Soluble Urokinase Plasminogen Activator Receptor Level Is an Independent Predictor of the Presence and Severity of Coronary Artery Disease and of Future Adverse Events

DEFF Research Database (Denmark)

Eapen, Danny J; Manocha, Pankaj; Ghasemzedah, Nima

2014-01-01

(PPPPP...-statistic for a model based on traditional risk factors was improved from 0.72 to 0.74 (P=0.008) with the addition of suPAR. CONCLUSION: Elevated levels of plasma suPAR are associated with the presence and severity of CAD and are independent predictors of death and MI in patients with suspected or known CAD....

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.

Small artery structure is an independent predictor of cardiovascular events in essential hypertension

DEFF Research Database (Denmark)

Mathiassen, Ole Norling; Buus, Niels Henril; Sihm, Inger

2007-01-01

Objective Structural abnormality of resistance arteries is a characteristic pathophysiological phenomenon in essential hypertension and can be assessed in vitro as an increase in the media : lumen ratio (M : L) of isolated small arteries. We have investigated whether M: L is a risk predictor......). Conclusion Abnormal resistance artery structure independently predicts cardiovascular events in essential hypertensive patients at moderate risk. J Hypertens 25:1021-1026 Q 2007 Lippincott Williams & Wilkins. Journal of Hypertension 2007, 25:1021-1026...... in uncomplicated essential hypertensive patients. Recently, high M: L was demonstrated as a prognostic marker in patients at high cardiovascular risk, including normotensive type 2 diabetic patients. Since diabetes is associated with pressure-independent changes in M: L, the relevance of this finding to essential...

Left ventricular long axis function assessed during cine-cardiovascular magnetic resonance is an independent predictor of adverse cardiac events.

Science.gov (United States)

Rangarajan, Vibhav; Chacko, Satish Jacob; Romano, Simone; Jue, Jennifer; Jariwala, Nikhil; Chung, Jaehoon; Farzaneh-Far, Afshin

2016-06-07

Left ventricular pump function requires a complex interplay involving myocardial fibers orientated in the longitudinal, oblique and circumferential directions. Long axis dysfunction appears to be an early marker for a number of pathological states. We hypothesized that mitral annular plane systolic excursion (MAPSE) measured during cine-cardiovascular magnetic resonance (CMR) reflects changes in long axis function and may be an early marker for adverse cardiovascular outcomes. The aims of this study were therefore: 1) To assess the feasibility and reproducibility of MAPSE measurements during routine cine-CMR; and 2) To assess whether MAPSE, as a surrogate for long axis function, is a predictor of major adverse cardiovascular events (MACE). Four hundred consecutive patients undergoing CMR were prospectively enrolled. MAPSE was measured in the 4-chamber cine view. Patients were prospectively followed for major adverse cardiac events (MACE) - death, non-fatal myocardial infarction, hospitalization for heart failure or unstable angina, and late revascularization. Cox proportional hazards regression modeling was used to identify factors independently associated with MACE. Net reclassification improvement (NRI) was calculated to assess whether addition of MAPSE resulted in improved risk reclassification of MACE. Seventy-two MACE occurred during a median follow-up of 14.5 months. By Kaplan-Meier analysis, patients with lateral MAPSE cine-CMR is an independent predictor of MACE.

Increased Visceral Adipose Tissue Is an Independent Predictor for Future Development of Atherogenic Dyslipidemia.

Science.gov (United States)

Hwang, You-Cheol; Fujimoto, Wilfred Y; Hayashi, Tomoshige; Kahn, Steven E; Leonetti, Donna L; Boyko, Edward J

2016-02-01

Atherogenic dyslipidemia is frequently observed in persons with a greater amount of visceral adipose tissue (VAT). However, it is still uncertain whether VAT is independently associated with the future development of atherogenic dyslipidemia. The aim of this study was to determine whether baseline and changes in VAT and subcutaneous adipose tissue (SAT) are associated with future development of atherogenic dyslipidemia independent of baseline lipid levels and standard anthropometric indices. Community-based prospective cohort study with 5 years of follow-up. A total of 452 Japanese Americans (240 men, 212 women), aged 34-75 years were assessed at baseline and after 5 years of follow-up. Abdominal fat areas were measured by computed tomography. Atherogenic dyslipidemia was defined as one or more abnormalities in high-density lipoprotein (HDL) cholesterol, triglycerides, or non-HDL cholesterol levels. Baseline VAT and change in VAT over 5 years were independently associated with log-transformed HDL cholesterol, log-transformed triglyceride, and non-HDL cholesterol after 5 years (standardized β = -0.126, 0.277, and 0.066 for baseline VAT, respectively, and -0.095, 0.223, and 0.090 for change in VAT, respectively). However, baseline and change in SAT were not associated with any future atherogenic lipid level. In multivariate logistic regression analysis, incremental change in VAT (odds ratio [95% confidence interval], 1.73 [1.20-2.48]; P = .003), triglycerides (4.01 [1.72-9.33]; P = .001), HDL cholesterol (0.32 [0.18-0.58]; P dyslipidemia independent of age, sex, diastolic blood pressure, homeostasis model assessment insulin resistance, body mass index (BMI), change in BMI, SAT, and baseline atherogenic lipid levels. Baseline and change in VAT were independent predictors for future development of atherogenic dyslipidemia. However, BMI, waist circumference, and SAT were not associated with future development of atherogenic dyslipidemia.

Left ventricular dyssynchrony assessed by gated SPECT phase analysis is an independent predictor of death in patients with advanced coronary artery disease and reduced left ventricular function not undergoing cardiac resynchronization therapy

Energy Technology Data Exchange (ETDEWEB)

Uebleis, Christopher; Hellweger, Stefan; Lehner, Sebastian; Haug, Alexander; Bartenstein, Peter; Cumming, Paul; Hacker, Marcus [Ludwig-Maximilians University, Department of Nuclear Medicine, Munich (Germany); Laubender, Ruediger Paul [Ludwig-Maximilians University, Institute of Medical Informatics, Biometry, and Epidemiology (IBE), Munich (Germany); Becker, Alexander [Ludwig-Maximilians University, Medical Department I, Munich (Germany); Sohn, Hae-Young [Ludwig-Maximilians University, Medical Department Innenstadt, Munich (Germany); Van Kriekinge, Serge D.; Slomka, Piotr J. [Cedars-Sinai Medical Center, Los Angeles, CA (United States); UCLA, David Geffen School of Medicine, Los Angeles, CA (United States)

2012-10-15

Left ventricular (LV) mechanical dyssynchrony (LVMD) was assessed by gated single-photon emission CT myocardial perfusion imaging (MPI) as an independent predictor of death from any cause in patients with known coronary artery disease (CAD) and reduced LV function. Between 2001 and 2010, 135 patients (64 {+-} 11 years of age, 84 % men) with known CAD, reduced LV ejection fraction (LVEF, 38 {+-} 15 %) and without an implanted cardiac resynchronization therapy device underwent gated MPI at rest. LV functional evaluation, which included phase analysis, was conducted to identify patients with LVMD. Kaplan-Meier survival curves were calculated for death of any cause during a mean follow-up of 2.0 {+-} 1.7 years. Uni- and multivariate Cox proportional hazards regression models were calculated to identify independent predictors of death from any cause. Of the 135 patients, 30 (22 %) died during follow-up (18 cardiac deaths and 12 deaths from other causes). Kaplan-Meier curves showed a significantly shorter survival time in the patients with severely reduced LVEF (<30 %, n = 45) or with LVMD (n = 81, log-rank test P <0.005). Cox models identified LVMD, LVEF <30 % and a total perfusion deficit at rest of {>=}20 % as independent predictors of death from any cause. While patients with LVEF <30 % in conjunction with LVMD had similar survival times irrespective of whether they had early revascularization or medical therapy, those patients with LVEF {>=}30% and LVMD who underwent revascularization had significantly longer survival. In patients with known CAD and reduced LV function, dyssynchrony of the LV is an independent predictor of death from any cause. (orig.)

Cardiac dysfunction assessed by echocardiographic tissue Doppler imaging is an independent predictor of mortality in the general population

DEFF Research Database (Denmark)

Mogelvang, Rasmus; Sogaard, Peter; Pedersen, Sune A

2009-01-01

parameters, left ventricular dysfunction by TDI is a powerful and independent predictor of death, especially when systolic performance and diastolic performance are considered together, recognizing their interdependency and their complex relation to deteriorating cardiac function....

Bayesian modeling of measurement error in predictor variables

NARCIS (Netherlands)

Fox, Gerardus J.A.; Glas, Cornelis A.W.

2003-01-01

It is shown that measurement error in predictor variables can be modeled using item response theory (IRT). The predictor variables, that may be defined at any level of an hierarchical regression model, are treated as latent variables. The normal ogive model is used to describe the relation between

Independent predictors of fibrosis in patients with nonalcoholic fatty liver disease.

Science.gov (United States)

Hossain, Noreen; Afendy, Arian; Stepanova, Maria; Nader, Fatema; Srishord, Manirath; Rafiq, Nila; Goodman, Zachary; Younossi, Zobair

2009-11-01

Nonalcoholic fatty liver disease (NAFLD) is a common cause of chronic liver disease. We investigated factors associated with advanced fibrosis in NAFLD. The study included 432 patients with histologically proven NAFLD (26.8% with nonalcoholic steatohepatitis [NASH] and 17.4% with moderate-to severe fibrosis). NASH was defined as steatosis, lobular inflammation, and ballooning degeneration with or without Mallory-Denk bodies and/or fibrosis. Fibrosis was classified into 2 groups: those with no or minimal fibrosis and those with moderate-to-severe fibrosis. Groups were compared using Mann-Whitney and chi-square method analyses. A model was constructed using a stepwise bidirectional method; its predictive power was measured using a 10-fold cross-validation technique. Patients with NASH were more likely to be male (P < .0001); have lower hip-to-waist ratios (P = .03); were less likely to be African American (P = .06); have higher levels of alanine aminotransferase (ALT; P < .0001), aspartate aminotransferase (AST; P < .0001), and serum triglycerides (P = .0154), but lower levels of high-density lipoprotein cholesterol (P < .0001). Patients with moderate-to-severe fibrosis were older (P = .0245); more likely to be male (P = .0189), Caucasian (P = .0382), have diabetes mellitus (P = .0238), and hypertension (P = .0375); and have a lower hip-to-waist ratio (P = .0077) but higher serum AST (P < .0001) and ALT (P < .0001) levels. The multivariate analysis model to predict moderate-to-severe fibrosis included male sex, Caucasian ethnicity, diabetes mellitus, and increased AST and ALT levels (model P value < .0001). In patients with NAFLD, diabetes mellitus and aminotransferase levels are independent predictors of moderate-to-severe fibrosis. They can be used to identify NAFLD patients at risk for advanced fibrosis.

Is preeclampsia an independent predictor of diastolic dysfunction? A retrospective cohort study.

Science.gov (United States)

Guirguis, George F; Aziz, Michael M; Boccia Liang, Claire; Williams, Shauna F; Apuzzio, Joseph J; Bilinski, Robyn; Mornan, Adenieki J D; Shah, Leena P

2015-10-01

To determine if preeclampsia is an independent predictor of diastolic dysfunction and what factors among patients with preeclampsia are associated with diastolic dysfunction. This is a retrospective cohort study of patients who delivered between 2008 and 2013 at a single institution who had a maternal echocardiogram during their pregnancy or within 5months of delivery. Patients with structural heart disease, ejection fraction less than 45%, pulmonary embolus, or age over 45years were excluded. Medical records were reviewed for medical and obstetric complications and echocardiogram findings. Demographic characteristics and rate of diastolic dysfunction were compared between patients with preeclampsia and without preeclampsia. Multivariate logistic regression was performed controlling for age, ethnicity, gestational age at delivery, diabetes, preeclampsia, intrauterine growth restriction (IUGR), antihypertensive use and magnesium sulfate administration. Sixty-six patients were identified, of which 39 (59%) had preeclampsia. Past history of preeclampsia, IUGR in the current pregnancy, antihypertensive use and magnesium sulfate use were higher in the preeclampsia group. Fifteen patients (39%) in the preeclampsia group were African-American compared to 2 (3%) in the control group (ppreeclampsia were found to have diastolic dysfunction compared to 3 (11%) controls (OR=6.18, 95% CI 1.59,24.02; p=0.006). Logistic regression analysis did not reveal other independent predictors of diastolic dysfunction. In the patients with preeclampsia, history of preeclampsia with severe features and IUGR were not associated with diastolic dysfunction. Our study supports previous findings that preeclampsia is associated with diastolic dysfunction. Copyright © 2015 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.

Using empirical Bayes predictors from generalized linear mixed models to test and visualize associations among longitudinal outcomes.

Science.gov (United States)

Mikulich-Gilbertson, Susan K; Wagner, Brandie D; Grunwald, Gary K; Riggs, Paula D; Zerbe, Gary O

2018-01-01

Medical research is often designed to investigate changes in a collection of response variables that are measured repeatedly on the same subjects. The multivariate generalized linear mixed model (MGLMM) can be used to evaluate random coefficient associations (e.g. simple correlations, partial regression coefficients) among outcomes that may be non-normal and differently distributed by specifying a multivariate normal distribution for their random effects and then evaluating the latent relationship between them. Empirical Bayes predictors are readily available for each subject from any mixed model and are observable and hence, plotable. Here, we evaluate whether second-stage association analyses of empirical Bayes predictors from a MGLMM, provide a good approximation and visual representation of these latent association analyses using medical examples and simulations. Additionally, we compare these results with association analyses of empirical Bayes predictors generated from separate mixed models for each outcome, a procedure that could circumvent computational problems that arise when the dimension of the joint covariance matrix of random effects is large and prohibits estimation of latent associations. As has been shown in other analytic contexts, the p-values for all second-stage coefficients that were determined by naively assuming normality of empirical Bayes predictors provide a good approximation to p-values determined via permutation analysis. Analyzing outcomes that are interrelated with separate models in the first stage and then associating the resulting empirical Bayes predictors in a second stage results in different mean and covariance parameter estimates from the maximum likelihood estimates generated by a MGLMM. The potential for erroneous inference from using results from these separate models increases as the magnitude of the association among the outcomes increases. Thus if computable, scatterplots of the conditionally independent empirical Bayes

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.

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 white-coat effect is an independent predictor of myocardial ischemia in resistant hypertension.

Science.gov (United States)

Modolo, Rodrigo; Ruggeri Barbaro, Natália; de Faria, Ana Paula; Rodrigues Sabbatini, Andréa; Paganelli, Maria Ondina; Fontana, Vanessa; Moreno, Heitor

2014-10-01

White-coat hypertension (WCH), commonly found in pseudoresistant hypertension, does not pose higher cardiovascular risk than hypertensive status. However, when the decrease of the out-of-office blood pressure does not reach normal levels - the white-coat effect (WCE) - the repercussions are still obscure. We investigated the repercussions of the WCE in myocardial perfusion in resistant hypertension (RHTN). We enrolled 129 asymptomatic RHTN subjects - divided into WCE (n = 63) and non-WCE (n = 66) - to perform rest and stress myocardial perfusion scintigraphy and biochemical tests. Groups were equal regarding age, gender and body mass index. There was a high prevalence of WCE (49%). WCE was associated with higher prevalence of myocardial ischemia (49.2% vs 7.6%, p < 0.001), microalbuminuria (60.3% vs 36.4%, p = 0.01) and higher heart rate (72 [64-80] vs 64 [60-69], p < 0.001), compared with non-WCE patients. On an adjusted logistic regression, heart rate was considered a predictor of WCE (OR = 1.10, 95% CI 1.04-1.15; p < 0.001), but not MA (OR = 1.8, 95% CI 0.8-3.9; p = 0.15). On a second model of adjusted logistic regression, WCE was an independent predictor of myocardial ischemia (OR = 14.7, 95% CI 4.8-44.8; p < 0.001). We found a high prevalence of WCE in RHTN, and this effect may predict silent myocardial ischemia in this subset of hypertensive patients. In this group of hypertensives special attention should be given to the WCE.

Hypoalbuminaemia is an independent predictor for hemophagocytic lymphohistiocytosis in childhood Epstein-Barr virus-associated infectious mononucleosis.

Science.gov (United States)

Huang, Shu-Ching; Chen, Jiann-Shiuh; Cheng, Chao-Neng; Yang, Yao-Jong

2012-11-01

Hemophagocytic lymphohistiocytosis (HLH) is a potentially fatal condition in children with Epstein-Barr virus (EBV)-associated infectious mononucleosis (IM). This study aimed to identify commonly available clinical and laboratory predictors that might help clinicians decide to perform the bone marrow and immunological tests for HLH in paediatric EBV-associated IM. A retrospective case-control study of patients aged 70% of patients) were fever, lymphadenopathy and hepatomegaly. In addition to the diagnostic criteria of HLH including fever, splenomegaly, cytopenia, hyperferritinaemia, hypertriglyceridemia and/or hypofibrinogenaemia, children with HLH had a significantly higher rate of prolonged fever >10 d, hepatomegaly, jaundice, general malaise, elevated aspartate aminotransferase, lactate dehydrogenase, C-reactive protein and hypoalbuminaemia compared to those with IM (all P < 0.01). Multiple logistic regression confirmed that hypoalbuminaemia (OR = 23.1, P = 0.01) was an independent predictor of paediatric HLH, with a high sensitivity (96%) and a good negative likelihood ratio (0.06) in patients with EBV-associated IM. Hypoalbuminaemia is a unique characteristic and potentially a valuable predictor for HLH in paediatric EBV-associated IM. © 2012 John Wiley & Sons A/S.

Sarcopenia is an independent predictor of complications after colorectal cancer surgery.

Science.gov (United States)

Nakanishi, Ryota; Oki, Eiji; Sasaki, Shun; Hirose, Kosuke; Jogo, Tomoko; Edahiro, Keitaro; Korehisa, Shotaro; Taniguchi, Daisuke; Kudo, Kensuke; Kurashige, Junji; Sugiyama, Masahiko; Nakashima, Yuichiro; Ohgaki, Kippei; Saeki, Hiroshi; Maehara, Yoshihiko

2018-02-01

The significance of sarcopenia after colorectal cancer (CRC) resection has only been discussed with relatively small samples or short follow-up periods. This study aimed to clarify the clinical significance of sarcopenia in a large-sample study. We retrospectively analyzed the relationship between sarcopenia and clinical factors, surgical outcomes, and the survival in 494 patients who underwent CRC surgery between 2004 and 2013. Sarcopenia was defined based on the sex-specific skeletal muscle mass index measured by preoperative computed tomography. Sarcopenia was associated with sex (higher rate of male, P Sarcopenia was associated with higher incidence of all postoperative complications (P = 0.02), especially for patients with Clavien-Dindo classification grade ≥2 (CDC; P = 0.0007). Postoperative hospital stays were significantly longer for sarcopenic patients than for non-sarcopenic patients (P = 0.02). In a multivariate analysis, sarcopenia was an independent predictor for postoperative complications (P = 0.01, odds ratio 1.82, 95% confidence interval 1.13-3.00). Among postoperative complications (CDC grade ≥2), sarcopenia was correlated with non-surgical-site infections (P = 0.03). Sarcopenia was not correlated with the overall or recurrence-free survival. Sarcopenia was an independent predictive factor for postoperative complications after CRC surgery.

Hospital-acquired pneumonia is an independent predictor of poor global outcome in severe traumatic brain injury up to 5 years after discharge.

Science.gov (United States)

Kesinger, Matthew Ryan; Kumar, Raj G; Wagner, Amy K; Puyana, Juan Carlos; Peitzman, Andrew P; Billiar, Timothy R; Sperry, Jason L

2015-02-01

Long-term outcomes following traumatic brain injury (TBI) correlate with initial head injury severity and other acute factors. Hospital-acquired pneumonia (HAP) is a common complication in TBI. Limited information exists regarding the significance of infectious complications on long-term outcomes after TBI. We sought to characterize risks associated with HAP on outcomes 5 years after TBI. This study involved data from the merger of an institutional trauma registry and the Traumatic Brain Injury Model Systems outcome data. Individuals with severe head injuries (Abbreviated Injury Scale [AIS] score ≥ 4) who survived to rehabilitation were analyzed. Primary outcome was Glasgow Outcome Scale-Extended (GOSE) at 1, 2, and 5 years. GOSE was dichotomized into low (GOSE score GOSE score ≥ 6). Logistic regression was used to determine adjusted odds of low GOSE score associated with HAP after controlling for age, sex, head and overall injury severity, cranial surgery, Glasgow Coma Scale (GCS) score, ventilation days, and other important confounders. A general estimating equation model was used to analyze all outcome observations simultaneously while controlling for within-patient correlation. A total of 141 individuals met inclusion criteria, with a 30% incidence of HAP. Individuals with and without HAP had similar demographic profiles, presenting vitals, head injury severity, and prevalence of cranial surgery. Individuals with HAP had lower presenting GCS score. Logistic regression demonstrated that HAP was independently associated with low GOSE scores at follow-up (1 year: odds ratio [OR], 6.39; 95% confidence interval [CI], 1.76-23.14; p = 0.005) (2 years: OR, 7.30; 95% CI, 1.87-27.89; p = 0.004) (5-years: OR, 6.89; 95% CI, 1.42-33.39; p = 0.017). Stratifying by GCS score of 8 or lower and early intubation, HAP remained a significant independent predictor of low GOSE score in all strata. In the general estimating equation model, HAP continued to be an independent

Hospital Acquired Pneumonia is an Independent Predictor of Poor Global Outcome in Severe Traumatic Brain Injury up to 5 Years after Discharge

Science.gov (United States)

Kesinger, Matthew R.; Kumar, Raj G.; Wagner, Amy K.; Puyana, Juan C.; Peitzman, Andrew P.; Billiar, Timothy R.; Sperry, Jason L.

2016-01-01

Objectives Long-term outcomes following traumatic brain injury (TBI) correlate with initial head injury severity and other acute factors. Hospital-acquired pneumonia (HAP) is a common complication in TBI. Little information exists regarding the significance of infectious complications on long-term outcomes post-TBI. We sought to characterize risks associated with HAP on outcomes 5 years post-TBI. Methods Ddata from the merger of an institutional trauma registry and the TBI Model Systems outcome data. Individuals with severe head injuries (Abbreviated Injury Scale≥4), who survived to rehabilitation were analyzed. Primary outcome was Glasgow Outcome Scaled-Extended (GOSE) at 1, 2, and 5 years. GOSE was dichotomized into LOW (GOSEGOSE≥6). Logistic regression was utilized to determine adjusted odds of LOW-GOSE associated with HAP after controlling for age, sex, head and overall injury severity, cranial surgery, Glasgow Coma Scale (GCS), ventilation days, and other important confounders. A general estimating equation (GEE) model was used to analyze all outcome observations simultaneously while controlling for within-patient correlation. Results A total of 141 individuals met inclusion criteria, with a 30% incidence of HAP. Individuals with and without HAP had similar demographic profiles, presenting vitals, head injury severity, and prevalence of cranial surgery. Individuals with HAP had lower presenting GCS. Logistic regression demonstrated that HAP was independently associated with LOW-GOSE scores at follow-up (1year: OR=6.39, 95%CI: 1.76-23.14, p=0.005; 2-years: OR=7.30, 95%CI 1.87-27.89, p=0.004; 5-years: OR=6.89, 95%CI: 1.42-33.39, p=0.017). Stratifying by GCS≤8 and early intubation, HAP remained a significant independent predictor of LOW-GOSE in all strata. In the GEE model, HAP continued to be an independent predictor of LOW-GOSE (OR: 4.59; 95%CI: 1.82-11.60′ p=0.001). Conclusion HAP is independently associated with poor outcomes in severe-TBI extending 5

Model-Independent and Quasi-Model-Independent Search for New Physics at CDF

OpenAIRE

CDF Collaboration

2007-01-01

Data collected in Run II of the Fermilab Tevatron are searched for indications of new electroweak scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with respect to the standard model prediction. A model-independent approach (Vista) considers the gross features of the data, and is sensitive to new large cross section physics. A quasi-model-independent approach (Sleuth) searches for a significant excess of events with large summed t...

Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors

Directory of Open Access Journals (Sweden)

Claudio Monteiro

2018-04-01

Full Text Available This article presents original probabilistic price forecasting meta-models (PPFMCP models, by aggregation of competitive predictors, for day-ahead hourly probabilistic price forecasting. The best twenty predictors of the EEM2016 EPF competition are used to create ensembles of hourly spot price forecasts. For each hour, the parameter values of the probability density function (PDF of a Beta distribution for the output variable (hourly price can be directly obtained from the expected and variance values associated to the ensemble for such hour, using three aggregation strategies of predictor forecasts corresponding to three PPFMCP models. A Reliability Indicator (RI and a Loss function Indicator (LI are also introduced to give a measure of uncertainty of probabilistic price forecasts. The three PPFMCP models were satisfactorily applied to the real-world case study of the Iberian Electricity Market (MIBEL. Results from PPFMCP models showed that PPFMCP model 2, which uses aggregation by weight values according to daily ranks of predictors, was the best probabilistic meta-model from a point of view of mean absolute errors, as well as of RI and LI. PPFMCP model 1, which uses the averaging of predictor forecasts, was the second best meta-model. PPFMCP models allow evaluations of risk decisions based on the price to be made.

NT-pro-BNP is an independent predictor of mortality in patients with end-stage renal disease.

Science.gov (United States)

Svensson, M; Gorst-Rasmussen, A; Schmidt, E B; Jorgensen, K A; Christensen, J H

2009-04-01

Patients with end-stage renal disease (ESRD) have an increased mortality from cardiovascular disease (CVD). N-terminal pro-brain natriuretic peptide (NT-pro-BNP) is an independent predictor of mortality in patients with ischemic heart disease and congestive heart failure. Previous data have shown markedly elevated levels of NT-pro-BNP in patients with ESRD, while the prognostic value of elevated levels of NT-pro-BNP in patients with ESRD is largely unknown. The aim of the present study was to examine if the level of NT-pro-BNP predicts mortality in patients with ERSD and CVD. We prospectively followed 206 patients with ESRD and documented CVD. Levels of NT-pro-BNP were measured at baseline, and patients were followed for 2 years or until they reached the predefined endpoint of all-cause mortality. During follow-up, the total mortality was 44% (90/206). Patients who died were followed for a median of 314 days (interquartile range 179 - 530). Using Cox regression analysis, age, female sex, systolic blood pressure, dialysis efficiency and plasma levels of NT-pro-BNP were independent prognostic risk factors of mortality. In receiver operating characteristic curve analysis a cut off value for NT-pro-BNP was determined. Patients with values of NT-pro-BNP above 12.200 pg/ml had a 3 times higher risk of death than patients below the cut-off value (HR 3.05 95% CI 1.96 - 4.77, p pro-BNP, NT-pro-BNP is still an independent predictor of mortality and might add prognostic information in patients with ESRD and documented CVD.

Increased orosomucoid in urine is an independent predictor of cardiovascular and all-cause mortality in patients with type 2 diabetes at 10 years of follow-up

DEFF Research Database (Denmark)

Svendstrup, Mathilde; Christiansen, Merete Skovdal; Magid, Erik

2013-01-01

To evaluate whether increased urinary orosomucoid excretion rate (UOER) is an independent predictor of cardiovascular and all-cause mortality in type 2 diabetes (T2DM) and type 1 diabetes (T1DM) at 10years of follow-up.......To evaluate whether increased urinary orosomucoid excretion rate (UOER) is an independent predictor of cardiovascular and all-cause mortality in type 2 diabetes (T2DM) and type 1 diabetes (T1DM) at 10years of follow-up....

Model-Independent Diffs

DEFF Research Database (Denmark)

Könemann, Patrick

just contain a list of strings, one for each line, whereas the structure of models is defined by their meta models. There are tools available which are able to compute the diff between two models, e.g. RSA or EMF Compare. However, their diff is not model-independent, i.e. it refers to the models...

Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients.

Directory of Open Access Journals (Sweden)

Ta-Sen Wei

Full Text Available Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed.This study was a prospective study of 112 inpatients in a rehabilitation ward with follow-up interviews in patients' homes. Evaluations were performed 1 month after stroke and included the following factors: (1 status of cognition, depression, fear of fall and limb spasticity; (2 functional assessments [walking velocity and the Functional Independence Measure (FIM]; and (3 objective, computerized gait and balance analyses. The outcome variable was the number of accidental falls during the 6-month follow-up period after baseline measurements.The non-faller group exhibited significantly better walking velocity and FIM scale compared to the faller group (P < .001. The faller group exhibited higher levels of spasticity in the affected limbs, asymmetry of gait parameters in single support (P < .001, double support (P = .027, and step time (P = .003, and lower stability of center of gravity in the medial-lateral direction (P = .008. Psychological assessments revealed that the faller group exhibited more severe depression and lower confidence without falling. A multivariate logistic regression model identified three independent predictors of falls with high sensitivity (82.6% and specificity (86.5%: the asymmetry ratio of single support [adjusted odds ratio, aOR = 2.2, 95% CI (1.2-3.8], the level of spasticity in the gastrocnemius [aOR = 3.2 (1.4-7.3], and the degree of depression [aOR = 1.4 (1.2-1.8].This study revealed depression, in additional to gait asymmetry and spasticity, as another independent factor for predicting falls. These results suggest that appropriate gait training, reduction of ankle spasticity, and aggressive management of depression may be critical to prevent falls in stroke patients.

Red Blood Cell Distribution Width is an Independent Predictor of AKI and Mortality in Patients in the Coronary Care Unit.

Science.gov (United States)

Hu, Yugang; Liu, Huilan; Fu, Shuai; Wan, Jing; Li, Xiaoning

2017-01-01

We investigated the hypothesis that RDW is an independent predictor of acute kidney injury (AKI) and mortality in patients in the coronary care unit (CCU). In this prospective, observational study, we screened 412 adults admitted to the CCU at Zhongnan Hospital of Wuhan University from January 1, 2014 to June 1, 2015. AKI was defined based on the KDIGO-AKI criteria. The survivors were followed up for up to 2 years after hospital discharge. The primary endpoint of the study was the incidence of AKI, while the secondary endpoints of the study were in-hospital mortality and 2-year mortality. RDW was significantly correlated with the acute physiology and chronic health evaluation II (APACHEII) score, hemoglobin, mean corpuscular volume, inflammatory marker levels, nutrition and renal function at the time of CCU admission. The incidence of AKI was much higher in the high RDW group (RDW ≥14.0%) than in the low RDW group, a finding that was confirmed by multivariable logistic regression, which showed that RDW was independently associated with the incidence of AKI (odds ratio (OR), 1.059, 95% coincidence interval (95% CI), 1.024-1.095, P=0.001). A total of 61 patients died during their hospital stay, and baseline RDW was also an independent predictor of in-hospital mortality (hazard ratio (HR), 1.129, 95% CI 1.005-1.268, P=0.041). Patients with a high RDW exhibited significantly higher 2-year mortality than patients with a low RDW during a median follow-up period of 19.8 months (P<0.001), and RDW independently predicted the risk of 2-year mortality (HR, 1.189, 95% CI 1.045 to 1.354, P=0.009) in the multivariate Cox proportional hazard analysis after adjustments for other clinical and laboratory variables. RDW is an independent predictor of AKI and mortality in patients in the CCU. © 2017 The Author(s). Published by S. Karger AG, Basel.

Red Blood Cell Distribution Width is an Independent Predictor of AKI and Mortality in Patients in the Coronary Care Unit

Directory of Open Access Journals (Sweden)

Yugang Hu

2017-12-01

Full Text Available Background/Aims: We investigated the hypothesis that RDW is an independent predictor of acute kidney injury (AKI and mortality in patients in the coronary care unit (CCU. Methods: In this prospective, observational study, we screened 412 adults admitted to the CCU at Zhongnan Hospital of Wuhan University from January 1, 2014 to June 1, 2015. AKI was defined based on the KDIGO-AKI criteria. The survivors were followed up for up to 2 years after hospital discharge. The primary endpoint of the study was the incidence of AKI, while the secondary endpoints of the study were in-hospital mortality and 2-year mortality. Results: RDW was significantly correlated with the acute physiology and chronic health evaluation II (APACHEII score, hemoglobin, mean corpuscular volume, inflammatory marker levels, nutrition and renal function at the time of CCU admission. The incidence of AKI was much higher in the high RDW group (RDW ≥14.0% than in the low RDW group, a finding that was confirmed by multivariable logistic regression, which showed that RDW was independently associated with the incidence of AKI (odds ratio (OR, 1.059, 95% coincidence interval (95% CI, 1.024-1.095, P=0.001. A total of 61 patients died during their hospital stay, and baseline RDW was also an independent predictor of in-hospital mortality (hazard ratio (HR, 1.129, 95% CI 1.005-1.268, P=0.041. Patients with a high RDW exhibited significantly higher 2-year mortality than patients with a low RDW during a median follow-up period of 19.8 months (P<0.001, and RDW independently predicted the risk of 2-year mortality (HR, 1.189, 95% CI 1.045 to 1.354, P=0.009 in the multivariate Cox proportional hazard analysis after adjustments for other clinical and laboratory variables. Conclusion: RDW is an independent predictor of AKI and mortality in patients in the CCU.

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 New Perspective for the Calibration of Computational Predictor Models.

Energy Technology Data Exchange (ETDEWEB)

Crespo, Luis Guillermo

2014-11-01

This paper presents a framework for calibrating computational models using data from sev- eral and possibly dissimilar validation experiments. The offset between model predictions and observations, which might be caused by measurement noise, model-form uncertainty, and numerical error, drives the process by which uncertainty in the models parameters is characterized. The resulting description of uncertainty along with the computational model constitute a predictor model. Two types of predictor models are studied: Interval Predictor Models (IPMs) and Random Predictor Models (RPMs). IPMs use sets to characterize uncer- tainty, whereas RPMs use random vectors. The propagation of a set through a model makes the response an interval valued function of the state, whereas the propagation of a random vector yields a random process. Optimization-based strategies for calculating both types of predictor models are proposed. Whereas the formulations used to calculate IPMs target solutions leading to the interval value function of minimal spread containing all observations, those for RPMs seek to maximize the models' ability to reproduce the distribution of obser- vations. Regarding RPMs, we choose a structure for the random vector (i.e., the assignment of probability to points in the parameter space) solely dependent on the prediction error. As such, the probabilistic description of uncertainty is not a subjective assignment of belief, nor is it expected to asymptotically converge to a fixed value, but instead it is a description of the model's ability to reproduce the experimental data. This framework enables evaluating the spread and distribution of the predicted response of target applications depending on the same parameters beyond the validation domain (i.e., roll-up and extrapolation).

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.

Model-independent and quasi-model-independent search for new physics at CDF

International Nuclear Information System (INIS)

Aaltonen, T.; Maki, T.; Mehtala, P.; Orava, R.; Osterberg, K.; Saarikko, H.; van Remortel, N.; Abulencia, A.; Budd, S.; Ciobanu, C. I.; Errede, D.; Errede, S.; Gerberich, H.; Grundler, U.; Junk, T. R.; Kraus, J.; Marino, C. P.; Neubauer, M. S.; Norniella, O.; Pitts, K.

2008-01-01

Data collected in run II of the Fermilab Tevatron are searched for indications of new electroweak scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with respect to the standard model prediction. A model-independent approach (Vista) considers the gross features of the data and is sensitive to new large cross section physics. A quasi-model-independent approach (Sleuth) searches for a significant excess of events with large summed transverse momentum and is particularly sensitive to new electroweak scale physics that appears predominantly in one final state. This global search for new physics in over 300 exclusive final states in 927 pb -1 of pp collisions at √(s)=1.96 TeV reveals no such significant indication of physics beyond the standard model.

Modelling of diffuse solar fraction with multiple predictors

Energy Technology Data Exchange (ETDEWEB)

Ridley, Barbara; Boland, John [Centre for Industrial and Applied Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095 (Australia); Lauret, Philippe [Laboratoire de Physique du Batiment et des Systemes, University of La Reunion, Reunion (France)

2010-02-15

For some locations both global and diffuse solar radiation are measured. However, for many locations, only global radiation is measured, or inferred from satellite data. For modelling solar energy applications, the amount of radiation on a tilted surface is needed. Since only the direct component on a tilted surface can be calculated from direct on some other plane using trigonometry, we need to have diffuse radiation on the horizontal plane available. There are regression relationships for estimating the diffuse on a tilted surface from diffuse on the horizontal. Models for estimating the diffuse on the horizontal from horizontal global that have been developed in Europe or North America have proved to be inadequate for Australia. Boland et al. developed a validated model for Australian conditions. Boland et al. detailed our recent advances in developing the theoretical framework for the use of the logistic function instead of piecewise linear or simple nonlinear functions and was the first step in identifying the means for developing a generic model for estimating diffuse from global and other predictors. We have developed a multiple predictor model, which is much simpler than previous models, and uses hourly clearness index, daily clearness index, solar altitude, apparent solar time and a measure of persistence of global radiation level as predictors. This model performs marginally better than currently used models for locations in the Northern Hemisphere and substantially better for Southern Hemisphere locations. We suggest it can be used as a universal model. (author)

Screen time and passive school travel as independent predictors of cardiorespiratory fitness in youth.

Science.gov (United States)

Sandercock, Gavin R H; Ogunleye, Ayodele A

2012-05-01

The most prevalent sedentary behaviours in children and adolescents are engagement with small screen media (screen-time) and passive travel (by motorised vehicle). The objective of this research was to assess the independence of these behaviours from one another and from physical activity as predictors of cardiorespiratory fitness in youth. We measured cardiorespiratory fitness in n=6819 10-16 year olds (53% male) who self-reported their physical activity (7-day recall) school travel and screen time habits. Travel was classified as active (walking, cycling) or passive; screen time as 4 h. The multivariate odds of being fit were higher in active travel (Boys: OR 1.32, 95% CI: 1.09-1.59; Girls: OR 1.46, 1.15-1.84) than in passive travel groups. Boys reporting low screen time were more likely to be fit than those reporting >4 h (OR 2.11, 95% CI: 1.68-2.63) as were girls (OR 1.66, 95% CI: 1.24-2.20). These odds remained significant after additionally controlling for physical activity. Passive travel and high screen time are independently associated with poor cardiorespiratory fitness in youth, and this relationship is independent of physical activity levels. A lifestyle involving high screen time and habitual passive school travel appears incompatible with healthful levels of cardiorespiratory fitness in youth. Copyright © 2012 Elsevier Inc. All rights reserved.

Xanthine oxidase and uric acid as independent predictors of albuminuria in patients with diabetes mellitus type 2.

Science.gov (United States)

Klisic, Aleksandra; Kocic, Gordana; Kavaric, Nebojsa; Jovanovic, Milovan; Stanisic, Verica; Ninic, Ana

2018-05-01

Xanthine oxidase (XO) is an important enzyme responsible for conversion of purine bases to uric acid and represents the major source of reactive oxygen species (ROS) production in circulation. Since pathophysiological mechanism of the relationship between XO activity and urinary albumin excretion (UAE) rate is not well elucidated, we aimed to investigate this association in patients with diabetes mellitus type 2 (DM2). In addition, we wanted to examine whether uric acid itself plays an independent role in albuminuria onset and progression, or it is only mediated through XO activity. A total of 83 patients with DM2 (of them 56.6% females) were included in this cross-sectional study. Anthropometric, biochemical parameters and blood pressure were obtained. Multivariate logistic regression analysis showed that uric acid and XO were the independent predictors for albuminuria onset in patients with DM2 [odds ratio (OR) 1.015, 95% CI (1.008-1.028), p = 0.026 and OR 1.015, 95% CI (1.006-1.026), p = 0.040, respectively]. Rise in uric acid for 1 µmol/L enhanced the probability for albuminuria by 1.5%. Also, elevation in XO activity for 1 U/L increased the probability for albuminuria for 1.5%. A total of 66.7% of variation in UAE could be explained with this Model. Both XO and uric acid are independently associated with albuminuria in diabetes. Better understanding of pathophysiological relationship between oxidative stress and albuminuria could lead to discoveries of best pharmacological treatment of XO- and/or uric acid-induced ROS, in order to prevent albuminuria onset and progression.

Joint Bayesian variable and graph selection for regression models with network-structured predictors

Science.gov (United States)

Peterson, C. B.; Stingo, F. C.; Vannucci, M.

2015-01-01

In this work, we develop a Bayesian approach to perform selection of predictors that are linked within a network. We achieve this by combining a sparse regression model relating the predictors to a response variable with a graphical model describing conditional dependencies among the predictors. The proposed method is well-suited for genomic applications since it allows the identification of pathways of functionally related genes or proteins which impact an outcome of interest. In contrast to previous approaches for network-guided variable selection, we infer the network among predictors using a Gaussian graphical model and do not assume that network information is available a priori. We demonstrate that our method outperforms existing methods in identifying network-structured predictors in simulation settings, and illustrate our proposed model with an application to inference of proteins relevant to glioblastoma survival. PMID:26514925

Interdisciplinary Care Model Independently Decreases Use of Critical Care Services After Corrective Surgery for Adult Degenerative Scoliosis.

Science.gov (United States)

Adogwa, Owoicho; Elsamadicy, Aladine A; Sergesketter, Amanda R; Ongele, Michael; Vuong, Victoria; Khalid, Syed; Moreno, Jessica; Cheng, Joseph; Karikari, Isaac O; Bagley, Carlos A

2018-03-01

Interdisciplinary management of elderly patients requiring spine surgery has been shown to improve short- and long-term outcomes. The aim of this study was to determine whether an interdisciplinary team approach mitigates use of intensive care unit (ICU) resources. A unique comanagement model for elderly patients undergoing lumbar fusion surgery was implemented at a major academic medical center. The Peri-operative Optimization of Senior Health Program (POSH) was launched with the aim of improving outcomes in elderly patients (>65 years old) undergoing complex lumbar spine surgery. In this model, a geriatrician evaluates elderly patients preoperatively, comanages daily throughout hospital course, and coordinates multidisciplinary rehabilitation, along with the neurosurgical team. We retrospectively reviewed the first 100 cases after the initiation of the POSH protocol and compared them with the immediately preceding 25 cases to assess the rates of ICU transfer and independent predictors of ICU admission. A total of 125 patients undergoing lumbar decompression and fusion surgery were enrolled in this pilot program. Baseline characteristics and intraoperative variables, as well as number of fusion levels and duration of surgery, were similar between both cohorts. There was a significant difference in the use of ICU services (ICU admission rates) between both cohorts, with the non-POSH cohort having a 3-fold increase compared with the POSH cohort (P < 0.0001). In a multivariate analysis, lack of an interdisciplinary comanagement team approach was an independent predictor for ICU transfers in elderly patients undergoing corrective surgery (odds ratio 8.51, 95% confidence interval 2.972-24.37, P < 0.0001). Our study suggests that an interdisciplinary comanagement model between geriatrics and neurosurgery is independently associated with reduced use of critical care services. Copyright © 2018 Elsevier Inc. All rights reserved.

[Psychosocial factors as predictors of atherosclerosis and cardiovascular events: contribution from animal models].

