Jing-Jing; Shen, Hong

2013-05-07

To develop a prognostic model to predict survival of patients with colorectal cancer (CRC). Survival data of 837 CRC patients undergoing surgery between 1996 and 2006 were collected and analyzed by univariate analysis and Cox proportional hazard regression model to reveal the prognostic factors for CRC. All data were recorded using a standard data form and analyzed using SPSS version 18.0 (SPSS, Chicago, IL, United States). Survival curves were calculated by the Kaplan-Meier method. The log rank test was used to assess differences in survival. Univariate hazard ratios and significant and independent predictors of disease-specific survival and were identified by Cox proportional hazard analysis. The stepwise procedure was set to a threshold of 0.05. Statistical significance was defined as P analysis suggested age, preoperative obstruction, serum carcinoembryonic antigen level at diagnosis, status of resection, tumor size, histological grade, pathological type, lymphovascular invasion, invasion of adjacent organs, and tumor node metastasis (TNM) staging were positive prognostic factors (P analysis showed a significant statistical difference in 3-year survival among these groups: LNR1, 73%; LNR2, 55%; and LNR3, 42% (P analysis results showed that histological grade, depth of bowel wall invasion, and number of metastatic lymph nodes were the most important prognostic factors for CRC if we did not consider the interaction of the TNM staging system (P < 0.05). When the TNM staging was taken into account, histological grade lost its statistical significance, while the specific TNM staging system showed a statistically significant difference (P < 0.0001). The overall survival of CRC patients has improved between 1996 and 2006. LNR is a powerful factor for estimating the survival of stage III CRC patients.

High Nuclear Hypoxia-Inducible Factor 1 Alpha Expression Is a Predictor of Distant Recurrence in Patients With Resected Pancreatic Adenocarcinoma

International Nuclear Information System (INIS)

Colbert, Lauren E.; Fisher, Sarah B.; Balci, Serdar; Saka, Burcu; Chen, Zhengjia; Kim, Sungjin; El-Rayes, Bassel F.; Adsay, N. Volkan; Maithel, Shishir K.; Landry, Jerome C.

2015-01-01

Purpose: To evaluate nuclear hypoxia-inducible factor 1α (HIF-1α) expression as a prognostic factor for distant recurrence (DR) and local recurrence (LR) after pancreatic adenocarcinoma resection. Methods and Materials: Tissue specimens were collected from 98 patients with pancreatic adenocarcinoma who underwent resection without neoadjuvant therapy between January 2000 and December 2011. Local recurrence was defined as radiographic or pathologic evidence of progressive disease in the pancreas, pancreatic bed, or associated nodal regions. Distant recurrence was defined as radiographically or pathologically confirmed recurrent disease in other sites. Immunohistochemical staining was performed and scored by an independent pathologist blinded to patient outcomes. High HIF-1α overall expression score was defined as high percentage and intensity staining and thus score >1.33. Univariate analysis was performed for HIF-1α score with LR alone and with DR. Multivariate logistic regression was used to determine predictors of LR and DR. Results: Median follow-up time for all patients was 16.3 months. Eight patients (8%) demonstrated isolated LR, 26 patients (26.5%) had isolated DR, and 13 patients had both LR and DR. Fifty-three patients (54%) had high HIF-1α expression, and 45 patients (46%) had low HIF-1α expression. High HIF-1α expression was significantly associated with DR (P=.03), and low HIF-1α expression was significantly associated with isolated LR (P=.03). On multivariate logistic regression analysis, high HIF-1α was the only significant predictor of DR (odds ratio 2.46 [95% confidence interval 1.06-5.72]; P=.03). In patients with a known recurrence, an HIF-1α score ≥2.5 demonstrated a specificity of 100% for DR. Conclusions: High HIF-1α expression is a significant predictor of distant failure versus isolated local failure in patients undergoing resection of pancreatic adenocarcinoma. Expression of HIF-1α may have utility in determining candidates for

Predictors of response to a low-FODMAP diet in patients with functional gastrointestinal disorders and lactose or fructose intolerance.

Science.gov (United States)

Wilder-Smith, C H; Olesen, S S; Materna, A; Drewes, A M

2017-04-01

Diets low in fermentable sugars (low-FODMAP diets) are increasingly adopted by patients with functional gastrointestinal disorders (FGID), but outcome predictors are unclear. To identify factors predictive of an efficacious response to a low-FODMAP diet in FGID patients with fructose or lactose intolerance thereby gaining insights into underlying mechanisms. Fructose and lactose breath tests were performed in FGID patients to determine intolerance (positive symptom score) and malabsorption (increased hydrogen or methane concentrations). Patients with fructose or lactose intolerance consumed a low-FODMAP diet and global adequate symptom relief was assessed after 6-8 weeks and correlated with pre-diet clinical symptoms and breath test results. A total of 81% of 584 patients completing the low-FODMAP diet achieved adequate relief, without significant differences between FGID subgroups or types of intolerance. Univariate analysis yielded predictive factors in fructose intolerance (chronic diarrhoea and pruritus, peak methane concentrations and fullness during breath tests) and lactose intolerance (peak hydrogen and methane concentrations and flatulence during breath tests). Using multivariate analysis, symptom relief was independently and positively predicted in fructose intolerance by chronic diarrhoea [odds ratio (95% confidence intervals): 2.62 (1.31-5.27), P = 0.007] and peak breath methane concentrations [1.53 (1.02-2.29), P = 0.042], and negatively predicted by chronic nausea [0.33 (0.16-0.67), P = 0.002]. No independent predictive factors emerged for lactose intolerance. Adequate global symptom relief was achieved with a low-FODMAP diet in a large majority of functional gastrointestinal disorders patients with fructose or lactose intolerance. Independent predictors of a satisfactory dietary outcome were only seen in fructose intolerant patients, and were indicative of changes in intestinal host or microbiome metabolism. © 2017 John Wiley & Sons Ltd.

An exercise in model validation: Comparing univariate statistics and Monte Carlo-based multivariate statistics

International Nuclear Information System (INIS)

Weathers, J.B.; Luck, R.; Weathers, J.W.

2009-01-01

The complexity of mathematical models used by practicing engineers is increasing due to the growing availability of sophisticated mathematical modeling tools and ever-improving computational power. For this reason, the need to define a well-structured process for validating these models against experimental results has become a pressing issue in the engineering community. This validation process is partially characterized by the uncertainties associated with the modeling effort as well as the experimental results. The net impact of the uncertainties on the validation effort is assessed through the 'noise level of the validation procedure', which can be defined as an estimate of the 95% confidence uncertainty bounds for the comparison error between actual experimental results and model-based predictions of the same quantities of interest. Although general descriptions associated with the construction of the noise level using multivariate statistics exists in the literature, a detailed procedure outlining how to account for the systematic and random uncertainties is not available. In this paper, the methodology used to derive the covariance matrix associated with the multivariate normal pdf based on random and systematic uncertainties is examined, and a procedure used to estimate this covariance matrix using Monte Carlo analysis is presented. The covariance matrices are then used to construct approximate 95% confidence constant probability contours associated with comparison error results for a practical example. In addition, the example is used to show the drawbacks of using a first-order sensitivity analysis when nonlinear local sensitivity coefficients exist. Finally, the example is used to show the connection between the noise level of the validation exercise calculated using multivariate and univariate statistics.

An exercise in model validation: Comparing univariate statistics and Monte Carlo-based multivariate statistics

Energy Technology Data Exchange (ETDEWEB)

Weathers, J.B. [Shock, Noise, and Vibration Group, Northrop Grumman Shipbuilding, P.O. Box 149, Pascagoula, MS 39568 (United States)], E-mail: James.Weathers@ngc.com; Luck, R. [Department of Mechanical Engineering, Mississippi State University, 210 Carpenter Engineering Building, P.O. Box ME, Mississippi State, MS 39762-5925 (United States)], E-mail: Luck@me.msstate.edu; Weathers, J.W. [Structural Analysis Group, Northrop Grumman Shipbuilding, P.O. Box 149, Pascagoula, MS 39568 (United States)], E-mail: Jeffrey.Weathers@ngc.com

2009-11-15

The complexity of mathematical models used by practicing engineers is increasing due to the growing availability of sophisticated mathematical modeling tools and ever-improving computational power. For this reason, the need to define a well-structured process for validating these models against experimental results has become a pressing issue in the engineering community. This validation process is partially characterized by the uncertainties associated with the modeling effort as well as the experimental results. The net impact of the uncertainties on the validation effort is assessed through the 'noise level of the validation procedure', which can be defined as an estimate of the 95% confidence uncertainty bounds for the comparison error between actual experimental results and model-based predictions of the same quantities of interest. Although general descriptions associated with the construction of the noise level using multivariate statistics exists in the literature, a detailed procedure outlining how to account for the systematic and random uncertainties is not available. In this paper, the methodology used to derive the covariance matrix associated with the multivariate normal pdf based on random and systematic uncertainties is examined, and a procedure used to estimate this covariance matrix using Monte Carlo analysis is presented. The covariance matrices are then used to construct approximate 95% confidence constant probability contours associated with comparison error results for a practical example. In addition, the example is used to show the drawbacks of using a first-order sensitivity analysis when nonlinear local sensitivity coefficients exist. Finally, the example is used to show the connection between the noise level of the validation exercise calculated using multivariate and univariate statistics.

Evaluation of the efficiency of continuous wavelet transform as processing and preprocessing algorithm for resolution of overlapped signals in univariate and multivariate regression analyses; an application to ternary and quaternary mixtures

Science.gov (United States)

Hegazy, Maha A.; Lotfy, Hayam M.; Mowaka, Shereen; Mohamed, Ekram Hany

2016-07-01

Wavelets have been adapted for a vast number of signal-processing applications due to the amount of information that can be extracted from a signal. In this work, a comparative study on the efficiency of continuous wavelet transform (CWT) as a signal processing tool in univariate regression and a pre-processing tool in multivariate analysis using partial least square (CWT-PLS) was conducted. These were applied to complex spectral signals of ternary and quaternary mixtures. CWT-PLS method succeeded in the simultaneous determination of a quaternary mixture of drotaverine (DRO), caffeine (CAF), paracetamol (PAR) and p-aminophenol (PAP, the major impurity of paracetamol). While, the univariate CWT failed to simultaneously determine the quaternary mixture components and was able to determine only PAR and PAP, the ternary mixtures of DRO, CAF, and PAR and CAF, PAR, and PAP. During the calculations of CWT, different wavelet families were tested. The univariate CWT method was validated according to the ICH guidelines. While for the development of the CWT-PLS model a calibration set was prepared by means of an orthogonal experimental design and their absorption spectra were recorded and processed by CWT. The CWT-PLS model was constructed by regression between the wavelet coefficients and concentration matrices and validation was performed by both cross validation and external validation sets. Both methods were successfully applied for determination of the studied drugs in pharmaceutical formulations.

Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study.

Science.gov (United States)

Wang, X; Jiao, Y; Tang, T; Wang, H; Lu, Z

2013-12-19

Intrinsic connectivity networks (ICNs) are composed of spatial components and time courses. The spatial components of ICNs were discovered with moderate-to-high reliability. So far as we know, few studies focused on the reliability of the temporal patterns for ICNs based their individual time courses. The goals of this study were twofold: to investigate the test-retest reliability of temporal patterns for ICNs, and to analyze these informative univariate metrics. Additionally, a correlation analysis was performed to enhance interpretability. Our study included three datasets: (a) short- and long-term scans, (b) multi-band echo-planar imaging (mEPI), and (c) eyes open or closed. Using dual regression, we obtained the time courses of ICNs for each subject. To produce temporal patterns for ICNs, we applied two categories of univariate metrics: network-wise complexity and network-wise low-frequency oscillation. Furthermore, we validated the test-retest reliability for each metric. The network-wise temporal patterns for most ICNs (especially for default mode network, DMN) exhibited moderate-to-high reliability and reproducibility under different scan conditions. Network-wise complexity for DMN exhibited fair reliability (ICC<0.5) based on eyes-closed sessions. Specially, our results supported that mEPI could be a useful method with high reliability and reproducibility. In addition, these temporal patterns were with physiological meanings, and certain temporal patterns were correlated to the node strength of the corresponding ICN. Overall, network-wise temporal patterns of ICNs were reliable and informative and could be complementary to spatial patterns of ICNs for further study. Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Analysis of clinical factors for the determination of optimal serum level of thyrotropin after recombinant human thyroid-stimulating hormone administration

International Nuclear Information System (INIS)

Son, Seung Hyun; Lee, Sang Woo; Jung, Ji Hoon; Kim, Choon Young; Kim, Do Hoon; Jeong, Shin Young; Ahn, Byeong Cheol; Lee, Jae Tae

2015-01-01

To determine the optimal levels of thyroid-stimulating hormone (TSH) levels after administration of recombinant human TSH (rhTSH) to patients with differentiated thyroid cancer (DTC), we have analyzed the clinical parameters that affected the degree of the increase in serum levels of TSH. We retrospectively analyzed 276 patients with differentiated thyroid cancer (DTC), post-thyroidectomy and remnant ablation. Pearson’s correlation coefficient test was used to evaluate the correlation between serum levels of TSH after rhTSH stimulation and various clinical factors, including age, sex, height, weight, body mass index (BMI), body surface area (BSA), serum blood urea nitrogen, creatinine, and estimated glomerular filtration rate (GFR). Linear regression analysis was used to determine the predictors of the degree of increase in serum TSH level after rhTSH stimulation. After the rhTSH injections, all subjects achieved TSH levels of >30 μU/mL, with a mean of 203.8 ± 83.4 μU/mL. On univariate analysis, age (r = 0.255) and serum creatinine (r = 0.169) level were positive predictors for higher levels of serum TSH after rhTSH stimulation, while weight (r = –0.239), BMI (r = –0.223), BSA (r = –0.217), and estimated GFR (r = –0.199) were negative predictors. Multiple linear regression analysis revealed that serum creatinine was the most powerful independent predictor for serum levels of TSH, followed by age, BSA, and BMI. An increment in serum TSH after rhTSH stimulation was significantly affected by age, BSA, BMI, and creatinine, with creatinine being the most powerful predictor. By understanding the difference in the increased levels of TSH in various subjects, their dose of rhTSH can be adjusted during scheduling for radioiodine ablation, or during follow-up (recurrence surveillance) after surgery and ablation

Analysis of clinical factors for the determination of optimal serum level of thyrotropin after recombinant human thyroid-stimulating hormone administration

Energy Technology Data Exchange (ETDEWEB)

Son, Seung Hyun; Lee, Sang Woo; Jung, Ji Hoon; Kim, Choon Young; Kim, Do Hoon; Jeong, Shin Young; Ahn, Byeong Cheol; Lee, Jae Tae [Dept. of Nuclear Medicine, Kyungpook National University Medical Center and School of Medicine, Daegu (Korea, Republic of)

2015-12-15

To determine the optimal levels of thyroid-stimulating hormone (TSH) levels after administration of recombinant human TSH (rhTSH) to patients with differentiated thyroid cancer (DTC), we have analyzed the clinical parameters that affected the degree of the increase in serum levels of TSH. We retrospectively analyzed 276 patients with differentiated thyroid cancer (DTC), post-thyroidectomy and remnant ablation. Pearson’s correlation coefficient test was used to evaluate the correlation between serum levels of TSH after rhTSH stimulation and various clinical factors, including age, sex, height, weight, body mass index (BMI), body surface area (BSA), serum blood urea nitrogen, creatinine, and estimated glomerular filtration rate (GFR). Linear regression analysis was used to determine the predictors of the degree of increase in serum TSH level after rhTSH stimulation. After the rhTSH injections, all subjects achieved TSH levels of >30 μU/mL, with a mean of 203.8 ± 83.4 μU/mL. On univariate analysis, age (r = 0.255) and serum creatinine (r = 0.169) level were positive predictors for higher levels of serum TSH after rhTSH stimulation, while weight (r = –0.239), BMI (r = –0.223), BSA (r = –0.217), and estimated GFR (r = –0.199) were negative predictors. Multiple linear regression analysis revealed that serum creatinine was the most powerful independent predictor for serum levels of TSH, followed by age, BSA, and BMI. An increment in serum TSH after rhTSH stimulation was significantly affected by age, BSA, BMI, and creatinine, with creatinine being the most powerful predictor. By understanding the difference in the increased levels of TSH in various subjects, their dose of rhTSH can be adjusted during scheduling for radioiodine ablation, or during follow-up (recurrence surveillance) after surgery and ablation.

A nomogram for predicting pathological complete response in patients with human epidermal growth factor receptor 2 negative breast cancer

International Nuclear Information System (INIS)

Jin, Xi; Jiang, Yi-Zhou; Chen, Sheng; Yu, Ke-Da; Ma, Ding; Sun, Wei; Shao, Zhi-Min; Di, Gen-Hong

2016-01-01

The response to neoadjuvant chemotherapy has been proven to predict long-term clinical benefits for patients. Our research is to construct a nomogram to predict pathological complete response of human epidermal growth factor receptor 2 negative breast cancer patients. We enrolled 815 patients who received neoadjuvant chemotherapy from 2003 to 2015 and divided them into a training set and a validation set. Univariate logistic regression was performed to screen for predictors and construct the nomogram; multivariate logistic regression was performed to identify independent predictors. After performing the univariate logistic regression analysis in the training set, tumor size, hormone receptor status, regimens of neoadjuvant chemotherapy and cycles of neoadjuvant chemotherapy were the final predictors for the construction of the nomogram. The multivariate logistic regression analysis demonstrated that T4 status, hormone receptor status and receiving regimen of paclitaxel and carboplatin were independent predictors of pathological complete response. The area under the receiver operating characteristic curve of the training set and the validation set was 0.779 and 0.701, respectively. We constructed and validated a nomogram to predict pathological complete response in human epidermal growth factor receptor 2 negative breast cancer patients. We also identified tumor size, hormone receptor status and paclitaxel and carboplatin regimen as independent predictors of pathological complete response. The online version of this article (doi:10.1186/s12885-016-2652-z) contains supplementary material, which is available to authorized users

Robust assignment of cancer subtypes from expression data using a uni-variate gene expression average as classifier

International Nuclear Information System (INIS)

Lauss, Martin; Frigyesi, Attila; Ryden, Tobias; Höglund, Mattias

2010-01-01

Genome wide gene expression data is a rich source for the identification of gene signatures suitable for clinical purposes and a number of statistical algorithms have been described for both identification and evaluation of such signatures. Some employed algorithms are fairly complex and hence sensitive to over-fitting whereas others are more simple and straight forward. Here we present a new type of simple algorithm based on ROC analysis and the use of metagenes that we believe will be a good complement to existing algorithms. The basis for the proposed approach is the use of metagenes, instead of collections of individual genes, and a feature selection using AUC values obtained by ROC analysis. Each gene in a data set is assigned an AUC value relative to the tumor class under investigation and the genes are ranked according to these values. Metagenes are then formed by calculating the mean expression level for an increasing number of ranked genes, and the metagene expression value that optimally discriminates tumor classes in the training set is used for classification of new samples. The performance of the metagene is then evaluated using LOOCV and balanced accuracies. We show that the simple uni-variate gene expression average algorithm performs as well as several alternative algorithms such as discriminant analysis and the more complex approaches such as SVM and neural networks. The R package rocc is freely available at http://cran.r-project.org/web/packages/rocc/index.html

Organization specific predictors of job satisfaction: findings from a Canadian multi-site quality of work life cross-sectional survey

Directory of Open Access Journals (Sweden)

Lohfeld Lynne

2002-03-01

Full Text Available Abstract Background Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. Methods 5,486 full, part and causal time (non-physician staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Results Depending on the organization, between 15 and 30 (of the 40 potential predictor variables were found to be statistically associated with job satisfaction (univariate analyses. Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. Conclusions The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.

Organization specific predictors of job satisfaction: findings from a Canadian multi-site quality of work life cross-sectional survey.

Science.gov (United States)

Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin

2002-03-25

Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.

Immunological non-response and low hemoglobin levels are predictors of incident tuberculosis among HIV-infected individuals on Truvada-based therapy in Botswana.

Directory of Open Access Journals (Sweden)

Lucy Mupfumi

Full Text Available There is a high burden of tuberculosis (TB in HIV antiretroviral programmes in Africa. However, few studies have looked at predictors of incident TB while on Truvada-based combination antiretroviral therapy (cART regimens.We estimated TB incidence among individuals enrolled into an observational cohort evaluating the efficacy and tolerability of Truvada-based cART in Gaborone, Botswana between 2008 and 2011. We used Cox proportional hazards regressions to determine predictors of incident TB.Of 300 participants enrolled, 45 (15% had a diagnosis of TB at baseline. During 428 person-years (py of follow-up, the incidence rate of TB was 3.04/100py (95% CI, 1.69-5.06, with 60% of the cases occurring within 3 months of ART initiation. Incident cases had low baseline CD4+ T cell counts (153cells/mm3 [Q1, Q3: 82, 242]; p = 0.69 and hemoglobin levels (9.2g/dl [Q1, Q3: 8.5,10.1]; p<0.01. In univariate analysis, low BMI (HR = 0.73; 95% CI 0.58-0.91; p = 0.01 and hemoglobin levels <8 g/dl (HR = 10.84; 95%CI: 2.99-40.06; p<0.01 were risk factors for TB. Time to incident TB diagnosis was significantly reduced in patients with poor immunological recovery (p = 0.04. There was no association between baseline viral load and risk of TB (HR = 1.75; 95%CI: 0.70-4.37.Low hemoglobin levels prior to initiation of ART are significant predictors of incident tuberculosis. Therefore, there is potential utility of iron biomarkers to identify patients at risk of TB prior to initiation on ART. Furthermore, additional strategies are required for patients with poor immunological recovery to reduce excess risk of TB while on ART.

Feminist identity as a predictor of eating disorder diagnostic status.

Science.gov (United States)

Green, Melinda A; Scott, Norman A; Riopel, Cori M; Skaggs, Anna K

2008-06-01

Passive Acceptance (PA) and Active Commitment (AC) subscales of the Feminist Identity Development Scale (FIDS) were examined as predictors of eating disorder diagnostic status as assessed by the Questionnaire for Eating Disorder Diagnoses (Q-EDD). Results of a hierarchical regression analysis revealed PA and AC scores were not statistically significant predictors of ED diagnostic status after controlling for diagnostic subtype. Results of a multiple regression analysis revealed FIDS as a statistically significant predictor of ED diagnostic status when failing to control for ED diagnostic subtype. Discrepancies suggest ED diagnostic subtype may serve as a moderator variable in the relationship between ED diagnostic status and FIDS. (c) 2008 Wiley Periodicals, Inc.

Laparoscopic Heller Myotomy vs Per Oral Endoscopic Myotomy: Patient-Reported Outcomes at a Single Institution.

Science.gov (United States)

Hanna, Andrew N; Datta, Jashodeep; Ginzberg, Sara; Dasher, Kevin; Ginsberg, Gregory G; Dempsey, Daniel T

2018-04-01

Although laparoscopic Heller myotomy (LHM) has been the standard of care for achalasia, per oral endoscopic myotomy (POEM) has gained popularity as a viable alternative. This retrospective study aimed to compare patient-reported outcomes between LHM and POEM in a consecutive series of achalasia patients with more than 1 year of follow-up. We reviewed demographic and procedure-related data for patients who underwent either LHM or POEM for achalasia between January 2011 and May 2016. Phone interviews were conducted assessing post-procedure achalasia symptoms via the Eckardt score and achalasia severity questionnaire (ASQ). Demographics, disease factors, and survey results were compared between LHM and POEM patients using univariate analysis. Significant predictors of procedure failure were analyzed using univariate and multivariate analysis. There were no serious complications in 110 consecutive patients who underwent LHM or POEM during the study period, and 96 (87%) patients completed phone surveys. There was a nonsignificant trend toward better patient-reported outcomes with POEM. There were significant differences in patient characteristics including sex, achalasia type, mean residual lower esophageal pressure (rLESP), and follow-up time. The only univariate predictors of an unsatisfactory Eckardt score or ASQ were longer follow-up and lower rLESP, with follow-up length being the only predictor on multivariate analysis. There were significant demographic and clinical differences in patient selection for POEM vs LHM in our group. Although the 2 procedures have similar patient-reported effectiveness, subjective outcomes seem to decline as a result of time rather than procedure type. Copyright © 2018 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Family Social Environment and Parenting Predictors of Alcohol Use among Adolescents in Lithuania

Directory of Open Access Journals (Sweden)

Linas Šumskas

2017-09-01

Full Text Available The role of the family as the social environment in shaping adolescent lifestyle has recently received substantial attention. This study was focused on investigating the association between familial and parenting predictors and alcohol use in school-aged children. Adolescents aged 13- and 15-year from a representative sample (N = 3715 of schools in Lithuania were surveyed during the spring of 2014. The methodology of the cross-national Health Behaviour in School-aged Children (HBSC study was applied. HBSC international questionnaires were completed in the classroom anonymously for obtaining information about drinking of alcoholic beverages and family characteristics—family’s affluence and structure, style of communication in the family, parenting style, parental monitoring, family time together, etc. Univariate and multivariate logistic regression analysis was applied for assessment of the association between familial variables and weekly alcohol use. Analysis has demonstrated that adolescents from non-intact families tended to show significantly higher risk of being weekly drinkers (OR = 1.69; 95% CI: 1.30–2.19. The following parenting factors were associated with weekly use of alcohol: father’s and mother’s low monitoring, father’s authoritarian-repressive and mother’s permissive-neglectful parenting style. Frequent family time together and frequent electronic media communication with parents showed an inverse negative effect than was predicted. The study suggests that alcohol misuse among adolescents could be associated with a non-intact family structure as well as with complex family and parenting determinants which should be investigated more thoroughly by further studies.

Prevalence and predictors of adolescents' cigarette smoking in Madinah, Saudi Arabia: a school-based cross-sectional study.

Science.gov (United States)

Al-Zalabani, Abdulmohsen; Kasim, Khaled

2015-01-21

Although the prevalence of adolescents' cigarette smoking has increased in recent decades, little is known regarding its epidemiology in certain Saudi regions, including the Madinah region. The aim of this study was to determine the prevalence and predictors of adolescent cigarette smoking in Madinah, Saudi Arabia. A school-based cross-sectional study was carried out in the Madinah region during 2013. A multistage stratified cluster sample was taken and included 3400 students (11-19 years) from 34 intermediate and secondary schools. Data concerning sociodemographic and smoking-related factors were collected using a valid and reliable self-administered questionnaire. The prevalence of smoking was estimated, and appropriate statistical analyses were performed, including univariate, predictive and multivariate regression analyses. The overall response rate was 97.7%. The prevalence of cigarette smoking in the respondents' 3322 adolescents was 15.17% (95% CI = 13.95-16.39) with significant differences in sociodemographic factors. The most important predictors were most or all friends smoking (OR = 12.5; 95% CI = 9.40-16.8). Other significant less important factors were parental smoking, belief in the harmful effects of smoking, cigarette advertisement in mass media, and pocket money. Cigarette smoking prevalence is a relatively low among adolescents in Madinah region. However, friends and parents smoking play an important role in the increased risk of smoking in the studied adolescents. These predictors must be included in any antismoking education programs targeting to this sector of population in the region.

Predictors of functional outcome vary by the hemisphere of involvement in major ischemic stroke treated with intra-arterial therapy: a retrospective cohort study

Directory of Open Access Journals (Sweden)

Pryor Johnny C

2010-04-01

Full Text Available Abstract Background Conflicting data exists regarding the effect of hemispheric lateralization on acute ischemic stroke outcome. Some of this variability may be related to heterogeneous study populations, particularly with respect to the level of arterial occlusion. Furthermore, little is known about the relationship between stroke lateralization and predictors of outcome. The purpose of this study was to characterize the impact of stroke lateralization on both functional outcome and its predictors in a well-defined population of anterior circulation proximal artery occlusions treated with IAT. Methods Thirty-five consecutive left- and 35 consecutive right-sided stroke patients with intracranial ICA and/or MCA occlusions who underwent IAT were retrospectively analyzed. Ischemic change on pre-treatment imaging was quantified. Reperfusion success was graded using the Mori scale. Good outcome at three months was defined as an mRS ≤ 2. Left- and right-sided strokes were compared for outcome and its predictors. Result Of 70 patients with median NIHSS score of 18 (IQR, 14-21, 19 (27.1% had a good outcome. There were 21 terminal ICA and 49 MCA occlusions. There was no difference in the rate of good outcomes between left- (n = 9 and right-sided (n = 10 strokes (p = 0.99. There were no significant differences in occlusion level, age, ischemic change on initial imaging and degree of reperfusion between left- and right-sided strokes. Left-sided strokes had higher baseline NIHSS scores (p = 0.02 and lower admission SBP (p = 0.009. Independent predictors of outcome for left-sided strokes were NIHSS (p = 0.0002 and reperfusion (p = 0.006, and for right-sided strokes were age (p = 0.002 and reperfusion (p = 0.003. In univariate analysis, pre-treatment ischemic change on NCCT was associated with outcome only for left-sided strokes (p = 0.05. Conclusions In anterior circulation proximal artery occlusions treated with IAT, hemispheric lateralization influences

Religiosity and Authoritarianism as Predictors of Attitude toward the Disabled: A Regression Analysis.

Science.gov (United States)

Tunick, Roy H.; And Others

1979-01-01

This study identifies predictors and correlates of attitudes toward the disabled. Authoritarianism, church attendance, religious orthodoxy, age, and education were significantly related to these attitudes of people in a Rocky Mountain Community. Significant predictors of the criterion were authoritarianism, religiosity, and age. Recommendations…

Role of late gadolinium enhancement cardiovascular magnetic resonance in the risk stratification of hypertrophic cardiomyopathy.

Science.gov (United States)

Ismail, Tevfik F; Jabbour, Andrew; Gulati, Ankur; Mallorie, Amy; Raza, Sadaf; Cowling, Thomas E; Das, Bibek; Khwaja, Jahanzaib; Alpendurada, Francisco D; Wage, Ricardo; Roughton, Michael; McKenna, William J; Moon, James C; Varnava, Amanda; Shakespeare, Carl; Cowie, Martin R; Cook, Stuart A; Elliott, Perry; O'Hanlon, Rory; Pennell, Dudley J; Prasad, Sanjay K

2014-12-01

Myocardial fibrosis identified by late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) in patients with hypertrophic cardiomyopathy (HCM) is associated with adverse cardiovascular events, but its value as an independent risk factor for sudden cardiac death (SCD) is unknown. We investigated the role of LGE-CMR in the risk stratification of HCM. We conducted a prospective cohort study in a tertiary referral centre. Consecutive patients with HCM (n=711, median age 56.3 years, IQR 46.7-66.6; 70.0% male) underwent LGE-CMR and were followed for a median 3.5 years. The primary end point was SCD or aborted SCD. Overall, 471 patients (66.2%) had myocardial fibrosis (median 5.9% of left ventricular mass, IQR: 2.2-13.3). Twenty-two (3.1%) reached the primary end point. The extent but not the presence of fibrosis was a significant univariable predictor of the primary end point (HR per 5% LGE: 1.24, 95% CI 1.06 to 1.45; p=0.007 and HR for LGE: 2.69, 95% CI 0.91 to 7.97; p=0.073, respectively). However, on multivariable analysis, only LV-EF remained statistically significant (HR: 0.92, 95% CI 0.89 to 0.95; p<0.001). For the secondary outcome of cardiovascular mortality/aborted SCD, the presence and the amount of fibrosis were significant predictors on univariable but not multivariable analysis after adjusting for LV-EF and non-sustained ventricular tachycardia. The amount of myocardial fibrosis was a strong univariable predictor of SCD risk. However, this effect was not maintained after adjusting for LV-EF. Further work is required to elucidate the interrelationship between fibrosis and traditional predictors of outcome in HCM. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Univariate time series modeling and an application to future claims amount in SOCSO's invalidity pension scheme

Science.gov (United States)

Chek, Mohd Zaki Awang; Ahmad, Abu Bakar; Ridzwan, Ahmad Nur Azam Ahmad; Jelas, Imran Md.; Jamal, Nur Faezah; Ismail, Isma Liana; Zulkifli, Faiz; Noor, Syamsul Ikram Mohd

2012-09-01

The main objective of this study is to forecast the future claims amount of Invalidity Pension Scheme (IPS). All data were derived from SOCSO annual reports from year 1972 - 2010. These claims consist of all claims amount from 7 benefits offered by SOCSO such as Invalidity Pension, Invalidity Grant, Survivors Pension, Constant Attendance Allowance, Rehabilitation, Funeral and Education. Prediction of future claims of Invalidity Pension Scheme will be made using Univariate Forecasting Models to predict the future claims among workforce in Malaysia.

Prevalence and Predictors of Functional Vitamin K Insufficiency in Mothers and Newborns in Uganda

Directory of Open Access Journals (Sweden)

Data Santorino

2015-10-01

Full Text Available Vitamin K deficiency bleeding (VKDB in infancy is a serious but preventable cause of mortality or permanent disability. Lack of epidemiologic data for VKDB in sub-Saharan Africa hinders development and implementation of effective prevention strategies. We used convenience sampling to consecutively enroll mothers delivering in a southwestern Uganda Hospital. We collected socio-demographic and dietary information, and paired samples of maternal venous and neonatal cord blood for the immunoassay of undercarboxylated prothrombin (PIVKA-II, a sensitive marker of functional vitamin K (VK insufficiency. We used univariable and multivariable logistic regression models to identify predictors of VK insufficiency. We detected PIVKA-II of ≥0.2 AU (Arbitrary Units per mL/mL (indicative of VK insufficiency in 33.3% (47/141 of mothers and 66% (93/141 of newborns. Importantly, 22% of babies had PIVKA-II concentrations ≥5.0 AU/mL, likely to be associated with abnormal coagulation indices. We found no significant predictors of newborn VK insufficiency, including infant weight (AOR (adjusted odds ratio 1.85, 95% CI (confidence interval 0.15–22.49, gender (AOR 0.54, 95% CI 0.26–1.11, term birth (AOR 0.72, 95% CI 0.20–2.62, maternal VK-rich diet (AOR 1.13, 95% CI 0.55–2.35 or maternal VK insufficiency (AOR 0.99, 95% CI 0.47–2.10. VK insufficiency is common among mothers and newborn babies in southwestern Uganda, which in one fifth of babies nears overt deficiency. Lack of identifiable predictors of newborn VK insufficiency support strategies for universal VK prophylaxis to newborns to prevent VKDB.

Personality Traits as Predictors of Shopping Motivations and Behaviors: A Canonical Correlation Analysis

Directory of Open Access Journals (Sweden)

Ali Gohary

2014-10-01

Full Text Available This study examines the relationship between Big Five personality traits with shopping motivation variables consisting of compulsive and impulsive buying, hedonic and utilitarian shopping values. Two hundred forty seven college students were recruited to participate in this research. Bivariate correlation demonstrates an overlap between personality traits; consequently, canonical correlation was performed to prevent this phenomenon. The results of multiple regression analysis suggested conscientiousness, neuroticism and openness as predictors of compulsive buying, impulsive buying and utilitarian shopping values. In addition, the results showed significant differences between males and females on conscientiousness, neuroticism, openness, compulsive buying and hedonic shopping value. Besides, using hierarchical regression analysis, we examined sex as moderator between Big Five personality traits and shopping variables, but we didn’t find sufficient evidence to prove it.

Rate and predictors of conversion from unipolar to bipolar disorder: A systematic review and meta-analysis.

Science.gov (United States)

Kessing, Lars Vedel; Willer, Inge; Andersen, Per Kragh; Bukh, Jens Drachman

2017-08-01

For the first time to present a systematic review and meta-analysis of the conversion rate and predictors of conversion from unipolar disorder to bipolar disorder. A systematic literature search up to October 2016 was performed. For the meta-analysis, we only included studies that used survival analysis to estimate the conversion rate. A total of 31 studies were identified, among which 11 used survival analyses, including two register-based studies. The yearly rate of conversion to bipolar disorder decreased with time from 3.9% in the first year after study entry with a diagnosis of unipolar disorder to 3.1% in years 1-2, 1.0% in years 2-5 and 0.8% in years 5-10. A total of eight risk factors were evaluated comprising gender, age at onset of unipolar disorder, number of depressive episodes, treatment resistance to antidepressants, family history of bipolar disorder, the prevalence of psychotic depression, the prevalence of chronic depression, and severity of depression. It was not possible to identify risk factors that were consistently or mainly confirmed to predict conversion across studies. The conversion rate from unipolar to bipolar disorder decreases with time. It was not possible to identify predictors of conversion that were consistently or mainly confirmed across studies, which may be due to variations in methodology across studies. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Univariate Lp and ɭ p Averaging, 0 < p < 1, in Polynomial Time by Utilization of Statistical Structure

Directory of Open Access Journals (Sweden)

John E. Lavery

2012-10-01

Full Text Available We present evidence that one can calculate generically combinatorially expensive Lp and lp averages, 0 < p < 1, in polynomial time by restricting the data to come from a wide class of statistical distributions. Our approach differs from the approaches in the previous literature, which are based on a priori sparsity requirements or on accepting a local minimum as a replacement for a global minimum. The functionals by which Lp averages are calculated are not convex but are radially monotonic and the functionals by which lp averages are calculated are nearly so, which are the keys to solvability in polynomial time. Analytical results for symmetric, radially monotonic univariate distributions are presented. An algorithm for univariate lp averaging is presented. Computational results for a Gaussian distribution, a class of symmetric heavy-tailed distributions and a class of asymmetric heavy-tailed distributions are presented. Many phenomena in human-based areas are increasingly known to be represented by data that have large numbers of outliers and belong to very heavy-tailed distributions. When tails of distributions are so heavy that even medians (L1 and l1 averages do not exist, one needs to consider using lp minimization principles with 0 < p < 1.

Detection of biomarkers for Hepatocellular Carcinoma using a hybrid univariate gene selection methods

Directory of Open Access Journals (Sweden)

Abdel Samee Nagwan M

2012-08-01

Full Text Available Abstract Background Discovering new biomarkers has a great role in improving early diagnosis of Hepatocellular carcinoma (HCC. The experimental determination of biomarkers needs a lot of time and money. This motivates this work to use in-silico prediction of biomarkers to reduce the number of experiments required for detecting new ones. This is achieved by extracting the most representative genes in microarrays of HCC. Results In this work, we provide a method for extracting the differential expressed genes, up regulated ones, that can be considered candidate biomarkers in high throughput microarrays of HCC. We examine the power of several gene selection methods (such as Pearson’s correlation coefficient, Cosine coefficient, Euclidean distance, Mutual information and Entropy with different estimators in selecting informative genes. A biological interpretation of the highly ranked genes is done using KEGG (Kyoto Encyclopedia of Genes and Genomes pathways, ENTREZ and DAVID (Database for Annotation, Visualization, and Integrated Discovery databases. The top ten genes selected using Pearson’s correlation coefficient and Cosine coefficient contained six genes that have been implicated in cancer (often multiple cancers genesis in previous studies. A fewer number of genes were obtained by the other methods (4 genes using Mutual information, 3genes using Euclidean distance and only one gene using Entropy. A better result was obtained by the utilization of a hybrid approach based on intersecting the highly ranked genes in the output of all investigated methods. This hybrid combination yielded seven genes (2 genes for HCC and 5 genes in different types of cancer in the top ten genes of the list of intersected genes. Conclusions To strengthen the effectiveness of the univariate selection methods, we propose a hybrid approach by intersecting several of these methods in a cascaded manner. This approach surpasses all of univariate selection methods when

Stability analysis of embedded nonlinear predictor neural generalized predictive controller

Directory of Open Access Journals (Sweden)

Hesham F. Abdel Ghaffar

2014-03-01

Full Text Available Nonlinear Predictor-Neural Generalized Predictive Controller (NGPC is one of the most advanced control techniques that are used with severe nonlinear processes. In this paper, a hybrid solution from NGPC and Internal Model Principle (IMP is implemented to stabilize nonlinear, non-minimum phase, variable dead time processes under high disturbance values over wide range of operation. Also, the superiority of NGPC over linear predictive controllers, like GPC, is proved for severe nonlinear processes over wide range of operation. The necessary conditions required to stabilize NGPC is derived using Lyapunov stability analysis for nonlinear processes. The NGPC stability conditions and improvement in disturbance suppression are verified by both simulation using Duffing’s nonlinear equation and real-time using continuous stirred tank reactor. Up to our knowledge, the paper offers the first hardware embedded Neural GPC which has been utilized to verify NGPC–IMP improvement in realtime.

The predictors of foot ulceration in patients with rheumatoid arthritis.