Science.gov (United States)

Alboni, Paolo; Alboni, Marco

2006-11-01

Conventional risk factors (abnormal lipids, hypertension, etc.) are independent predictors of atherosclerosis and cardiovascular events; however, these factors are not specific since about half patients with acute myocardial infarction paradoxically result at low cardiovascular risk. Recent prospective studies provide convincing evidence that some psychosocial factors are independent predictors of atherosclerosis and cardiovascular events, as well. Psychosocial factors that promote atherosclerosis can be divided into two general categories: chronic stressors, including social isolation/low social support and work stress (subordination without job control) and emotional factors, including affective disorders such as depression, severe anxiety and hostility/anger. The emotional factors, such as the chronic stressors, activate the biological mechanisms of chronic stress: increased activity of the hypothalamic-pituitary-adrenal axis, sympathetic system and inflammation processes, which have atherogenic effects, and an increase in blood coagulation. In spite of the amount of published data, psychosocial factors receive little attention in the medical setting. About 30 years ago, Kuller defined the criteria for a causal relation between a risk factor and atherosclerosis and cardiac events. The first of these criteria states that experimental research should demonstrate that any new factor would increase the extent of atherosclerosis or its complications in suitable animal models. We carried out a bibliographic research in order to investigate whether the results of the studies dealing with animal examination and experimentation support the psychosocial factors as predictors of atherosclerosis. Contributions related to some of the psychosocial factors such as social isolation, subordination and hostility/anger have been found. In these studies atherosclerotic extension has been evaluated at necroscopy; however, the incidence of cardiovascular events has not been

Comment on atomic independent-particle models

International Nuclear Information System (INIS)

Doda, D.D.; Gravey, R.H.; Green, A.E.S.

1975-01-01

The Hartree-Fock-Slater (HFS) independent-particle model in the form developed by Hermann and Skillman (HS) and the Green, Sellin, and Zachor (GSZ) analytic independent-particle model are being used for many types of applications of atomic theory to avoid cumbersome, albeit more rigorous, many-body calculations. The single-electron eigenvalues obtained with these models are examined and it is found that the GSZ model is capable of yielding energy eigenvalues for valence electrons which are substantially closer to experimental values than are the results of HS-HFS calculations. With the aid of an analytic representation of the equivalent HS-HFS screening function, the difficulty with this model is identified as a weakness of the potential in the neighborhood of the valence shell. Accurate representations of valence states are important in most atomic applications of the independent-particle model

Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

Science.gov (United States)

Whittle, Rebecca; Peat, George; Belcher, John; Collins, Gary S; Riley, Richard D

2018-05-18

Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted. Susceptibility to measurement error for each predictor was classified into low and high risk. Thirty-three studies were reviewed, including 151 different predictors in the final prediction models. Fifty-one (33.7%) predictors were categorised as high risk of error, however this was not accounted for in the model development. Only 8 (24.2%) studies explicitly stated the intended moment of model use and when the predictors were measured. Reporting of measurement error and intended moment of model use is poor in prediction model studies. There is a need to identify circumstances where ignoring measurement error in prediction models is consequential and whether accounting for the error will improve the predictions. Copyright © 2018. Published by Elsevier Inc.

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Directory of Open Access Journals (Sweden)

Christophe Coupé

2018-04-01

Full Text Available As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because scientific articles still often fall short of reporting whether such assumptions are met. Progress is being, however, made in various directions, one of them being the introduction of techniques able to model data that cannot be properly analyzed with simpler linear regression models. We report recent advances in statistical modeling in linguistics. We first describe linear mixed-effects regression models (LMM, which address grouping of observations, and generalized linear mixed-effects models (GLMM, which offer a family of distributions for the dependent variable. Generalized additive models (GAM are then introduced, which allow modeling non-linear parametric or non-parametric relationships between the dependent variable and the predictors. We then highlight the possibilities offered by generalized additive models for location, scale, and shape (GAMLSS. We explain how they make it possible to go beyond common distributions, such as Gaussian or Poisson, and offer the appropriate inferential framework to account for ‘difficult’ variables such as count data with strong overdispersion. We also demonstrate how they offer interesting perspectives on data when not only the mean of the dependent variable is modeled, but also its variance, skewness, and kurtosis. As an illustration, the case of phonemic inventory size is analyzed throughout the article. For over 1,500 languages, we consider as predictors the number of speakers, the distance from Africa, an estimation of the intensity of language contact, and linguistic relationships. We discuss the use of random effects to account for genealogical relationships, the choice of appropriate distributions to model count data, and non-linear relationships

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape.

Science.gov (United States)

Coupé, Christophe

2018-01-01

As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because scientific articles still often fall short of reporting whether such assumptions are met. Progress is being, however, made in various directions, one of them being the introduction of techniques able to model data that cannot be properly analyzed with simpler linear regression models. We report recent advances in statistical modeling in linguistics. We first describe linear mixed-effects regression models (LMM), which address grouping of observations, and generalized linear mixed-effects models (GLMM), which offer a family of distributions for the dependent variable. Generalized additive models (GAM) are then introduced, which allow modeling non-linear parametric or non-parametric relationships between the dependent variable and the predictors. We then highlight the possibilities offered by generalized additive models for location, scale, and shape (GAMLSS). We explain how they make it possible to go beyond common distributions, such as Gaussian or Poisson, and offer the appropriate inferential framework to account for 'difficult' variables such as count data with strong overdispersion. We also demonstrate how they offer interesting perspectives on data when not only the mean of the dependent variable is modeled, but also its variance, skewness, and kurtosis. As an illustration, the case of phonemic inventory size is analyzed throughout the article. For over 1,500 languages, we consider as predictors the number of speakers, the distance from Africa, an estimation of the intensity of language contact, and linguistic relationships. We discuss the use of random effects to account for genealogical relationships, the choice of appropriate distributions to model count data, and non-linear relationships. Relying on GAMLSS, we

Persistent Depressive Symptoms are Independent Predictors of Low-Grade Inflammation Onset Among Healthy Individuals

Directory of Open Access Journals (Sweden)

Fábio Gazelato de Mello Franco

Full Text Available Abstract Background: Depressive symptoms are independently associated with an increased risk of cardiovascular disease (CVD among individuals with non-diagnosed CVD. The mechanisms underlying this association, however, remain unclear. Inflammation has been indicated as a possible mechanistic link between depression and CVD. Objectives: This study evaluated the association between persistent depressive symptoms and the onset of low-grade inflammation. Methods: From a database of 1,508 young (mean age: 41 years individuals with no CVD diagnosis who underwent at least two routine health evaluations, 134 had persistent depressive symptoms (Beck Depression Inventory - BDI ≥ 10, BDI+ and 1,374 had negative symptoms at both time points (BDI-. All participants had been submitted to repeated clinical and laboratory evaluations at a regular follow-up with an average of 26 months from baseline. Low-grade inflammation was defined as plasma high-sensitivity C-Reactive Protein (CRP concentrations > 3 mg/L. The outcome was the incidence of low-grade inflammation evaluated by the time of the second clinical evaluation. Results: The incidence of low-grade inflammation was more frequently observed in the BDI+ group compared to the BDI- group (20.9% vs. 11.4%; p = 0.001. After adjusting for sex, age, waist circumference, body mass index, levels of physical activity, smoking, and prevalence of metabolic syndrome, persistent depressive symptoms remained an independent predictor of low-grade inflammation onset (OR = 1.76; 95% CI: 1.03-3.02; p = 0.04. Conclusions: Persistent depressive symptoms were independently associated with low-grade inflammation onset among healthy individuals.

Independent Predictors of Bleeding Complications in Patients Undergoing PCI With Concomitant Treatment With Bivalirudin in Clinical Practice Results From the Improver Registry

DEFF Research Database (Denmark)

Koeth, Oliver; Gulba, Dietrich; Huber, Kurt

2013-01-01

Bleeding complications are associated with an adverse outcome after a percutaneous coronary intervention (PCI) is performed. Traditional risk factors for bleeding complications are age, gender, underweight, hypertension, and renal impairment. The aim of our study was to identify the independent...... predictors of bleeding complications in patients undergoing a PCI with concomitant treatment with bivalirudin....

Models of Marine Fish Biodiversity: Assessing Predictors from Three Habitat Classification Schemes.

Science.gov (United States)

Yates, Katherine L; Mellin, Camille; Caley, M Julian; Radford, Ben T; Meeuwig, Jessica J

2016-01-01

Prioritising biodiversity conservation requires knowledge of where biodiversity occurs. Such knowledge, however, is often lacking. New technologies for collecting biological and physical data coupled with advances in modelling techniques could help address these gaps and facilitate improved management outcomes. Here we examined the utility of environmental data, obtained using different methods, for developing models of both uni- and multivariate biodiversity metrics. We tested which biodiversity metrics could be predicted best and evaluated the performance of predictor variables generated from three types of habitat data: acoustic multibeam sonar imagery, predicted habitat classification, and direct observer habitat classification. We used boosted regression trees (BRT) to model metrics of fish species richness, abundance and biomass, and multivariate regression trees (MRT) to model biomass and abundance of fish functional groups. We compared model performance using different sets of predictors and estimated the relative influence of individual predictors. Models of total species richness and total abundance performed best; those developed for endemic species performed worst. Abundance models performed substantially better than corresponding biomass models. In general, BRT and MRTs developed using predicted habitat classifications performed less well than those using multibeam data. The most influential individual predictor was the abiotic categorical variable from direct observer habitat classification and models that incorporated predictors from direct observer habitat classification consistently outperformed those that did not. Our results show that while remotely sensed data can offer considerable utility for predictive modelling, the addition of direct observer habitat classification data can substantially improve model performance. Thus it appears that there are aspects of marine habitats that are important for modelling metrics of fish biodiversity that are

A bayesian hierarchical model for classification with selection of functional predictors.

Science.gov (United States)

Zhu, Hongxiao; Vannucci, Marina; Cox, Dennis D

2010-06-01

In functional data classification, functional observations are often contaminated by various systematic effects, such as random batch effects caused by device artifacts, or fixed effects caused by sample-related factors. These effects may lead to classification bias and thus should not be neglected. Another issue of concern is the selection of functions when predictors consist of multiple functions, some of which may be redundant. The above issues arise in a real data application where we use fluorescence spectroscopy to detect cervical precancer. In this article, we propose a Bayesian hierarchical model that takes into account random batch effects and selects effective functions among multiple functional predictors. Fixed effects or predictors in nonfunctional form are also included in the model. The dimension of the functional data is reduced through orthonormal basis expansion or functional principal components. For posterior sampling, we use a hybrid Metropolis-Hastings/Gibbs sampler, which suffers slow mixing. An evolutionary Monte Carlo algorithm is applied to improve the mixing. Simulation and real data application show that the proposed model provides accurate selection of functional predictors as well as good classification.

Increased mean lung density: Another independent predictor of lung cancer?

Energy Technology Data Exchange (ETDEWEB)

Sverzellati, Nicola, E-mail: nicola.sverzellati@unipr.it [Department of Department of Surgical Sciences, Section of Diagnostic Imaging, University of Parma, Padiglione Barbieri, University Hospital of Parma, V. Gramsci 14, 43100 Parma (Italy); Randi, Giorgia, E-mail: giorgia.randi@marionegri.it [Department of Epidemiology, Mario Negri Institute, Via La Masa 19, 20156 Milan (Italy); Spagnolo, Paolo, E-mail: paolo.spagnolo@unimore.it [Respiratory Disease Unit, Center for Rare Lung Disease, Department of Oncology, Hematology and Respiratory Disease, University of Modena and Reggio Emilia, Via del Pozzo 71, 44124 Modena (Italy); Marchianò, Alfonso, E-mail: alfonso.marchiano@istitutotumori.mi.it [Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milan (Italy); Silva, Mario, E-mail: mac.mario@hotmail.it [Department of Department of Surgical Sciences, Section of Diagnostic Imaging, University of Parma, Padiglione Barbieri, University Hospital of Parma, V. Gramsci 14, 43100 Parma (Italy); Kuhnigk, Jan-Martin, E-mail: Jan-Martin.Kuhnigk@mevis.fraunhofer.de [Fraunhofer MEVIS, Universitaetsallee 29, 28359 Bremen (Germany); La Vecchia, Carlo, E-mail: carlo.lavecchia@marionegri.it [Department of Occupational Health, University of Milan, Via Venezian 1, 20133 Milan (Italy); Zompatori, Maurizio, E-mail: maurizio.zompatori@unibo.it [Department of Radiology, Cardio-Thoracic Section, S. Orsola-Malpighi Hospital, Via Albertoni 15, 40138 Bologna (Italy); Pastorino, Ugo, E-mail: ugo.pastorino@istitutotumori.mi.it [Department of Surgery, Section of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milan (Italy)

2013-08-15

Objectives: To investigate the relationship between emphysema phenotype, mean lung density (MLD), lung function and lung cancer by using an automated multiple feature analysis tool on thin-section computed tomography (CT) data. Methods: Both emphysema phenotype and MLD evaluated by automated quantitative CT analysis were compared between outpatients and screening participants with lung cancer (n = 119) and controls (n = 989). Emphysema phenotype was defined by assessing features such as extent, distribution on core/peel of the lung and hole size. Adjusted multiple logistic regression models were used to evaluate independent associations of CT densitometric measurements and pulmonary function test (PFT) with lung cancer risk. Results: No emphysema feature was associated with lung cancer. Lung cancer risk increased with decreasing values of forced expiratory volume in 1 s (FEV{sub 1}) independently of MLD (OR 5.37, 95% CI: 2.63–10.97 for FEV{sub 1} < 60% vs. FEV{sub 1} ≥ 90%), and with increasing MLD independently of FEV{sub 1} (OR 3.00, 95% CI: 1.60–5.63 for MLD > −823 vs. MLD < −857 Hounsfield units). Conclusion: Emphysema per se was not associated with lung cancer whereas decreased FEV{sub 1} was confirmed as being a strong and independent risk factor. The cross-sectional association between increased MLD and lung cancer requires future validations.

Improvement in HOMA-IR is an independent predictor of reduced carotid intima-media thickness in obese adolescents participating in an interdisciplinary weight-loss program.

Science.gov (United States)

de Lima Sanches, Priscila; de Mello, Marco Túlio; Elias, Natália; Fonseca, Francisco Antonio Helfenstein; de Piano, Aline; Carnier, June; Oyama, Lila Missae; Tock, Lian; Tufik, Sergio; Dâmaso, Ana Raimunda

2011-02-01

The aim of this study was to verify whether a 1-year interdisciplinary weight-loss program improved common carotid artery intima-media thickness (IMT) and whether insulin resistance and/or inflammation (as measured by the markers plasminogen activator inhibitor type-1 and adiponectin) might underlie obesity in adolescents. A group of 29 post-pubescent obese adolescents were submitted to an interdisciplinary intervention over the course of 1 year. Common carotid artery IMT was determined ultrasonographically. Body composition, blood pressure (BP), glycemia, insulinemia, homeostasis model assessment of insulin resistance (HOMA-IR), lipid profile and adipokine concentrations were analyzed before and after the intervention. The interdisciplinary weight-loss program promoted a significant improvement in body composition, insulin concentration, HOMA-IR, lipid profile, BP and inflammatory state, in addition to significantly decreasing the common carotid artery IMT. Furthermore, this study demonstrated that the difference between baseline and final values of HOMA-IR (ΔHOMA-IR) was negatively correlated with concomitant changes in the adiponectin concentration (Δadiponectin; r=-0.42; P=0.02) and positively correlated with changes in common carotid artery IMT (Δcarotid IMT; r=0.41; P=0.03). Multiple regression analysis adjusted by age, cardiovascular risk factors and inflammatory markers showed that ΔHOMA-IR was an independent predictor of significant changes in common carotid artery IMT. This investigation demonstrated that an interdisciplinary weight-loss program promoted a reduction of the common carotid artery IMT in obese Brazilian adolescents, and the improvement of HOMA-IR was an independent predictor of carotid IMT changes in this population.

Reversible wall motion abnormality on adenosine stress/rest thallium-201 gated myocardial SPECT is an independent predictor of coronary artery disease

International Nuclear Information System (INIS)

Park, Eun Kyung; Lee, Won Woo; So, Young; Eo, Jae Seon; Lee, Dong Soo; Chung, June Key; Lee, Myung Chul; Kim, Sang Eun; Kim, Cheol Ho; Lee, Sang Woo

2004-01-01

As early as 10 minutes after adenosine stress, immediate post-stress wall motion (ipsWM) can be evaluated on adenosine stress/rest TI-201 gated SPECT (gSPECT). To widen application of TI-201 in gated SPECT, we investigated image quality, LV parameters (EF, EDV, and ESV) reproducibility, and diagnostic competency of gSPECT regarding ipsWM evaluation Myocardial perfusion and wall motion were evaluated by 5-point scoring system in 20-segment model. Image quality was assessed using weighted Kappa (Kw) for inter-and intra-observer agreements of wall motion scores (n=49). Reproducibility was examined through repeated acquisition (n=31). Diagnostic competency was evaluated versus coronary angiography (CAG) and multivariate logistic regression analysis was performed to identify significant predictors of coronary artery disease (CAD) among stress abnormal perfusion (SSSp), stress abnormal wall motion (SSSwm), and reversible abnormal wall motion (SDSwm) (n=60). Kw for ipsWM was significantly better than that for rest regarding inter- (0.717 vs 0.489) and intra-observer agreements (0.792 vs 0.688) (p<0.05). 2SD for ipsWM was smaller than that for rest at EF (8.6% vs 10.7%) and ESV (6.0ml vs 8.4ml). Sensitivities of SSSp, SSSwm, and SDSwm were 63.3% (19/30), 63.3% (19/30), and 43.3% (13/30) and specificities 83.3% (25/30), 83.3% (25/30), and 86.7% (26/30), respectively. By multivariate analysis, SSSp (p=0.013) and SDSwm (p=0.039) remained significant predictors. Additionally, SSSwm or SDSwm could find undetected CAD in 54.5% (6/11) of patients with normal perfusion. TI-201 can be successfully applied to gated SPECT for ipsWM evaluation. Moreover, reversible wall motion abnormality on gSPECT is an independent predictor of significant CAD

Importance of predictor variables for models of chemical function

Data.gov (United States)

U.S. Environmental Protection Agency — Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M....

Cerebral Microbleeds are an Independent Predictor of Hemorrhagic Transformation Following Intravenous Alteplase Administration in Acute Ischemic Stroke.

Science.gov (United States)

Nagaraja, Nandakumar; Tasneem, Nudrat; Shaban, Amir; Dandapat, Sudeepta; Ahmed, Uzair; Policeni, Bruno; Olalde, Heena; Shim, Hyungsub; Samaniego, Edgar A; Pieper, Connie; Ortega-Gutierrez, Santiago; Leira, Enrique C; Adams, Harold P

2018-05-01

Intravenous alteplase (rt-PA) increases the risk of hemorrhagic transformation of acute ischemic stroke. The objective of our study was to evaluate clinical, laboratory, and imaging predictors on forecasting the risk of hemorrhagic transformation following treatment with rt-PA. We also evaluated the factors associated with cerebral microbleeds that increase the risk of hemorrhagic transformation. Consecutive patients with acute ischemic stroke admitted between January 1, 2009 and December 31, 2013 were included in the study if they received IV rt-PA, had magnetic resonance imaging (MRI) of the brain on admission, and computed tomography or MRI of the brain at 24 (18-36) hours later to evaluate for the presence of hemorrhagic transformation. The clinical data, lipid levels, platelet count, MRI, and computed tomography images were retrospectively reviewed. The study included 366 patients, with mean age 67 ± 15 years; 46% were women and 88% were white. The median National Institutes of Health Stroke Scale (NIHSS) score was 6 (interquartile range 3-15). Hemorrhagic transformation was observed in 87 (23.8%) patients and cerebral microbleeds were noted in 95 (25.9%). Patients with hemorrhagic transformation tended to be older, nonwhite, have atrial fibrillation, higher baseline NIHSS score, lower cholesterol and triglyceride levels, and cerebral microbleeds and nonlacunar infarcts. Patients with cerebral microbleeds were more likely to be older, have hypertension, hyperlipidemia, previous history of stroke, and prior use of antithrombotics. On multivariate analysis race, NIHSS score, nonlacunar infarct, and presence of cerebral microbleeds were independently associated with hemorrhagic transformation following treatment with rt-PA. Presence of cerebral microbleeds is an independent predictor of hemorrhagic transformation of acute ischemic stroke following treatment with rt-PA. Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights

A diagrammatic construction of formal E-independent model hamiltonian

International Nuclear Information System (INIS)

Kvasnicka, V.

1977-01-01

A diagrammatic construction of formal E-independent model interaction (i.e., without second-quantization formalism) is suggested. The construction starts from the quasi-degenerate Brillouin-Wigner perturbation theory, in the framework of which an E-dependent model Hamiltonian is simply constructed. Applying the ''E-removing'' procedure to this E-dependent model Hamiltonian, the E-independent formal model Hamiltonian either Hermitian or non-Hermitian can diagrammatically be easily derived. For the formal E-independent model Hamiltonian the separability theorem is proved, which can be profitably used for a rather ''formalistic ''construction of a many-body E-independent model Hamiltonian

Bayesian modeling of measurement error in predictor variables using item response theory

NARCIS (Netherlands)

Fox, Gerardus J.A.; Glas, Cornelis A.W.

2000-01-01

This paper focuses on handling measurement error in predictor variables using item response theory (IRT). Measurement error is of great important in assessment of theoretical constructs, such as intelligence or the school climate. Measurement error is modeled by treating the predictors as unobserved

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting.

Science.gov (United States)

Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D

2018-01-01

Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for

Preoperative White Matter Lesions Are Independent Predictors of Long-Term Survival after Internal Carotid Endarterectomy

Directory of Open Access Journals (Sweden)

Niku Oksala

2014-06-01

Full Text Available Background: Cerebral white matter lesions (WMLs predict long-term survival of conservatively treated acute stroke patients with etiology other than carotid stenosis. In carotid endarterectomy patients, WMLs are associated with severe carotid stenosis and unstable plaques, with the risk of perioperative complications and with increased 30-day perioperative risk of death. However, no data exist on their effect on postoperative long-term survival, a factor important when considering the net benefit from carotid endarterectomy. Whether this effect is independent of classical risk factors and indications for surgery is not known either. We hypothesized that WMLs could be evaluated from preoperative routine computed tomography (CT scans and are predictors of postoperative survival, independent of classical cardiovascular risk factors, indication category and degree of carotid stenosis. Methods: A total of 353 of 481 (73.4% consecutive patients subjected to carotid endarterectomy due to different indications, i.e. asymptomatic stenosis (n = 28, 7.9%, amaurosis fugax (n = 52, 14.7%, transient ischemic attack (n = 135, 38.2% or ischemic stroke (n = 138, 39.1%, from prospective vascular registries during the years 2001-2010 with digital preoperative CT scans, were included in the study. WMLs were rated by a radiologist (Wahlund criteria in a blinded fashion. Internal carotid artery (ICA stenoses were angiographically graded (Results: WML severity could be assessed with a substantial intraobserver agreement (Spearman's rho 0.843, p Conclusions: WMLs in a preoperative CT scan provide a substantially reliable estimate of postoperative long-term survival of carotid endarterectomy patients independent of currently used criteria, i.e. cardiovascular risk factors, indication category and degree of ipsilateral ICA stenosis.

ARMAX, OE and SSIF model predictors for power transmission and ...

African Journals Online (AJOL)

Three mathematical model structures, namely: ARMAX, OE and a SSIF are first formulated followed by the formulation of their respective model predictors for the model identification and prediction of power transmission and distribution within Akure and its environs. A total of 51,350 data samples from the Power Holding ...

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting

Directory of Open Access Journals (Sweden)

Robert Suchting

2018-05-01

Full Text Available Rationale: Given datasets with a large or diverse set of predictors of aggression, machine learning (ML provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior.Objectives: The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5 polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults.Methods: The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a select variables from an initial set of 20 to build a model of trait aggression; and then (b reduce that model to maximize parsimony and generalizability.Results: From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ total score, with R2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect, childhood trauma (physical abuse and neglect, and the FKBP5_13 gene (rs1360780. The six-factor model approximated the initial eight-factor model at 99.4% of R2.Conclusions: Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for

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.

Multiple Imputation of Predictor Variables Using Generalized Additive Models

NARCIS (Netherlands)

de Jong, Roel; van Buuren, Stef; Spiess, Martin

2016-01-01

The sensitivity of multiple imputation methods to deviations from their distributional assumptions is investigated using simulations, where the parameters of scientific interest are the coefficients of a linear regression model, and values in predictor variables are missing at random. The

Bladder pressure measurements are an independent predictor of urinary tract infection in trauma patients.

Science.gov (United States)

Duane, Therèse M; Brown, Holly; Wolfe, Luke G; Malhotra, Ajai K; Aboutanos, Michel B; Ivatury, Rao R

2011-02-01

To determine the risk factors for urinary tract infections (UTIs) specific to trauma patients in order to assist in the development of infection control protocols. Data were collected prospectively from January 2003 until December 2005 by an epidemiology nurse and combined with registry data from our Level 1 trauma center. The trauma patients admitted to the Surgery and Trauma Intensive Care Unit (STICU)(n = 938) who did and did not have UTIs were compared for demographics, Injury Severity Score (ISS), and epidemiologic data, including use of Foley catheters and bladder pressure measurements (BPMs). An open system was used for the measurements in which the catheter was disconnected from the bag to instill 50 mL of saline into the bladder, and an 18-gauge needle was inserted into the catheter to measure the pressure. A total of 50 patients had no Foley catheter or UTIs. Among the 836 patients with catheters but no BPMs, there were 36 UTIs (4.31%), whereas the 52 patients with catheters and BPMs had 12 UTIs (23.08%)(p BPMs was an independent predictor of death (OR 2.475; CI 1.191-6.328). This is the first study that demonstrates a greater risk of UTI with BPM using the open technique independent of patient gender or degree of injury. Given these findings and a previous trial demonstrating no difference in UTI rates with a closed circuit for BPM, our institution has incorporated a closed circuit technique into its infection control protocol.

Development Parenting Model to Increase the Independence of Children

Science.gov (United States)

Sunarty, Kustiah; Dirawan, Gufran Darma

2015-01-01

This study examines parenting and the child's independence model. The research problem is whether there is a relationship between parenting and the child's independence. The purpose of research is to determine: firstly, the type of parenting in an effort to increase the independence of the child; and the relationship between parenting models and…

Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

KAUST Repository

Camilo, Daniela Castro; Lombardo, Luigi; Mai, Paul Martin; Dou, Jie; Huser, Raphaë l

2017-01-01

Grid-based landslide susceptibility models at regional scales are computationally demanding when using a fine grid resolution. Conversely, Slope-Unit (SU) based susceptibility models allows to investigate the same areas offering two main advantages: 1) a smaller computational burden and 2) a more geomorphologically-oriented interpretation. In this contribution, we generate SU-based landslide susceptibility for the Sado Island in Japan. This island is characterized by deep-seated landslides which we assume can only limitedly be explained by the first two statistical moments (mean and variance) of a set of predictors within each slope unit. As a consequence, in a nested experiment, we first analyse the distributions of a set of continuous predictors within each slope unit computing the standard deviation and quantiles from 0.05 to 0.95 with a step of 0.05. These are then used as predictors for landslide susceptibility. In addition, we combine shape indices for polygon features and the normalized extent of each class belonging to the outcropping lithology in a given SU. This procedure significantly enlarges the size of the predictor hyperspace, thus producing a high level of slope-unit characterization. In a second step, we adopt a LASSO-penalized Generalized Linear Model to shrink back the predictor set to a sensible and interpretable number, carrying only the most significant covariates in the models. As a result, we are able to document the geomorphic features (e.g., 95% quantile of Elevation and 5% quantile of Plan Curvature) that primarily control the SU-based susceptibility within the test area while producing high predictive performances. The implementation of the statistical analyses are included in a parallelized R script (LUDARA) which is here made available for the community to replicate analogous experiments.

Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

KAUST Repository

Camilo, Daniela Castro

2017-08-30

Grid-based landslide susceptibility models at regional scales are computationally demanding when using a fine grid resolution. Conversely, Slope-Unit (SU) based susceptibility models allows to investigate the same areas offering two main advantages: 1) a smaller computational burden and 2) a more geomorphologically-oriented interpretation. In this contribution, we generate SU-based landslide susceptibility for the Sado Island in Japan. This island is characterized by deep-seated landslides which we assume can only limitedly be explained by the first two statistical moments (mean and variance) of a set of predictors within each slope unit. As a consequence, in a nested experiment, we first analyse the distributions of a set of continuous predictors within each slope unit computing the standard deviation and quantiles from 0.05 to 0.95 with a step of 0.05. These are then used as predictors for landslide susceptibility. In addition, we combine shape indices for polygon features and the normalized extent of each class belonging to the outcropping lithology in a given SU. This procedure significantly enlarges the size of the predictor hyperspace, thus producing a high level of slope-unit characterization. In a second step, we adopt a LASSO-penalized Generalized Linear Model to shrink back the predictor set to a sensible and interpretable number, carrying only the most significant covariates in the models. As a result, we are able to document the geomorphic features (e.g., 95% quantile of Elevation and 5% quantile of Plan Curvature) that primarily control the SU-based susceptibility within the test area while producing high predictive performances. The implementation of the statistical analyses are included in a parallelized R script (LUDARA) which is here made available for the community to replicate analogous experiments.

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.

A quasi-independence model to estimate failure rates

International Nuclear Information System (INIS)

Colombo, A.G.

1988-01-01

The use of a quasi-independence model to estimate failure rates is investigated. Gate valves of nuclear plants are considered, and two qualitative covariates are taken into account: plant location and reactor system. Independence between the two covariates and an exponential failure model are assumed. The failure rate of the components of a given system and plant is assumed to be a constant, but it may vary from one system to another and from one plant to another. This leads to the analysis of a contingency table. A particular feature of the model is the different operating time of the components in the various cells which can also be equal to zero. The concept of independence of the covariates is then replaced by that of quasi-independence. The latter definition, however, is used in a broader sense than usual. Suitable statistical tests are discussed and a numerical example illustrates the use of the method. (author)

Left atrial volume index is an independent predictor of hypertensive response to exercise in patients with hypertension.

Science.gov (United States)

Lee, Sang-Eun; Youn, Jong-Chan; Lee, Hye Sun; Park, Sungha; Lee, Sang-Hak; Cho, In-Jeong; Shim, Chi Young; Hong, Geu-Ru; Choi, Donghoon; Kang, Seok-Min

2015-02-01

A hypertensive response to exercise (HRE) is known to be associated with higher risk of heart failure and future cardiovascular events in patients with hypertension. Left atrial volume index (LAVI) is associated with the diastolic dysfunction, indicating exercise intolerance. Therefore, we investigated whether LAVI is relevant to HRE during cardiopulmonary exercise test (CPET). We studied 118 consecutive hypertensive patients (61 men, 57±11 years) and 45 normotensive control subjects (16 men, 54±8 years). Clinical characteristics, CPET, echocardiographic and laboratory findings were assessed at the time of enrollment. HRE was defined as maximum systolic blood pressure (SBP)⩾210 mm Hg in men and ⩾190 mm Hg in women. HRE was more prevalent in hypertensive patients compared with normotensive control subjects (50.8% vs. 20.0%, PHRE in normotensive control subjects, as were baseline SBP and LAVI in hypertensive group. In multivariate analysis, LAVI was found to be an independent predictor of HRE in hypertensive patients (P=0.020) but not in normotensive control subjects (P=0.936) when controlled for age, sex, body mass index and peak oxygen consumption. Higher LAVI, reflecting the duration and severity of increased left atrial pressure is independently associated with HRE in hypertensive patients, but not in normotensive control subjects.

Pretherapy metabolic tumour volume is an independent predictor of outcome in patients with diffuse large B-cell lymphoma

Energy Technology Data Exchange (ETDEWEB)

Sasanelli, Myriam; Meignan, Michel; Haioun, Corinne; Itti, Emmanuel [Paris-Est University, Nuclear Medicine and Lymphoid Malignancies Unit, Henri Mondor Hospital, Creteil (France); Berriolo-Riedinger, Alina; Casasnovas, Rene-Olivier [Nuclear Medicine and Hematology, Georges-Francois Leclerc Center, Le Bocage Hospital, Dijon (France); Biggi, Alberto; Gallamini, Andrea [Nuclear Medicine and Hematology, Santa Croce e Carle Hospital, Cuneo (Italy); Siegel, Barry A.; Cashen, Amanda F. [Washington University School of Medicine, Nuclear Medicine and Oncology, Siteman Cancer Center, St. Louis, MO (United States); Vera, Pierre; Tilly, Herve [Nuclear Medicine and Hematology, Henri Becquerel Center, Rouen (France); Versari, Annibale [Nuclear Medicine, Santa Maria Nuova Hospital-IRCCS, Reggio Emilia (Italy)

2014-11-15

We investigated the prognostic value of total metabolic tumour volume (TMTV) in diffuse large B-cell lymphoma (DLBCL). TMTV was measured in 114 patients with newly diagnosed DLBCL who underwent {sup 18}F-FDG PET/CT at baseline before immunochemotherapy. TMTV was computed by summing the volumes of all lymphomatous lesions after applying the local SUVmax threshold of 41 % using semiautomatic software. Prognostic value was assessed by Kaplan-Meier estimates of progression-free survival (PFS) and overall survival (OS). Median follow-up was 39 months. Average pretherapy TMTV was 509 ± 568 cm{sup 3}. The 3-year estimates of PFS were 77 % in the low metabolic burden group (TMTV ≤550 cm{sup 3}) and 60 % in the high metabolic burden group (TMTV >550 cm{sup 3}, p = 0.04), and prediction of OS was even better (87 % vs. 60 %, p = 0.0003). Cox regression showed independence of TMTV for OS prediction (p = 0.002) compared with other pretherapy indices of tumour burden, such as tumour bulk and the International Prognostic Index. Pretherapy TMTV is an independent predictor of outcome in patients with DLBCL. (orig.)

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis

International Nuclear Information System (INIS)

Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M.; Bartholmai, B.J.; Rajagopalan, S.; Karwoski, R.; Della Casa, G.; Sugino, K.; Walsh, S.L.F.; Wells, A.U.

2017-01-01

Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis

Energy Technology Data Exchange (ETDEWEB)

Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M. [Royal Brompton and Harefield NHS Foundation Trust, Department of Radiology, Royal Brompton Hospital, London (United Kingdom); Bartholmai, B.J. [Mayo Clinic Rochester, Division of Radiology, Rochester, MN (United States); Rajagopalan, S.; Karwoski, R. [Mayo Clinic Rochester, Biomedical Imaging Resource, Rochester, MN (United States); Della Casa, G. [Universita degli Studi di Modena e Reggio Emilia, Modena, Emilia-Romagna (Italy); Sugino, K. [Toho University Omori Medical Centre, Tokyo (Japan); Walsh, S.L.F. [Kings College Hospital, London (United Kingdom); Wells, A.U. [Royal Brompton and Harefield NHS Foundation Trust, Interstitial Lung Disease Unit, Royal Brompton Hospital, London (United Kingdom)

2017-09-15

Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)

Sacubitril/valsartan reduces serum uric acid concentration, an independent predictor of adverse outcomes in PARADIGM-HF

DEFF Research Database (Denmark)

Mogensen, Ulrik M.; Køber, Lars; Jhund, Pardeep S.

2017-01-01

Aims: Elevated serum uric acid concentration (SUA) has been associated with an increased risk of cardiovascular disease, but this may be due to unmeasured confounders. We examined the association between SUA and outcomes as well as the effect of sacubitril/valsartan on SUA in patients with heart...... (adjusted hazard ratios) Q5 vs. Q1=1.28 [95% confidence intervals (1.09-1.50), P=0.003], cardiovascular death [1.44 (1.11-1.77), P=0.001], HF hospitalization [1.37 (1.11-1.70), P=0.004], and all-cause mortality [1.36 (1.13-1.64), P=0.001]. Compared with enalapril, sacubitril/valsartan reduced SUA by 0.24 (0.......17-0.32) mg/dL over 12months (PSacubitril/valsartan improved outcomes, irrespective of SUA concentration. Conclusion: Serum uric acid concentration was an independent predictor of worse outcomes after multivariable adjustment in patients with HFrEF. Compared with enalapril, sacubitril...

Measure of functional independence dominates discharge outcome prediction after inpatient rehabilitation for stroke.

Science.gov (United States)

Brown, Allen W; Therneau, Terry M; Schultz, Billie A; Niewczyk, Paulette M; Granger, Carl V

2015-04-01

Identifying clinical data acquired at inpatient rehabilitation admission for stroke that accurately predict key outcomes at discharge could inform the development of customized plans of care to achieve favorable outcomes. The purpose of this analysis was to use a large comprehensive national data set to consider a wide range of clinical elements known at admission to identify those that predict key outcomes at rehabilitation discharge. Sample data were obtained from the Uniform Data System for Medical Rehabilitation data set with the diagnosis of stroke for the years 2005 through 2007. This data set includes demographic, administrative, and medical variables collected at admission and discharge and uses the FIM (functional independence measure) instrument to assess functional independence. Primary outcomes of interest were functional independence measure gain, length of stay, and discharge to home. The sample included 148,367 people (75% white; mean age, 70.6±13.1 years; 97% with ischemic stroke) admitted to inpatient rehabilitation a mean of 8.2±12 days after symptom onset. The total functional independence measure score, the functional independence measure motor subscore, and the case-mix group were equally the strongest predictors for any of the primary outcomes. The most clinically relevant 3-variable model used the functional independence measure motor subscore, age, and walking distance at admission (r(2)=0.107). No important additional effect for any other variable was detected when added to this model. This analysis shows that a measure of functional independence in motor performance and age at rehabilitation hospital admission for stroke are predominant predictors of outcome at discharge in a uniquely large US national data set. © 2015 American Heart Association, Inc.

Simple Decision-Analytic Functions of the AUC for Ruling Out a Risk Prediction Model and an Added Predictor.

Science.gov (United States)

Baker, Stuart G

2018-02-01

When using risk prediction models, an important consideration is weighing performance against the cost (monetary and harms) of ascertaining predictors. The minimum test tradeoff (MTT) for ruling out a model is the minimum number of all-predictor ascertainments per correct prediction to yield a positive overall expected utility. The MTT for ruling out an added predictor is the minimum number of added-predictor ascertainments per correct prediction to yield a positive overall expected utility. An approximation to the MTT for ruling out a model is 1/[P (H(AUC model )], where H(AUC) = AUC - {½ (1-AUC)} ½ , AUC is the area under the receiver operating characteristic (ROC) curve, and P is the probability of the predicted event in the target population. An approximation to the MTT for ruling out an added predictor is 1 /[P {(H(AUC Model:2 ) - H(AUC Model:1 )], where Model 2 includes an added predictor relative to Model 1. The latter approximation requires the Tangent Condition that the true positive rate at the point on the ROC curve with a slope of 1 is larger for Model 2 than Model 1. These approximations are suitable for back-of-the-envelope calculations. For example, in a study predicting the risk of invasive breast cancer, Model 2 adds to the predictors in Model 1 a set of 7 single nucleotide polymorphisms (SNPs). Based on the AUCs and the Tangent Condition, an MTT of 7200 was computed, which indicates that 7200 sets of SNPs are needed for every correct prediction of breast cancer to yield a positive overall expected utility. If ascertaining the SNPs costs $500, this MTT suggests that SNP ascertainment is not likely worthwhile for this risk prediction.

Family and Cultural Predictors of Depression among Samoan American Middle and High School Students

Science.gov (United States)

Yeh, Christine J.; Borrero, Noah E.; Tito, Patsy

2013-01-01

This study investigated family intergenerational conflict and collective self-esteem as predictors of depression in a sample of 128 Samoan middle and high school students. Simultaneous regression analyses revealed that each independent variable significantly contributed to an overall model that accounted for 13% of the variance in depression.…

Serum potassium decline during hospitalization for acute decompensated heart failure is a predictor of 6-month mortality, independent of N-terminal pro-B-type natriuretic peptide levels: An individual patient data analysis.

Science.gov (United States)

Salah, Khibar; Pinto, Yigal M; Eurlings, Luc W; Metra, Marco; Stienen, Susan; Lombardi, Carlo; Tijssen, Jan G; Kok, Wouter E

2015-09-01

Limited data exist for the role of serum potassium changes during hospitalization for acute decompensated heart failure (ADHF). The present study investigated the long-term prognostic value of potassium changes during hospitalization in patients admitted for ADHF. Our study is a pooled individual patient data analysis assembled from 3 prospective cohorts comprising 754 patients hospitalized for ADHF. The endpoint was all-cause mortality within 180 days after discharge. Serum potassium levels and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels were measured at admission and at discharge. A percentage decrease >15% in serum potassium levels occurred in 96 (13%) patients, and an absolute decrease of >0.7 mmol/L in serum potassium levels occurred in 85 (12%) patients; and both were predictors of poor outcome independent of admission or discharge serum potassium. After the addition of other strong predictors of mortality-a 30% change in NT-proBNP during hospitalization, discharge levels of NT-proBNP, renal markers, and other relevant clinical variables-the multivariate hazard ratio of serum potassium percentage reduction of >15% remained an independent predictor of 180-day mortality (hazard ratio 2.06, 95% CI 1.14-3.73). A percentage serum potassium decline of >15% is an independent predictor of 180-day all-cause mortality on top of baseline potassium levels, NT-proBNP levels, renal variables, and other relevant clinical variables. This suggest that patients hospitalized for ADHF with a decline of >15% in serum potassium levels are at risk and thus monitoring and regulating of serum potassium level during hospitalization are needed in these patients. Copyright © 2015 Elsevier Inc. All rights reserved.

Model-independent cosmological constraints from growth and expansion

Science.gov (United States)

L'Huillier, Benjamin; Shafieloo, Arman; Kim, Hyungjin

2018-05-01

Reconstructing the expansion history of the Universe from Type Ia supernovae data, we fit the growth rate measurements and put model-independent constraints on some key cosmological parameters, namely, Ωm, γ, and σ8. The constraints are consistent with those from the concordance model within the framework of general relativity, but the current quality of the data is not sufficient to rule out modified gravity models. Adding the condition that dark energy density should be positive at all redshifts, independently of its equation of state, further constrains the parameters and interestingly supports the concordance model.

OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis.

Science.gov (United States)

Vajargah, Kianoush Fathi; Sadeghi-Bazargani, Homayoun; Mehdizadeh-Esfanjani, Robab; Savadi-Oskouei, Daryoush; Farhoudi, Mehdi

2012-01-01

The objective of the present study was to assess the comparable applicability of orthogonal projections to latent structures (OPLS) statistical model vs traditional linear regression in order to investigate the role of trans cranial doppler (TCD) sonography in predicting ischemic stroke prognosis. The study was conducted on 116 ischemic stroke patients admitted to a specialty neurology ward. The Unified Neurological Stroke Scale was used once for clinical evaluation on the first week of admission and again six months later. All data was primarily analyzed using simple linear regression and later considered for multivariate analysis using PLS/OPLS models through the SIMCA P+12 statistical software package. The linear regression analysis results used for the identification of TCD predictors of stroke prognosis were confirmed through the OPLS modeling technique. Moreover, in comparison to linear regression, the OPLS model appeared to have higher sensitivity in detecting the predictors of ischemic stroke prognosis and detected several more predictors. Applying the OPLS model made it possible to use both single TCD measures/indicators and arbitrarily dichotomized measures of TCD single vessel involvement as well as the overall TCD result. In conclusion, the authors recommend PLS/OPLS methods as complementary rather than alternative to the available classical regression models such as linear regression.

Early predictors of refractory status epilepticus: an international two-center study.

Science.gov (United States)

Sutter, R; Kaplan, P W; Marsch, S; Hammel, E M; Rüegg, S; Ziai, W C

2015-01-01

Status epilepticus (SE) refractory to first- and second-line antiepileptic drugs carries high mortality. Little is known on early prediction of refractory SE (RSE)—an essential tool for planning appropriate therapy. Our aim was to identify and validate independent early RSE predictors in adults. Clinical and laboratory data on consecutive intensive care unit patients with SE from two academic care centers (a derivation data set from a Swiss center and a validation data set from a US center) were assessed. Multivariable analysis was performed with the derivation set to identify RSE predictors at SE onset. Their external validity was evaluated with an independent validation set. Measures of calibration and discrimination were assessed. In all, 302 patients were analyzed (138 with and 164 without RSE), 171 in the derivation data set and 131 in the validation data set. Acute SE etiology, coma/stupor and serum albumin RSE in the derivation data set [odds ratio (OR) 2.02, 95% confidence interval (CI) 1.01-4.07; OR 4.83, 95% CI 2.42-9.68; OR 2.45, 95% CI 1.16-5.16]. The prediction model showed good measures of calibration (Hosmer-Lemesow goodness-of-fit test P = 0.99) and discrimination (area under the receiver operating characteristic curve 0.8) on the derivation data set—results that were similar in the validation data set (Hosmer-Lemeshow P = 0.24; area under the receiver operating characteristic curve 0.73). This study confirms the independent prognostic value of readily available parameters for early RSE prediction. Prospective studies are needed to identify additional robust predictors, which could be added to the proposed model for further optimization towards a reliable prediction scoring system. © 2014 EAN.

Early Childhood Diarrhea Predicts Cognitive Delays in Later Childhood Independently of Malnutrition.

Science.gov (United States)

Pinkerton, Relana; Oriá, Reinaldo B; Lima, Aldo A M; Rogawski, Elizabeth T; Oriá, Mônica O B; Patrick, Peter D; Moore, Sean R; Wiseman, Benjamin L; Niehaus, Mark D; Guerrant, Richard L

2016-11-02

Understanding the complex relationship between early childhood infectious diseases, nutritional status, poverty, and cognitive development is significantly hindered by the lack of studies that adequately address confounding between these variables. This study assesses the independent contributions of early childhood diarrhea (ECD) and malnutrition on cognitive impairment in later childhood. A cohort of 131 children from a shantytown community in northeast Brazil was monitored from birth to 24 months for diarrhea and anthropometric status. Cognitive assessments including Test of Nonverbal Intelligence (TONI), coding tasks (WISC-III), and verbal fluency (NEPSY) were completed when children were an average of 8.4 years of age (range = 5.6-12.7 years). Multivariate analysis of variance models were used to assess the individual as well as combined effects of ECD and stunting on later childhood cognitive performance. ECD, height for age (HAZ) at 24 months, and weight for age (WAZ) at 24 months were significant univariate predictors of the studies three cognitive outcomes: TONI, coding, and verbal performance (P < 0.05). Multivariate models showed that ECD remained a significant predictor, after adjusting for the effect of 24 months HAZ and WAZ, for both TONI (HAZ, P = 0.029 and WAZ, P = 0.006) and coding (HAZ, P = 0.025 and WAZ, P = 0.036) scores. WAZ and HAZ were also significant predictors after adjusting for ECD. ECD remained a significant predictor of coding (WISC III) after number of household income was considered (P = 0.006). This study provides evidence that ECD and stunting may have independent effects on children's intellectual function well into later childhood. © The American Society of Tropical Medicine and Hygiene.

Sarcopenia is an Independent Predictor of Severe Postoperative Complications and Long-Term Survival After Radical Gastrectomy for Gastric Cancer

Science.gov (United States)

Zhuang, Cheng-Le; Huang, Dong-Dong; Pang, Wen-Yang; Zhou, Chong-Jun; Wang, Su-Lin; Lou, Neng; Ma, Liang-Liang; Yu, Zhen; Shen, Xian

2016-01-01

Abstract Currently, the association between sarcopenia and long-term prognosis after gastric cancer surgery has not been investigated. Moreover, the association between sarcopenia and postoperative complications remains controversial. This large-scale retrospective study aims to ascertain the prevalence of sarcopenia and assess its impact on postoperative complications and long-term survival in patients undergoing radical gastrectomy for gastric cancer. From December 2008 to April 2013, the clinical data of all patients who underwent elective radical gastrectomy for gastric cancer were collected prospectively. Only patients with available preoperative abdominal CT scan within 30 days of surgery were considered for analysis. Skeletal muscle mass was determined by abdominal (computed tomography) CT scan, and sarcopenia was diagnosed by the cut-off values obtained by means of optimum stratification. Univariate and multivariate analyses evaluating risk factors of postoperative complications and long-term survival were performed. A total of 937 patients were included in this study, and 389 (41.5%) patients were sarcopenic based on the diagnostic cut-off values (34.9 cm2/m2 for women and 40.8 cm2/m2 for men). Sarcopenia was an independent risk factor for severe postoperative complications (OR = 3.010, P sarcopenia did not show significant association with operative mortality. Moreover, sarcopenia was an independent predictor for poorer overall survival (HR = 1.653, P sarcopenia remained an independent risk factor for overall survival and disease-free survival in patients with TNM stage II and III, but not in patients with TNM stage I. Sarcopenia is an independent predictive factor of severe postoperative complications after radical gastrectomy for gastric cancer. Moreover, sarcopenia is independently associated with overall and disease-free survival in patients with TNM stage II and III, but not in patients with TNM stage I. PMID:27043677

One-year Mortality after an Acute Coronary Event and its Clinical Predictors: The ERICO Study

Directory of Open Access Journals (Sweden)

Itamar Souza Santos

2015-01-01

Full Text Available Background: Information about post-acute coronary syndrome (ACS survival have been mostly short-term findings or based on specialized, cardiology referral centers. Objectives: To describe one-year case-fatality rates in the Strategy of Registry of Acute Coronary Syndrome (ERICO cohort, and to study baseline characteristics as predictors. Methods: We analyzed data from 964 ERICO participants enrolled from February 2009 to December 2012. We assessed vital status by telephone contact and official death certificate searches. The cause of death was determined according to the official death certificates. We used log-rank tests to compare the probabilities of survival across subgroups. We built crude and adjusted (for age, sex and ACS subtype Cox regression models to study if the ACS subtype or baseline characteristics were independent predictors of all-cause or cardiovascular mortality. Results: We identified 110 deaths in the cohort (case-fatality rate, 12.0%. Age [Hazard ratio (HR = 2.04 per 10 year increase; 95% confidence interval (95%CI = 1.75–2.38], non-ST elevation myocardial infarction (HR = 3.82 ; 95%CI = 2.21–6.60 or ST elevation myocardial infarction (HR = 2.59; 95%CI = 1.38–4.89 diagnoses, and diabetes (HR = 1.78; 95%CI = 1.20‑2.63 were significant risk factors for all-cause mortality in the adjusted models. We found similar results for cardiovascular mortality. A previous coronary artery disease diagnosis was also an independent predictor of all-cause mortality (HR = 1.61; 95%CI = 1.04–2.50, but not for cardiovascular mortality. Conclusion: We found an overall one-year mortality rate of 12.0% in a sample of post-ACS patients in a community, non-specialized hospital in São Paulo, Brazil. Age, ACS subtype, and diabetes were independent predictors of poor one‑year survival for overall and cardiovascular-related causes.

PPM-One: a static protein structure based chemical shift predictor

International Nuclear Information System (INIS)

Li, Dawei; Brüschweiler, Rafael

2015-01-01

We mined the most recent editions of the BioMagResDataBank and the protein data bank to parametrize a new empirical knowledge-based chemical shift predictor of protein backbone atoms using either a linear or an artificial neural network model. The resulting chemical shift predictor PPM-One accepts a single static 3D structure as input and emulates the effect of local protein dynamics via interatomic steric contacts. Furthermore, the chemical shift prediction was extended to most side-chain protons and it is found that the prediction accuracy is at a level allowing an independent assessment of stereospecific assignments. For a previously established set of test proteins some overall improvement was achieved over current top-performing chemical shift prediction programs

Electrical storm is an independent predictor of adverse long-term outcome in the era of implantable defibrillator therapy.

Science.gov (United States)

Gatzoulis, Konstantinos A; Andrikopoulos, George K; Apostolopoulos, Theodoros; Sotiropoulos, Elias; Zervopoulos, George; Antoniou, John; Brili, Stella; Stefanadis, Christodoulos I

2005-03-01

Electrical storm (ES) is a life-threatening arrhythmia complication affecting patients treated with an implantable cardioverter defibrillator (ICD). Despite its increasing importance, existing data on prognosis and management of ICD patients affected by ES are limited and conflicting. We prospectively studied 169 consecutive patients receiving an ICD. Thirty-two patients presented with at least one episode of ES during the period of observation (33+/-26 months). ES patients were older (64+/-9 vs. 59+/-13 years, P=0.013) with more advanced congestive heart failure (CHF) but a similar incidence of an underlying organic heart disease. Long-term total and cardiac mortality were both increased among ES patients. Seventeen of the 32 ES patients died as opposed to 19 of the 137 ICD patients without ES (53 vs. 14%, P<0.001). In multivariate Cox regression analysis adjusted for the main confounders, history of ES was significantly and independently associated with total and cardiac mortality (risk ratio (RR)=2.13, P=0.031 and RR=2.59, P=0.019, respectively). ES is a relatively frequent complication affecting ICD patients treated for secondary prevention of sudden cardiac death (SCD). Although the acute management of this serious arrhythmia complication is usually successful, occurrence of ES is a strong independent predictor of poor outcome in ICD patients.

Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer

Directory of Open Access Journals (Sweden)

Michelle Buehler

2013-01-01

Full Text Available Seeking new biomarkers for epithelial ovarian cancer, the fifth most common cause of death from all cancers in women and the leading cause of death from gynaecological malignancies, we performed a meta-analysis of three independent studies and compared the results in regard to clinicopathological parameters. This analysis revealed that GAS6 was highly expressed in ovarian cancer and therefore was selected as our candidate of choice. GAS6 encodes a secreted protein involved in physiological processes including cell proliferation, chemotaxis, and cell survival. We performed immunohistochemistry on various ovarian cancer tissues and found that GAS6 expression was elevated in tumour tissue samples compared to healthy control samples (. In addition, GAS6 expression was also higher in tumours from patients with residual disease compared to those without. Our data propose GAS6 as an independent predictor of poor survival, suggesting GAS6, both on the mRNA and on the protein level, as a potential biomarker for ovarian cancer. In clinical practice, the staining of a tumour biopsy for GAS6 may be useful to assess cancer prognosis and/or to monitor disease progression.

Concurrent sexual partners-A predictor of Chlamydia

DEFF Research Database (Denmark)

Jørgensen, Marianne Johansson; Olesen, Frede; Maindal, Helle Terkildsen

2013-01-01

, but the significance of this compared with other well-known predictors has only been briefly described. Aim: The aim is to examine if concurrent partners isan independent predictor for C. trachomatis infection in young Danes aged 15-29 years. Methods: Detailed sexual behavior data were collected via a web......:These preliminary results suggest that concurrent sexual partners is an important predictor for C.trachomatis infections among young Danes aged 15-29. A more concise conclusion will be presented at the Ph.D day......Background:Chlamydia trachomatis is the most common sexually transmitted bacterial infection among young Danes and the spread is highly dependent on the population’s sexual behavior. Previous studies have found concurrent partnerships to be a possible predictor for C. trachomatis...

Relating masses and mixing angles. A model-independent model

Energy Technology Data Exchange (ETDEWEB)

Hollik, Wolfgang Gregor [DESY, Hamburg (Germany); Saldana-Salazar, Ulises Jesus [CINVESTAV (Mexico)

2016-07-01

In general, mixing angles and fermion masses are seen to be independent parameters of the Standard Model. However, exploiting the observed hierarchy in the masses, it is viable to construct the mixing matrices for both quarks and leptons in terms of the corresponding mass ratios only. A closer view on the symmetry properties leads to potential realizations of that approach in extensions of the Standard Model. We discuss the application in the context of flavored multi-Higgs models.

How Many Separable Sources? Model Selection In Independent Components Analysis

Science.gov (United States)

Woods, Roger P.; Hansen, Lars Kai; Strother, Stephen

2015-01-01

Unlike mixtures consisting solely of non-Gaussian sources, mixtures including two or more Gaussian components cannot be separated using standard independent components analysis methods that are based on higher order statistics and independent observations. The mixed Independent Components Analysis/Principal Components Analysis (mixed ICA/PCA) model described here accommodates one or more Gaussian components in the independent components analysis model and uses principal components analysis to characterize contributions from this inseparable Gaussian subspace. Information theory can then be used to select from among potential model categories with differing numbers of Gaussian components. Based on simulation studies, the assumptions and approximations underlying the Akaike Information Criterion do not hold in this setting, even with a very large number of observations. Cross-validation is a suitable, though computationally intensive alternative for model selection. Application of the algorithm is illustrated using Fisher's iris data set and Howells' craniometric data set. Mixed ICA/PCA is of potential interest in any field of scientific investigation where the authenticity of blindly separated non-Gaussian sources might otherwise be questionable. Failure of the Akaike Information Criterion in model selection also has relevance in traditional independent components analysis where all sources are assumed non-Gaussian. PMID:25811988

Age and gender as independent predictors of violence under the influence of alcohol in Zurich, Switzerland.

Science.gov (United States)

Mica, Ladislav; Oesterle, Linda; Werner, Clément M L; Simmen, Hans-Peter

2015-04-08

Violent behaviour associated with alcohol consumption is frequently reported by different media. Clinical data analysing the correlation between alcohol intoxication, age, gender and violence are scarce. The aim of this study was to evaluate the influence of age, gender and blood alcohol content on violent behaviour under the influence of alcohol under central European conditions. Three hundred patients admitted to the emergency department were included into this study in the time period from January 01. to December 31. 2009. The inclusion criteria were a blood alcohol content (BAC) of ≥10 mmol/l, any traumatic injury and an age ≥16 years. Violence was defined as an evitable act committed by others leading to patient's hospitalisation. The data were compared with Wilcoxon and χ2-test for proportions. The data were considered as significant if pviolence with no correlation to blood alcohol content found. Logistic regression analysis revealed male gender and young age as an independent predictor for violence. These results clarify the relationship between alcohol, age, gender and violence and have important implications for municipal-level alcohol policies.

Predictors of Discharge Disposition in Older Adults With Burns: A Study of the Burn Model Systems.

Science.gov (United States)

Pham, Tam N; Carrougher, Gretchen J; Martinez, Erin; Lezotte, Dennis; Rietschel, Carly; Holavanahalli, Radha; Kowalske, Karen; Esselman, Peter C

2015-01-01

Older patients with burn injury have a greater likelihood for discharge to nursing facilities. Recent research indicates that older patients discharged to nursing facilities are two to three times as likely to die within a 3-year period relative to those discharged to home. In light of these poor long-term outcomes, we conducted this study to identify predictors for discharge to independent vs nonindependent living status in older patients hospitalized for burns. We retrospectively reviewed all older adults (age ≥ 55 years) who were prospectively enrolled in a longitudinal multicenter study of outcomes from 1993 to 2011. Patient, injury, and treatment outcomes data were analyzed. Recognizing that transfer to inpatient rehabilitation may have impacted final hospital discharge disposition: we assessed the likelihood of inpatient rehabilitation stay, based on identified predictors of inpatient rehabilitation. We subsequently performed a logistic regression analysis on the clustered, propensity-matched cohort to assess associations of burn and injury characteristics on the primary outcome of final discharge status. A total of 591 patients aged ≥55 years were treated and discharged alive from three participating U.S. burn centers during the study period. Mean burn size was 14.8% (SD 11.2%) and mean age was 66.7 years (SD 9.3 years). Ninety-three patients had an inpatient rehabilitation stay before discharge (15.7%). Significant factors predictive of inpatient rehabilitation included a burn >20% TBSA, mechanical ventilation, older age, range of motion deficits at acute care discharge, and study site. These factors were included in the propensity model. Four hundred seventy-one patients (80%) were discharged to independent living status. By matched propensity analysis, older age was significantly associated with a higher likelihood of discharge to nonindependent living (P burn centers need to be elucidated to better understand discharge disposition status in older

Predictors of Diabetic Retinopathy in Patients with Type 2 Diabetes ...

African Journals Online (AJOL)

Predictors of Diabetic Retinopathy in Patients with Type 2 Diabetes Who Have Normoalbuminuria. R Karoli, J Fatima, V Shukla, P Garg, A Ali. Abstract. Background: Microalbuminuria is an independent predictor of retinopathy, so absence of microalbuminuria may tend clinician not to screen for diabetic retinopathy (DR).

Predictors of persistent pain after total knee arthroplasty: a systematic review and meta-analysis.

Science.gov (United States)

Lewis, G N; Rice, D A; McNair, P J; Kluger, M

2015-04-01

Several studies have identified clinical, psychosocial, patient characteristic, and perioperative variables that are associated with persistent postsurgical pain; however, the relative effect of these variables has yet to be quantified. The aim of the study was to provide a systematic review and meta-analysis of predictor variables associated with persistent pain after total knee arthroplasty (TKA). Included studies were required to measure predictor variables prior to or at the time of surgery, include a pain outcome measure at least 3 months post-TKA, and include a statistical analysis of the effect of the predictor variable(s) on the outcome measure. Counts were undertaken of the number of times each predictor was analysed and the number of times it was found to have a significant relationship with persistent pain. Separate meta-analyses were performed to determine the effect size of each predictor on persistent pain. Outcomes from studies implementing uni- and multivariable statistical models were analysed separately. Thirty-two studies involving almost 30 000 patients were included in the review. Preoperative pain was the predictor that most commonly demonstrated a significant relationship with persistent pain across uni- and multivariable analyses. In the meta-analyses of data from univariate models, the largest effect sizes were found for: other pain sites, catastrophizing, and depression. For data from multivariate models, significant effects were evident for: catastrophizing, preoperative pain, mental health, and comorbidities. Catastrophizing, mental health, preoperative knee pain, and pain at other sites are the strongest independent predictors of persistent pain after TKA. © The Author 2014. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Wrong to be Right: Margin Laterality is an Independent Predictor of Biochemical Failure After Radical Prostatectomy.

Science.gov (United States)

Kang, Jung J; Reiter, Robert E; Kummer, Nicolas; DeKernion, Jean; Steinberg, Michael L; King, Christopher R

2018-01-01

To examine the impact of positive surgical margin (PSM) laterality on failure after radical prostatectomy (RP). A PSM can influence local recurrence and outcomes after salvage radiation. Unlike intrinsic risk factors, a PSM is caused by intervention and thus iatrogenic failures may be elucidated by analyzing margin laterality as surgical approach is itself lateralized. We reviewed 226 RP patients between 1991 and 2013 with PSM. Data includes operation type, pre/postoperative PSA, surgical pathology, and margin type (location, focality, laterality). The median follow-up was 47 months. Biochemical recurrence after RP was defined as PSA≥0.1 ng/mL or 2 consecutive rises above nadir. Ninety-two patients received salvage radiation therapy (SRT). Failure after SRT was defined as any PSA≥0.2 ng/mL or greater than presalvage. Kaplan-Meier and Cox multivariate analyses compared relapse rates. The majority of PSM were iatrogenic (58%). Laterality was associated with differences in median relapse: right 20 versus left 51 versus bilateral 14 months (PRight-sided margins were more likely to progress than left (hazard ratio, 1.67; P=0.04). More right-sided margins were referred for SRT (55% right vs. 23% left vs. 22% bilateral), but were equally salvaged. Only T-stage and pre-SRT PSA independently influenced SRT success. Most PSM are iatrogenic, with right-sided more likely to progress (and sooner) than left sided. Margin laterality is a heretofore unrecognized independent predictor of biochemical relapse and hints at the need to modify the traditional unilateral surgical technique.

Independent Component Analysis in Multimedia Modeling

DEFF Research Database (Denmark)

Larsen, Jan

2003-01-01

largely refers to text, images/video, audio and combinations of such data. We review a number of applications within single and combined media with the hope that this might provide inspiration for further research in this area. Finally, we provide a detailed presentation of our own recent work on modeling......Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world. The objective of this paper is to demonstrate the potential of independent component analysis and blind sources separation methods for modeling and understanding of multimedia data, which...

Stable 1-Norm Error Minimization Based Linear Predictors for Speech Modeling

DEFF Research Database (Denmark)

Giacobello, Daniele; Christensen, Mads Græsbøll; Jensen, Tobias Lindstrøm

2014-01-01

In linear prediction of speech, the 1-norm error minimization criterion has been shown to provide a valid alternative to the 2-norm minimization criterion. However, unlike 2-norm minimization, 1-norm minimization does not guarantee the stability of the corresponding all-pole filter and can generate...... saturations when this is used to synthesize speech. In this paper, we introduce two new methods to obtain intrinsically stable predictors with the 1-norm minimization. The first method is based on constraining the roots of the predictor to lie within the unit circle by reducing the numerical range...... based linear prediction for modeling and coding of speech....

Model-independent curvature determination with 21cm intensity mapping experiments

Science.gov (United States)

Witzemann, Amadeus; Bull, Philip; Clarkson, Chris; Santos, Mario G.; Spinelli, Marta; Weltman, Amanda

2018-04-01

Measurements of the spatial curvature of the Universe have improved significantly in recent years, but still tend to require strong assumptions to be made about the equation of state of dark energy (DE) in order to reach sub-percent precision. When these assumptions are relaxed, strong degeneracies arise that make it hard to disentangle DE and curvature, degrading the constraints. We show that forthcoming 21cm intensity mapping experiments such as HIRAX are ideally designed to carry out model-independent curvature measurements, as they can measure the clustering signal at high redshift with sufficient precision to break many of the degeneracies. We consider two different model-independent methods, based on `avoiding' the DE-dominated regime and non-parametric modelling of the DE equation of state respectively. Our forecasts show that HIRAX will be able to improve upon current model-independent constraints by around an order of magnitude, reaching percent-level accuracy even when an arbitrary DE equation of state is assumed. In the same model-independent analysis, the sample variance limit for a similar survey is another order of magnitude better.

Model-independent effects of Δ excitation in nucleon polarizabilities

International Nuclear Information System (INIS)

Pascalutsa, Vladimir; Phillips, Daniel R.

2003-01-01

Model-independent effects of Δ(1232) excitation on nucleon polarizabilities are computed in a Lorentz-invariant fashion. We find a large effect of relative order (M Δ -M)/M in some of the spin polarizabilities, with the backward spin polarizability receiving the largest contribution. Similar subleading effects are found to be important in the fourth-order spin-independent polarizabilities α Eν , α E2 , β Mν , and β M2 . Combining our results with those for the model-independent effects of pion loops we obtain predictions for spin and fourth-order polarizabilities which compare favorably with the results of a recent dispersion-relation analysis of data

Depressed heart rate variability as an independent predictor of death in chronic congestive heart failure secondary to ischemic or idiopathic dilated cardiomyopathy.

Science.gov (United States)

Ponikowski, P; Anker, S D; Chua, T P; Szelemej, R; Piepoli, M; Adamopoulos, S; Webb-Peploe, K; Harrington, D; Banasiak, W; Wrabec, K; Coats, A J

1997-06-15

After acute myocardial infarction, depressed heart rate variability (HRV) has been proven to be a powerful independent predictor of a poor outcome. Although patients with chronic congestive heart failure (CHF) have also markedly impaired HRV, the prognostic value of HRV analysis in these patients remains unknown. The aim of this study was to investigate whether HRV parameters could predict survival in 102 consecutive patients with moderate to severe CHF (90 men, mean age 58 years, New York Heart Association [NYHA] class II to IV, CHF due to idiopathic dilated cardiomyopathy in 24 patients and ischemic heart disease in 78 patients, ejection fraction [EF], 26%; peak oxygen consumption, 16.9 ml/kg/min) after exclusion of patients in atrial fibrilation with diabetes or with chronic renal failure. In the prognostic analysis (Cox proportional-hazards model, Kaplan-Meier survival analysis), the following factors were investigated: age, CHF etiology, NYHA class, EF, peak oxygen consumption, presence of ventricular tachycardia on Holter monitoring, and HRV measures derived from 24-hour electrocardiography monitoring, calculated in the time (standard deviation of all normal RR intervals [SDNN], standard deviation of 5-minute RR intervals [SDANN], mean of all 5-minute standard deviations of RR intervals [SD], root-mean-square of difference of successive RR intervals [rMSSD], and percentage of adjacent RR intervals >50 ms different [pNN50]) and frequency domain (total power [TP], power within low-frequency band [LF], and power within high-frequency band [HF]). During follow-up of 584 +/- 405 days (365 days in all who survived), 19 patients (19%) died (mean time to death: 307 +/- 315 days, range 3 to 989). Cox's univariate analysis identified the following factors to be predictors of death: NYHA (p = 0.003), peak oxygen consumption (p = 0.01), EF (p = 0.02), ventricular tachycardia on Holter monitoring (p = 0.05), and among HRV measures: SDNN (p = 0.004), SDANN (p = 0.003), SD

Techniques to extract physical modes in model-independent analysis of rings

International Nuclear Information System (INIS)

Wang, C.-X.

2004-01-01

A basic goal of Model-Independent Analysis is to extract the physical modes underlying the beam histories collected at a large number of beam position monitors so that beam dynamics and machine properties can be deduced independent of specific machine models. Here we discuss techniques to achieve this goal, especially the Principal Component Analysis and the Independent Component Analysis.

A predictor-corrector algorithm to estimate the fractional flow in oil-water models

International Nuclear Information System (INIS)

Savioli, Gabriela B; Berdaguer, Elena M Fernandez

2008-01-01

We introduce a predictor-corrector algorithm to estimate parameters in a nonlinear hyperbolic problem. It can be used to estimate the oil-fractional flow function from the Buckley-Leverett equation. The forward model is non-linear: the sought- for parameter is a function of the solution of the equation. Traditionally, the estimation of functions requires the selection of a fitting parametric model. The algorithm that we develop does not require a predetermined parameter model. Therefore, the estimation problem is carried out over a set of parameters which are functions. The algorithm is based on the linearization of the parameter-to-output mapping. This technique is new in the field of nonlinear estimation. It has the advantage of laying aside parametric models. The algorithm is iterative and is of predictor-corrector type. We present theoretical results on the inverse problem. We use synthetic data to test the new algorithm.

Serum ferritin is an independent predictor of histologic severity and advanced fibrosis in patients with nonalcoholic fatty liver disease.

Science.gov (United States)

Kowdley, Kris V; Belt, Patricia; Wilson, Laura A; Yeh, Matthew M; Neuschwander-Tetri, Brent A; Chalasani, Naga; Sanyal, Arun J; Nelson, James E

2012-01-01

Serum ferritin (SF) levels are commonly elevated in patients with nonalcoholic fatty liver disease (NAFLD) because of systemic inflammation, increased iron stores, or both. The aim of this study was to examine the relationship between elevated SF and NAFLD severity. Demographic, clinical, histologic, laboratory, and anthropometric data were analyzed in 628 adult patients with NAFLD (age, ≥ 18 years) with biopsy-proven NAFLD and an SF measurement within 6 months of their liver biopsy. A threshold SF >1.5 × upper limit of normal (ULN) (i.e., >300 ng/mL in women and >450 ng/mL in men) was significantly associated with male sex, elevated serum alanine aminotransferase, aspartate aminotransferase, iron, transferrin-iron saturation, iron stain grade, and decreased platelets (P 1.5 × ULN, including steatosis, fibrosis, hepatocellular ballooning, and diagnosis of NASH (P 1.5 × ULN was independently associated with advanced hepatic fibrosis (odds ratio [OR], 1.66; 95% confidence interval [CI], 1.05-2.62; P = 0.028) and increased NAFLD Activity Score (NAS) (OR, 1.99; 95% CI, 1.06-3.75; P = 0.033). A SF >1.5 × ULN is associated with hepatic iron deposition, a diagnosis of NASH, and worsened histologic activity and is an independent predictor of advanced hepatic fibrosis among patients with NAFLD. Furthermore, elevated SF is independently associated with higher NAS, even among patients without hepatic iron deposition. We conclude that SF is useful to identify NAFLD patients at risk for NASH and advanced fibrosis. Copyright © 2011 American Association for the Study of Liver Diseases.

Predictors of physical performance and functional ability in people 50+ with and without fibromyalgia.

Science.gov (United States)

Jones, C Jessie; Rutledge, Dana N; Aquino, Jordan

2010-07-01

The purposes of this study were to determine whether people with and without fibromyalgia (FM) age 50 yr and above showed differences in physical performance and perceived functional ability and to determine whether age, gender, depression, and physical activity level altered the impact of FM status on these factors. Dependent variables included perceived function and 6 performance measures (multidimensional balance, aerobic endurance, overall functional mobility, lower body strength, and gait velocity-normal or fast). Independent (predictor) variables were FM status, age, gender, depression, and physical activity level. Results indicated significant differences between adults with and without FM on all physical-performance measures and perceived function. Linear-regression models showed that the contribution of significant predictors was in expected directions. All regression models were significant, accounting for 16-65% of variance in the dependent variables.

Model-independent curvature determination with 21 cm intensity mapping experiments

Science.gov (United States)

Witzemann, Amadeus; Bull, Philip; Clarkson, Chris; Santos, Mario G.; Spinelli, Marta; Weltman, Amanda

2018-06-01

Measurements of the spatial curvature of the Universe have improved significantly in recent years, but still tend to require strong assumptions to be made about the equation of state of dark energy (DE) in order to reach sub-percent precision. When these assumptions are relaxed, strong degeneracies arise that make it hard to disentangle DE and curvature, degrading the constraints. We show that forthcoming 21 cm intensity mapping experiments such as Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) are ideally designed to carry out model-independent curvature measurements, as they can measure the clustering signal at high redshift with sufficient precision to break many of the degeneracies. We consider two different model-independent methods, based on `avoiding' the DE-dominated regime and non-parametric modelling of the DE equation of state, respectively. Our forecasts show that HIRAX will be able to improve upon current model-independent constraints by around an order of magnitude, reaching percent-level accuracy even when an arbitrary DE equation of state is assumed. In the same model-independent analysis, the sample variance limit for a similar survey is another order of magnitude better.

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....

The Predictors of Diet Quality among Australian Children Aged 3.5 Years.

Science.gov (United States)

Collins, Laura J; Lacy, Kathleen E; Campbell, Karen J; McNaughton, Sarah A

2016-07-01

It is critical to promote healthy eating early in life. The aim of this study was to examine diet quality and its predictors among Australian preschool-aged children. Diet was assessed at age 3.5 years using multiple 24-hour recalls. Diet quality was assessed using an adapted version of the Revised Children's Diet Quality Index (RC-DQI). Potential predictors of diet quality were from questionnaires at age 3, 9, and 18 months and informed by the ecologic model of childhood overweight. Potential predictors included child's sex, age of introduction to solid foods, breastfeeding status, food acceptance, maternal nutrition knowledge, modeling of healthy eating, self-efficacy, education, and home food availability. Data from 244 children participating in the Melbourne Infant Feeding, Activity, and Nutrition Trial in 2008-2010 and follow-up data collection in 2011-2013 were examined. Diet quality at age 3.5 years. Bivariate logistic regression was performed to assess the relationship between diet quality and each predictor. A multivariable logistic regression model accounting for influences of covariates, treatment arm, and clustering by group tested associations between diet quality and significant predictors from bivariate analyses. RC-DQI scores had a mean±standard deviation score of 62.8±8.3 points out of a maximum of 85 points. Breastfeeding status (odds ratio [OR] 2.34, 95% CI 1.33 to 4.10) and maternal modeling of healthy eating (OR 1.75, 95% CI 1.01 to 3.03) were positively associated with RC-DQI scores. Both breastfeeding status (OR 3.09, 95% CI 1.63 to 5.85) and modeling (OR 2.01, 95% CI 1.04 to 3.88) remained positively associated with diet quality after adjustment for child age, body mass index z score, energy intake, treatment arm, and clustering. Breastfeeding status and modeling of healthy eating were independently associated with children's diet quality. Early intervention could assist mothers to practice these behaviors to provide support for improving

Year of treatment as independent predictor of relapse-free survival in patients with localized prostate cancer treated with definitive radiotherapy in the PSA era

International Nuclear Information System (INIS)

Kupelian, Patrick; Thames, Howard; Levy, Larry; Horwitz, Eric; Martinez, Alvaro; Michalski, Jeff; Pisansky, Thomas; Sandler, Howard; Shipley, William; Zelefsky, Michael; Zietman, Anthony; Kuban, Deborah

2005-01-01

Purpose: To study the use of the year of therapy as an independent predictor of outcomes, serving as a proxy for time-related changes in therapy and tumor factors in the treatment of prostate cancer. Accounting for these changes would facilitate the retrospective comparison of outcomes for patients treated in different periods. Methods and Materials: Nine institutions combined data on 4,537 patients with Stages T1 and T2 adenocarcinoma of the prostate who had a pretherapy prostate-specific antigen (PSA) level and biopsy Gleason score, and who had received ≥60 Gy external beam radiotherapy without neoadjuvant androgen deprivation or planned adjuvant androgen deprivation. All patients were treated between 1986 and 1995. Two groups were defined: those treated before 1993 (Yr ≤92) vs. 1993 and after (Yr ≥93). Patients treated before 1993 had their follow-up truncated to make the follow-up time similar to that for patients treated in 1993 and after. Therefore, the median follow-up time was 6.0 years for both groups (Yr ≤92 and Yr ≥93). Two separate biochemical failure endpoints were used. Definition A consisted of the American Society for Therapeutic Radiology Oncology endpoint (three PSA rises backdated, local failure, distant failure, or hormonal therapy). Definition B consisted of PSA level greater than the current nadir plus two, local failure, distant failure, or hormonal therapy administered. Multivariate analyses for factors affecting PSA disease-free survival (PSA-DFS) rates using both endpoints were performed for all cases using the following variables: T stage (T1b, T1c, T2a vs. T2b, T2c), pretreatment PSA (continuous variable), biopsy Gleason score (continuous variable), radiation dose (continuous variable), and year of treatment (continuous variable). The year variable (defined as the current year minus 1960) ranged from 26 to 35. To evaluate the effect of radiation dose, the multivariate analyses were repeated with the 3,897 cases who had received

Hyperhomocysteinemia is an independent predictor of long-term clinical outcomes in Chinese octogenarians with acute coronary syndrome

Directory of Open Access Journals (Sweden)

Fu Z

2015-09-01

Full Text Available Zhenhong Fu,1,* Geng Qian,1,* Hao Xue,1,* Jun Guo,1 Lian Chen,1 Xia Yang,1 Mingzhi Shen,2 Wei Dong,1 Yundai Chen11Department of Cardiology, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China; 2Department of Cardiology, Hainai Branch of Chinese People’s Liberation Army General Hospital, Sanya, Hainan, People’s Republic of China*These authors contributed equally to this workObjective: To evaluate the prognostic value of homocysteine (Hcy in Chinese acute coronary syndrome (ACS octogenarians.Methods: The study cohort comprised 660 consecutive ACS octogenarians who underwent coronary angiography. We classified the patients into three groups according to Hcy tertiles. Kaplan–Meier method was performed for survival and major adverse cardiac events (MACE rates. Multivariate Cox regression was performed to identify mortality predictors. Receiver operating characteristic curve analysis was performed to predict the cutoff value of Hcy for all-cause mortality.Results: The follow-up period was 28 (inter-quartile range: 16–38 months. Diastolic blood pressure, ratios of male, renal failure and old myocardial infarction in high plasma level Hcy (H-Hcy group were higher than those in low (L-Hcy and middle (M-Hcy plasma level of Hcy groups (P<0.05. The Hcy level was positively correlated with uric acid level (r=0.211, P=0.001 and Cystatin C (Cys C level (r=0.212, P=0.001 and negatively correlated with estimated glomerular filtration rate (r=−0.148, P=0.018. For the long-term outcomes, the cumulative survival rate of H-Hcy group was significantly lower than that of L-Hcy and M-Hcy groups (P=0.006. All-cause mortality and MACE of H-Hcy group were higher than those of L-Hcy and M-Hcy group (P=0.0001, P=0.0008. Hcy is an independent predictor for long-term all-cause mortality (odds ratio =2.26, 95% CI=1.23–4.16, P=0.023 and MACE (odds ratio =1.91, 95% CI=1.03–3.51, P=0.039. Receiver operating characteristic

Adaptive rival penalized competitive learning and combined linear predictor model for financial forecast and investment.

Science.gov (United States)

Cheung, Y M; Leung, W M; Xu, L

1997-01-01

We propose a prediction model called Rival Penalized Competitive Learning (RPCL) and Combined Linear Predictor method (CLP), which involves a set of local linear predictors such that a prediction is made by the combination of some activated predictors through a gating network (Xu et al., 1994). Furthermore, we present its improved variant named Adaptive RPCL-CLP that includes an adaptive learning mechanism as well as a data pre-and-post processing scheme. We compare them with some existing models by demonstrating their performance on two real-world financial time series--a China stock price and an exchange-rate series of US Dollar (USD) versus Deutschmark (DEM). Experiments have shown that Adaptive RPCL-CLP not only outperforms the other approaches with the smallest prediction error and training costs, but also brings in considerable high profits in the trading simulation of foreign exchange market.

A model-independent description of few-body system with strong interaction

International Nuclear Information System (INIS)

Simenog, I.V.

1985-01-01

In this contribution, the authors discuss the formulation of equations that provide model-independent description of systems of three and more nucleons irrespective of the details of the interaction, substantiate the approach, estimate the correction terms with respect to the force range, and give basic qualitative results obtained by means of the model-independent procedure. They consider three nucleons in the doublet state (spin S=I/2) taking into account only S-interaction. The elastic nd-scattering amplitude may be found from the model-independent equations that follow from the Faddeev equations in the short-range-force limit. They note that the solutions of several model-independent equations and basic results obtained with the use of this approach may serve both as a standard solution and starting point in the discussion of various conceptions concerning the details of nuclear interactions

Syndecan-4 Is an Independent Predictor of All-Cause as Well as Cardiovascular Mortality in Hemodialysis Patients.

Directory of Open Access Journals (Sweden)

Andrzej J Jaroszyński

Full Text Available Left ventricular hypertrophy is associated withincreased mortality in hemodialysis (HD patients.Syndecan-4 plays a role in many processes that are involved in the heart fibrosis and hypertrophy.We designed this study to prospectively determine whether syndecan-4 was predictive of mortality in a group of HD patients.In total, 191 HD patients were included. Clinical, biochemical and echocardiographic parameters were recorded. HD patients were followed-up for 23.18 ± 4.02 months.Syndecan-4 levels correlated strongly with geometrical echocardiographic parameters and ejection fraction. Relations with pressure-related parameters were weak and only marginally significant. Using the receiver operating characteristics the optimal cut-off points in predicting all-cause as well as cardiovascular (CV mortality were evaluated and patients were divided into low and high syndecan-4 groups. A Kaplan-Meier analysis showed that the cumulative incidences of all-cause as well as CV mortality were higher in high serum syndecan-4 group compared with those with low serum syndecan-4 (p<0.001 in both cases.A multivariate Cox proportional hazards regression analysis revealed syndecan-4 concentration to be an independent and significant predictor of all-cause (hazard ratio, 2.99; confidence interval, 2.34 to 3.113; p<0.001as well as CV mortality (hazard ratio, 2.81;confidence interval, 2.28to3.02; p<0.001.Serum syndecan-4 concentration reflects predominantly geometrical echocardiographic parameters. In HD patients serum syndecan-4 concentration is independently associated with all-cause as well as CV mortality.

Stratifying empiric risk of schizophrenia among first degree relatives using multiple predictors in two independent Indian samples.

Science.gov (United States)

Bhatia, Triptish; Gettig, Elizabeth A; Gottesman, Irving I; Berliner, Jonathan; Mishra, N N; Nimgaonkar, Vishwajit L; Deshpande, Smita N

2016-12-01

Schizophrenia (SZ) has an estimated heritability of 64-88%, with the higher values based on twin studies. Conventionally, family history of psychosis is the best individual-level predictor of risk, but reliable risk estimates are unavailable for Indian populations. Genetic, environmental, and epigenetic factors are equally important and should be considered when predicting risk in 'at risk' individuals. To estimate risk based on an Indian schizophrenia participant's family history combined with selected demographic factors. To incorporate variables in addition to family history, and to stratify risk, we constructed a regression equation that included demographic variables in addition to family history. The equation was tested in two independent Indian samples: (i) an initial sample of SZ participants (N=128) with one sibling or offspring; (ii) a second, independent sample consisting of multiply affected families (N=138 families, with two or more sibs/offspring affected with SZ). The overall estimated risk was 4.31±0.27 (mean±standard deviation). There were 19 (14.8%) individuals in the high risk group, 75 (58.6%) in the moderate risk and 34 (26.6%) in the above average risk (in Sample A). In the validation sample, risks were distributed as: high (45%), moderate (38%) and above average (17%). Consistent risk estimates were obtained from both samples using the regression equation. Familial risk can be combined with demographic factors to estimate risk for SZ in India. If replicated, the proposed stratification of risk may be easier and more realistic for family members. Copyright © 2016. Published by Elsevier B.V.

Predictors of beer advertising awareness among eighth graders.

Science.gov (United States)

Collins, Rebecca L; Schell, Terry; Ellickson, Phyllis L; McCaffrey, Daniel

2003-09-01

To identify correlates of beer advertising awareness among adolescents at an age when most initiate use of alcohol. We conducted a cross-sectional analysis of an in-school survey about alcohol advertising. Structural equation modeling was used to test for independent predictors of a latent beer advertising awareness construct, separately among boys and girls. Twenty middle schools in South Dakota, USA participated during their spring semester. A total of 1530 eighth graders. A latent advertisement awareness variable was derived based on recognition of six masked beer advertisements, knowledge of beer brands and knowledge of beer slogans. Tested predictors included measures of exposure to alcohol advertising in various venues, social norms regarding drinking, drinking beliefs and behavior and gender. Adolescents with greater exposure to advertisements in magazines, at sporting and music events and on television were more advertisement aware than those with less exposure, as were teens who watch more TV, pay attention to beer advertisements and know adults who drink. Beer advertisement awareness was dramatically higher among boys, and was associated with drinking only among boys. Each of a variety of advertising venues appears to influence independently the extent to which beer advertising is incorporated into an adolescent's cognitive world. Boys are more likely to be aware of and remember beer marketing, and may be more likely to drink as a result of this awareness than girls.

Cognitive predictors of adaptive functioning in children with symptomatic epilepsy.