Science.gov (United States)

Firth, Jill; Waxman, Robin; Law, Graham; Nelson, E Andrea; Helliwell, Philip; Siddle, Heidi; Otter, Simon; Butters, Violet; Baker, Lesley; Hryniw, Rosemary; Bradley, Sarah; Loughrey, Lorraine; Alcacer-Pitarch, Begonya; Davies, Samantha; Tranter, Jennifer

2014-05-01

This study was conducted to determine the predictors of foot ulceration occurring in patients with rheumatoid arthritis (RA) without diabetes. A multi-centre case control study was undertaken; participants were recruited from eight sites (UK). Cases were adults diagnosed with RA (without diabetes) and the presence of a validated foot ulcer, defined as a full thickness skin defect occurring in isolation on / below the midline of the malleoli and requiring > 14 days to heal. Controls met the same criteria but were ulcer naive. Clinical examination included loss of sensation (10g monofilament); ankle-brachial pressure index (ABPI); forefoot deformity (Platto); plantar pressures (PressureStat); RA disease activity (36 swollen/tender joint counts) and the presence of vasculitis. History taking included past ulceration/foot surgery; current medication and smoking status. Participants completed the Health Assessment Questionnaire (HAQ) and Foot Impact Scale. A total of 83 cases with 112 current ulcers and 190 ulcer naïve controls participated. Cases were significantly older (mean age 71 years; 95 % confidence interval [CI], 69-73 vs. 62 years, 60-64) and had longer RA disease duration (mean 22 years; 19-25 vs. 15, 13-17). Univariate analysis showed that risk of ulceration increases with loss of sensation; abnormality of ABPI and foot deformity. Plantar pressures and joint counts were not significant predictors. HAQ score and history of foot surgery were strongly associated with ulceration (odds ratio [OR] = 1.704, 95 % CI 1.274-2.280 and OR = 2.256, 95 % CI 1.294-3.932). Three cases and two controls presented with suspected cutaneous vasculitis. In logistic regression modelling, ABPI (OR = 0.04; 95 % CI, 0.01-0.28) forefoot deformity (OR = 1.14; 95 % CI, 1.08-1.21) and loss of sensation (OR = 1.22; 95 % CI, 1.10-1.36) predicted risk of ulceration. In patients with RA, ABPI, forefoot deformity and loss of sensation predict risk of ulceration

Predictors of weight maintenance

NARCIS (Netherlands)

Pasman, W.J.; Saris, W.H.M.; Westerterp-Plantenga, M.S.

1999-01-01

Objective: To obtain predictors of weight maintenance after a weight-loss intervention. Research Methods and Procedures: An overall analysis of data from two-long intervention studies [n = 67 women; age: 37.9±1.0 years; body weight (BW): 87.0±1.2 kg; body mass index: 32.1±0.5 kg·m-2; % body fat:

Ninety day mortality and its predictors after primary shoulder arthroplasty: an analysis of 4,019 patients from 1976-2008

Directory of Open Access Journals (Sweden)

Singh Jasvinder A

2011-10-01

Full Text Available Abstract Background Examine 90-day postoperative mortality and its predictors following shoulder arthroplasty Methods We identified vital status of all adults who underwent primary shoulder arthroplasty (Total shoulder arthroplasty (TSA or humeral head replacement (HHR at the Mayo Clinic from 1976-2008, using the prospectively collected information from Total Joint Registry. We used univariate logistic regression models to assess the association of gender, age, body mass index, American Society of Anesthesiologist (ASA class, Deyo-Charlson comorbidity index, an underlying diagnosis and implant fixation with odds of 90-day mortality after TSA or HHR. Multivariable models additionally adjusted for the type of surgery (TSA versus HHR. Adjusted Odds ratio (OR with 95% confidence interval (CI were calculated. Results Twenty-eight of the 3, 480 patient operated died within 90-days of shoulder arthroplasty (0.8%. In multivariable-adjusted analyses, the following factors were associated with significantly higher odds of 90-day mortality: higher Deyo-Charlson index (OR, 1.54; 95% CI:1.39, 1.70; p Conclusions 90-day mortality following shoulder arthroplasty was low. An underlying diagnosis of tumor, higher comorbidity and higher ASA class were risk factors for higher 90-day mortality, while higher BMI was protective. Pre-operative comorbidity management may impact 90-day mortality following shoulder arthroplasty. A higher unadjusted mortality in patients undergoing TSA versus HHR may indicate the underlying differences in patients undergoing these procedures.

DRREP: deep ridge regressed epitope predictor.

Science.gov (United States)

Sher, Gene; Zhi, Degui; Zhang, Shaojie

2017-10-03

The ability to predict epitopes plays an enormous role in vaccine development in terms of our ability to zero in on where to do a more thorough in-vivo analysis of the protein in question. Though for the past decade there have been numerous advancements and improvements in epitope prediction, on average the best benchmark prediction accuracies are still only around 60%. New machine learning algorithms have arisen within the domain of deep learning, text mining, and convolutional networks. This paper presents a novel analytically trained and string kernel using deep neural network, which is tailored for continuous epitope prediction, called: Deep Ridge Regressed Epitope Predictor (DRREP). DRREP was tested on long protein sequences from the following datasets: SARS, Pellequer, HIV, AntiJen, and SEQ194. DRREP was compared to numerous state of the art epitope predictors, including the most recently published predictors called LBtope and DMNLBE. Using area under ROC curve (AUC), DRREP achieved a performance improvement over the best performing predictors on SARS (13.7%), HIV (8.9%), Pellequer (1.5%), and SEQ194 (3.1%), with its performance being matched only on the AntiJen dataset, by the LBtope predictor, where both DRREP and LBtope achieved an AUC of 0.702. DRREP is an analytically trained deep neural network, thus capable of learning in a single step through regression. By combining the features of deep learning, string kernels, and convolutional networks, the system is able to perform residue-by-residue prediction of continues epitopes with higher accuracy than the current state of the art predictors.

Anterior cruciate ligament reconstruction with 4-strand hamstring autograft and accelerated rehabilitation: a 10-year prospective study on clinical results, knee osteoarthritis and its predictors.

Science.gov (United States)

Janssen, Rob P A; du Mée, Arthur W F; van Valkenburg, Juliette; Sala, Harm A G M; Tseng, Carroll M

2013-09-01

Analysis of long-term clinical and radiological outcomes after anterior cruciate ligament (ACL) reconstruction with special attention to knee osteoarthritis and its predictors. A prospective, consecutive case series of 100 patients. Arthroscopic transtibial ACL reconstruction was performed using 4-strand hamstring tendon autografts with a standardized accelerated rehabilitation protocol. Analysis was performed preoperatively and 10 years postoperatively. Clinical examination included Lysholm and Tegner scores, IKDC, KT-1000 testing (MEDmetric Co., San Diego, CA, USA) and leg circumference measurements. Radiological evaluation included AP weight bearing, lateral knee, Rosenberg and sky view X-rays. Radiological classifications were according to Ahlbäck and Kellgren & Lawrence. Statistical analysis included univariate and multivariate logistic regressions. RESULTS CLINICAL OUTCOME: A significant improvement (p test, IKDC score and one-leg hop test. A pivot shift phenomenon (glide) was still present in 43 (50%) patients and correlated with lower levels of activity (p test. Transtibial ACL reconstruction with 4-strand hamstring autograft and accelerated rehabilitation restored anteroposterior knee stability. Clinical parameters and patient satisfaction improved significantly. At 10-year follow-up, radiological signs of OA were present in 53.5 % of the subjects. Risk factors for OA were meniscectomy prior to or at the time of ACL reconstruction and chondral lesions at the time of ACL reconstruction. II.

Predictors of nurses' experience of verbal abuse by nurse colleagues.

Science.gov (United States)

Keller, Ronald; Krainovich-Miller, Barbara; Budin, Wendy; Djukic, Maja

Between 45% and 94% of registered nurses (RNs) experience verbal abuse, which is associated with physical and psychological harm. Although several studies examined predictors of RNs' verbal abuse, none examined predictors of RNs' experiences of verbal abuse by RN colleagues. To examine individual, workplace, dispositional, contextual, and interpersonal predictors of RNs' reported experiences of verbal abuse from RN colleagues. In this secondary analysis, a cross-sectional design with multiple linear regression analysis was used to examine the effect of 23 predictors on verbal abuse by RN colleagues in a sample of 1,208 early career RNs. Selected variables in the empirical intragroup conflict model explained 23.8% of variance in RNs' experiences of verbal abuse by RN colleagues. A number of previously unstudied factors were identified that organizational leaders can monitor and develop or modify policies to prevent early career RNs' experiences of verbal abuse by RN colleagues. Copyright © 2017 Elsevier Inc. All rights reserved.

Epileptic seizure predictors based on computational intelligence techniques: a comparative study with 278 patients.

Science.gov (United States)

Alexandre Teixeira, César; Direito, Bruno; Bandarabadi, Mojtaba; Le Van Quyen, Michel; Valderrama, Mario; Schelter, Bjoern; Schulze-Bonhage, Andreas; Navarro, Vincent; Sales, Francisco; Dourado, António

2014-05-01

The ability of computational intelligence methods to predict epileptic seizures is evaluated in long-term EEG recordings of 278 patients suffering from pharmaco-resistant partial epilepsy, also known as refractory epilepsy. This extensive study in seizure prediction considers the 278 patients from the European Epilepsy Database, collected in three epilepsy centres: Hôpital Pitié-là-Salpêtrière, Paris, France; Universitätsklinikum Freiburg, Germany; Centro Hospitalar e Universitário de Coimbra, Portugal. For a considerable number of patients it was possible to find a patient specific predictor with an acceptable performance, as for example predictors that anticipate at least half of the seizures with a rate of false alarms of no more than 1 in 6 h (0.15 h⁻¹). We observed that the epileptic focus localization, data sampling frequency, testing duration, number of seizures in testing, type of machine learning, and preictal time influence significantly the prediction performance. The results allow to face optimistically the feasibility of a patient specific prospective alarming system, based on machine learning techniques by considering the combination of several univariate (single-channel) electroencephalogram features. We envisage that this work will serve as benchmark data that will be of valuable importance for future studies based on the European Epilepsy Database. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Bagging Weak Predictors

DEFF Research Database (Denmark)

Lukas, Manuel; Hillebrand, Eric

Relations between economic variables can often not be exploited for forecasting, suggesting that predictors are weak in the sense that estimation uncertainty is larger than bias from ignoring the relation. In this paper, we propose a novel bagging predictor designed for such weak predictor variab...

Temporal Evolution and Dose-Volume Histogram Predictors of Visual Acuity After Proton Beam Radiation Therapy of Uveal Melanoma

Energy Technology Data Exchange (ETDEWEB)

Polishchuk, Alexei L. [Department of Radiation Oncology, University of California, San Francisco, San Francisco, California (United States); Mishra, Kavita K., E-mail: Kavita.Mishra@ucsf.edu [Department of Radiation Oncology, University of California, San Francisco, San Francisco, California (United States); Weinberg, Vivian; Daftari, Inder K. [Department of Radiation Oncology, University of California, San Francisco, San Francisco, California (United States); Nguyen, Jacqueline M.; Cole, Tia B. [Tumori Foundation, San Francisco, California (United States); Quivey, Jeanne M.; Phillips, Theodore L. [Department of Radiation Oncology, University of California, San Francisco, San Francisco, California (United States); Char, Devron H. [Tumori Foundation, San Francisco, California (United States)

2017-01-01

Purpose: To perform an in-depth temporal analysis of visual acuity (VA) outcomes after proton beam radiation therapy (PBRT) in a large, uniformly treated cohort of uveal melanoma (UM) patients, to determine trends in VA evolution depending on pretreatment and temporally defined posttreatment VA measurements; and to investigate the relevance of specific patient, tumor and dose-volume parameters to posttreatment vision loss. Methods and Materials: Uveal melanoma patients receiving PBRT were identified from a prospectively maintained database. Included patients (n=645) received 56 GyE in 4 fractions, had pretreatment best corrected VA (BCVA) in the affected eye of count fingers (CF) or better, with posttreatment VA assessment at specified post-PBRT time point(s). Patients were grouped according to the pretreatment BCVA into favorable (≥20/40) or unfavorable (20/50-20/400) and poor (CF) strata. Temporal analysis of BCVA changes was described, and univariate and forward stepwise multivariate logistic regression analyses were performed to identify predictors for VA loss. Results: Median VA follow-up was 53 months (range, 3-213 months). At 60-month follow up, among evaluable treated eyes with favorable pretreatment BCVA, 45% retained BCVA ≥20/40, whereas among evaluable treated eyes with initially unfavorable/poor BCVA, 21% had vision ≥20/100. Among those with a favorable initial BCVA, attaining BCVA of ≥20/40 at any posttreatment time point was associated with subsequent maintenance of excellent BCVA. Multivariate analysis identified volume of the macula receiving 28GyE (P<.0001) and optic nerve (P=.0004) as independent dose-volume histogram predictors of 48-month post-PBRT vision loss among initially favorable treated eyes. Conclusions: Approximately half of PBRT-treated UM eyes with excellent pretreatment BCVA assessed at 5 years after treatment will retain excellent long-term vision. 28GyE macula and optic nerve dose-volume histogram parameters allow for

Incidence and Predictors for Ipsilateral Hydronephrosis Following Ureteroscopic Lithotripsy.

Science.gov (United States)

Barbour, Meredith L; Raman, Jay D

2015-09-01

To review our experience in using ureteroscopy (URS) with lithotripsy for renal or ureteral calculi to determine the incidence and predictors of postprocedural ipsilateral hydronephrosis. Records of 324 URS cases for renal or ureteral calculi with imaging performed 4-12 weeks postprocedure were reviewed. Ipsilateral hydronephrosis was determined by computed tomography scan or renal ultrasound. Univariate and multivariate analyses determined the factors associated with hydronephrosis. 176 men and 148 women with a median age of 50 years were included. Median stone size was 6 mm and operative duration was 60 minutes; 30% of patients had multiple calculi; and 35% had undergone a prior ipsilateral URS. Overall, 49 of 324 patients (15%) had evidence of hydronephrosis, with 65% of these patients having symptoms and 40% requiring ancillary procedures. On multivariate analysis, increasing stone diameter (odds ratio [OR] 8.9, 95% confidence interval [CI] 1.9-23.8, P = .03), prior ipsilateral URS (OR 7.7, 95% CI 1.8-28.2, P = .006), longer operative duration (OR 6.5, 95% CI 1.8-16.3, P = .02), and renal colic symptoms (OR 48.3, 95% CI 14.7-71.4, P hydronephrosis. Conversely, other factors including stone impaction at procedure, ureteral dilation, use of an access sheath, intraoperative perforation, or use of a stent did not associate with ipsilateral hydronephrosis. In this contemporary cohort study, 15% of patients undergoing URS had evidence of ipsilateral hydronephrosis. Larger stone size, longer OR duration, prior ipsilateral URS, and recurrent colic were associated with an increased likelihood for this observation. Patients and stone cases with such characteristics likely warrant imaging modalities beyond plain radiography. Copyright © 2015 Elsevier Inc. All rights reserved.

Incidence and predictors of oral feeding intolerance in acute pancreatitis: A systematic review, meta-analysis, and meta-regression.

Science.gov (United States)

Bevan, Melody G; Asrani, Varsha M; Bharmal, Sakina; Wu, Landy M; Windsor, John A; Petrov, Maxim S

2017-06-01

Tolerance of oral food is an important criterion for hospital discharge in patients with acute pancreatitis. Patients who develop oral feeding intolerance have prolonged hospitalisation, use additional healthcare resources, and have impaired quality of life. This study aimed to quantify the incidence of oral feeding intolerance, the effect of confounders, and determine the best predictors of oral feeding intolerance. Clinical studies indexed in three electronic databases (EMBASE, MEDLINE, and the Cochrane Central Register of Controlled Trials) were reviewed. Incidence and predictor data were meta-analysed and possible confounders were investigated by meta-regression analysis. A total of 22 studies with 2024 patients met the inclusion criteria, 17 of which (with 1550 patients) were suitable for meta-analysis. The incidence of oral feeding intolerance was 16.3%, and was not affected by WHO region, age, sex, or aetiology of acute pancreatitis. Nine of the 22 studies investigated a total of 62 different predictors of oral feeding intolerance. Serum lipase level prior to refeeding, pleural effusions, (peri)pancreatic collections, Ranson score, and Balthazar score were found to be statistically significant in meta-analyses. Oral feeding intolerance affects approximately 1 in 6 patients with acute pancreatitis. Serum lipase levels of more than 2.5 times the upper limit of normal prior to refeeding is a potentially useful threshold to identify patients at high risk of developing oral feeding intolerance. Copyright © 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Impact of tumour volume on prediction of progression-free survival in sinonasal cancer

International Nuclear Information System (INIS)

Hennersdorf, Florian; Mauz, Paul-Stefan; Adam, Patrick; Welz, Stefan; Sievert, Anne; Ernemann, Ulrike; Bisdas, Sotirios

2015-01-01

The present study aimed to analyse potential prognostic factors, with emphasis on tumour volume, in determining progression free survival (PFS) for malignancies of the nasal cavity and the paranasal sinuses. Retrospective analysis of 106 patients with primary sinonasal malignancies treated and followed-up between March 2006 and October 2012. Possible predictive parameters for PFS were entered into univariate and multivariate Cox regression analysis. Kaplan-Meier curve analysis included age, sex, baseline tumour volume (based on MR imaging), histology type, TNM stage and prognostic groups according to the American Joint Committee on Cancer (AJCC) classification. Receiver operating characteristic (ROC) curve analysis concerning the predictive value of tumour volume for recurrence was also conducted. The main histological subgroup consisted of epithelial tumours (77%). The majority of the patients (68%) showed advanced tumour burden (AJCC stage III–IV). Lymph node involvement was present in 18 cases. The mean tumour volume was 26.6 ± 21.2 cm 3 . The median PFS for all patients was 24.9 months (range: 2.5–84.5 months). The ROC curve analysis for the tumour volume showed 58.1% sensitivity and 75.4% specificity for predicting recurrence. Tumour volume, AJCC staging, T- and N- stage were significant predictors in the univariate analysis. Positive lymph node status and tumour volume remained significant and independent predictors in the multivariate analysis. Radiological tumour volume proofed to be a statistically reliable predictor of PFS. In the multivariate analysis, T-, N- and overall AJCC staging did not show significant prognostic value

Frailty as a predictor of mortality in the elderly emergency general surgery patient.

Science.gov (United States)

Goeteyn, Jens; Evans, Louis A; De Cleyn, Siem; Fauconnier, Sigrid; Damen, Caroline; Hewitt, Jonathan; Ceelen, Wim

2017-12-01

The number of surgical procedures performed in elderly and frail patients has greatly increased in the last decades. However, there is little research in the elderly emergency general surgery patient. The aim of this study was to assess the prevalence of frailty in the emergency general surgery population in Belgium. Secondly, we examined the length of hospital stay, readmission rate and mortality at 30 and 90 days. We conducted a prospective observational study at Ghent University Hospital. All patients older than 65 admitted to a general surgery ward from the emergency department were eligible for inclusion. Primary endpoint was mortality at 30 days. Secondary outcomes were mortality at 90 days, readmissions and length of stay. Cross-sectional observations were performed using the Fisher exact test, Mann-Whitney U-test, or one-way ANOVA. We performed a COX multivariable analysis to identify independent variables associated with mortality at 30 and 90 days as well as the readmission risk. Data were collected from 98 patients in a four-month period. 23.5% of patients were deemed frail. 79% of all patients underwent abdominal surgery. Univariate analyses showed that polypharmacy, multimorbidity, a history of falls, hearing impairment and urinary incontinence were statistically significantly different between the non-frail and the group. Frail patients showed a higher incidence for mortality within 30 days (9% versus 1.3% (p = .053)). There were no differences between the two groups for mortality at 90 days, readmission, length of stay and operation. Frailty was a predictor for mortality at 90 days (p= .025) (hazard ratio (HR) 10.83 (95%CI 1.34-87.4)). Operation (p= .084) (HR 0.16 (95%CI 0.16-1.29)) and the presence of chronic cardiac failure (p= .049) (HR 0.38 (95%CI 0.14-0.99)) were protective for mortality at 90 days. Frailty is a significant predictor for mortality for elderly patients undergoing emergency abdominal/general surgery. Level II therapeutic

Factors predictive of the onset and duration of action of local anesthesia in mandibular third-molar surgery: a prospective study.

Science.gov (United States)

Al-Shayyab, Mohammad H; Baqain, Zaid H

2018-04-01

The aim of this study was to assess the influence of patients' and surgical variables on the onset and duration of action of local anesthesia (LA) in mandibular third-molar (M3) surgery. Patients scheduled for mandibular M3 surgery were considered for inclusion in this prospective cohort study. Patients' and surgical variables were recorded. Two per cent (2%) lidocaine with 1:100,000 epinephrine was used to block the nerves for extraction of mandibular M3. Then, the onset of action and duration of LA were monitored. Univariate analysis and multivariate regression analysis were used to analyze the data. The final cohort included 88 subjects (32 men and 56 women; mean age ± SD = 29.3 ± 12.3 yr). With univariate analysis, age, gender, body mass index (BMI), smoking quantity and duration, operation time, and 'volume of local anesthetic needed' significantly influenced the onset of action and duration of LA. Multivariate regression revealed that age and smoking quantity were the only statistically significant predictors of the onset of action of LA, whereas age, smoking quantity, and 'volume of local anesthetic needed' were the only statistically significant predictors of duration of LA. Further studies are recommended to uncover other predictors of the onset of action and duration of LA. © 2018 Eur J Oral Sci.

Lymphocyte density determined by computational pathology validated as a predictor of response to neoadjuvant chemotherapy in breast cancer: secondary analysis of the ARTemis trial.

Science.gov (United States)

Ali, H R; Dariush, A; Thomas, J; Provenzano, E; Dunn, J; Hiller, L; Vallier, A-L; Abraham, J; Piper, T; Bartlett, J M S; Cameron, D A; Hayward, L; Brenton, J D; Pharoah, P D P; Irwin, M J; Walton, N A; Earl, H M; Caldas, C

2017-08-01

We have previously shown lymphocyte density, measured using computational pathology, is associated with pathological complete response (pCR) in breast cancer. The clinical validity of this finding in independent studies, among patients receiving different chemotherapy, is unknown. The ARTemis trial randomly assigned 800 women with early stage breast cancer between May 2009 and January 2013 to three cycles of docetaxel, followed by three cycles of fluorouracil, epirubicin and cyclophosphamide once every 21 days with or without four cycles of bevacizumab. The primary endpoint was pCR (absence of invasive cancer in the breast and lymph nodes). We quantified lymphocyte density within haematoxylin and eosin (H&E) whole slide images using our previously described computational pathology approach: for every detected lymphocyte the average distance to the nearest 50 lymphocytes was calculated and the density derived from this statistic. We analyzed both pre-treatment biopsies and post-treatment surgical samples of the tumour bed. Of the 781 patients originally included in the primary endpoint analysis of the trial, 609 (78%) were included for baseline lymphocyte density analyses and a subset of 383 (49% of 781) for analyses of change in lymphocyte density. The main reason for loss of patients was the availability of digitized whole slide images. Pre-treatment lymphocyte density modelled as a continuous variable was associated with pCR on univariate analysis (odds ratio [OR], 2.92; 95% CI, 1.78-4.85; P < 0.001) and after adjustment for clinical covariates (OR, 2.13; 95% CI, 1.24-3.67; P = 0.006). Increased pre- to post-treatment lymphocyte density showed an independent inverse association with pCR (adjusted OR, 0.1; 95% CI, 0.033-0.31; P < 0.001). Lymphocyte density in pre-treatment biopsies was validated as an independent predictor of pCR in breast cancer. Computational pathology is emerging as a viable and objective means of identifying predictive biomarkers

PREDICTIVE FACTORS FOR THE PROGRESSION OF CHRONIC CHAGAS CARDIOMYOPATHY IN PATIENTS WITHOUT LEFT VENTRICULAR DYSFUNCTION

Directory of Open Access Journals (Sweden)

Silvana de Araújo SILVA

2015-04-01

Full Text Available The identification of predictors for the progression of chronic Chagas cardiomyopathy (CCC is essential to ensure adequate patient management. This study looked into a non-concurrent cohort of 165 CCC patients between 1985 and 2010 for independent predictors for CCC progression. The outcomes were worsening of the CCC scores and the onset of left ventricular dysfunction assessed by means of echo-Doppler cardiography. Patients were analyzed for social, demographic, epidemiologic, clinical and workup-related variables. A descriptive analysis was conducted, followed by survival curves based on univariate (Kaplan-Meier and Cox’s univariate model and multivariate (Cox regression model analysis. Patients were followed from two to 20 years (mean: 8.2. Their mean age was 44.8 years (20-77. Comparing both iterations of the study, in the second there was a statistically significant increase in the PR interval and in the QRS duration, despite a reduction in heart rates (Wilcoxon < 0.01. The predictors for CCC progression in the final regression model were male gender (HR = 2.81, Holter monitoring showing pauses equal to or greater than two seconds (HR = 3.02 increased cardiothoracic ratio (HR = 7.87 and time of use of digitalis (HR = 1.41. Patients with multiple predictive factors require stricter follow-up and treatment.

Analysis of factors affecting local tumor progression of colorectal cancer liver metastasis after radiofrequency ablation

Energy Technology Data Exchange (ETDEWEB)

Jeon, Seong Hee; Cho, Yun Ku; Choi, Seung A; Kim, Mi Young; Lee, Ho Suk [Veterans Health Service Medical Center, Seoul (Korea, Republic of)

2017-03-15

The purpose of this study was to evaluate the independent predictive factors for local tumor progression (LTP) of colorectal liver metastasis (CRLM) after radiofrequency ablation (RFA). Patients with CRLM were included in the analysis if nodules were up to five in number, each nodule was ≤ 5 cm, and RFA was performed in our center from January 2006 to December 2015. Univariate and multivariate analyses to identify the predictors of LTP were performed by using a Cox proportional hazard model. Overall, 58 tumors from 38 patients were included in this study. LTP occurred in 14 tumors from 9 patients. The overall 1- and 3-year LTP rates were 23.5% and 29.4%, respectively. Multivariate analysis showed that tumor size > 2 cm and insufficient ablative margin were two independently significant adverse prognostic factors for LTP (p = 0.045 and 0.022, respectively). The 3-year LTP rates for 33 and 25 tumors with and without sufficient ablative margin were 4.5% and 61.2%, respectively. The difference was statistically significant (p < 0.001). The difference in the 3-year LTP rates according to the tumor size was not statistically significant (p = 0.791). Insufficient ablative margin seems to be the most potent predictor of LTP after RFA of CRLM.

Predictors of mortality in patients with extensively drug-resistant Acinetobacter baumannii pneumonia receiving colistin therapy.

Science.gov (United States)

Choi, Ik Sung; Lee, Yu Ji; Wi, Yu Mi; Kwan, Byung Soo; Jung, Kae Hwa; Hong, Woong Pyo; Kim, June Myong

2016-08-01

The ratio of the area under the free (unbound) concentration-time curve to minimum inhibitory concentration (fAUC/MIC) was proposed to be the pharmacokinetic/pharmacodynamic index most strongly linked to the antibacterial effect of colistin against Acinetobacter baumannii. A retrospective study of patients who received colistin to treat pneumonia caused by extensively drug-resistant (XDR) A. baumannii over a 4-year period was performed to assess the impact of the colistin MIC on mortality. A total of 227 patients were included in the analysis. The 7-day and 14-day mortality rates of patients with XDR A. baumannii pneumonia receiving colistin therapy were 15.0% and 23.8%, respectively. In the multivariate analysis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, days from index culture to first dose of colistin, underlying tumour and septic shock at presentation were independent predictors of mortality in patients with XDR A. baumannii pneumonia receiving colistin therapy. In the univariate analysis, the colistin dose based on ideal body weight (IBW) correlated with patient outcome. Therefore, the use of IBW appeared to be more appropriate to calculate the colistin dosage. In addition, these results highlight the clinical significance of colistin MIC in patients with XDR A. baumannii pneumonia receiving colistin therapy. Although MICs were in the 'susceptible' range, patients infected with isolates with high colistin MICs showed a poorer clinical response rate than patients infected with isolates with low colistin MICs. Further clinical studies are needed to evaluate the roles of colistin MIC for predicting mortality in XDR A. baumannii pneumonia with a high colistin MIC. Copyright © 2016 Elsevier B.V. and International Society of Chemotherapy. All rights reserved.

Predictors of seasonal influenza vaccination behaviour among nurses and implications for interventions to increase vaccination uptake: A cross-sectional survey.

Science.gov (United States)

Kan, Ting; Ai, Jiaqi; Zhang, Jing; Liu, Xiaohong

2018-03-01

Vaccination has been proven the most effective method to prevent seasonal influenza. Nurses' vaccination can provide protection against influenza not only for themselves but also for patients they take care of. However, vaccination coverage of nurses is suboptimal worldwide, especially in China. The influencing factors need to be explored so as to develop specific, workable strategies to improve nurses' vaccination behaviour. To explore predictors of their vaccination behaviour, identify the motivators and barriers of vaccination, and provide implications for future interventions. A cross-sectional convenience sampling questionnaire survey. Nine hospitals including five tertiary hospitals, two secondary hospitals, and two primary hospitals in Shanghai, China. A total of 1000 nurses from the nine hospitals were invited to participate in this survey. Among them, 921 nurses responded and 895 returned valid questionnaires that were used in data analysis. The Chinese version of the King's Nurses' Influenza Vaccination Questionnaire was used as the survey instrument and distributed to the participants during February-November 2012. Descriptive statistics, univariate analyses, and multivariate analyses were conducted to explore the predictors of nurses' vaccination behaviour. Overall, 8.8% of the respondents received seasonal influenza vaccination in the past influenza season (2011/2012 season). Nurses had averagely received 0.38 ± 0.71 influenza vaccines during the past five influenza seasons (2007/2008 to 2011/2012 season). Predictors of nurses' vaccination status were clinical specialty, knowledge about influenza vaccination [1.331 (1.102, 1.608), p = 0.003], internal health locus of control [0.910 (0.845, 0.980), p = 0.013], chance health locus of control [1.075 (1.023, 1.130), p = 0.004]and powerful others health of locus control [1.166 (1.083, 1.255), p behaviour against seasonal influenza. Vaccination coverage in this population was suboptimal

Risk of isolated nodal failure for non-small cell lung cancer (NSCLC) treated with the elective nodal irradiation (ENI) using 3D-conformal radiotherapy (3D-CRT) techniques--a retrospective analysis.

Science.gov (United States)

Kepka, Lucyna; Bujko, Krzysztof; Zolciak-Siwinska, Agnieszka

2008-01-01

To estimate retrospectively the rate of isolated nodal failures (INF) in NSCLC patients treated with the elective nodal irradiation (ENI) using 3D-conformal radiotherapy (3D-CRT). One hundred and eighty-five patients with I-IIIB stage treated with 3D-CRT in consecutive clinical trials differing in an extent of the ENI were analyzed. According to the extent of the ENI, two groups were distinguished: extended (n = 124) and limited (n = 61) ENI. INF was defined as regional nodal failure occurring without local progression. Cumulative Incidence of INF (CIINF) was evaluated by univariate and multivariate analysis with regard to prognostic factors. With a median follow up of 30 months, the two-year actuarial overall survival was 35%. The two-year CIINF rate was 12%. There were 16 (9%) INF, eight (6%) for extended and eight (13%) for limited ENI. In the univariate analysis bulky mediastinal disease (BMD), left side, higher N stage, and partial response to RT had a significant negative impact on the CIINF. BMD was the only independent predictor of the risk of incidence of the INF (p = 0.001). INF is more likely to occur in case of more advanced nodal status.

Executive dysfunctions as a good predictor of misuse of respiratory inhalers among hospitalized patients: a prospective survey.

Science.gov (United States)

Voulhoux, Lucie; Cremer, Gérald; Spinewine, Anne; de Saint-Hubert, Marie; Amant, Fabienne; Sohy, Carine; Schoevaerdts, Didier

2017-09-01

The objectives of the study are to determine the prevalence and potential risk factors of misuse of respiratory inhalers among hospitalized patients admitted at the CHU UcL Namur, site Godinne. Using a cross-sectional design, patients using respiratory inhalers since more than 7 days were recruited from a database established by the hospital pharmacy. Inhaler technique was assessed using a standardised check-list and graded misuse as major or minor errors using previously published criteria. Demographic and clinical data were prospectively collected using standardised tools. Among the 100 consecutive patients selected for the study (median of age: 68 years), the prevalence of misuse was 40%. According to univariate analysis, main risk factors of misuse were age, executive dysfunction, a low grip strength, a low level of manual dexterity and the type of inhaler used. The best predictor of misuse according to multivariate analysis was executive dysfunction as assessed by the BREF scale (batterie rapide d'efficience frontale) (adjusted odds ratio: 1.35 [CI95%: 1.11-1.64]; p: 0.002). A BREF score ≤ 12/18 was associated with a six-fold increase of respiratory inhaler misuse risk. We conclude that executive dysfunction is associated with a higher risk of respiratory inhalers misuse. A short screening of executive function, using the BREF scale, before starting respiratory inhaler may improve the selection of inhaler devices and therefore the compliance to treatment.

The Use of Univariate and Multivariate Analyses in the Geochemical Exploration, Ravanj Lead Mine, Delijan, Iran

Directory of Open Access Journals (Sweden)

Mostafa Nejadhadad

2017-11-01

Full Text Available A geochemical exploration program was applied to recognize the anomalous geochemical haloes at the Ravanj lead mine, Delijan, Iran. Sampling of unweathered rocks were undertaken across rock exposures on a 10 × 10 meter grid (n = 302 as well as the accessible parts of underground mine A (n = 42. First, the threshold values of all elements were determined using the cut-off values used in the exploratory data analysis (EDA method. Then, for further studies, elements with lognormal distributions (Pb, Zn, Ag, As, Cd, Co, Cu, Sb, S, Sr, Th, Ba, Bi, Fe, Ni and Mn were selected. Robustness against outliers is achieved by application of central log ratio transformation to address the closure problems with compositional data prior to principle components analysis (PCA. Results of these analyses show that, in the Ravanj deposit, Pb mineralization is characterized by a Pb-Ba-Ag-Sb ± Zn ± Cd association. The supra-mineralization haloes are characterized by barite and tetrahedrite in a Ba- Th- Ag- Cu- Sb- As- Sr association and sub-mineralization haloes are comprised of pyrite and tetrahedrite, probably reflecting a Fe-Cu-As-Bi-Ni-Co-Mo-Mn association. Using univariate and multivariate geostatistical analyses (e.g., EDA and robust PCA, four anomalies were detected and mapped in Block A of the Ravanj deposit. Anomalies 1 and 2 are around the ancient orebodies. Anomaly 3 is located in a thin bedded limestone-shale intercalation unit that does not show significant mineralization. Drilling of the fourth anomaly suggested a low grade, non-economic Pb mineralization.

Risk assessment tool for incontinence-associated dermatitis in elderly patients combining tissue tolerance and perineal environment predictors: a prospective clinical study

Directory of Open Access Journals (Sweden)

Ichikawa-Shigeta Y

2014-10-01

Full Text Available Yoshie Ichikawa-Shigeta,1 Hiromi Sanada,2 Chizuko Konya,3 Saldy Yusuf,1 Supriadi,1 Junko Sugama11Department of Clinical Nursing, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan; 2Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; 3Department of Adult Nursing, Kanazawa Medical University, Ishikawa, JapanBackground: Elderly patients with incontinence are at risk of developing incontinence-associated dermatitis (IAD. Although perineal risk factors of IAD have been identified, the contribution of tissue tolerance to IAD remains poorly understood.Objective: This study aimed to identify predictors of IAD development in three categories of potential risk factors: perineal environment, tissue tolerance, and toileting ability.Methods: This was a prospective clinical study, conducted at a long-term medical facility in Japan between November 2011 and April 2012. The subjects were elderly female patients with urine and/or fecal incontinence, and constantly wearing absorbent products. The patients were monitored during 42 days for the onset of IAD and the emergence of potential risk factors of IAD related to tissue tolerance (skin hydration status, maceration, erythema index [EI], etc, perineal environment (urination, stool properties, etc, and toileting ability (mobility and cognitive awareness. The risk factors were identified by univariate and multiple logistic regression analysis. Receiver operating characteristic (ROC curve analysis was conducted to evaluate the predictive validity of the risk factors.Results: Among the 46 patients enrolled, IAD developed in 25 (54.3%. The factors significantly associated with IAD development were loose or liquid stools (odds ratio [OR]: 20.612, 95% confidence interval [CI]: 1.118–379.852, P=0.042, malodorous urine (OR: 37.094, 95% CI: 3.480–395.399, P=0.003, and EI ≥46 (OR: 35.191, 95% CI: 5

RS-WebPredictor

DEFF Research Database (Denmark)

Zaretzki, J.; Bergeron, C.; Huang, T.-W.

2013-01-01

Regioselectivity-WebPredictor (RS-WebPredictor) is a server that predicts isozyme-specific cytochrome P450 (CYP)-mediated sites of metabolism (SOMs) on drug-like molecules. Predictions may be made for the promiscuous 2C9, 2D6 and 3A4 CYP isozymes, as well as CYPs 1A2, 2A6, 2B6, 2C8, 2C19 and 2E1....... RS-WebPredictor is the first freely accessible server that predicts the regioselectivity of the last six isozymes. Server execution time is fast, taking on average 2s to encode a submitted molecule and 1s to apply a given model, allowing for high-throughput use in lead optimization projects.......Availability: RS-WebPredictor is accessible for free use at http://reccr.chem.rpi.edu/ Software/RS-WebPredictor....

Dose-volume histogram analysis as predictor of radiation pneumonitis in primary lung cancer patients treated with radiotherapy

International Nuclear Information System (INIS)

Fay, Michael; Tan, Alex; Fisher, Richard; Mac Manus, Michael; Wirth, Andrew; Ball, David

2005-01-01

Purpose: To determine the relationship between various parameters derived from lung dose-volume histogram analysis and the risk of symptomatic radiation pneumonitis (RP) in patients undergoing radical radiotherapy for primary lung cancer. Methods and Materials: The records of 156 patients with lung cancer who had been treated with radical radiotherapy (≥45 Gy) and for whom dose-volume histogram data were available were reviewed. The incidence of symptomatic RP was correlated with a variety of parameters derived from the dose-volume histogram data, including the volume of lung receiving 10 Gy (V 10 ) through 50 Gy (V 50 ) and the mean lung dose (MLD). Results: The rate of RP at 6 months was 15% (95% confidence interval 9-22%). On univariate analysis, only V 30 (p = 0.036) and MLD (p = 0.043) were statistically significantly related to RP. V 30 correlated highly positively with MLD (r = 0.96, p 30 and MLD can be used to predict the risk of RP in lung cancer patients undergoing radical radiotherapy

Frailty as a Predictor of Future Falls Among Community-Dwelling Older People: A Systematic Review and Meta-Analysis.

Science.gov (United States)

Kojima, Gotaro

2015-12-01

Although multiple longitudinal studies have investigated frailty as a predictor of future falls, the results were mixed. Thus far, no systematic review or meta-analysis on this topic has been conducted. To review the evidence of frailty as a predictor of future falls among community-dwelling older people. Systematic review of literature and meta-analysis were performed using 6 electronic databases (Embase, Scopus, MEDLINE, CINAHL Plus, PsycINFO, and the Cochrane Library) searching for studies that prospectively examined risk of future fall risk according to frailty among community-dwelling older people published from 2010 to April 2015 with no language restrictions. Of 2245 studies identified through the systematic review, 11 studies incorporating 68,723 individuals were included in the meta-analysis. Among 7 studies reporting odds ratios (ORs), frailty and prefrailty were significantly associated with higher risk of future falls (pooled OR = 1.84, 95% confidence interval [95% CI] = 1.43-2.38, P dwelling older people despite various criteria used to define frailty. The future fall risk according to frailty seemed to be higher in men than in women. Copyright © 2015 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Design and analysis of modified Smith predictors for self-regulating and non-self regulating processes with dead time

CERN Document Server

Saravanakumar, G; Nayak, C G

2007-01-01

A modification of Smith predictor for controlling the higher order processes with integral action ad long dead-time is proposed in this paper. The controller used in this Smith predictor is an Integral-Proportional Derivative controller, where the Integrator is in the forward path and the Proportional and Derivative control are in the feedback, acting on the feedback signal. The main objective of this paper is to design a Dead Time Compensator(DTC), which has minimum tuning parameters, simple controller tuning, robust performance of tuning formulae and to obtain a critically damped system which is as fast as possible in its setpoint and load disturbance rejection performance. The controller in this paper is tuned by an adaptive method. This paper also presents a survey of various dead time compensators and their performance analysis.

Probability and predictors of cannabis use disorders relapse: results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

Science.gov (United States)

Flórez-Salamanca, Ludwing; Secades-Villa, Roberto; Budney, Alan J; García-Rodríguez, Olaya; Wang, Shuai; Blanco, Carlos

2013-09-01

This study aims to estimate the odds and predictors of Cannabis Use Disorders (CUD) relapse among individuals in remission. Analyses were done on the subsample of individuals with lifetime history of a CUD (abuse or dependence) who were in full remission at baseline (Wave 1) of the National Epidemiological Survey of Alcohol and Related Conditions (NESARC) (n=2350). Univariate logistic regression models and hierarchical logistic regression model were implemented to estimate odds of relapse and identify predictors of relapse at 3 years follow up (Wave 2). The relapse rate of CUD was 6.63% over an average of 3.6 year follow-up period. In the multivariable model, the odds of relapse were inversely related to time in remission, whereas having a history of conduct disorder or a major depressive disorder after Wave 1 increased the risk of relapse. Our findings suggest that maintenance of remission is the most common outcome for individuals in remission from a CUD. Treatment approaches may improve rates of sustained remission of individuals with CUD and conduct disorder or major depressive disorder. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Predictors of Postoperative Complications After Trimodality Therapy for Esophageal Cancer

International Nuclear Information System (INIS)

Wang, Jingya; Wei, Caimiao; Tucker, Susan L.; Myles, Bevan; Palmer, Matthew; Hofstetter, Wayne L.; Swisher, Stephen G.; Ajani, Jaffer A.; Cox, James D.; Komaki, Ritsuko; Liao, Zhongxing; Lin, Steven H.

2013-01-01

Purpose: While trimodality therapy for esophageal cancer has improved patient outcomes, surgical complication rates remain high. The goal of this study was to identify modifiable factors associated with postoperative complications after neoadjuvant chemoradiation. Methods and Materials: From 1998 to 2011, 444 patients were treated at our institution with surgical resection after chemoradiation. Postoperative (pulmonary, gastrointestinal [GI], cardiac, wound healing) complications were recorded up to 30 days postoperatively. Kruskal-Wallis tests and χ 2 or Fisher exact tests were used to assess associations between continuous and categorical variables. Multivariate logistic regression tested the association between perioperative complications and patient or treatment factors that were significant on univariate analysis. Results: The most frequent postoperative complications after trimodality therapy were pulmonary (25%) and GI (23%). Lung capacity and the type of radiation modality used were independent predictors of pulmonary and GI complications. After adjusting for confounding factors, pulmonary and GI complications were increased in patients treated with 3-dimensional conformal radiation therapy (3D-CRT) versus intensity modulated radiation therapy (IMRT; odds ratio [OR], 2.018; 95% confidence interval [CI], 1.104-3.688; OR, 1.704; 95% CI, 1.03-2.82, respectively) and for patients treated with 3D-CRT versus proton beam therapy (PBT; OR, 3.154; 95% CI, 1.365-7.289; OR, 1.55; 95% CI, 0.78-3.08, respectively). Mean lung radiation dose (MLD) was strongly associated with pulmonary complications, and the differences in toxicities seen for the radiation modalities could be fully accounted for by the MLD delivered by each of the modalities. Conclusions: The radiation modality used can be a strong mitigating factor of postoperative complications after neoadjuvant chemoradiation

High school achievement as a predictor for university performance

Directory of Open Access Journals (Sweden)

Meshkani Z

2004-07-01

Full Text Available Background: The high-school grade point average ( GPA-H and university entrance examination can predict the university achievement and Purpose. To examine the predictive value of GPA-H for GPA-U Methods: In this cross sectional study, the subjects were 240 medical students at basic science phase of their medical education. Data were collected by a questionnaire, consisting of questions measuring factual background variable and 10 Llikert-type questions measuring attitude. The multiple regression analysis was used. Results: The analysis showed that student GPA were a better predictor for educational achievement of medical students than rank on university entrance exam and students with high GPA have not been on probation at all. Also parent's education and occupation influence the students' attitudes toward their medical study. Conclusion: High-school GPA is a predictor for university GPA .This may warrant further investigation into criteria of medical university entrance exam. Keywords: UNIVERSITY ACHIEVEMENT, HIGH-SCHOOL GPA, UNIVERSITY SUCCESS, PREDICTOR

Post Hoc Analysis of Potential Predictors of Response to Atomoxetine for the Treatment of Adults with Attention-Deficit/Hyperactivity Disorder using an Integrated Database.

Science.gov (United States)

Bushe, Chris; Sobanski, Esther; Coghill, David; Berggren, Lovisa; De Bruyckere, Katrien; Leppämäki, Sami

2016-04-01

Responses to atomoxetine vary for individual patients with attention-deficit/hyperactivity disorder (ADHD). However, we do not know whether any factors can be used to reliably predict how individuals with ADHD will respond to treatment. Our objective was to evaluate background variables that facilitate early identification of those adults with ADHD who are likely to respond to treatment with atomoxetine. We pooled data for atomoxetine-treated adults with ADHD from 12 clinical trials for a short-term (10-week) analysis, and from 11 clinical trials for a long-term (24-week) analysis. Patients not meeting a response definition [≥30 % reduction in Conners' Adult ADHD Rating Scales-Investigator Rated: Screening Version (CAARS-Inv:SV) total score and Clinical Global Impressions of ADHD Severity Scale (CGI-S) score ≤3 at endpoint], or who discontinued, were defined as non-responders. Another definition of response (≥30 % reduction in CAARS-Inv:SV total score at endpoint) was also used in these analyses; only the results with the former definition are shown in this abstract, as the same conclusions were gained with both definitions. A treatment-specified subgroup detection tool (a resampling-based ensemble tree method) was used to identify predictors of response. Of 1945 adults in the long-term analysis, 548 (28.2 %) were responders to atomoxetine at week 24; 65.2 % of 1397 non-responders had discontinued. Of 4524 adults in the short-term analysis, 1490 (32.9 %) were responders at week 10; 33.2 % of 1006 non-responders had discontinued. No analyzed baseline parameters (age, sex, prior stimulant use, ADHD subtype, CAARS-Inv:SV, CGI-S) were statistically significant predictors of response. Reductions in CAARS-Inv:SV total, CAARS-Inv:SV subscores, and CGI-S at week 4 in the short-term analysis, and at weeks 4 or 10 in the long-term analysis, were statistically significant predictors of response, i.e., patients with versus without these reductions early in

Predictors of Grade 3 or Higher Late Bowel Toxicity in Patients Undergoing Pelvic Radiation for Cervical Cancer: Results From a Prospective Study

Energy Technology Data Exchange (ETDEWEB)

Chopra, Supriya, E-mail: schopra@actrec.gov.in [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra (India); Dora, Tapas [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra (India); Chinnachamy, Anand N. [Department of Radiation Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel, Mumbai, Maharashtra (India); Thomas, Biji [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra (India); Kannan, Sadhna [Epidemiology and Clinical Trials Unit, Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra (India); Engineer, Reena; Mahantshetty, Umesh [Department of Radiation Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel, Mumbai, Maharashtra (India); Phurailatpam, Reena; Paul, Siji N. [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra (India); Shrivastava, Shyam Kishore [Department of Radiation Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel, Mumbai, Maharashtra (India)

2014-03-01

Purpose: The present study investigates relationship between dose–volume parameters and severe bowel toxicity after postoperative radiation treatment (PORT) for cervical cancer. Methods and Materials: From June 2010 to December 2012, a total of 71 patients undergoing PORT were included. Small bowel (SB) and large bowel (LB) loops were contoured 2 cm above the target volume. The volume of SB and LB that received 15 Gy, 30 Gy, and 40 Gy was calculated (V15 SB, V15 LB, V30 SB, V30 LB, V40 SB, V 40 LB). On follow-up, bowel toxicity was scored using Common Terminology Criteria for Adverse Events (CTCAE), version 3.0. A reciever operating characteristic (ROC) curve identified volume thresholds that predicted for grade 3 or higher toxicity with highest specificity. All data was dichotomized across these identified cut-off values. Univariate and multivariate analysis was performed using SPSS, version 15. Results: The median patient age was 47 years (range, 35-65 years). Of the 71 patients, 46 received image-guided intensity modulated radiation therapy, and 25 received conformal radiation (50 Gy in 25 fractions for 5 weeks). Overall, 63 of 71 patients received concurrent chemotherapy. On a median follow-up of 18 months (range, 8-29 months), grade 2 or higher bowel toxicity was seen in 22 of 71 patients (30.9%) and grade 3 or higher bowel toxicity was seen in 9 patients (12.6%). On univariate analysis, V15 SB <275 cc (P=.01), V30 SB <190 cc (P=.02), V40 SB <150 cc (P=.01), and V15 LB <250 cc (P=.03), and V40 LB <90 cc (P=.04) predicted for absence of grade 3 or higher toxicity. No other patient- or treatment-related factors were statistically significant. On multivariate analysis, only V15 SB (P=.002) and V15 LB (P=.03) were statistically significant. Conclusions: V 15 Gy SB and LB are independent predictors of late grade 3 or higher toxicity. Restricting V15 SB and V15 LB to <275 cc and <250 cc can reduce grade 3 or higher toxicity to less than 5%.

Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities

KAUST Repository

Nielsen, Frank

2016-12-09

Information-theoreticmeasures, such as the entropy, the cross-entropy and the Kullback-Leibler divergence between two mixture models, are core primitives in many signal processing tasks. Since the Kullback-Leibler divergence of mixtures provably does not admit a closed-form formula, it is in practice either estimated using costly Monte Carlo stochastic integration, approximated or bounded using various techniques. We present a fast and generic method that builds algorithmically closed-form lower and upper bounds on the entropy, the cross-entropy, the Kullback-Leibler and the α-divergences of mixtures. We illustrate the versatile method by reporting our experiments for approximating the Kullback-Leibler and the α-divergences between univariate exponential mixtures, Gaussian mixtures, Rayleigh mixtures and Gamma mixtures.

Predictors Associated with Increase in Skeletal Muscle Mass after Sustained Virological Response in Chronic Hepatitis C Treated with Direct Acting Antivirals

Directory of Open Access Journals (Sweden)

Kazunori Yoh

2017-10-01

Full Text Available Aims: We aimed to examine changes in skeletal muscle mass in chronic hepatitis C (CHC patients undergoing interferon (IFN-free direct acting antivirals (DAAs therapy who achieved sustained virological response (SVR. Patients and methods: A total of 69 CHC patients treated with DAAs were analyzed. We compared the changes in skeletal muscle index (SMI using bio-impedance analysis at baseline and SMI at SVR. SMI was calculated as the sum of skeletal muscle mass in upper and lower extremities divided by height squared (cm2/m2. Further, we identified pretreatment parameters contributing to the increased SMI at SVR. Results: SMI in males at baseline ranged from 6.73 to 9.08 cm2/m2 (median, 7.65 cm2/m2, while that in females ranged from 4.45 to 7.27 cm2/m2 (median, 5.81 cm2/m2. At SVR, 36 patients (52.2% had increased SMI as compared with baseline. In the univariate analysis, age (p = 0.0392, hyaluronic acid (p = 0.0143, and branched-chain amino acid to tyrosine ratio (BTR (p = 0.0024 were significant pretreatment factors linked to increased SMI at SVR. In the multivariate analysis, only BTR was an independent predictor linked to the increased SMI at SVR (p = 0.0488. Conclusion: Pretreatment BTR level can be helpful for predicting increased SMI after SVR in CHC patients undergoing IFN-free DAAs therapy.

Predictors for better blood-flow restoration of long-segmental below-the-knee chronic total occlusions after endovascular therapy in diabetic patients

Energy Technology Data Exchange (ETDEWEB)

Song, Xiao Li [Dept. of Radiology, Chonnam National University Medical School, Gwangju (Korea, Republic of); Zhu, Yue Qi; Lu, Hai Tao; Lui, Fang; Wei, Li Ming; Kang, Heoung Keun; Zhao, Jun Gong [Shanghai Jiao Tong University Affiliated Sixth People' s Hospital, Shanghai (China)

2016-11-15

To prospectively investigate predictors for good restoration of blood flow of below-the-knee (BTK) chronic total occlusions (CTOs) after endovascular therapy in diabetes mellitus (DM) patients. A total of 120 long-segmental (≥ 5 cm) BTK, CTOs in 81 patients who underwent recanalization were included in this study. After angioplasty, blood-flow restoration was assessed using modified thrombolysis in myocardial ischemia grades and classified as good flow (grade 3) and poor flow (grade 1/2). One hundred and six CTOs with successful recanalization were divided into a good flow group (GFG; n = 68) and poor flow group (PFG; n = 38). Multivariate logistic regression analyses were undertaken to determine independent predictors of blood-flow restoration. Receiver operating characteristic curves were constructed to determine the best cutoff value. The prevalence of target-lesion restenosis during follow-up was compared between two groups. Univariate analyses suggested that CTOs in GFG were characterized by lighter limb ischemia (p = 0.03), shorter course of ischemic symptoms (p < 0.01) and lesion length (p = 0.04), more frequent use of intraluminal angioplasty (p = 0.03), and higher runoff score (p < 0.01) than those in PFG. Multivariate regression analyses suggested that distal runoffs (p = 0.001; odds ratio [OR], 10.32; 95% confidence interval [CI]: 4.082-26.071) and lesion length (p < 0.001; OR, 1.26; 95% CI: 1.091-1.449) were independent predictors for good flow restoration. Kaplan-Meier analyses at 12 months showed a higher prevalence of non-restenosis in GFG (p < 0.01). Distal runoffs and lesion length are independent predictors for good flow restoration for long-segmental BTK, CTOs in DM patients who receive endovascular therapy.

Endoglin (CD105) expression on microvessel endothelial cells in juvenile nasopharyngeal angiofibroma: tissue microarray analysis and association with prognostic significance.

Science.gov (United States)

Wang, Jing-Jing; Sun, Xi-Cai; Hu, Li; Liu, Zhuo-Fu; Yu, Hua-Peng; Li, Han; Wang, Shu-Yi; Wang, De-Hui

2013-12-01

The purpose of this study was to examine endoglin (CD105) expression on microvessel endothelial cells (ECs) in juvenile nasopharyngeal angiofibroma (JNA) and its relationship with recurrence. Immunohistochemistry was performed to detect CD105 expression in a tissue microarray from 70 patients with JNA. Correlation between CD105 expression on microvessel ECs and clinicopathological features, as well as tumor recurrence, were analyzed. Immunohistochemistry revealed CD105 expression on ECs but not in stroma of patients with JNA. Chi-square analysis indicated CD105-based microvessel density (MVD) was correlated with JNA recurrence (p = .013). Univariate and multivariate analyses determined that MVD was a significant predictor of time to recurrence (p = .009). The CD105-based MVD was better for predicting disease recurrence (AUROC: 0.673; p = .036) than other clinicopathological features. MVD is a useful predictor for poor prognosis of patients with JNA after curative resection. Angiogenesis, which may play an important role in the occurrence and development of JNA, is therefore a potential therapeutic target for JNA. Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company.

Intelligence and education as predictors of cognitive state in late life: a 50-year follow-up.

Science.gov (United States)

Plassman, B L; Welsh, K A; Helms, M; Brandt, J; Page, W F; Breitner, J C

1995-08-01

We evaluated the relation of education and intelligence in early adult life to cognitive function in a group of elderly male twins. The Army General Classification Test (AGCT) was administered to US armed forces inductees in the early 1940s. Fifty years later, as part of a study of dementia in twins, we tested the cognitive status of 930 of these men using the modified Telephone Interview for Cognitive Status (TICS-m). TICS-m scores obtained in later life were correlated with AGCT scores (r = 0.457) and with years of education (r = 0.408). Thus, in univariate analyses, the AGCT score accounted for 20.6% and education accounted for 16.7% of variance in cognitive status. However, these two effects were not fully independent. A multivariable model using AGCT score, education, and the interaction of the two variables as predictors of the TICS-m score explained 24.8% of the variance, a slightly but significantly greater proportion than was explained by either factor alone. In a separate analysis based on 604 pairs of twins who took the AGCT, heritability of intelligence (estimated by AGCT score) was 0.503. Although this study does not address the issue of education and premorbid IQ as risk factors for dementia, the findings suggest that basic cognitive abilities in late life are related to cognitive performance measures from early adult life (ie, education and IQ).

Univariate and multiple linear regression analyses for 23 single nucleotide polymorphisms in 14 genes predisposing to chronic glomerular diseases and IgA nephropathy in Han Chinese.

Science.gov (United States)

Wang, Hui; Sui, Weiguo; Xue, Wen; Wu, Junyong; Chen, Jiejing; Dai, Yong

2014-09-01

Immunoglobulin A nephropathy (IgAN) is a complex trait regulated by the interaction among multiple physiologic regulatory systems and probably involving numerous genes, which leads to inconsistent findings in genetic studies. One possibility of failure to replicate some single-locus results is that the underlying genetics of IgAN nephropathy is based on multiple genes with minor effects. To learn the association between 23 single nucleotide polymorphisms (SNPs) in 14 genes predisposing to chronic glomerular diseases and IgAN in Han males, the 23 SNPs genotypes of 21 Han males were detected and analyzed with a BaiO gene chip, and their associations were analyzed with univariate analysis and multiple linear regression analysis. Analysis showed that CTLA4 rs231726 and CR2 rs1048971 revealed a significant association with IgAN. These findings support the multi-gene nature of the etiology of IgAN and propose a potential gene-gene interactive model for future studies.

Predictors of Healthcare Service Utilization for Mental Health Reasons

Directory of Open Access Journals (Sweden)

Marie-Josée Fleury

2014-10-01

Full Text Available This study was designed to identify: (1 predictors of 12-month healthcare service utilization for mental health reasons, framed by the Andersen model, among a population cohort in an epidemiological catchment area; and (2 correlates associated with healthcare service utilization for mental health reasons among individuals with and without mental disorders respectively. Analyses comprised univariate, bivariate, and multiple regression analyses. Being male, having poor quality of life, possessing better self-perception of physical health, and suffering from major depressive episodes, panic disorder, social phobia, and emotional problems predicted healthcare service utilization for mental health reasons. Among individuals with mental disorders, needs factors (psychological distress, impulsiveness, emotional problems, victim of violence, and aggressive behavior and visits to healthcare professionals were associated with healthcare service utilization for mental health reasons. Among individuals without mental disorders, healthcare service utilization for mental health reasons is strongly associated with enabling factors such as social support, income, environmental variables, and self-perception of the neighborhood. Interventions facilitating social cohesion and social solidarity in neighborhood settings may reduce the need to seek help among individuals without mental disorders. Furthermore, in their capacity as frontline professionals, general practitioners should be more sensitive in preventing, detecting, and treating mental disorders in routine primary care.

Prognostic indices in stereotactic radiotherapy of brain metastases of non-small cell lung cancer.

Science.gov (United States)

Kaul, David; Angelidis, Alexander; Budach, Volker; Ghadjar, Pirus; Kufeld, Markus; Badakhshi, Harun

2015-11-26

Our purpose was to analyze the long-term clinical outcome and to identify prognostic factors after Linac-based stereotactic radiosurgery (SRS) or fractionated stereotactic radiotherapy (FSRT) on patients with brain metastases (BM) from non-small cell lung cancer (NSCLC). We performed a retrospective analysis of survival on 90 patients who underwent SRS or FSRT of intracranial NSCLC metastases between 04/2004 and 05/2014 that had not undergone prior surgery or whole brain radiotherapy (WBRT) for BM. Follow-up data was analyzed until May 2015. Potential prognostic factors were examined in univariable and multivariable analyses. The Golden Grading System (GGS), the disease-specific graded prognostic assessment (DS-GPA), the RADES II prognostic index as well as the NSCLC-specific index proposed by Rades et al. in 2013 (NSCLC-RADES) were calculated and their predictive values were tested in univariable analysis. The median follow-up time of the surviving patients was 14 months. The overall survival (OS) rate was 51 % after 6 months and 29.9 % after 12 months. Statistically significant factors of better OS after univariable analysis were lower International Union Against Cancer (UICC) stage at first diagnosis, histology of adenocarcinoma, prior surgery of the primary tumor and lower total BM volume. After multivariable analysis adenocarcinoma histology remained a significant factor; higher Karnofsky Performance Score (KPS) and the presence of extracranial metastases (ECM) were also significant. The RADES II and the NSCLC-RADES indices were significant predictors of OS. However, the NSCLC-RADES failed to differentiate between intermediate- and low-risk patients. The DS-GPA and GGS were not statistically significant predictors of survival in univariable analysis. The ideal prognostic index has not been defined yet. We believe that more specific indices will be developed in the future. Our results indicate that the histologic subtype of NSCLC could add to the prognostic

[Cost analysis of radiotherapy provided in inpatient setting -  testing potential predictors for a new prospective payment system].

Science.gov (United States)

Sedo, J; Bláha, M; Pavlík, T; Klika, P; Dušek, L; Büchler, T; Abrahámová, J; Srámek, V; Slampa, P; Komínek, L; Pospíšil, P; Sláma, O; Vyzula, R

2014-01-01

As a part of the development of a new prospective payment model for radiotherapy we analyzed data on costs of care provided by three comprehensive cancer centers in the Czech Republic. Our aim was to find a combination of variables (predictors) which could be used to sort hospitalization cases into groups according to their costs, with each group having the same reimbursement rate. We tested four variables as possible predictors -  number of fractions, stage of disease, radiotherapy technique and diagnostic group. We analyzed 7,440 hospitalization cases treated in three comprehensive cancer centers from 2007 to 2011. We acquired data from the I COP database developed by Institute of Biostatistics and Analyses of Masaryk University in cooperation with oncology centers that contains records from the National Oncological Registry along with data supplied by healthcare providers to insurance companies for the purpose of retrospective reimbursement. When comparing the four variables mentioned above we found that number of fractions and radiotherapy technique were much stronger predictors than the other two variables. Stage of disease did not prove to be a relevant indicator of cost distinction. There were significant differences in costs among diagnostic groups but these were mostly driven by the technique of radiotherapy and the number of fractions. Within the diagnostic groups, the distribution of costs was too heterogeneous for the purpose of the new payment model. The combination of number of fractions and radiotherapy technique appears to be the most appropriate cost predictors to be involved in the prospective payment model proposal. Further analysis is planned to test the predictive value of intention of radiotherapy in order to determine differences in costs between palliative and curative treatment.

Quantitative analysis and predictors of embolic filter debris load during carotid artery stenting in asymptomatic patients.

Science.gov (United States)

Piazza, Michele; Squizzato, Francesco; Chincarini, Chiara; Fedrigo, Marny; Castellani, Chiara; Angelini, Annalisa; Grego, Franco; Antonello, Michele

2018-03-01

The objective of this study was to perform a quantitative analysis and to identify predictors of embolic filter debris (EFD) load during carotid artery stenting (CAS) in asymptomatic patients. All patients with asymptomatic carotid stenosis >70% undergoing CAS between 2008 and 2016 were included in a prospective database. A distal filter protection device was used in all patients. At the end of the procedure, the filter was fixed in formalin and then analyzed with a stereomicroscope. Morphometric analysis was performed with Image-Pro Plus software (Media Cybernetics, Rockville, Md). The total area of the filter membrane and the area covered by particulate material were quantified. The quantity of membrane occupied by debris was expressed as percentage of covered surface area. Anatomic and clinical variables were evaluated for their association with EFD load using multiple logistic regression. Among the 278 patients undergoing CAS, an open-cell stent was implanted in 211 patients (76%); 67 patients (24%) received a closed-cell stent. Overall technical success and clinical success were both 99%; no perioperative death was reported. Stroke rate was 1.8% (major, n = 1 [0.4%]; minor, n = 4 [1.4%]); transient ischemic attacks occurred in 5% of cases (n = 14). The quantitative analysis of the filter revealed that EFD was present in 74% of cases (n = 207). The mean EFD load was 10% of the filter surface (median, 1; range, 0-80); it was 31% in 22 (8%). Patients with any type of ischemic neurologic event after CAS (stroke and transient ischemic attack) had a significantly higher mean EFD load compared with uneventful cases (26.7% ± 19.0% vs 8.5% ± 13.5%; P 12.5% EFD load as the optimal cutoff for the association with clinically relevant perioperative ischemic events (sensitivity, 78%; specificity, 77%; area under the curve, 0.81). The multivariate analysis demonstrated that age >75 years (odds ratio [OR], 2.56; P = .003), pre-existing ipsilateral ischemic

Sarcopenia is a predictor of outcomes in very elderly patients undergoing emergency surgery.

Science.gov (United States)

Du, Yang; Karvellas, Constantine J; Baracos, Vickie; Williams, David C; Khadaroo, Rachel G

2014-09-01

With the increasing aging population, the number of very elderly patients (age ≥80 years) undergoing emergency operations is increasing. Evaluating patient-specific risk factors for postoperative morbidity and mortality in the acute care surgery setting is crucial to improving outcomes. We hypothesize that sarcopenia, a severe depletion of skeletal muscles, is a predictor of morbidity and mortality in very elderly patients undergoing emergency surgery. A total of 170 patients older than the age of 80 underwent emergency surgery between 2008 and 2010 at a tertiary care facility; 100 of these patients had abdominal computed tomography images within 30 days of the operation that were adequate for the assessment of sarcopenia. The impact of sarcopenia on the operative outcomes was evaluated using both univariate and multivariate analysis. The mean patient age was 84 years, with an in-hospital mortality of 18%. Sarcopenia was present in 73% of patients. More sarcopenic patients had postoperative complications (45% sarcopenic versus 15% nonsarcopenic, P = .005) and more died in hospital (23 vs 4%, P = .037). There were no differences in duration of stay or requirement for intensive care unit postoperatively. After we controlled for confounding factors, increasing skeletal muscle index (per incremental cm(2)/m(2)) was associated with decreased in-hospital mortality (odds ratio ∼0.834, 95% confidence interval 0.731-0.952, P = .007) in multivariate analysis. Sarcopenia was independently predictive of greater complication rates, discharge disposition, and in-hospital mortality in the very elderly emergency surgery population. Using sarcopenia as an objective tool to identify high-risk patients would be beneficial in developing tailored preventative strategies and potentially resource allocation in the future. Copyright © 2014 Mosby, Inc. All rights reserved.

Predictors of rapid spontaneous resolution of acute subdural hematoma.

Science.gov (United States)

Fujimoto, Kenji; Otsuka, Tadahiro; Yoshizato, Kimio; Kuratsu, Jun-ichi

2014-03-01

Acute subdural hematoma (ASDH) usually requires emergency surgical decompression, but rare cases exhibit rapid spontaneous resolution. The aim of this retrospective study was to identify factors predictive of spontaneous ASDH resolution. A total of 366 consecutive patients with ASDH treated between January 2006 and September 2012 were identified in our hospital database. Patients with ASDH clot thickness >10mm in the frontoparietotemporal region and showing a midline shift >10mm on the initial computed tomography (CT) scan were divided into two groups according to subsequent spontaneous resolution. Univariate and multivariate logistic regression analyses were used to identify factors predictive of rapid spontaneous ASDH resolution. Fifty-six ASDH patients met study criteria and 18 demonstrated rapid spontaneous resolution (32%). Majority of these patients were not operated because of poor prognosis/condition and in accordance to family wishes. Univariate analysis revealed significant differences in use of antiplatelet agents before head injury and in the incidence of a low-density band between the hematoma and inner wall of the skull bone on the initial CT. Use of antiplatelet agents before head injury (OR 19.6, 95% CI 1.5-260.1, p=0.02) and the low-density band on CT images (OR 40.3, 95% CI 3.1-520.2, p=0.005) were identified as independent predictive factors by multivariate analysis. Our analysis suggested that use of antiplatelet agents before head injury and a low-density band between the hematoma and inner skull bone on CT images (indicative of cerebrospinal fluid infusion into the subdural space) increase the probability of rapid spontaneous resolution. Copyright © 2013 Elsevier B.V. All rights reserved.

Predictors of Burnout Syndrome Among Healthcare Workers in Hospitals

Directory of Open Access Journals (Sweden)

Janine Kieling Monteiro

2016-06-01

Full Text Available This research aims at identifying sociodemographic and laboral predictors of burnout syndrome in 182 health workers in the hospital setting. It uses a questionnaire, Maslach Burnout Inventory, and a working context scale. In the analysis of the data a multiple regression analysis was employed. Interviewees' considering their profession as stressful was the most revealing variable with regards to the Emotional Exhaustion dimension and the low level of Professional Efficacy. As predictor variables to Cynicism the research points to negative working environments, stress upon dealing with male patients. The risk profile for burnout syndrome includes higher schooled professionals, old-timers and those who perceive their job, work scale, type and quantity of patients as stressing factors.

Predictors of delayed Antenatal Care (ANC) visits in Nigeria: secondary analysis of 2013 Nigeria Demographic and Health Survey (NDHS).

Science.gov (United States)

Aliyu, Alhaji Abubakar; Dahiru, Tukur

2017-01-01

Antenatal Care (ANC) is an important component of maternal health and covers a wide range of activities with huge potential benefits for positive pregnancy out comes. However, large proportions of women do initiate ANC early resulting in adverse consequences. The study utilized the nationally-representative sample of women of reproductive age interviewed during the 2013 Nigeria DHS. Analysis was restricted to 20, 467 women aged 15-49 years who had a live birth in the five-year period prior to the survey. Multinomial logistic regression was performed using Stata v13 to determine significant factors related to timing of initiation of ANC. Relative risk ratio (RRR) was used to assess the strength of association between independent and dependent variables. Overall, 27%, 62% and 12% of women initiated ANC in the first, second and third trimesters respectively. In both the two model, the findings reveal that maternal education, level of media exposure, region and place of residence are the uniform predictors of initiation of ANC; having health insurance is a significant predictor of third trimester ANC initiation relative to first to first trimester only. Within the categories of household wealth, levels of participation in household decision-making and region some categories are significant predictors while others are not. Maternal education, level of media exposure, region and place of residence are the uniform and consistent predictors of delay in ANC initiation. This suggests that girl-child education, universal health coverage and universal health insurance could be the interventions required to improve service utilization and maternal health.

Multilevel predictors of adolescent physical activity: a longitudinal analysis

Directory of Open Access Journals (Sweden)

Hearst Mary O

2012-02-01

Full Text Available Abstract Background To examine how factors from a social ecologic model predict physical activity (PA among adolescents using a longitudinal analysis. Methods Participants in this longitudinal study were adolescents (ages 10-16 at baseline and one parent enrolled in the Transdisciplinary Research on Energetics and Cancer-Identifying Determinants of Eating and Activity (TREC-IDEA and the Etiology of Childhood Obesity (ECHO. Both studies were designed to assess a socio-ecologic model of adolescent obesity risk. PA was collected using ActiGraph activity monitors at two time points 24 months apart. Other measures included objective height and weight, adolescent and parent questionnaires on multilevel psychological, behavioral and social determinants of PA, and a home PA equipment inventory. Analysis was conducted using SAS, including descriptive characteristics, bivariate and stepped multivariate mixed models, using baseline adjustment. Models were stratified by gender. Results There were 578 adolescents with complete data. Results suggest few statistically significant longitudinal associations with physical activity measured as minutes of MVPA or total counts from accelerometers. For boys, greater self-efficacy (B = 0.75, p = 0.01 and baseline MVPA (B = 0.55, p p = 0.01 and barriers (B = -0.32, p = 0.05 significantly predicted MVPA at follow-up in the full model. The full multilevel model explained 30% of the variance in PA among boys and 24% among girls. Conclusions PA change in adolescents is a complex issue that is not easily understood. Our findings suggest early PA habits are the most important predictor of PA levels in adolescence. Intervention may be necessary prior to middle school to maintain PA through adolescence.

Epidemiology and predictors of cervical spine injury in adult major trauma patients: a multicenter cohort study.

Science.gov (United States)

Hasler, Rebecca M; Exadaktylos, Aristomenis K; Bouamra, Omar; Benneker, Lorin M; Clancy, Mike; Sieber, Robert; Zimmermann, Heinz; Lecky, Fiona

2012-04-01

Patients with cervical spine injuries are a high-risk group, with the highest reported early mortality rate in spinal trauma. This cohort study investigated predictors for cervical spine injury in adult (≥ 16 years) major trauma patients using prospectively collected data of the Trauma Audit and Research Network from 1988 to 2009. Univariate and multivariate logistic regression analyses were used to determine predictors for cervical fractures/dislocations or cord injury. A total of 250,584 patients were analyzed. Median age was 47.2 years (interquartile range, 29.8-66.0) and Injury Severity Score 9 (interquartile range, 4-11); 60.2% were male. Six thousand eight hundred two patients (2.3%) sustained cervical fractures/dislocations alone. Two thousand sixty-nine (0.8%) sustained cervical cord injury with/without fractures/dislocations; 39.9% of fracture/dislocation and 25.8% of cord injury patients suffered injuries to other body regions. Age ≥ 65 years (odds ratio [OR], 1.45-1.92), males (females OR, 0.91; 95% CI, 0.86-0.96), Glasgow Coma Scale (GCS) score sports injuries (OR, 3.51; 95% CI, 2.87-4.31), road traffic collisions (OR, 3.24; 95% CI, 3.01-3.49), and falls >2 m (OR, 2.74; 95% CI, 2.53-2.97) were predictive for fractures/dislocations. Age sports injuries (OR, 4.42; 95% CI, 3.28-5.95), road traffic collisions (OR, 2.58; 95% CI, 2.26-2.94), and falls >2 m (OR, 2.24; 95% CI, 1.94-2.58) were predictors for cord injury. 3.5% of patients suffered cervical spine injury. Patients with a lowered GCS or systolic blood pressure, severe facial fractures, dangerous injury mechanism, male gender, and/or age ≥ 35 years are at increased risk. Contrary to common belief, head injury was not predictive for cervical spine involvement.

Predictors of Hypothyroidism in Hodgkin Lymphoma Survivors After Intensity Modulated Versus 3-Dimensional Radiation Therapy.

Science.gov (United States)

Pinnix, Chelsea C; Cella, Laura; Andraos, Therese Y; Ayoub, Zeina; Milgrom, Sarah A; Gunther, Jillian; Thosani, Sonali; Wogan, Christine; Conson, Manuel; D'Avino, Vittoria; Oki, Yasuhiro; Fanale, Michelle; Lee, Hun J; Neelapu, Sattva; Fayad, Luis; Hagemeister, Frederick; Rodriguez, M Alma; Nastoupil, Loretta J; Nieto, Yago; Qiao, Wei; Pacelli, Roberto; Dabaja, Bouthaina

2018-03-14

To identify predictors of hypothyroidism after chemoradiation therapy for Hodgkin lymphoma (HL) and to compare outcomes after intensity modulated radiation therapy (IMRT) with those after 3-dimensional (3D) conformal radiation therapy (CRT). Ninety patients who underwent involved-site IMRT in 2009 through 2014 were evaluated for treatment-induced hypothyroidism, defined as elevated thyroid-stimulating hormone or decreased free thyroxine levels (or both). Receiver operating characteristic curve analysis identified individuals at low versus high risk based on dosimetric variables. Dosimetric cutoff points were verified with an external data set of 50 patients who underwent 3D-CRT. In the IMRT group, most patients (75 [83%]) had stage II HL, and the median prescribed dose was 30.6 Gy; in the 3D-CRT group, 32 patients (64%) had stage II HL, and the median prescribed dose was 32.0 Gy. No differences were found in the proportions of patients with bilateral (P = .982) or unilateral (P = .074) neck involvement between the 2 groups. Hypothyroidism rates were marginally higher in the IMRT group, with estimated 3-year rates of freedom from hypothyroidism of 56.1% in the 3D-CRT group and 40% in the IMRT group (P = .057). Univariate analysis showed that smaller thyroid volume and higher thyroid dose were associated with hypothyroidism in both groups (P hypothyroidism (P = .001 and P hypothyroidism (P hypothyroidism after either IMRT or 3D-CRT for HL. IMRT may confer a higher risk than 3D-CRT unless a treatment avoidance structure is used during planning. Copyright © 2018 Elsevier Inc. All rights reserved.

The baseline serum value of α-amylase is a significant predictor of distance running performance.

Science.gov (United States)

Lippi, Giuseppe; Salvagno, Gian Luca; Danese, Elisa; Tarperi, Cantor; La Torre, Antonio; Guidi, Gian Cesare; Schena, Federico

2015-02-01

This study was planned to investigate whether serum α-amylase concentration may be associated with running performance, physiological characteristics and other clinical chemistry analytes in a large sample of recreational athletes undergoing distance running. Forty-three amateur runners successfully concluded a 21.1 km half-marathon at 75%-85% of their maximal oxygen uptake (VO2max). Blood was drawn during warm up and 15 min after conclusion of the run. After correction for body weight change, significant post-run increases were observed for serum values of alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase, bilirubin, creatine kinase (CK), iron, lactate dehydrogenase (LDH), triglycerides, urea and uric acid, whereas the values of body weight, glomerular filtration rate, total and low density lipoprotein-cholesterol were significantly decreased. The concentration of serum α-amylase was unchanged. In univariate analysis, significant associations with running performance were found for gender, VO2max, training regimen and pre-run serum values of α-amylase, CK, glucose, high density lipoprotein-cholesterol, LDH, urea and uric acid. In multivariate analysis, only VO2max (p=0.042) and baseline α-amylase (p=0.021) remained significant predictors of running performance. The combination of these two variables predicted 71% of variance in running performance. The baseline concentration of serum α-amylase was positively correlated with variation of serum glucose during the trial (r=0.345; p=0.025) and negatively with capillary blood lactate at the end of the run (r=-0.352; p=0.021). We showed that the baseline serum α-amylase concentration significantly and independently predicts distance running performance in recreational runners.

Epidermal growth factor receptor: an independent predictor of survival in astrocytic tumors given definitive irradiation

International Nuclear Information System (INIS)

An Zhu; Shaeffer, James; Leslie, Susan; Kolm, Paul; El-Mahdi, Anas M.

1996-01-01

Purpose: To determine whether the expression of epidermal growth factor receptor (EGFR) protein was predictive of patient survival independently of other prognostic factors in astrocytic tumors. Methods and Materials: Epidermal growth factor receptor protein expression was investigated immunohistochemically in formalin-fixed, paraffin-embedded surgical specimens of 55 glioblastoma multiforme, 14 anaplastic astrocytoma, and 2 astrocytomas given definitive irradiation. We evaluated the relationship of EGFR protein expression and tumor grade, histologic features, age at diagnosis, sex, patient survival, and recurrence-free survival. Results: The percentage of tumor cells which were EGFR positive related to reduced survival by Cox regression analysis in both univariate (p = 0.0424) and multivariate analysis (p = 0.0016). Epidermal growth factor receptor positivity was the only 1 of 11 clinical and histological variables associated with decreased recurrence-free survival by either univariate (p = 0.0353) or multivariate (p = 0.0182) analysis. Epidermal growth factor receptor protein expression was not related to patient age, sex, or histologic features. Conclusion: Epidermal growth factor receptor positivity was a significant and independent prognostic indicator for overall survival and recurrence-free survival for irradiated patients with astrocytic gliomas

Detection of major climatic and environmental predictors of liver fluke exposure risk in Ireland using spatial cluster analysis.

Science.gov (United States)

Selemetas, Nikolaos; de Waal, Theo

2015-04-30

Fasciolosis caused by Fasciola hepatica (liver fluke) can cause significant economic and production losses in dairy cow farms. The aim of the current study was to identify important weather and environmental predictors of the exposure risk to liver fluke by detecting clusters of fasciolosis in Ireland. During autumn 2012, bulk-tank milk samples from 4365 dairy farms were collected throughout Ireland. Using an in-house antibody-detection ELISA, the analysis of BTM samples showed that 83% (n=3602) of dairy farms had been exposed to liver fluke. The Getis-Ord Gi* statistic identified 74 high-risk and 130 low-risk significant (Pclimatic variables (monthly and seasonal mean rainfall and temperatures, total wet days and rain days) and environmental datasets (soil types, enhanced vegetation index and normalised difference vegetation index) were used to investigate dissimilarities in the exposure to liver fluke between clusters. Rainfall, total wet days and rain days, and soil type were the significant classes of climatic and environmental variables explaining the differences between significant clusters. A discriminant function analysis was used to predict the exposure risk to liver fluke using 80% of data for modelling and the remaining subset of 20% for post hoc model validation. The most significant predictors of the model risk function were total rainfall in August and September and total wet days. The risk model presented 100% sensitivity and 91% specificity and an accuracy of 95% correctly classified cases. A risk map of exposure to liver fluke was constructed with higher probability of exposure in western and north-western regions. The results of this study identified differences between clusters of fasciolosis in Ireland regarding climatic and environmental variables and detected significant predictors of the exposure risk to liver fluke. Copyright © 2015 Elsevier B.V. All rights reserved.

A Biopsy-based 17-gene Genomic Prostate Score as a Predictor of Metastases and Prostate Cancer Death in Surgically Treated Men with Clinically Localized Disease.