Science.gov (United States)

Kerr, Elizabeth N; Fayed, Nora

2017-10-01

The current study sought to understand the contribution of the attention and working memory challenges experienced by children with active epilepsy without an intellectual disability to adaptive functioning (AF) while taking into account intellectual ability, co-occurring brain-based psychosocial diagnoses, and epilepsy-related variables. The relationship of attention and working memory with AF was examined in 76 children with active epilepsy with intellectual ability above the 2nd percentile recruited from a tertiary care center. AF was measured using the Scales of Independent Behavior-Revised (SIB-R) and compared with norm-referenced data. Standardized clinical assessments of attention span, sustained attention, as well as basic and more complex working memory were administered to children. Commonality analysis was used to investigate the importance of the variables with respect to the prediction of AF and to construct parsimonious models to elucidate the factors most important in explaining AF. Seventy-one percent of parents reported that their child experienced mild to severe difficulties with overall AF. Similar proportions of children displayed limitations in domain-specific areas of AF (Motor, Social/Communication, Person Living, and Community Living). The reduced models for Broad and domain-specific AF produced a maximum of seven predictor variables, with little loss in overall explained variance compared to the full models. Intellectual ability was a powerful predictor of Broad and domain-specific AF. Complex working memory was the only other cognitive predictor retained in each of the parsimonious models of AF. Sustained attention and complex working memory explained a large amount of the total variance in Motor AF. Children with a previously diagnosed comorbidity displayed lower Social/Communication, Personal Living, and Broad AF than those without a diagnosis. At least one epilepsy-related variable appeared in each of the reduced models, with age of

Predictors of renal and patient outcomes in anti-GBM disease: clinicopathologic analysis of a two-centre cohort.

Science.gov (United States)

Alchi, Bassam; Griffiths, Meryl; Sivalingam, Murugan; Jayne, David; Farrington, Ken

2015-05-01

Patients with anti-glomerular basement membrane (GBM) disease are at increased risk of morbidity and mortality from renal failure, pulmonary haemorrhage or complications of treatment. One-third also have circulating anti-neutrophil cytoplasmic antibodies (ANCA). The aim of this study was to determine the clinicopathologic predictors of patient and renal outcomes in anti-GBM disease with or without ANCA. Retrospective review of 43 patients diagnosed with anti-GBM disease over 20 years in two centres, including nine with dual anti-GBM and ANCA positivity. Renal biopsies from 27 patients were scored for the presence of active and chronic lesions. Dual-positive patients were almost 20 years older than those with anti-GBM positivity alone (P = 0.003). The overall 1-year patient and renal survivals were 88 and 16%, respectively. Oligoanuria at diagnosis was the strongest predictor of mortality; none of the 16 patients without oligoanuria died. In a Cox regression model excluding oligoanuria, age was the only other independent predictor of survival. Pulmonary haemorrhage and dialysis dependence did not influence mortality. Thirty-five of the forty-three (81%) patients required dialysis at presentation, including all nine dual-positive patients. Of them, only two (5.7%) regained renal function at 1 year. By logistic regression, oligoanuria at diagnosis and percentage of crescents were independent predictors of dialysis independence at 3 months. However, in biopsied patients, the presence of crescents (>75%) added little to the presence of oligoanuria in predicting dialysis independence. Histological activity and chronicity indices did not predict renal outcome. Two of the nine (22%) dual-positive patients relapsed compared with none of the anti-GBM alone patients. Seven patients received kidney transplants without disease recurrence. Oligoanuria is the strongest predictor of patient and renal survival while percentage of glomerular crescents is the only pathologic

Deforestation since independence: A quantitative assessment of ...

African Journals Online (AJOL)

Deforestation since independence: A quantitative assessment of four decades of land-cover change in Malawi. ... pressure and demographic factors are important predictors of deforestation rate within our study area. Keywords: afforestation, Africa, deforestation, drivers, land-use change, reforestation, rural, urban ...

Polycystic Ovary Syndrome and Increased Soluble Tumor Necrosis Factor Like Weak Inducer of Apoptosis Levels Are Independent Predictors of Dyslipidemia in Youth.

Science.gov (United States)

Erkenekli, Kudret; Oztas, Efser; Kuscu, Elif; Keskin, Uğur; Kurt, Yasemin Gulcan; Tas, Ahmet; Yilmaz, Nafiye

2017-01-01

Dyslipidemia is common in women with polycystic ovary syndrome (PCOS) irrespective of age. Our aim was to investigate soluble tumor necrosis factor like weak inducer of apoptosis (sTWEAK), a cardiovascular risk marker in PCOS, and to determine if it is associated with dyslipidemia in youth. A prospective-observational study was carried out including 35 PCOS patients and 35 healthy controls. Serum sTWEAK levels were measured using commercially available kits. Multiple logistic regression analysis was then performed to verify the statistically significant differences in the possible predictors of dyslipidemia. Serum sTWEAK levels and the percentage of women with dyslipidemia were significantly higher in the PCOS group (p = 0.024 and p dyslipidemia. The percentage of women with PCOS was significantly higher in the dyslipidemic group when compared with controls; 70.7 vs. 20.7%, respectively (p 693 pg/ml; OR 3.810, 95% CI 1.075-13.501, p = 0.038) were independently associated with dyslipidemia. Increased levels of both sTWEAK and PCOS were found to be independently associated with dyslipidemia in youth. © 2016 S. Karger AG, Basel.

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.

Testing five social-cognitive models to explain predictors of personal oral health behaviours and intention to improve them.

Science.gov (United States)

Dumitrescu, Alexandrina L; Dogaru, Beatrice C; Duta, Carmen; Manolescu, Bogdan N

2014-01-01

To test the ability of several social-cognitive models to explain current behaviour and to predict intentions to engage in three different health behaviours (toothbrushing, flossing and mouthrinsing). Constructs from the health belief model (HBM), theory of reasoned action (TRA), theory of planned behaviour (TPB) and the motivational process of the health action process approach (HAPA) were measured simultaneously in an undergraduate student sample of 172 first-year medical students. Regarding toothbrushing, the TRA, TPB, HBM (without the inclusion of self-efficacy SE), HBM+SE and HAPA predictor models explained 7.4%, 22.7%, 10%, 10.2% and 10.1%, respectively, of the variance in behaviour and 7.5%, 25.6%, 12.1%, 17.5% and 17.2%, respectively, in intention. Regarding dental flossing, the TRA, TPB, HBM, HBM+SE and HAPA predictor models explained 39%, 50.6, 24.1%, 25.4% and 27.7%, respectively, of the variance in behaviour and 39.4%, 52.7%, 33.7%, 35.9% and 43.2%, respectively, in intention. Regarding mouthrinsing, the TRA, TPB, HBM, HBM+SE and HAPA predictor models explained 43.9%, 45.1%, 20%, 29% and 36%, respectively, of the variance in behaviour and 58%, 59.3%, 49.2%, 59.8% and 66.2%, respectively, in intention. The individual significant predictors for current behaviour were attitudes, barriers and outcome expectancy. Our findings revealed that the theory of planned behaviours and the health action process approach were the best predictor of intentions to engage in both behaviours.

Major bleeding in acute coronary syndromes: Incidence, predictors and prognostic value

Directory of Open Access Journals (Sweden)

Walid Ammar

2014-03-01

Conclusions: Major bleeding is a powerful independent predictor of in-hospital and 30 day mortality in patients with ACS. Advanced age, renal insufficiency, high clopidogrel loading and invasive coronary procedures are independent risk factors for major bleeding in ACS patients.

Depression as an independent predictor of postoperative delirium in spine deformity patients undergoing elective spine surgery.

Science.gov (United States)

Elsamadicy, Aladine A; Adogwa, Owoicho; Lydon, Emily; Sergesketter, Amanda; Kaakati, Rayan; Mehta, Ankit I; Vasquez, Raul A; Cheng, Joseph; Bagley, Carlos A; Karikari, Isaac O

2017-08-01

total, 66 patients (7.15%) had an episode of postoperative delirium, with depressed patients experiencing approximately a 2-fold higher rate of delirium (10.59% vs 5.84%). In a multivariate logistic regression analysis, depression was an independent predictor of postoperative delirium after spine surgery in spinal deformity patients (p = 0.01). CONCLUSIONS The results of this study suggest that depression is an independent risk factor for postoperative delirium after elective spine surgery. Further studies are necessary to understand the effects of affective disorders on postoperative delirium, in hopes to better identify patients at risk.

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

Model-independent particle accelerator tuning

Directory of Open Access Journals (Sweden)

Alexander Scheinker

2013-10-01

Full Text Available We present a new model-independent dynamic feedback technique, rotation rate tuning, for automatically and simultaneously tuning coupled components of uncertain, complex systems. The main advantages of the method are: (1 it has the ability to handle unknown, time-varying systems, (2 it gives known bounds on parameter update rates, (3 we give an analytic proof of its convergence and its stability, and (4 it has a simple digital implementation through a control system such as the experimental physics and industrial control system (EPICS. Because this technique is model independent it may be useful as a real-time, in-hardware, feedback-based optimization scheme for uncertain and time-varying systems. In particular, it is robust enough to handle uncertainty due to coupling, thermal cycling, misalignments, and manufacturing imperfections. As a result, it may be used as a fine-tuning supplement for existing accelerator tuning/control schemes. We present multiparticle simulation results demonstrating the scheme’s ability to simultaneously adaptively adjust the set points of 22 quadrupole magnets and two rf buncher cavities in the Los Alamos Neutron Science Center (LANSCE Linear Accelerator’s transport region, while the beam properties and rf phase shift are continuously varying. The tuning is based only on beam current readings, without knowledge of particle dynamics. We also present an outline of how to implement this general scheme in software for optimization, and in hardware for feedback-based control/tuning, for a wide range of systems.

Serum C-reactive protein (CRP) as a simple and independent prognostic factor in extranodal natural killer/T-cell lymphoma, nasal type.

Science.gov (United States)

Li, Ya-Jun; Li, Zhi-Ming; Xia, Yi; Huang, Jia-Jia; Huang, Hui-Qiang; Xia, Zhong-Jun; Lin, Tong-Yu; Li, Su; Cai, Xiu-Yu; Wu-Xiao, Zhi-Jun; Jiang, Wen-Qi

2013-01-01

C-reactive protein (CRP) is a biomarker of the inflammatory response, and it shows significant prognostic value for several types of solid tumors. The prognostic significance of CRP for lymphoma has not been fully examined. We evaluated the prognostic role of baseline serum CRP levels in patients with extranodal natural killer (NK)/T-cell lymphoma (ENKTL). We retrospectively analyzed 185 patients with newly diagnosed ENKTL. The prognostic value of the serum CRP level was evaluated for the low-CRP group (CRP≤10 mg/L) versus the high-CRP group (CRP>10 mg/L). The prognostic value of the International Prognostic Index (IPI) and the Korean Prognostic Index (KPI) were evaluated and compared with the newly developed prognostic model. Patients in the high-CRP group tended to display increased adverse clinical characteristics, lower rates of complete remission (P60 years, hypoalbuminemia, and elevated lactate dehydrogenase levels were independent adverse predictors of OS. Based on these four independent predictors, we constructed a new prognostic model that identified 4 groups with varying OS: group 1, no adverse factors; group 2, 1 factor; group 3, 2 factors; and group 4, 3 or 4 factors (PKPI in distinguishing between the low- and intermediate-low-risk groups, the intermediate-low- and high-intermediate-risk groups, and the high-intermediate- and high-risk groups. Our results suggest that pretreatment serum CRP levels represent an independent predictor of clinical outcome for patients with ENKTL. The prognostic value of the new prognostic model is superior to both IPI and KPI.

Predictors of Discharge to Home after Thrombolytic Treatment in Right Hemisphere Infarct Patients

Directory of Open Access Journals (Sweden)

E-I. Ruuskanen

2010-01-01

Full Text Available Background The aim of the study was to assess the association between thrombolysis and length of hospital stay after right hemisphere (RH infarct, and to identify which cognitive functions were predictive of discharge. Methods The study group consisted of 75 acute RH patients. Thirty-three patients had thrombolysis. Neuropsychologicalexaminations were performed within 11 days of stroke onset. The cognitive predictors were visual neglect, visual memory, visual search and reasoning and visuoconstructive abilities. The outcome variable was time from stroke to discharge to home. Results Thrombolysis emerged as a statistically significant predictor of discharge time in patients with moderate/severe stroke (NIHSS ≥5. In the total series of patients and in patients with mild stroke (NIHSS <5, thrombolysiswas not significantly associated with discharge time. Milder visuoconstructive defects shortened the hospital stay of the whole patient group and of patients with moderate/severe stroke. In all patient groups, independence in activitiesof daily living (ADL was a significant single predictor of a shorter hospital stay. The best combination of predictors for discharge was independence in ADL in the total series of patients and in patients with mild stroke, and thrombolysis and independence in ADL in patients with moderate/severe stroke. Conclusions Thrombolytic treatment was a significant predictor of earlier discharge to home in patients with moderate/severe RH infarct, while cognitive functions had less predictive power.

Measuring Teacher Effectiveness through Hierarchical Linear Models: Exploring Predictors of Student Achievement and Truancy

Science.gov (United States)

Subedi, Bidya Raj; Reese, Nancy; Powell, Randy

2015-01-01

This study explored significant predictors of student's Grade Point Average (GPA) and truancy (days absent), and also determined teacher effectiveness based on proportion of variance explained at teacher level model. We employed a two-level hierarchical linear model (HLM) with student and teacher data at level-1 and level-2 models, respectively.…

Work-home interface stress: an important predictor of emotional exhaustion 15 years into a medical career

Science.gov (United States)

HERTZBERG, Tuva Kolstad; RØ, Karin Isaksson; VAGLUM, Per Jørgen Wiggen; MOUM, Torbjørn; RØVIK, Jan Ole; GUDE, Tore; EKEBERG, Øivind; TYSSEN, Reidar

2015-01-01

The importance of work-home interface stress can vary throughout a medical career and between genders. We studied changes in work-home interface stress over 5 yr, and their prediction of emotional exhaustion (main dimension of burn-out), controlled for other variables. A nationwide doctor cohort (NORDOC; n=293) completed questionnaires at 10 and 15 yr after graduation. Changes over the period were examined and predictors of emotional exhaustion analyzed using linear regression. Levels of work-home interface stress declined, whereas emotional exhaustion stayed on the same level. Lack of reduction in work-home interface stress was an independent predictor of emotional exhaustion in year 15 (β=−0.21, p=0.001). Additional independent predictors were reduction in support from colleagues (β=0.11, p=0.04) and emotional exhaustion at baseline (β=0.62, pseparate analyses, significant adjusted predictors were lack of reduction in work-home interface stress among women, and reduction of collegial support and lack of reduction in working hours among men. Thus, change in work-home interface stress is a key independent predictor of emotional exhaustion among doctors 15 yr after graduation. Some gender differences in predictors of emotional exhaustion were found. PMID:26538002

Modeling Daily Rainfall Conditional on Atmospheric Predictors: An application to Western Greece

Science.gov (United States)

Langousis, Andreas; Kaleris, Vassilios

2013-04-01

Due to its intermittent and highly variable character, daily precipitation is the least well reproduced hydrologic variable by both General Circulation Models (GCMs) and Limited Area Models (LAMs). To that extent, several statistical procedures (usually referred to as downscaling schemes) have been suggested to generate synthetic rainfall time series conditional on predictor variables that are descriptive of the atmospheric circulation at the mesoscale. In addition to be more accurately simulated by GCMs and LAMs, large-scale atmospheric predictors are important indicators of the local weather. Currently used downscaling methods simulate rainfall series using either stable statistical relationships (usually referred to as transfer functions) between certain characteristics of the rainfall process and mesoscale atmospheric predictor variables, or simple stochastic schemes (e.g. properly transformed autoregressive models) with parameters that depend on the large-scale atmospheric conditions. The latter are determined by classifying large-scale circulation patterns into broad categories of weather states, using empirical or theoretically based classification schemes, and modeled by resampling from those categories; a process usually referred to as weather generation. In this work we propose a statistical framework to generate synthetic rainfall timeseries at a daily level, conditional on large scale atmospheric predictors. The latter include the mean sea level pressure (MSLP), the magnitude and direction of upper level geostrophic winds, and the 500 hPa geopotential height, relative vorticity and divergence. The suggested framework operates in continuous time, avoiding the use of transfer functions, and weather classification schemes. The suggested downscaling approach is validated using atmospheric data from the ERA-Interim archive (see http://www.ecmwf.int/research/era/do/get/index), and daily rainfall data from Western Greece, for the 14-year period from 01 October

Model-independent confirmation of the $Z(4430)^-$ state

CERN Document Server

Aaij, Roel; Adinolfi, Marco; Affolder, Anthony; Ajaltouni, Ziad; Albrecht, Johannes; Alessio, Federico; Alexander, Michael; Ali, Suvayu; Alkhazov, Georgy; Alvarez Cartelle, Paula; Alves Jr, Antonio; Amato, Sandra; Amerio, Silvia; Amhis, Yasmine; An, Liupan; Anderlini, Lucio; Anderson, Jonathan; Andreassen, Rolf; Andreotti, Mirco; Andrews, Jason; Appleby, Robert; Aquines Gutierrez, Osvaldo; Archilli, Flavio; Artamonov, Alexander; Artuso, Marina; Aslanides, Elie; Auriemma, Giulio; Baalouch, Marouen; Bachmann, Sebastian; Back, John; Badalov, Alexey; Balagura, Vladislav; Baldini, Wander; Barlow, Roger; Barschel, Colin; Barsuk, Sergey; Barter, William; Batozskaya, Varvara; Bauer, Thomas; Bay, Aurelio; Beaucourt, Leo; Beddow, John; Bedeschi, Franco; Bediaga, Ignacio; Belogurov, Sergey; Belous, Konstantin; Belyaev, Ivan; Ben-Haim, Eli; Bencivenni, Giovanni; Benson, Sean; Benton, Jack; Berezhnoy, Alexander; Bernet, Roland; Bettler, Marc-Olivier; van Beuzekom, Martinus; Bien, Alexander; Bifani, Simone; Bird, Thomas; Bizzeti, Andrea; Bjørnstad, Pål Marius; Blake, Thomas; Blanc, Frédéric; Blouw, Johan; Blusk, Steven; Bocci, Valerio; Bondar, Alexander; Bondar, Nikolay; Bonivento, Walter; Borghi, Silvia; Borgia, Alessandra; Borsato, Martino; Bowcock, Themistocles; Bowen, Espen Eie; Bozzi, Concezio; Brambach, Tobias; van den Brand, Johannes; Bressieux, Joël; Brett, David; Britsch, Markward; Britton, Thomas; Brodzicka, Jolanta; Brook, Nicholas; Brown, Henry; Bursche, Albert; Busetto, Giovanni; Buytaert, Jan; Cadeddu, Sandro; Calabrese, Roberto; Calvi, Marta; Calvo Gomez, Miriam; Camboni, Alessandro; Campana, Pierluigi; Campora Perez, Daniel; Carbone, Angelo; Carboni, Giovanni; Cardinale, Roberta; Cardini, Alessandro; Carranza-Mejia, Hector; Carson, Laurence; Carvalho Akiba, Kazuyoshi; Casse, Gianluigi; Cassina, Lorenzo; Castillo Garcia, Lucia; Cattaneo, Marco; Cauet, Christophe; Cenci, Riccardo; Charles, Matthew; Charpentier, Philippe; Chen, Shanzhen; Cheung, Shu-Faye; Chiapolini, Nicola; Chrzaszcz, Marcin; Ciba, Krzystof; Cid Vidal, Xabier; Ciezarek, Gregory; Clarke, Peter; Clemencic, Marco; Cliff, Harry; Closier, Joel; Coco, Victor; Cogan, Julien; Cogneras, Eric; Collins, Paula; Comerma-Montells, Albert; Contu, Andrea; Cook, Andrew; Coombes, Matthew; Coquereau, Samuel; Corti, Gloria; Corvo, Marco; Counts, Ian; Couturier, Benjamin; Cowan, Greig; Craik, Daniel Charles; Cruz Torres, Melissa Maria; Cunliffe, Samuel; Currie, Robert; D'Ambrosio, Carmelo; Dalseno, Jeremy; David, Pascal; David, Pieter; Davis, Adam; De Bruyn, Kristof; De Capua, Stefano; De Cian, Michel; De Miranda, Jussara; De Paula, Leandro; De Silva, Weeraddana; De Simone, Patrizia; Decamp, Daniel; Deckenhoff, Mirko; Del Buono, Luigi; Déléage, Nicolas; Derkach, Denis; Deschamps, Olivier; Dettori, Francesco; Di Canto, Angelo; Dijkstra, Hans; Donleavy, Stephanie; Dordei, Francesca; Dorigo, Mirco; Dosil Suárez, Alvaro; Dossett, David; Dovbnya, Anatoliy; Dujany, Giulio; Dupertuis, Frederic; Durante, Paolo; Dzhelyadin, Rustem; Dziurda, Agnieszka; Dzyuba, Alexey; Easo, Sajan; Egede, Ulrik; Egorychev, Victor; Eidelman, Semen; Eisenhardt, Stephan; Eitschberger, Ulrich; Ekelhof, Robert; Eklund, Lars; El Rifai, Ibrahim; Elsasser, Christian; Ely, Scott; Esen, Sevda; Evans, Timothy; Falabella, Antonio; Färber, Christian; Farinelli, Chiara; Farley, Nathanael; Farry, Stephen; Ferguson, Dianne; Fernandez Albor, Victor; Ferreira Rodrigues, Fernando; Ferro-Luzzi, Massimiliano; Filippov, Sergey; Fiore, Marco; Fiorini, Massimiliano; Firlej, Miroslaw; Fitzpatrick, Conor; Fiutowski, Tomasz; Fontana, Marianna; Fontanelli, Flavio; Forty, Roger; Francisco, Oscar; Frank, Markus; Frei, Christoph; Frosini, Maddalena; Fu, Jinlin; Furfaro, Emiliano; Gallas Torreira, Abraham; Galli, Domenico; Gallorini, Stefano; Gambetta, Silvia; Gandelman, Miriam; Gandini, Paolo; Gao, Yuanning; Garofoli, Justin; Garra Tico, Jordi; Garrido, Lluis; Gaspar, Clara; Gauld, Rhorry; Gavardi, Laura; Gersabeck, Evelina; Gersabeck, Marco; Gershon, Timothy; Ghez, Philippe; Gianelle, Alessio; Giani', Sebastiana; Gibson, Valerie; Giubega, Lavinia-Helena; Gligorov, Vladimir; Göbel, Carla; Golubkov, Dmitry; Golutvin, Andrey; Gomes, Alvaro; Gordon, Hamish; Gotti, Claudio; Grabalosa Gándara, Marc; Graciani Diaz, Ricardo; Granado Cardoso, Luis Alberto; Graugés, Eugeni; Graziani, Giacomo; Grecu, Alexandru; Greening, Edward; Gregson, Sam; Griffith, Peter; Grillo, Lucia; Grünberg, Oliver; Gui, Bin; Gushchin, Evgeny; Guz, Yury; Gys, Thierry; Hadjivasiliou, Christos; Haefeli, Guido; Haen, Christophe; Haines, Susan; Hall, Samuel; Hamilton, Brian; Hampson, Thomas; Han, Xiaoxue; Hansmann-Menzemer, Stephanie; Harnew, Neville; Harnew, Samuel; Harrison, Jonathan; Hartmann, Thomas; He, Jibo; Head, Timothy; Heijne, Veerle; Hennessy, Karol; Henrard, Pierre; Henry, Louis; Hernando Morata, Jose Angel; van Herwijnen, Eric; Heß, Miriam; Hicheur, Adlène; Hill, Donal; Hoballah, Mostafa; Hombach, Christoph; Hulsbergen, Wouter; Hunt, Philip; Hussain, Nazim; Hutchcroft, David; Hynds, Daniel; Idzik, Marek; Ilten, Philip; Jacobsson, Richard; Jaeger, Andreas; Jalocha, Pawel; Jans, Eddy; Jaton, Pierre; Jawahery, Abolhassan; Jezabek, Marek; Jing, Fanfan; John, Malcolm; Johnson, Daniel; Jones, Christopher; Joram, Christian; Jost, Beat; Jurik, Nathan; Kaballo, Michael; Kandybei, Sergii; Kanso, Walaa; Karacson, Matthias; Karbach, Moritz; Kelsey, Matthew; Kenyon, Ian; Ketel, Tjeerd; Khanji, Basem; Khurewathanakul, Chitsanu; Klaver, Suzanne; Kochebina, Olga; Kolpin, Michael; Komarov, Ilya; Koopman, Rose; Koppenburg, Patrick; Korolev, Mikhail; Kozlinskiy, Alexandr; Kravchuk, Leonid; Kreplin, Katharina; Kreps, Michal; Krocker, Georg; Krokovny, Pavel; Kruse, Florian; Kucharczyk, Marcin; Kudryavtsev, Vasily; Kurek, Krzysztof; Kvaratskheliya, Tengiz; La Thi, Viet Nga; Lacarrere, Daniel; Lafferty, George; Lai, Adriano; Lambert, Dean; Lambert, Robert W; Lanciotti, Elisa; Lanfranchi, Gaia; Langenbruch, Christoph; Langhans, Benedikt; Latham, Thomas; Lazzeroni, Cristina; Le Gac, Renaud; van Leerdam, Jeroen; Lees, Jean-Pierre; Lefèvre, Regis; Leflat, Alexander; Lefrançois, Jacques; Leo, Sabato; Leroy, Olivier; Lesiak, Tadeusz; Leverington, Blake; Li, Yiming; Liles, Myfanwy; Lindner, Rolf; Linn, Christian; Lionetto, Federica; Liu, Bo; Liu, Guoming; Lohn, Stefan; Longstaff, Iain; Lopes, Jose; Lopez-March, Neus; Lowdon, Peter; Lu, Haiting; Lucchesi, Donatella; Luo, Haofei; Lupato, Anna; Luppi, Eleonora; Lupton, Oliver; Machefert, Frederic; Machikhiliyan, Irina V; Maciuc, Florin; Maev, Oleg; Malde, Sneha; Manca, Giulia; Mancinelli, Giampiero; Manzali, Matteo; Maratas, Jan; Marchand, Jean François; Marconi, Umberto; Marin Benito, Carla; Marino, Pietro; Märki, Raphael; Marks, Jörg; Martellotti, Giuseppe; Martens, Aurelien; Martín Sánchez, Alexandra; Martinelli, Maurizio; Martinez Santos, Diego; Martinez Vidal, Fernando; Martins Tostes, Danielle; Massafferri, André; Matev, Rosen; Mathe, Zoltan; Matteuzzi, Clara; Mazurov, Alexander; McCann, Michael; McCarthy, James; McNab, Andrew; McNulty, Ronan; McSkelly, Ben; Meadows, Brian; Meier, Frank; Meissner, Marco; Merk, Marcel; Milanes, Diego Alejandro; Minard, Marie-Noelle; Moggi, Niccolò; Molina Rodriguez, Josue; Monteil, Stephane; Moran, Dermot; Morandin, Mauro; Morawski, Piotr; Mordà, Alessandro; Morello, Michael Joseph; Moron, Jakub; Morris, Adam Benjamin; Mountain, Raymond; Muheim, Franz; Müller, Katharina; Muresan, Raluca; Mussini, Manuel; Muster, Bastien; Naik, Paras; Nakada, Tatsuya; Nandakumar, Raja; Nasteva, Irina; Needham, Matthew; Neri, Nicola; Neubert, Sebastian; Neufeld, Niko; Neuner, Max; Nguyen, Anh Duc; Nguyen, Thi-Dung; Nguyen-Mau, Chung; Nicol, Michelle; Niess, Valentin; Niet, Ramon; Nikitin, Nikolay; Nikodem, Thomas; Novoselov, Alexey; Oblakowska-Mucha, Agnieszka; Obraztsov, Vladimir; Oggero, Serena; Ogilvy, Stephen; Okhrimenko, Oleksandr; Oldeman, Rudolf; Onderwater, Gerco; Orlandea, Marius; Otalora Goicochea, Juan Martin; Owen, Patrick; Oyanguren, Maria Arantza; Pal, Bilas Kanti; Palano, Antimo; Palombo, Fernando; Palutan, Matteo; Panman, Jacob; Papanestis, Antonios; Pappagallo, Marco; Parkes, Christopher; Parkinson, Christopher John; Passaleva, Giovanni; Patel, Girish; Patel, Mitesh; Patrignani, Claudia; Pazos Alvarez, Antonio; Pearce, Alex; Pellegrino, Antonio; Pepe Altarelli, Monica; Perazzini, Stefano; Perez Trigo, Eliseo; Perret, Pascal; Perrin-Terrin, Mathieu; Pescatore, Luca; Pesen, Erhan; Petridis, Konstantin; Petrolini, Alessandro; Picatoste Olloqui, Eduardo; Pietrzyk, Boleslaw; Pilař, Tomas; Pinci, Davide; Pistone, Alessandro; Playfer, Stephen; Plo Casasus, Maximo; Polci, Francesco; Poluektov, Anton; Polycarpo, Erica; Popov, Alexander; Popov, Dmitry; Popovici, Bogdan; Potterat, Cédric; Powell, Andrew; Prisciandaro, Jessica; Pritchard, Adrian; Prouve, Claire; Pugatch, Valery; Puig Navarro, Albert; Punzi, Giovanni; Qian, Wenbin; Rachwal, Bartolomiej; Rademacker, Jonas; Rakotomiaramanana, Barinjaka; Rama, Matteo; Rangel, Murilo; Raniuk, Iurii; Rauschmayr, Nathalie; Raven, Gerhard; Reichert, Stefanie; Reid, Matthew; dos Reis, Alberto; Ricciardi, Stefania; Richards, Alexander; Rihl, Mariana; Rinnert, Kurt; Rives Molina, Vincente; Roa Romero, Diego; Robbe, Patrick; Rodrigues, Ana Barbara; Rodrigues, Eduardo; Rodriguez Perez, Pablo; Roiser, Stefan; Romanovsky, Vladimir; Romero Vidal, Antonio; Rotondo, Marcello; Rouvinet, Julien; Ruf, Thomas; Ruffini, Fabrizio; Ruiz, Hugo; Ruiz Valls, Pablo; Sabatino, Giovanni; Saborido Silva, Juan Jose; Sagidova, Naylya; Sail, Paul; Saitta, Biagio; Salustino Guimaraes, Valdir; Sanchez Mayordomo, Carlos; Sanmartin Sedes, Brais; Santacesaria, Roberta; Santamarina Rios, Cibran; Santovetti, Emanuele; Sapunov, Matvey; Sarti, Alessio; Satriano, Celestina; Satta, Alessia; Savrie, Mauro; Savrina, Darya; Schiller, Manuel; Schindler, Heinrich; Schlupp, Maximilian; Schmelling, Michael; Schmidt, Burkhard; Schneider, Olivier; Schopper, Andreas; Schune, Marie Helene; Schwemmer, Rainer; Sciascia, Barbara; Sciubba, Adalberto; Seco, Marcos; Semennikov, Alexander; Senderowska, Katarzyna; Sepp, Indrek; Serra, Nicola; Serrano, Justine; Sestini, Lorenzo; Seyfert, Paul; Shapkin, Mikhail; Shapoval, Illya; Shcheglov, Yury; Shears, Tara; Shekhtman, Lev; Shevchenko, Vladimir; Shires, Alexander; Silva Coutinho, Rafael; Simi, Gabriele; Sirendi, Marek; Skidmore, Nicola; Skwarnicki, Tomasz; Smith, Anthony; Smith, Edmund; Smith, Eluned; Smith, Jackson; Smith, Mark; Snoek, Hella; Sokoloff, Michael; Soler, Paul; Soomro, Fatima; Souza, Daniel; Souza De Paula, Bruno; Spaan, Bernhard; Sparkes, Ailsa; Spinella, Franco; Spradlin, Patrick; Stagni, Federico; Stahl, Sascha; Steinkamp, Olaf; Stenyakin, Oleg; Stevenson, Scott; Stoica, Sabin; Stone, Sheldon; Storaci, Barbara; Stracka, Simone; Straticiuc, Mihai; Straumann, Ulrich; Stroili, Roberto; Subbiah, Vijay Kartik; Sun, Liang; Sutcliffe, William; Swientek, Krzysztof; Swientek, Stefan; Syropoulos, Vasileios; Szczekowski, Marek; Szczypka, Paul; Szilard, Daniela; Szumlak, Tomasz; T'Jampens, Stephane; Teklishyn, Maksym; Tellarini, Giulia; Teubert, Frederic; Thomas, Christopher; Thomas, Eric; van Tilburg, Jeroen; Tisserand, Vincent; Tobin, Mark; Tolk, Siim; Tomassetti, Luca; Tonelli, Diego; Topp-Joergensen, Stig; Torr, Nicholas; Tournefier, Edwige; Tourneur, Stephane; Tran, Minh Tâm; Tresch, Marco; Tsaregorodtsev, Andrei; Tsopelas, Panagiotis; Tuning, Niels; Ubeda Garcia, Mario; Ukleja, Artur; Ustyuzhanin, Andrey; Uwer, Ulrich; Vagnoni, Vincenzo; Valenti, Giovanni; Vallier, Alexis; Vazquez Gomez, Ricardo; Vazquez Regueiro, Pablo; Vázquez Sierra, Carlos; Vecchi, Stefania; Velthuis, Jaap; Veltri, Michele; Veneziano, Giovanni; Vesterinen, Mika; Viaud, Benoit; Vieira, Daniel; Vieites Diaz, Maria; Vilasis-Cardona, Xavier; Vollhardt, Achim; Volyanskyy, Dmytro; Voong, David; Vorobyev, Alexey; Vorobyev, Vitaly; Voß, Christian; Voss, Helge; de Vries, Jacco; Waldi, Roland; Wallace, Charlotte; Wallace, Ronan; Walsh, John; Wandernoth, Sebastian; Wang, Jianchun; Ward, David; Watson, Nigel; Websdale, David; Whitehead, Mark; Wicht, Jean; Wiedner, Dirk; Wilkinson, Guy; Williams, Matthew; Williams, Mike; Wilson, Fergus; Wimberley, Jack; Wishahi, Julian; Wislicki, Wojciech; Witek, Mariusz; Wormser, Guy; Wotton, Stephen; Wright, Simon; Wu, Suzhi; Wyllie, Kenneth; Xie, Yuehong; Xing, Zhou; Xu, Zhirui; Yang, Zhenwei; Yuan, Xuhao; Yushchenko, Oleg; Zangoli, Maria; Zavertyaev, Mikhail; Zhang, Feng; Zhang, Liming; Zhang, Wen Chao; Zhang, Yanxi; Zhelezov, Alexey; Zhokhov, Anatoly; Zhong, Liang; Zvyagin, Alexander

2015-01-01

The decay $B^0\\to \\psi(2S) K^+\\pi^-$ is analyzed using $\\rm 3~fb^{-1}$ of $pp$ collision data collected with the LHCb detector. A model-independent description of the $\\psi(2S) \\pi$ mass spectrum is obtained, using as input the $K\\pi$ mass spectrum and angular distribution derived directly from data, without requiring a theoretical description of resonance shapes or their interference. The hypothesis that the $\\psi(2S)\\pi$ mass spectrum can be described in terms of $K\\pi$ reflections alone is rejected with more than 8$\\sigma$ significance. This provides confirmation, in a model-independent way, of the need for an additional resonant component in the mass region of the $Z(4430)^-$ exotic state.

A Nonlinear Dynamic Inversion Predictor-Based Model Reference Adaptive Controller for a Generic Transport Model

Science.gov (United States)

Campbell, Stefan F.; Kaneshige, John T.

2010-01-01

Presented here is a Predictor-Based Model Reference Adaptive Control (PMRAC) architecture for a generic transport aircraft. At its core, this architecture features a three-axis, non-linear, dynamic-inversion controller. Command inputs for this baseline controller are provided by pilot roll-rate, pitch-rate, and sideslip commands. This paper will first thoroughly present the baseline controller followed by a description of the PMRAC adaptive augmentation to this control system. Results are presented via a full-scale, nonlinear simulation of NASA s Generic Transport Model (GTM).

Markers of insulin resistance and sedentary lifestyle are predictors of preeclampsia in women with adverse obstetric results.

Science.gov (United States)

Hoirisch-Clapauch, S; Benchimol-Barbosa, P R

2011-12-01

Some thrombophilias and severe preeclampsia may increase the risk for preterm deliveries and fetal death due to placental insufficiency. Our objective was to evaluate clinical and laboratory data as predictors of preeclampsia in a population of mothers with 3rd trimester fetal losses or preterm deliveries. In a longitudinal retrospective study, 54 consecutive women (age range: 16 to 39 years) with normotensive pregnancies were compared to 79 consecutive women with preeclampsia (age range: 16 to 43 years). Weight accrual rate (WAR) was arbitrarily defined as weight gain from age 18 years to the beginning of pregnancy divided by elapsed years. Independent predictors of preeclampsia were past history of oligomenorrhea, WAR >0.8 kg/years, pre-pregnancy or 1st trimester triglyceridemia >150 mg/dL, and elevated acanthosis nigricans in the neck. In a multivariate logistic regression model, two or more predictors conferred an odds ratio of 15 (95%CI [5.9-37]; P < 0.001) to develop preeclampsia (85% specificity, 73% sensitivity, c-statistic of 81 ± 4%; P < 0.0001). Clinical markers related to insulin resistance and sedentary lifestyles are strong independent predictors of preeclampsia in mothers with 3rd trimester fetal losses or preterm deliveries due to placental insufficiency. Women at risk for preeclampsia in this particular population might benefit from measures focused on overcoming insulin resistance.

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

The Controlling Nutritional Status Score Is a Significant Independent Predictor of Poor Prognosis in Patients With Malignant Pleural Mesothelioma.

Science.gov (United States)

Takamori, Shinkichi; Toyokawa, Gouji; Taguchi, Kenichi; Edagawa, Makoto; Shimamatsu, Shinichiro; Toyozawa, Ryo; Nosaki, Kaname; Seto, Takashi; Hirai, Fumihiko; Yamaguchi, Masafumi; Shoji, Fumihiro; Okamoto, Tatsuro; Takenoyama, Mitsuhiro; Ichinose, Yukito

2017-07-01

Malignant pleural mesothelioma (MPM) is a devastating neoplasm; however, some patients exhibit a good response to chemotherapy or multidisciplinary therapy, including surgery and chemotherapy. It is therefore important to discover the factors that can be used to select patients who will benefit from such treatment. Although the Controlling Nutritional Status (CONUT) score has been used to predict the prognosis in other types of malignancy, its utility in patients with MPM is unknown. The aim of this study was to clarify the clinical significance of the CONUT in patients with MPM. The data of 83 patients, who were treated with surgery, chemotherapy, or multidisciplinary therapy, were analyzed in the present study. A cut-off CONUT score of 2 was used to classify all of the patients into low or high CONUT groups. Fifty-two of the 83 patients were classified into the low CONUT group. A high CONUT score was significantly correlated with chemotherapy alone (P = .011). The high CONUT group had significantly poorer overall survival (OS) (P clinical stage and the CONUT score were found to be independent predictive factors for the OS: clinical stage, I/II and III/IV; P = .001 and CONUT score, ≥ 3 and ≤ 2; P = .011, respectively. The clinical stage and the CONUT score were also independent predictive factors for DFS/PFS: clinical stage, I/II and III/IV; P = .006 and CONUT score, ≥ 3 and ≤ 2; P = .013, respectively. The CONUT score was an independent predictor of a poor prognosis in the patients with MPM. This score provides useful information for selecting patients who will benefit from the treatment. Copyright © 2017 Elsevier Inc. All rights reserved.

Data-Model Relationship in Text-Independent Speaker Recognition

Directory of Open Access Journals (Sweden)

Stapert Robert

2005-01-01

Full Text Available Text-independent speaker recognition systems such as those based on Gaussian mixture models (GMMs do not include time sequence information (TSI within the model itself. The level of importance of TSI in speaker recognition is an interesting question and one addressed in this paper. Recent works has shown that the utilisation of higher-level information such as idiolect, pronunciation, and prosodics can be useful in reducing speaker recognition error rates. In accordance with these developments, the aim of this paper is to show that as more data becomes available, the basic GMM can be enhanced by utilising TSI, even in a text-independent mode. This paper presents experimental work incorporating TSI into the conventional GMM. The resulting system, known as the segmental mixture model (SMM, embeds dynamic time warping (DTW into a GMM framework. Results are presented on the 2000-speaker SpeechDat Welsh database which show improved speaker recognition performance with the SMM.

A simplified multi-particle model for lithium ion batteries via a predictor-corrector strategy and quasi-linearization

International Nuclear Information System (INIS)

Li, Xiaoyu; Fan, Guodong; Rizzoni, Giorgio; Canova, Marcello; Zhu, Chunbo; Wei, Guo

2016-01-01

The design of a simplified yet accurate physics-based battery model enables researchers to accelerate the processes of the battery design, aging analysis and remaining useful life prediction. In order to reduce the computational complexity of the Pseudo Two-Dimensional mathematical model without sacrificing the accuracy, this paper proposes a simplified multi-particle model via a predictor-corrector strategy and quasi-linearization. In this model, a predictor-corrector strategy is used for updating two internal states, especially used for solving the electrolyte concentration approximation to reduce the computational complexity and reserve a high accuracy of the approximation. Quasi-linearization is applied to the approximations of the Butler-Volmer kinetics equation and the pore wall flux distribution to predict the non-uniform electrochemical reaction effects without using any nonlinear iterative solver. Simulation and experimental results show that the isothermal model and the model coupled with thermal behavior are greatly improve the computational efficiency with almost no loss of accuracy. - Highlights: • A simplified multi-particle model with high accuracy and computation efficiency is proposed. • The electrolyte concentration is solved based on a predictor-corrector strategy. • The non-uniform electrochemical reaction is solved based on quasi-linearization. • The model is verified by simulations and experiments at various operating conditions.

Work-home interface stress: an important predictor of emotional exhaustion 15 years into a medical career.

Science.gov (United States)

Hertzberg, Tuva Kolstad; Rø, Karin Isaksson; Vaglum, Per Jørgen Wiggen; Moum, Torbjørn; Røvik, Jan Ole; Gude, Tore; Ekeberg, Øivind; Tyssen, Reidar

2016-01-01

The importance of work-home interface stress can vary throughout a medical career and between genders. We studied changes in work-home interface stress over 5 yr, and their prediction of emotional exhaustion (main dimension of burn-out), controlled for other variables. A nationwide doctor cohort (NORDOC; n=293) completed questionnaires at 10 and 15 yr after graduation. Changes over the period were examined and predictors of emotional exhaustion analyzed using linear regression. Levels of work-home interface stress declined, whereas emotional exhaustion stayed on the same level. Lack of reduction in work-home interface stress was an independent predictor of emotional exhaustion in year 15 (β=-0.21, p=0.001). Additional independent predictors were reduction in support from colleagues (β=0.11, p=0.04) and emotional exhaustion at baseline (β=0.62, pwork-home interface stress among women, and reduction of collegial support and lack of reduction in working hours among men. Thus, change in work-home interface stress is a key independent predictor of emotional exhaustion among doctors 15 yr after graduation. Some gender differences in predictors of emotional exhaustion were found.

Cognitive Dysfunction and Malnutrition Are Independent Predictor of Dysphagia in Patients with Acute Exacerbation of Congestive Heart Failure.

Science.gov (United States)

Yokota, Junichi; Ogawa, Yoshiko; Yamanaka, Shinsuke; Takahashi, Yoshimi; Fujita, Hiroshi; Yamaguchi, Nobuhiro; Onoue, Noriko; Ishizuka, Takeshi; Shinozaki, Tsuyoshi; Kohzuki, Masahiro

2016-01-01

Early detection and intervention for dysphagia is important in patients with congestive heart failure (CHF). However, previous studies have focused on how many patients with dysphagia develop CHF. Studies focusing on the comorbidity of dysphagia in patients with CHF are rare. Additionally, risk factors for dysphagia in patients with CHF are unclear. Thus, the aim of this study was to clarify risk factors for dysphagia in patients with acute exacerbation of CHF. A total of 105 patients, who were admitted with acute exacerbation of CHF, were enrolled. Clinical interviews, blood chemistry analysis, electrocardiography, echocardiography, Mini-Mental State Examination (MMSE), exercise tolerance tests, phonatory function tests, and evaluation of activities of daily living (ADL) and nutrition were conducted on admission. After attending physicians permitted the drinking of water, swallowing screening tests were performed. Patients were divided into a dysphagia group (DG) or a non-dysphagia group (non-DG) based on Functional Oral Intake Scale level. Among the 105 patients, 38 had dysphagia. A greater number of patients had history of aspiration pneumonia and dementia, and there was a higher age, N-terminal pro-B-type natriuretic peptide level in the DG compared with the non-DG. MMSE scores, exercise tolerance, phonatory function, status of ADL, nutrition, albumin, and transthyretin were lower in the DG compared with the non-DG. In multivariate analysis, after adjusting for age and sex, MMSE, BI score, and transthyretin was independently associated with dysphagia. Comorbidity of dysphagia was 36.1% in patients with acute exacerbation of CHF, and cognitive dysfunction and malnutrition may be an independent predictor of dysphagia.

The independent relationship between triglycerides and coronary heart disease.

Science.gov (United States)

Morrison, Alan; Hokanson, John E

2009-01-01

The aim was to review epidemiologic studies to reassess whether serum levels of triglycerides should be considered independently of high-density lipoprotein-cholesterol (HDL-C) as a predictor of coronary heart disease (CHD). We systematically reviewed population-based cohort studies in which baseline serum levels of triglycerides and HDL-C were included as explanatory variables in multivariate analyses with the development of CHD (coronary events or coronary death) as dependent variable. A total of 32 unique reports describing 38 cohorts were included. The independent association between elevated triglycerides and risk of CHD was statistically significant in 16 of 30 populations without pre-existing CHD. Among populations with diabetes mellitus or pre-existing CHD, or the elderly, triglycerides were not significantly independently associated with CHD in any of 8 cohorts. Triglycerides and HDL-C were mutually exclusive predictors of coronary events in 12 of 20 analyses of patients without pre-existing CHD. Epidemiologic studies provide evidence of an association between triglycerides and the development of primary CHD independently of HDL-C. Evidence of an inverse relationship between triglycerides and HDL-C suggests that both should be considered in CHD risk estimation and as targets for intervention.

Predictors of pre-game anxiety dysphoria among teenage soccer ...

African Journals Online (AJOL)

Predictors of pre-game anxiety dysphoria among teenage soccer players. ... The result confirmed a significant composite effect of the dependent variable on the independent variables (0.87637, 74.49548, ... AJOL African Journals Online.

Model-independent approach for dark matter phenomenology

Indian Academy of Sciences (India)

We have studied the phenomenology of dark matter at the ILC and cosmic positron experiments based on model-independent approach. We have found a strong correlation between dark matter signatures at the ILC and those in the indirect detection experiments of dark matter. Once the dark matter is discovered in the ...

Model-independent approach for dark matter phenomenology ...

Indian Academy of Sciences (India)

Abstract. We have studied the phenomenology of dark matter at the ILC and cosmic positron experiments based on model-independent approach. We have found a strong correlation between dark matter signatures at the ILC and those in the indirect detec- tion experiments of dark matter. Once the dark matter is discovered ...

How Many Separable Sources? Model Selection In Independent Components Analysis

DEFF Research Database (Denmark)

Woods, Roger P.; Hansen, Lars Kai; Strother, Stephen

2015-01-01

among potential model categories with differing numbers of Gaussian components. Based on simulation studies, the assumptions and approximations underlying the Akaike Information Criterion do not hold in this setting, even with a very large number of observations. Cross-validation is a suitable, though....../Principal Components Analysis (mixed ICA/PCA) model described here accommodates one or more Gaussian components in the independent components analysis model and uses principal components analysis to characterize contributions from this inseparable Gaussian subspace. Information theory can then be used to select from...... might otherwise be questionable. Failure of the Akaike Information Criterion in model selection also has relevance in traditional independent components analysis where all sources are assumed non-Gaussian....

Patient-reported mental and physical health outcomes are independent predictors of one-year mortality and cardiac events across cardiac diagnoses. Findings from the national DenHeart survey."

DEFF Research Database (Denmark)

Berg, Selina Kikkenborg; Thorup, Charlotte Brun; Borregaard, Britt

2018-01-01

-reported outcomes at hospital discharge as a predictor of mortality and cardiac events. Design: A cross-sectional survey with register follow-up. Methods: Participants: All patients discharged from April 2013 to April 2014 from five national heart centres in Denmark. Main outcomes: Patient-reported outcomes......Aims: Patient-reported quality of life and anxiety/depression scores provide important prognostic information independently of traditional clinical data. The aims of this study were to describe: (a) mortality and cardiac events one year after hospital discharge across cardiac diagnoses; (b) patient...

Predictors and Outcomes of Revisits in Older Adults Discharged from the Emergency Department.

Science.gov (United States)

de Gelder, Jelle; Lucke, Jacinta A; de Groot, Bas; Fogteloo, Anne J; Anten, Sander; Heringhaus, Christian; Dekkers, Olaf M; Blauw, Gerard J; Mooijaart, Simon P

2018-04-01

To study predictors of emergency department (ED) revisits and the association between ED revisits and 90-day functional decline or mortality. Multicenter cohort study. One academic and two regional Dutch hospitals. Older adults discharged from the ED (N=1,093). At baseline, data on demographic characteristics, illness severity, and geriatric parameters (cognition, functional capacity) were collected. All participants were prospectively followed for an unplanned revisit within 30 days and for functional decline and mortality 90 days after the initial visit. The median age was 79 (interquartile range 74-84), and 114 participants (10.4%) had an ED revisit within 30 days of discharge. Age (hazard ratio (HR)=0.96, 95% confidence interval (CI)=0.92-0.99), male sex (HR=1.61, 95% CI=1.05-2.45), polypharmacy (HR=2.06, 95% CI=1.34-3.16), and cognitive impairment (HR=1.71, 95% CI=1.02-2.88) were independent predictors of a 30-day ED revisit. The area under the receiver operating characteristic curve to predict an ED revisit was 0.65 (95% CI=0.60-0.70). In a propensity score-matched analysis, individuals with an ED revisit were at higher risk (odds ratio=1.99 95% CI=1.06-3.71) of functional decline or mortality. Age, male sex, polypharmacy, and cognitive impairment were independent predictors of a 30-day ED revisit, but no useful clinical prediction model could be developed. However, an early ED revisit is a strong new predictor of adverse outcomes in older adults. © 2018 The Authors. The Journal of the American Geriatrics Society published by Wiley Periodicals, Inc. on behalf of The American Geriatrics Society.

Predictors of mental health competence in a population cohort of Australian children.

Science.gov (United States)

Goldfeld, Sharon; Kvalsvig, Amanda; Incledon, Emily; O'Connor, Meredith; Mensah, Fiona

2014-05-01

The child mental health epidemiology literature focuses almost exclusively on reporting the prevalence and predictors of child mental disorders. However, there is growing recognition of positive mental health or mental health competence as an independent outcome that cannot be inferred from the absence of problems, and requires epidemiological investigation in its own right. We developed a novel measure of child mental health competence within the framework of the Australian Early Development Index, a three-yearly national census of early child development. Predictors of this outcome were investigated by linking these census data at individual level to detailed background information collected by a large longitudinal cohort study. Predictors of competence were consistent with previously described theoretical and empirical models. Overall, boys were significantly less likely than girls to demonstrate a high level of competence (OR 0.60, 95% CI 0.39 to 0.91). Other strong predictors of competence were parent education and a relative absence of maternal psychological distress; these factors also appeared to attenuate the negative effect of family hardship on child competence. This measure of mental health competence shows promise as a population-level indicator with the potential benefit of informing and evaluating evidence-based public health intervention strategies that promote positive mental health.

Gender differences in the predictors of physical activity among assisted living residents.

Science.gov (United States)

Chen, Yuh-Min; Li, Yueh-Ping; Yen, Min-Ling

2015-05-01

To explore gender differences in the predictors of physical activity (PA) among assisted living residents. A cross-sectional design was adopted. A convenience sample of 304 older adults was recruited from four assisted living facilities in Taiwan. Two separate simultaneous multiple regression analyses were conducted to identify the predictors of PA for older men and women. Independent variables entered into the regression models were age, marital status, educational level, past regular exercise participation, number of chronic diseases, functional status, self-rated health, depression, and self-efficacy expectations. In older men, a junior high school or higher educational level, past regular exercise participation, better functional status, better self-rated health, and higher self-efficacy expectations predicted more PA, accounting for 61.3% of the total variance in PA. In older women, better self-rated health, lower depression, and higher self-efficacy expectations predicted more PA, accounting for 50% of the total variance in PA. Predictors of PA differed between the two genders. The results have crucial implications for developing gender-specific PA interventions. Through a clearer understanding of gender-specific predictors, healthcare providers can implement gender-sensitive PA-enhancing interventions to assist older residents in performing sufficient PA. © 2015 Sigma Theta Tau International.

Independent predictors of morbidity and mortality in blunt colon trauma.

Science.gov (United States)

Ricciardi, R; Paterson, C A; Islam, S; Sweeney, W B; Baker, S P; Counihan, T C

2004-01-01

We sought to determine the impact of (1) grade of the colon injury, (2) the formation of an ostomy, and (3) associated injuries on outcomes such as morbidity and mortality after blunt colon injuries. We retrospectively reviewed 16,814 cases of blunt abdominal trauma. Patients with colonic injuries were selected and charts reviewed for demographic, clinical, and outcomes data. Injuries were grouped by the Colon Injury Scale (grades I-V). Independent risk factors of morbidity included spine and lung injuries, as well as increased age. A higher grade of colon injury trended toward a significant association with intra-abdominal complications. Independent risk factors of mortality included liver, heart, and lung injuries, as well as intracerebral blood and female gender. The grade of colon injury, the formation of an ostomy, and management of the colon trauma did not independently predict increased intra-abdominal complications, morbidity, or mortality. These results indicate that patients afflicted with blunt colon trauma experience a high rate of morbidity and mortality from associated injuries and or increased age. Treatment regimens directed at these factors will be most helpful in reducing the high morbidity and mortality after blunt colon trauma. Factors such as ostomy formation and management strategy are not associated with increased morbidity or mortality after blunt colon trauma.

Model independent foreground power spectrum estimation using WMAP 5-year data

International Nuclear Information System (INIS)

Ghosh, Tuhin; Souradeep, Tarun; Saha, Rajib; Jain, Pankaj

2009-01-01

In this paper, we propose and implement on WMAP 5 yr data a model independent approach of foreground power spectrum estimation for multifrequency observations of the CMB experiments. Recently, a model independent approach of CMB power spectrum estimation was proposed by Saha et al. 2006. This methodology demonstrates that the CMB power spectrum can be reliably estimated solely from WMAP data without assuming any template models for the foreground components. In the current paper, we extend this work to estimate the galactic foreground power spectrum using the WMAP 5 yr maps following a self-contained analysis. We apply the model independent method in harmonic basis to estimate the foreground power spectrum and frequency dependence of combined foregrounds. We also study the behavior of synchrotron spectral index variation over different regions of the sky. We use the full sky Haslam map as an external template to increase the degrees of freedom, while computing the synchrotron spectral index over the frequency range from 408 MHz to 94 GHz. We compare our results with those obtained from maximum entropy method foreground maps, which are formed in pixel space. We find that relative to our model independent estimates maximum entropy method maps overestimate the foreground power close to galactic plane and underestimates it at high latitudes.

Showing no spot sign is a strong predictor of independent living after intracerebral haemorrhage

DEFF Research Database (Denmark)

Havsteen, Inger; Ovesen, Christian; Christensen, Anders F

2014-01-01

BACKGROUND: A spot sign on computed tomography angiography (CTA) is a potentially strong predictor of poor outcome on ultra-early radiological imaging. The aim of this study was to assess the spot sign as a predictor of functional outcome at 3 months as well as long-term mortality, with a focus...... on the ability to identify patients with a spontaneous, acceptable outcome. METHODS: In a prospective, consecutive single-centre registry of acute stroke patients, we investigated patients with spontaneous intracerebral haemorrhage (ICH) admitted within 4.5 h after symptom onset from April 2009 to January 2013....... The standard work-up in our centre included CTA for spot sign status, unless a contraindication was present. Modified Rankin Scale (mRS) scores were assessed at 3 months in the outpatient clinic or by telephone interviews. Long-term mortality was assessed by electronic chart follow-up for up to 1,500 days...

Model-independent X-ray Mass Determinations for Clusters of Galaxies

Science.gov (United States)

Nulsen, Paul

2005-09-01

We propose to use high quality X-ray data from the Chandra archive to determine the mass distributions of about 60 clusters of galaxies over the largest possible range of radii. By avoiding unwarranted assumptions, model-independent methods make best use of high quality data. We will employ two model-independent methods. That used by Nulsen & Boehringer (1995) to determine the mass of the Virgo Cluster and a new method, that will be developed as part of the project. The new method will fit a general mass model directly to the X-ray spectra, making best possible use of the fitting errors to constrain mass profiles.

Model-independent analysis with BPM correlation matrices

International Nuclear Information System (INIS)

Irwin, J.; Wang, C.X.; Yan, Y.T.; Bane, K.; Cai, Y.; Decker, F.; Minty, M.; Stupakov, G.; Zimmermann, F.

1998-06-01

The authors discuss techniques for Model-Independent Analysis (MIA) of a beamline using correlation matrices of physical variables and Singular Value Decomposition (SVD) of a beamline BPM matrix. The beamline matrix is formed from BPM readings for a large number of pulses. The method has been applied to the Linear Accelerator of the SLAC Linear Collider (SLC)

Predictors of success after laparoscopic gastric bypass: a multivariate analysis of socioeconomic factors.

Science.gov (United States)

Lutfi, R; Torquati, A; Sekhar, N; Richards, W O

2006-06-01

Laparoscopic gastric bypass (LGB) has proven efficacy in causing significant and durable weight loss. However, the degree of postoperative weight loss and metabolic improvement varies greatly among individuals. Our study is aimed to identify independent predictors of successful weight loss after LGB. Socioeconomic demographics were prospectively collected on patients undergoing LGB. Primary endpoint was percent of excess weight loss (EWL) at 1-year follow-up. Insufficient weight loss was defined as EWL or=52.8%. According to this definition, 147 patients (81.7%) achieved successful weight loss 1 year after LGB. On univariate analysis, preoperative BMI had a significant effect on EWL, with patients with BMI vs 61.6%; p = 0.001). Marriage status was also a significant predictor of successful outcome, with single patients achieving a higher percentage of EWL than married patients (89.8% vs 77.7%; p = 0.04). Race had a noticeable but not statistically significant effect, with Caucasian patients achieving a higher percentage of EWL than African Americans (82.9% vs 60%; p = 0.06). Marital status remained an independent predictor of success in the multivariate logistic regression model after adjusting for covariates. Married patients were at more than two times the risk of failure compared to those who were unmarried (OR 2.6; 95% CI: 1.1-6.5, p = 0.04). Weight loss achieved at 1 year after LGB is suboptimal in superobese patients. Single patients with BMI < 50 had the best chance of achieving greater weight loss.

Modelo estructural predictor de la salud mental y física en mujeres A structural equation model for predictors of mental and physical health in women

Directory of Open Access Journals (Sweden)

Mónica Teresa González Ramírez

2008-02-01

Full Text Available OBJETIVO: Valorar la capacidad predictora del estrés, el apoyo social y la autoestima respecto de la salud mental y física del individuo mediante ecuaciones estructurales, integrando modelos parciales estimados anteriormente, lo que permite simplificar los efectos entre las variables. MÉTODOS: La muestra estudiada abarcó 283 mujeres con hijos. Todas las participantes residían en el municipio de General Escobedo, estado de Nuevo León, México. Las encuestas se realizaron en el segundo semestre de 2003, en los domicilios, utilizando cuestionarios de autoevaluación para valorar cada una de las variables incluidas en el modelo. Cada participante respondió a los cuestionarios en una sola sesión. Los resultados se analizaron con el programa AMOS 5.0, empleando el método de máxima verosimilitud, comúnmente utilizado en los modelos de ecuaciones estructurales. RESULTADOS: Los resultados obtenidos indican un ajuste aceptable en el modelo propuesto (ji2/gl = 3,03, GFI (índice de bondad del ajuste = 0,894, AGFI (índice de bondad del ajuste corregido = 0,848, RMSEA (error de aproximación cuadrático medio = 0,08, IFI (índice de ajuste incremental = 0,910. La varianza explicada es del 31,9% respecto del estrés, del 27,4% respecto de la salud física y del 72,1% respecto de la salud mental. CONCLUSIONES: El apoyo social y la autoestima son predictores del estrés; la edad y el estrés, predictores de la salud física; y el estrés, la autoestima y la salud física, predictores de la salud mental.OBJECTIVE: To measure the extent to which stress, social support, and self-esteem are predictors of an individual's mental and physical health. Structural equations were integrated with previously-estimated partial models, which simplify the relationships among variables. METHODS: The study sample included 283 women with children. All of the participants resided in the municipality of General Escobedo, state of Nuevo León, Mexico. The surveys were

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.

A domain-independent descriptive design model and its application to structured reflection on design processes

NARCIS (Netherlands)

Reymen, Isabelle; Hammer, D.K.; Kroes, P.A.; van Aken, Joan Ernst; van Aken, J.E.; Dorst, C.H.; Bax, M.F.T.; Basten, T

2006-01-01

Domain-independent models of the design process are an important means for facilitating interdisciplinary communication and for supporting multidisciplinary design. Many so-called domain-independent models are, however, not really domain independent. We state that to be domain independent, the

Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

Directory of Open Access Journals (Sweden)

Mostafa M Abbas

Full Text Available As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements becomes more desirable. Promoters are the key regulatory elements, which recruit the transcriptional machinery through binding to a variety of regulatory proteins (known as sigma factors. The identification of the promoter regions is very challenging because these regions do not adhere to specific sequence patterns or motifs and are difficult to determine experimentally. Machine learning represents a promising and cost-effective approach for computational identification of prokaryotic promoter regions. However, the quality of the predictors depends on several factors including: i training data; ii data representation; iii classification algorithms; iv evaluation procedures. In this work, we create several variants of E. coli promoter data sets and utilize them to experimentally examine the effect of these factors on the predictive performance of E. coli σ70 promoter models. Our results suggest that under some combinations of the first three criteria, a prediction model might perform very well on cross-validation experiments while its performance on independent test data is drastically very poor. This emphasizes the importance of evaluating promoter region predictors using independent test data, which corrects for the over-optimistic performance that might be estimated using the cross-validation procedure. Our analysis of the tested models shows that good prediction models often perform well despite how the non-promoter data was obtained. On the other hand, poor prediction models seems to be more sensitive to the choice of non-promoter sequences. Interestingly, the best performing sequence-based classifiers outperform the best performing structure-based classifiers on both cross-validation and independent test performance evaluation experiments. Finally, we propose a

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.

Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks

KAUST Repository

Lombardo, Luigi

2017-08-13

Soil Organic Carbon (SOC) estimation is crucial to manage both natural and anthropic ecosystems and has recently been put under the magnifying glass after the Paris agreement 2016 due to its relationship with greenhouse gas. Statistical applications have dominated the SOC stock mapping at regional scale so far. However, the community has hardly ever attempted to implement Quantile Regression (QR) to spatially predict the SOC distribution. In this contribution, we test QR to estimate SOC stock (0-30 $cm$ depth) in the agricultural areas of a highly variable semi-arid region (Sicily, Italy, around 25,000 $km2$) by using topographic and remotely sensed predictors. We also compare the results with those from available SOC stock measurement. The QR models produced robust performances and allowed to recognize dominant effects among the predictors with respect to the considered quantile. This information, currently lacking, suggests that QR can discern predictor influences on SOC stock at specific sub-domains of each predictors. In this work, the predictive map generated at the median shows lower errors than those of the Joint Research Centre and International Soil Reference, and Information Centre benchmarks. The results suggest the use of QR as a comprehensive and effective method to map SOC using legacy data in agro-ecosystems. The R code scripted in this study for QR is included.

Colour-independent partition functions in coloured vertex models

Energy Technology Data Exchange (ETDEWEB)

Foda, O., E-mail: omar.foda@unimelb.edu.au [Dept. of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010 (Australia); Wheeler, M., E-mail: mwheeler@lpthe.jussieu.fr [Laboratoire de Physique Théorique et Hautes Energies, CNRS UMR 7589 (France); Université Pierre et Marie Curie – Paris 6, 4 place Jussieu, 75252 Paris cedex 05 (France)

2013-06-11

We study lattice configurations related to S{sub n}, the scalar product of an off-shell state and an on-shell state in rational A{sub n} integrable vertex models, n∈{1,2}. The lattice lines are colourless and oriented. The state variables are n conserved colours that flow along the line orientations, but do not necessarily cover every bond in the lattice. Choosing boundary conditions such that the positions where the colours flow into the lattice are fixed, and where they flow out are summed over, we show that the partition functions of these configurations, with these boundary conditions, are n-independent. Our results extend to trigonometric A{sub n} models, and to all n. This n-independence explains, in vertex-model terms, results from recent studies of S{sub 2} (Caetano and Vieira, 2012, [1], Wheeler, (arXiv:1204.2089), [2]). Namely, 1.S{sub 2}, which depends on two sets of Bethe roots, {b_1} and {b_2}, and cannot (as far as we know) be expressed in single determinant form, degenerates in the limit {b_1}→∞, and/or {b_2}→∞, into a product of determinants, 2. Each of the latter determinants is an A{sub 1} vertex-model partition function.

Colour-independent partition functions in coloured vertex models

International Nuclear Information System (INIS)

Foda, O.; Wheeler, M.

2013-01-01

We study lattice configurations related to S n , the scalar product of an off-shell state and an on-shell state in rational A n integrable vertex models, n∈{1,2}. The lattice lines are colourless and oriented. The state variables are n conserved colours that flow along the line orientations, but do not necessarily cover every bond in the lattice. Choosing boundary conditions such that the positions where the colours flow into the lattice are fixed, and where they flow out are summed over, we show that the partition functions of these configurations, with these boundary conditions, are n-independent. Our results extend to trigonometric A n models, and to all n. This n-independence explains, in vertex-model terms, results from recent studies of S 2 (Caetano and Vieira, 2012, [1], Wheeler, (arXiv:1204.2089), [2]). Namely, 1.S 2 , which depends on two sets of Bethe roots, {b 1 } and {b 2 }, and cannot (as far as we know) be expressed in single determinant form, degenerates in the limit {b 1 }→∞, and/or {b 2 }→∞, into a product of determinants, 2. Each of the latter determinants is an A 1 vertex-model partition function

The independent relationship between triglycerides and coronary heart disease

Science.gov (United States)

Morrison, Alan; Hokanson, John E

2009-01-01

Aims: The aim was to review epidemiologic studies to reassess whether serum levels of triglycerides should be considered independently of high-density lipoprotein-cholesterol (HDL-C) as a predictor of coronary heart disease (CHD). Methods and results: We systematically reviewed population-based cohort studies in which baseline serum levels of triglycerides and HDL-C were included as explanatory variables in multivariate analyses with the development of CHD (coronary events or coronary death) as dependent variable. A total of 32 unique reports describing 38 cohorts were included. The independent association between elevated triglycerides and risk of CHD was statistically significant in 16 of 30 populations without pre-existing CHD. Among populations with diabetes mellitus or pre-existing CHD, or the elderly, triglycerides were not significantly independently associated with CHD in any of 8 cohorts. Triglycerides and HDL-C were mutually exclusive predictors of coronary events in 12 of 20 analyses of patients without pre-existing CHD. Conclusions: Epidemiologic studies provide evidence of an association between triglycerides and the development of primary CHD independently of HDL-C. Evidence of an inverse relationship between triglycerides and HDL-C suggests that both should be considered in CHD risk estimation and as targets for intervention. PMID:19436658

Bayesian Subset Modeling for High-Dimensional Generalized Linear Models

KAUST Repository

Liang, Faming

2013-06-01

This article presents a new prior setting for high-dimensional generalized linear models, which leads to a Bayesian subset regression (BSR) with the maximum a posteriori model approximately equivalent to the minimum extended Bayesian information criterion model. The consistency of the resulting posterior is established under mild conditions. Further, a variable screening procedure is proposed based on the marginal inclusion probability, which shares the same properties of sure screening and consistency with the existing sure independence screening (SIS) and iterative sure independence screening (ISIS) procedures. However, since the proposed procedure makes use of joint information from all predictors, it generally outperforms SIS and ISIS in real applications. This article also makes extensive comparisons of BSR with the popular penalized likelihood methods, including Lasso, elastic net, SIS, and ISIS. The numerical results indicate that BSR can generally outperform the penalized likelihood methods. The models selected by BSR tend to be sparser and, more importantly, of higher prediction ability. In addition, the performance of the penalized likelihood methods tends to deteriorate as the number of predictors increases, while this is not significant for BSR. Supplementary materials for this article are available online. © 2013 American Statistical Association.

Test of the Fishbein and Ajzen models as predictors of health care workers' glove use.

Science.gov (United States)

Levin, P F

1999-08-01

The aim of this study was to identify predictors of health care workers' glove use when there is a potential for blood exposure. The study hypothesis was that an extension of the theory of planned behavior would explain more of the variance in glove use behavior than the theory of reasoned action or theory of planned behavior. A random sample of nurses and laboratory workers (N = 527) completed a 26-item questionnaire with acceptable content validity and reliability estimates. Using structural equation modeling techniques, intention, attitude, and perceived risk were significant predictors of behavior. Perceived control and attitude were the significant determinants of intention. The theory of reasoned action was the most parsimonious model, explaining 70% of the variance in glove use behavior. The theory of planned behavior extension was a viable model to study behavior related to glove use and reducing workers' risks to bloodborne diseases.

Significant Independent Predictors of Vitamin D Deficiency in Inpatients and Outpatients of a Nephrology Unit

Directory of Open Access Journals (Sweden)

Recep Bentli

2013-01-01

Full Text Available Aims. Kidney disease was found to be a major risk factor for vitamin D deficiency in a population study of patients hospitalized. The aims of the study were to describe the prevalence of vitamin D deficiency inpatients and outpatients in a nephrology department during fall and to evaluate effect of assessing serum 25-hydroxyvitamin D (25(OHD levels and previous supplementation of cholecalciferol on vitamin D status. Methods. We studied 280 subjects in total, between October and January. The subjects were recruited from the following two groups: (a inpatients and (b outpatients in nephrology unit. We examined previous documentary evidence of vitamin D supplementation of the patients. Results. The prevalence of vitamin D deficiency among these 280 patients was 62,1% (174 patients. Fifty-three patients (18.9% had severe vitamin D deficiency, 121 patients (43.2% moderate vitamin D deficiency, and 66 patients (23.6% vitamin D insufficiency. In logistic regression analysis female gender, not having vitamin D supplementation history, low serum albumin, and low blood urea nitrogen levels were significant independent predictors of vitamin D deficiency while no association of vitamin D deficiency with diabetes mellitus, serum creatinine, eGFR, and being hospitalized was found. Conclusion. Vitamin D deficiency, seems to be an important problem in both inpatients and outpatients of nephrology. Monitoring serum 25(OHD concentrations regularly and replacement of vitamin D are important. Women in Turkey are at more risk of deficiency and may therefore need to consume higher doses of vitamin D.

An independent verification and validation of the Future Theater Level Model conceptual model

Energy Technology Data Exchange (ETDEWEB)

Hartley, D.S. III; Kruse, K.L.; Martellaro, A.J.; Packard, S.L.; Thomas, B. Jr.; Turley, V.K.

1994-08-01

This report describes the methodology and results of independent verification and validation performed on a combat model in its design stage. The combat model is the Future Theater Level Model (FTLM), under development by The Joint Staff/J-8. J-8 has undertaken its development to provide an analysis tool that addresses the uncertainties of combat more directly than previous models and yields more rapid study results. The methodology adopted for this verification and validation consisted of document analyses. Included were detailed examination of the FTLM design documents (at all stages of development), the FTLM Mission Needs Statement, and selected documentation for other theater level combat models. These documents were compared to assess the FTLM as to its design stage, its purpose as an analytical combat model, and its capabilities as specified in the Mission Needs Statement. The conceptual design passed those tests. The recommendations included specific modifications as well as a recommendation for continued development. The methodology is significant because independent verification and validation have not been previously reported as being performed on a combat model in its design stage. The results are significant because The Joint Staff/J-8 will be using the recommendations from this study in determining whether to proceed with develop of the model.

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.

Expanding Model Independent Approaches for Measuring the CKM angle $\\gamma$ at LHCb

CERN Multimedia

Prouve, Claire

2017-01-01

Model independent approaches to measuring the CKM angle $\\gamma$ in $B\\rightarrow DK$ decays at LHCb are explored. In particular, we consider the case where the $D$ meson decays into a final state with four hadrons. Using four-body final states such as $\\pi^+ \\pi^- \\pi^+ \\pi^-$, $K^+ \\pi^- \\pi^+ \\pi^-$ and $K^+ K^- \\pi^+ \\pi^-$ in addition to traditional 2 and 3 body states and has the potential to significantly improve to the overall constraint on $\\gamma$. There is a significant systematic uncertainty associated with modelling the complex phase of the $D$ decay amplitude across the five-dimensional phase space of the four body decay. It is therefore important to replace these model-dependent quantities with model-independent parameters as input for the $\\gamma$ measurement. These model independent parameters have been measured using quantum-correlated $\\psi(3770) \\rightarrow D^0 \\overline{D^0}$ decays collected by the CLEO-c experiment, and, for $D\\rightarrow K^+ \\pi^- \\pi^+ \\pi^-$, with $D^0-\\overline{D^0...

SMATASY. A Program for the model independent description of the Z resonance

International Nuclear Information System (INIS)

Kirsch, S.; Riemann, T.

1994-07-01

SMATASY is an interface for the ZF I T T ER package and may be used for the model independent description of the Z resonance at LEP 1 and SLC. It allows the determination of the Z mass and width and its resonance shape parameters r and j for cross-sections and their asymmetries. The r describes the peak height and j the interference of the Z resonance with photon exchange in each scattering channel and for σ T , σ FB , σ lr , σ pol etc. separately. Alternatively, the helicity amplitudes for a given scattering channel may be determined. We compare our formalism with other model independent approaches. The model independent treatment of QED corrections in SMATASY is applicable also far away from the Z peak. (orig.)

Compositional models and conditional independence in evidence theory

Czech Academy of Sciences Publication Activity Database

Jiroušek, Radim; Vejnarová, Jiřina

2011-01-01

Roč. 52, č. 3 (2011), s. 316-334 ISSN 0888-613X Institutional research plan: CEZ:AV0Z10750506 Keywords : Evidence theory * Conditional independence * multidimensional models Subject RIV: BA - General Mathematics Impact factor: 1.948, year: 2011 http://library.utia.cas.cz/separaty/2012/MTR/jirousek-0370515.pdf

Predictors of success after extracorporeal shock wave lithotripsy (ESWL) for renal calculi between 20-30 mm: a multivariate analysis model.

Science.gov (United States)

El-Assmy, Ahmed; El-Nahas, Ahmed R; Abo-Elghar, Mohamed E; Eraky, Ibrahim; El-Kenawy, Mahmoud R; Sheir, Khaled Z

2006-03-23

The first-line management of renal stones between 20-30 mm remains controversial. The Extracorporeal Shock Wave Lithotripsy (ESWL) stone-free rates for such patient groups vary widely. The purpose of this study was to define factors that have a significant impact on the stone-free rate after ESWL in such controversial groups. Between January 1990 and January 2004, 594 patients with renal stones 20-30 mm in length underwent ESWL monotherapy. Stone surface area was measured for all stones. The results of treatment were evaluated after 3 months of follow-up. The stone-free rate was correlated with stone and patient characteristics using the Chi-square test; factors found to be significant were further analyzed using multivariate analysis. Repeat ESWL was needed in 56.9% of cases. Post-ESWL complications occurred in 5% of cases and post-ESWL secondary procedures were required in 5.9%. At 3-month follow-up, the overall stone-free rate was 77.2%. Using the Chi-square test, stone surface area, location, number, radiological renal picture, and congenital renal anomalies had a significant impact on the stone-free rate. Multivariate analysis excluded radiological renal picture from the logistic regression model while other factors maintained their statistically significant effect on success rate, indicating that they were independent predictors. A regression analysis model was designed to estimate the probability of stone-free status after ESWL. The sensitivity of the model was 97.4%, the specificity 90%, and the overall accuracy 95.6%. Stone surface area, location, number, and congenital renal anomalies are prognostic predictors determining stone clearance after ESWL of renal calculi of 20-30 mm. High probability of stone clearance is obtained with single stone ESWL in such controversial groups and can define patients who would need other treatment modality.

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.

Predictors of physical activity in persons with mental illness: Testing a social cognitive model.

Science.gov (United States)

Zechner, Michelle R; Gill, Kenneth J

2016-12-01

This study examined whether the social cognitive theory (SCT) model can be used to explain the variance in physical exercise among persons with serious mental illnesses. A cross-sectional, correlational design was employed. Participants from community mental health centers and supported housing programs (N = 120) completed 9 measures on exercise, social support, self-efficacy, outcome expectations, barriers, and goal-setting. Hierarchical regression tested the relationship between self-report physical activity and SCT determinants while controlling for personal characteristics. The model explained 25% of the variance in exercise. Personal characteristics explained 18% of the variance in physical activity, SCT variables of social support, self-efficacy, outcome expectations, barriers, and goals were entered simultaneously, and they added an r2 change value of .07. Gender (β = -.316, p = .001) and Brief Symptom Inventory Depression subscale (β = -2.08, p exercise. In a separate stepwise multiple regression, we entered only SCT variables as potential predictors of exercise. Goal-setting was the single significant predictor, F(1, 118) = 13.59, p exercise in persons with mental illnesses. Goal-setting practices, self-efficacy, outcome expectations and social support from friends for exercise should be encouraged by psychiatric rehabilitation practitioners. People with more depressive symptoms and women exercise less. More work is needed on theoretical exploration of predictors of exercise. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Predictors of activity limitation in people with gout: a prospective study.

Science.gov (United States)

Stewart, Sarah; Rome, Keith; Eason, Alastair; House, Meaghan E; Horne, Anne; Doyle, Anthony J; Knight, Julie; Taylor, William J; Dalbeth, Nicola

2018-04-21

The objective of the study was to determine clinical factors associated with activity limitation and predictors of a change in activity limitation after 1 year in people with gout. Two hundred ninety-five participants with gout (disease duration limitation was assessed using the Health Assessment Questionnaire-II (HAQ-II). After 1 year, participants were invited to complete a further HAQ-II; follow-up questionnaires were available for 182 participants. Fully saturated and stepwise regression analyses were used to determine associations between baseline characteristics and HAQ-II at baseline and 1 year, and to determine predictors of worsening HAQ-II in those with normal baseline scores. Median (range) baseline HAQ-II was 0.20 (0-2.50) and 0.20 (0-2.80) after 1 year of follow-up. Pain score was the strongest independent predictor of baseline HAQ-II, followed by radiographic narrowing score, type 2 diabetes, swollen joint count, BMI, age and urate (model R 2  = 0.51, P limitation, and levels of activity limitation are, on average, stable over a 1-year period. Baseline pain scores are strongly associated with activity limitation and predict development of activity limitation in those with normal HAQ-II scores at baseline.

Outcome after hepatectomy-delirium as an independent predictor for mortality.

Science.gov (United States)

Veiga, Dalila; Luís, Clara; Parente, Daniela; Abelha, Fernando

2013-02-02

Most studies that follow up hepatectomy cases are limited in scope to an investigation of mortality and morbidity rates or the costs and length of hospital stay. In this study the authors aimed to characterize the quality of life and to evaluate mortality and its determinants after hepatectomy. This prospective study was carried in a Post-Anaesthesia Care Unit (PACU) over 15 months, and 70 patients submitted to hepatectomy were enrolled. Demographic and peri-operative characteristics were evaluated for associations with mortality. At admission and 6 months after discharge, patients completed a Short Form-36 questionnaire (SF-36) and have their independence in Activities of Daily Living (ADL) was evaluated. Binary and multiple logistic regression analyses were used to evaluate of associations with mortality, and the Wilcoxon signed rank test was used to compare SF-36 scores before and after 6 months after hepatectomy. The mortality rate was 19% at 6 months. Multivariate analysis identified postoperative delirium as an independent determinant for mortality. Six months after discharge, 46% patients stated that their health in general was better or much better than that 1 year previously. Six months after hepatectomy, patients had worse scores in the physical function domain of SF-36; however, scores for all the other domains did not differ. At this time point, patients were more dependent in instrumental ADL than before surgery (32% versus 7%, p = 0.027). This study identified postoperative delirium as an independent risk factor for mortality 6 months after hepatectomy. After 6 months, survivors were more dependent in instrumental ADL tasks and had worse scores in the physical function domain of SF-36.

Post-Operative Infection Is an Independent Risk Factor for Worse Long-Term Survival after Colorectal Cancer Surgery.

Science.gov (United States)

Kerin Povšič, Milena; Ihan, Alojz; Beovič, Bojana

2016-12-01

Colorectal cancer surgery is associated with a high incidence of post-operative infections, the outcome of which may be improved if diagnosed and treated early enough. We compared white blood cell (WBC) count, C-reactive protein (CRP), and procalcitonin (PCT) as predictors of post-operative infections and analyzed their impact on long-term survival. This retrospective study included 186 patients undergoing colorectal surgery. Post-operative values of WBC, CRP, and PCT were analyzed by the receiver operating characteristic (ROC) analysis. We followed infections 30 d after the surgery. A five-year survival was analyzed by Kaplan-Meier method and prognostic factors by Cox regression model. Fifty-five patients (29.5%) developed post-operative infection, the most frequent of which was surgical site infection (SSI). C-reactive protein on post-operative day three and PCT on post-operative day two demonstrated the highest diagnostic accuracy for infection (area under the curve [AUC] 0.739 and 0.735). C-reactive protein on post-operative day three was an independent predictor of infection. Five-year survival was higher in the non-infected group (70.8%), compared with the infected group (52.1%). The worst survival (40.9%) was identified in patients with organ/space SSI. Post-operative infection and tumor stage III-IV were independent predictors of a worse five-year survival. C-reactive protein on post-operative day three and PCT on post-operative day two may be early predictors of infection after colorectal cancer surgery. Post-operative infections in particular organ/space SSI have a negative impact on long-term survival.

Predictors of abnormal heart rate response to dipyridamole in patients undergoing myocardial perfusion SPECT

International Nuclear Information System (INIS)

De Souza Leao Lima, R.; Machado, L.; Azevedo, A.B.; De Lorenzo, A.

2011-01-01

The objective of this study was to identify predictors of abnormal HR response to dipyridamole (DIP) in patients undergoing myocardial perfusion SPECT (MPS). Patients with a reduced heart rate (HR) response to DIP have higher cardiac mortality, but the mechanism is unknown. We studied 432 patients who underwent dual-isotope gated MPS. DIP (0.56 mg/kg) was infused over 4 min, and Tc-99m tetrofosmin was injected 3 min after the end of the infusion. MPS was semiquantitatively interpreted. Left ventricular ejection fraction (LVEF) and volumes were automatically calculated. The population was categorized into quartiles according to HR ratio, and characteristics in each quartile were compared. Logistic regression analysis was performed to identify predictors of abnormal HR response, using the lowest quartile as the independent variable. Patients with abnormal HR response were more frequently without chest pain, with a history of chronic renal failure and taking digoxin. Baseline HR was higher and had fewer symptoms during stress. The stress and rest perfusion defects were greater, but reversibility was not; in addition, LVEF was lower. Multivariable logistic regression analysis demonstrated that the independent predictors of abnormal HR response were baseline HR and low LVEF. LV dysfunction is an independent predictor of abnormal HR response to DIP, and the association between low LVEF and low HR ratio may explain the link between abnormal HR ratio and increased mortality. (author)

Predictors of Enteral Tube Feeding in Hospitalized Older Adults.

Science.gov (United States)

Crenitte, Milton Roberto Furst; Avelino-Silva, Thiago Junqueira; Apolinario, Daniel; Curiati, Jose Antonio Esper; Campora, Flavia; Jacob-Filho, Wilson

2017-11-01

Despite general recognition that enteral tube feeding (ETF) is frequently employed in long-term care facilities and patients with dementia, remarkably little research has determined which factors are associated with its use in acutely ill older adults. In this study, we aimed to investigate determinants of ETF introduction in hospitalized older adults. We examined a retrospective cohort of acutely ill patients, aged 60 years and older, admitted to a university hospital's geriatric ward from 2014-2015, in São Paulo, Brazil. The main outcome was the introduction of ETF during hospitalization. Predictors of interest included age, sex, referring unit, comorbidity burden, functional status, malnutrition, depression, dementia severity, and delirium. Multivariate analysis was performed using backward stepwise logistic regression. A total of 214 cases were included. Mean age was 81 years, and 63% were women. Malnutrition was detected in 47% of the cases, dementia in 46%, and delirium in 36%. ETF was initiated in 44 (21%) admissions. Independent predictors of ETF were delirium (odds ratio [OR], 4.83; 95% CI, 2.12-11.01; P ETF. One in five acutely ill older adults used ETF while hospitalized. Delirium and functional dependency were independent predictors of its introduction. Risks and benefits of enteral nutrition in this particular context need to be further explored.

Predictors of Immigrant Children's School Achievement: A Comparative Study

Science.gov (United States)

Moon, Sung Seek; Kang, Suk-Young; An, Soonok

2009-01-01

This paper examines the predictors and indicators of immigrant children's school achievement, using the two of the most predominant groups of American immigrants (103 Koreans and 100 Mexicans). Regression analyses were conducted to determine which independent variables (acculturation, parenting school involvement, parenting style, parent…

A model technology transfer program for independent operators

Energy Technology Data Exchange (ETDEWEB)

Schoeling, L.G.

1996-08-01

In August 1992, the Energy Research Center (ERC) at the University of Kansas was awarded a contract by the US Department of Energy (DOE) to develop a technology transfer regional model. This report describes the development and testing of the Kansas Technology Transfer Model (KTTM) which is to be utilized as a regional model for the development of other technology transfer programs for independent operators throughout oil-producing regions in the US. It describes the linkage of the regional model with a proposed national technology transfer plan, an evaluation technique for improving and assessing the model, and the methodology which makes it adaptable on a regional basis. The report also describes management concepts helpful in managing a technology transfer program.