Science.gov (United States)

Van Den Eeden, Stephen K; Lu, Ruixiao; Zhang, Nan; Quesenberry, Charles P; Shan, Jun; Han, Jeong S; Tsiatis, Athanasios C; Leimpeter, Amethyst D; Lawrence, H Jeffrey; Febbo, Phillip G; Presti, Joseph C

2018-01-01

A 17-gene biopsy-based reverse transcription polymerase chain reaction assay, which provides a Genomic Prostate Score (GPS-scale 0-100), has been validated as an independent predictor of adverse pathology and biochemical recurrence after radical prostatectomy (RP) in men with low- and intermediate-risk prostate cancer (PCa). To evaluate GPS as a predictor of PCa metastasis and PCa-specific death (PCD) in a large cohort of men with localized PCa and long-term follow-up. A retrospective study using a stratified cohort sampling design was performed in a cohort of men treated with RP within Kaiser Permanente Northern California. RNA from archival diagnostic biopsies was assayed to generate GPS results. We assessed the association between GPS and time to metastasis and PCD in prespecified uni- and multivariable statistical analyses, based on Cox proportional hazard models accounting for sampling weights. The final study population consisted of 279 men with low-, intermediate-, and high-risk PCa between 1995 and 2010 (median follow-up 9.8 yr), and included 64 PCD and 79 metastases. Valid GPS results were obtained for 259 (93%). In univariable analysis, GPS was strongly associated with time to PCD, hazard ratio (HR)/20 GPS units=3.23 (95% confidence interval [CI] 1.84-5.65; pstrong independent predictor of long-term outcomes in clinically localized PCa in men treated with RP and may improve risk stratification for men with newly diagnosed disease. Many prostate cancers are slow growing and unlikely to spread or threaten a man's life, while others are more aggressive and require treatment. Increasingly, doctors are using new molecular tests, such as the17-gene Genomic Prostate Score (GPS), which can be performed at the time of initial diagnosis to help determine how aggressive a given patient's cancer may be. In this study, performed in a large community-based healthcare network, GPS was shown to be a strong predictor as to whether a man's prostate cancer will spread and

Risk of isolated nodal failure for non-small cell lung cancer (NSCLC) treated with the elective nodal irradiation (ENI) using 3D-conformal radiotherapy (3D-CRT) techniques - A retrospective analysis

International Nuclear Information System (INIS)

Kepka, Lucyna; Bujko, Krzysztof; Zolciak-Siwinska, Agnieszka

2008-01-01

Purpose. To estimate retrospectively the rate of isolated nodal failures (INF) in NSCLC patients treated with the elective nodal irradiation (ENI) using 3D-conformal radiotherapy (3D-CRT). Materials/methods. One hundred and eighty-five patients with I-IIIB stage treated with 3D-CRT in consecutive clinical trials differing in an extent of the ENI were analyzed. According to the extent of the ENI, two groups were distinguished: extended (n=124) and limited (n=61) ENI. INF was defined as regional nodal failure occurring without local progression. Cumulative Incidence of INF (CIINF) was evaluated by univariate and multivariate analysis with regard to prognostic factors. Results. With a median follow up of 30 months, the two-year actuarial overall survival was 35%. The two-year CIINF rate was 12%. There were 16 (9%) INF, eight (6%) for extended and eight (13%) for limited ENI. In the univariate analysis bulky mediastinal disease (BMD), left side, higher N stage, and partial response to RT had a significant negative impact on the CIINF. BMD was the only independent predictor of the risk of incidence of the INF (p=0.001). Conclusions. INF is more likely to occur in case of more advanced nodal status

Noninvasive predictors of perioperative atrial arrhythmias in patients with tetralogy of Fallot undergoing pulmonary valve replacement.

Science.gov (United States)

Cortez, Daniel; Barham, Waseem; Ruckdeschel, Emily; Sharma, Nandita; McCanta, Anthony C; von Alvensleben, Johannes; Sauer, William H; Collins, Kathryn K; Kay, Joseph; Patel, Sonali; Nguyen, Duy T

2017-08-01

Patients with tetralogy of Fallot (TOF) have increased risk of atrial arrhythmias. A measure of atrial dispersion, the P-wave vector magnitude (Pvm), can identify patients at risk for perioperative atrial flutter (AFL) or intra-atrial re-entrant tachycardia (IART) in a large TOF cohort. We performed a blinded, retrospective analysis of 158 TOF patients undergoing pulmonary valve replacement between 1997 and 2015. History of AFL/IART was documented using electrocardiogram, Holter monitor, exercise stress test, implanted cardiac device, and electrophysiology study. P-R intervals, Pvm, QRS duration, and QRS vector magnitude were assessed from resting sinus-rhythm 12-lead electrocardiograms and identification of those with AFL/IART was determined. Fourteen patients (8.9%) were found to have AFL/IART. Pvm, QRS duration, and QRS vector magnitude significantly differentiated those with AFL/IART from those without on univariate analysis: 0.09 ± 0.04 vs 0.18 ± 0.07 mV, 161.3 ± 21.9 vs 137.7 ± 31.4 ms, and 1.2 (interquartile range, 1.0-1.2) vs 1.6 mV (1.0-2.3), respectively (P < 0.05 for each). The Pvm had the highest area under the ROC curve (0.88) and was the only significant predictor on multivariate analysis, with odds ratio of 0.02 (95% confidence interval: 0.01-0.53). P-R duration, MRI volumes, and right-heart hemodynamics did not significantly differentiate those with vs those without AFL/IART. In TOF patients undergoing pulmonary valve replacement, Pvm has significant value in predicting those with perioperative AFL/IART. These clinical features may help further evaluate TOF patients at risk for perioperative atrial arrhythmias. Prospective studies are warranted. © 2017 Wiley Periodicals, Inc.

Seasonal variation and predictors of epistaxis.

Science.gov (United States)

Purkey, Matthew R; Seeskin, Zachary; Chandra, Rakesh

2014-09-01

To examine the incidence of epistaxis as a function of season and age and to determine predictors of episodes within the epistaxis patient population presenting to a tertiary hospital system. Retrospective cohort study. Electronic medical record charts of patients presenting to the Northwestern Emergency Department, admitted to an inpatient ward, or seen in an outpatient setting between 2008 and 2012 were reviewed and selected for an International Classifications of Disease-Ninth Revision epistaxis code of 784.7. Season of presentation, demographic factors (age, race, gender, insurance status), medication use (including anticoagulants and topical nasal steroid administration), and several comorbidities were analyzed as potential predictors of episodes. A total of 2,405 patients were identified with a total of 3,666 individual epistaxis episodes over 5 years. Multivariate analysis identified allergic rhinitis (AR), chronic sinusitis (CRS), coagulopathy, hereditary hemorrhagic telangiectasia (HHT), hematologic malignancy, and hypertension (HTN) as predictors of a higher number of cases. Epistaxis occurred more frequently during colder months and in older patients. Epistaxis occurs more commonly during the winter and in older patients. AR, CRS, coagulopathy, HHT, hematologic malignancy, and HTN are associated with increased epistaxis incidence. © 2014 The American Laryngological, Rhinological and Otological Society, Inc.

Predictors of readmission in nonagenarians: analysis of the American College of Surgeons National Surgical Quality Improvement Project dataset.

Science.gov (United States)

Hothem, Zachary; Baker, Dustin; Jenkins, Christina S; Douglas, Jason; Callahan, Rose E; Shuell, Catherine C; Long, Graham W; Welsh, Robert J

2017-06-01

Increased longevity has led to more nonagenarians undergoing elective surgery. Development of predictive models for hospital readmission may identify patients who benefit from preoperative optimization and postoperative transition of care intervention. Our goal was to identify significant predictors of 30-d readmission in nonagenarians undergoing elective surgery. Nonagenarians undergoing elective surgery from January 2011 to December 2012 were identified using the American College of Surgeons National Surgical Quality Improvement Project participant use data files. This population was randomly divided into a 70% derivation cohort for model development and 30% validation cohort. Using multivariate step-down regression, predictive models were developed for 30-d readmission. Of 7092 nonagenarians undergoing elective surgery, 798 (11.3%) were readmitted within 30 d. Factors significant in univariate analysis were used to develop predictive models for 30-d readmissions. Diabetes (odds ratio [OR]: 1.51, 95% confidence interval [CI]: 1.24-1.84), dialysis dependence (OR: 2.97, CI: 1.77-4.99), functional status (OR: 1.52, CI: 1.29-1.79), American Society of Anesthesiologists class II or higher (American Society of Anesthesiologist physical status classification system; OR: 1.80, CI: 1.42-2.28), operative time (OR: 1.05, CI: 1.02-1.08), myocardial infarction (OR: 5.17, CI: 3.38-7.90), organ space surgical site infection (OR: 8.63, CI: 4.04-18.4), wound disruption (OR: 14.3, CI: 4.80-42.9), pneumonia (OR: 8.59, CI: 6.17-12.0), urinary tract infection (OR: 3.88, CI: 3.02-4.99), stroke (OR: 6.37, CI: 3.47-11.7), deep venous thrombosis (OR: 5.96, CI: 3.70-9.60), pulmonary embolism (OR: 20.3, CI: 9.7-42.5), and sepsis (OR: 13.1, CI: 8.57-20.1), septic shock (OR: 43.8, CI: 18.2-105.0), were included in the final model. This model had a c-statistic of 0.73, indicating a fair association of predicted probabilities with observed outcomes. However, when applied to the validation

Predictors of seizure outcomes in children with tuberous sclerosis complex and intractable epilepsy undergoing resective epilepsy surgery: an individual participant data meta-analysis.

Directory of Open Access Journals (Sweden)

Aria Fallah

Full Text Available OBJECTIVE: To perform a systematic review and individual participant data meta-analysis to identify preoperative factors associated with a good seizure outcome in children with Tuberous Sclerosis Complex undergoing resective epilepsy surgery. DATA SOURCES: Electronic databases (MEDLINE, EMBASE, CINAHL and Web of Science, archives of major epilepsy and neurosurgery meetings, and bibliographies of relevant articles, with no language or date restrictions. STUDY SELECTION: We included case-control or cohort studies of consecutive participants undergoing resective epilepsy surgery that reported seizure outcomes. We performed title and abstract and full text screening independently and in duplicate. We resolved disagreements through discussion. DATA EXTRACTION: One author performed data extraction which was verified by a second author using predefined data fields including study quality assessment using a risk of bias instrument we developed. We recorded all preoperative factors that may plausibly predict seizure outcomes. DATA SYNTHESIS: To identify predictors of a good seizure outcome (i.e. Engel Class I or II we used logistic regression adjusting for length of follow-up for each preoperative variable. RESULTS: Of 9863 citations, 20 articles reporting on 181 participants were eligible. Good seizure outcomes were observed in 126 (69% participants (Engel Class I: 102(56%; Engel class II: 24(13%. In univariable analyses, absence of generalized seizure semiology (OR = 3.1, 95%CI = 1.2-8.2, p = 0.022, no or mild developmental delay (OR = 7.3, 95%CI = 2.1-24.7, p = 0.001, unifocal ictal scalp electroencephalographic (EEG abnormality (OR = 3.2, 95%CI = 1.4-7.6, p = 0.008 and EEG/Magnetic resonance imaging concordance (OR = 4.9, 95%CI = 1.8-13.5, p = 0.002 were associated with a good postoperative seizure outcome. CONCLUSIONS: Small retrospective cohort studies are inherently prone to bias, some of which are overcome using individual participant data. The

Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm

Directory of Open Access Journals (Sweden)

Fernando Cervantes-Sanchez

2016-01-01

Full Text Available This paper presents a novel method for improving the training step of the single-scale Gabor filters by using the Boltzmann univariate marginal distribution algorithm (BUMDA in X-ray angiograms. Since the single-scale Gabor filters (SSG are governed by three parameters, the optimal selection of the SSG parameters is highly desirable in order to maximize the detection performance of coronary arteries while reducing the computational time. To obtain the best set of parameters for the SSG, the area (Az under the receiver operating characteristic curve is used as fitness function. Moreover, to classify vessel and nonvessel pixels from the Gabor filter response, the interclass variance thresholding method has been adopted. The experimental results using the proposed method obtained the highest detection rate with Az=0.9502 over a training set of 40 images and Az=0.9583 with a test set of 40 images. In addition, the experimental results of vessel segmentation provided an accuracy of 0.944 with the test set of angiograms.

Predictor-Based Model Reference Adaptive Control

Science.gov (United States)

Lavretsky, Eugene; Gadient, Ross; Gregory, Irene M.

2010-01-01

This paper is devoted to the design and analysis of a predictor-based model reference adaptive control. Stable adaptive laws are derived using Lyapunov framework. The proposed architecture is compared with the now classical model reference adaptive control. A simulation example is presented in which numerical evidence indicates that the proposed controller yields improved transient characteristics.

Frailty as a Predictor of Alzheimer Disease, Vascular Dementia, and All Dementia Among Community-Dwelling Older People: A Systematic Review and Meta-Analysis.

Science.gov (United States)

Kojima, Gotaro; Taniguchi, Yu; Iliffe, Steve; Walters, Kate

2016-10-01

To perform a systematic search of the literature for currently available evidence on frailty as a predictor of dementia and to conduct a meta-analysis to synthesize the pooled risk estimates among community-dwelling older people. A systematic review and meta-analysis. Embase, MEDLINE, CINAHL Plus, PsycINFO, and the Cochrane Library from 2000 to January 2016, and reference lists of relevant articles. Any studies that prospectively examined the incident risks of dementia with frailty among community-dwelling older people without language restriction. Of 2565 studies identified through the systematic review, 7 studies were included in this review. Of these, 4 studies reported hazard ratios (HR) of incident dementia for physical frailty defined by Cardiovascular Health Study criteria and were included in a meta-analysis. Frailty was a significant predictor of incident Alzheimer disease (4 studies: pooled HR = 1.28, 95% confidence interval (95% CI) = 1.00-1.63, P = .05), vascular dementia (2 studies: pooled HR 2.70, 95% CI 1.40-5.23, P = .003), and all dementia (3 studies: pooled HR 1.33, 95% CI 1.07-1.67, P = .01). Heterogeneity across the studies was low to modest (I(2) = 0%-51%). A random-effects meta-regression analysis showed that the female proportion of the cohort primarily mediated the association of frailty with Alzheimer disease (female proportion coefficient = 0.04, 95%CI = 0.01-0.08, P = .01). This systematic review and meta-analysis suggests that frailty was a significant predictor of Alzheimer disease, vascular dementia, and all dementia among community-dwelling older people. Frail women may have a higher risk of incident Alzheimer disease than frail men. Copyright © 2016 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Reciprocal Benefits of Mass-Univariate and Multivariate Modeling in Brain Mapping: Applications to Event-Related Functional MRI, H215O-, and FDG-PET

Directory of Open Access Journals (Sweden)

James R. Moeller

2006-01-01

Full Text Available In brain mapping studies of sensory, cognitive, and motor operations, specific waveforms of dynamic neural activity are predicted based on theoretical models of human information processing. For example in event-related functional MRI (fMRI, the general linear model (GLM is employed in mass-univariate analyses to identify the regions whose dynamic activity closely matches the expected waveforms. By comparison multivariate analyses based on PCA or ICA provide greater flexibility in detecting spatiotemporal properties of experimental data that may strongly support alternative neuroscientific explanations. We investigated conjoint multivariate and mass-univariate analyses that combine the capabilities to (1 verify activation of neural machinery we already understand and (2 discover reliable signatures of new neural machinery. We examined combinations of GLM and PCA that recover latent neural signals (waveforms and footprints with greater accuracy than either method alone. Comparative results are illustrated with analyses of real fMRI data, adding to Monte Carlo simulation support.

TU-D-207B-05: Intra-Tumor Partitioning and Texture Analysis of DCE-MRI Identifies Relevant Tumor Subregions to Predict Early Pathological Response of Breast Cancer to Neoadjuvant Chemotherapy

International Nuclear Information System (INIS)

Wu, J; Gong, G; Cui, Y; Li, R

2016-01-01

Purpose: To predict early pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multi-region analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). Methods: In this institution review board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with a high-temporal resolution. We then partitioned the whole tumor into multiple subregions using k-means clustering based on the PCA-defined eigenmaps. Within each tumor subregion, we extracted four quantitative Haralick texture features based on the gray-level co-occurrence matrix (GLCM). The change in texture features in each tumor subregion between pre- and during-NAC was used to predict pathological complete response after NAC. Results: Three tumor subregions were identified through clustering, each with distinct enhancement characteristics. In univariate analysis, all imaging predictors except one extracted from the tumor subregion associated with fast wash-out were statistically significant (p< 0.05) after correcting for multiple testing, with area under the ROC curve or AUCs between 0.75 and 0.80. In multivariate analysis, the proposed imaging predictors achieved an AUC of 0.79 (p = 0.002) in leave-one-out cross validation. This improved upon conventional imaging predictors such as tumor volume (AUC=0.53) and texture features based on whole-tumor analysis (AUC=0.65). Conclusion: The heterogeneity of the tumor subregion associated with fast wash-out on DCE-MRI predicted early pathological response to neoadjuvant chemotherapy in breast cancer.

TU-D-207B-05: Intra-Tumor Partitioning and Texture Analysis of DCE-MRI Identifies Relevant Tumor Subregions to Predict Early Pathological Response of Breast Cancer to Neoadjuvant Chemotherapy

Energy Technology Data Exchange (ETDEWEB)

Wu, J; Gong, G; Cui, Y; Li, R [Stanford University, Palo Alto, CA (United States)

2016-06-15

Purpose: To predict early pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multi-region analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). Methods: In this institution review board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with a high-temporal resolution. We then partitioned the whole tumor into multiple subregions using k-means clustering based on the PCA-defined eigenmaps. Within each tumor subregion, we extracted four quantitative Haralick texture features based on the gray-level co-occurrence matrix (GLCM). The change in texture features in each tumor subregion between pre- and during-NAC was used to predict pathological complete response after NAC. Results: Three tumor subregions were identified through clustering, each with distinct enhancement characteristics. In univariate analysis, all imaging predictors except one extracted from the tumor subregion associated with fast wash-out were statistically significant (p< 0.05) after correcting for multiple testing, with area under the ROC curve or AUCs between 0.75 and 0.80. In multivariate analysis, the proposed imaging predictors achieved an AUC of 0.79 (p = 0.002) in leave-one-out cross validation. This improved upon conventional imaging predictors such as tumor volume (AUC=0.53) and texture features based on whole-tumor analysis (AUC=0.65). Conclusion: The heterogeneity of the tumor subregion associated with fast wash-out on DCE-MRI predicted early pathological response to neoadjuvant chemotherapy in breast cancer.

Predictors of Sunburn Risk Among Florida Residents.

Science.gov (United States)

Arutyunyan, Sergey; Alfonso, Sarah V; Hernandez, Nilda; Favreau, Tracy; Fernández, M Isabel

2017-03-01

The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high. To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida. Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn. A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; PSunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.

Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis

OpenAIRE

Langebeek, Nienke; Gisolf, Elizabeth H; Reiss, Peter; Vervoort, Sigrid C; Hafsteinsdóttir, Thóra B; Richter, Clemens; Sprangers, Mirjam AG; Nieuwkerk, Pythia T

2014-01-01

Background Adherence to combination antiretroviral therapy (ART) is a key predictor of the success of human immunodeficiency virus (HIV) treatment, and is potentially amenable to intervention. Insight into predictors or correlates of non-adherence to ART may help guide targets for the development of adherence-enhancing interventions. Our objective was to review evidence on predictors/correlates of adherence to ART, and to aggregate findings into quantitative estimates of their impact on adher...

Experiences of High School Students about the Predictors of Tobacco Use: a Directed Qualitative Content Analysis

Directory of Open Access Journals (Sweden)

Mahmoud Ghasemi

2015-12-01

Full Text Available Background and Objectives: Tobacco use is one of the most important risk factors that increases the burden of diseases worldwide. Based on the increasing speed of tobacco use, the aim of the present study was to explain the experiences of high school students about the determiners of use and non-use of tobacco (cigarettes and hookah based on the theory of protection motivation. Materials and Methods: The present study is a qualitative study based on content analysis that has been carried out for five months from 22, November of 2014 to 20, April of 2015 on male high schools in Noshahr. Data were collected in the form of semi-structured interviews from 21 male high school students of whom 7 smoked cigarettes, 7 used hookah and 7 of them did not use any type of tobacco. Data analysis was carried out through the use of directed qualitative content analysis. Results: Data analysis led to the extraction of 99 primary codes that were categorized into 9 predetermined levels of protection motivation theory including perceived sensitivity, perceived intensity, fear, perceived self-efficacy, response expense, efficiency of the perceived answer, external perceived reward, internal perceived reward, protection motivation. The findings of the study showed that the most important predictors for the use of tobacco were the structures of response expense and high perceived rewards and the most important predictors for non-use of tobacco were perceived sensitivity, perceived intensity and high self-efficacy of students. Conclusions: the findings of the present study showed that the pressure from peers, being present in a group using tobacco and the absence of alternative recreational activities are among the most important factors of using tobacco. So, it is suggested that planners of the health department take the comprehensive interventions to improve effective individual and environmental factors of using tobacco so that they could reduce smoking cigarettes

A Course in Time Series Analysis

CERN Document Server

Peña, Daniel; Tsay, Ruey S

2011-01-01

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, a

Predictors of biochemical failure in patients undergoing prostate whole-gland salvage cryotherapy: a novel risk stratification model.

Science.gov (United States)

Spiess, Philippe E; Levy, David A; Mouraviev, Vladimir; Pisters, Louis L; Jones, J Stephen

2013-08-01

What's known on the subject? and what does the study add?: Previous studies have identified the most important prognostic factors of the likely outcomes of salvage prostate whole-gland ablation, including initial clinical stage, biopsy Gleason score, and PSA (total and doubling time). There is potential for further optimization of candidate selection for salvage cryoablation with curative intent and nadir PSA achieved after whole-gland cryotherapy may provide additional prognostic value. The study shows that the most important prognostic factors of biochemical progression-free survival for patients who have undergone whole-gland salvage prostate cryotherapy are nadir PSA achieved after therapy and pre-therapy biopsy Gleason score. Based on these two prognostic variables, we have identified risk stratification groups (low, intermediate and high) which help predict the expected outcomes of salvage whole-gland prostate cryotherapy in a given patient. This risk stratification constitutes a useful clinical tool in defining which patients maybe best suited for this local salvage treatment method. To assess the prognostic variables predicting the risk of biochemical progression-free survival (bPFS) after salvage prostate whole-gland cryotherapy using the Phoenix definition of bPFS. A total of 132 patients underwent prostate whole-gland salvage cryotherapy with curative intent. No patient underwent neoadjuvant/adjuvant hormonal ablative therapy, and all had extended post-salvage prostate-specific antigen (PSA) follow-up data. Cox univariate and multivariate logistic regression analyses of potential predictors of bPFS were conducted. Kaplan-Meier analyses of bPFS was also performed. At a mean (range) follow-up of 4.3 (0.9-12.7) years, the median (range) post-cryotherapy nadir PSA achieved was 0.17 (0-33.9) ng/mL. On multivariate analysis, predictors of bPFS were nadir PSA post-cryotherapy and pre-salvage biopsy Gleason score (P 2.5 ng/mL or biopsy Gleason score ≥ 7, with

Family and Community Predictors of Comorbid Language, Socioemotional and Behavior Problems at School Entry.

Directory of Open Access Journals (Sweden)

Nathan Hughes

Full Text Available To identify the prevalence and family and community-level predictors of comorbid speech-language difficulties and socioemotional and behavioral (SEB difficulties across a population of children at school entry.The School Entry Health Questionnaire is a parent survey of children's health and wellbeing, completed by all children starting school in Victoria, Australia (N = 53256. It includes parental report of speech-language difficulties, the Strengths and Difficulties Questionnaire (behavior, and numerous family and community variables. Following univariate analysis, family and community risk characteristics were entered into a multinomial logistic regression model to identify the associated relative risk of comorbid speech/language and SEB needs. The influence of experiencing multiple risk factors was also examined.20.4% (n = 10,868 began school with either speech-language or SEB difficulties, with 3.1% (n = 1670 experiencing comorbid needs. Five factors predicted comorbidity: the child having witnessed violence; a history of parent mental illness; living in more deprived communities; and the educational attainment of each parent (independently. The relative risk of comorbidity was 6.1 (95% Confidence Interval: 3.9, 9.7 when a child experienced four or more risk factors, compared to those with no risk factors.The risk of comorbidity in early childhood is associated with a range of family and community factors, and elevated by the presence of multiple factors. Children growing up in families experiencing multiple, complex needs are therefore at heightened risk of the early development of difficulties likely to impact upon schooling. Early identification of these children offers opportunities for appropriate and timely health and education intervention.

Marital status independently predicts testis cancer survival--an analysis of the SEER database.

Science.gov (United States)

Abern, Michael R; Dude, Annie M; Coogan, Christopher L

2012-01-01

Previous reports have shown that married men with malignancies have improved 10-year survival over unmarried men. We sought to investigate the effect of marital status on 10-year survival in a U.S. population-based cohort of men with testis cancer. We examined 30,789 cases of testis cancer reported to the Surveillance, Epidemiology, and End Results (SEER 17) database between 1973 and 2005. All staging were converted to the 1997 AJCC TNM system. Patients less than 18 years of age at time of diagnosis were excluded. A subgroup analysis of patients with stages I or II non-seminomatous germ cell tumors (NSGCT) was performed. Univariate analysis using t-tests and χ(2) tests compared characteristics of patients separated by marital status. Multivariate analysis was performed using a Cox proportional hazard model to generate Kaplan-Meier survival curves, with all-cause and cancer-specific mortality as the primary endpoints. 20,245 cases met the inclusion criteria. Married men were more likely to be older (38.9 vs. 31.4 years), Caucasian (94.4% vs. 92.1%), stage I (73.1% vs. 61.4%), and have seminoma as the tumor histology (57.3% vs. 43.4%). On multivariate analysis, married status (HR 0.58, P married status (HR 0.60, P married and unmarried men (44.8% vs. 43.4%, P = 0.33). Marital status is an independent predictor of improved overall and cancer-specific survival in men with testis cancer. In men with stages I or II NSGCT, RPLND is an additional predictor of improved overall survival. Marital status does not appear to influence whether men undergo RPLND. Copyright © 2012 Elsevier Inc. All rights reserved.

In situ calibration using univariate analyses based on the onboard ChemCam targets: first prediction of Martian rock and soil compositions

International Nuclear Information System (INIS)

Fabre, C.; Cousin, A.; Wiens, R.C.; Ollila, A.; Gasnault, O.; Maurice, S.; Sautter, V.; Forni, O.; Lasue, J.; Tokar, R.; Vaniman, D.; Melikechi, N.

2014-01-01

Curiosity rover landed on August 6th, 2012 in Gale Crater, Mars and it possesses unique analytical capabilities to investigate the chemistry and mineralogy of the Martian soil. In particular, the LIBS technique is being used for the first time on another planet with the ChemCam instrument, and more than 75,000 spectra have been returned in the first year on Mars. Curiosity carries body-mounted calibration targets specially designed for the ChemCam instrument, some of which are homgeneous glasses and others that are fine-grained glass-ceramics. We present direct calibrations, using these onboard standards to infer elements and element ratios by ratioing relative peak areas. As the laser spot size is around 300 μm, the LIBS technique provides measurements of the silicate glass compositions representing homogeneous material and measurements of the ceramic targets that are comparable to fine-grained rock or soil. The laser energy and the auto-focus are controlled for all sequences used for calibration. The univariate calibration curves present relatively to very good correlation coefficients with low RSDs for major and ratio calibrations. Trace element calibration curves (Li, Sr, and Mn), down to several ppm, can be used as a rapid tool to draw attention to remarkable rocks and soils along the traverse. First comparisons to alpha-particle X-ray spectroscopy (APXS) data, on selected targets, show good agreement for most elements and for Mg# and Al/Si estimates. SiO 2 estimates using univariate cannot be yet used. Na 2 O and K 2 O estimates are relevant for high alkali contents, but probably under estimated due to the CCCT initial compositions. Very good results for CaO and Al 2 O 3 estimates and satisfactory results for FeO are obtained. - Highlights: • In situ LIBS univariate calibrations are done using the Curiosity onboard standards. • Major and minor element contents can be rapidly obtained. • Trace element contents can be used as a rapid tool along the

Predictors of response to neuroleptic treatment in schizophrenia.

Science.gov (United States)

Stern, R G; Kahn, R S; Davidson, M

1993-06-01

Baseline symptom severity, early reduction in symptom severity, initial subjective response to neuroleptic treatment, the degree of brain atrophy, and early changes in pHVA levels appear to predict treatment outcome in schizophrenic patients. Computerized EEG results, neuropsychological and neurophysiologic tests, and baseline pHVA concentrations require further examination. Only a limited proportion of variance in treatment response, however, could be explained by either of the nine predictors alone or combined. Therefore, further research is necessary to discover yet unidentified determinants of treatment response. Future studies should test the validity and reliability of these five promising predictors in large groups of male and female patients, employ high standards for assessment reliability of clinical parameters, and use absolute rating scores on psychopathology as well as functional scales for the definition of good and poor treatment response. Furthermore, the statistical approach for data analysis should take in consideration the need for appropriate corrections when multiple correlations are performed and should test the extent to which these predictors are interdependent.

Prevalence, perceptions and predictors of alcohol consumption and abstinence among South Australian school students: a cross-sectional analysis.

Science.gov (United States)

Bowden, Jacqueline A; Delfabbro, Paul; Room, Robin; Miller, Caroline L; Wilson, Carlene

2017-06-07

Alcohol consumption by young people (particularly early initiation) is a predictor for poorer health in later life. In addition, evidence now clearly shows a causal link between alcohol and cancer. This study investigated prevalence, predictors of alcohol consumption among adolescents including perceptions of the link between alcohol and cancer, and the role of parents and peers. A sample of Australian school students aged 12-17 years participated in a survey (n = 2885). Logistic regression analysis was undertaken to determine predictors. Alcohol use increased with age and by 16, most had tried alcohol with 33.1% of students aged 12-17 reporting that they drank at least occasionally (95% CI = 31.0-35.2). Awareness of the link between alcohol and cancer was low (28.5%). Smoking status and friends' approval were predictive of drinking, whereas parental disapproval was protective. Those aged 14-17 who did not think the link between alcohol and cancer was important were more likely to drink, as were those living in areas of least disadvantage. The only factors that predicted recent drinking were smoking and the perception that alcohol was easy to purchase. An education campaign highlighting the link between alcohol and cancer may have positive flow-on effects for young people, and schools should incorporate this messaging into any alcohol education programs. Consideration should be given to factors that serve to regulate under-aged accessibility of alcohol.

Talent predictors

Directory of Open Access Journals (Sweden)

Raquel Lorenzo

2007-07-01

Full Text Available The knowledge of talent predictors is the initial point for building diagnosis and encouragement procedures in this field. The meaning of word predictor is to anticipate the future, to divine. Early prediction of high performance is complex problem no resolute by the science yet. There are many discrepancies about what measure and how to do. The article analyze the art state in this problematic because the excellence is determined by the interaction between internal and environmental factors.

Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy.

Science.gov (United States)

Wu, Jia; Gong, Guanghua; Cui, Yi; Li, Ruijiang

2016-11-01

To predict pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multiregion analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). In this Institutional Review Board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using 3T DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with high temporal resolution. We then partitioned the whole tumor into multiple subregions using k-means clustering based on the PCA-defined eigenmaps. Within each tumor subregion, we extracted four quantitative Haralick texture features based on the gray-level co-occurrence matrix (GLCM). The change in texture features in each tumor subregion between pre- and during-NAC was used to predict pathological complete response after NAC. Three tumor subregions were identified through clustering, each with distinct enhancement characteristics. In univariate analysis, all imaging predictors except one extracted from the tumor subregion associated with fast washout were statistically significant (P < 0.05) after correcting for multiple testing, with area under the receiver operating characteristic (ROC) curve (AUC) or AUCs between 0.75 and 0.80. In multivariate analysis, the proposed imaging predictors achieved an AUC of 0.79 (P = 0.002) in leave-one-out cross-validation. This improved upon conventional imaging predictors such as tumor volume (AUC = 0.53) and texture features based on whole-tumor analysis (AUC = 0.65). The heterogeneity of the tumor subregion associated with fast washout on DCE-MRI predicted pathological response to NAC in breast cancer. J. Magn. Reson. Imaging 2016;44:1107-1115. © 2016 International Society for Magnetic Resonance in Medicine.

PID-controller with predictor and auto-tuning algorithm: study of efficiency for thermal plants

Science.gov (United States)

Kuzishchin, V. F.; Merzlikina, E. I.; Hoang, Van Va

2017-09-01

The problem of efficiency estimation of an automatic control system (ACS) with a Smith predictor and PID-algorithm for thermal plants is considered. In order to use the predictor, it is proposed to include an auto-tuning module (ATC) into the controller; the module calculates parameters for a second-order plant module with a time delay. The study was conducted using programmable logical controllers (PLC), one of which performed control, ATC, and predictor functions. A simulation model was used as a control plant, and there were two variants of the model: one of them was built on the basis of a separate PLC, and the other was a physical model of a thermal plant in the form of an electrical heater. Analysis of the efficiency of the ACS with the predictor was carried out for several variants of the second order plant model with time delay, and the analysis was performed on the basis of the comparison of transient processes in the system when the set point was changed and when a disturbance influenced the control plant. The recommendations are given on correction of the PID-algorithm parameters when the predictor is used by means of using the correcting coefficient k for the PID parameters. It is shown that, when the set point is changed, the use of the predictor is effective taking into account the parameters correction with k = 2. When the disturbances influence the plant, the use of the predictor is doubtful, because the transient process is too long. The reason for this is that, in the neighborhood of the zero frequency, the amplitude-frequency characteristic (AFC) of the system with the predictor has an ascent in comparison with the AFC of the system without the predictor.

Predictive factors in patients with hepatocellular carcinoma receiving sorafenib therapy using time-dependent receiver operating characteristic analysis.

Science.gov (United States)

Nishikawa, Hiroki; Nishijima, Norihiro; Enomoto, Hirayuki; Sakamoto, Azusa; Nasu, Akihiro; Komekado, Hideyuki; Nishimura, Takashi; Kita, Ryuichi; Kimura, Toru; Iijima, Hiroko; Nishiguchi, Shuhei; Osaki, Yukio

2017-01-01

To investigate variables before sorafenib therapy on the clinical outcomes in hepatocellular carcinoma (HCC) patients receiving sorafenib and to further assess and compare the predictive performance of continuous parameters using time-dependent receiver operating characteristics (ROC) analysis. A total of 225 HCC patients were analyzed. We retrospectively examined factors related to overall survival (OS) and progression free survival (PFS) using univariate and multivariate analyses. Subsequently, we performed time-dependent ROC analysis of continuous parameters which were significant in the multivariate analysis in terms of OS and PFS. Total sum of area under the ROC in all time points (defined as TAAT score) in each case was calculated. Our cohort included 175 male and 50 female patients (median age, 72 years) and included 158 Child-Pugh A and 67 Child-Pugh B patients. The median OS time was 0.68 years, while the median PFS time was 0.24 years. On multivariate analysis, gender, body mass index (BMI), Child-Pugh classification, extrahepatic metastases, tumor burden, aspartate aminotransferase (AST) and alpha-fetoprotein (AFP) were identified as significant predictors of OS and ECOG-performance status, Child-Pugh classification and extrahepatic metastases were identified as significant predictors of PFS. Among three continuous variables (i.e., BMI, AST and AFP), AFP had the highest TAAT score for the entire cohort. In subgroup analyses, AFP had the highest TAAT score except for Child-Pugh B and female among three continuous variables. In continuous variables, AFP could have higher predictive accuracy for survival in HCC patients undergoing sorafenib therapy.

Predictors of yoga use among internal medicine patients.

Science.gov (United States)

Cramer, Holger; Lauche, Romy; Langhorst, Jost; Paul, Anna; Michalsen, Andreas; Dobos, Gustav

2013-07-13

Yoga seems to be an effective means to cope with a variety of internal medicine conditions. While characteristics of yoga users have been investigated in the general population, little is known about predictors of yoga use and barriers to yoga use in internal medicine patients. The aim of this cross-sectional analysis was to identify sociodemographic, clinical, and psychological predictors of yoga use among internal medicine patients. A cross-sectional analysis was conducted among all patients being referred to a Department of Internal and Integrative Medicine during a 3-year period. It was assessed whether patients had ever used yoga for their primary medical complaint, the perceived benefit, and the perceived harm of yoga practice. Potential predictors of yoga use including sociodemographic characteristics, health behavior, internal medicine diagnosis, general health status, mental health, satisfaction with health, and health locus of control were assessed; and associations with yoga use were tested using multiple logistic regression analysis. Odds ratios (OR) with 95% confidence intervals (CI) were calculated for significant predictors. Of 2486 participants, 303 (12.19%) reported having used yoga for their primary medical complaint. Of those, 184 (60.73%) reported benefits and 12 (3.96%) reported harms due to yoga practice. Compared to yoga non-users, yoga users were more likely to be 50-64 years old (OR = 1.45; 95%CI = 1.05-2.01; P = 0.025); female (OR = 2.45; 95%CI = 1.45-4.02; P internal health locus of control (OR = 1.92; 95%CI = 1.38-2.67; P internal integrative medicine patient population and was commonly perceived as beneficial. Yoga use was not associated with the patients' specific diagnosis but with sociodemographic factors, mental health, and health locus of control. To improve adherence to yoga practice, it should be considered that male, younger, and anxious patients and those with low internal health locus of control might be less intrinsically

Predictors of early return to work after a coronary artery bypass graft surgery (CABG

Directory of Open Access Journals (Sweden)

Ramin Mehrdad

2016-12-01

Full Text Available Objectives: Identifying factors predictive of early return to work in patients who underwent a coronary artery bypass graft surgery (CABG. Material and Methods: Two hundred twenty-six working patients who volunteered and underwent a primary coronary artery bypass surgery between September 2013 and May 2014 were selected for the study and followed up for 6 months. Predictors of early return to work (RTW (within 2 months were analyzed from variables in a prospectively collected database and the 36-Item Short Form Health Survey (SF-36 questionnaire carried out in the hospital and rehabilitation center as well as from the follow-up performed via the phone. Results: One hundred and two (45.1% and 155 (68.9% patients returned to work within 2 and 3 months after the surgery, respectively. Furthermore, 196 patients (87.1% returned to work within 6 months after the surgery. In the univariate analysis, demographic or socioeconomic factors (such as age, level of education, income, occupational factors (such as occupation type, working hours per week, duration of the preoperative absence from work, psychological factors (such as a patient’s concern about adverse health effects of RTW, feeling depressed, a patient’s attitude towards his/her ability to RTW and a patient’s perception of his/her job stress level and medical factors (such as serum troponin T and creatine kinase MB (CKMB level, pump time in surgery, co-surgery and dyslipidemia history had a statistically significant correlation with early return to work. The patients who early returned to work had significantly higher scores in 3 domains on the SF-36 questionnaire (used for assessing the patients’ quality of life, compared to those who did not return to work early (including physical functioning, role limitations due to physical health and pain. Conclusions: In the present study we identified 4 new medical factors that could be used as predictors of early return to work after CABG. These

The influence of different classification standards of age groups on prognosis in high-grade hemispheric glioma patients.

Science.gov (United States)

Chen, Jian-Wu; Zhou, Chang-Fu; Lin, Zhi-Xiong

2015-09-15

Although age is thought to correlate with the prognosis of glioma patients, the most appropriate age-group classification standard to evaluate prognosis had not been fully studied. This study aimed to investigate the influence of age-group classification standards on the prognosis of patients with high-grade hemispheric glioma (HGG). This retrospective study of 125 HGG patients used three different classification standards of age-groups (≤ 50 and >50 years old, ≤ 60 and >60 years old, ≤ 45 and 45-65 and ≥ 65 years old) to evaluate the impact of age on prognosis. The primary end-point was overall survival (OS). The Kaplan-Meier method was applied for univariate analysis and Cox proportional hazards model for multivariate analysis. Univariate analysis showed a significant correlation between OS and all three classification standards of age-groups as well as between OS and pathological grade, gender, location of glioma, and regular chemotherapy and radiotherapy treatment. Multivariate analysis showed that the only independent predictors of OS were classification standard of age-groups ≤ 50 and > 50 years old, pathological grade and regular chemotherapy. In summary, the most appropriate classification standard of age-groups as an independent prognostic factor was ≤ 50 and > 50 years old. Pathological grade and chemotherapy were also independent predictors of OS in post-operative HGG patients. Copyright © 2015. Published by Elsevier B.V.

Predictors of suicidal ideation in older people: a decision tree analysis.

Science.gov (United States)

Handley, Tonelle E; Hiles, Sarah A; Inder, Kerry J; Kay-Lambkin, Frances J; Kelly, Brian J; Lewin, Terry J; McEvoy, Mark; Peel, Roseanne; Attia, John R

2014-11-01

Suicide among older adults is a major public health issue worldwide. Although studies have identified psychological, physical, and social contributors to suicidal thoughts in older adults, few have explored the specific interactions between these factors. This article used a novel statistical approach to explore predictors of suicidal ideation in a community-based sample of older adults. Prospective cohort study. Participants aged 55-85 years were randomly selected from the Hunter Region, a large regional center in New South Wales, Australia. Baseline psychological, physical, and social factors, including psychological distress, physical functioning, and social support, were used to predict suicidal ideation at the 5-year follow-up. Classification and regression tree modeling was used to determine specific risk profiles for participants depending on their individual well-being in each of these key areas. Psychological distress was the strongest predictor, with 25% of people with high distress reporting suicidal ideation. Within high psychological distress, lower physical functioning significantly increased the likelihood of suicidal ideation, with high distress and low functioning being associated with ideation in 50% of cases. A substantial subgroup reported suicidal ideation in the absence of psychological distress; dissatisfaction with social support was the most important predictor among this group. The performance of the model was high (area under the curve: 0.81). Decision tree modeling enabled individualized "risk" profiles for suicidal ideation to be determined. Although psychological factors are important for predicting suicidal ideation, both physical and social factors significantly improved the predictive ability of the model. Assessing these factors may enhance identification of older people at risk of suicidal ideation. Copyright © 2014. Published by Elsevier Inc.

Rates and predictors of depression status among caregivers of patients with COPD hospitalized for acute exacerbations: a prospective study

Directory of Open Access Journals (Sweden)

Bernabeu-Mora R

2016-12-01

Full Text Available Roberto Bernabeu-Mora,1–3 Gloria García-Guillamón,2 Joaquina Montilla-Herrador,2,3 Pilar Escolar-Reina,2,3 José Antonio García-Vidal,2 Francesc Medina-Mirapeix2,3 1Division of Pneumology, Hospital Morales Meseguer, 2Department of Physical Therapy, University of Murcia, 3Physiotherapy and Disability Research Group, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB, Murcia, Spain Background: Hospitalization is common for acute exacerbation of COPD, but little is known about its impact on the mental health of caregivers. Objective: The aim of this study was to determine the rates and predictors of depressive symptoms in caregivers at the time of hospitalization for acute exacerbation of COPD and to identify the probability and predictors of subsequent changes in depressive status 3 months after discharge. Materials and methods: This was a prospective study. Depression symptoms were measured in 87 caregivers of patients hospitalized for exacerbation at hospitalization and 3 months after discharge. We measured factors from four domains: context of care, caregiving demands, caregiver resources, and patient characteristics. Univariate and multivariate multiple logistic regressions were used to determine the predictors of depression at hospitalization and subsequent changes at 3 months. Results: A total of 45 caregivers reported depression at the time of hospitalization. After multiple adjustments, spousal relationship, dyspnea, and severe airflow limitation were the strongest independent predictors of depression at hospitalization. Of these 45 caregivers, 40% had a remission of their depression 3 months after discharge. In contrast, 16.7% of caregivers who were not depressive at hospitalization became depressive at 3 months. Caregivers caring >20 hours per week for patients with dependencies had decreased odds of remission, and patients having dependencies after discharge increased the odds of caregivers becoming

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

Science.gov (United States)

Karyotaki, E; Kleiboer, A; Smit, F; Turner, D T; Pastor, A M; Andersson, G; Berger, T; Botella, C; Breton, J M; Carlbring, P; Christensen, H; de Graaf, E; Griffiths, K; Donker, T; Farrer, L; Huibers, M J H; Lenndin, J; Mackinnon, A; Meyer, B; Moritz, S; Riper, H; Spek, V; Vernmark, K; Cuijpers, P

2015-10-01

It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Predictors of fibromyalgia: a population-based twin cohort study.

Science.gov (United States)

Markkula, Ritva A; Kalso, Eija A; Kaprio, Jaakko A

2016-01-15

Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with "possible FM". This study explores prospectively predictors for membership of that FM-symptom cluster. A population-based sample of 8343 subjects of the older Finnish Twin Cohort replied to health questionnaires in 1975, 1981, and 1990. Their answers to the set of FM-symptom questions in 1990 classified them in three latent classes (LC): LC1 with no or few symptoms, LC2 with some symptoms, and LC3 with many FM symptoms. We analysed putative predictors for these symptom classes using baseline (1975 and 1981) data on regional pain, headache, migraine, sleeping, body mass index (BMI), physical activity, smoking, and zygosity, adjusted for age, gender, and education. Those with a high likelihood of having fibromyalgia at baseline were excluded from the analysis. In the final multivariate regression model, regional pain, sleeping problems, and overweight were all predictors for membership in the class with many FM symptoms. The strongest non-genetic predictor was frequent headache (OR 8.6, CI 95% 3.8-19.2), followed by persistent back pain (OR 4.7, CI 95% 3.3-6.7) and persistent neck pain (OR 3.3, CI 95% 1.8-6.0). Regional pain, frequent headache, and persistent back or neck pain, sleeping problems, and overweight are predictors for having a cluster of symptoms consistent with fibromyalgia.

Elevated level of peripheral CD8(+)CD28(-) T lymphocytes are an independent predictor of progression-free survival in patients with metastatic breast cancer during the course of chemotherapy.

Science.gov (United States)

Song, Guohong; Wang, Xiaoli; Jia, Jun; Yuan, Yanhua; Wan, Fengling; Zhou, Xinna; Yang, Huabing; Ren, Jun; Gu, Jiezhun; Lyerly, Herbert Kim

2013-06-01

Suppression of cellular immunity resulting from tumorigenesis and/or therapy might promote cancer cells' growth, progression and invasion. Here, we explored whether T lymphocyte subtypes from peripheral blood of metastatic breast cancer (MBC) female patients could be used as alternative surrogate markers for cancer progress. Additionally, plasma levels of interleukin (IL)-2, IL-4, IL-6, IL-10, IFN-γ, and transforming growth factor-β1 were quantitated from MBC and healthy volunteers. This study included 89 female MBC patients during the post-salvage chemotherapy follow-up and 50 age- and sex-matched healthy volunteers as control. The percentages of T lymphocyte subpopulations from peripheral blood and plasma levels of cytokines were measured. Both CD8(+)CD28(-) and CD4(+)CD25(+) were elevated in MBC patients compared to the control cohort (P < 0.05). In contrast, CD3(+) and CD8(+)CD28(+)cells were significantly lower in MBC patients (P < 0.0001, P = 0.045, respectively). MBC patients had elevated levels of immunosuppressive cytokines IL-6 and IL-10. Patients with elevated CD8(+)CD28(-) and CD4(+)CD25(+) cells showed increased levels of IL-6, and only patients with elevated CD8(+)CD28(-) had decreased interferon-γ. Univariate analysis indicated increased CD3(+)CD4(+) or CD8(+)CD28(+)correlated with prolonged progression-free survival (PFS), while elevated CD8(+)CD28(-)associated with shorten PFS. The percent of CD8(+)CD28(-) T lymphocytes is an independent predictor for PFS through multivariate analysis. This study suggests that progressive elevated levels of CD8(+)CD28(-) suppressor T lymphocytes represent a novel independent predictor of PFS during post-chemotherapy follow-up.

Predictors of Internet use for health information among male and female Internet users: Findings from the 2009 Taiwan National Health Interview Survey.

Science.gov (United States)

Koo, Malcolm; Lu, Ming-Chi; Lin, Shih-Chun

2016-10-01

The Internet is an increasingly important source of health information for the general population. Both preventive health behavior and Internet use are known to be different between men and women. However, few studies have compared predictors of Internet use for health information between the sexes. To investigate the prevalence and predictors of Internet use for health information among male and female adult Internet users using data from a population-based survey in Taiwan. Respondents between the ages of 20-65 years were identified from the dataset of the 2009 Taiwan National Health Interview Survey. The outcome variable of the study, the utilization of the Internet for health information, was ascertained by asking whether the respondent had ever used the Internet to search for health information or obtain health services. Univariate and multivariate logistic regression analyses were conducted separately for men and women to evaluate factors associated with the use of Internet for health information. Of the 2741 adults aged 20-65 years who had ever used the Internet, 1766 (64.4%) of them had used it for health information or services. Multivariate logistic regression analyses showed that a higher educational level (adjusted odds ratio [AOR]=3.60, Pused Western medicine services in the past month (AOR=1.51, P=0.005) were significantly associated with health information use in male Internet users. On the other hand, age between 20-44.9 years (AOR=1.87, PInternet users. This secondary data analysis of a representative sample of Taiwan population revealed that a similar but not identical set of independent factors was associated with the use of Internet for health information between male and female Internet users. Copyright © 2016. Published by Elsevier Ireland Ltd.

The issue of multiple univariate comparisons in the context of neuroelectric brain mapping: an application in a neuromarketing experiment.

Science.gov (United States)

Vecchiato, G; De Vico Fallani, F; Astolfi, L; Toppi, J; Cincotti, F; Mattia, D; Salinari, S; Babiloni, F

2010-08-30

This paper presents some considerations about the use of adequate statistical techniques in the framework of the neuroelectromagnetic brain mapping. With the use of advanced EEG/MEG recording setup involving hundred of sensors, the issue of the protection against the type I errors that could occur during the execution of hundred of univariate statistical tests, has gained interest. In the present experiment, we investigated the EEG signals from a mannequin acting as an experimental subject. Data have been collected while performing a neuromarketing experiment and analyzed with state of the art computational tools adopted in specialized literature. Results showed that electric data from the mannequin's head presents statistical significant differences in power spectra during the visualization of a commercial advertising when compared to the power spectra gathered during a documentary, when no adjustments were made on the alpha level of the multiple univariate tests performed. The use of the Bonferroni or Bonferroni-Holm adjustments returned correctly no differences between the signals gathered from the mannequin in the two experimental conditions. An partial sample of recently published literature on different neuroscience journals suggested that at least the 30% of the papers do not use statistical protection for the type I errors. While the occurrence of type I errors could be easily managed with appropriate statistical techniques, the use of such techniques is still not so largely adopted in the literature. Copyright (c) 2010 Elsevier B.V. All rights reserved.

Predictors of Stress in Nigerian Executives | Adeoye | Nigerian ...

African Journals Online (AJOL)

Eight major predictor variables of workload, role, career prospects, organizational structure and climate, interpersonal relations, environment, home and private life were tested using simple regression analysis. Also, public and private sector executives were compared on the basis of age and working experience. All results ...

Clinical and dosimetric predictors of acute hematologic toxicity in rectal cancer patients undergoing chemoradiotherapy

International Nuclear Information System (INIS)

Yang, T. Jonathan; Oh, Jung Hun; Apte, Aditya; Son, Christina H.; Deasy, Joseph O.; Goodman, Karyn A.

2014-01-01

Background and purpose: To identify clinical and dosimetric factors associated with hematologic toxicity (HT) during chemoradiotherapy for rectal cancer. Materials and methods: We analyzed 120 rectal cancer patients treated with neoadjuvant pelvic radiotherapy (PRT) with concurrent 5-fluorouracil-based chemotherapy. The coxal (ilium, ischium, and pubis) bone marrow (BM), sacral BM, and femoral BM were contoured and dose-volume parameters were extracted. Associations between cell count trend and clinical predictors were tested using repeated-measures analysis of variance (ANOVA) test. Associations between clinical variables, Vx (percentage volume receiving x Gy), and cell count ratio at nadir were tested using linear regression models. Results: Nadirs for white blood cell count (WBC), absolute neutrophil count (ANC), and platelets (PLT) occurred in the second week of PRT and the fifth week for hemoglobin and absolute lymphocyte count (ALC). Using cell count ratio, patients treated with 3DCRT had a lower WBC ratio trend during PRT compared to patients treated with IMRT (p = 0.04), and patients ⩾59 years of age had a lower hemoglobin ratio trend during PRT (p = 0.02). Using absolute cell count, patients treated with 3DCRT had lower ANC cell count trend (p = 0.03), and women had lower hemoglobin cell count trend compared to men (p = 0.03). On univariate analysis, use of 3DCRT was associated with a lower WBC ratio at nadir (p = 0.02). On multiple regression analysis using dosimetric variables, coxal BM V45 (p = 0.03) and sacral BM V45 (p = 0.03) were associated with a lower WBC and ANC ratio at nadir, respectively. Conclusions: HT trends during PRT revealed distinct patterns: WBC, ANC, and PLT cell counts reach nadirs early and recover, while hemoglobin and ALC decline steadily. Patients who were treated with 3DCRT and older patients experienced lower cell count ratio trend during PRT. Dosimetric constraints using coxal BM V45 and sacral BM V45 can be considered

Time from first detectable PSA following radical prostatectomy to biochemical recurrence: A competing risk analysis

Science.gov (United States)

de Boo, Leonora; Pintilie, Melania; Yip, Paul; Baniel, Jack; Fleshner, Neil; Margel, David

2015-01-01

Introduction: In this study, we estimated the time from first detectable prostate-specific antigen (PSA) following radical prostatectomy (RP) to commonly used definitions of biochemical recurrence (BCR). We also identified the predictors of time to BCR. Methods: We identified subjects who underwent a RP and had an undetectable PSA after surgery followed by at least 1 detectable PSA between 2000 and 2011. The primary outcome was time to BCR (PSA ≥0.2 and successive PSA ≥0.2) and prediction of the rate of PSA rise. Outcomes were calculated using a competing risk analysis, with univariable and multivariable Fine and Grey models. We employed a mixed effect model to test clinical predictors that are associated with the rate of PSA rise. Results: The cohort included 376 patients. The median follow-up from surgery was 60.5 months (interquartile range [IQR] 40.8–91.5) and from detectable PSA was 18 months (IQR 11–32). Only 45.74% (n = 172) had PSA values ≥0.2 ng/mL, while 15.16% (n = 57) reached the PSA level of ≥0.4 ng/mL and rising. On multivariable analysis, the values of the first detectable PSA and pathologic Gleason grade 8 or higher were consistently independent predictors of time to BCR. In the mixed effect model rate, the PSA rise was associated with time from surgery to first detectable PSA, Gleason score, and prostate volume. The main limitation of this study is the large proportion of patients that received treatment without reaching BCR. It is plausible that shorter estimated median times would occur at a centre that does not use salvage therapy at such an early state. Conclusion: The time from first detectable PSA to BCR may be lengthy. Our analyses of the predictors of the rate of PSA rise can help determine a personalized approach for patients with a detectable PSA after surgery. PMID:25624961

Determinants of spirometric abnormalities among silicotic patients in Hong Kong.

Science.gov (United States)

Leung, Chi C; Chang, Kwok C; Law, Wing S; Yew, Wing W; Tam, Cheuk M; Chan, Chi K; Wong, Man Y

2005-09-01

Silicosis is the second commonest notified occupational disease in Hong Kong. To characterize the determinants of spirometric abnormalities in silicosis. The spirometric patterns of consecutive silicotic patients on confirmation by the Pneumoconiosis Medical Board from 1991 to 2002 were correlated with demographic characteristics, occupational history, smoking history, tuberculosis (TB) history and radiographic features by univariate and multiple regression analyses. Of 1576 silicotic patients included, 55.6% showed normal spirometry, 28.5% normal forced vital capacity (FVC>or=80% predicted) but reduced forced expiratory ratio (FERjob type, history of TB, size of lung nodules and progressive massive fibrosis (PMF) were all significantly associated with airflow limitation on univariate analysis (all P<0.05), while sex and profusion of nodules were not. Only age, cigarette pack-years, history of TB, size of lung nodules and PMF remained as significant independent predictors of airflow obstruction in multiple logistic regression analysis. After controlling for airflow obstruction, only shorter exposure duration, history of TB and profusion of nodules were significant independent predictors of reduced FVC. As well as age, history of TB, cigarette pack-years, PMF and nodule size contributed comparable effects to airflow obstruction in multiple linear regression analyses, while profusion of nodules was the strongest factor for reduced vital capacity. In an occupational compensation setting, disease indices and history of tuberculosis are independent predictors of both airflow obstruction and reduced vital capacity for silicotic patients.

Evaluation of nutritional status as an independent predictor of post-operative complications and morbidity after gastro-intestinal surgery.

Science.gov (United States)

van der Kroft, G; Janssen-Heijnen, M L G; van Berlo, C L H; Konsten, J L M

2015-08-01

Nutritional Risk Screening-2002 (NRS-2002) and the Malnutrition Universal Screening Tool (MUST) are screening tools for nutritional risk that have also been used to predict post-operative complications and morbidity, though not all studies confirm the reliability of nutritional screening. Our study aims to evaluate the independent predictive value of nutritional risk screening in addition to currently documented medical, surgical and anesthesiological risk factors for post-operative complications, as well as length of hospital stay. This study is a prospective observational cohort study of 129 patients undergoing elective gastro-intestinal-surgery. Patients were screened for nutritional risk upon admission using both MUST and NRS-2002 screening tools. Univariate and multivariate analyses were performed to investigate the independent predictive value of nutritional risk for post-operative complications and length of hospital stay. MUST ≥2 (OR 2.87; 95% CI 1.05-7.87) and peri-operative transfusion (OR 2.78; 95% CI 1.05-7.40) were significant independent predictors for the occurrence of post-operative complications. Peri-operative transfusion (HR 2.40; 95% CI 1.45-4.00), age ≥70 (HR 1.50; 95% CI 1.05-2.16) and open surgery versus laparoscopic surgery (HR 1.39; 95% CI 0.94-2.05) were independent predictors for increased length of hospital stay, whereas American Society of Anesthesiology Score (ASA) and MUST were not. Nutritional risk screening (MUST ≥2) is an independent predictor for post-operative complications, but not for increased length of hospital stay. Copyright © 2015 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.

Magnetic resonance imaging assessment of intraventricular dyssynchrony and delayed enhancement as predictors of response to cardiac resynchronization therapy in patients with heart failure of ischaemic and non-ischaemic etiologies

International Nuclear Information System (INIS)

Petryka, Joanna; Miśko, Jolanta; Przybylski, Andrzej; Śpiewak, Mateusz; Małek, Łukasz A.; Werys, Konrad; Mazurkiewicz, Łukasz; Gepner, Katarzyna; Croisille, Pierre; Demkow, Marcin; Rużyłło, Witold

2012-01-01

Purpose: To assess the value of dyssynchrony and myocardial viability assessment by cardiac magnetic resonance (CMR) in prediction of response to cardiac resynchronization therapy (CRT) in patients with heart failure (HF) of both ischaemic and non-ischaemic etiologies. Materials and methods: Patients scheduled for CRT in NYHA class II–IV, left ventricular ejection fraction <35%, QRS ≥ 120 ms were included. Tagged cine and late gadolinium enhancement (LGE) images were performed. Dyssynchrony was assessed with inTag toolbox and LGE was quantified using cutoff value at half of maximal signal in the scar. Cardiopulmonary exercise test, echocardiography and blood testing for NT-proBNP levels were done at baseline and 6 months after CRT. Results: 52 patients (age 60.3 ± 13 years) were included. 26 patients (50%) met response criteria. The ischaemic etiology of HF was more frequent (69% vs. 31%, p = 0.002), the percent of LGE was higher (7.7% [0–13.5%] vs. 19.0% (0–31.9%], p = 0.013), regional vector of circumferential strain variance (RVV) was lower (0.27 ± 0.08 vs. 0.34 ± 0.09, p = 0.009) and uniformity of radial strain was higher (0.72 ± 0.25 vs. 0.56 ± 0.29, p = 0.046) in non-responders vs. responders. Multivariate logistic regression showed that RVV predicted response to CRT (HR 2.3, 95% CI 1.02–5.02, p = 0.0430) independently of LGE and the etiology of heart failure. In the subgroup of patients with ischaemic HF the extend of transmural scar within myocardium was higher in non-responders vs. responders (26.3% vs. 15.0% respectively, p = 0.01) and was a predictor of response to CRT in univariable analysis (HR 0.87, 95% CI 0.77–0.98, p = 0.025) providing the sensitivity of 76% and specificity of 75% at the cutoff point of 18% in the prediction of poor response to CRT. In patients with non-ischaemic HF QRS was wider (162 ms vs. 140 ms, p = 0.04), regional vector of strain variance (RVV) was higher (0.39 vs. 0.25, p = 0.002) and uniformity of radial

Magnetic resonance imaging assessment of intraventricular dyssynchrony and delayed enhancement as predictors of response to cardiac resynchronization therapy in patients with heart failure of ischaemic and non-ischaemic etiologies

Energy Technology Data Exchange (ETDEWEB)

Petryka, Joanna, E-mail: joannapetryka@hotmail.com [Department of Coronary Artery Disease and Structural Heart Diseases, Institute of Cardiology, Warsaw (Poland); Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Miśko, Jolanta [Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Department of Radiology, Institute of Cardiology, Warsaw (Poland); Przybylski, Andrzej [Department of Arrhythmia, Institute of Cardiology, Warsaw (Poland); Śpiewak, Mateusz [Department of Coronary Artery Disease and Structural Heart Diseases, Institute of Cardiology, Warsaw (Poland); Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Małek, Łukasz A. [Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Department of Cardiology and Interventional Angiology, Institute of Cardiology, Warsaw (Poland); Werys, Konrad [Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Mazurkiewicz, Łukasz [Cardiovascular Magnetic Resonance Unit, Institute of Cardiology, Warsaw (Poland); Department of Cardiomyopathy, Institute of Cardiology, Warsaw (Poland); Gepner, Katarzyna [Department of Coronary Artery Disease, Institute of Cardiology, Warsaw (Poland); Croisille, Pierre [Creatis Laboratory, UMR CNRS 5515, INSERM, U1044, CHU Saint-Etienne, Universite de Lyon (France); Demkow, Marcin [Department of Coronary Artery Disease and Structural Heart Diseases, Institute of Cardiology, Warsaw (Poland); Rużyłło, Witold [Institute of Cardiology, Warsaw (Poland)

2012-10-15

Purpose: To assess the value of dyssynchrony and myocardial viability assessment by cardiac magnetic resonance (CMR) in prediction of response to cardiac resynchronization therapy (CRT) in patients with heart failure (HF) of both ischaemic and non-ischaemic etiologies. Materials and methods: Patients scheduled for CRT in NYHA class II–IV, left ventricular ejection fraction <35%, QRS ≥ 120 ms were included. Tagged cine and late gadolinium enhancement (LGE) images were performed. Dyssynchrony was assessed with inTag toolbox and LGE was quantified using cutoff value at half of maximal signal in the scar. Cardiopulmonary exercise test, echocardiography and blood testing for NT-proBNP levels were done at baseline and 6 months after CRT. Results: 52 patients (age 60.3 ± 13 years) were included. 26 patients (50%) met response criteria. The ischaemic etiology of HF was more frequent (69% vs. 31%, p = 0.002), the percent of LGE was higher (7.7% [0–13.5%] vs. 19.0% (0–31.9%], p = 0.013), regional vector of circumferential strain variance (RVV) was lower (0.27 ± 0.08 vs. 0.34 ± 0.09, p = 0.009) and uniformity of radial strain was higher (0.72 ± 0.25 vs. 0.56 ± 0.29, p = 0.046) in non-responders vs. responders. Multivariate logistic regression showed that RVV predicted response to CRT (HR 2.3, 95% CI 1.02–5.02, p = 0.0430) independently of LGE and the etiology of heart failure. In the subgroup of patients with ischaemic HF the extend of transmural scar within myocardium was higher in non-responders vs. responders (26.3% vs. 15.0% respectively, p = 0.01) and was a predictor of response to CRT in univariable analysis (HR 0.87, 95% CI 0.77–0.98, p = 0.025) providing the sensitivity of 76% and specificity of 75% at the cutoff point of 18% in the prediction of poor response to CRT. In patients with non-ischaemic HF QRS was wider (162 ms vs. 140 ms, p = 0.04), regional vector of strain variance (RVV) was higher (0.39 vs. 0.25, p = 0.002) and uniformity of radial

Real-time prediction of extreme ambient carbon monoxide concentrations due to vehicular exhaust emissions using univariate linear stochastic models

International Nuclear Information System (INIS)

Sharma, P.; Khare, M.

2000-01-01

Historical data of the time-series of carbon monoxide (CO) concentration was analysed using Box-Jenkins modelling approach. Univariate Linear Stochastic Models (ULSMs) were developed to examine the degree of prediction possible for situations where only a limited data set, restricted only to the past record of pollutant data are available. The developed models can be used to provide short-term, real-time forecast of extreme CO concentrations for an Air Quality Control Region (AQCR), comprising a major traffic intersection in a Central Business District of Delhi City, India. (author)

Predictors of premature termination from psychotherapy for anorexia nervosa: Low treatment credibility, early therapy alliance, and self-transcendence.

Science.gov (United States)

Jordan, Jennifer; McIntosh, Virginia V W; Carter, Frances A; Joyce, Peter R; Frampton, Christopher M A; Luty, Suzanne E; McKenzie, Janice M; Carter, Janet D; Bulik, Cynthia M

2017-08-01

Failure to complete treatment for anorexia nervosa (AN) is- common, clinically concerning but difficult to predict. This study examines whether therapy-related factors (patient-rated pretreatment credibility and early therapeutic alliance) predict subsequent premature termination of treatment (PTT) alongside self-transcendence (a previously identified clinical predictor) in women with AN. 56 women aged 17-40 years participating in a randomized outpatient psychotherapy trial for AN. Treatment completion was defined as attending 15/20 planned sessions. Measures were the Treatment Credibility, Temperament and Character Inventory, Vanderbilt Therapeutic Alliance Scale and the Vanderbilt Psychotherapy Process Scale. Statistics were univariate tests, correlations, and logistic regression. Treatment credibility and certain early patient and therapist alliance/process subscales predicted PTT. Lower self-transcendence and lower early process accounted for 33% of the variance in predicting PTT. Routine assessment of treatment credibility and early process (comprehensively assessed from multiple perspectives) may help clinicians reduce PTT thereby enhancing treatment outcomes. © 2017 Wiley Periodicals, Inc.

Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients

Energy Technology Data Exchange (ETDEWEB)

Ulyte, Agne [Vilnius University, Faculty of Medicine, Vilnius (Lithuania); Katsaros, Vasileios K. [General Anticancer and Oncological Hospital ' ' St. Savvas' ' , Department of Advanced Imaging Modalities - CT and MRI, Athens (Greece); University of Athens, Department of Neurosurgery, Evangelismos Hospital, Athens (Greece); Liouta, Evangelia; Stranjalis, Georgios [University of Athens, Department of Neurosurgery, Evangelismos Hospital, Athens (Greece); Boskos, Christos [University of Athens, Department of Neurosurgery, Evangelismos Hospital, Athens (Greece); General Anticancer and Oncological Hospital ' ' St. Savvas' ' , Department of Radiation Oncology, Athens (Greece); Papanikolaou, Nickolas [Champalimaud Foundation, Department of Radiology, Centre for the Unknown, Lisbon (Portugal); Usinskiene, Jurgita [National Cancer Institute, Vilnius (Lithuania); Affidea Lietuva, Vilnius (Lithuania); Bisdas, Sotirios [University College London Hospitals, Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London (United Kingdom)

2016-12-15

The prognostic value of the dynamic contrast-enhanced (DCE) MRI perfusion and its histogram analysis-derived metrics is not well established for high-grade glioma (HGG) patients. The aim of this prospective study was to investigate DCE perfusion transfer coefficient (K{sup trans}), vascular plasma volume fraction (v{sub p}), extracellular volume fraction (v{sub e}), reverse transfer constant (k{sub ep}), and initial area under gadolinium concentration time curve (IAUGC) as predictors of progression-free (PFS) and overall survival (OS) in HGG patients. Sixty-nine patients with suspected anaplastic astrocytoma or glioblastoma underwent preoperative DCE-MRI scans. DCE perfusion whole tumor region histogram parameters, clinical details, and PFS and OS data were obtained. Univariate, multivariate, and Kaplan-Meier survival analyses were conducted. Receiver operating characteristic (ROC) curve analysis was employed to identify perfusion parameters with the best differentiation performance. On univariate analysis, v{sub e} and skewness of v{sub p} had significant negative impacts, while k{sub ep} had significant positive impact on OS (P < 0.05). v{sub e} was also a negative predictor of PFS (P < 0.05). Patients with lower v{sub e} and IAUGC had longer median PFS and OS on Kaplan-Meier analysis (P < 0.05). K{sup trans} and v{sub e} could also differentiate grade III from IV gliomas (area under the curve 0.819 and 0.791, respectively). High v{sub e} is a consistent predictor of worse PFS and OS in HGG glioma patients. v{sub p} skewness and k{sub ep} are also predictive for OS. K{sup trans} and v{sub e} demonstrated the best diagnostic performance for differentiating grade III from IV gliomas. (orig.)

Predictors of Readmission after Inpatient Plastic Surgery

Directory of Open Access Journals (Sweden)

Umang Jain

2014-03-01

Full Text Available Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020, previous percutaneous coronary intervention (PCI (OR, 2.69; CI, 1.21-5.97; P=0.015, hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001, bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046, American Society of Anesthesiologists (ASA class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004, and obesity (body mass index ≥30 (OR, 1.43; CI, 1.09-1.88, P=0.011 to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.

Persistent elevation of postoperative neutrophil-to-lymphocyte ratio: A better predictor of survival in gastric cancer than elevated preoperative neutrophil-to-lymphocyte ratio.

Science.gov (United States)

Min, Kyueng-Whan; Kwon, Mi Jung; Kim, Dong-Hoon; Son, Byoung Kwan; Kim, Eun-Kyung; Oh, Young Ha; Wi, Young Chan

2017-10-25

Postoperative neutrophil-to-lymphocyte ratio change (NLRc) reflects the dynamic change of balance between host inflammatory response and immune response after treatment. In gastric cancer, an elevated initial NLR (iNLR) is reported to be a prognostic predictor, but the clinical application of the NLRc remains unclear. The NLRc was assessed in 734 patients undergoing total/subtotal gastrectomy and endoscopic submucosal dissection for gastric adenocarcinoma. The iNLR and NLRc were recorded within 10 days of the first diagnosis and 3-6 months after surgery, respectively. Using receiver operating characteristic (ROC) curves, we investigated the relationship between NLRc or iNLR and patient survival. The analysis revealed a higher predictive power for correlating patient survival with the NLRc compared with iNLR. NLRc was defined as negative (lower than iNLR) and positive (higher than iNLR). A positive NLRc was frequently observed in patients with advanced AJCC stage, local recurrence, distant metastasis, perineural invasion, and adjuvant chemotherapy (all p < 0.05). Univariate and multivariate analyses revealed a significant relationship between patient survival and NLRc (all p < 0.05) but no association between survival and iNLR. The NLRc could be a better indicator than iNLR for predicting survival in patients with gastric cancer.

CHF predictor derived from a 3D thermal-hydraulic code and an advanced statistical method

International Nuclear Information System (INIS)

Banner, D.; Aubry, S.

2004-01-01

A rod bundle CHF predictor has been determined by using a 3D code (THYC) to compute local thermal-hydraulic conditions at the boiling crisis location. These local parameters have been correlated to the critical heat flux by using an advanced statistical method based on spline functions. The main characteristics of the predictor are presented in conjunction with a detailed analysis of predictions (P/M ratio) in order to prove that the usual safety methodology can be applied with such a predictor. A thermal-hydraulic design criterion is obtained (1.13) and the predictor is compared with the WRB-1 correlation. (author)

Perioperative Blood Transfusion as a Significant Predictor of Biochemical Recurrence and Survival after Radical Prostatectomy in Patients with Prostate Cancer.

Directory of Open Access Journals (Sweden)

Jung Kwon Kim

Full Text Available There have been conflicting reports regarding the association of perioperative blood transfusion (PBT with oncologic outcomes including recurrence rates and survival outcomes in prostate cancer. We aimed to evaluate whether perioperative blood transfusion (PBT affects biochemical recurrence-free survival (BRFS, cancer-specific survival (CSS, and overall survival (OS following radical prostatectomy (RP for patients with prostate cancer.A total of 2,713 patients who underwent RP for clinically localized prostate cancer between 1993 and 2014 were retrospectively analyzed. We performed a comparative analysis based on receipt of transfusion (PBT group vs. no-PBT group and transfusion type (autologous PBT vs. allogeneic PBT. Univariate and multivariate Cox-proportional hazard regression analysis were performed to evaluate variables associated with BRFS, CSS, and OS. The Kaplan-Meier method was used to calculate survival estimates for BRFS, CSS, and OS, and log-rank test was used to conduct comparisons between the groups.The number of patients who received PBT was 440 (16.5%. Among these patients, 350 (79.5% received allogeneic transfusion and the other 90 (20.5% received autologous transfusion. In a multivariate analysis, allogeneic PBT was found to be statistically significant predictors of BRFS, CSS, and OS; conversely, autologous PBT was not. The Kaplan-Meier survival analysis showed significantly decreased 5-year BRFS (79.2% vs. 70.1%, log-rank, p = 0.001, CSS (98.5% vs. 96.7%, log-rank, p = 0.012, and OS (95.5% vs. 90.6%, log-rank, p < 0.001 in the allogeneic PBT group compared to the no-allogeneic PBT group. In the autologous PBT group, however, none of these were statistically significant compared to the no-autologous PBT group.We found that allogeneic PBT was significantly associated with decreased BRFS, CSS, and OS. This provides further support for the immunomodulation hypothesis for allogeneic PBT.

Exploring predictors and consequences of embitterment in the workplace.

Science.gov (United States)

Michailidis, Evie; Cropley, Mark

2017-09-01

Research on the feeling of embitterment at work is still in its infancy. The present study investigated the predictors and consequences of the feeling of embitterment at work. It was hypothesised that organisational injustice as well as over-controlling supervision would predict embitterment at work and that embitterment would be associated with work-related rumination. Three hundred and thirty-seven employees completed an online survey. Regression analysis revealed that procedural injustice and over-controlling supervision were significant predictors of embitterment and that embitterment contributed significantly to the prediction of increased affective rumination and reduction in detachment. Mediation analysis indicated that embitterment at work was a significant mechanism through which organisational injustice and over-controlling supervision exerted their effect on affective rumination, which is indicative of insufficient recovery from work. Findings suggest that breaches in organisational justice can generate feelings of embitterment at work, which in turn can interfere with employees' ability to adequately recover from work. Practitioner Summary: The purpose of this study was to investigate predictors and consequences of embitterment in the workplace using an online questionnaire. Findings suggest that perceived unfairness, because of structural and organisational aspects, predicts feelings of embitterment and that feeling embittered at work can prevent employees from adequately recovering from work.

MLH1 as a direct target of MiR-155 and a potential predictor of favorable prognosis in pancreatic cancer.

Science.gov (United States)

Liu, Wen-Jing; Zhao, Yu-Pei; Zhang, Tai-Ping; Zhou, Li; Cui, Quan-Cai; Zhou, Wei-Xun; You, Lei; Chen, Ge; Shu, Hong

2013-08-01

The regulation of Mut L homologue 1 (MLH1) expression by microRNA (miR)-155 and its prognostic significance in pancreatic cancer (PC) remain to be elucidated. This study aimed to address the issues. MiR-155 mimics and inhibitor were transfected to PC cell lines, Panc-1 and Capan-1. Expression of MLH1 was subsequently evaluated. Then, luciferase activity was detected after miR-155 mimics and pRL-TK plasmids containing wild-type and mutant 3'UTRs of MLH1 mRNA were co-transfected. Finally, immunohistochemical staining for MLH1 was performed in PC samples. Transfection of miR-155 mimics and inhibitor led to reversely altered protein expressions of miR-155 and MLH1, whereas the corresponding mRNA expressions were similar. A significant decrease in luciferase activity in the cells transfected with the wild-type pRL-TK plasmid was shown in contrast to those transfected with the mutant one. In addition, MLH1 was less expressed in tumor than in para-tumor tissues of PC. Extensive MLH1 expression was significantly associated with favorable differentiation and less lymph node metastasis. MLH1 expression was found to be a prognosticator in univariate analysis, and being of marginally significant impact in multivariate test. MLH1 might serve as a direct target of miR-155 and a potential prognosis predictor in PC.

Predictors and consequences of job insecurity: Comparison of Slovakia and Estonia

Directory of Open Access Journals (Sweden)

Lucia Ištoňová

2016-03-01

Full Text Available Job insecurity is a significant current social issue in many European countries. Slovakia and Estonia significantly differ in the prevalence of job insecurity. The main aim of the present study was to compare Slovakia and Estonia in regard to job insecurity by looking at socio-demographic, job and organisational predictors and individual and social consequences based on ESS round five data. The secondary aim was to examine relationships between job insecurity and its predictors as well as job insecurity and its consequences. The analysis covered employed people with unlimited or limited contracts, working 40-50 hours per week, within the age range of 20-60. The results suggested significant differences in the predictors of job insecurity for Slovakia and Estonia. However, the individual, social and economic consequences of job insecurity were similar for both countries. This study contributes to an enhanced understanding of job insecurity predictors and consequences in the European region.

Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis

NARCIS (Netherlands)

Langebeek, Nienke; Gisolf, Elizabeth H.; Reiss, Peter; Vervoort, Sigrid C.; Hafsteinsdóttir, Thóra B.; Richter, Clemens; Sprangers, Mirjam A. G.; Nieuwkerk, Pythia T.

2014-01-01

Adherence to combination antiretroviral therapy (ART) is a key predictor of the success of human immunodeficiency virus (HIV) treatment, and is potentially amenable to intervention. Insight into predictors or correlates of non-adherence to ART may help guide targets for the development of

Clinical and Biological Predictors of Plasma Levels of Soluble RAGE in Critically Ill Patients: Secondary Analysis of a Prospective Multicenter Observational Study

Directory of Open Access Journals (Sweden)

Thibaut Pranal

2018-01-01

Full Text Available Rationale. Although soluble forms of the receptor for advanced glycation end products (RAGE have been recently proposed as biomarkers in multiple acute or chronic diseases, few studies evaluated the influence of usual clinical and biological parameters, or of patient characteristics and comorbidities, on circulating levels of soluble RAGE in the intensive care unit (ICU setting. Objectives. To determine, among clinical and biological parameters that are usually recorded upon ICU admission, which variables, if any, could be associated with plasma levels of soluble RAGE. Methods. Data for this ancillary study were prospectively obtained from adult patients with at least one ARDS risk factor upon ICU admission enrolled in a large multicenter observational study. At ICU admission, plasma levels of total soluble RAGE (sRAGE and endogenous secretory (esRAGE were measured by duplicate ELISA and baseline patient characteristics, comorbidities, and usual clinical and biological indices were recorded. After univariate analyses, significant variables were used in multivariate, multidimensional analyses. Measurements and Main Results. 294 patients were included in this ancillary study, among whom 62% were admitted for medical reasons, including septic shock (11%, coma (11%, and pneumonia (6%. Although some variables were associated with plasma levels of RAGE soluble forms in univariate analysis, multidimensional analyses showed no significant association between admission parameters and baseline plasma sRAGE or esRAGE. Conclusions. We found no obvious association between circulating levels of soluble RAGE and clinical and biological indices that are usually recorded upon ICU admission. This trial is registered with NCT02070536.

Outcome of cardiopulmonary resuscitation - predictors of survival

International Nuclear Information System (INIS)

Ishtiaq, O.; Iqbal, M.; Zubair, M.; Qayyum, R.; Adil, M.

2008-01-01

To assess the outcomes of patients undergoing cardiopulmonary resuscitation (CPR). Data were collected retrospectively of all adult patients who underwent CPR. Clinical outcomes of interest were survival at the end of CPR and survival at discharge from hospital. Factors associated with survival were evaluated using logistic regression analysis. Of the 159 patients included, 55 (35%) were alive at the end of CPR and 17 (11%) were discharged alive from the hospital. At the end of CPR, univariate logistic regression analysis found the following factors associated with survival: cardiac arrest within hospital as compared to outside the hospital (odds ratio = 2.8, 95% CI = 1.27-6.20, p-value = 0.01), both cardiac and pulmonary arrest as compared to either cardiac or pulmonary arrest (odds ratio = 0.37, 95% CI = 0.19- 0.73, p-value = 0.004), asystole as cardiac rhythm at presentation (odds ratio = 0.47, 95% CI = 0.24-0.93, p-value = 0.03), and total atropine dose given during CPR (odds ratio = 0.78, 95% CI = 0.62-0.97, p-value = 0.02). In multivariate logistic regression, cardiac arrest within hospital (odds ratio = 2.52, 95% CI = 1.06-5.99, p-value = 0.04) and both cardiac and pulmonary arrest as compared to cardiac or pulmonary arrest (odds ratio = 0.44, 95% CI = 0.21-0.91, p-value = 0.03) were associated with survival at the end of CPR. At the time of discharge from hospital, univariate logistic regression analysis found following factors that were associated with survival: cardiac arrest within hospital (odds ratio = 8.4, 95% CI = 1.09-65.64, p-value = 0.04), duration of CPR (odds ratio = 0.91, 95% CI = 0.85-0.96, p-value = 0.001), and total atropine dose given during CPR (odds ratio = 0.68, 95% CI = 0.47-0.99, p-value = 0.05). In multivariate logistic regression analysis cardiac arrest within hospital (odds ratio 8.69, 95% CI = 1.01-74.6, p-value = 0.05) and duration of CPR (odds ratio 0.92, 95% CI = 0.87-0.98, p-value = 0.01) were associated with survival at

Measures for Predictors of Innovation Adoption

Science.gov (United States)

Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.

2014-01-01

Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175

Exploring the Predictors of Organizational Preparedness for Natural Disasters.

Science.gov (United States)

Sadiq, Abdul-Akeem; Graham, John D

2016-05-01

There is an extensive body of research on the determinants of disaster preparedness at the individual and household levels. The same cannot be said for the organizational level. Hence, the purpose of this study is to shed light on the predictors of organizational preparedness for natural disasters. Since leaders of organizations have an incentive to overstate their level of preparedness and because surveys of organizational leaders suffer from selection bias and low response rates, we take the novel approach of interviewing employees about the organizations that employ them. Using an online survey, we collected information from a national sample of 2,008 U.S. employees and estimated the predictors of preparedness at the organizational level. We find, among other results, that organization size (facility level) is a consistent predictor of preparedness at the organizational level. We conclude with policy recommendations and outline an agenda for future research on organizational preparedness for natural disasters. © 2015 Society for Risk Analysis.