Model-independent Exoplanet Transit Spectroscopy

Science.gov (United States)

Aronson, Erik; Piskunov, Nikolai

2018-05-01

We propose a new data analysis method for obtaining transmission spectra of exoplanet atmospheres and brightness variation across the stellar disk from transit observations. The new method is capable of recovering exoplanet atmosphere absorption spectra and stellar specific intensities without relying on theoretical models of stars and planets. We simultaneously fit both stellar specific intensity and planetary radius directly to transit light curves. This allows stellar models to be removed from the data analysis. Furthermore, we use a data quality weighted filtering technique to achieve an optimal trade-off between spectral resolution and reconstruction fidelity homogenizing the signal-to-noise ratio across the wavelength range. Such an approach is more efficient than conventional data binning onto a low-resolution wavelength grid. We demonstrate that our analysis is capable of reproducing results achieved by using an explicit quadratic limb-darkening equation and that the filtering technique helps eliminate spurious spectral features in regions with strong telluric absorption. The method is applied to the VLT FORS2 observations of the exoplanets GJ 1214 b and WASP-49 b, and our results are in agreement with previous studies. Comparisons between obtained stellar specific intensity and numerical models indicates that the method is capable of accurately reconstructing the specific intensity. The proposed method enables more robust characterization of exoplanetary atmospheres by separating derivation of planetary transmission and stellar specific intensity spectra (that is model-independent) from chemical and physical interpretation.

A comparative study of independent particle model based ...

Indian Academy of Sciences (India)

We find that among these three independent particle model based methods, the ss-VSCF method provides most accurate results in the thermal averages followed by t-SCF and the v-VSCF is the least accurate. However, the ss-VSCF is found to be computationally very expensive for the large molecules. The t-SCF gives ...

Dietary tendencies as predictors of marathon time in novice marathoners.

Science.gov (United States)

Wilson, Patrick B; Ingraham, Stacy J; Lundstrom, Chris; Rhodes, Gregory

2013-04-01

The effects of dietary factors such as carbohydrate (CHO) on endurance-running performance have been extensively studied under laboratory-based and simulated field conditions. Evidence from "real-life" events, however, is poorly characterized. The purpose of this observational study was to examine the associations between prerace and in-race nutrition tendencies and performance in a sample of novice marathoners. Forty-six college students (36 women and 10 men) age 21.3 ± 3.3 yr recorded diet for 3 d before, the morning of, and during a 26.2-mile marathon. Anthropometric, physiological, and performance measurements were assessed before the marathon so the associations between diet and marathon time could be included as part of a stepwise-regression model. Mean marathon time was 266 ± 42 min. A pre-marathon 2-mile time trial explained 73% of the variability in marathon time (adjusted R2 = .73, p marathon time, explaining an additional 4% of the variability in marathon time (adjusted R2 = .77, p = .006). Other factors such as age, body-mass index, gender, day-before + morning-of energy, and in-race CHO were not significant independent predictors of marathon time. In this sample of primarily novice marathoners, DBMC intake was associated with faster marathon time, independent of other known predictors. These results suggest that novice and recreational marathoners should consider consuming a moderate to high amount of CHO in the 24-36 hr before a marathon.

Global Longitudinal Strain Is a Superior Predictor of All-Cause Mortality in Heart Failure With Reduced Ejection Fraction

DEFF Research Database (Denmark)

Sengeløv, Morten; Jørgensen, Peter Godsk; Jensen, Jan Skov

2015-01-01

failure clinic. The echocardiographic images were analyzed, and conventional and novel echocardiographic parameters were obtained. RESULTS: Many of the conventional echocardiographic parameters proved to be predictors of mortality. However, GLS remained an independent predictor of mortality...

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

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

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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.

Socio-Demographic Indicators, Intelligence, and Locus of Control as Predictors of Adult Financial Well-Being

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Adrian Furnham

2017-04-01

Full Text Available The current study investigated a longitudinal data set of 4790 adults examining a set of socio-demographic and psychological factors that influence adult financial well-being. Parental social status (at birth, childhood intelligence and self-esteem (at age 10, locus of control (at age 16, psychological distress (age 30, educational qualifications (age 34, current occupation, weekly net income, house ownership status, and number of rooms (all measured at age 38 years were examined. Structural Equation Modelling showed that childhood intelligence, locus of control, education and occupation were all independent predictors of adult financial well-being for both men and women. Parental social status and psychological distress were also significant predictors of the outcome variable for men, but not for women. Whereas for women, in comparison to men, the effects of current occupation and childhood intelligence on the outcome variable appeared to be stronger. The strongest predictor of adult financial well-being was current occupational prestige, followed by educational achievement. The gender deferential of financial well-being indicators and its implications are discussed.

Intracranial tumors in infants: long-term functional outcome, survival, and its predictors.

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Pillai, Shibu; Metrie, Mary; Dunham, Christopher; Sargent, Michael; Hukin, Juliette; Steinbok, Paul

2012-04-01

Intracranial tumors are rare in the first year of life. This study evaluates survival rates and functional outcomes of survivors at least 5 years after diagnosis and the predictors of this outcome. A retrospective chart review of all infants with a primary intracranial tumor was carried out. Radiology and pathology were re-reviewed. Outcome was assessed at 5 years or more after diagnosis using Bloom's categories (Bloom 1-2 = good outcome, the rest = poor outcome) and late effects severity scoring. Age, tumor location, size, extent of tumor resection, type of adjuvant therapy given, and WHO grade of tumor histology were evaluated as predictors of outcome. Among 35 infants, 20 (57%) survived, with 12 (34%) having a good outcome. Deficits among the survivors included neurological dysfunction in 14 (70%), visual impairment in 9 (45%), endocrine dysfunction in 5 (25%), and auditory disability in 3 (15%). Ten of the 20 survivors were either attending regular school or were engaged in a skilled job. At presentation, older age and an infratentorial location of the tumor are predictors of poor outcome. After histopathological diagnosis, the WHO grading of tumor is the only independent predictor of survival (p = 0.002) and functional outcome (p brain tumors (34%) had a good functional outcome and approximately a quarter of them (28%) were able to attend regular school or take up a skilled job. After tissue diagnosis, histological grade of tumor is the only independent predictor associated with outcome.

Predictors of stethoscope disinfection among pediatric health care providers.

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Muniz, Jeanette; Sethi, Rosh K V; Zaghi, Justin; Ziniel, Sonja I; Sandora, Thomas J

2012-12-01

Stethoscopes are contaminated with bacteria, but predictors of stethoscope disinfection frequency are unknown. We sought to describe health care provider stethoscope disinfection attitudes and practices and determine predictors of frequent disinfection. We used an anonymous online survey of nurses, nurse practitioners, and physicians at a pediatric hospital. We assessed frequency and methods of disinfection, perceptions of contamination, and barriers to disinfection. Multivariate logistic regression models were used to identify independent predictors of disinfecting after every use. One thousand four hundred one respondents completed the survey: 76% believed that infection transmission occurs via stethoscopes, but only 24% reported disinfecting after every use. In multivariate analyses, belief that infection transmission occurs via stethoscopes significantly increased the odds of disinfection after every use (odds ratio [OR], 2.06 [95% confidence interval (CI): 1.38-3.06]). The odds of disinfection after every use were significantly decreased in those who perceived the following barriers: lack of time (OR, 0.31 [95% CI: 0.18-0.54]), lack of access to disinfection material (OR, 0.41 [95% CI: 0.29-0.57]), or lack of visual reminders to disinfect (OR, 0.22 [95% CI: 0.14-0.34]). Only a minority of pediatric health care providers reported disinfecting their stethoscopes after every use. Increasing access to disinfection materials and visual reminders in health care facilities may improve stethoscope disinfection practices. Copyright © 2012 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

Predictors of Total Mortality and Echocardiographic Response for Cardiac Resynchronization Therapy: A Cohort Study

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Guilherme Ferreira Gazzoni

2017-11-01

Full Text Available Abstract Background: Clinical studies demonstrate that up to 40% of patients do not respond to cardiac resynchronization therapy (CRT, thus, appropriate patient selection is critical to the success of CRT in heart failure. Objective: Evaluation of mortality predictors and response to CRT in the Brazilian scenario. Methods: Retrospective cohort study including patients submitted to CRT in a tertiary hospital in southern Brazil from 2008 to 2014. Survival was assessed through a database of the State Department of Health (RS. Predictors of echocardiographic response were evaluated using Poisson regression. Survival analysis was performed by Cox regression and Kaplan Meyer curves. A two-tailed p value less than 0.05 was considered statistically significant. Results: A total of 170 patients with an average follow-up of 1011 ± 632 days were included. The total mortality was 30%. The independent predictors of mortality were age (hazard ratio [HR] of 1.05, p = 0.027, previous acute myocardial infarction (AMI (HR of 2.17, p = 0.049 and chronic obstructive pulmonary disease (COPD (HR of 3.13, p = 0.015. The percentage of biventricular stimulation at 6 months was identified as protective factor of mortality ([HR] 0.97, p = 0.048. The independent predictors associated with the echocardiographic response were absence of mitral insufficiency, presence of left bundle branch block and percentage of biventricular stimulation. Conclusion: Mortality in patients submitted to CRT in a tertiary hospital was independently associated with age, presence of COPD and previous AMI. The percentage of biventricular pacing evaluated 6 months after resynchronizer implantation was independently associated with improved survival and echocardiographic response.

Predictors of sperm recovery after cryopreservation in testicular cancer

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James M Hotaling

2016-01-01

Full Text Available Our objective was to identify predictors of improved postthaw semen quality in men with testicular cancer banking sperm for fertility preservation. We reviewed 173 individual semen samples provided by 67 men with testicular germ cell tumor (TGCT who cryopreserved sperm before gonadotoxic treatment between 1994 and 2010 at our tertiary university medical center. Our main outcomes measures were independent predictors for the greater postthaw total motile count (TMC in men with TGCT. Men with NSGCT were more likely to be younger (P median fresh TMC each had increased odds of a postthaw TMC greater than median postthaw TMC. Interestingly, age, advanced cancer stage (II or III, rapid freezing protocol, and motility enhancer did not show increased odds of improved postthaw TMC in our models. In conclusion, men with TGCT or poor fresh TMC should consider preserving additional vials (at least 15 vials before oncologic treatment. Density gradient purification should be routinely used to optimize postthaw TMC in men with TGCT. Larger, randomized studies evaluating cancer stage and various cryopreservation techniques are needed to assist in counseling men with TGCT regarding fertility preservation and optimizing cryosurvival.

Model-independent plot of dynamic PET data facilitates data interpretation and model selection.

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Munk, Ole Lajord

2012-02-21

When testing new PET radiotracers or new applications of existing tracers, the blood-tissue exchange and the metabolism need to be examined. However, conventional plots of measured time-activity curves from dynamic PET do not reveal the inherent kinetic information. A novel model-independent volume-influx plot (vi-plot) was developed and validated. The new vi-plot shows the time course of the instantaneous distribution volume and the instantaneous influx rate. The vi-plot visualises physiological information that facilitates model selection and it reveals when a quasi-steady state is reached, which is a prerequisite for the use of the graphical analyses by Logan and Gjedde-Patlak. Both axes of the vi-plot have direct physiological interpretation, and the plot shows kinetic parameter in close agreement with estimates obtained by non-linear kinetic modelling. The vi-plot is equally useful for analyses of PET data based on a plasma input function or a reference region input function. The vi-plot is a model-independent and informative plot for data exploration that facilitates the selection of an appropriate method for data analysis. Copyright © 2011 Elsevier Ltd. All rights reserved.

DEAR1 is a dominant regulator of acinar morphogenesis and an independent predictor of local recurrence-free survival in early-onset breast cancer.

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Steven T Lott

2009-05-01

Full Text Available Breast cancer in young women tends to have a natural history of aggressive disease for which rates of recurrence are higher than in breast cancers detected later in life. Little is known about the genetic pathways that underlie early-onset breast cancer. Here we report the discovery of DEAR1 (ductal epithelium-associated RING Chromosome 1, a novel gene encoding a member of the TRIM (tripartite motif subfamily of RING finger proteins, and provide evidence for its role as a dominant regulator of acinar morphogenesis in the mammary gland and as an independent predictor of local recurrence-free survival in early-onset breast cancer.Suppression subtractive hybridization identified DEAR1 as a novel gene mapping to a region of high-frequency loss of heterozygosity (LOH in a number of histologically diverse human cancers within Chromosome 1p35.1. In the breast epithelium, DEAR1 expression is limited to the ductal and glandular epithelium and is down-regulated in transition to ductal carcinoma in situ (DCIS, an early histologic stage in breast tumorigenesis. DEAR1 missense mutations and homozygous deletion (HD were discovered in breast cancer cell lines and tumor samples. Introduction of the DEAR1 wild type and not the missense mutant alleles to complement a mutation in a breast cancer cell line, derived from a 36-year-old female with invasive breast cancer, initiated acinar morphogenesis in three-dimensional (3D basement membrane culture and restored tissue architecture reminiscent of normal acinar structures in the mammary gland in vivo. Stable knockdown of DEAR1 in immortalized human mammary epithelial cells (HMECs recapitulated the growth in 3D culture of breast cancer cell lines containing mutated DEAR1, in that shDEAR1 clones demonstrated disruption of tissue architecture, loss of apical basal polarity, diffuse apoptosis, and failure of lumen formation. Furthermore, immunohistochemical staining of a tissue microarray from a cohort of 123 young

Incidence, predictors and outcomes of postoperative coma: an observational study of 858,606 patients.

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Newman, Jessica; Blake, Kathryn; Fennema, Jordan; Harris, David; Shanks, Amy; Avidan, Michael S; Kelz, Max B; Mashour, George A

2013-08-01

Coma is a state of profound unresponsiveness that can occur as a serious perioperative complication. The study of risk factors for, and sequelae of, postoperative coma has been limited due to the rarity of the event. To determine the incidence, risk factors and impact of postoperative coma in a large patient population. Observational study using a prospectively gathered national dataset. Data from 858 606 patients were analysed. The incidence of postoperative coma of more than 24-h duration was identified. Logistic regression was used to identify independent predictors and develop a risk model of postoperative coma in derivation and validation cohorts; 30-day mortality was also analysed. The incidence of postoperative coma was 0.06%. Multivariate analysis revealed the following independent predictors: liver disease, systemic sepsis, age at least 63 years, renal disease, emergency operation, cardiac disease, hypertension, prior neurological disease, diabetes mellitus and BMI 25 to 29.99 kg m (protective). These predictors were incorporated into a risk index classification; odds ratios for postoperative coma increased from 2.5 with one risk factor to 18.4 with three. Coma was associated with 74.2% all-cause mortality; coma associated with cardiac arrest had a 1.9-fold higher mortality. This is the largest study of postoperative coma ever reported and will be useful for determining risk of coma of more than 24 h duration when evaluating an unresponsive patient following surgery. Data on prognosis will aid medical and ethical decision-making for the comatose surgical patient.

Inflammatory markers as predictors of depression and anxiety in adolescents: Statistical model building with component-wise gradient boosting.

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Walss-Bass, Consuelo; Suchting, Robert; Olvera, Rene L; Williamson, Douglas E

2018-07-01

Immune system abnormalities have been repeatedly observed in several psychiatric disorders, including severe depression and anxiety. However, whether specific immune mediators play an early role in the etiopathogenesis of these disorders remains unknown. In a longitudinal design, component-wise gradient boosting was used to build models of depression, assessed by the Mood-Feelings Questionnaire-Child (MFQC), and anxiety, assessed by the Screen for Child Anxiety Related Emotional Disorders (SCARED) in 254 adolescents from a large set of candidate predictors, including sex, race, 39 inflammatory proteins, and the interactions between those proteins and time. Each model was reduced via backward elimination to maximize parsimony and generalizability. Component-wise gradient boosting and model reduction found that female sex, growth- regulated oncogene (GRO), and transforming growth factor alpha (TGF-alpha) predicted depression, while female sex predicted anxiety. Differential onset of puberty as well as a lack of control for menstrual cycle may also have been responsible for differences between males and females in the present study. In addition, investigation of all possible nonlinear relationships between the predictors and the outcomes was beyond the computational capacity and scope of the present research. This study highlights the need for novel statistical modeling to identify reliable biological predictors of aberrant psychological behavior. Copyright © 2018 Elsevier B.V. All rights reserved.

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

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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.

Predictor variable resolution governs modeled soil types

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Soil mapping identifies different soil types by compressing a unique suite of spatial patterns and processes across multiple spatial scales. It can be quite difficult to quantify spatial patterns of soil properties with remotely sensed predictor variables. More specifically, matching the right scale...

The independent molecular interaction sites model. Pt. 1

International Nuclear Information System (INIS)

Naumann, K.H.; Lippert, E.

1981-01-01

A new reference system for the treatment of molecular fluids within the framework of thermodynamic perturbation theory is presented. The basic ingredient of our approach is a potential transformation which allows us to view molecular liquids and gases as mixtures of formally independent molecular interaction sites (IMIS model). Some relations between out method and the RAM theory are discussed. (orig.)

MAGE-C2/CT10 protein expression is an independent predictor of recurrence in prostate cancer.

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Lotta von Boehmer

Full Text Available The cancer-testis (CT family of antigens is expressed in a variety of malignant neoplasms. In most cases, no CT antigen is found in normal tissues, except in testis, making them ideal targets for cancer immunotherapy. A comprehensive analysis of CT antigen expression has not yet been reported in prostate cancer. MAGE-C2/CT-10 is a novel CT antigen. The objective of this study was to analyze extent and prognostic significance of MAGE-C2/CT10 protein expression in prostate cancer. 348 prostate carcinomas from consecutive radical prostatectomies, 29 castration-refractory prostate cancer, 46 metastases, and 45 benign hyperplasias were immunohistochemically analyzed for MAGE-C2/CT10 expression using tissue microarrays. Nuclear MAGE-C2/CT10 expression was identified in only 3.3% primary prostate carcinomas. MAGE-C2/CT10 protein expression was significantly more frequent in metastatic (16.3% positivity and castration-resistant prostate cancer (17% positivity; p<0.001. Nuclear MAGE-C2/CT10 expression was identified as predictor of biochemical recurrence after radical prostatectomy (p = 0.015, which was independent of preoperative PSA, Gleason score, tumor stage, and surgical margin status in multivariate analysis (p<0.05. MAGE-C2/CT10 expression in prostate cancer correlates with the degree of malignancy and indicates a higher risk for biochemical recurrence after radical prostatectomy. Further, the results suggest MAGE-C2/CT10 as a potential target for adjuvant and palliative immunotherapy in patients with prostate cancer.

Predictors of outcome after elective endovascular abdominal aortic aneurysm repair and external validation of a risk prediction model.

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Wisniowski, Brendan; Barnes, Mary; Jenkins, Jason; Boyne, Nicholas; Kruger, Allan; Walker, Philip J

2011-09-01

survival (C statistic = .800), and initial type I endoleak (C statistic = .850). The outcomes of elective EVAR at the RBWH are broadly consistent with those of a nationwide Australian audit and recent randomized trials. Age and ASA score are independent predictors of midterm survival after elective EVAR. The ERA model predicts mortality-related outcomes and initial type I endoleak well for RBWH elective EVAR patients. Copyright © 2011 Society for Vascular Surgery. All rights reserved.

Copeptin, procalcitonin and routine inflammatory markers-predictors of infection after stroke.

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Felix Fluri

Full Text Available Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality.In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, urinary tract infection (UTI other infection (OI. Blood samples were collected on admission, and days 1, and 3 to assess white blood cells (WBC, monocytes, C-reactive protein (CRP, procalcitonin (PCT, and copeptin. To determine the magnitude of association with the development of infections, odds ratios (OR were calculated for each prognostic blood marker. The discriminatory ability of different predictors was assessed, by calculating area under the receiver operating characteristic curves (AUC. Prognostic models including the three parameters with the best performance were identified.Of 383 patients, 66 (17.2% developed an infection after onset of stroke. WBC, CRP, copeptin and PCT were all independent predictors of any infection, pneumonia and UTI developed at least 24 hours after measurements. The combination of the biomarkers WBC, CRP and copeptin (AUC: 0.92 and WBC, CRP and PCT (AUC: 0.90 showed a better predictive accuracy concerning the development of pneumonia during hospitalization compared to each marker by itself (p-Wald <0.0001.Among ischemic stroke patients, copeptin, PCT, WBC and CRP measured on admission were predictors of infection in general, and specifically for pneumonia and UTI within 5 days after stroke. The combination of these biomarkers improved the prediction of patients who developed an infection.

Cosmological model-independent Gamma-ray bursts calibration and its cosmological constraint to dark energy

International Nuclear Information System (INIS)

Xu, Lixin

2012-01-01

As so far, the redshift of Gamma-ray bursts (GRBs) can extend to z ∼ 8 which makes it as a complementary probe of dark energy to supernova Ia (SN Ia). However, the calibration of GRBs is still a big challenge when they are used to constrain cosmological models. Though, the absolute magnitude of GRBs is still unknown, the slopes of GRBs correlations can be used as a useful constraint to dark energy in a completely cosmological model independent way. In this paper, we follow Wang's model-independent distance measurement method and calculate their values by using 109 GRBs events via the so-called Amati relation. Then, we use the obtained model-independent distances to constrain ΛCDM model as an example

Predictor Relationships between Values Held by Married Individuals, Resilience and Conflict Resolution Styles: A Model Suggestion

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Tosun, Fatma; Dilmac, Bulent

2015-01-01

The aim of the present research is to reveal the predictor relationships between the values held by married individuals, resilience and conflict resolution styles. The research adopts a relational screening model that is a sub-type of the general screening model. The sample of the research consists of 375 married individuals, of which 173 are…

Modelling Central Bank Independence and Inflation: Deus Ex Machina?

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Dumiter Florin

2015-11-01

Full Text Available Central bank independence represents the core element of assessing the complex relationship between government and central bank, having at background the fundamental issue of a free monetary policy decision-making process from the hands of the political circle. However, central bank independence is a multilevel concept within some social, economic and behavioral implications both for the central banks and for the society at whole. Central bank independence is needed in order to establish an autonomous central bank with a high degree of freedom in choosing its’ instruments, objectives, techniques and tactics. Moreover, a high degree of transparency for the public disclosure and monitoring of central bank operation and transaction is needed for the social barometer of the central bank. Consequently the central bank must have a high degree of accountability and responsibility vis - á - vis of the most democratic institution, i.e. Parliament. In this article it is presented a comprehensive study regarding the complex relationship between central bank independence and inflation by modeling these two monetary policy panacea, in order to make a fine tuning regarding the causal relationship established in a heterodox manner.

Predictors of Home Deliveries in Rakai District, Uganda | Nuwaha ...

African Journals Online (AJOL)

In order to identify independent predictors for home delivery, 211 women from 21 clusters, who had a delivery in the previous one year, were interviewed in Rakai District, Uganda, from June 2 to 30, 1997. Mothers answered questions regarding socio-economic, local, reproductive and self-efficacy variables and whether ...

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.

Evaluation of the minute ventilation recovery time as a predictor of weaning in mechanically ventilated COPD patients in respiratory failure

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Alaa Eldin Elgazzar

2013-04-01

Conclusion: The minute ventilation recovery time is a good, reliable predictor of weaning success and it is the most independent parameter among other weaning predictors that can predict a successful spontaneous breathing trial (SBT.

MATHEMATICAL MODEL OF WHEELSET OSCILLATIONS WITH INDEPENDENT WHEEL ROTATION IN THE HORIZONTAL PLANE

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S. V. Myamlin

2016-08-01

Full Text Available Purpose. The work is devoted to the study of horizontal oscillation and the assessment of the motion stability of a single wheelset with independent wheel rotation, and to the comparison of stability indicators of the typical wheelset and the wheelset with independent wheel rotation. This is connected with the necessity to increase traffic speed of rolling stock, improve road safety and comfort of passengers. Methodology. To achieve this purpose we used the methods of mathematical simulation of railway rolling stock dynamics, as well as the linear algebra methods to assess the stability of solutions of the linear homogeneous differential equations. Findings. To solve the set task the design model of a single wheelset with independent wheel rotation was created. The wheelset is not a single solid body; each of the wheelset axles has a surplus degree of freedom. Thus, we obtained the system with 4 degrees of freedom. The design model allowed to obtain the system of linear homogeneous differential equations describing the oscillations of the represented wheelset in a horizontal plane on a straight track section. On the basis of the computer modeling were calculated the eigenvalues of the differential equation system coefficients and the asymptotic stability analysis of the wheelset motion with independent wheel rotation. The increment and the frequency of fluctuations were compared with similar indicators for the standard wheelset. The authors also discussed non-oscillatory forms of the wheelset motion and the issues of wheelset self-centering on the track. Originality. The result of the work is the mathematical model of the sinuous movement of a single wheelset, in two-dimensional formulation, with independent wheel rotation and the estimate of the dynamic indices during its motion on a straight track section without any irregularities. There were also proposed the ways to ensure the self-centering on the track of the wheelset with independent

Two Higgs Doublet Model and Model Independent Interpretation of Neutral Higgs Boson Searches

CERN Document Server

Abbiendi, G.; Ainsley, C.; Akesson, P.F.; Alexander, G.; Allison, John; Anderson, K.J.; Arcelli, S.; Asai, S.; Ashby, S.F.; Axen, D.; Azuelos, G.; Bailey, I.; Ball, A.H.; Barberio, E.; Barlow, Roger J.; Baumann, S.; Behnke, T.; Bell, Kenneth Watson; Bella, G.; Bellerive, A.; Benelli, G.; Bentvelsen, S.; Bethke, S.; Biebel, O.; Bloodworth, I.J.; Boeriu, O.; Bock, P.; Bohme, J.; Bonacorsi, D.; Boutemeur, M.; Braibant, S.; Bright-Thomas, P.; Brigliadori, L.; Brown, Robert M.; Burckhart, H.J.; Cammin, J.; Capiluppi, P.; Carnegie, R.K.; Carter, A.A.; Carter, J.R.; Chang, C.Y.; Charlton, David G.; Clarke, P.E.L.; Clay, E.; Cohen, I.; Cooke, O.C.; Couchman, J.; Couyoumtzelis, C.; Coxe, R.L.; Csilling, A.; Cuffiani, M.; Dado, S.; Dallavalle, G.Marco; Dallison, S.; de Roeck, A.; de Wolf, E.; Dervan, P.; Desch, K.; Dienes, B.; Dixit, M.S.; Donkers, M.; Dubbert, J.; Duchovni, E.; Duckeck, G.; Duerdoth, I.P.; Estabrooks, P.G.; Etzion, E.; Fabbri, F.; Fanti, M.; Feld, L.; Ferrari, P.; Fiedler, F.; Fleck, I.; Ford, M.; Frey, A.; Furtjes, A.; Futyan, D.I.; Gagnon, P.; Gary, J.W.; Gaycken, G.; Geich-Gimbel, C.; Giacomelli, G.; Giacomelli, P.; Glenzinski, D.; Goldberg, J.; Grandi, C.; Graham, K.; Gross, E.; Grunhaus, J.; Gruwe, M.; Gunther, P.O.; Hajdu, C.; Hanson, G.G.; Hansroul, M.; Hapke, M.; Harder, K.; Harel, A.; Harin-Dirac, M.; Hauke, A.; Hauschild, M.; Hawkes, C.M.; Hawkings, R.; Hemingway, R.J.; Hensel, C.; Herten, G.; Heuer, R.D.; Hill, J.C.; Hocker, James Andrew; Hoffman, Kara Dion; Homer, R.J.; Honma, A.K.; Horvath, D.; Hossain, K.R.; Howard, R.; Huntemeyer, P.; Igo-Kemenes, P.; Ishii, K.; Jacob, F.R.; Jawahery, A.; Jeremie, H.; Jones, C.R.; Jovanovic, P.; Junk, T.R.; Kanaya, N.; Kanzaki, J.; Karapetian, G.; Karlen, D.; Kartvelishvili, V.; Kawagoe, K.; Kawamoto, T.; Keeler, R.K.; Kellogg, R.G.; Kennedy, B.W.; Kim, D.H.; Klein, K.; Klier, A.; Kluth, S.; Kobayashi, T.; Kobel, M.; Kokott, T.P.; Komamiya, S.; Kowalewski, Robert V.; Kress, T.; Krieger, P.; von Krogh, J.; Kuhl, T.; Kupper, M.; Kyberd, P.; Lafferty, G.D.; Landsman, H.; Lanske, D.; Lawson, I.; Layter, J.G.; Leins, A.; Lellouch, D.; Letts, J.; Levinson, L.; Liebisch, R.; Lillich, J.; List, B.; Littlewood, C.; Lloyd, A.W.; Lloyd, S.L.; Loebinger, F.K.; Long, G.D.; Losty, M.J.; Lu, J.; Ludwig, J.; Macchiolo, A.; Macpherson, A.; Mader, W.; Marcellini, S.; Marchant, T.E.; Martin, A.J.; Martin, J.P.; Martinez, G.; Mashimo, T.; Mattig, Peter; McDonald, W.John; McKenna, J.; McMahon, T.J.; McPherson, R.A.; Meijers, F.; Mendez-Lorenzo, P.; Menges, W.; Merritt, F.S.; Mes, H.; Michelini, A.; Mihara, S.; Mikenberg, G.; Miller, D.J.; Mohr, W.; Montanari, A.; Mori, T.; Nagai, K.; Nakamura, I.; Neal, H.A.; Nisius, R.; O'Neale, S.W.; Oakham, F.G.; Odorici, F.; Ogren, H.O.; Oh, A.; Okpara, A.; Oreglia, M.J.; Orito, S.; Pasztor, G.; Pater, J.R.; Patrick, G.N.; Patt, J.; Pfeifenschneider, P.; Pilcher, J.E.; Pinfold, J.; Plane, David E.; Poli, B.; Polok, J.; Pooth, O.; Przybycien, M.; Quadt, A.; Rembser, C.; Renkel, P.; Rick, H.; Rodning, N.; Roney, J.M.; Rosati, S.; Roscoe, K.; Rossi, A.M.; Rozen, Y.; Runge, K.; Runolfsson, O.; Rust, D.R.; Sachs, K.; Saeki, T.; Sahr, O.; Sarkisyan, E.K.G.; Sbarra, C.; Schaile, A.D.; Schaile, O.; Scharff-Hansen, P.; Schroder, Matthias; Schumacher, M.; Schwick, C.; Scott, W.G.; Seuster, R.; Shears, T.G.; Shen, B.C.; Shepherd-Themistocleous, C.H.; Sherwood, P.; Siroli, G.P.; Skuja, A.; Smith, A.M.; Snow, G.A.; Sobie, R.; Soldner-Rembold, S.; Spagnolo, S.; Sproston, M.; Stahl, A.; Stephens, K.; Stoll, K.; Strom, David M.; Strohmer, R.; Stumpf, L.; Surrow, B.; Talbot, S.D.; Tarem, S.; Taylor, R.J.; Teuscher, R.; Thiergen, M.; Thomas, J.; Thomson, M.A.; Torrence, E.; Towers, S.; Toya, D.; Trefzger, T.; Trigger, I.; Trocsanyi, Z.; Tsur, E.; Turner-Watson, M.F.; Ueda, I.; Vachon, B.; Vannerem, P.; Verzocchi, M.; Voss, H.; Vossebeld, J.; Waller, D.; Ward, C.P.; Ward, D.R.; Watkins, P.M.; Watson, A.T.; Watson, N.K.; Wells, P.S.; Wengler, T.; Wermes, N.; Wetterling, D.; White, J.S.; Wilson, G.W.; Wilson, J.A.; Wyatt, T.R.; Yamashita, S.; Zacek, V.; Zer-Zion, D.

2001-01-01

Searches for the neutral Higgs bosons h0 and A0, are used to obtain limits on the Type II Two Higgs Doublet Model (2HDM(II)) with no CP-violation in the Higgs sector and no additional particles besides the five Higgs bosons. The analysis combines approximately 170 pb-1 of data collected with the OPAL detector at sqrt{s} ~ 189 GeV with previous runs at sqrt{s} ~ mZ and sqrt{s} ~ 183 GeV. The searches are sensitive to the h0, A0 -> qq, gg, tau+tau- and h0 -> A0A0 decay modes of the Higgs bosons. For the first time, the 2HDM(II) parameter space is explored in a detailed scan, and new flavour independent analyses are applied to examine regions in which the neutral Higgs bosons decay predominantly into light quarks or gluons. Model-independent limits are also given.

Coronary artery ectasia, an independent predictor of no-reflow after primary PCI for ST-elevation myocardial infarction.

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Schram, H C F; Hemradj, V V; Hermanides, R S; Kedhi, E; Ottervanger, J P

2018-04-25

The no-reflow phenomenon is a serious complication after primary percutaneous coronary intervention (PCI) for ST-elevation Myocardial Infarction (STEMI). Coronary artery ectasia (CAE) may increase the risk of no-reflow, however, only limited data is available on the potential impact of CAE. The aim of this study was to determine the potential association between CAE and no-reflow after primary PCI. A case control study was performed based on a prospective cohort of STEMI patients from January 2000 to December 2011. All patients with TIMI 0-1 flow post primary PCI, in the absence of dissection, thrombus, spasm or high-grade residual stenosis, were considered as no-reflow case. Control subjects were two consecutive STEMI patients after each case, with TIMI flow ≥2 after primary PCI. CAE was defined as dilatation of an arterial segment to a diameter at least 1.5 times that of the adjacent normal coronary artery. In the no-reflow group, frequency of CAE was significantly higher (33.8% vs 3.9%, p PCI (91% vs 71% p = 0.03), less often anterior STEMI (3% vs 37%, p PCI with stenting (47% vs 74%, p = 0.003). After multivariate analysis, CAE remained a strong and independent predictor of no-reflow (OR 13.9, CI 4.7-41.2, p PCI for STEMI. Future studies should assess optimal treatment. Copyright © 2017 Elsevier B.V. All rights reserved.

Predictors of Hospitalization among Children on ART in Ethiopia: a Cohort study.

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Haileamlak, Abraham; Hagos, Tesfalem; Abebe, Workeabeba; Abraham, Loko; Asefa, Henok; Teklu, Alula M

2017-02-01

Substantial progress has been made in the management of pediatric HIV infection in Ethiopia with the implementation of mother-to-child-prevention programs. Since the introduction of HAART in 2005, mortality among HIV-infected children has reduced while the rate of hospitalization was expected to rise. The purpose of this study, therefore, was to assess predictors of hospitalization in children on ART in seven university referral hospitals in Ethiopia. A prospective cohort study design was employed on children age 0-18 years as part of a multisite observational study. ART-experienced eligible and ART-naïve children with HIV/AIDS were enrolled into the Advanced Clinical Monitoring (ACM) till December 31, 2012 were included. From the database, information on hospitalization and other independent variables were extracted. Analysis was done using both SPSS for Windows version 16.0 and STATA. Descriptive analyses and modeling was done using logistic regression. Of the 405 children on ART (174 experienced, 231 naive), 86 (20.7%) were hospitalized for various reasons; two children were excluded since they were hospitalized for unrelated conditions (appendicitis and burn). Fifty one (60.7%) of the eighty four admitted children were hospitalized in the first six months of ART initiation. Of the independent variables, only the presence of opportunistic infections and duration on ART were significantly associated with hospitalization both on bi-variable and multivariable analyses (P-value ART increased by one month, the risk of hospitalization decreased by 5.4%, which is statistically significant (P hospitalized increased by 35.2% (P = 0.002). Of the individual opportunistic infections, pneumonia was found to be the only predictor of hospitalization (P-value = 0.002). This study showed that nearly two-third of the hospitalization was within 6 months of initiation of ART; and presence of OI and duration on ART were the only predictors of hospitalization.

Serum Gamma-Glutamyl-Transferase Independently Predicts Outcome After Transarterial Chemoembolization of Hepatocellular Carcinoma: External Validation

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Guiu, Boris, E-mail: boris.guiu@chu-dijon.fr; Deschamps, Frederic [Institut Gustave Roussy, Department of Interventional Radiology (France); Boulin, Mathieu [University Hospital, INSERM U866 (France); Boige, Valerie; Malka, David; Ducreux, Michel [Institut Gustave Roussy, Department of Digestive Oncology (France); Hillon, Patrick [University Hospital, INSERM U866 (France); Baere, Thierry de [Institut Gustave Roussy, Department of Interventional Radiology (France)

2012-10-15

Purpose: An Asian study showed that gamma glutamyl transpeptidase (GGT) can predict survival after transarterial chemoembolization (TACE) of hepatocellular carcinoma (HCC). This study was designed to validate in a European population this biomarker as an independent predictor of outcome after TACE of HCC and to determine a threshold value for clinical use. Methods: In 88 consecutive patients treated by TACE for HCC, the optimal threshold for GGT serum level was determined by a ROC analysis. Endpoints were time-to-treatment failure (TTTF) and overall survival (OS). All multivariate models were internally validated using bootstrapping (90 replications). Results: Median follow-up lasted 373 days, and median overall survival was 748 days. The optimal threshold for GGT was 165 U/L (sensitivity: 89.3%; specificity: 56.7%; area under the ROC curve: 0.7515). Median TTTF was shorter when GGT was {>=}165 U/L (281 days vs. 850 days; P < 0.001). GGT {>=}165 U/L (hazard ratio (HR) = 2.06; P = 0.02), WHO PS of 2 (HR = 5.4; P = 0.002), and tumor size (HR = 1.12; P = 0.014) were independently associated with shorter TTTF. Median OS was shorter when GGT was {>=}165 U/L (508 days vs. not reached; P < 0.001). GGT {>=} 165 U/L (HR = 3.05; P = 0.029), WHO PS of 2 (HR = 12.95; P < 0.001), alfa-fetoprotein (HR = 2.9; P = 0.01), and tumor size (HR = 1.096; P = 0.013) were independently associated with shorter OS. The results were confirmed by bootstrapping. Conclusions: Our results provide in a European population the external validation of GGT as an independent predictor of outcome after TACE of HCC. A serum level of GGT {>=} 165 U/L is independently associated with both shorter TTTF and OS.

Serum Gamma-Glutamyl-Transferase Independently Predicts Outcome After Transarterial Chemoembolization of Hepatocellular Carcinoma: External Validation

International Nuclear Information System (INIS)

Guiu, Boris; Deschamps, Frédéric; Boulin, Mathieu; Boige, Valérie; Malka, David; Ducreux, Michel; Hillon, Patrick; Baère, Thierry de

2012-01-01

Purpose: An Asian study showed that gamma glutamyl transpeptidase (GGT) can predict survival after transarterial chemoembolization (TACE) of hepatocellular carcinoma (HCC). This study was designed to validate in a European population this biomarker as an independent predictor of outcome after TACE of HCC and to determine a threshold value for clinical use. Methods: In 88 consecutive patients treated by TACE for HCC, the optimal threshold for GGT serum level was determined by a ROC analysis. Endpoints were time-to-treatment failure (TTTF) and overall survival (OS). All multivariate models were internally validated using bootstrapping (90 replications). Results: Median follow-up lasted 373 days, and median overall survival was 748 days. The optimal threshold for GGT was 165 U/L (sensitivity: 89.3%; specificity: 56.7%; area under the ROC curve: 0.7515). Median TTTF was shorter when GGT was ≥165 U/L (281 days vs. 850 days; P < 0.001). GGT ≥165 U/L (hazard ratio (HR) = 2.06; P = 0.02), WHO PS of 2 (HR = 5.4; P = 0.002), and tumor size (HR = 1.12; P = 0.014) were independently associated with shorter TTTF. Median OS was shorter when GGT was ≥165 U/L (508 days vs. not reached; P < 0.001). GGT ≥ 165 U/L (HR = 3.05; P = 0.029), WHO PS of 2 (HR = 12.95; P < 0.001), alfa-fetoprotein (HR = 2.9; P = 0.01), and tumor size (HR = 1.096; P = 0.013) were independently associated with shorter OS. The results were confirmed by bootstrapping. Conclusions: Our results provide in a European population the external validation of GGT as an independent predictor of outcome after TACE of HCC. A serum level of GGT ≥ 165 U/L is independently associated with both shorter TTTF and OS.

Improving the precision of lake ecosystem metabolism estimates by identifying predictors of model uncertainty

Science.gov (United States)

Rose, Kevin C.; Winslow, Luke A.; Read, Jordan S.; Read, Emily K.; Solomon, Christopher T.; Adrian, Rita; Hanson, Paul C.

2014-01-01

Diel changes in dissolved oxygen are often used to estimate gross primary production (GPP) and ecosystem respiration (ER) in aquatic ecosystems. Despite the widespread use of this approach to understand ecosystem metabolism, we are only beginning to understand the degree and underlying causes of uncertainty for metabolism model parameter estimates. Here, we present a novel approach to improve the precision and accuracy of ecosystem metabolism estimates by identifying physical metrics that indicate when metabolism estimates are highly uncertain. Using datasets from seventeen instrumented GLEON (Global Lake Ecological Observatory Network) lakes, we discovered that many physical characteristics correlated with uncertainty, including PAR (photosynthetically active radiation, 400-700 nm), daily variance in Schmidt stability, and wind speed. Low PAR was a consistent predictor of high variance in GPP model parameters, but also corresponded with low ER model parameter variance. We identified a threshold (30% of clear sky PAR) below which GPP parameter variance increased rapidly and was significantly greater in nearly all lakes compared with variance on days with PAR levels above this threshold. The relationship between daily variance in Schmidt stability and GPP model parameter variance depended on trophic status, whereas daily variance in Schmidt stability was consistently positively related to ER model parameter variance. Wind speeds in the range of ~0.8-3 m s–1 were consistent predictors of high variance for both GPP and ER model parameters, with greater uncertainty in eutrophic lakes. Our findings can be used to reduce ecosystem metabolism model parameter uncertainty and identify potential sources of that uncertainty.

True-and-error models violate independence and yet they are testable

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Michael H. Birnbaum

2013-11-01

Full Text Available Birnbaum (2011 criticized tests of transitivity that are based entirely on binary choice proportions. When assumptions of independence and stationarity (iid of choice responses are violated, choice proportions could lead to wrong conclusions. Birnbaum (2012a proposed two statistics (correlation and variance of preference reversals to test iid, using random permutations to simulate p-values. Cha, Choi, Guo, Regenwetter, and Zwilling (2013 defended methods based on marginal proportions but conceded that such methods wrongly diagnose hypothetical examples of Birnbaum (2012a. However, they also claimed that ``true and error'' models also satisfy independence and also fail in such cases unless they become untestable. This article presents correct true-and-error models; it shows how these models violate iid, how they might correctly identify cases that would be misdiagnosed by marginal proportions, and how they can be tested and rejected. This note also refutes other arguments of Cha et al. (2013, including contentions that other tests failed to violate iid ``with flying colors'', that violations of iid ``do not replicate'', that type I errors are not appropriately estimated by the permutation method, and that independence assumptions are not critical to interpretation of marginal choice proportions.

Biological and psychological predictors of posttraumatic stress disorder onset and chronicity. A one-year prospective study

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C. Gandubert

2016-06-01

Conclusions: This prospective study shows that peritraumatic psychological and biological markers are independent predictors of PTSD onset with specificities according to the stage of PTSD development; the psychological diathesis, i.e. peritraumatic distress and dissociation, being a better predictor of short-term dysfunction whereas biological diathesis was also predictive of development and maintenance of PTSD.

Predictors and outcomes of non-adherence in patients receiving maintenance hemodialysis.