In situ calibration using univariate analyses based on the onboard ChemCam targets: first prediction of Martian rock and soil compositions

Energy Technology Data Exchange (ETDEWEB)

Fabre, C. [GeoRessources lab, Université de Lorraine, Nancy (France); Cousin, A.; Wiens, R.C. [Los Alamos National Laboratory, Los Alamos, NM (United States); Ollila, A. [University of NM, Albuquerque (United States); Gasnault, O.; Maurice, S. [IRAP, Toulouse (France); Sautter, V. [Museum National d' Histoire Naturelle, Paris (France); Forni, O.; Lasue, J. [IRAP, Toulouse (France); Tokar, R.; Vaniman, D. [Planetary Science Institute, Tucson, AZ (United States); Melikechi, N. [Delaware State University (United States)

2014-09-01

Curiosity rover landed on August 6th, 2012 in Gale Crater, Mars and it possesses unique analytical capabilities to investigate the chemistry and mineralogy of the Martian soil. In particular, the LIBS technique is being used for the first time on another planet with the ChemCam instrument, and more than 75,000 spectra have been returned in the first year on Mars. Curiosity carries body-mounted calibration targets specially designed for the ChemCam instrument, some of which are homgeneous glasses and others that are fine-grained glass-ceramics. We present direct calibrations, using these onboard standards to infer elements and element ratios by ratioing relative peak areas. As the laser spot size is around 300 μm, the LIBS technique provides measurements of the silicate glass compositions representing homogeneous material and measurements of the ceramic targets that are comparable to fine-grained rock or soil. The laser energy and the auto-focus are controlled for all sequences used for calibration. The univariate calibration curves present relatively to very good correlation coefficients with low RSDs for major and ratio calibrations. Trace element calibration curves (Li, Sr, and Mn), down to several ppm, can be used as a rapid tool to draw attention to remarkable rocks and soils along the traverse. First comparisons to alpha-particle X-ray spectroscopy (APXS) data, on selected targets, show good agreement for most elements and for Mg# and Al/Si estimates. SiO{sub 2} estimates using univariate cannot be yet used. Na{sub 2}O and K{sub 2}O estimates are relevant for high alkali contents, but probably under estimated due to the CCCT initial compositions. Very good results for CaO and Al{sub 2}O{sub 3} estimates and satisfactory results for FeO are obtained. - Highlights: • In situ LIBS univariate calibrations are done using the Curiosity onboard standards. • Major and minor element contents can be rapidly obtained. • Trace element contents can be used as a

Monitoring endemic livestock diseases using laboratory diagnostic data: A simulation study to evaluate the performance of univariate process monitoring control algorithms.

Science.gov (United States)

Lopes Antunes, Ana Carolina; Dórea, Fernanda; Halasa, Tariq; Toft, Nils

2016-05-01

Surveillance systems are critical for accurate, timely monitoring and effective disease control. In this study, we investigated the performance of univariate process monitoring control algorithms in detecting changes in seroprevalence for endemic diseases. We also assessed the effect of sample size (number of sentinel herds tested in the surveillance system) on the performance of the algorithms. Three univariate process monitoring control algorithms were compared: Shewart p Chart(1) (PSHEW), Cumulative Sum(2) (CUSUM) and Exponentially Weighted Moving Average(3) (EWMA). Increases in seroprevalence were simulated from 0.10 to 0.15 and 0.20 over 4, 8, 24, 52 and 104 weeks. Each epidemic scenario was run with 2000 iterations. The cumulative sensitivity(4) (CumSe) and timeliness were used to evaluate the algorithms' performance with a 1% false alarm rate. Using these performance evaluation criteria, it was possible to assess the accuracy and timeliness of the surveillance system working in real-time. The results showed that EWMA and PSHEW had higher CumSe (when compared with the CUSUM) from week 1 until the end of the period for all simulated scenarios. Changes in seroprevalence from 0.10 to 0.20 were more easily detected (higher CumSe) than changes from 0.10 to 0.15 for all three algorithms. Similar results were found with EWMA and PSHEW, based on the median time to detection. Changes in the seroprevalence were detected later with CUSUM, compared to EWMA and PSHEW for the different scenarios. Increasing the sample size 10 fold halved the time to detection (CumSe=1), whereas increasing the sample size 100 fold reduced the time to detection by a factor of 6. This study investigated the performance of three univariate process monitoring control algorithms in monitoring endemic diseases. It was shown that automated systems based on these detection methods identified changes in seroprevalence at different times. Increasing the number of tested herds would lead to faster

The occipitofrontal circumference: reliable prediction of the intracranial volume in children with syndromic and complex craniosynostosis.

Science.gov (United States)

Rijken, Bianca Francisca Maria; den Ottelander, Bianca Kelly; van Veelen, Marie-Lise Charlotte; Lequin, Maarten Hans; Mathijssen, Irene Margreet Jacqueline

2015-05-01

OBJECT Patients with syndromic and complex craniosynostosis are characterized by the premature fusion of one or more cranial sutures. These patients are at risk for developing elevated intracranial pressure (ICP). There are several factors known to contribute to elevated ICP in these patients, including craniocerebral disproportion, hydrocephalus, venous hypertension, and obstructive sleep apnea. However, the causal mechanism is unknown, and patients develop elevated ICP even after skull surgery. In clinical practice, the occipitofrontal circumference (OFC) is used as an indirect measure for intracranial volume (ICV), to evaluate skull growth. However, it remains unknown whether OFC is a reliable predictor of ICV in patients with a severe skull deformity. Therefore, in this study the authors evaluated the relation between ICV and OFC. METHODS Eighty-four CT scans obtained in 69 patients with syndromic and complex craniosynostosis treated at the Erasmus University Medical Center-Sophia Children's Hospital were included. The ICV was calculated based on CT scans by using autosegmentation with an HU threshold CT scans and OFC measurements were matched based on a maximum amount of the time that was allowed between these examinations, which was dependent on age. A Pearson correlation coefficient was calculated to evaluate the correlations between OFC and ICV. The predictive value of OFC, age, and sex on ICV was then further evaluated using a univariate linear mixed model. The significant factors in the univariate analysis were subsequently entered in a multivariate mixed model. RESULTS The correlations found between OFC and ICV were r = 0.908 for the total group (p < 0.001), r = 0.981 for Apert (p < 0.001), r = 0.867 for Crouzon-Pfeiffer (p < 0.001), r = 0.989 for Muenke (p < 0.001), r = 0.858 for Saethre- Chotzen syndrome (p = 0.001), and r = 0.917 for complex craniosynostosis (p < 0.001). Age and OFC were significant predictors of ICV in the univariate linear mixed

Predictive factors for achieving independent walking in children with Guillain-Barre syndrome.

Science.gov (United States)

Barzegar, Mohammad; Toopchizadeh, Vahideh; Maher, Mohammad H K; Sadeghi, Paria; Jahanjoo, Fatemeh; Pishgahi, Alireza

2017-08-01

BackgroundTo determine the predictors of achieving independent walking at 2 and 6 months after onset of weakness in children with Guillain-Barre syndrome (GBS).MethodsChildren with GBS admitted to the Tabriz Children's Hospital were studied prospectively. All patients had frequent clinical evaluations until achieving independent walking. Unaided walking at 2 and 6 months and factors influencing these outcomes were determined using both univariate and multiple analyses.ResultsBetween 2003 and 2014, 324 children (mean age: 5.3±3.66 years) were admitted. The mean duration to independent walking was 2.97±3.02 months; 90.5% of patients could walk independently at 6 months. In the univariate analysis, disability score of >3 (P=0.03), autonomic nerve involvement (P=0.003), cranial nerve involvement (P=0.008), and absent compound muscle action potential (CMAP; P=0.048) were found to be significantly associated with poor walking outcome at 6 months. In the multivariate analysis, cranial nerve involvement (P=0.008) and absence of CMAP (P=0.022) were independently associated with poor functional outcome.ConclusionDisability score >3, cranial and autonomic nerve involvement, and absence of CMAP were predictors of independent walking in childhood GBS in this study; early rehabilitation program may prevent further impairments secondary to immobility in these patients.

Determinants of outcomes in patients with simple gastroschisis.

Science.gov (United States)

Youssef, Fouad; Laberge, Jean-Martin; Puligandla, Pramod; Emil, Sherif

2017-05-01

We analyzed the determinants of outcomes in simple gastroschisis (GS) not complicated by intestinal atresia, perforation, or necrosis. All simple GS patients enrolled in a national prospective registry from 2005 to 2013 were studied. Patients below the median for total parenteral nutrition (TPN) duration (26days) and hospital stay (34days) were compared to those above. Univariate and multivariate logistic and linear regression analyses were employed using maternal, patient, postnatal, and treatment variables. Of 700 patients with simple GS, representing 76.8% of all GS patients, 690 (98.6%) survived. TPN was used in 352 (51.6%) and 330 (48.4%) patients for ≤26 and >26days, respectively. Hospital stay for 356 (51.9%) and 330 (48.1%) infants was ≤34 and >34days, respectively. Univariate analysis revealed significant differences in several patient, treatment, and postnatal factors. On multivariate analysis, prenatal sonographic bowel dilation, older age at closure, necrotizing enterocolitis, longer mechanical ventilation, and central-line associated blood stream infection (CLABSI) were independently associated with longer TPN duration and hospital stay, with CLABSI being the strongest predictor. Prenatal bowel dilation is associated with increased morbidity in simple GS. CLABSI is the strongest predictor of outcomes. Bowel matting is not an independent risk factor. 2c. Copyright © 2017 Elsevier Inc. All rights reserved.

11C-methionine PET as a prognostic marker in patients with glioma: comparison with18F-FDG PET

International Nuclear Information System (INIS)

Kim, Sungeun; Chung, June-Key; Jeong, Jae Min; Im, So-Hyang; Kim, Dong Gyu; Jung, Hee Won; Lee, Dong Soo; Lee, Myung Chul

2005-01-01

The purpose of this study was to compare the prognostic value of 11 C-methionine (MET) and 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) in glioma patients. The study population comprised 47 patients with gliomas (19 glioblastoma, 28 others). Pretreatment magnetic resonance imaging, MET PET and FDG PET were performed within a time interval of 2 weeks in all patients. The uptake ratio and standard uptake values were calculated. Univariate and multivariate analyses were done to determine significant prognostic factors. Ki-67 index was measured by immunohistochemical staining, and compared with FDG and MET uptake in glioma. Among the several clinicopathological prognostic factors, tumour pathology (glioblastoma or not), age (≥60 or <60 years), Karnofsky performance status (KPS) (≥70 or <70) and MET PET (higher uptake or not compared with normal cortex) were found to be significant predictors by univariate analysis. In multivariate analysis, tumour pathology, KPS and MET PET were identified as significant independent predictors. The Ki-67 proliferation index was significantly correlated with MET uptake (r=0.64), but not with FDG uptake. Compared with FDG PET in glioma, MET PET was an independent significant prognostic factor and MET uptake was correlated with cellular proliferation. MET PET may be a useful biological prognostic marker in glioma patients. (orig.)

Prevalence and predictors of abandonment of therapy among children with cancer in El Salvador.

Science.gov (United States)

Bonilla, Miguel; Rossell, Nuria; Salaverria, Carmen; Gupta, Sumit; Barr, Ronald; Sala, Alessandra; Metzger, Monika L; Sung, Lillian

2009-11-01

Abandonment of therapy is one of the most common causes of treatment failure among children with cancer in low-income countries. Our objectives were to describe the prevalence and predictors of abandonment among such children with cancer in El Salvador. We analyzed data on patients younger than 16 years, diagnosed with any malignancy between January 2001 and December 2003 at the Benjamin Bloom National Children's Hospital, San Salvador. Among 612 patients, 353 were male (58%); the median age at diagnosis was 5.1 years; 59% of patients were diagnosed with leukemia/lymphoma, 28% with solid tumors and 13% with brain tumors. The prevalence of abandonment was 13%. Median time to abandonment was 2.0 (range 0-36) months. In univariate analyses, paternal illiteracy [odds ratio (OR) 3.8, 95% confidence interval (CI) 2.0-7.2; p = 0.001]; maternal illiteracy (OR = 5.1, 95% CI 2.5-10; p El Salvador, despite the provision of free treatment, socioeconomic variables significantly predict increased risk of abandonment of therapy. Understanding the pathways through which socioeconomic status affects abandonment may allow the design of effective interventions. (c) 2009 UICC.

Predictors of Percutaneous Catheter Drainage (PCD) after Abdominal Paracentesis Drainage (APD) in Patients with Moderately Severe or Severe Acute Pancreatitis along with Fluid Collections

Science.gov (United States)

Liu, Wei-hui; Wang, Tao; Yan, Hong-tao; Chen, Tao; Xu, Chuan; Ye, Ping; Zhang, Ning; Liu, Zheng-cai; Tang, Li-jun

2015-01-01

Aims Although we previously demonstrated abdominal paracentesis drainage (APD) preceding percutaneous catheter drainage (PCD) as the central step for treating patients with moderately severe (MSAP) or severe acute pancreatitis (SAP), the predictors leading to PCD after APD have not been studied. Methods Consecutive patients with MSAP or SAP were recruited between June 2011 and June 2013. As a step-up approach, all patients initially received medical management, later underwent ultrasound-guided APD before PCD, if necessary, followed by endoscopic necrosectomy through the path formed by PCD. APD primarily targeted fluid in the abdominal or pelvic cavities, whereas PCD aimed at (peri)pancreatic fluid. Results Of the 92 enrolled patients, 40 were managed with APD alone and 52 received PCD after APD (14 required necrosectomy after initial PCD). The overall mortality was 6.5%. Univariate analysis showed that among the 20 selected parameters, 13 factors significantly affected PCD intervention after APD. Multivariate analysis revealed that infected (peri)pancreatic collections (P = -0.001), maximum extent of necrosis of more than 30% of the pancreas (P = -0.024), size of the largest necrotic peri(pancreatic) collection (P = -0.007), and reduction of (peri)pancreatic fluid collections by collections, a largest necrotic peri(pancreatic) collection of more than 100 ml, and reduction of (peri)pancreatic fluid collections by <50% after APD could effectively predict the need for PCD in the early course of the disease. PMID:25659143

Can P wave wavelet analysis predict atrial fibrillation after coronary artery bypass grafting?

Science.gov (United States)

Vassilikos, Vassilios; Dakos, George; Chouvarda, Ioanna; Karagounis, Labros; Karvounis, Haralambos; Maglaveras, Nikolaos; Mochlas, Sotirios; Spanos, Panagiotis; Louridas, George

2003-01-01

The purpose of this study was the evaluation of Morlet wavelet analysis of the P wave as a means of predicting the development of atrial fibrillation (AF) in patients who undergo coronary artery bypass grafting (CABG). The P wave was analyzed using the Morlet wavelet in 50 patients who underwent successful CABG. Group A consisted of 17 patients, 12 men and 5 women, of mean age 66.9 +/- 5.9 years, who developed AF postoperatively. Group B consisted of 33 patients, 29 men and 4 women, mean age 62.4 +/- 7.8 years, who remained arrhythmid-free. Using custom-designed software, P wave duration and wavelet parameters expressing the mean and maximum energy of the P wave were calculated from 3-channel digital recordings derived from orthogonal ECG leads (X, Y, and Z), and the vector magnitude (VM) was determined in each of 3 frequency bands (200-160 Hz, 150-100 Hz and 90-50 Hz). Univariate logistic-regression analysis identified a history of hypertension, the mean and maximum energies in all frequency bands along the Z axis, the mean and maximum energies (expressed by the VM) in the 200-160 Hz frequency band, and the mean energy in the 150-100 Hz frequency band along the Y axis as predictors for post-CABG AF. Multivariate analysis identified hypertension, ejection fraction, and the maximum energies in the 90-50 Hz frequency band along the Z and composite-vector axes as independent predictors. This multivariate model had a sensitivity of 91% and a specificity of 65%. We conclude that the Morlet wavelet analysis of the P wave is a very sensitive method of identifying patients who are likely to develop AF after CABG. The occurrence of post-CABG AF can be explained by a different activation pattern along the Z axis.

Frequency and predictors of stroke after acute myocardial infarction: specific aspects of in-hospital and postdischarge events.

Science.gov (United States)

Hachet, Olivier; Guenancia, Charles; Stamboul, Karim; Daubail, Benoit; Richard, Carole; Béjot, Yannick; Yameogo, Valentin; Gudjoncik, Aurélie; Cottin, Yves; Giroud, Maurice; Lorgis, Luc

2014-12-01

Stroke is a serious complication after acute myocardial infarction (AMI) and is closely associated with decreased survival. This study aimed to investigate the frequency, characteristics, and factors associated with in-hospital and postdischarge stroke in patients with AMI. Eight thousand four hundred eighty-five consecutive patients admitted to a cardiology intensive care unit for AMI, between January 2001 and July 2010. Stroke/transient ischemic attack were collected during 1-year follow-up. One hundred twenty-three in-hospital strokes were recorded: 65 (52.8%) occurred on the first day after admission for AMI, and 108 (87%) within the first 5 days. One hundred six patients (86.2%-incidence rate 1.25%) experienced in-hospital ischemic stroke, and 14 patients (11.4%-incidence rate 0.16%) were diagnosed with an in-hospital hemorrhagic stroke. In-hospital ischemic stroke subtypes according to the Trial of Org 10 172 in Acute Stroke Treatment (TOAST) classification showed that only 2 types of stroke were identified more frequently. As expected, the leading subtype of in-hospital ischemic stroke was cardioembolic stroke (n=64, 60%), the second was stroke of undetermined pathogenesis (n=38, 36%). After multivariable backward regression analysis, female sex, previous transient ischemic attack (TIA)/stroke, new-onset atrial fibrillation, left ventricular ejection fraction (odds ratio per point of left ventricular ejection fraction), and C-reactive protein were independently associated with in-hospital ischemic stroke. When antiplatelet and anticoagulation therapy within the first 48 hours was introduced into the multivariable model, we found that implementing these treatments (≥1) was an independent protective factor of in-hospital stroke. In-hospital hemorrhagic stroke was dramatically increased (5-fold) when thrombolysis was prescribed as the reperfusion treatment. However, the different parenteral anticoagulants were not predictors of risk in univariable analysis

Money and Marriage: Couple's Choices and their Predictors

Directory of Open Access Journals (Sweden)

Lina Coelho

2016-01-01

Full Text Available The ways in which couples in South Europe manage their money has received little attention. This study uses regression analysis to evaluate the allocative systems of Portuguese couples and their predictors. To do this we use a sample of 3,331 households in Portugal with at least one heterosexual couple. Couples' allocative systems were classified based on Pahl's typology. The results confirm what has been found in previous studies regarding the prevalence of joint pooling management and the predictors of the different models for managing money. However, some particularities have been found: decisions taken in multi-generational familes favour partial joint pooling, as the distinctive characteristics of households in South Europe play a role in assigning intra-family resources.

Analysis of Skeletal Muscle Metrics as Predictors of Functional Task Performance

Science.gov (United States)

Ryder, Jeffrey W.; Buxton, Roxanne E.; Redd, Elizabeth; Scott-Pandorf, Melissa; Hackney, Kyle J.; Fiedler, James; Ploutz-Snyder, Robert J.; Bloomberg, Jacob J.; Ploutz-Snyder, Lori L.

2010-01-01

PURPOSE: The ability to predict task performance using physiological performance metrics is vital to ensure that astronauts can execute their jobs safely and effectively. This investigation used a weighted suit to evaluate task performance at various ratios of strength, power, and endurance to body weight. METHODS: Twenty subjects completed muscle performance tests and functional tasks representative of those that would be required of astronauts during planetary exploration (see table for specific tests/tasks). Subjects performed functional tasks while wearing a weighted suit with additional loads ranging from 0-120% of initial body weight. Performance metrics were time to completion for all tasks except hatch opening, which consisted of total work. Task performance metrics were plotted against muscle metrics normalized to "body weight" (subject weight + external load; BW) for each trial. Fractional polynomial regression was used to model the relationship between muscle and task performance. CONCLUSION: LPMIF/BW is the best predictor of performance for predominantly lower-body tasks that are ambulatory and of short duration. LPMIF/BW is a very practical predictor of occupational task performance as it is quick and relatively safe to perform. Accordingly, bench press work best predicts hatch-opening work performance.

Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble

Directory of Open Access Journals (Sweden)

Constantin Junk

2015-04-01

Full Text Available Unlike deterministic forecasts, probabilistic predictions provide estimates of uncertainty, which is an additional value for decision-making. Previous studies have proposed the analog ensemble (AnEn, which is a technique to generate uncertainty information from a purely deterministic forecast. The objective of this study is to improve the AnEn performance for wind power forecasts by developing static and dynamic weighting strategies, which optimize the predictor combination with a brute-force continuous ranked probability score (CRPS minimization and a principal component analysis (PCA of the predictors. Predictors are taken from the high-resolution deterministic forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF, including forecasts of wind at several heights, geopotential height, pressure, and temperature, among others. The weighting strategies are compared at five wind farms in Europe and the U.S. situated in regions with different terrain complexity, both on and offshore, and significantly improve the deterministic and probabilistic AnEn forecast performance compared to the AnEn with 10‑m wind speed and direction as predictors and compared to PCA-based approaches. The AnEn methodology also provides reliable estimation of the forecast uncertainty. The optimized predictor combinations are strongly dependent on terrain complexity, local wind regimes, and atmospheric stratification. Since the proposed predictor-weighting strategies can accomplish both the selection of relevant predictors as well as finding their optimal weights, the AnEn performance is improved by up to 20 % at on and offshore sites.

Facebook Addiction: Onset Predictors.

Science.gov (United States)

Biolcati, Roberta; Mancini, Giacomo; Pupi, Virginia; Mugheddu, Valeria

2018-05-23

Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed.

Androstenedione response to recombinant human FSH is the most valid predictor of the number of selected follicles in polycystic ovarian syndrome: (a case-control study).

Science.gov (United States)

Ozyurek, Eser Sefik; Yoldemir, Tevfik; Artar, Gokhan

2017-05-12

We aimed to test the hypothesis that the correlation of the changes in the blood Androstenedione (A 4 ) levels to the number of selected follicles during ovulation induction with low-dose recombinant human follicle stimulating hormone (rhFSH) is as strong as the correlation to changes in the blood Estradiol (E 2 ) levels in polycystic ovary syndrome (PCOS). Prospective Case-control study conducted from October 2014 to January 2016. 61 non-PCOS control (Group I) and 46 PCOS (Group II) patients treated with the chronic low-dose step up protocosl with rhFSH. A 4 , E 2 , progesterone blood levels and follicular growth were monitored.. Univariate and hierarchical multivariable analysis were performed for age, BMI, HOMA-IR, A 4 and E 2 (with the number of selected follicles as the dependent variable in both groups). ROC analysis was performed to define threshold values for the significant determinants of the number of selected follicles to predict cyle cancellations due to excessive ovarian response. The control group (Group I) was comprised of 61 cycles from a group of primary infertile non-PCOS patients, and the study group (Group II) of 46 cycles of PCOS patients. The analysis revealed that the strongest independent predictor of the total number of selected follicles in Group I was the E 2 (AUC) (B = 0.0006[0.0003-0.001]; P ovarian response and accurate titration of the rhFSH doses. The study was registered as a prospective case-control study in the ClinicalTrials.gov registry with the identifier NCT02329483 .

Difficult mask ventilation in general surgical population: observation of risk factors and predictors [v1; ref status: indexed, http://f1000r.es/47z

Directory of Open Access Journals (Sweden)

Davide Cattano

2014-08-01

Full Text Available Background: There are few predictors of difficult mask ventilation and a simple, objective, predictive system to identify patients at risk of difficult mask ventilation does not currently exist. We present a retrospective - subgroup analysis aimed at identifying predictive factors for difficult mask ventilation (DMV in patients undergoing pre-operative airway assessment before elective surgery at a major teaching hospital. Methods: Data for this retrospective analysis were derived from a database of airway assessments, management plans, and outcomes that were collected prospectively from August 2008 to May 2010 at a Level 1 academic trauma center. Patients were stratified into two groups based on the difficulty of mask ventilation and the cohorts were analyzed using univariate analysis and stepwise selection method. Results: A total of 1399 pre-operative assessments were completed with documentation stating that mask ventilation was attempted. Of those 1399, 124 (8.9% patients were found to be difficult to mask ventilate. A comparison of patients with and without difficult mask ventilation identified seven risk factors for DMV: age, body mass index (BMI, neck circumference, history of difficult intubation, presence of facial hair, perceived short neck and obstructive sleep apnea. Although seven risk factors were identified, no individual subject had more than four risk factors. Conclusion: The results of this study confirm that in a real world clinical setting, the incidence of DMV is not negligible and suggest the use of a simple bedside predictive score to improve the accuracy of DMV prediction, thereby improving patient safety. Further prospective studies to validate this score would be useful.

Diagnosis and prognosis of elderly patients with coronary artery disease. Assessment with dipyridamole thallium imaging

International Nuclear Information System (INIS)

Yamasaki, Fumiyasu; Takata, Jun; Seo, Hiromi; Chikamori, Taishiro; Yamada, Mitsutoshi; Yabe, Toshikazu; Doi, Yoshinori

1995-01-01

The diagnostic and prognostic value of dipyridamole perfusion scintigraphy was assessed in 147 patients with coronary artery disease aged 65 years and older. All patients underwent coronary angiography. Dipyridamole perfusion scintigraphy was performed safely in all patients. Multiple regression analysis showed that fixed defect and reversible defect were powerful detectors of coronary lesions, all patients with fixed disease and 94% of patients with only reversible defects had significant coronary lesion. Diffuse slow washout and ST depression were statistically significant for detection multivessel coronary lesions in patients with fixed disease, the sensitivity and specificity of diffuse slow washout and/or ST depression for detecting multivessel coronary lesions were 85% and 74%, respectively. Cox survival analysis identified diffuse slow washout as the best predictor of future cardiac events among the scintigraphic variables. Univariate analysis showed the best predictors were age (≥70), diffuse slow washout, and severe coronary lesions. Multivariate analysis showed diffuse slow washout and severe coronary lesions were the best predictors. Dividing the patients by age (≥70) showed that age and diffuse slow washout were good predictors. Scintigraphic and angiographic parameters found diffuse slow washout was the only good predictor. Dipyridamole perfusion scintigraphy is useful for the noninvasive detection of significant coronary artery disease in the elderly, and for predicting future cardiac events with similar predictability to angiographic findings. (S.Y.)

Predictors of intestinal pseudo-obstruction in systemic lupus erythematosus complicated by digestive manifestations: data from a Southern China lupus cohort.

Science.gov (United States)

Huang, Q; Lai, W; Yuan, C; Shen, S; Cui, D; Zhao, J; Lin, J; Ren, H; Yang, M

2016-03-01

To determine factors that may predict intestinal pseudo-obstruction (IpsO) in systemic lupus erythematosus (SLE) patients complicated by digestive manifestations. SLE patients with digestive manifestations (n = 135) were followed at Southern Medical University affiliated Nanfang Hospital from 2000 until 2013. Demographic variables, clinical features, and laboratory data were compared between the two groups. Univariate and multivariate logistic regression models were used to establish factors that predispose to IpsO in these patients. At the end of the study period, 32 (23.7%) patients had developed IpsO. Mortality (9 patients) was infrequent and the cause of death was unrelated to IpsO. Independent predictors of IpsO in SLE were ureterectasia, anti-U1 RNP(+), peritonitis, and low C3 levels. Regular abdominal X-ray examinations are recommended in SLE patients with ureterectasia, anti-U1 RNP(+), peritonitis, or low C3 levels, as early diagnosis and therapy may prevent unnecessary surgical intervention and improve the disease course. © The Author(s) 2015.

Application of Raman Spectroscopy and Univariate Modelling As a Process Analytical Technology for Cell Therapy Bioprocessing

Science.gov (United States)

Baradez, Marc-Olivier; Biziato, Daniela; Hassan, Enas; Marshall, Damian

2018-01-01

Cell therapies offer unquestionable promises for the treatment, and in some cases even the cure, of complex diseases. As we start to see more of these therapies gaining market authorization, attention is turning to the bioprocesses used for their manufacture, in particular the challenge of gaining higher levels of process control to help regulate cell behavior, manage process variability, and deliver product of a consistent quality. Many processes already incorporate the measurement of key markers such as nutrient consumption, metabolite production, and cell concentration, but these are often performed off-line and only at set time points in the process. Having the ability to monitor these markers in real-time using in-line sensors would offer significant advantages, allowing faster decision-making and a finer level of process control. In this study, we use Raman spectroscopy as an in-line optical sensor for bioprocess monitoring of an autologous T-cell immunotherapy model produced in a stirred tank bioreactor system. Using reference datasets generated on a standard bioanalyzer, we develop chemometric models from the Raman spectra for glucose, glutamine, lactate, and ammonia. These chemometric models can accurately monitor donor-specific increases in nutrient consumption and metabolite production as the primary T-cell transition from a recovery phase and begin proliferating. Using a univariate modeling approach, we then show how changes in peak intensity within the Raman spectra can be correlated with cell concentration and viability. These models, which act as surrogate markers, can be used to monitor cell behavior including cell proliferation rates, proliferative capacity, and transition of the cells to a quiescent phenotype. Finally, using the univariate models, we also demonstrate how Raman spectroscopy can be applied for real-time monitoring. The ability to measure these key parameters using an in-line Raman optical sensor makes it possible to have immediate

Application of Raman Spectroscopy and Univariate Modelling As a Process Analytical Technology for Cell Therapy Bioprocessing.

Science.gov (United States)

Baradez, Marc-Olivier; Biziato, Daniela; Hassan, Enas; Marshall, Damian

2018-01-01

Cell therapies offer unquestionable promises for the treatment, and in some cases even the cure, of complex diseases. As we start to see more of these therapies gaining market authorization, attention is turning to the bioprocesses used for their manufacture, in particular the challenge of gaining higher levels of process control to help regulate cell behavior, manage process variability, and deliver product of a consistent quality. Many processes already incorporate the measurement of key markers such as nutrient consumption, metabolite production, and cell concentration, but these are often performed off-line and only at set time points in the process. Having the ability to monitor these markers in real-time using in-line sensors would offer significant advantages, allowing faster decision-making and a finer level of process control. In this study, we use Raman spectroscopy as an in-line optical sensor for bioprocess monitoring of an autologous T-cell immunotherapy model produced in a stirred tank bioreactor system. Using reference datasets generated on a standard bioanalyzer, we develop chemometric models from the Raman spectra for glucose, glutamine, lactate, and ammonia. These chemometric models can accurately monitor donor-specific increases in nutrient consumption and metabolite production as the primary T-cell transition from a recovery phase and begin proliferating. Using a univariate modeling approach, we then show how changes in peak intensity within the Raman spectra can be correlated with cell concentration and viability. These models, which act as surrogate markers, can be used to monitor cell behavior including cell proliferation rates, proliferative capacity, and transition of the cells to a quiescent phenotype. Finally, using the univariate models, we also demonstrate how Raman spectroscopy can be applied for real-time monitoring. The ability to measure these key parameters using an in-line Raman optical sensor makes it possible to have immediate

Application of Raman Spectroscopy and Univariate Modelling As a Process Analytical Technology for Cell Therapy Bioprocessing

Directory of Open Access Journals (Sweden)

Marc-Olivier Baradez

2018-03-01

Full Text Available Cell therapies offer unquestionable promises for the treatment, and in some cases even the cure, of complex diseases. As we start to see more of these therapies gaining market authorization, attention is turning to the bioprocesses used for their manufacture, in particular the challenge of gaining higher levels of process control to help regulate cell behavior, manage process variability, and deliver product of a consistent quality. Many processes already incorporate the measurement of key markers such as nutrient consumption, metabolite production, and cell concentration, but these are often performed off-line and only at set time points in the process. Having the ability to monitor these markers in real-time using in-line sensors would offer significant advantages, allowing faster decision-making and a finer level of process control. In this study, we use Raman spectroscopy as an in-line optical sensor for bioprocess monitoring of an autologous T-cell immunotherapy model produced in a stirred tank bioreactor system. Using reference datasets generated on a standard bioanalyzer, we develop chemometric models from the Raman spectra for glucose, glutamine, lactate, and ammonia. These chemometric models can accurately monitor donor-specific increases in nutrient consumption and metabolite production as the primary T-cell transition from a recovery phase and begin proliferating. Using a univariate modeling approach, we then show how changes in peak intensity within the Raman spectra can be correlated with cell concentration and viability. These models, which act as surrogate markers, can be used to monitor cell behavior including cell proliferation rates, proliferative capacity, and transition of the cells to a quiescent phenotype. Finally, using the univariate models, we also demonstrate how Raman spectroscopy can be applied for real-time monitoring. The ability to measure these key parameters using an in-line Raman optical sensor makes it possible

Prevalence and Predictors of Neoadjuvant Therapy for Stage IIIA Non-Small Cell Lung Cancer in the National Cancer Database: Importance of Socioeconomic Status and Treating Institution

Energy Technology Data Exchange (ETDEWEB)

Sher, David J., E-mail: david_sher@rush.edu [Department of Radiation Oncology, Rush University Medical Center, Chicago, Illinois (United States); Liptay, Michael J. [Department of Cardiothoracic Surgery, Rush University Medical Center, Chicago, Illinois (United States); Fidler, Mary Jo [Section of Medical Oncology, Rush University Medical Center, Chicago, Illinois (United States)

2014-06-01

Purpose: The optimal locoregional therapy for stage IIIA non-small cell lung cancer (NSCLC) is controversial, with definitive chemoradiation therapy (CRT) and neoadjuvant therapy followed by surgery (NT-S) serving as competing strategies. In this study, we used the National Cancer Database to determine the prevalence and predictors of NT in a large, modern cohort of patients. Methods and Materials: Patients with stage IIIA NSCLC treated with CRT or NT-S between 2003 and 2010 at programs accredited by the Commission on Cancer were included. Predictors were categorized as clinical, time/geographic, socioeconomic, and institutional. In accord with the National Cancer Database, institutions were classified as academic/research program and as comprehensive and noncomprehensive community cancer centers. Logistic regression and random effects multilevel logistic regression were performed for univariable and multivariable analyses, respectively. Results: The cohort consisted of 18,581 patients, 3,087 (16.6%) of whom underwent NT-S (10.6% induction CRT, 6% induction chemotherapy). The prevalence of NT-S was constant over time, but there were significant relative 31% and 30% decreases in pneumonectomy and right-sided pneumonectomy, respectively, over time (P trend <.02). In addition to younger age, lower T stage, and favorable comorbidity score, indicators of higher socioeconomic status were strong independent predictors of NT-S, including white race, higher income, and private/managed insurance. The type of institution (academic/research program vs comprehensive or noncomprehensive community cancer centers, odds ratio 1.54 and 2.08, respectively) strongly predicted NT-S, but treatment volume did not. Conclusions: Neoadjuvant therapy followed by surgery was an uncommon treatment approach in Commission on Cancer programs, and the prevalence of postinduction pneumonectomy decreased over time. Higher socioeconomic status and treatment at academic institutions were significant

Prevalence and Predictors of Neoadjuvant Therapy for Stage IIIA Non-Small Cell Lung Cancer in the National Cancer Database: Importance of Socioeconomic Status and Treating Institution

International Nuclear Information System (INIS)

Sher, David J.; Liptay, Michael J.; Fidler, Mary Jo

2014-01-01

Purpose: The optimal locoregional therapy for stage IIIA non-small cell lung cancer (NSCLC) is controversial, with definitive chemoradiation therapy (CRT) and neoadjuvant therapy followed by surgery (NT-S) serving as competing strategies. In this study, we used the National Cancer Database to determine the prevalence and predictors of NT in a large, modern cohort of patients. Methods and Materials: Patients with stage IIIA NSCLC treated with CRT or NT-S between 2003 and 2010 at programs accredited by the Commission on Cancer were included. Predictors were categorized as clinical, time/geographic, socioeconomic, and institutional. In accord with the National Cancer Database, institutions were classified as academic/research program and as comprehensive and noncomprehensive community cancer centers. Logistic regression and random effects multilevel logistic regression were performed for univariable and multivariable analyses, respectively. Results: The cohort consisted of 18,581 patients, 3,087 (16.6%) of whom underwent NT-S (10.6% induction CRT, 6% induction chemotherapy). The prevalence of NT-S was constant over time, but there were significant relative 31% and 30% decreases in pneumonectomy and right-sided pneumonectomy, respectively, over time (P trend <.02). In addition to younger age, lower T stage, and favorable comorbidity score, indicators of higher socioeconomic status were strong independent predictors of NT-S, including white race, higher income, and private/managed insurance. The type of institution (academic/research program vs comprehensive or noncomprehensive community cancer centers, odds ratio 1.54 and 2.08, respectively) strongly predicted NT-S, but treatment volume did not. Conclusions: Neoadjuvant therapy followed by surgery was an uncommon treatment approach in Commission on Cancer programs, and the prevalence of postinduction pneumonectomy decreased over time. Higher socioeconomic status and treatment at academic institutions were significant

Clinical predictors of central sleep apnea evoked by positive airway pressure titration.

Science.gov (United States)

Moro, Marilyn; Gannon, Karen; Lovell, Kathy; Merlino, Margaret; Mojica, James; Bianchi, Matt T

2016-01-01

Treatment-emergent central sleep apnea (TECSA), also called complex apnea, occurs in 5%-15% of sleep apnea patients during positive airway pressure (PAP) therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management. We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split-night; n=306 two-night). Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG) data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI) ≥5 during split-night PSG (SN-PSG) versus full-night PSG (FN-PSG) titrations. CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients. Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the laboratory setting, even as PSG remains the gold standard for characterizing primary central apnea and TECSA.

Predictors of third and Higher order births in India

Directory of Open Access Journals (Sweden)

Payal Singh

2015-12-01

Full Text Available Background: Total fertility rate (TFR reflecting population growth is closely related to higher order parity progression. Many Indian states reached replacement level of TFR, but still states constituting nearly 40% population are with TFR ≥ 3. The predictors are the desire of son’s, poor contraceptives practices, younger age at marriage, child loss and shorter birth spacing. Objective: This analysis assessed the degree of relation of 3rd and higher order parity progression with the above mentioned predictors. Material and Methods: State/Union Territories wise proportions of women: progressing to ≥3 births, more sons desire, birth spacing <24 months, adopting modern contraception and median marriage age <18 years along with infant mortality rate (IMR were taken from NFHS-III report. Correlation matrix and stepwise forward multiple regression carried. Significance was seen at 5%. Results: Hindi speaking states constituting 38.92% nation population recorded TFR ≥3. Positive correlation of mothers progressing ≥ 3 births was highest (0.746 with those desiring more sons followed by IMR (0.445; while maximum negative correlation with those practicing modern contraceptives (-0.565 followed by median age at marriage (-0.391. Multiple regression analysis in order identified desire of more sons, practicing modern contraception and shorter birth spacing as the significant predictors and jointly explained 77.9% of the total variation with gain of 15.5% by adding modern contraceptive practice and 8.3% by adding shorter birth spacing. Conclusions: Desire of more sons appeared the most important predictor to progress ≥3 births that is governed by society culture and educational attainment, require attitudinal change. Further, mothers need motivation to practice both spacing and terminal methods once family is complete.

a meta-analysis

Indian Academy of Sciences (India)

Chrissa G. Tsiara

2018-03-13

Mar 13, 2018 ... a meta-analysis of case–control studies was conducted. Univariate and ...... recent hepatitis C virus: potential benefit for ribavirin use in. HCV/HIV ... C/G polymorphism in breast pathologies and in HIV-infected patients.

Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis

Energy Technology Data Exchange (ETDEWEB)

Nighoghossian, Norbert; Cho, Tae-Hee; Cottaz, Vincent; Mechtouff, Laura; Derex, Laurent [Universite Lyon 1, Department of Stroke, Neurological Hospital, Lyon (France); Abbas, Fatima; Schott, Anne Marie [Hospices Civils de Lyon, Pole Information Medicale Evaluation Recherche, Lyon (France); Geraldo, Ana Filipa; Janecek, Elie; Hermier, Marc; Tisserand, Louis Guy; Amelie, Roxana; Chamard, Leila; Berthezene, Yves [Universite Lyon 1, Department of Neuroradiology, Neurological Hospital, Bron, Lyon (France); Bischoff, Magali; El Khoury, Carlos [RESUVAL Stroke Network, Lyon (France)

2016-10-15

Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis. We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis. HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS; p = 0.008), severe LA (p = 0.02), and diffusion lesion volume (p = 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (p = 0.03). In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size. (orig.)

Diagnosis of coronary artery disease using myocardial perfusion SPECT in patients with diabetes mellitus: analysis of risk factors

International Nuclear Information System (INIS)

Seo, Ji Hyoung; Kang, Seong Min; Bae, Jin Ho; Jeong, Shin Young; Lee, Sang Woo; Yoo, Jeong Soo; Ahn, Byeong Cheol; Lee, Jae Tae

2006-01-01

Diabetes mellitus is a critical disease with higher rates of cardiovascular morbidity and mortality due to myocardial ischemia and infarction. There is growing interest in how to determine high-risk patients who are candidates for screening testing. This study was performed to evaluate the incidence of coronary artery disease (CAD) in diabetic patients detected by Tc-99m MIBI myocardial perfusion SPECT (MPS) and to assess risk factors of CAD and cardiac hard events. 203 diabetic patients (64 male, mean age 64.1 ± 9.0 years) who underwent MPS were included between Jan 2000 and July 2004. Cardiac death and nonfatal myocardial infarction (MI) were considered as hard events, and coronary angioplasty and bypass surgery >60 days after testing were considered as soft events. The mean follow-up period was 36 ± 18 months. Patients underwent exercise (n=6) or adenosine stress (n=197) myocardial perfusion SPECT. Perfusion defects on MPS were detected in 28.6% (58/203) of the patients. There was no cardiac death but 11 hard events were observed. The annual cardiac hard event rate was 1.1%. In univariate analysis of clinical factors, typical anginal pain, peripheral vascular disease, peripheral polyneuropathy, and resting ECG abnormality were significantly associated with the occurrence of hard events. Anginal pain, peripheral vascular disease, and resting ECG abnormality remained independent predictors of nonfatal MIs with multivariate analysis. Abnormal SPECT results were significantly associated with high prevalence of hard events but not independent predictors on uni- and multivariate analyses. patients who were male, had longer diabetes duration (especially over 20 years), peripheral vascular disease, peripheral polyneuropathy, or resting ECG abnormality had higher incidence of CAD. Among clinical factors in diabetic patients, typical angina, peripheral vascular disease, peripheral polyneuropathy, and resting ECG abnormality were strong predictors of hard events

Diagnosis of coronary artery disease using myocardial perfusion SPECT in patients with diabetes mellitus: analysis of risk factors

Energy Technology Data Exchange (ETDEWEB)

Seo, Ji Hyoung; Kang, Seong Min; Bae, Jin Ho; Jeong, Shin Young; Lee, Sang Woo; Yoo, Jeong Soo; Ahn, Byeong Cheol; Lee, Jae Tae [Kyungpook National University, Daegu, (Korea, Republic of)

2006-06-15

Diabetes mellitus is a critical disease with higher rates of cardiovascular morbidity and mortality due to myocardial ischemia and infarction. There is growing interest in how to determine high-risk patients who are candidates for screening testing. This study was performed to evaluate the incidence of coronary artery disease (CAD) in diabetic patients detected by Tc-99m MIBI myocardial perfusion SPECT (MPS) and to assess risk factors of CAD and cardiac hard events. 203 diabetic patients (64 male, mean age 64.1 {+-} 9.0 years) who underwent MPS were included between Jan 2000 and July 2004. Cardiac death and nonfatal myocardial infarction (MI) were considered as hard events, and coronary angioplasty and bypass surgery >60 days after testing were considered as soft events. The mean follow-up period was 36 {+-} 18 months. Patients underwent exercise (n=6) or adenosine stress (n=197) myocardial perfusion SPECT. Perfusion defects on MPS were detected in 28.6% (58/203) of the patients. There was no cardiac death but 11 hard events were observed. The annual cardiac hard event rate was 1.1%. In univariate analysis of clinical factors, typical anginal pain, peripheral vascular disease, peripheral polyneuropathy, and resting ECG abnormality were significantly associated with the occurrence of hard events. Anginal pain, peripheral vascular disease, and resting ECG abnormality remained independent predictors of nonfatal MIs with multivariate analysis. Abnormal SPECT results were significantly associated with high prevalence of hard events but not independent predictors on uni- and multivariate analyses. patients who were male, had longer diabetes duration (especially over 20 years), peripheral vascular disease, peripheral polyneuropathy, or resting ECG abnormality had higher incidence of CAD. Among clinical factors in diabetic patients, typical angina, peripheral vascular disease, peripheral polyneuropathy, and resting ECG abnormality were strong predictors of hard events.

A Multivariate Analysis of the Sociodemographic Predictors of Methamphetamine Production and Use

Science.gov (United States)

Armstrong, Todd A.; Armstrong, Gaylene S.

2013-01-01

To date, research testing the community characteristics associated with methamphetamine production and use has found that the community-level sociodemographic predictors of methamphetamine production and use vary from those of drug use in general. In this study, the authors furthered the research in this area using data from all 102 counties in…

Analysis and design of a Taguchi-Grey based electricity demand predictor for energy management systems

International Nuclear Information System (INIS)

Yao, Albert W.L.; Chi, S.C.

2004-01-01

In order to use electricity efficiently, a demand control management system is one of the effective ways to reduce energy consumption and electric bills. An electricity demand control system is used as a means to monitor and manage the usage of electricity effectively. Moreover, it is a useful tool for avoiding penalties beyond the contracted demand value of electricity with the electric power company. In this project, we developed a Taguchi-Grey based predictor to forecast the demand value of electricity on line. In a Grey prediction, the parameter settings are highly relevant to the accuracy of forecasting. A Taguchi method was employed to optimize the parameter settings for the Grey based electricity demand value predictor. Our experimental results show that the optimal parameter settings of the Grey prediction are α=0.4, five point modeling and three minute sampling time of the data acquisition system. The improved Taguchi-Grey based electricity demand predictor in conjunction with the PC based electricity demand control system is a cost effective and efficient means to manage the usage of electricity

Predictors of depression stigma

Directory of Open Access Journals (Sweden)

Jorm Anthony F

2008-04-01

Full Text Available Abstract Background To investigate and compare the predictors of personal and perceived stigma associated with depression. Method Three samples were surveyed to investigate the predictors: a national sample of 1,001 Australian adults; a local community sample of 5,572 residents of the Australian Capital Territory and Queanbeyan aged 18 to 50 years; and a psychologically distressed subset (n = 487 of the latter sample. Personal and Perceived Stigma were measured using the two subscales of the Depression Stigma Scale. Potential predictors included demographic variables (age, gender, education, country of birth, remoteness of residence, psychological distress, awareness of Australia's national depression initiative beyondblue, depression literacy and level of exposure to depression. Not all predictors were used for all samples. Results Personal stigma was consistently higher among men, those with less education and those born overseas. It was also associated with greater current psychological distress, lower prior contact with depression, not having heard of a national awareness raising initiative, and lower depression literacy. These findings differed from those for perceived stigma except for psychological distress which was associated with both higher personal and higher perceived stigma. Remoteness of residence was not associated with either type of stigma. Conclusion The findings highlight the importance of treating the concepts of personal and perceived stigma separately in designing measures of stigma, in interpreting the pattern of findings in studies of the predictors of stigma, and in designing, interpreting the impact of and disseminating interventions for stigma.

Sarcopenia as a predictor of all-cause mortality among community-dwelling older people: A systematic review and meta-analysis.

Science.gov (United States)

Liu, Ping; Hao, Qiukui; Hai, Shan; Wang, Hui; Cao, Li; Dong, Birong

2017-09-01

The aim of this systematic review and meta-analysis was to examine the association between sarcopenia and all-cause mortality among community-dwelling older people. A systematic review was performed using three electronic databases (EMBASE, MEDLINE and the Cochrane Library) to identify prospective cohort studies from January 2009 to February 2017 examining sarcopenia as a predictor of all-cause mortality among community-dwelling older people. We conducted a pooled analysis of mortality associated with sarcopenia, and subgroup analyses based on measurements of muscle mass and length of follow-up by employing a random-effects model. Sensitivity analyses were performed evaluate the cause of high heterogeneity. In addition, methodological quality, heterogeneity and publication bias were evaluated. Of 1703 studies identified, 6 studies incorporating 7367 individuals were included in the meta-analysis for all-cause mortality. The pooled hazard ratios (HRs) of all-cause mortality from the combination of included studies suggested participants with sarcopenia had a significantly higher rate of mortality (pooled HR 1.60, 95%CI 1.24-2.06, I 2 =27.8%, p=0.216) than participants without sarcopenia. The subgroup analysis for length of follow-up suggested studies with a follow-up period of less than 5 years found a higher risk of all-cause mortality (pooled HR 2.09, 95%CI 1.21-3.60) than studies with a follow-up period of 5 years or more (pooled HR 1.52, 95%CI 1.14-2.01). A subgroup of anthropometric measures was found to identify higher mortality risks (pooled HR 2.26, 95%CI 1.30-3.92) than a subgroup of dual-energy x-ray (DXA) absorptiometry (pooled HR 1.82, 95%CI 1.04-3.18) factors or a subgroup of bioelectrical impedance analysis (BIA) factors (pooled HR 1.31, 95%CI 1.15-1.49). Sarcopenia is a predictor of all-cause mortality among community-dwelling older people. Therefore, it is important to diagnose sarcopenia and to intervene, in order to reduce mortality rates in the

Who uses nursing theory? A univariate descriptive analysis of five years' research articles.

Science.gov (United States)

Bond, A Elaine; Eshah, Nidal Farid; Bani-Khaled, Mohammed; Hamad, Atef Omar; Habashneh, Samira; Kataua', Hussein; al-Jarrah, Imad; Abu Kamal, Andaleeb; Hamdan, Falastine Rafic; Maabreh, Roqia

2011-06-01

Since the early 1950s, nursing leaders have worked diligently to build the Scientific Discipline of Nursing, integrating Theory, Research and Practice. Recently, the role of theory has again come into question, with some scientists claiming nurses are not using theory to guide their research, with which to improve practice. The purposes of this descriptive study were to determine: (i) Were nursing scientists' research articles in leading nursing journals based on theory? (ii) If so, were the theories nursing theories or borrowed theories? (iii) Were the theories integrated into the studies, or were they used as organizing frameworks? Research articles from seven top ISI journals were analysed, excluding regularly featured columns, meta-analyses, secondary analysis, case studies and literature reviews. The authors used King's dynamic Interacting system and Goal Attainment Theory as an organizing framework. They developed consensus on how to identify the integration of theory, searching the Title, Abstract, Aims, Methods, Discussion and Conclusion sections of each research article, whether quantitative or qualitative. Of 2857 articles published in the seven journals from 2002 to, and including, 2006, 2184 (76%) were research articles. Of the 837 (38%) authors who used theories, 460 (55%) used nursing theories, 377 (45%) used other theories: 776 (93%) of those who used theory integrated it into their studies, including qualitative studies, while 51 (7%) reported they used theory as an organizing framework for their studies. Closer analysis revealed theory principles were implicitly implied, even in research reports that did not explicitly report theory usage. Increasing numbers of nursing research articles (though not percentagewise) continue to be guided by theory, and not always by nursing theory. Newer nursing research methods may not explicitly state the use of nursing theory, though it is implicitly implied. © 2010 The Authors. Scandinavian Journal of Caring

Introducing a prognostic score for pretherapeutic assessment of seminal vesicle invasion in patients with clinically localized prostate cancer

International Nuclear Information System (INIS)

Salomon, Laurent; Porcher, Raphaeel; Anastasiadis, Aristotelis G.; Levrel, Olivier; Saint, Fabian; Taille, Alexandre de la; Vordos, Dimitrios; Cicco, Antony; Hoznek, Andras; Chopin, Dominique; Abbou, Clement-Claude; Lagrange, Jean-Leon

2003-01-01

Purpose: To identify prostate cancer patients who will have the most likely benefit from sparing the seminal vesicles during 3D conformal radiation therapy. Methods and materials: From 1988 to 2001, 532 patients underwent radical prostatectomy for clinically localized prostate cancer. Primary endpoint was the pathological evidence of seminal vesicle invasion. Variables for univariate and multivariate analyses were age, prostate weight, clinical stage, PSA level, Gleason score, number and site of positive prostate sextant biopsies. Multivariate logistic regression with backward stepwise variable selection was used to identify a set of independent predictors of seminal vesicle invasion, and the variable selection procedure was validated by non-parametric bootstrap. Results: Seminal vesicle invasion was reported in 14% of the cases. In univariate analysis, all variables except age and prostate weight were predictors of seminal vesicle invasion. In multivariate analysis, only the number of positive biopsies (P<0.0001), Gleason score (P<0.007) and PSA (P<0.0001) were predictors for seminal vesicles invasion. Based on the multivariate model, we were able to develop a prognostic score for seminal vesicle invasion, which allowed us to discriminate two patient groups: A group with low risk of seminal vesicles invasion (5.7%), and the second with a higher risk of seminal vesicles invasion (32.7%). Conclusions: Using the number of positive biopsies, Gleason score and PSA, it is possible to identify patients with low risk of seminal vesicles invasion. In this population, seminal vesicles might be excluded as a target volume in radiation therapy of prostate cancer

Critical thinking skills of undergraduate nursing students: description and demographic predictors.

Science.gov (United States)

Hunter, Sharyn; Pitt, Victoria; Croce, Nic; Roche, Jan

2014-05-01

This study investigated the critical thinking skills among undergraduate nursing students in Australia to obtain a profile and determine demographic predictors of critical thinking. There is universal agreement that being a critical thinker is an outcome requirement for many accreditation and registering nursing bodies. Most studies provide descriptive statistical information about critical thinking skills while some have studied the changes in critical thinking after an intervention. Limited research about factors that predict critical thinking skills is available. A cross-sectional descriptive study was conducted using convenience sampling. Two hundred and sixty-nine students were recruited across three years of an undergraduate programme in 2009. Most students' age ranged from under 20 to 34 years (58%), 87% were female, 91% were Australian and 23% of first and second year students had nursing associated experience external to the university. Data about critical thinking skills were collected via the Health Science Reasoning Test (HSRT). Linear regression analysis investigated the predictors of nursing students' critical thinking skills. The students in third year had a profile of critical thinking skills comparable with HSRT norms. Year of study predicted higher critical thinking scores for all domains (p<0.001) except the subscale, analysis. Nationality predicted higher scores for total CT skill scores (p<0.001) and subscales, inductive (p=0.001) and deductive reasoning (p=0.001). Nursing associated experience predicted higher scores for the subscale, analysis (p<0.001). Age and gender were not predictive. However, these demographic predictors only accounted for a small variance obtained for the domains of CT skills. An understanding of factors that predict nursing students' CT skills is required. Despite this study finding a number of significant predictors of nursing students' CT skills, there are others yet to be understood. Future research is recommended

Self-efficacy, emotional intelligence and birth order as predictors of ...

African Journals Online (AJOL)

Self-efficacy, emotional intelligence and birth order as predictors of academic performance among secondary school students in Kajola Local Government ... standardized scales and the data obtained was analyzed using Pearson Product Moment Correlation (PPMC) and Multiple Regression Statistical analysis of SPSS.

Study of Ecotype and Sowing Date Interaction in Cumin (Cuminum cyminum L. using Different Univariate Stability Parameters

Directory of Open Access Journals (Sweden)

J Ghanbari

2017-06-01

Full Text Available Introduction Cumin is one of the most important medicinal plants in Iran and today, it is in the second level of popularity between spices in the world after black pepper. Cumin is an aromatic plant used as flavoring and seasoning agent in foods. Cumin seeds have been found to possess significant biological and have been used for treatment of toothache, dyspepsia, diarrhoea, epilepsy and jaundice. Knowledge of GEI is advantageous to have a cultivar that gives consistently high yield in a broad range of environments and to increase efficiency of breeding program and selection of best genotypes. A genotype that has stable trait expression across environments contributes little to GEI and its performance should be more predictable from the main several statistical methods have been proposed for stability analysis, with the aim of explaining the information contained in the GEI. Regression technique was proposed by Finlay and Wilkinson (1963 and was improved by Eberhart and Russell (1966. Generally, genotype stability was estimated by the slope of and deviation from the regression line for each of the genotypes. This is a popular method in stability analysis and has been applied in many crops. Non-parametric methods (rank mean (R, standard deviation rank (SDR and yield index ratio (YIR, environmental variance (S2i and genotypic variation coefficient (CVi Wricke's ecovalence and Shukla's stability variance (Shukla, 1972 have been used to determine genotype-by-environment interaction in many studies. This study was aimed to evaluate the ecotype × sowing date interaction in cumin and to evaluation of genotypic response of cumin to different sowing dates using univariate stability parameters. Materials and Methods In order to study of ecotype × sowing date interaction, different cumin ecotypes: Semnan, Fars, Yazd, Golestan, Khorasan-Razavi, Khorasan-Shomali, Khorasan-Jonoubi, Isfahan and Kerman in 5 different sowing dates (26th December, 10th January

Predictors of recurrence in pheochromocytoma.

Science.gov (United States)

Press, Danielle; Akyuz, Muhammet; Dural, Cem; Aliyev, Shamil; Monteiro, Rosebel; Mino, Jeff; Mitchell, Jamie; Hamrahian, Amir; Siperstein, Allan; Berber, Eren

2014-12-01

The recurrence rate of pheochromocytoma after adrenalectomy is 6.5-16.5%. This study aims to identify predictors of recurrence and optimal biochemical testing and imaging for detecting the recurrence of pheochromocytoma. In this retrospective study we reviewed all patients who underwent adrenalectomy for pheochromocytoma during a 14-year period at a single institution. One hundred thirty-five patients had adrenalectomy for pheochromocytoma. Eight patients (6%) developed recurrent disease. The median time from initial operation to diagnosis of recurrence was 35 months. On multivariate analysis, tumor size >5 cm was an independent predictor of recurrence. One patient with recurrence died, 4 had stable disease, 2 had progression of disease, and 1 was cured. Recurrence was diagnosed by increases in plasma and/or urinary metanephrines and positive imaging in 6 patients (75%), and by positive imaging and normal biochemical levels in 2 patients (25%). Patients with large tumors (>5 cm) should be followed vigilantly for recurrence. Because 25% of patients with recurrence had normal biochemical levels, we recommend routine imaging and testing of plasma or urinary metanephrines for prompt diagnosis of recurrence. Copyright © 2014 Elsevier Inc. All rights reserved.

Sixteen-year follow-up of childhood avalanche survivors

DEFF Research Database (Denmark)

Thordardottir, E.B.; Valdimarsdóttir, Unnur A; Hansdottir, Ingunn

2016-01-01

: Childhood survivors (aged 2-19 at the time of exposure) of two avalanches were identified through nationwide registers 16 years later. The PosttraumaticDiagnostic Scale was used to assess current PTSD symptoms. One-way ANOVA was used to explore PTSD symptoms by background and trauma-specific factors......, as well as associations with current SES. Predictors of PTSD symptoms were examined by multivariable regression analysis. Results: Response rate was 66% (108/163). Results from univariate ANOVA analysis revealed that female sex was associated with PTSD symptoms (F =5.96, p...

Characteristic Equation of the Modified Smith predictor to MIMO Systems

Directory of Open Access Journals (Sweden)

Jorge A. Herrera-Cuartas

2013-11-01

Full Text Available The delay in control systems is a feature frequently in real systems due to the transport of objects or information, a series connection of multiple systems or own processing and sensors delay, among others. Recently there have been several studies to identify the external delay MIMO systems, these works are focused on identification and on-line control of MIMO systems and use a multimodel structure based on modified Smith predictor using different search method. It is clear that for the implementation of the algorithm, and to obtain the convergence and stability analysis, it is necessary to have closed-loop equations of modified Smith predictor. However, in these works is not presented the analytical procedure, not be the main object, displaying only the closed loop equations without the procedure for obtaining it. Therefore, to respond, in this paper, we present an analytical way to derive the closed-loop equations of a modified Smith predictor.  

Predictors of smoking among male college students in Saudi Arabia.

Science.gov (United States)

Almogbel, Y S; Abughosh, S M; Almogbel, F S; Alhaidar, I A; Sansgiry, S S

2013-11-01

Identifying the predictors of smoking in one of the top cigarette-consuming countries in the world is a vital step in smoking prevention. A cross-sectional study assessed the predictors of smoking in a cohort of male students in 3 universities in Saudi Arabia. A pre-tested, validated questionnaire was used to determine sociodemographic characteristics, academic performance, peers' smoking, and presence of a smoker within the family. Of the 337 participants, 30.9% were current smokers (smoked 1 or more cigarettes within the last 30 days). Lower academic performance (OR = 2.29, 95% CI: 1.02-5.17), peer smoking (OR = 4.14, 95% CI: 1.53-11.3) and presence of other smokers in the family (OR = 2.77, 95% CI: 1.37-5.64) were the significant predictors of smoking status identified using multiple logistic regression analysis. These findings highlight the influence of family and peer pressure in initiating cigarette use among the youth of Saudi Arabia.

Clinical predictors and prognostic significance of electrical storm in patients with implantable cardioverter defibrillators.

Science.gov (United States)

Brigadeau, François; Kouakam, Claude; Klug, Didier; Marquié, Christelle; Duhamel, Alain; Mizon-Gérard, Frédérique; Lacroix, Dominique; Kacet, Salem

2006-03-01

Insufficient data exists regarding predictors of electrical storms (ES) and clinical outcome in patients treated with an implantable cardioverter defibrillator (ICD). The purpose of this study was to delineate a subgroup of patients likely to experience ES and to determine the impact of ES on mortality in ICD recipients. Baseline characteristics of 307 ICD-treated patients were retrospectively analysed. ES was defined as two or more ventricular tachyarrhythmias within 24 h leading to an immediate electrical therapy (antitachycardia pacing and/or shock), separated by a period of sinus rhythm. Clinical characteristics and survival of 123 patients experiencing a total of 294 episodes of ES (median 2 ES/patient, range 1-9), were compared with those of 184 ES-free patients during a median follow-up of 826 days (inter-quartile 1141 days). Median actuarial duration for the first ES occurrence after ICD implant was 1417 days [95% confidence interval (CI) 1061-2363] with a median follow-up of 816 days (7-4642 days) in ES-free patients. Univariate analysis identified older age, depressed left ventricular ejection fraction (LVEF), ventricular tachycardia (VT) as index arrhythmia, chronic renal failure and absence of lipid-lowering drugs as variables significantly associated with an increased risk of ES. Multivariable Cox analysis confirmed an independent predictive value for chronic renal failure [hazard ratio (HR) 1.54, 95% CI 0.95-2.51, P=0.052], VT (HR 2.20, 95% CI 1.44-3.37, P=0.0003), and LVEF (HR 0.98, 95% CI 0.97-0.99, P=0.027). In contrast, diabetics (HR 0.49, 95% CI 0.27-0.90, P=0.022) were less affected by ES. There was no difference in survival between both groups. ES is frequent but does not increase mortality in ICD's recipients. Patients with severe systolic dysfunction, chronic renal failure and VT as initial arrhythmia are likely to experience ES. Diabetics are less affected by ES.

Prediction of ecotoxicity of hydrocarbon-contaminated soils using physicochemical parameters

Energy Technology Data Exchange (ETDEWEB)

Wong, D.C.L.; Chai, E.Y.; Chu, K.K.; Dorn, P.B.

1999-11-01

The physicochemical properties of eight hydrocarbon-contaminated soils were used to predict toxicity to earthworms (Eisenia fetida) and plants. The toxicity of these preremediated soils was assessed using earthworm avoidance, survival, and reproduction and seed germination and root growth in four plant species. No-observed-effect and 25% inhibitory concentrations were determined from the earthworm and plant assays. Physical property measurements and metals analyses of the soils were conducted. Hydrocarbon contamination was characterized by total petroleum hydrocarbons, oil and grease, and GC boiling-point distribution. Univariate and multivariate statistical methods were used to examine relationships between physical and chemical properties and biological endpoints. Soil groupings based on physicochemical properties and toxicity from cluster and principal component analyses were generally similar. Correlation analysis identified a number of significant relationships between soil parameters and toxicity that were used in univariate model development. Total petroleum hydrocarbons by gas chromatography and polars were identified as predictors of earthworm avoidance and survival and seed germination, explaining 65 to 75% of the variation in the data. Asphaltenes also explained 83% of the variation in seed germination. Gravimetric total petroleum hydrocarbons explained 40% of the variation in earthworm reproduction, whereas 43% of the variation in plant root growth was explained by asphaltenes. Multivariate one-component partial least squares models, which identified predictors similar to those identified by the univariate models, were also developed for worm avoidance and survival and seed germination and had predictive powers of 42 and 29%, respectively.

Predictors of Alcohol Use during Pregnancy among Women Attending Midwife Obstetric Units in the Cape Metropole, South Africa.

Science.gov (United States)

Petersen-Williams, Petal; Mathews, Catherine; Jordaan, Esmé; Parry, Charles D H

2017-12-08

Little is known about the nature and extent of substance use among pregnant women in Cape Town (South Africa) despite the very high levels of substance use and related consequences such as FASD in this part of the country. The aim of the study was to determine predictors of alcohol use among pregnant women. A cross-sectional survey was conducted among pregnant women attending 11 Midwife Obstetric Units (MOUs) in greater Cape Town. A two-stage cluster survey design was used. In total, 5231 pregnant women were screened to assess self-reported prevalence estimates. Of these, 684 (13.1%) were intentionally sub-sampled and completed an interviewer-administered questionnaire and provided a urine sample for biological screening. Univariate and multivariate statistical procedures were used to determine factors predictive of alcohol use. Findings highlight various demographic, social and partner substance use predictors for both self-reported and biologically verified alcohol use in two different models. Being Coloured, having a marital status other than being married, experiencing violence or aggression in the past 12 months compared to more than 12 months ago, having a partner who drinks, and partner drug use are all independently associated with higher odds of self-reported alcohol use. In contrast, only partner tobacco use is independently associated with higher odds of biologically verified alcohol use. Knowing the risk factors for alcohol use in pregnancy is important so that intervention efforts can accurately target those women in need of services. Intervention programs addressing risk factors of high-risk pregnant women are needed.

Predictors of mortality in patients initiating antiretroviral therapy in ...

African Journals Online (AJOL)

a history of oral candidiasis (HR 2.58, 95% CI 1.37 - 4.88) remained significant in multivariate analysis. A history of tuberculosis was not a significant predictor of mortality. Conclusions. Simple clinical and laboratory data independently predict mortality and allow for risk stratification in patients initiating ART in South Africa.

Predictors of subjective well-being among older Ghanaians | Calys ...

African Journals Online (AJOL)

The single item measure of life satisfaction was used to determine subjective wellbeing. Descriptive statistics as well as logistic regression analysis were carried out to determine the predictors of SWB. Results: A total of 4724 individuals aged 50 years and above responded to the questionnaires. Of these 50.4% were males.

Improving the performance of univariate control charts for abnormal detection and classification

Science.gov (United States)

Yiakopoulos, Christos; Koutsoudaki, Maria; Gryllias, Konstantinos; Antoniadis, Ioannis

2017-03-01

Bearing failures in rotating machinery can cause machine breakdown and economical loss, if no effective actions are taken on time. Therefore, it is of prime importance to detect accurately the presence of faults, especially at their early stage, to prevent sequent damage and reduce costly downtime. The machinery fault diagnosis follows a roadmap of data acquisition, feature extraction and diagnostic decision making, in which mechanical vibration fault feature extraction is the foundation and the key to obtain an accurate diagnostic result. A challenge in this area is the selection of the most sensitive features for various types of fault, especially when the characteristics of failures are difficult to be extracted. Thus, a plethora of complex data-driven fault diagnosis methods are fed by prominent features, which are extracted and reduced through traditional or modern algorithms. Since most of the available datasets are captured during normal operating conditions, the last decade a number of novelty detection methods, able to work when only normal data are available, have been developed. In this study, a hybrid method combining univariate control charts and a feature extraction scheme is introduced focusing towards an abnormal change detection and classification, under the assumption that measurements under normal operating conditions of the machinery are available. The feature extraction method integrates the morphological operators and the Morlet wavelets. The effectiveness of the proposed methodology is validated on two different experimental cases with bearing faults, demonstrating that the proposed approach can improve the fault detection and classification performance of conventional control charts.

Which factors enhance positive drug reimbursement recommendation in Scotland? A retrospective analysis 2006-2013.

Science.gov (United States)

Charokopou, Mata; Majer, Istvan M; Raad, Johan de; Broekhuizen, Stefan; Postma, Maarten; Heeg, Bart

2015-03-01

To identify the factors that influence the Scottish Medicines Consortium (SMC) in deciding whether to accept pharmaceutical technologies for use within the Scottish health care system. A database of SMC submissions between 2006 and 2013 was created, containing a range of clinical, economic, and other factors extracted from published health technology assessment reports. A binomial outcome variable was used, defined as the decision to "accept for use" or "not recommend" a technology. Univariate and multivariate analyses were conducted to assess the impact by means of odds ratios (ORs) of the submitted evidence on the recommendation decision. Out of 463 applications, 265 were accepted for use (57%) and 198 (43%) were not recommended for use within National Health Service Scotland. Univariate analyses showed that 13 variables significantly affected the SMC decision. Of these 13 variables, 7 variables were shown to have a meaningful impact in the multivariate analysis. Four of these concerned the outcome of cost-effectiveness analyses; the fact that a submission was supported by a cost-minimization analysis was the strongest positive variable (OR = 10.30) and a submission showing a product not being cost-effective (i.e., incremental cost-effectiveness ratio above £30,000/quality-adjusted life-year gained) was the strongest negative predictor (OR = 0.47). The other variables concerned whether the submission was related to a product indicated for a nervous system disease (OR = 0.41), whether it was indicated for nonchronic use (OR = 1.66), and whether the submission was performed by a big company (OR = 2.83). This study demonstrated that the outcome of cost-effectiveness analyses is an important factor affecting the SMC's reimbursement recommendation decision. Copyright © 2015. Published by Elsevier Inc.

Predictors of successful external cephalic version in an Australian maternity hospital.

Science.gov (United States)

Mowat, Alex; Gardener, Glenn

2014-02-01

There are minimal data involving predictors of success of external cephalic version (ECV) in an Australian healthcare setting. To determine the predictors of successful ECV as well as the success rate of ECV and the mode of, and presentation at, delivery for women undergoing ECV for breech presentation from 36-weeks gestation. A prospective review was carried out on all women who had undergone ECV from 36-weeks gestation at the Mater Mothers Hospital over an 8-year period from 2001 to 2008. Data were collected prospectively and were collated in conjunction with database review, chart review and telephonic patient interviews. A total of 355 women underwent ECV for breech presentation. The overall success rate was 66% (57% for nulliparous, 76% for multiparous). A woman who underwent ECV had a 46% chance of a vaginal birth. If the ECV was successful, she had a 70% chance of vaginal birth. From bivariate analysis, parity, amniotic fluid index (AFI) and estimated fetal weight (EFW) were determined to be possible predictors of success of ECV and were included in the logistic regression modelling. In the regression analysis, multiparity increased the odds of successful ECV by 2.18. For every one unit increase in AFI, the odds of successful ECV increased by 1.18. Multiparity and amniotic fluid volume as assessed by AFI were the significant predictors of immediate success of ECV. Conversely, lower AFI and nulliparity are factors that are likely to reduce the likelihood of successful ECV. © 2013 The Royal Australian and New Zealand College of Obstetricians and Gynaecologists.

Prevalence and predictors of sunburn among beachgoers.

Science.gov (United States)

de Troya-Martín, Magdalena; de Gálvez-Aranda, María Victoria; Rivas-Ruiz, Francisco; Blázquez-Sánchez, Nuria; Fernández-Morano, Maria Teresa; Padilla-España, Laura; Herrera-Ceballos, Enrique

2018-03-01

Painful sunburns at any age are one of the main risk factors for skin cancer. To determine the prevalence and predictors of sunburn among beachgoers. A cross-sectional health survey was conducted at the beach during the summer. Adults >18 years with an understanding of Spanish were interviewed using a questionnaire about behaviours, attitudes and knowledge related to sun exposure at the beach. A descriptive analysis was performed, and a log-binomial regression model was used to determine predictors of sunburn. The survey was completed by 1054 beachgoers, with a mean age of 43.8 (SD: 18.7) years, 61.2% women, skin phototypes i (13.6%), ii (22.3%), iii (34.0%) and iv (30.2%). 46.9% of responders reported at least one painful sunburn during the previous summer. Age, sex, education, skin phototype, midday sun exposure, sun protection habits, attitudes towards tanning and knowledge about skin cancer were identified as independent predictors of sunburn. It is necessary to develop photoprotection campaigns aimed at beachgoers, particularly in young people, men, those with skin phototypes I-III and secondary or university education. Educational strategies should be aimed at discouraging sun exposure at midday, changing attitudes towards tanning and improving knowledge about skin cancer. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Predictors of hope among women with breast cancer during chemotherapy.

Science.gov (United States)

Balsanelli, Alessandra Cristina Sartore; Grossi, Sonia Aurora Alves

2016-01-01

Identifying the predictors of hope in patients with breast cancer during chemotherapy treatment. A prospective longitudinal study. The sample was composed of 122 women who responded to the instruments of hope, anxiety and depression, coping, fatigue, religiosity and self-esteem in the first and last cycle of chemotherapy. These variables were used in adjusting the logistic regression model that characterized multivariate statistics, allowing identification of predictor variables. The increase of hope at the end of chemotherapy treatment was statistically significant (p = 0.012). The delay in undergoing treatment from the onset of breast cancer symptoms, Karnofsky Performance Status, depression, self-esteem and pain were characterized as factors being associated to hope by univariate analysis. Among the variables analyzed, pain was the only predicting factor of hope. Pain was the predicting factor in this sample. Hope increased during treatment and revealed the following associated factors: Karnofsky Performance Status, delay in starting the treatment, depression, self-esteem and pain. This study brought forth a multidisciplinary contribution, allowing for understanding the factors that can influence hope and presenting support to nursing care. The data evidenced conditions of improvement or worsening of hope, which requires interdisciplinary attention in Oncology. Identificar os fatores preditores da esperança nas pacientes com câncer de mama em tratamento quimioterápico. Estudo prospectivo longitudinal. A amostra foi de 122 mulheres que responderam aos instrumentos de esperança, ansiedade e depressão, coping, fadiga, religiosidade e autoestima no primeiro e no último ciclo de quimioterapia. Essas variáveis foram utilizadas no ajuste do modelo de regressão logística que caracterizou a estatística multivariada permitindo a identificação das variáveis preditoras. O aumento da esperança ao final do tratamento quimioterápico foi estatisticamente

Organ donation in Switzerland--an analysis of factors associated with consent rate.

Directory of Open Access Journals (Sweden)

Julius Weiss

Full Text Available BACKGROUND AND AIM: Switzerland has a low post mortem organ donation rate. Here we examine variables that are associated with the consent of the deceased's next of kin (NOK for organ donation, which is a prerequisite for donation in Switzerland. METHODS AND ANALYSIS: During one year, we registered information from NOK of all deceased patients in Swiss intensive care units, who were approached for consent to organ donation. We collected data on patient demographics, characteristics of NOK, factors related to the request process and to the clinical setting. We analyzed the association of collected predictors with consent rate using univariable logistic regression models; predictors with p-values <0.2 were selected for a multivariable logistic regression. RESULTS: Of 266 NOK approached for consent, consent was given in 137 (51.5% cases. In multivariable analysis, we found associations of consent rates with Swiss nationality (OR 3.09, 95% CI: 1.46-6.54 and German language area (OR 0.31, 95% CI: 0.14-0.73. Consent rates tended to be higher if a parent was present during the request (OR 1.76, 95% CI: 0.93-3.33 and if the request was done before brain death was formally declared (OR 1.87, 95% CI: 0.90-3.87. CONCLUSION: Establishing an atmosphere of trust between the medical staff putting forward a request and the NOK, allowing sufficient time for the NOK to consider donation, and respecting personal values and cultural differences, could be of importance for increasing donation rates. Additional measures are needed to address the pronounced differences in consent rates between language regions.

Predictors related to the occurrence of a measles epidemic in the city of São Paulo in 1997

Directory of Open Access Journals (Sweden)

Maria Claudia Corrêa Camargo

2000-06-01

Full Text Available A matched case-control study was performed to identify risk factors for measles during an epidemic that occurred in 1997 in the city of São Paulo, in the Brazilian state of the same name. Measles cases from the city of São Paulo from 1 January 1997 to 15 August 1997 were included in the study. The criteria for case definition were age below 30 years, having received no measles vaccine 5-21 days before the onset of rash, and laboratory confirmation by IgM antibodies detection. From a bank of confirmed measles cases, 130 cases for each of five age ranges (under 1 year, 1-5 years, 6-20 years, 21-24 years, and 25-29 years were picked at random according to a systematic criterion proportional to the number of cases in seven areas of the city. Data were collected through a home survey, and for each measles case studied two controls matched by age and place of residence were selected. The matched conditional logistic regression analysis for the potential risk factors from the univariate analysis showed that the best predictors for acquiring measles during the epidemic were: lack of measles vaccination, previous contact with a measles-like disease at home or on the job, having been born either outside the state of São Paulo or in a rural area, being employed, and spending time in a semiclosed institution, such as a nursery, day care center, or school. The risk factors were not homogeneous for the different age groups. The data in the present survey suggest that, in addition to lack of vaccination, other risk factors should be considered when planning a measles vaccination strategy for a developing country.

The Renal Arterial Resistance Index Predicts Worsening Renal Function in Chronic Heart Failure Patients

Science.gov (United States)

Iacoviello, Massimo; Monitillo, Francesco; Leone, Marta; Citarelli, Gaetano; Doronzo, Annalisa; Antoncecchi, Valeria; Puzzovivo, Agata; Rizzo, Caterina; Lattarulo, Maria Silvia; Massari, Francesco; Caldarola, Pasquale; Ciccone, Marco Matteo

2016-01-01

Background/Aim The renal arterial resistance index (RRI) is a Doppler measure, which reflects abnormalities in the renal blood flow. The aim of this study was to verify the value of RRI as a predictor of worsening renal function (WRF) in a group of chronic heart failure (CHF) outpatients. Methods We enrolled 266 patients in stable clinical conditions and on conventional therapy. Peak systolic velocity and end diastolic velocity of a segmental renal artery were obtained by pulsed Doppler flow, and RRI was calculated. Creatinine serum levels were evaluated at baseline and at 1 year, and the changes were used to assess WRF occurrence. Results During follow-up, 34 (13%) patients showed WRF. RRI was associated with WRF at univariate (OR: 1.13; 95% CI: 1.07–1.20) as well as at a forward stepwise multivariate logistic regression analysis (OR: 1.09; 95% CI: 1.03–1.16; p = 0.005) including the other univariate predictors. Conclusions Quantification of arterial renal perfusion provides a new parameter that independently predicts the WRF in CHF outpatients. Its possible role in current clinical practice to better define the risk of cardiorenal syndrome progression is strengthened. PMID:27994601

Predictors of Early Termination in a University Counseling Training Clinic

Science.gov (United States)

Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M.

2009-01-01

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models.

Science.gov (United States)

Wang, Yifan; Liu, Aiyi; Mills, James L; Boehnke, Michael; Wilson, Alexander F; Bailey-Wilson, Joan E; Xiong, Momiao; Wu, Colin O; Fan, Ruzong

2015-05-01

In genetics, pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. A common approach is to analyze the phenotypic traits separately using univariate analyses and combine the test results through multiple comparisons. This approach may lead to low power. Multivariate functional linear models are developed to connect genetic variant data to multiple quantitative traits adjusting for covariates for a unified analysis. Three types of approximate F-distribution tests based on Pillai-Bartlett trace, Hotelling-Lawley trace, and Wilks's Lambda are introduced to test for association between multiple quantitative traits and multiple genetic variants in one genetic region. The approximate F-distribution tests provide much more significant results than those of F-tests of univariate analysis and optimal sequence kernel association test (SKAT-O). Extensive simulations were performed to evaluate the false positive rates and power performance of the proposed models and tests. We show that the approximate F-distribution tests control the type I error rates very well. Overall, simultaneous analysis of multiple traits can increase power performance compared to an individual test of each trait. The proposed methods were applied to analyze (1) four lipid traits in eight European cohorts, and (2) three biochemical traits in the Trinity Students Study. The approximate F-distribution tests provide much more significant results than those of F-tests of univariate analysis and SKAT-O for the three biochemical traits. The approximate F-distribution tests of the proposed functional linear models are more sensitive than those of the traditional multivariate linear models that in turn are more sensitive than SKAT-O in the univariate case. The analysis of the four lipid traits and the three biochemical traits detects more association than SKAT-O in the univariate case. © 2015 WILEY PERIODICALS, INC.

National Cancer Database Analysis of Proton Versus Photon Radiation Therapy in Non-Small Cell Lung Cancer

Energy Technology Data Exchange (ETDEWEB)

Higgins, Kristin A., E-mail: kristin.higgins@emory.edu [Department of Radiation Oncology, Emory University, Atlanta, Georgia (United States); Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); O' Connell, Kelli [Rollins School of Public Health, Emory University, Atlanta, Georgia (United States); Liu, Yuan [Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Rollins School of Public Health, Emory University, Atlanta, Georgia (United States); Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia (United States); Gillespie, Theresa W. [Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Department of Surgery, Emory University, Atlanta, Georgia (United States); McDonald, Mark W. [Department of Radiation Oncology, Emory University, Atlanta, Georgia (United States); Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Pillai, Rathi N. [Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Department of Hematology and Medical Oncology, Emory University, Atlanta, Georgia (United States); Patel, Kirtesh R.; Patel, Pretesh R. [Department of Radiation Oncology, Emory University, Atlanta, Georgia (United States); Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Robinson, Clifford G. [Department of Radiation Oncology, Washington University, St. Louis, Missouri (United States); Simone, Charles B. [Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania (United States); Owonikoko, Taofeek K. [Winship Cancer Institute, Emory University, Atlanta, Georgia (United States); Department of Hematology and Medical Oncology, Emory University, Atlanta, Georgia (United States); Belani, Chandra P. [Penn State Hershey Cancer Institute, Pennsylvania University, Hershey, Pennsylvania (United States); and others

2017-01-01

Purpose: To analyze outcomes and predictors associated with proton radiation therapy for non-small cell lung cancer (NSCLC) in the National Cancer Database. Methods and Materials: The National Cancer Database was queried to capture patients with stage I-IV NSCLC treated with thoracic radiation from 2004 to 2012. A logistic regression model was used to determine the predictors for utilization of proton radiation therapy. The univariate and multivariable association with overall survival were assessed by Cox proportional hazards models along with log–rank tests. A propensity score matching method was implemented to balance baseline covariates and eliminate selection bias. Results: A total of 243,822 patients (photon radiation therapy: 243,474; proton radiation therapy: 348) were included in the analysis. Patients in a ZIP code with a median income of <$46,000 per year were less likely to receive proton treatment, with the income cohort of $30,000 to $35,999 least likely to receive proton therapy (odds ratio 0.63 [95% confidence interval (CI) 0.44-0.90]; P=.011). On multivariate analysis of all patients, non-proton therapy was associated with significantly worse survival compared with proton therapy (hazard ratio 1.21 [95% CI 1.06-1.39]; P<.01). On propensity matched analysis, proton radiation therapy (n=309) was associated with better 5-year overall survival compared with non-proton radiation therapy (n=1549), 22% versus 16% (P=.025). For stage II and III patients, non-proton radiation therapy was associated with worse survival compared with proton radiation therapy (hazard ratio 1.35 [95% CI 1.10-1.64], P<.01). Conclusions: Thoracic radiation with protons is associated with better survival in this retrospective analysis; further validation in the randomized setting is needed to account for any imbalances in patient characteristics, including positron emission tomography–computed tomography staging.