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Tohme, Fadi; Mor, Maria K; Pena-Polanco, Julio; Green, Jamie A; Fine, Michael J; Palevsky, Paul M; Weisbord, Steven D

2017-08-01

Predictors of and outcomes associated with non-adherent behavior among patients on chronic hemodialysis (HD) have been incompletely elucidated. We conducted a post hoc analysis of data from the SMILE trial to identify patient factors associated with non-adherence to dialysis-related treatments and the associations of non-adherence with clinical outcomes. We defined non-adherence as missed HD and abbreviated HD. We used negative binomial regression to model the associations of demographic and clinical factors with measures of non-adherence, and negative binomial and Cox regression to analyze the associations of non-adherence with hospitalizations and mortality, respectively. We followed 286 patients for up to 24 months. Factors independently associated with missing HD included Tuesday/Thursday/Saturday HD schedule [incident rate ratio (IRR) 1.85, p adherence to HD-related treatments, and independent associations of non-adherence with hospitalization and mortality. These findings should inform the development and implementation of interventions to improve adherence and reduce health resource utilization.

Mortality predictors of epilepsy and epileptic seizures among hospitalized elderly

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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.

Pre-treatment growth and IGF-I deficiency as main predictors of response to growth hormone therapy in neural models

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Urszula Smyczyn´ska

2018-01-01

Full Text Available Mathematical models have been applied in prediction of growth hormone treatment effectiveness in children since the end of 1990s. Usually they were multiple linear regression models; however, there are also examples derived by empirical non-linear methods. Proposed solution consists in application of machine learning technique – artificial neural networks – to analyse this problem. This new methodology, contrary to previous ones, allows detection of both linear and non-linear dependencies without assuming their character a priori. The aims of this work included: development of models predicting separately growth during 1st year of treatment and final height as well as identification of important predictors and in-depth analysis of their influence on treatment’s effectiveness. The models were derived on the basis of clinical data of 272 patients treated for at least 1 year, 133 of whom have already attained final height. Starting from models containing 17 and 20 potential predictors, respectively for 1st year and final height model, we were able to reduce their number to 9 and 10. Basing on the final models, IGF-I concentration and earlier growth were indicated as belonging to most important predictors of response to GH therapy, while results of GH secretion tests were automatically excluded as insignificant. Moreover, majority of the dependencies were observed to be non-linear, thus using neural networks seems to be reasonable approach despite it being more complex than previously applied methods.

Predictors of adherence to a multifaceted podiatry intervention for the prevention of falls in older people.

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Spink, Martin J; Fotoohabadi, Mohammad R; Wee, Elin; Landorf, Karl B; Hill, Keith D; Lord, Stephen R; Menz, Hylton B

2011-08-26

Despite emerging evidence that foot problems and inappropriate footwear increase the risk of falls, there is little evidence as to whether foot-related intervention strategies can be successfully implemented. The aim of this study was to evaluate adherence rates, barriers to adherence, and the predictors of adherence to a multifaceted podiatry intervention for the prevention of falls in older people. The intervention group (n = 153, mean age 74.2 years) of a randomised trial that investigated the effectiveness of a multifaceted podiatry intervention to prevent falls was assessed for adherence to the three components of the intervention: (i) foot orthoses, (ii) footwear advice and footwear cost subsidy, and (iii) a home-based foot and ankle exercise program. Adherence to each component and the barriers to adherence were documented, and separate discriminant function analyses were undertaken to identify factors that were significantly and independently associated with adherence to the three intervention components. Adherence to the three components of the intervention was as follows: foot orthoses (69%), footwear (54%) and home-based exercise (72%). Discriminant function analyses identified that being younger was the best predictor of orthoses use, higher physical health status and lower fear of falling were independent predictors of footwear adherence, and higher physical health status was the best predictor of exercise adherence. The predictive accuracy of these models was only modest, with 62 to 71% of participants correctly classified. Adherence to a multifaceted podiatry intervention in this trial ranged from 54 to 72%. People with better physical health, less fear of falling and a younger age exhibited greater adherence, suggesting that strategies need to be developed to enhance adherence in frailer older people who are most at risk of falling. Australian New Zealand Clinical Trials Registry ACTRN12608000065392.

Predictors of Success after Extracorporeal Shock Wave Lithotripsy (ESWL for Renal Calculi Between 20—30 mm: A Multivariate Analysis Model

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Ahmed El-Assmy

2006-01-01

Full Text Available The first-line management of renal stones between 20—30 mm remains controversial. The Extracorporeal Shock Wave Lithotripsy (ESWL stone-free rates for such patient groups vary widely. The purpose of this study was to define factors that have a significant impact on the stone-free rate after ESWL in such controversial groups. Between January 1990 and January 2004, 594 patients with renal stones 20—30 mm in length underwent ESWL monotherapy. Stone surface area was measured for all stones. The results of treatment were evaluated after 3 months of follow-up. The stone-free rate was correlated with stone and patient characteristics using the Chi-square test; factors found to be significant were further analyzed using multivariate analysis.Repeat ESWL was needed in 56.9% of cases. Post-ESWL complications occurred in 5% of cases and post-ESWL secondary procedures were required in 5.9%. At 3-month follow-up, the overall stone-free rate was 77.2%. Using the Chi-square test, stone surface area, location, number, radiological renal picture, and congenital renal anomalies had a significant impact on the stone-free rate. Multivariate analysis excluded radiological renal picture from the logistic regression model while other factors maintained their statistically significant effect on success rate, indicating that they were independent predictors. A regression analysis model was designed to estimate the probability of stone-free status after ESWL. The sensitivity of the model was 97.4%, the specificity 90%, and the overall accuracy 95.6%.Stone surface area, location, number, and congenital renal anomalies are prognostic predictors determining stone clearance after ESWL of renal calculi of 20—30 mm. High probability of stone clearance is obtained with single stone ≤400 mm2 located in renal pelvis with no congenital anomalies. Our regression model can predict the probability of the success of ESWL in such controversial groups and can define patients who

Time-independent models of asset returns revisited

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Gillemot, L.; Töyli, J.; Kertesz, J.; Kaski, K.

2000-07-01

In this study we investigate various well-known time-independent models of asset returns being simple normal distribution, Student t-distribution, Lévy, truncated Lévy, general stable distribution, mixed diffusion jump, and compound normal distribution. For this we use Standard and Poor's 500 index data of the New York Stock Exchange, Helsinki Stock Exchange index data describing a small volatile market, and artificial data. The results indicate that all models, excluding the simple normal distribution, are, at least, quite reasonable descriptions of the data. Furthermore, the use of differences instead of logarithmic returns tends to make the data looking visually more Lévy-type distributed than it is. This phenomenon is especially evident in the artificial data that has been generated by an inflated random walk process.

High-Order Sparse Linear Predictors for Audio Processing

DEFF Research Database (Denmark)

Giacobello, Daniele; van Waterschoot, Toon; Christensen, Mads Græsbøll

2010-01-01

Linear prediction has generally failed to make a breakthrough in audio processing, as it has done in speech processing. This is mostly due to its poor modeling performance, since an audio signal is usually an ensemble of different sources. Nevertheless, linear prediction comes with a whole set...... of interesting features that make the idea of using it in audio processing not far fetched, e.g., the strong ability of modeling the spectral peaks that play a dominant role in perception. In this paper, we provide some preliminary conjectures and experiments on the use of high-order sparse linear predictors...... in audio processing. These predictors, successfully implemented in modeling the short-term and long-term redundancies present in speech signals, will be used to model tonal audio signals, both monophonic and polyphonic. We will show how the sparse predictors are able to model efficiently the different...

Posterior white matter disease distribution as a predictor of amyloid angiopathy

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Thanprasertsuk, Sekh; Martinez-Ramirez, Sergi; Pontes-Neto, Octavio Marques; Ni, Jun; Ayres, Alison; Reed, Anne; Swords, Kyleen; Gurol, M. Edip; Greenberg, Steven M.

2014-01-01

Objectives: We sought to examine whether a posterior distribution of white matter hyperintensities (WMH) is an independent predictor of pathologically confirmed cerebral amyloid angiopathy (CAA) and whether it is associated with MRI markers of CAA, in patients without lobar intracerebral hemorrhage. Methods: We developed a quantitative method to measure anteroposterior (AP) distribution of WMH. A retrospective cohort of patients without intracerebral hemorrhage and with pathologic evaluation of CAA was examined to determine whether posterior WMH distribution was an independent predictor of CAA (n = 59). The relationship of AP distributions of WMH to strictly lobar microbleeds (MBs) (n = 259) and location of dilated perivascular spaces (DPVS) (n = 85) was examined in a separate cohort of patients evaluated in a memory clinic. Results: A more posterior WMH distribution was found to be an independent predictor of pathologic evidence of CAA (p = 0.001, odds ratio [95% confidence interval] = 1.19 [1.07–1.32]), even in the subgroup without lobar MBs (p = 0.016, odds ratio [95% confidence interval] = 1.18 [1.03–1.36]). In the memory clinic cohort, strictly lobar MBs were independently associated with more posterior WMH distribution (p = 0.009). AP distribution of WMH was also associated with location of DPVS (p = 0.001), in that patients with predominant DPVS in the white matter over the basal ganglia harbored a more posterior WMH distribution. Conclusions: Our results suggest that AP distribution of WMH may represent an additional marker of CAA, irrespective of the presence of lobar hemorrhages. Classification of evidence: This study provides Class III evidence that there is a significant association between the AP distribution of WMH on MRI with the presence of pathologically confirmed CAA pathology. PMID:25063759

Plasma levels of soluble CD14 independently predict mortality in HIV infection

DEFF Research Database (Denmark)

Sandler, Netanya G; Wand, Handan; Roque, Annelys

2011-01-01

Chronic human immunodeficiency virus (HIV) infection is associated with intestinal permeability and microbial translocation that contributes to systemic immune activation, which is an independent predictor of HIV disease progression. The association of microbial translocation with clinical outcom...

Analysis of the Modified Smith Predictor

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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. 

Adult body height is a good predictor of different dimensions of cognitive function in aged individuals

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Vitor Hugo Pereira

2016-09-01

Full Text Available Background: Adult height, weight and adiposity measures have been suggested by some studies to be predictors of depression, cognitive impairment and dementia. However, the presence of confounding factors and the lack of a thorough neuropsychological evaluation in many of these studies have precluded a definitive conclusion about the influence of anthropometric measures in cognition and depression. In this study we aim to assess the value of adult height and weight to predict cognitive impairment and depressive symptoms in aged individuals.Methods and Findings: Cross-sectional study performed between 2010 and 2012 in the Portuguese general community. A total of 1050 participants were included in the study and randomly selected from local area health authority registries. The cohort was representative of the general Portuguese population with respect to age (above 50 years of age and gender. Cognitive function was assessed using a battery of tests grouped in two dimensions: general executive function and memory. Two-step hierarchical multiple linear regression models were conducted to determine the predictive value of anthropometric measures in cognitive performance and mood before and after correction for possible confounding factors (gender, age, school years, physical activity, alcohol consumption and smoking habits. We found single associations of weight, height, body mass index, abdominal perimeter and age with executive function, memory and depressive symptoms. However, when included in a predictive model adjusted for gender, age, school years and lifestyle factors only height prevailed as a significant predictor of general executive function (β=0,139; p<0,001 and memory (β=0,099; p<0,05. No relation was found between mood and any of the anthropometric measures studied.Conclusions and Relevance: Height is an independent predictor of cognitive function in late-life and its effects on the general and executive function and memory are

Uncertainties of statistical downscaling from predictor selection: Equifinality and transferability

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Fu, Guobin; Charles, Stephen P.; Chiew, Francis H. S.; Ekström, Marie; Potter, Nick J.

2018-05-01

The nonhomogeneous hidden Markov model (NHMM) statistical downscaling model, 38 catchments in southeast Australia and 19 general circulation models (GCMs) were used in this study to demonstrate statistical downscaling uncertainties caused by equifinality to and transferability. That is to say, there could be multiple sets of predictors that give similar daily rainfall simulation results for both calibration and validation periods, but project different amounts (or even directions of change) of rainfall changing in the future. Results indicated that two sets of predictors (Set 1 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and specific humidity at 700 hPa and Set 2 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and dewpoint temperature depression at 850 hPa) as inputs to the NHMM produced satisfactory results of seasonal rainfall in comparison with observations. For example, during the model calibration period, the relative errors across the 38 catchments ranged from 0.48 to 1.76% with a mean value of 1.09% for the predictor Set 1, and from 0.22 to 2.24% with a mean value of 1.16% for the predictor Set 2. However, the changes of future rainfall from NHMM projections based on 19 GCMs produced projections with a different sign for these two different sets of predictors: Set 1 predictors project an increase of future rainfall with magnitudes depending on future time periods and emission scenarios, but Set 2 predictors project a decline of future rainfall. Such divergent projections may present a significant challenge for applications of statistical downscaling as well as climate change impact studies, and could potentially imply caveats in many existing studies in the literature.

Predictors of pneumonia in acute stroke in patients in an emergency unit

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Sara R. M. Almeida

2015-05-01

Full Text Available Objective To evaluate the risk factors and comorbid conditions associated with the development of pneumonia in patients with acute stroke. To determine the independent predictors of pneumonia. Method Retrospective study from July to December 2011. We reviewed all medical charts with diagnosis of stroke. Results 159 patients (18-90 years were admitted. Prevalence of pneumonia was 32%. Pneumonia was more frequent in patients with hemorrhagic stroke (OR: 4.36; 95%CI: 1.9-10.01, p < 0.001, higher National Institute of Health Stroke Scale (NIHSS (p = 0.047 and, lower Glasgow Coma Score (GCS (p < 0.0001. Patients with pneumonia had longer hospitalization (p < 0.0001. Multivariable logistic regression analysis identified NIHSS as an independent predictor of pneumonia (95%CI: 1.049-1.246, p = 0.002. Conclusion Pneumonia was associated with severity and type of stroke and length of hospital stay. The severity of the deficit as evaluated by the NIHSS was shown to be the only independent risk factor for pneumonia in acute stroke patients.

Self-efficacy and Resilience Are Useful Predictors of Transition Readiness Scores in Adolescents with Inflammatory Bowel Diseases

DEFF Research Database (Denmark)

Carlsen, Katrine; Haddad, Nichola; Gordon, Julia

2017-01-01

BACKGROUND: Adolescence is a vulnerable period for those afflicted with inflammatory bowel disease (IBD). There is limited knowledge of factors influencing transition readiness in this population. We sought to determine whether self-efficacy and resilience would be informative predictors of trans......BACKGROUND: Adolescence is a vulnerable period for those afflicted with inflammatory bowel disease (IBD). There is limited knowledge of factors influencing transition readiness in this population. We sought to determine whether self-efficacy and resilience would be informative predictors......-Davidson Resilience Scale. Demographic data and disease-specific information were collected from the medical record and by the provider. General linear modeling and autocorrelation were performed to investigate predictors of transition readiness. RESULTS: Eighty-seven patients (62 Crohn's disease and 25 ulcerative...... colitis) were included, with a median age of 19 years (interquartile range 1-3: 17-20; min-max: 16-23). After controlling for age, the IBD-SES-A predicted TRAQ [F(1) = 11.69, R = 0.16, P = 0.001], accounting for 16% of the variance. The Connor-Davidson Resilience Scale also independently predicted TRAQ...

Distributed Large Independent Sets in One Round On Bounded-independence Graphs

OpenAIRE

Halldorsson , Magnus M.; Konrad , Christian

2015-01-01

International audience; We present a randomized one-round, single-bit messages, distributed algorithm for the maximum independent set problem in polynomially bounded-independence graphs with poly-logarithmic approximation factor. Bounded-independence graphs capture various models of wireless networks such as the unit disc graphs model and the quasi unit disc graphs model. For instance, on unit disc graphs, our achieved approximation ratio is O((log(n)/log(log(n)))^2).A starting point of our w...

Model- and calibration-independent test of cosmic acceleration

International Nuclear Information System (INIS)

Seikel, Marina; Schwarz, Dominik J.

2009-01-01

We present a calibration-independent test of the accelerated expansion of the universe using supernova type Ia data. The test is also model-independent in the sense that no assumptions about the content of the universe or about the parameterization of the deceleration parameter are made and that it does not assume any dynamical equations of motion. Yet, the test assumes the universe and the distribution of supernovae to be statistically homogeneous and isotropic. A significant reduction of systematic effects, as compared to our previous, calibration-dependent test, is achieved. Accelerated expansion is detected at significant level (4.3σ in the 2007 Gold sample, 7.2σ in the 2008 Union sample) if the universe is spatially flat. This result depends, however, crucially on supernovae with a redshift smaller than 0.1, for which the assumption of statistical isotropy and homogeneity is less well established

Urinary albumin excretion. An independent predictor of ischemic heart disease

DEFF Research Database (Denmark)

Borch-Johnsen, K; Feldt-Rasmussen, B; Strandgaard, S

1999-01-01

Cross-sectional studies suggest that an increased urinary albumin excretion rate is associated with cardiovascular disease, dyslipidemia, and hypertension. The purpose of this study was to analyze prospectively whether the urinary albumin-to -creatinine (A/C) ratio can independently predict...... ischemic heart disease (IHD) in a population-based cohort. In 1983, urinary albumin and creatinine levels were measured, along with the conventional atherosclerotic risk factors, in 2085 consecutive participants without IHD, renal disease, urinary tract infection, or diabetes mellitus. The participants...

Value of the distant future: Model-independent results

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Katz, Yuri A.

2017-01-01

This paper shows that the model-independent account of correlations in an interest rate process or a log-consumption growth process leads to declining long-term tails of discount curves. Under the assumption of an exponentially decaying memory in fluctuations of risk-free real interest rates, I derive the analytical expression for an apt value of the long run discount factor and provide a detailed comparison of the obtained result with the outcome of the benchmark risk-free interest rate models. Utilizing the standard consumption-based model with an isoelastic power utility of the representative economic agent, I derive the non-Markovian generalization of the Ramsey discounting formula. Obtained analytical results allowing simple calibration, may augment the rigorous cost-benefit and regulatory impact analysis of long-term environmental and infrastructure projects.

Rate-independent dissipation in phase-field modelling of displacive transformations

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Tůma, K.; Stupkiewicz, S.; Petryk, H.

2018-05-01

In this paper, rate-independent dissipation is introduced into the phase-field framework for modelling of displacive transformations, such as martensitic phase transformation and twinning. The finite-strain phase-field model developed recently by the present authors is here extended beyond the limitations of purely viscous dissipation. The variational formulation, in which the evolution problem is formulated as a constrained minimization problem for a global rate-potential, is enhanced by including a mixed-type dissipation potential that combines viscous and rate-independent contributions. Effective computational treatment of the resulting incremental problem of non-smooth optimization is developed by employing the augmented Lagrangian method. It is demonstrated that a single Lagrange multiplier field suffices to handle the dissipation potential vertex and simultaneously to enforce physical constraints on the order parameter. In this way, the initially non-smooth problem of evolution is converted into a smooth stationarity problem. The model is implemented in a finite-element code and applied to solve two- and three-dimensional boundary value problems representative for shape memory alloys.

A Capacity-Restraint Transit Assignment Model When a Predetermination Method Indicates the Invalidity of Time Independence

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Haoyang Ding

2015-01-01

Full Text Available The statistical independence of time of every two adjacent bus links plays a crucial role in deciding the feasibility of using many mathematical models to analyze urban transit networks. Traditional research generally ignores the time independence that acts as the ground of their models. Assumption is usually made that time independence of every two adjacent links is sound. This is, however, actually groundless and probably causes problematic conclusions reached by corresponding models. Many transit assignment models such as multinomial probit-based models lose their effects when the time independence is not valid. In this paper, a simple method to predetermine the time independence is proposed. Based on the predetermination method, a modified capacity-restraint transit assignment method aimed at engineering practice is put forward and tested through a small contrived network and a case study in Nanjing city, China, respectively. It is found that the slope of regression equation between the mean and standard deviation of normal distribution acts as the indicator of time independence at the same time. Besides, our modified assignment method performs better than the traditional one with more reasonable results while keeping the property of simplicity well.

Predictors for health improvement in patients with fibromyalgia: a 2-year follow-up study.

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van Eijk-Hustings, Yvonne; Kroese, Mariëlle; Boonen, Annelies; Bessems-Beks, Monique; Landewé, Robert

2015-01-01

Fibromyalgia (FM) has a high impact on all aspects of health. The effect from interventions is usually small and characterized by uncertainty. Better insight in predictors for improved health is essential. The present study aimed to understand predictors for patient global impression of change and changes in overall health. Data from a longitudinal cohort of recently diagnosed FM patients (n = 203) were used. Within this cohort, patients were pre-randomized to either a multidisciplinary (n = 108) or an, aerobic exercise (n = 47) program, or usual care (n = 48). Only a limited number of patients started with the programs (n = 86) or participated fully, i.e., attended >70 % of the scheduled sessions (n = 68). Patients completed questionnaires covering all components of the International Classification of Functioning, Disability and Health (ICF) bio-psycho-social model of health, which was used as a framework to structure potential predictors. Principal component analysis was used to reduce the number of potential predictors. Regression analyses were used to explore associations with the outcome variables. Principal component analysis yielded five factors representing areas that covered different ICF components and chapters. "Being employed" and "full participation in a program" were independently associated with a better global impression of change. A longer duration of FM-related symptoms and more limitations in physical areas of body functions were independently associated with a worse impression of overall health. Higher levels of perceived limitations in physical and mental activities were associated with "starting to participate in a program" and with "full participation in a program." Recently diagnosed FM patients that report fewer physical limitations may experience more improvement in health if they are at work and have a positive attitude towards participating in an offered health-care intervention. These findings give support to an

Predictors of Inappropriate Use of Diagnostic Tests and Management of Bronchiolitis

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Sarmiento, Lorena; Rojas-Soto, Gladys E.

2017-01-01

Background The aim of the present study was to determine predictors of inappropriate use of diagnostic tests and management of bronchiolitis in a population of hospitalized infants. Methods In an analytical cross-sectional study, we determined independent predictors of the inappropriate use of diagnostic tests and management of bronchiolitis in a population of hospitalized infants. We defined a composite outcome score as the main outcome variable. Results Of the 303 included patients, 216 (71.3%) experienced an inappropriate use of diagnostic tests and treatment of bronchiolitis. After controlling for potential confounders, it was found that atopic dermatitis (OR 5.30; CI 95% 1.14–24.79; p = 0.034), length of hospital stay (OR 1.48; CI 95% 1.08–2.03; p = 0.015), and the number of siblings (OR 1.92; CI 95% 1.13–3.26; p = 0.015) were independent predictors of an inappropriate use of diagnostic tests and treatment of the disease. Conclusions Inappropriate use of diagnostic tests and treatment of bronchiolitis was a highly prevalent outcome in our population of study. Participants with atopic dermatitis, a longer hospital stay, and a greater number of siblings were at increased risk for inappropriate use of diagnostic tests and management of the disease. PMID:28758127

Spot sign as a predictor of rebleeding after endoscopic surgery for intracerebral hemorrhage.

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Miki, Koichi; Yagi, Kenji; Nonaka, Masani; Iwaasa, Mitsutoshi; Abe, Hiroshi; Morishita, Takashi; Arima, Hisatomi; Inoue, Tooru

2018-05-25

OBJECTIVE In patients with spontaneous intracerebral hemorrhage (sICH), postoperative recurrent hemorrhage (PRH) is one of the most severe complications after endoscopic evacuation of hematoma (EEH). However, no predictors of this complication have been identified. In the present study, the authors retrospectively investigated whether PRH can be preoperatively predicted by the presence of the spot sign on CT scans. METHODS In total, 143 patients with sICH were treated by EEH between June 2009 and March 2017, and 127 patients who underwent preoperative CT angiography were included in this study. Significant correlations of PRH with the patients' baseline, clinical, and radiographic characteristics, including the spot sign, were evaluated using multivariable logistic regression models. RESULTS The incidence of and risk factors for PRH were assessed in 127 patients with available data. PRH occurred in 9 (7.1%) patients. Five (21.7%) cases of PRH were observed among 23 patients with the spot sign, whereas only 4 (3.8%) cases of PRH occurred among 104 patients without the spot sign. The spot sign was the only independent predictor of PRH (OR 5.81, 95% CI 1.26-26.88; p = 0.02). The following factors were not independently associated with PRH: age, hypertension, poor consciousness, antihemostatic factors (thrombocytopenia, coagulopathy, and use of antithrombotic drugs), the location and size of the sICH, other radiographic findings (black hole sign and blend sign), surgical duration and procedures, and early surgery. CONCLUSIONS The spot sign is likely to be a strong predictor of PRH after EEH among patients with sICH. Complete and careful control of bleeding in the operative field should be ensured when surgically treating such patients. New surgical strategies and procedures might be needed to improve these patients' outcomes.

Incidence and predictors of permanent pacemaker implantation following treatment with the repositionable Lotus™ transcatheter aortic valve.

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Zaman, Sarah; McCormick, Liam; Gooley, Robert; Rashid, Hashrul; Ramkumar, Satish; Jackson, Damon; Hui, Samuel; Meredith, Ian T

2017-07-01

To determine the incidence and predictors of permanent pacemaker (PPM) requirement following transcatheter aortic valve replacement (TAVR) with the mechanically expanded Lotus TM Valve System (Boston Scientific). Pacemaker implantation is the most common complication following TAVR. Predictors of pacing following TAVR with the Lotus valve have not been systematically assessed. Consecutive patients with severe aortic stenosis who underwent Lotus valve implantation were prospectively recruited at a single-centre. Patients with a pre-existing PPM were excluded. Baseline ECG, echocardiographic and multiple detector computed tomography as well as procedural telemetry and depth of implantation were independently analyzed in a blinded manner. The primary endpoint was 30-day incidence of pacemaker requirement (PPM implantation or death while pacing-dependent). Multivariate analysis was performed to identify independent predictors of the primary endpoint. A total of 104 consecutive patients underwent TAVR with the Lotus valve with 9/104 (9%) with a pre-existing PPM excluded. New or worsened procedural LBBB occurred in 78%. Thirty-day incidence of the primary pacing endpoint was 28%. The most common indication for PPM implantation was complete heart block (CHB) (69%). Independent predictors of the primary endpoint included pre-existing RBBB (hazard ratio [HR] 2.8, 95% CI 1.1-7.0; P = 0.032) and depth of implantation below the noncoronary cusp (NCC) (HR 2.4, 95% CI 1.0-5.7; P = 0.045). Almost a third of Lotus valve recipients require pacemaker implantation within 30 days. The presence of pre-existing RBBB and the depth of prosthesis implantation below the NCC were significant pacing predictors. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Predictors of anxiety and depression in Egyptian thalassemic patients: a single center study.

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Yahia, Sohier; El-Hadidy, Mohamed Adel; El-Gilany, Abdel-Hady; Anwar, Rokiah; Darwish, Ahmad; Mansour, A K

2013-05-01

Thalassemic patients are vulnerable to emotional and behavioral problems. Each patient age group exhibits problems unique to that stage of development, and although up to 80 % of thalassemic patients are likely to have psychological disorders, e.g., anxiety and depression, predictors of these disorders remain poorly understood. The present study was designed to assess the prevalence of anxiety and depression in a sample of Egyptian thalassemic patients and to identify predictors of these psychiatric disorders. A case-control study was conducted in 218 thalassemic patients, with 244 healthy subjects as a control. All patients and control subjects were subjected to thorough evaluation of medical history and clinical examination, and examined by a psychiatrist using the clinician version of the structured clinical interview for DSM-IV (SCID-CV), hospital anxiety and depression scale and Coopersmith self-esteem inventory. Abnormal and borderline anxieties were reported by 36.7 and 20.6 % of thalassemic patients, respectively, while abnormal and borderline depressions were reported by 32.1 and 16.1 % of patients, respectively. Hospitalization, low self-esteem, diabetes mellitus and heart failure were independent predictors of anxiety. The independent predictors of depression were heart failure, hospitalization, diabetes mellitus, short stature and delayed puberty. Thalassemic patients were more vulnerable to anxiety and depression, indicating that screening and management for such psychiatric disorders should be considered in treating all such patients.

Application of Interval Predictor Models to Space Radiation Shielding

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Crespo, Luis G.; Kenny, Sean P.; Giesy,Daniel P.; Norman, Ryan B.; Blattnig, Steve R.

2016-01-01

This paper develops techniques for predicting the uncertainty range of an output variable given input-output data. These models are called Interval Predictor Models (IPM) because they yield an interval valued function of the input. This paper develops IPMs having a radial basis structure. This structure enables the formal description of (i) the uncertainty in the models parameters, (ii) the predicted output interval, and (iii) the probability that a future observation would fall in such an interval. In contrast to other metamodeling techniques, this probabilistic certi cate of correctness does not require making any assumptions on the structure of the mechanism from which data are drawn. Optimization-based strategies for calculating IPMs having minimal spread while containing all the data are developed. Constraints for bounding the minimum interval spread over the continuum of inputs, regulating the IPMs variation/oscillation, and centering its spread about a target point, are used to prevent data over tting. Furthermore, we develop an approach for using expert opinion during extrapolation. This metamodeling technique is illustrated using a radiation shielding application for space exploration. In this application, we use IPMs to describe the error incurred in predicting the ux of particles resulting from the interaction between a high-energy incident beam and a target.

Gender differences in predictors of self-rated health in Armenia: a population-based study of an economy in transition.

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Demirchyan, Anahit; Petrosyan, Varduhi; Thompson, Michael E

2012-11-14

Self-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy. Differences in self-rated health were analyzed along three dimensions: socioeconomic, behavioral/attitudinal, and psychosocial. The study utilized data from a 2006 nationwide household health survey that used a multi-stage probability proportional to size cluster sampling with a combination of interviewer-administered and self-administered surveys. Both female and male representatives of a household aged 18 and over completed the self-administered survey. Multivariate odds ratios (OR) for fair/poor self-rated health were calculated for different sets of variables and logistic regression models fitted separately for women and men to identify the determinants of fair/poor self-rated health. Overall, 2310 women and 462 men participated in the survey. The rate of fair/poor self-rated health was 61.8% among women and 59.7% among men. For women, the set of independent predictors of fair/poor self-rated health included age, unemployment, poverty, low affordability of healthcare, depression, and weak social support. For men, the set included age, lower education, depression, weak social support, and drinking alcohol less than once a week. For both genders, depression and weak social support demonstrated the strongest independent association with fair/poor self-rated health. The prevalence of fair/poor self-rated health was similar among men and women in this study, but the sets of independent predictors of perceived health differed somewhat, possibly, reflecting lifestyle differences between men and women in Armenia. Nevertheless, psychosocial variables were the strongest predictors of fair/poor self-rated health for both genders

Gender differences in predictors of self-rated health in Armenia: a population-based study of an economy in transition

Directory of Open Access Journals (Sweden)

Demirchyan Anahit

2012-11-01

Full Text Available Abstract Introduction Self-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy. Methods Differences in self-rated health were analyzed along three dimensions: socioeconomic, behavioral/attitudinal, and psychosocial. The study utilized data from a 2006 nationwide household health survey that used a multi-stage probability proportional to size cluster sampling with a combination of interviewer-administered and self-administered surveys. Both female and male representatives of a household aged 18 and over completed the self-administered survey. Multivariate odds ratios (OR for fair/poor self-rated health were calculated for different sets of variables and logistic regression models fitted separately for women and men to identify the determinants of fair/poor self-rated health. Results Overall, 2310 women and 462 men participated in the survey. The rate of fair/poor self-rated health was 61.8% among women and 59.7% among men. For women, the set of independent predictors of fair/poor self-rated health included age, unemployment, poverty, low affordability of healthcare, depression, and weak social support. For men, the set included age, lower education, depression, weak social support, and drinking alcohol less than once a week. For both genders, depression and weak social support demonstrated the strongest independent association with fair/poor self-rated health. Conclusions The prevalence of fair/poor self-rated health was similar among men and women in this study, but the sets of independent predictors of perceived health differed somewhat, possibly, reflecting lifestyle differences between men and women in Armenia. Nevertheless, psychosocial variables were the

Radiative decay of mesons in an independent-quark potential model

International Nuclear Information System (INIS)

Barik, N.; Dash, P.C.; Panda, A.R.

1992-01-01

We investigate in a potential model of independent quarks the M1 transitions among the low-lying vector (V) and pseudoscalar (P) mesons. We perform a ''static'' calculation of the partial decay widths of twelve possible M1 transitions such as V→Pγ and P→Vγ within the traditional picture of photon emission by a confined quark and/or antiquark. The model accounts well for the observed decay widths

Aggregate risk score based on markers of inflammation, cell stress, and coagulation is an independent predictor of adverse cardiovascular outcomes.

Science.gov (United States)

Eapen, Danny J; Manocha, Pankaj; Patel, Riyaz S; Hammadah, Muhammad; Veledar, Emir; Wassel, Christina; Nanjundappa, Ravi A; Sikora, Sergey; Malayter, Dylan; Wilson, Peter W F; Sperling, Laurence; Quyyumi, Arshed A; Epstein, Stephen E

2013-07-23

This study sought to determine an aggregate, pathway-specific risk score for enhanced prediction of death and myocardial infarction (MI). Activation of inflammatory, coagulation, and cellular stress pathways contribute to atherosclerotic plaque rupture. We hypothesized that an aggregate risk score comprised of biomarkers involved in these different pathways-high-sensitivity C-reactive protein (CRP), fibrin degradation products (FDP), and heat shock protein 70 (HSP70) levels-would be a powerful predictor of death and MI. Serum levels of CRP, FDP, and HSP70 were measured in 3,415 consecutive patients with suspected or confirmed coronary artery disease (CAD) undergoing cardiac catheterization. Survival analyses were performed with models adjusted for established risk factors. Median follow-up was 2.3 years. Hazard ratios (HRs) for all-cause death and MI based on cutpoints were as follows: CRP ≥3.0 mg/l, HR: 1.61; HSP70 >0.625 ng/ml, HR; 2.26; and FDP ≥1.0 μg/ml, HR: 1.62 (p statistic and net reclassification improved (p < 0.0001) with the addition of the biomarker score. An aggregate score based on serum levels of CRP, FDP, and HSP70 is a predictor of future risk of death and MI in patients with suspected or known CAD. Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Non-leisure time physical activity is an independent predictor of longevity for a Taiwanese elderly population: an eight-year follow-up study.

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Lin, Yu-Pei; Huang, Ying-Hsiang; Lu, Feng-Hwa; Wu, Jin-Shang; Chang, Chih-Jen; Yang, Yi-Ching

2011-06-03

The aim of this study is to determine the relationship between leisure time physical activity (LTPA) and non-leisure time physical activity (NLTPA) on mortality among the elderly in Taiwan. This is a prospective observational cohort study. We analyzed the mortality data from a cohort of 876 non-institutionalized community-dwelling men and women aged 65 years or over, who were recruited by stratified clustering random sampling from Tainan city and participated in the 1996 Elderly Medication Survey. Information about activities and other variables were collected by structured interviews at baseline in the participants' home. The Cox proportional hazards model and crude death rate were applied to estimate mortality risk. Among the 876 participants, 312 died during the follow-up period (1996-2004). In the unadjusted Cox regression model, subjects aged over 75, having difficulty in carrying out activities of daily living (ADLs), a BMI less than 18.5, a history of diabetes mellitus or stroke, without LTPA or being inactive in NLTPA, were found to have a higher risk of eight-year mortality. With the adjustment for age, gender, education level, habitual smoking and drinking, living status, BMI and medical history, the mortality was found to be higher among the sedentary subjects, either defined by lack of LTPA or NLTPA, with the hazard ratio of 1.27 (95% confidence interval [CI] = 0.97-1.66) and 1.45 (95% CI = 1.07-1.97), respectively. Furthermore, when both LTPA and NLTPA were put into the model simultaneously, NLTPA (HR = 1.40; 95% CI = 1.03-1.91) but not LTPA (HR = 1.21, 95% CI = 0.92-1.59) significantly predicted mortality during eight-year follow-up. In addition, subjects who were actively engaged in NLTPA had a lower mortality risk especially in subjects without performing LTPA. NLTPA is an independent predictor of longevity among older people in Taiwan. A physically active lifestyle, especially engaged in NLTPA, is associated with lower mortality risk in the elderly

Non-leisure time physical activity is an independent predictor of longevity for a Taiwanese elderly population: an eight-year follow-up study

Directory of Open Access Journals (Sweden)

Wu Jin-Shang

2011-06-01

Full Text Available Abstract Background The aim of this study is to determine the relationship between leisure time physical activity (LTPA and non-leisure time physical activity (NLTPA on mortality among the elderly in Taiwan. Methods This is a prospective observational cohort study. We analyzed the mortality data from a cohort of 876 non-institutionalized community-dwelling men and women aged 65 years or over, who were recruited by stratified clustering random sampling from Tainan city and participated in the 1996 Elderly Medication Survey. Information about activities and other variables were collected by structured interviews at baseline in the participants' home. The Cox proportional hazards model and crude death rate were applied to estimate mortality risk. Results Among the 876 participants, 312 died during the follow-up period (1996-2004. In the unadjusted Cox regression model, subjects aged over 75, having difficulty in carrying out activities of daily living (ADLs, a BMI less than 18.5, a history of diabetes mellitus or stroke, without LTPA or being inactive in NLTPA, were found to have a higher risk of eight-year mortality. With the adjustment for age, gender, education level, habitual smoking and drinking, living status, BMI and medical history, the mortality was found to be higher among the sedentary subjects, either defined by lack of LTPA or NLTPA, with the hazard ratio of 1.27 (95% confidence interval [CI] = 0.97-1.66 and 1.45 (95% CI = 1.07-1.97, respectively. Furthermore, when both LTPA and NLTPA were put into the model simultaneously, NLTPA (HR = 1.40; 95% CI = 1.03-1.91 but not LTPA (HR = 1.21, 95% CI = 0.92-1.59 significantly predicted mortality during eight-year follow-up. In addition, subjects who were actively engaged in NLTPA had a lower mortality risk especially in subjects without performing LTPA. Conclusions NLTPA is an independent predictor of longevity among older people in Taiwan. A physically active lifestyle, especially engaged in

Online Statistical Modeling (Regression Analysis) for Independent Responses

Science.gov (United States)

Made Tirta, I.; Anggraeni, Dian; Pandutama, Martinus

2017-06-01

Regression analysis (statistical analmodelling) are among statistical methods which are frequently needed in analyzing quantitative data, especially to model relationship between response and explanatory variables. Nowadays, statistical models have been developed into various directions to model various type and complex relationship of data. Rich varieties of advanced and recent statistical modelling are mostly available on open source software (one of them is R). However, these advanced statistical modelling, are not very friendly to novice R users, since they are based on programming script or command line interface. Our research aims to developed web interface (based on R and shiny), so that most recent and advanced statistical modelling are readily available, accessible and applicable on web. We have previously made interface in the form of e-tutorial for several modern and advanced statistical modelling on R especially for independent responses (including linear models/LM, generalized linier models/GLM, generalized additive model/GAM and generalized additive model for location scale and shape/GAMLSS). In this research we unified them in the form of data analysis, including model using Computer Intensive Statistics (Bootstrap and Markov Chain Monte Carlo/ MCMC). All are readily accessible on our online Virtual Statistics Laboratory. The web (interface) make the statistical modeling becomes easier to apply and easier to compare them in order to find the most appropriate model for the data.

Persistent Depressive Symptoms are Independent Predictors of Low-Grade Inflammation Onset Among Healthy Individuals.

Science.gov (United States)

Franco, Fábio Gazelato de Mello; Laurinavicius, Antonio Gabriele; Lotufo, Paulo A; Conceição, Raquel D; Morita, Fernando; Katz, Marcelo; Wajngarten, Maurício; Carvalho, José Antonio Maluf; Bosworth, Hayden B; Santos, Raul Dias

2017-06-29

Depressive symptoms are independently associated with an increased risk of cardiovascular disease (CVD) among individuals with non-diagnosed CVD. The mechanisms underlying this association, however, remain unclear. Inflammation has been indicated as a possible mechanistic link between depression and CVD. This study evaluated the association between persistent depressive symptoms and the onset of low-grade inflammation. From a database of 1,508 young (mean age: 41 years) individuals with no CVD diagnosis who underwent at least two routine health evaluations, 134 had persistent depressive symptoms (Beck Depression Inventory - BDI ≥ 10, BDI+) and 1,374 had negative symptoms at both time points (BDI-). All participants had been submitted to repeated clinical and laboratory evaluations at a regular follow-up with an average of 26 months from baseline. Low-grade inflammation was defined as plasma high-sensitivity C-Reactive Protein (CRP) concentrations > 3 mg/L. The outcome was the incidence of low-grade inflammation evaluated by the time of the second clinical evaluation. The incidence of low-grade inflammation was more frequently observed in the BDI+ group compared to the BDI- group (20.9% vs. 11.4%; p = 0.001). After adjusting for sex, age, waist circumference, body mass index, levels of physical activity, smoking, and prevalence of metabolic syndrome, persistent depressive symptoms remained an independent predictor of low-grade inflammation onset (OR = 1.76; 95% CI: 1.03-3.02; p = 0.04). Persistent depressive symptoms were independently associated with low-grade inflammation onset among healthy individuals. Sintomas depressivos estão associados de forma independente ao risco aumentado de doença cardiovascular (DCV) em indivíduos com DCV não diagnosticada. Os mecanismos subjacentes a essa associação, entretanto, não estão claros. Inflamação tem sido indicada como um possível elo mecanicista entre depressão e DCV. Este estudo avaliou a associação entre

A model technology transfer program for independent operators: Kansas Technology Transfer Model (KTTM)

Energy Technology Data Exchange (ETDEWEB)

Schoeling, L.G.

1993-09-01

This report describes the development and testing of the Kansas Technology Transfer Model (KTTM) which is to be utilized as a regional model for the development of other technology transfer programs for independent operators throughout oil-producing regions in the US. It describes the linkage of the regional model with a proposed national technology transfer plan, an evaluation technique for improving and assessing the model, and the methodology which makes it adaptable on a regional basis. The report also describes management concepts helpful in managing a technology transfer program. The original Tertiary Oil Recovery Project (TORP) activities, upon which the KTTM is based, were developed and tested for Kansas and have proved to be effective in assisting independent operators in utilizing technology. Through joint activities of TORP and the Kansas Geological Survey (KGS), the KTTM was developed and documented for application in other oil-producing regions. During the course of developing this model, twelve documents describing the implementation of the KTTM were developed as deliverables to DOE. These include: (1) a problem identification (PI) manual describing the format and results of six PI workshops conducted in different areas of Kansas, (2) three technology workshop participant manuals on advanced waterflooding, reservoir description, and personal computer applications, (3) three technology workshop instructor manuals which provides instructor material for all three workshops, (4) three technologies were documented as demonstration projects which included reservoir management, permeability modification, and utilization of a liquid-level acoustic measuring device, (5) a bibliography of all literature utilized in the documents, and (6) a document which describes the KTTM.