Predictors of In-Hospital Death After Aneurysmal Subarachnoid Hemorrhage: Analysis of a Nationwide Database (Swiss SOS [Swiss Study on Aneurysmal Subarachnoid Hemorrhage]).

Science.gov (United States)

Stienen, Martin Nikolaus; Germans, Menno; Burkhardt, Jan-Karl; Neidert, Marian C; Fung, Christian; Bervini, David; Zumofen, Daniel; Röthlisberger, Michel; Marbacher, Serge; Maduri, Rodolfo; Robert, Thomas; Seule, Martin A; Bijlenga, Philippe; Schaller, Karl; Fandino, Javier; Smoll, Nicolas R; Maldaner, Nicolai; Finkenstädt, Sina; Esposito, Giuseppe; Schatlo, Bawarjan; Keller, Emanuela; Bozinov, Oliver; Regli, Luca

2018-02-01

To identify predictors of in-hospital mortality in patients with aneurysmal subarachnoid hemorrhage and to estimate their impact. Retrospective analysis of prospective data from a nationwide multicenter registry on all aneurysmal subarachnoid hemorrhage cases admitted to a tertiary neurosurgical department in Switzerland (Swiss SOS [Swiss Study on Aneurysmal Subarachnoid Hemorrhage]; 2009-2015). Both clinical and radiological independent predictors of in-hospital mortality were identified, and their effect size was determined by calculating adjusted odds ratios (aORs) using multivariate logistic regression. Survival was displayed using Kaplan-Meier curves. Data of n=1866 aneurysmal subarachnoid hemorrhage patients in the Swiss SOS database were available. In-hospital mortality was 20% (n=373). In n=197 patients (10.6%), active treatment was discontinued after hospital admission (no aneurysm occlusion attempted), and this cohort was excluded from analysis of the main statistical model. In the remaining n=1669 patients, the rate of in-hospital mortality was 13.9% (n=232). Strong independent predictors of in-hospital mortality were rebleeding (aOR, 7.69; 95% confidence interval, 3.00-19.71; P <0.001), cerebral infarction attributable to delayed cerebral ischemia (aOR, 3.66; 95% confidence interval, 1.94-6.89; P <0.001), intraventricular hemorrhage (aOR, 2.65; 95% confidence interval, 1.38-5.09; P =0.003), and new infarction post-treatment (aOR, 2.57; 95% confidence interval, 1.43-4.62; P =0.002). Several-and among them modifiable-factors seem to be associated with in-hospital mortality after aneurysmal subarachnoid hemorrhage. Our data suggest that strategies aiming to reduce the risk of rebleeding are most promising in patients where active treatment is initially pursued. URL: http://www.clinicaltrials.gov. Unique identifier: NCT03245866. © 2018 American Heart Association, Inc.

Fournier's gangrene: review of 120 patients and predictors of mortality.

Science.gov (United States)

Yılmazlar, Tuncay; Işık, Özgen; Öztürk, Ersin; Özer, Ali; Gülcü, Barış; Ercan, İlker

2014-09-01

Fournier's gangrene (FG) is a devastating and potentially fatal disease requiring prompt and aggressive debridement. In this study, it was aimed to assess the predictors of mortality in a large cohort. Prospectively maintained data of patients with FG were analyzed. Demographic data, duration of symptoms, Uludag Fournier's Gangrene Severity Index (UFGSI) scores, co-morbidities [particularly diabetes mellitus (DM)], etiologies, number of debridement, stoma requirements, length of intensive care unit and hospital stay, and morbidity and mortality rates were reviewed. Multivariate analysis was performed in order to determine factors affecting mortality. 120 patients (81 males) were included in the study. Median age was 58 (22-85) years. UFGSI score was median 9 (1-30). DM was present in 69 (57.5%) patients. Etiology of FG was perianal in fifty-nine, urogenital in 52, and skin in 9 patients. Median debridement count was 3 (1-12). Thirty-one patients required stoma. Forty-eight patients were admitted to intensive care unit and 25 patients required mechanical ventilation. Overall mortality rate was 20.8%. Multivariate analysis revealed UFGSI as the only predictor of mortality (p=0.001). Mortality rate was 13.64 times higher for patients with a UFGSI score of 9 or higher. Fournier's gangrene is a mortal disease requiring emergency surgery. UFGSI is an efficient predictor of mortality for patients with FG.

Insight, rumination, and self-reflection as predictors of well-being.

Science.gov (United States)

Harrington, Rick; Loffredo, Donald A

2011-01-01

Dispositional private self-focused attention variables such as insight, internal self-awareness (ISA), and self-reflectiveness (SR) have been found to relate to well-being. The present study sought to determine which dispositional private self-focused attention variables have the most predictive power for subjective well-being as measured by the Satisfaction With Life Scale (E. Diener, R. A. Emmons, R. J. Larsen, & S. Griffin, 1985) and for a eudaemonic form of well-being as measured by the Psychological Well-Being Scale (C. D. Ryff, 1989). A total of 121 college student participants completed an online version of the Self-Consciousness Scale-Revised, the Rumination-Reflection Questionnaire, the Self-Reflection and Insight Scale, the Satisfaction With Life Scale, and the Psychological WellBeing Scale. Results of a multivariate regression analysis using the Self-Consciousness Scale-Revised's (M. F. Scheier & C. S. Carver, 1985) subfactors of SR and ISA, the Rumination-Reflection Questionnaire's (P. D. Trapnell & J. D. Campbell, 1999) subscales of Rumination and Reflection, and the Self-Reflection and Insight Scale's (A. M. Grant, J. Franklin, & P. Langford, 2002) Self-Reflection and Insight subscales revealed that the Insight subscale was the only statistically significant predictor (a positive predictor) for all 6 dimensions of psychological well-being. Insight was also the only significant positive predictor for satisfaction with life. The Rumination subscale was a significant negative predictor for 3 dimensions of psychological well-being, and the Reflection subscale was a significant positive predictor for 1 dimension. Implications of dispositional self-awareness variables and their relation to dimensions of well-being are discussed.

Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon.

Science.gov (United States)

Saleh, Shadi; Mourad, Yara; Dimassi, Hani; Hitti, Eveline

2016-03-18

As health care costs continue to increase worldwide, health care systems, and more specifically hospitals are facing continuous pressure to operate more efficiently. One service within the hospital sector whose cost structure has been modestly investigated is the Emergency Department (ED). The study aims to report on the distribution of ED resource use, as expressed in charges, and to determine predictors of/contributors to total ED charges at a major tertiary hospital in Lebanon. The study used data extracted from the ED discharge database for visits between July 31, 2012 and July 31, 2014. Patient visit bills were reported under six major categories: solutions, pharmacy, laboratory, physicians, facility, and radiology. Characteristics of ED visits were summarized according to patient gender, age, acuity score, and disposition. Univariate and multivariate analyses were conducted with total charges as the dependent variable. Findings revealed that the professional fee (40.9 %) followed by facility fee (26.1 %) accounted for the majority of the ED charges. While greater than 80 % of visit charges went to physician and facility fee for low acuity cases, these contributed to only 52 and 54 % of the high acuity presentations where ancillary services and solutions' contribution to the total charges increased. The total charges for males were $14 higher than females; age was a predictor of higher charges with total charges of patients greater than 60 years of age being around $113 higher than ages 0-18 after controlling for all other variables. Understanding the components and determinants of ED charges is essential to developing cost-containment interventions. Institutional modeling of charging patterns can be used to offer price estimates to ED patients who request this information and ultimately help create market competition to drive down costs.

Problem coping skills, psychosocial adversities and mental health problems in children and adolescents as predictors of criminal outcomes in young adulthood.

Science.gov (United States)

Aebi, Marcel; Giger, Joël; Plattner, Belinda; Metzke, Christa Winkler; Steinhausen, Hans-Christoph

2014-05-01

The purpose of this study was to test child and adolescent psychosocial and psychopathological risk factors as predictors of adult criminal outcomes in a Swiss community sample. In particular, the role of active and avoidant problem coping in youths was analysed. Prevalence rates of young adult crime convictions based on register data were calculated. Univariate and multivariate logistic regressions were used to analyse the prediction of adult criminal convictions 15 years after assessment in a large Swiss community sample of children and adolescents (n = 1,086). Risk factors assessed in childhood and adolescence included socio-economic status (SES), migration background, perceived parental behaviour, familial and other social stressors, coping styles, externalizing and internalizing problems and drug abuse including problematic alcohol consumption. The rate of any young adult conviction was 10.1 %. Besides externalizing problems and problematic alcohol consumption, the presence of any criminal conviction in young adulthood was predicted by low SES and avoidant coping even after controlling for the effects of externalizing problems and problematic alcohol use. The other predictors were significant only when externalizing behaviours and problematic alcohol use were not controlled. In addition to child and adolescent externalizing behaviour problems and substance use, low SES and inadequate problem-solving skills, in terms of avoidant coping, are major risk factors of young adult criminal outcomes and need to be considered in forensic research and criminal prevention programs.

Recent predictors of Indian summer monsoon based on Indian and Pacific Ocean SST

Science.gov (United States)

Shahi, Namendra Kumar; Rai, Shailendra; Mishra, Nishant

2018-02-01

This study investigates the relationship between sea surface temperature (SST) of various geographical locations of Indian and Pacific Ocean with the Indian summer monsoon rainfall (ISMR) to identify possible predictors of ISMR. We identified eight SST predictors based on spatial patterns of correlation coefficients between ISMR and SST of the regions mentioned above during the time domain 1982-2013. The five multiple linear regression (MLR) models have been developed by these predictors in various combinations. The stability and performance of these MLR models are verified using cross-validation method and other statistical methods. The skill of forecast to predict observed ISMR from these MLR models is found to be substantially better based on various statistical verification measures. It is observed that the MLR models constructed using the combination of SST indices in tropical and extra tropical Indian and Pacific is able to predict ISMR accurately for almost all the years during the time domain of our study. We tried to propose the physical mechanism of the teleconnection through regression analysis with wind over Indian subcontinent and the eight predictors and the results are in the conformity with correlation coefficient analysis. The robustness of these models is seen by predicting the ISMR during recent independent years of 2014-2017 and found the model 5 is able to predict ISMR accurately in these years also.

Predictors of dental anxiety in Brazilian 5-7 years old children

DEFF Research Database (Denmark)

Soares, Fernanda Cunha; Lima, R. A.; Santos, Carolina da Franca Bandeira Ferreira

2016-01-01

Objectives: The aim of this study was to analyze the predictors of dental anxiety in 5 to 7-year-old children in a two years follow-up. Materials and methods: This is a longitudinal study conducted with 784 children with 5 to 7 years old. A face-to-face interview was conducted with the parents....... The Dental Anxiety Question (DAQ) answers were categorized as presence or absence of dental anxiety. The possible predictor factors analyzed were: related to the children (age, sex, parentage, childbirth, physical activity, body satisfaction, psychological well-being, physical well-being, dentist visit......); and related to the parents or guardians (excessive alcohol consumption, smoke, family income, number of children). Forward stepwise logistic binary regression was performed for the multivariate analysis. The analysis was controlled by gender. Results: The prevalence of dental anxiety was 17.4%. Children...

One-leg balance is an important predictor of injurious falls in older persons.

Science.gov (United States)

Vellas, B J; Wayne, S J; Romero, L; Baumgartner, R N; Rubenstein, L Z; Garry, P J

1997-06-01

To test the hypothesis that one-leg balance is a significant predictor of falls and injurious falls. Analysis of data from a longitudinal cohort study. Healthy, community-living volunteers older than age 60 enrolled in the Albuquerque Falls Study and followed for 3 years (N = 316; mean age 73 years). Falls and injurious falls detected via reports every other month. Baseline measures of demographics, history, physical examination, Iowa Self Assessment Inventory, balance and gait assessment, and one-leg balance (ability to stand unassisted for 5 seconds on one leg). At baseline, 84.5% of subjects could perform one-leg balance. (Impairment was associated with older age and gait abnormalities.) Over the 3-year follow-up, 71% experienced a fall and 22% an injurious fall. The only independent significant predictor of all falls using logistic regression was age greater than 73. However, impaired one-leg balance was the only significant independent predictor of injurious falls (relative risk: 2.13; 95% CI: 1.04, 4.34; P = .03). One-leg balance appears to be a significant and easy-to-administer predictor of injurious falls, but not of all falls. In our study, it was the strongest individual predictor. However, no single factor seems to be accurate enough to be relied on as a sole predictor of fall risk or fall injury risk because so many diverse factors are involved in falling.

Prognostic value of the neutrophil to lymphocyte ratio in lung cancer: A meta-analysis.

Science.gov (United States)

Yin, Yongmei; Wang, Jun; Wang, Xuedong; Gu, Lan; Pei, Hao; Kuai, Shougang; Zhang, Yingying; Shang, Zhongbo

2015-07-01

Recently, a series of studies explored the correlation between the neutrophil to lymphocyte ratio and the prognosis of lung cancer. However, the current opinion regarding the prognostic role of the neutrophil to lymphocyte ratio in lung cancer is inconsistent. We performed a meta-analysis of published articles to investigate the prognostic value of the neutrophil to lymphocyte ratio in lung cancer. The hazard ratio (HR) and its 95% confidence interval (CI) were calculated. An elevated neutrophil to lymphocyte ratio predicted worse overall survival, with a pooled HR of 1.243 (95%CI: 1.106-1.397; P(heterogeneity)=0.001) from multivariate studies and 1.867 (95%CI: 1.487-2.344; P(heterogeneity)=0.047) from univariate studies. Subgroup analysis showed that a high neutrophil to lymphocyte ratio yielded worse overall survival in non-small cell lung cancer (NSCLC) (HR=1.192, 95%CI: 1.061-1.399; P(heterogeneity)=0.003) as well as small cell lung cancer (SCLC) (HR=1.550, 95% CI: 1.156-2.077; P(heterogeneity)=0.625) in multivariate studies. The synthesized evidence from this meta-analysis of published articles demonstrated that an elevated neutrophil to lymphocyte ratio was a predictor of poor overall survival in patients with lung cancer.

Dysfunctional Career Thoughts and Attitudes as Predictors of Vocational Identity among Young Adults with Attention Deficit Hyperactivity Disorder

Science.gov (United States)

Dipeolu, Abiola; Sniatecki, Jessica L.; Storlie, Cassandra A.; Hargrave, Stephanie

2013-01-01

This study examined dysfunctional career thoughts and attitudes as predictors of vocational identity among high school students with Attention Deficit Hyperactivity Disorder (ADHD). Regression analysis results indicated that dysfunctional career thoughts and attitudes were significant predictors of vocational identity, accounting for 42% of the…

Predictors of Onset of Wheezing in Grain Elevator Workers

Directory of Open Access Journals (Sweden)

Punam Pahwa

1998-01-01

Full Text Available A longitudinal study of Canadian grain elevator workers over a 12-year period was conducted. Data on respiratory symptoms and pulmonary function tests were collected once every three years as part of the Grain Dust Medical Surveillance Program started by Labour Canada in 1978; each three-year interval was called a 'cycle'. Of workers who had two or more observations, 1848 subjects (67.2% were free of respiratory symptoms (wheeze, dyspnea, cough or sputum at the baseline (cycle II. Predictors of first episode of wheezing were examined in these symptoms-free grain workers. Baseline mean age ± SD of the grain workers was 34.0±11.4 years and mean duration of work in the industry was 9.9±8.7 years. Of the 1848 symptoms-free grain workers at cycle II, 203 (11.0% subsequently reported wheezing during the study. Cox's proportional hazards model for analysis of survival data was used to determine significant predictors of first episode of wheezing. Significant predictors for first episode of wheezing were current smoking (relative risk [RR] 2.33; 95% CI 1.63 to 3.33; P<0.0001 and baseline forced expiratory volume in 1 s to forced vital capacity ratio [RR 0.02; 95% CI 0.003 to 0.20; P<0.0001. Baseline pulmonary function measurements and smoking habits appear to be important predictors of future development of asthma-like symptoms in grain elevator workers.

[Hepatobiliary System Diseases as the Predictors of Psoriasis Progression].

Science.gov (United States)

Smirnova, S V; Barilo, A A; Smolnikova, M V

2016-01-01

To assess the state of the hepatobiliary system in psoriasis andpsoriatic arthritis in order to establish a causal relationship and to identify clinical and functional predictors of psoriatic disease progression. The study includedpatients with extensive psoriasis vulgaris (n = 175) aged 18 to 66 years old and healthy donors (n = 30), matched by sex and age: Group 1--patients with psoriasis (PS, n = 77), group 2--patients with psoriatic arthritis (PsA, n = 98), group 3--control. The evaluation of functional state of the hepatobiliary system was performed by the analysis of the clinical and anamnestic data and by the laboratory-instrumental methods. We identified predictors of psoriasis: triggers (stress and nutritionalfactor), increased total bilirubin, aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, eosinophilia, giardiasis, carriers of hepatitis C virus, ductal changes andfocal leisons in the liver, thickening of the walls of the gallbladder detected by ultrasound. Predictors ofpsoriatic arthritis: age over 50 years, dyspeptic complaints, the presence of hepatobiliary system diseases, the positive right hypochondrium syndrome, the clinical symptoms of chronic cholecystitis, excess body weight, high levels of bilirubin, cholesterol and low density lipoprotein, hepatomegaly, non-alcoholic fatty liver disease. High activity of hepatocytes cytolysis, cholestasis, inflammation, metabolic disorders let us considerpsoriatic arthritis as a severe clinical stage psoriatic disease when the hepatobiliary system, in turn, is one of the main target organs in systemic psoriatic process. Non-alcoholic fatty liver disease and chronic cholecystitis are predictors of psoriatic disease progression.

Temperature and Humidity Effects on Hospital Morbidity in Darwin, Australia.

Science.gov (United States)

Goldie, James; Sherwood, Steven C; Green, Donna; Alexander, Lisa

2015-01-01

Many studies have explored the relationship between temperature and health in the context of a changing climate, but few have considered the effects of humidity, particularly in tropical locations, on human health and well-being. To investigate this potential relationship, this study assessed the main and interacting effects of daily temperature and humidity on hospital admission rates for selected heat-relevant diagnoses in Darwin, Australia. Univariate and bivariate Poisson generalized linear models were used to find statistically significant predictors and the admission rates within bins of predictors were compared to explore nonlinear effects. The analysis indicated that nighttime humidity was the most statistically significant predictor (P < 0.001), followed by daytime temperature and average daily humidity (P < 0.05). There was no evidence of a significant interaction between them or other predictors. The nighttime humidity effect appeared to be strongly nonlinear: Hot days appeared to have higher admission rates when they were preceded by high nighttime humidity. From this analysis, we suggest that heat-health policies in tropical regions similar to Darwin need to accommodate the effects of temperature and humidity at different times of day. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Value of computed tomography as outcome predictor of supraglottic squamous cell carcinoma treated by definitive radiation therapy

International Nuclear Information System (INIS)

Hermans, Robert; Bogaert, Walter van den; Rijnders, Alexis; Baert, Albert L.

1999-01-01

Purpose: To investigate the value of several CT-derived tumor parameters as predictors of local outcome of supraglottic squamous cell carcinoma treated by definitive radiation therapy. Methods and Materials: The pretreatment CT studies of 103 patients with supraglottic squamous cell carcinoma were reviewed for tumoral involvement of specific laryngeal anatomic subsites and extralaryngeal tumor spread. After redigitizing the films, tumor volume was calculated with the summation-of-areas technique. Mean follow-up time was 3.4 years. Actuarial statistical analysis of local and locoregional outcome was done for each of the covariates; multivariate analysis was performed using Cox's proportional hazards model. Results: In the actuarial analysis CT-determined primary tumor volume was significantly correlated with local recurrence rate (p < 0.001). Degree of involvement of the paraglottic space at the level of the true vocal cord (p < 0.05) and subglottic extension (p < 0.001) were also significantly correlated with local recurrence rate. In the multivariate analysis, only degree of involvement of the preepiglottic space (p < 0.01) and subglottic extension (p < 0.01) were found to be independent predictors of local recurrence. Total tumor volume was the strongest independent predictor of locoregional failure (p < 0.01). Conclusions: CT-determined tumor parameters are strong predictors of local and locoregional outcome of supraglottic carcinoma treated by definitive irradiation

Does shear wave ultrasound independently predict axillary lymph node metastasis in women with invasive breast cancer?

Science.gov (United States)

Evans, Andrew; Rauchhaus, Petra; Whelehan, Patsy; Thomson, Kim; Purdie, Colin A; Jordan, Lee B; Michie, Caroline O; Thompson, Alastair; Vinnicombe, Sarah

2014-01-01

Shear wave elastography (SWE) shows promise as an adjunct to greyscale ultrasound examination in assessing breast masses. In breast cancer, higher lesion stiffness on SWE has been shown to be associated with features of poor prognosis. The purpose of this study was to assess whether lesion stiffness at SWE is an independent predictor of lymph node involvement. Patients with invasive breast cancer treated by primary surgery, who had undergone SWE examination were eligible. Data were retrospectively analysed from 396 consecutive patients. The mean stiffness values were obtained using the Aixplorer® ultrasound machine from SuperSonic Imagine Ltd. Measurements were taken from a region of interest positioned over the stiffest part of the abnormality. The average of the mean stiffness value obtained from each of two orthogonal image planes was used for analysis. Associations between lymph node involvement and mean lesion stiffness, invasive cancer size, histologic grade, tumour type, ER expression, HER-2 status and vascular invasion were assessed using univariate and multivariate logistic regression. At univariate analysis, invasive size, histologic grade, HER-2 status, vascular invasion, tumour type and mean stiffness were significantly associated with nodal involvement. Nodal involvement rates ranged from 7 % for tumours with mean stiffness 150 kPa. At multivariate analysis, invasive size, tumour type, vascular invasion, and mean stiffness maintained independent significance. Mean stiffness at SWE is an independent predictor of lymph node metastasis and thus can confer prognostic information additional to that provided by conventional preoperative tumour assessment and staging.

Age is no barrier: predictors of academic success in older learners

Science.gov (United States)

Imlach, Abbie-Rose; Ward, David D.; Stuart, Kimberley E.; Summers, Mathew J.; Valenzuela, Michael J.; King, Anna E.; Saunders, Nichole L.; Summers, Jeffrey; Srikanth, Velandai K.; Robinson, Andrew; Vickers, James C.

2017-11-01

Although predictors of academic success have been identified in young adults, such predictors are unlikely to translate directly to an older student population, where such information is scarce. The current study aimed to examine cognitive, psychosocial, lifetime, and genetic predictors of university-level academic performance in older adults (50-79 years old). Participants were mostly female (71%) and had a greater than high school education level (M = 14.06 years, SD = 2.76), on average. Two multiple linear regression analyses were conducted. The first examined all potential predictors of grade point average (GPA) in the subset of participants who had volunteered samples for genetic analysis (N = 181). Significant predictors of GPA were then re-examined in a second multiple linear regression using the full sample (N = 329). Our data show that the cognitive domains of episodic memory and language processing, in conjunction with midlife engagement in cognitively stimulating activities, have a role in predicting academic performance as measured by GPA in the first year of study. In contrast, it was determined that age, IQ, gender, working memory, psychosocial factors, and common brain gene polymorphisms linked to brain function, plasticity and degeneration (APOE, BDNF, COMT, KIBRA, SERT) did not influence academic performance. These findings demonstrate that ageing does not impede academic achievement, and that discrete cognitive skills as well as lifetime engagement in cognitively stimulating activities can promote academic success in older adults.

Acute exacerbation of idiopathic pulmonary fibrosis: high-resolution CT scores predict mortality

International Nuclear Information System (INIS)

Fujimoto, Kiminori; Taniguchi, Hiroyuki; Kondoh, Yasuhiro; Kataoka, Kensuke; Johkoh, Takeshi; Ichikado, Kazuya; Sumikawa, Hiromitsu; Ogura, Takashi; Endo, Takahiro; Kawaguchi, Atsushi; Mueller, Nestor L.

2012-01-01

To determine high-resolution computed tomography (HRCT) findings helpful in predicting mortality in patients with acute exacerbation of idiopathic pulmonary fibrosis (AEx-IPF). Sixty patients with diagnosis of AEx-IPF were reviewed retrospectively. Two groups (two observers each) independently evaluated pattern, distribution, and extent of HRCT findings at presentation and calculated an HRCT score at AEx based on normal attenuation areas and extent of abnormalities, such as areas of ground-glass attenuation and/or consolidation with or without traction bronchiectasis or bronchiolectasis and areas of honeycombing. The correlation between the clinical data including the HRCT score and mortality (cause-specific survival) was evaluated using the univariate and multivariate Cox-regression analyses. Serum KL-6 level, PaCO 2 , and the HRCT score were statistically significant predictors on univariate analysis. Multivariate analysis revealed that the HRCT score was an independently significant predictor of outcome (hazard ratio, 1.13; 95% confidence interval, 1.06-1.19, P = 0.0002). The area under receiver operating characteristics curve for the HRCT score was statistically significant in the classification of survivors or nonsurvivors (0.944; P < 0.0001). Survival in patients with HRCT score ≥245 was worse than those with lower score (log-rank test, P < 0.0001). The HRCT score at AEx is independently related to prognosis in patients with AEx-IPF. (orig.)

Magnitude and Determinants of the Ratio between Prevalence of Low Vision and Blindness in Rapid Assessment of Avoidable Blindness Surveys.

Science.gov (United States)

Kaphle, Dinesh; Lewallen, Susan

2017-10-01

To determine the magnitude and determinants of the ratio between prevalence of low vision and prevalence of blindness in rapid assessment of avoidable blindness (RAAB) surveys globally. Standard RAAB reports were downloaded from the repository or requested from principal investigators. Potential predictor variables included prevalence of uncorrected refractive error (URE) as well as gross domestic product (GDP) per capita, health expenditure per capita of the country across World Bank regions. Univariate and multivariate linear regression were used to investigate the correlation between potential predictor variables and the ratio. The results of 94 surveys from 43 countries showed that the ratio ranged from 1.35 in Mozambique to 11.03 in India with a median value of 3.90 (Interquartile range 3.06;5.38). Univariate regression analysis showed that prevalence of URE (p = 0.04), logarithm of GDP per capita (p = 0.01) and logarithm of health expenditure per capita (p = 0.03) were significantly associated with the higher ratio. However, only prevalence of URE was found to be significant in multivariate regression analysis (p = 0.03). There is a wide variation in the ratio of the prevalence of low vision to the prevalence of blindness. Eye care service utilization indicators such as the prevalence of URE may explain some of the variation across the regions.

Acute exacerbation of idiopathic pulmonary fibrosis: high-resolution CT scores predict mortality

Energy Technology Data Exchange (ETDEWEB)

Fujimoto, Kiminori [Kurume University School of Medicine, and Center for Diagnostic Imaging, Kurume University Hospital, Department of Radiology, Kurume, Fukuoka (Japan); Taniguchi, Hiroyuki; Kondoh, Yasuhiro; Kataoka, Kensuke [Tosei General Hospital, Department of Respiratory Medicine and Allergy, Seto, Aichi (Japan); Johkoh, Takeshi [Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Department of Radiology, Itami (Japan); Ichikado, Kazuya [Saiseikai Kumamoto Hospital, Division of Respiratory Medicine, Kumamoto (Japan); Sumikawa, Hiromitsu [Osaka University Graduate School of Medicine, Department of Radiology, Suita, Osaka (Japan); Ogura, Takashi; Endo, Takahiro [Kanagawa Cardiovascular and Respiratory Center, Department of Respiratory Medicine, Yokohama, Kanagawa (Japan); Kawaguchi, Atsushi [Kurume University School of Medicine, Biostatistics Center, Kurume (Japan); Mueller, Nestor L. [University of British Columbia and Vancouver General Hospital, Department of Radiology, Vancouver, B.C. (Canada)

2012-01-15

To determine high-resolution computed tomography (HRCT) findings helpful in predicting mortality in patients with acute exacerbation of idiopathic pulmonary fibrosis (AEx-IPF). Sixty patients with diagnosis of AEx-IPF were reviewed retrospectively. Two groups (two observers each) independently evaluated pattern, distribution, and extent of HRCT findings at presentation and calculated an HRCT score at AEx based on normal attenuation areas and extent of abnormalities, such as areas of ground-glass attenuation and/or consolidation with or without traction bronchiectasis or bronchiolectasis and areas of honeycombing. The correlation between the clinical data including the HRCT score and mortality (cause-specific survival) was evaluated using the univariate and multivariate Cox-regression analyses. Serum KL-6 level, PaCO{sub 2}, and the HRCT score were statistically significant predictors on univariate analysis. Multivariate analysis revealed that the HRCT score was an independently significant predictor of outcome (hazard ratio, 1.13; 95% confidence interval, 1.06-1.19, P = 0.0002). The area under receiver operating characteristics curve for the HRCT score was statistically significant in the classification of survivors or nonsurvivors (0.944; P < 0.0001). Survival in patients with HRCT score {>=}245 was worse than those with lower score (log-rank test, P < 0.0001). The HRCT score at AEx is independently related to prognosis in patients with AEx-IPF. (orig.)

Childhood Depression: Relation to Adaptive, Clinical and Predictor Variables

Directory of Open Access Journals (Sweden)

Maite Garaigordobil

2017-05-01

Full Text Available The study had two goals: (1 to explore the relations between self-assessed childhood depression and other adaptive and clinical variables (2 to identify predictor variables of childhood depression. Participants were 420 students aged 7–10 years old (53.3% boys, 46.7% girls. Results revealed: (1 positive correlations between depression and clinical maladjustment, school maladjustment, emotional symptoms, internalizing and externalizing problems, problem behaviors, emotional reactivity, and childhood stress; and (2 negative correlations between depression and personal adaptation, global self-concept, social skills, and resilience (sense of competence and affiliation. Linear regression analysis including the global dimensions revealed 4 predictors of childhood depression that explained 50.6% of the variance: high clinical maladjustment, low global self-concept, high level of stress, and poor social skills. However, upon introducing the sub-dimensions, 9 predictor variables emerged that explained 56.4% of the variance: many internalizing problems, low family self-concept, high anxiety, low responsibility, low personal self-assessment, high social stress, few aggressive behaviors toward peers, many health/psychosomatic problems, and external locus of control. The discussion addresses the importance of implementing prevention programs for childhood depression at early ages.

Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: A nationwide analysis.

Science.gov (United States)

Shah, Rushikesh; Haydek, Christopher; Mulki, Ramzi; Qayed, Emad

2018-04-23

Patients with chronic pancreatitis are prone to frequent readmissions. The aim of this study is to evaluate the rate and predictors of 30-day readmissions in patients with chronic pancreatitis using the Nationwide Readmission Database (NRD). We performed a retrospective analysis of all adult patients with the principal discharge diagnosis of chronic pancreatitis from 2010 through 2014. We excluded patients who died during the hospitalization. Multivariate Cox proportional hazard regression was performed to identify demographic, clinical, and hospital factors that associated with 30-day unplanned readmissions. During the study period, 25,259 patients had the principal discharge diagnosis of chronic pancreatitis and survived the index hospitalization. Of these, 6477 (26.7%) were readmitted within 30 days. Younger age group, males, length of stay >5 days, admission to a large, metropolitan hospital, and several comorbidities (renal failure, rheumatic disease, chronic anemia, heart failure, depression, drug abuse, psychosis, and diabetes) were independently associated with increased risk of 30-day readmission. ERCP, pancreatic surgery, and obesity were associated with lower risk. The most common reasons for readmissions were acute pancreatitis (30%), chronic pancreatitis (17%), pseudocyst (2%), and abdominal pain (6%). One in four patients with chronic pancreatitis is readmitted within 30 days (26.7%). Pancreatic disease accounts for at least half of all readmissions. Several baseline comorbidities and characteristics are associated with 30-day readmission risk after index admission. Knowledge of these predictors can help design interventions to target high-risk patients and reduce readmissions and costs of care. Copyright © 2018 IAP and EPC. Published by Elsevier B.V. All rights reserved.

El estrato socioeconómico como factor predictor del uso constante de condón en adolescentes Socioeconomic strata as a predictor factor for consistent condom use among adolescents

Directory of Open Access Journals (Sweden)

Ramiro Caballero Hoyos

2001-12-01

Full Text Available OBJETIVO: El estrato socioeconómico juega un rol importante en las desigualdades en salud. En México, la prevalencia más alta de casos de SIDA se encuentra en población de estratos más bajos. El propósito de lo estudio fue describir el estrato socioeconómico (ajustado por variables psicosociales, situacionales y demográficas como un factor predictor del uso consistente del condón, en adolescentes. MÉTODOS: Se incluyó en el estudio una muestra de una encuesta previa aplicada a 1.410 adolescentes de 15 a 19 años y estratificada por edad, género y estrato socioeconómico de Guadalajara, México. El análisis fue aplicado sobre los 251 adolescentes que reportaron actividad sexual. El análisis estadístico se realizó mediante Ji Cuadrada, t-test, ANOVA y regresión logística. RESULTADOS: La frecuencia de uso consistente de condón fue 30,7% y hubo una prevalencia de uso irregular. El estrato socioeconómico alto fue el principal predictor (OR= 11,1, CI95%= 2,6-47,6. Otros predictores significativos fueron el género masculino, el soporte de los pares y el nivel alto de conocimientos sobre VIH/SIDA. CONCLUSIÓN: El estrato socioeconómico es un importante factor predictor del uso consistente del condón.INTRODUCTION: Socioeconomic level plays an important role in health inequalities. In Mexico, the highest prevalence of AIDS cases is among individuals of lower socioeconomic level. The purpose of the study was to describe the socioeconomic level (adjusted for psychosocial, situational and demographic variables as a predictor factor for the consistent condom use among adolescents of Guadalajara, Mexico. METHODS: A sample of 1,410 adolescents, aged 15 to 19 years, drawn from a previous survey stratified by age, gender and socioeconomic strata was included in the study. Analysis was performed in 251 adolescents who reported sexual activity. Statistical analysis was performed using Chi-square, t-test, ANOVA, and logistic regression. RESULTS

Nutritional parameters as mortality predictors in haemodialysis: Differences between genders.

Science.gov (United States)

Oliveira, Telma Sobral; Valente, Ana Tentúgal; Caetano, Cristina Guerreiro; Garagarza, Cristina Antunes

2017-06-01

Malnutrition is common in patients undergoing haemodialysis (HD). Several studies have described different nutritional parameters as mortality predictors but few have studied whether there are differences between genders. This study aimed to evaluate which nutrition parameters may be associated with mortality in patients undergoing long-term HD depending on their gender. Longitudinal prospective multicentre study with 12 months of follow-up. Anthropometric and laboratory measures were obtained from 697 patients. Men who died were older, had lower dry weight, body mass index, potassium, phosphorus and albumin, compared with male patients who survived. Female patients who died had lower albumin and nPCR compared with survivors. Kaplan-Meier analysis displayed a significantly worse survival in patients with albumin mortality was related to body mass index mortality risk continued to be significant after adjustments for age, length of time on dialysis and diabetes for males. However, in women, only albumin persisted as an independent predictor of death. Depending on the gender, different parameters such as protein intake, potassium, phosphorus, body mass index and albumin are associated with mortality in patients undergoing HD. Albumin mortality predictor in both genders, whereas a body mass index <23 kg/m 2 is an independent predictor of death, but only in men. © 2017 European Dialysis and Transplant Nurses Association/European Renal Care Association.

Mind matters: A meta-analysis on parental mentalization and sensitivity as predictors of infant-parent attachment.

Science.gov (United States)

Zeegers, Moniek A J; Colonnesi, Cristina; Stams, Geert-Jan J M; Meins, Elizabeth

2017-12-01

Major developments in attachment research over the past 2 decades have introduced parental mentalization as a predictor of infant-parent attachment security. Parental mentalization is the degree to which parents show frequent, coherent, or appropriate appreciation of their infants' internal states. The present study examined the triangular relations between parental mentalization, parental sensitivity, and attachment security. A total of 20 effect sizes (N = 974) on the relation between parental mentalization and attachment, 82 effect sizes (N = 6,664) on the relation between sensitivity and attachment, and 24 effect sizes (N = 2,029) on the relation between mentalization and sensitivity were subjected to multilevel meta-analyses. The results showed a pooled correlation of r = .30 between parental mentalization and infant attachment security, and rs of .25 for the correlations between sensitivity and attachment security, and between parental mentalization and sensitivity. A meta-analytic structural equation model was performed to examine the combined effects of mentalization and sensitivity as predictors of infant attachment. Together, the predictors explained 12% of the variance in attachment security. After controlling for the effect of sensitivity, the relation between parental mentalization and attachment remained, r = .24; the relation between sensitivity and attachment remained after controlling for parental mentalization, r = .19. Sensitivity also mediated the relation between parental mentalization and attachment security, r = .07, suggesting that mentalization exerts both direct and indirect influences on attachment security. The results imply that parental mentalization should be incorporated into existing models that map the predictors of infant-parent attachment. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Clinical predictors of central sleep apnea evoked by positive airway pressure titration

Directory of Open Access Journals (Sweden)

Moro M

2016-07-01

Full Text Available Marilyn Moro,1 Karen Gannon,1 Kathy Lovell,1 Margaret Merlino,1 James Mojica,2 Matt T Bianchi,1,3 1Neurology Department, 2Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA; 3Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA Purpose: Treatment-emergent central sleep apnea (TECSA, also called complex apnea, occurs in 5%–15% of sleep apnea patients during positive airway pressure (PAP therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management.Methods: We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split night; n=306 two-night. Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI ≥5 during split PSG (SN-PSG versus full-night PSG (FN-PSG titrations.Results: CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients.Conclusion: Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the

Predictors of physical activity change among adults using observational designs.

Science.gov (United States)

Rhodes, Ryan E; Quinlan, Alison

2015-03-01

Regular physical activity (PA) is foundational to human health, yet most people are inactive. A sound understanding of the determinants of PA may be instructive for building interventions and/or identifying critical target groups to promote PA. Most research on PA correlates has been biased by cross-sectional or passive prospective designs that fail to examine within-person analysis of PA change. The purpose of this review was to collect and appraise the available literature on the predictors of PA change conceived broadly in terms of increases/decreases from baseline assessment as well as specifically in terms of adoption and maintenance. Eligible studies were from English, peer-reviewed published articles that examined predictors of natural change of PA over 3 months + using observational (non-experimental) data in adult samples. Searches were performed from June 2012 to January 2014 in eight databases. Sixty-seven independent data-sets, from 12 countries, primarily of medium quality/risk of bias, were identified with 26 correlates spanning demographic, behavioral, intra-individual, inter-individual, and environmental categories. Only intention and the onset of motherhood could reliably predict overall PA change. Among datasets configured to predict PA adoption, affective judgments and behavioral processes of change were the only reliable predictors, although both only have a small number of available studies. There were no reliable predictors of maintenance when compared to PA relapse. The results underscore the importance of individual-level motivation and behavioral regulation in PA change, but also denote critical social variables. These findings, however, are constrained by PA measurement bias and limited studies that employed time-varying covariation between predictor variables and PA.

The MMPI as a Predictor of Psychosocial Adaptation to Cancer.

Science.gov (United States)

Sobel, Harry J.; Worden, J. William

1979-01-01

Examined utility of the Minnesota Multiphasic Personality Inventory (MMPI) as a longitudinal predictor of psychosocial adaptation to cancer. A post hoc discriminant analysis revealed that 75% of all patients could have been correctly classified into a high-distressed v a low-distressed cancer patient group using only the MMPI. (Author)

Clinical and epidemiological predictors of transmission in Severe Acute Respiratory Syndrome (SARS

Directory of Open Access Journals (Sweden)

Leong Hoe

2006-10-01

Full Text Available Abstract Background Only a minority of probable SARS cases caused transmission. We assess if any epidemiological or clinical factors in SARS index patients were associated with increased probability of transmission. Methods We used epidemiological and clinical data on probable SARS patients admitted to Tan Tock Seng Hospital. Using a case-control approach, index patients who had probable SARS who subsequently transmitted the disease to at least one other patient were analysed as "cases" against patients with no transmission as "controls", using multivariate logistic regression analysis. Results 98 index patients were available for analysis (22 with transmission, 76 with no transmission. Covariates positively associated with transmission in univariate analysis at p 650 IU/L (OR 6.4, 23.8 and 4.7 respectively. Conclusion Clinical and epidemiological factors can help us to explain why transmission was observed in some instances but not in others.