Socioeconomic status is an independent predictor of biochemical recurrence among patients with prostate cancer who undergo radical prostatectomy

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Victor Srougi

2011-08-01

Full Text Available PURPOSE: Socioeconomic status (SES may influence cancer characteristics and behavior in several aspects. We analyzed PCa characteristics and behavior among low income uninsured men, and compare them to high income patients with health insurance in a developing country. MATERIALS AND METHODS: A retrospective case-control study was performed on 934 patients with clinically localized PCa who underwent radical prostatectomy between March, 1999 and July, 2009. Patients were divided in two groups, according to their SES. In group 1 (n=380, all had low income, low educational levels and couldn't afford medical insurance. In group 2 (n=554, all had higher income, higher education and had medical insurance. RESULTS: Patients from group 1 were older, had higher Gleason scores, higher rates of seminal vesicle and bladder neck involvement. The Kaplan Meier disease-free survival curve demonstrated that after a follow-up of four years, about 50% of uninsured patients had biochemical recurrence, versus 21% of insured patients (Log rank test: p < 0.001. A multivariate Cox regression analysis for the risk of disease recurrence demonstrated that only PSA levels, Gleason score, seminal vesicle involvement and SES were statistically significant variables. Patients with a low SES presented 1.8 times the risk of recurrence as compared to patients with a high SES. CONCLUSIONS: Patients with low SES were older, presented more aggressive PCa characteristics and a high rate of disease recurrence. A low SES constituted an independent predictor for disease recurrence.

Roll and pitch independently tuned interconnected suspension: modelling and dynamic analysis

Science.gov (United States)

Xu, Guangzhong; Zhang, Nong; Roser, Holger M.

2015-12-01

In this paper, a roll and pitch independently tuned hydraulically interconnected passive suspension is presented. Due to decoupling of vibration modes and the improved lateral and longitudinal stability, the stiffness of individual suspension spring can be reduced for improving ride comfort and road grip. A generalised 14 degree-of-freedom nonlinear vehicle model with anti-roll bars is established to investigate the vehicle ride and handling dynamic responses. The nonlinear fluidic model of the hydraulically interconnected suspension is developed and integrated with the full vehicle model to investigate the anti-roll and anti-pitch characteristics. Time domain analysis of the vehicle model with the proposed suspension is conducted under different road excitations and steering/braking manoeuvres. The dynamic responses are compared with conventional suspensions to demonstrate the potential of enhanced ride and handling performance. The results illustrate the model-decoupling property of the hydraulically interconnected system. The anti-roll and anti-pitch performance could be tuned independently by the interconnected systems. With the improved anti-roll and anti-pitch characteristics, the bounce stiffness and ride damping can be optimised for better ride comfort and tyre grip.

Clinical Predictors of Hospital-acquired Pneumonia Associated with Acute Ischemic

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Alexis Suárez Quesada

2015-06-01

Full Text Available Background: hospital-acquired pneumonia is a constant challenge given the current microbiological spectrum, antimicrobial resistance together with its high mortality, morbidity and hospital costs. Objective: to identify the clinical predictors of pneumonia associated with acute ischemic stroke. Methods: a prospective cohort study was conducted in 201 patients diagnosed with acute ischemic stroke consecutively admitted to the stroke unit of the General Carlos Manuel de Céspedes Teaching Hospital during the first seven days after the onset, from January 2012 through December 2013. The independent predictors of hospital-acquired pneumonia were obtained using multivariable logistic regression. Results: fifty six point seven percent were male. The mean age was 64.17 ± 14.33 years. Cases of hospital-acquired pneumonia associated with stroke accounted for 19, 9 %. Subjects who developed pneumonia were older (68.55 ± 13.51 vs. 63.08 ± 14.36 years, had a lower score in the Glasgow Coma Scale (8.00 ± 2.60 vs. 14.00 ± 2.82, and an increased number of leukocytes at admission (10.888 ± 3.487 vs. 9.233 ± 2.539 × 109/L. The following independent factors were identified: Glasgow Coma Scale ≤ 11 (OR: 26.099; 95 % CI 7.164-85.075, history of chronic obstructive pulmonary disease (OR: 8.896; 95 % CI 1.203-65.779, dysphagia (OR: 7.652; 95 % CI 2.369- 24.720, history of heart failure (OR: 4.583; 95 % CI 1.240- 16.932 and dysarthria/severe motor aphasia (OR: 4.222; 95 % CI 1.374- 12.975. Conclusions: the resulting logistic regression model is valid for predicting post-stroke pneumonia based on data routinely acquired.

Model-Independent Calculation of Radiative Neutron Capture on Lithium-7

NARCIS (Netherlands)

Rupak, Gautam; Higa, Renato

2011-01-01

The radiative neutron capture on lithium-7 is calculated model independently using a low-energy halo effective field theory. The cross section is expressed in terms of scattering parameters directly related to the S-matrix elements. It depends on the poorly known p-wave effective range parameter

Predictors of medication use during pregnancy: a cohort study.

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Federica Pisa

2018-06-01

Full Text Available Background Sociodemographic characteristics and health behaviours are associated with medication use in pregnancy, but it is unclear if they are independent predictors because women´s health status has hardly been accounted for. We aimed to identify predictors of use of medications and of iron/folic acid. Methods This cohort included pregnant women recruited in a prenatal clinic in Trieste, Italy, from 2007 to 2009. Dispensations were obtained from the regional outpatient dispensation database through record linkage. We calculated the Odds Ratio (OR, with 95% confidence interval (95%CI, of ≥ 1 dispensation of (a any medication and (b iron/folic acid, using unconditional logistic regression. The final model adjusted for age, partner education, housing size, comorbidities.   Findings Of 767 women, 70.5% had ≥ 1 dispensation of any medication and 46.1% of iron/folic acid. Use of any medication was predicted by immigrant status of the woman (OR 1.21; 95%CI 0.57–2.53 or of her partner (1.51; 0.67–3.40, ≤ high school degree of the woman (1.11; 0.61–2.03 or of her partner (1.21; 0.75–1.95, unemployment (1.47; 0.72–2.98, smoking (1.25; 0.65–2.40, alcohol consumption (≥5 drinks/week: 2.78; 1.78–4.34, and obesity (1.33; 0.59–2.99. Use of iron and/or folic acid was predicted by ≤ high school degree (0.65; 0.40–1.08, smoking (0.80: 0.47–1.37, and obesity (0.62; 0.31–1.25. Discussion In this cohort, characteristics including education, immigrant and employment status, smoking, alcohol consumption, and obesity independently predicted medication use. Interventions to promote safe use of medications should carefully consider women´s characteristics.

Empowerment of Mustaḥiq Zakat Model Towards Business Independency

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Hamzah Hamzah

2017-03-01

Full Text Available Zakat has not been utilized intensively for the empowerment of mustaḥiq (zakat beneficiaries in the form of productive economic business. The objective of the research was to analyze the level of mustaḥiqs’ business independency; to analyze dominant factors that influenced mustaḥiqs’ business independency, and to formulate an appropriate strategy to develop the mustaḥiqs’ business independency. The research has been carried out on 254 mustaḥiqs in Bogor Regency (66 mustaḥiqs engaged in vegetable production at Cibungbulang District, 85 mustaḥiqs in skewer business at Tenjolaya District, and 103 mustaḥiqs in shoe business at Taman Sari District. A census sampling, data collection through a questionnaire, an in-depth interview and observation were carried out in 2013. Data were analyzed descriptively and statistically, using structural equation model (SEM. The results of the research showed that: (1 the strategy of mustaḥiq empowerment could be carried out through strengthening the intrinsic motivation, training technical aspects, assisting business capital and assistance. Empowerment can be conducted synergically by the government (arrangement, service, and counseling, private sectors/State Owned Business (BUMN, higher education and community.

Ultrasonographic reproductive tract measures and pelvis measures as predictors of pregnancy failure and anestrus in restricted bred beef heifers.

Science.gov (United States)

Holm, Dietmar E; Nielen, Mirjam; Jorritsma, Ruurd; Irons, Peter C; Thompson, Peter N

2016-02-01

Previous reports have shown that reproductive tract score (RTS) can predict reproduction outcomes in seasonally bred beef heifers, although the accuracy can vary. Some ultrasonographic measures of the female reproductive tract and pelvis area have also been associated with reproductive outcome in young heifers. The objectives of this study were to determine which transrectal ultrasound or pelvis measures taken at a single examination are independent predictors of reproductive failure and whether the RTS system can be optimized with this information. In this observational study, year-old beef heifers (n = 488) in 2 birth cohorts were followed from just before the first breeding until confirmation of pregnancy. A single pre-breeding examination included body condition score, RTS, ultrasound measures of the reproductive tract (length and diameter of the left and right ovaries, presence and diameter of a CL, largest follicle diameter and left uterus horn diameter) and transverse and vertical diameters of the pelvis. Additional farm records including dam parity, sire, birth weight and birth date, weaning weight, weaning date, prebreeding body weight, AI dates, and semen used were available. Breeding consisted of 50 days of AI, followed 5 to 7 days later by a 42-day bull breeding period. Pregnancy failure was defined as the failure to become pregnant after the AI and bull breeding periods, while anestrus was defined as the failure to be detected in estrus during the 50-day AI period. From the prebreeding data and farm records, independent predictors of pregnancy failure and anestrus were identified using stepwise reduction in multiple logistic regression models. Age at the onset of breeding was the only consistent independent predictor of pregnancy failure and anestrus in both cohorts of this study (P score, uterus horn diameter, absence of a CL, largest follicle of less than 13 mm, and pelvis area (PA) were the prebreeding examination variables that remained in

EARLY PREDICTORS OF 30-DAY MORTALITY INNON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS

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Suzana Rožič

2008-09-01

30-day mortality was 4.3 %. Between nonsurvivors and survivors there were significantdifferences in mean age, the incidence of arterial hypertension, positive family history ofcoronary artery disease, in mean admission systolic and diastolic blood pressure, pulse,mean admission troponin T, leukocyte count, CRP, creatinine and the incidence of admission heart failure. Multivariate logistic regression proved that most significant independent early predictor of 30-day mortality was admission heart failure (OR 41.21, 95 %CI 3.50 to 484.66, p = 0.003, followed by admission serum creatinine (OR 0.989, 95 %CI 0.981 to 0.997, p = 0.008 and troponin T (OR 0.263, 95 % CI 0.080 to 0.861.Conclusion Most significant independent predictor of 30-day mortality of patients with non-ST-elevation ACS, being 4.5 %, was heart failure on admission

Model independent Z' constraints at future e+e- colliders

International Nuclear Information System (INIS)

Leike, A.

1993-11-01

Model independent constraints on the mass of extra neutral gauge bosons and their couplings to charged leptons are given for LEP II and a 500 GeV e + e - collider. Analytical exclusion limits are derived in the Born approximation. The Z' limits obtained with radiative corrections are always worse than those calculated at the Born level. Polarized beams are only useful for degrees of polarization essentially larger than 50%. Known discovery limits on extra Z bosons predicted by popular Z' models are reproduced as special cases. The Z' constraints are compared to those predicted by four fermion contact interactions. (orig.)

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

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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

Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia : the AusDiab Study

NARCIS (Netherlands)

Snijder, M B; Zimmet, Paul Z; Visser, M; Dekker, J M; Seidell, J C; Shaw, Jonathan E

OBJECTIVE: Fat distribution as measured by waist-to-hip ratio has been shown to be an important independent predictor of glucose intolerance. Few studies, however, have considered the contributions of the waist and hip circumferences independently. The aim of this study was to investigate the

Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia : the AusDiab Study

NARCIS (Netherlands)

Snijder, M.B.; Zimmet, P.Z.; Visser, M.; Dekker, J.M.; Seidell, J.C.; Shaw, J.E.

2004-01-01

OBJECTIVE: Fat distribution as measured by waist-to-hip ratio has been shown to be an important independent predictor of glucose intolerance. Few studies, however, have considered the contributions of the waist and hip circumferences independently. The aim of this study was to investigate the

Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model.

Science.gov (United States)

Islam, Mohammad Mafijul; Alam, Morshed; Tariquzaman, Md; Kabir, Mohammad Alamgir; Pervin, Rokhsona; Begum, Munni; Khan, Md Mobarak Hossain

2013-01-08

Malnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable. The data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model. The GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance variable namely mother's education, father's education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman. Consistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh.

Encke-Beta Predictor for Orion Burn Targeting and Guidance

Science.gov (United States)

Robinson, Shane; Scarritt, Sara; Goodman, John L.

2016-01-01

The state vector prediction algorithm selected for Orion on-board targeting and guidance is known as the Encke-Beta method. Encke-Beta uses a universal anomaly (beta) as the independent variable, valid for circular, elliptical, parabolic, and hyperbolic orbits. The variable, related to the change in eccentric anomaly, results in integration steps that cover smaller arcs of the trajectory at or near perigee, when velocity is higher. Some burns in the EM-1 and EM-2 mission plans are much longer than burns executed with the Apollo and Space Shuttle vehicles. Burn length, as well as hyperbolic trajectories, has driven the use of the Encke-Beta numerical predictor by the predictor/corrector guidance algorithm in place of legacy analytic thrust and gravity integrals.

Below knee angioplasty in elderly patients: predictors of major adverse clinical outcomes.

LENUS (Irish Health Repository)

Keeling, Aoife N

2012-02-01

AIM: To determine predictors of clinical outcome following percutaneous transluminal angioplasty (PTA) in elderly patients with below knee atherosclerotic lesions causing intermittent claudication (IC) or critical limb ischaemia (CLI). MATERIALS AND METHODS: Over 7.5 years, 76 patients (CLI 72%, n = 55) underwent below knee PTA. The composite end-point of interest was major adverse clinical outcome (MACO) of the treated limb at follow-up which was defined as clinical failure, need for subsequent endovascular or surgical revascularization or amputation. Actuarial freedom from MACO was assessed using Kaplan-Meier curves and multivariable Cox proportional hazards regression. RESULTS: IC was improved in 95% at mean 3.4 years (range 0.5-108 months). Successful limb salvage and ulcer healing were seen in 73% with CLI. Most failures were in the CLI group (27% CLI vs. 5% IC), with an amputation rate of 16% for CLI vs. 5% for IC and persistent ulceration in 24% of CLI. Significant independent predictors of MACO were ulceration (hazard ratio 4.02, 95% CI = 1.55-10.38) and family history of atherosclerosis (hazard ratio 2.53, 95% CI = 1.1-5.92). CONCLUSION: Primary below knee PTA is a feasible therapeutic option in this elderly population. Limb ulceration and family history of atherosclerosis may be independent predictors of adverse outcome.

Below knee angioplasty in elderly patients: Predictors of major adverse clinical outcomes

International Nuclear Information System (INIS)

Keeling, Aoife N.; Khalidi, Karim; Leong, Sum; Wang, Tim T.; Ayyoub, Alaa S.; McGrath, Frank P.; Athanasiou, Thanos; Lee, Michael J.

2011-01-01

Aim: To determine predictors of clinical outcome following percutaneous transluminal angioplasty (PTA) in elderly patients with below knee atherosclerotic lesions causing intermittent claudication (IC) or critical limb ischaemia (CLI). Materials and methods: Over 7.5 years, 76 patients (CLI 72%, n = 55) underwent below knee PTA. The composite end-point of interest was major adverse clinical outcome (MACO) of the treated limb at follow-up which was defined as clinical failure, need for subsequent endovascular or surgical revascularization or amputation. Actuarial freedom from MACO was assessed using Kaplan-Meier curves and multivariable Cox proportional hazards regression. Results: IC was improved in 95% at mean 3.4 years (range 0.5-108 months). Successful limb salvage and ulcer healing were seen in 73% with CLI. Most failures were in the CLI group (27% CLI vs. 5% IC), with an amputation rate of 16% for CLI vs. 5% for IC and persistent ulceration in 24% of CLI. Significant independent predictors of MACO were ulceration (hazard ratio 4.02, 95% CI = 1.55-10.38) and family history of atherosclerosis (hazard ratio 2.53, 95% CI = 1.1-5.92). Conclusion: Primary below knee PTA is a feasible therapeutic option in this elderly population. Limb ulceration and family history of atherosclerosis may be independent predictors of adverse outcome.

Below knee angioplasty in elderly patients: Predictors of major adverse clinical outcomes

Energy Technology Data Exchange (ETDEWEB)

Keeling, Aoife N.; Khalidi, Karim; Leong, Sum [Department of Academic Radiology, Beaumont Hospital, Beaumont Road, Dublin 9 (Ireland); Wang, Tim T. [Department of Biosurgery and Surgical Technology, Imperial College London, St. Mary' s Hospital, London W2 1NY (United Kingdom); Ayyoub, Alaa S.; McGrath, Frank P. [Department of Academic Radiology, Beaumont Hospital, Beaumont Road, Dublin 9 (Ireland); Athanasiou, Thanos [Department of Biosurgery and Surgical Technology, Imperial College London, St. Mary' s Hospital, London W2 1NY (United Kingdom); Lee, Michael J., E-mail: mlee@rcsi.ie [Department of Academic Radiology, Beaumont Hospital, Beaumont Road, Dublin 9 (Ireland)

2011-03-15

Aim: To determine predictors of clinical outcome following percutaneous transluminal angioplasty (PTA) in elderly patients with below knee atherosclerotic lesions causing intermittent claudication (IC) or critical limb ischaemia (CLI). Materials and methods: Over 7.5 years, 76 patients (CLI 72%, n = 55) underwent below knee PTA. The composite end-point of interest was major adverse clinical outcome (MACO) of the treated limb at follow-up which was defined as clinical failure, need for subsequent endovascular or surgical revascularization or amputation. Actuarial freedom from MACO was assessed using Kaplan-Meier curves and multivariable Cox proportional hazards regression. Results: IC was improved in 95% at mean 3.4 years (range 0.5-108 months). Successful limb salvage and ulcer healing were seen in 73% with CLI. Most failures were in the CLI group (27% CLI vs. 5% IC), with an amputation rate of 16% for CLI vs. 5% for IC and persistent ulceration in 24% of CLI. Significant independent predictors of MACO were ulceration (hazard ratio 4.02, 95% CI = 1.55-10.38) and family history of atherosclerosis (hazard ratio 2.53, 95% CI = 1.1-5.92). Conclusion: Primary below knee PTA is a feasible therapeutic option in this elderly population. Limb ulceration and family history of atherosclerosis may be independent predictors of adverse outcome.

Extracorporeal shock wave lithotripsy (ESWL) monotherapy in children: Predictors of successful outcome.

Science.gov (United States)

Alsagheer, G; Abdel-Kader, M S; Hasan, A M; Mahmoud, O; Mohamed, O; Fathi, A; Abass, M; Abolyosr, A

2017-10-01

Although extracorporeal shock wave lithotripsy (ESWL) is the first choice for pediatric renal calculi ESWL. A prospective study including 100 children with renal stone burden ESWL at the present institution. The success rate after the first session was analyzed, and the predictors of success were investigated. The success of ESWL monotherapy was defined by absence of any residual fragments after 3 months, on non-contrast spiral computerized tomography (NCCT) scan, without need of any additional intervention. Between January 2013 and October 2015, 100 children were treated with a Dornier Gemini lithotripter at the present institution. The mean patients age and stone size were 6 years (range: 1.8-14) and 13.1 mm (range: 6-20), respectively. After one session, 47% of patients showed complete clearance 3 months postoperative, those patients versus those who required an additional session or auxiliary procedures were younger in age, with smaller stone size and lower density. On multivariate analysis, only patient age was an independent predictor of success (odds ratio (OR) 0.9; P ESWL monotherapy: not only did children respond better than adults, but age was also an independent predictor within the pediatric group. Copyright © 2017 Journal of Pediatric Urology Company. Published by Elsevier Ltd. All rights reserved.

The Job Demands-Resources model as predictor of work identity and work engagement: A comparative analysis

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Roslyn De Braine

2011-05-01

Research purpose: This study explored possible differences in the Job Demands-Resources model (JD-R as predictor of overall work engagement, dedication only and work-based identity, through comparative predictive analyses. Motivation for the study: This study may shed light on the dedication component of work engagement. Currently no literature indicates that the JD-R model has been used to predict work-based identity. Research design: A census-based survey was conducted amongst a target population of 23134 employees that yielded a sample of 2429 (a response rate of about 10.5%. The Job Demands- Resources scale (JDRS was used to measure job demands and job resources. A work-based identity scale was developed for this study. Work engagement was studied with the Utrecht Work Engagement Scale (UWES. Factor and reliability analyses were conducted on the scales and general multiple regression models were used in the predictive analyses. Main findings: The JD-R model yielded a greater amount of variance in dedication than in work engagement. It, however, yielded the greatest amount of variance in work-based identity, with job resources being its strongest predictor. Practical/managerial implications: Identification and work engagement levels can be improved by managing job resources and demands. Contribution/value-add: This study builds on the literature of the JD-R model by showing that it can be used to predict work-based identity.

THE PREDICTOR FACTORS OF EMERGENCY NURSES' PERFORMANCES TO THE PROFESSIONAL SERVICES EXCELLENCE

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Rina Annisa

2017-10-01

Full Text Available Emergency nurses’ performances remains long standing determinates of quality services rendered for patients admitted to get emergency treatments in the hospitals. It has been viewed as a dimension of professional services excellence. The purpose of this study focused on the predictive correlation of five predictors; namely human resources management, transformational leadership, incentives, hospital structure, and job rotation on the emergency nurses’ performance. This descriptive quantitative study used total sampling technique of 100 nurses in the Emergency Department, in four Government Hospital in Banjarmasin, Bajarbaru, and Martapura. All data obtained by administering questionnaires to the participances. The analytical procedure of multiple linear regression was utilized to determine the predicting strength correlation between the dependent and the independent variables. The result of Pearson product‑moment correlation coefficients revealed that positive correlation established between emergency nurses’ performances and human resources management, transformational leadership, incentives, hospital structure, and job rotation, as the independent variables. The summary of multiple linear regression analysis of all independent variables indicated that incentives was the most strongly predictor to the emergency nurses’ performances.

A model-independent "General Search" for new physics with the ATLAS detector at LHC

CERN Document Server

Bianchi, Riccardo Maria

2014-06-02

The LHC particle collider accelerates bunches of colliding protons at an energy never reached before, and a completely new landscape of new physics has been opened. In this scenario the number of possible physics processes and signatures becomes virtually infinite, making the setup of dedicated analyses impossible. Moreover it is important being able to reveal new physics signals even in regions of the phase-space where it is less lucky to be found, or where suitable theoretical models are missing. In this Thesis a new model-independent “General Search” for the ATLAS experiment has been conceived. In fact, at the time this project started, no model-independent search was set for ATLAS. In the end the new analysis has been run over the first data at 7 TeV collected by the ATLAS experiment, and the results presented. The data have shown a very good agreement with the Standard Model expectation, and no evidence of new physics has been observed. But the strategy and methodology of the new model-independent Ge...

Mental Health Changes and Its Predictors in Adolescents using the Path Analytic Model: A 7-Year Observational Study.

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Ali Reza Soltanian

2014-03-01

Full Text Available This 7-year observational study examines the hours of TV-watching, phone conversation with friends, using the internet, and physical activity as predictors of mental health among adolescents in south of Iran.At the baseline (in 2005, the participants were 2584 high school students in the 9th to 11th grade. At the baseline, 30% of the available participants (n = 775 were selected in the follow-up (2012 using convenience sampling method. This study used the path analysis to examine the predictors of mental health and to obtain direct, indirect and total effects of the independent variables.At the baseline (2005, female gender, internet use, maternal education, physical activity and father's education were associated with mental health (p<0.05. Baseline mental health, internet use and physical activity predicted mental health of the participants in the follow up (p<0.05.The findings of the study revealed that better mental health in later life is associated with better mental health at baseline, male gender, higher physical activity and phone communication with friends, and less use of the internet and TV.

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.

External validation of a normal tissue complication probability model for radiation-induced hypothyroidism in an independent cohort

DEFF Research Database (Denmark)

Rønjom, Marianne F; Brink, Carsten; Bentzen, Søren M

2015-01-01

blood tests in the validation cohort relative to the original cohort. However, Pearson's correlation coefficients between model and clinical outcome were high: r = 0.97 estimated by the original model versus the original cohort, and r = 0.97 estimated by the original model versus the new cohort....... CONCLUSION: Dmean and Vthyroid were significant predictors of RIHT in both cohorts. The original NTCP model demonstrated external validity owing to high Pearson's correlation coefficients between estimated and observed incidence rates of RIHT in the original as well as in the validation cohort. This model...

Predictors of avoiding medical care and reasons for avoidance behavior.

Science.gov (United States)

Kannan, Viji Diane; Veazie, Peter J

2014-04-01

Delayed medical care has negative health and economic consequences; interventions have focused on appraising symptoms, with limited success in reducing delay. To identify predictors of care avoidance and reasons for avoiding care. Using the Health Information National Trends Survey (2007), we conducted logistic regressions to identify predictors of avoiding medical visits deemed necessary by the respondents; and, we then conducted similar analyses on reasons given for avoidance behavior. Independent variables included geographic, demographic, socioeconomic, personal health, health behavior, health care system, and cognitive characteristics. Approximately one third of adults avoided doctor visits they had deemed necessary. Although unadjusted associations existed, avoiding needed care was not independently associated with geographic, demographic, and socioeconomic characteristics. Avoidance behavior is characterized by low health self-efficacy, less experience with both quality care and getting help with uncertainty about health, having your feelings attended to by your provider, no usual source of care, negative affect, smoking daily, and fatalistic attitude toward cancer. Reasons elicited for avoidance include preference for self-care or alternative care, dislike or distrust of doctors, fear or dislike of medical treatments, time, and money; respondents also endorsed discomfort with body examinations, fear of having a serious illness, and thoughts of dying. Distinct predictors distinguish each of these reasons. Interventions to reduce patient delay could be improved by addressing the health-related behavioral, belief, experiential, and emotional traits associated with delay. Attention should also be directed toward the interpersonal communications between patients and providers.

Phenobarbital for Neonatal Seizures: Response Rate and Predictors of Refractoriness.

Science.gov (United States)

Spagnoli, Carlotta; Seri, Stefano; Pavlidis, Elena; Mazzotta, Silvia; Pelosi, Annalisa; Pisani, Francesco

2016-10-01

Background Phenobarbital is the first-line choice for neonatal seizures treatment, despite a response rate of approximately 45%. Failure to respond to acute anticonvulsants is associated with poor neurodevelopmental outcome, but knowledge on predictors of refractoriness is limited. Objective To quantify response rate to phenobarbital and to establish variables predictive of its lack of efficacy. Methods We retrospectively evaluated newborns with electrographically confirmed neonatal seizures admitted between January 1999 and December 2012 to the neonatal intensive care unit of Parma University Hospital (Italy), excluding neonates with status epilepticus. Response was categorized as complete (cessation of clinical and electrographic seizures after phenobarbital administration), partial (reduction but not cessation of electrographic seizures with the first bolus, response to the second bolus), or absent (no response after the second bolus). Multivariate analysis was used to identify independent predictors of refractoriness. Results Out of 91 newborns receiving phenobarbital, 57 (62.6%) responded completely, 15 (16.5%) partially, and 19 (20.9%) did not respond. Seizure type (p = 0.02), background electroencephalogram (EEG; p ≤ 0.005), and neurologic examination (p  ≤  0.005) correlated with response to phenobarbital. However, EEG (p  ≤  0.02) and seizure type (p  ≤  0.001) were the only independent predictors. Conclusion Our results suggest a prominent role of neurophysiological variables (background EEG and electrographic-only seizure type) in predicting the absence of response to phenobarbital in high-risk newborns. Georg Thieme Verlag KG Stuttgart · New York.

Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy.

Directory of Open Access Journals (Sweden)

Konstantinos Karatolios

Full Text Available The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi.From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044, a glomerular filtration rate (GFR 440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.

MUSiC - Model-independent search for deviations from Standard Model predictions in CMS

Science.gov (United States)

Pieta, Holger

2010-02-01

We present an approach for a model independent search in CMS. Systematically scanning the data for deviations from the standard model Monte Carlo expectations, such an analysis can help to understand the detector and tune event generators. By minimizing the theoretical bias the analysis is furthermore sensitive to a wide range of models for new physics, including the uncounted number of models not-yet-thought-of. After sorting the events into classes defined by their particle content (leptons, photons, jets and missing transverse energy), a minimally prejudiced scan is performed on a number of distributions. Advanced statistical methods are used to determine the significance of the deviating regions, rigorously taking systematic uncertainties into account. A number of benchmark scenarios, including common models of new physics and possible detector effects, have been used to gauge the power of such a method. )

Occam factors and model independent Bayesian learning of continuous distributions

International Nuclear Information System (INIS)

Nemenman, Ilya; Bialek, William

2002-01-01

Learning of a smooth but nonparametric probability density can be regularized using methods of quantum field theory. We implement a field theoretic prior numerically, test its efficacy, and show that the data and the phase space factors arising from the integration over the model space determine the free parameter of the theory ('smoothness scale') self-consistently. This persists even for distributions that are atypical in the prior and is a step towards a model independent theory for learning continuous distributions. Finally, we point out that a wrong parametrization of a model family may sometimes be advantageous for small data sets

A Longitudinal Study of Predictors of Sexual Dysfunction in Men on Active Surveillance for Prostate Cancer

Directory of Open Access Journals (Sweden)

Shane M. Pearce, MD

2015-09-01

Conclusions: Men on AS experienced a gradual decline in sexual function during the first 24 months of enrollment. Older age, PSA × time, and diabetes were all independent predictors of diminished sexual function over time. Anxiety, AUA‐SI, the number of cores and the number of biopsies were not predictors of reduced sexual function in men in AS. Pearce SM, Wang CHE, Victorson DE, Helfand BT, Novakovic KR, Brendler CB, and Albaugh JA. A longitudinal study of predictors of sexual dysfunction in men on active surveillance for prostate cancer. Sex Med 2015;3:156–164.

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.

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.

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).

Validation of elk resource selection models with spatially independent data

Science.gov (United States)

Priscilla K. Coe; Bruce K. Johnson; Michael J. Wisdom; John G. Cook; Marty Vavra; Ryan M. Nielson

2011-01-01

Knowledge of how landscape features affect wildlife resource use is essential for informed management. Resource selection functions often are used to make and validate predictions about landscape use; however, resource selection functions are rarely validated with data from landscapes independent of those from which the models were built. This problem has severely...

Cognitive predictors of children's development in mathematics achievement: A latent growth modeling approach.

Science.gov (United States)

Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M

2018-04-24

Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change in mathematics achievement is scarce. We assessed 334 children's domain-general and mathematics-specific early cognitive abilities and their general mathematics achievement longitudinally across four time-points within the first and second grades of primary school. As expected, a constellation of multiple cognitive abilities contributed to the children's starting level of mathematical success. Specifically, latent growth modeling revealed that WM abilities, IQ, counting skills, nonsymbolic and symbolic approximate arithmetic and comparison skills explained individual differences in the children's initial status on a curriculum-based general mathematics achievement test. Surprisingly, however, only one out of all the assessed cognitive abilities was a unique predictor of the children's individual growth rates in mathematics achievement: their performance in the symbolic approximate addition task. In this task, children were asked to estimate the sum of two large numbers and decide if this estimated sum was smaller or larger compared to a third number. Our findings demonstrate the importance of multiple domain-general and mathematics-specific cognitive skills for identifying children at risk of struggling with mathematics and highlight the significance of early approximate arithmetic skills for the development of one's mathematical success. We argue the need for more research focus on explaining children's individual growth rates in mathematics achievement. © 2018 John Wiley & Sons Ltd.

Clinical predictors of acute response to transcranial direct current stimulation (tDCS) in major depression.

Science.gov (United States)

D'Urso, Giordano; Dell'Osso, Bernardo; Rossi, Rodolfo; Brunoni, Andre Russowsky; Bortolomasi, Marco; Ferrucci, Roberta; Priori, Alberto; de Bartolomeis, Andrea; Altamura, Alfredo Carlo

2017-09-01

Transcranial direct current stimulation (tDCS) is a promising neuromodulation intervention for poor-responding or refractory depressed patients. However, little is known about predictors of response to this therapy. The present study aimed to analyze clinical predictors of response to tDCS in depressed patients. Clinical data from 3 independent tDCS trials on 171 depressed patients (including unipolar and bipolar depression), were pooled and analyzed to assess predictors of response. Depression severity and the underlying clinical dimensions were measured using the Hamilton Depression Rating Scale (HDRS) at baseline and after the tDCS treatment. Age, gender and diagnosis (bipolar/unipolar depression) were also investigated as predictors of response. Linear mixed models were fitted in order to ascertain which HDRS factors were associated with response to tDCS. Age, gender and diagnosis did not show any association with response to treatment. The reduction in HDRS scores after tDCS was strongly associated with the baseline values of "Cognitive Disturbances" and "Retardation" factors, whilst the "Anxiety/Somatization" factor showed a mild association with the response. Open-label design, the lack of control group, and minor differences in stimulation protocols. No differences in response to tDCS were found between unipolar and bipolar patients, suggesting that tDCS is effective for both conditions. "Cognitive disturbance", "Retardation", and "Anxiety/Somatization", were identified as potential clinical predictors of response to tDCS. These findings point to the pre-selection of the potential responders to tDCS, therefore optimizing the clinical use of this technique and the overall cost-effectiveness of the psychiatric intervention for depressed patients. Copyright © 2017 Elsevier B.V. All rights reserved.

A model perception on the independence of PhD students in ...

African Journals Online (AJOL)

Amy Stambach

A model perception on the independence of PhD students in promoting the ... At school of postgraduate studies, all academic documents related to PhD ..... Workshop series sponsored by the counseling center at the University of Illinois in ...

Circumscribing late dark matter decays model-independently

International Nuclear Information System (INIS)

Yueksel, Hasan; Kistler, Matthew D.

2008-01-01

A number of theories, spanning a wide range of mass scales, predict dark matter candidates that have lifetimes much longer than the age of the Universe, yet may produce a significant flux of gamma rays in their decays today. We constrain such late-decaying dark matter scenarios model-independently by utilizing gamma-ray line emission limits from the Galactic Center region obtained with the SPI spectrometer on INTEGRAL, and the determination of the isotropic diffuse photon background by SPI, COMPTEL, and EGRET observations. We show that no more than ∼5% of the unexplained MeV background can be produced by late dark matter decays either in the Galactic halo or cosmological sources.

Fasting triglycerides as a predictor of incident diabetes, insulin resistance and β-cell function in a Canadian First Nation.

Science.gov (United States)

Riediger, Natalie D; Clark, Kirsten; Lukianchuk, Virginia; Roulette, Joanne; Bruce, Sharon

2017-01-01

Diabetes prevalence is substantially higher among Canadian First Nations populations than the non-First Nation population. Fasting serum triglycerides have been found to be an important predictor of incident diabetes among non-indigenous populations. However, there is a great need to understand diabetes progression within specific ethnic groups, particularly First Nations populations. The purpose of this study was to test for an association between fasting serum triglycerides and incident diabetes, changes in insulin resistance and changes in β-cell function in a Manitoba First Nation cohort. Study data were from two diabetes screening studies in Sandy Bay First Nation in Manitoba, Canada, collected in 2002/2003 and 2011/2012. The cohort was composed of respondents to both screening studies (n=171). Fasting blood samples and anthropometric, health and demographic data were collected. A generalised linear model with Poisson distribution was used to test for an association between fasting triglycerides and incident diabetes. There were 35 incident cases of diabetes among 128 persons without diabetes at baseline. Participants who developed incident type 2 diabetes were significantly older and had significantly higher body mass index (BMI; p=0.012), total cholesterol (p=0.007), fasting triglycerides (ptriglyceride level was found to be a statistically significant positive predictor of incident diabetes independent of age, sex and waist circumference at baseline. Participants with triglycerides in the highest tertile (≥2.11 mmol/l) had a 4.0-times higher risk of developing incident diabetes compared to those in the lowest tertile (p=0.03). Notably, neither waist circumference nor BMI were significant predictors of incident diabetes independent of age, sex and triglycerides. Fasting triglycerides may be useful as a clinical predictor of insulin resistance and diabetes development among First Nations populations. Unlike other ethnic groups, BMI and waist circumference

Prevalence and predictors of physical exercise among nurses. A cross-sectional study

Directory of Open Access Journals (Sweden)

Mohamad A. Al-Tannir

2017-02-01

Full Text Available Objectives: To identify the prevalence and predictors of physical exercise among nurses. Methods: This study was conducted at 2 hospitals selected randomly from tertiary hospitals in King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia (KSA and Makassed General Hospital, Beirut, Lebanon in 2014. The study included nurses with at least one year of nursing experience. Data were collected using a self-administered questionnaire. The questionnaire was divided into 2 sections, one covering the respondents’ demographics, and the other one assessing the prevalence and the characteristics of physical exercise. Results: A total of 412 participants responded, of whom 248 (60.2% are engaged in physical exercise. On multivariate analysis, normal weight and smoking were independently associated with physical exercise. Most 66.1% of respondents reported practicing walking as the most common type of physical activity. One hundred eighty (72.6% respondents relied on their own motivation to perform physical activity and 64.6% reported the lack of availability of physical activity facilities. Conclusion: Smoking and obesity were the significant predictors associated with physical inactivity. Encouraging nurses to adopt a healthy lifestyle for their role modeling to patients as health promoters is recommended.

An investigation of maternal food intake and maternal food talk as predictors of child food intake.

Science.gov (United States)

DeJesus, Jasmine M; Gelman, Susan A; Viechnicki, Gail B; Appugliese, Danielle P; Miller, Alison L; Rosenblum, Katherine L; Lumeng, Julie C

2018-08-01

Though parental modeling is thought to play a critical role in promoting children's healthy eating, little research has examined maternal food intake and maternal food talk as independent predictors of children's food intake. The present study examines maternal food talk during a structured eating protocol, in which mothers and their children had the opportunity to eat a series of familiar and unfamiliar vegetables and desserts. Several aspects of maternal talk during the protocol were coded, including overall food talk, directives, pronoun use, and questions. This study analyzed the predictors of maternal food talk and whether maternal food talk and maternal food intake predicted children's food intake during the protocol. Higher maternal body mass index (BMI) predicted lower amounts of food talk, pronoun use, and questions. Higher child BMI z-scores predicted more first person pronouns and more wh-questions within maternal food talk. Mothers of older children used fewer directives, fewer second person pronouns, and fewer yes/no questions. However, maternal food talk (overall and specific types of food talk) did not predict children's food intake. Instead, the most robust predictor of children's food intake during this protocol was the amount of food that mothers ate while sitting with their children. These findings emphasize the importance of modeling healthy eating through action and have implications for designing interventions to provide parents with more effective tools to promote their children's healthy eating. Copyright © 2018 Elsevier Ltd. All rights reserved.

Population-Level Incidence and Predictors of Surgically Induced Diabetes and Exocrine Insufficiency after Partial Pancreatic Resection.

Science.gov (United States)

Elliott, Irmina A; Epelboym, Irene; Winner, Megan; Allendorf, John D; Haigh, Philip I

2017-01-01

Endocrine and exocrine insufficiency after partial pancreatectomy affect quality of life, cardiovascular health, and nutritional status. However, their incidence and predictors are unknown. To identify the incidence and predictors of new-onset diabetes and exocrine insufficiency after partial pancreatectomy. We retrospectively reviewed 1165 cases of partial pancreatectomy, performed from 1998 to 2010, from a large population-based database. Incidence of new onset diabetes and exocrine insufficiency RESULTS: Of 1165 patients undergoing partial pancreatectomy, 41.8% had preexisting diabetes. In the remaining 678 patients, at a median 3.6 months, diabetes developed in 274 (40.4%) and pancreatic insufficiency developed in 235 (34.7%) patients. Independent predictors of new-onset diabetes were higher Charlson Comorbidity Index (CCI; hazard ratio [HR] = 1.62 for CCI of 1, p = 0.02; HR = 1.95 for CCI ≥ 2, p pancreatitis (HR = 1.51, p = 0.03). There was no difference in diabetes after Whipple procedure vs distal pancreatic resections, or malignant vs benign pathologic findings. Independent predictors of exocrine insufficiency were female sex (HR = 1.32, p = 0.002) and higher CCI (HR = 1.85 for CCI of 1, p insufficiency (HR = 0.35, p endocrine and exocrine insufficiency were 40% and 35%, respectively. These data are critical for informing patients' and physicians' expectations.

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.

Osteoprotegerin independently predicts mortality in patients with stable coronary artery disease: the CLARICOR trial

DEFF Research Database (Denmark)

Bjerre, Mette; Hilden, Jørgen; Kastrup, Jens

2014-01-01

OBJECTIVES: To elucidate the prognostic power of serum osteoprotegerin (OPG) in patients with stable coronary artery disease (CAD). METHODS: Serum OPG levels were measured in the CLARICOR trial cohort of 4063 patients with stable CAD on blood samples drawn at randomization. The follow-up was 2...... predictor for all-cause mortality. Importantly, OPG remained an independent predictor of mortality even after adjustment for both clinical and conventional cardiovascular risk markers (HR 2.5 [95% CI 1.6-3.9, p power as to all...

Constitutive equations for the Doi-Edwards model without independent alignment

DEFF Research Database (Denmark)

Hassager, Ole; Hansen, Rasmus

2010-01-01

We present two representations of the Doi-Edwards model without Independent Alignment explicitly expressed in terms of the Finger strain tensor, its inverse and its invariants. The two representations provide explicit expressions for the stress prior to and after Rouse relaxation of chain stretch......, respectively. The maximum deviations from the exact representations in simple shear, biaxial extension and uniaxial extension are of order 2%. Based on these two representations, we propose a framework for Doi-Edwards models including chain stretch in the memory integral form....

The role of cognitive and visual abilities as predictors in the Multifactorial Model of Driving Safety.

Science.gov (United States)

Anstey, Kaarin J; Horswill, Mark S; Wood, Joanne M; Hatherly, Christopher

2012-03-01

The current study evaluated part of the Multifactorial Model of Driving Safety to elucidate the relative importance of cognitive function and a limited range of standard measures of visual function in relation to the Capacity to Drive Safely. Capacity to Drive Safely was operationalized using three validated screening measures for older drivers. These included an adaptation of the well validated Useful Field of View (UFOV) and two newer measures, namely a Hazard Perception Test (HPT), and a Hazard Change Detection Task (HCDT). Community dwelling drivers (n=297) aged 65-96 were assessed using a battery of measures of cognitive and visual function. Factor analysis of these predictor variables yielded factors including Executive/Speed, Vision (measured by visual acuity and contrast sensitivity), Spatial, Visual Closure, and Working Memory. Cognitive and Vision factors explained 83-95% of age-related variance in the Capacity to Drive Safely. Spatial and Working Memory were associated with UFOV, HPT and HCDT, Executive/Speed was associated with UFOV and HCDT and Vision was associated with HPT. The Capacity to Drive Safely declines with chronological age, and this decline is associated with age-related declines in several higher order cognitive abilities involving manipulation and storage of visuospatial information under speeded conditions. There are also age-independent effects of cognitive function and vision that determine driving safety. Copyright © 2011 Elsevier Ltd. All rights reserved.

Predictors of anaemia and iron deficiency in HIV-infected pregnant women in Tanzania: a potential role for vitamin D and parasitic infections.

Science.gov (United States)

Finkelstein, Julia L; Mehta, Saurabh; Duggan, Christopher P; Spiegelman, Donna; Aboud, Said; Kupka, Roland; Msamanga, Gernard I; Fawzi, Wafaie W

2012-05-01

Anaemia is common during pregnancy, and prenatal Fe supplementation is the standard of care. However, the persistence of anaemia despite Fe supplementation, particularly in HIV infection, suggests that its aetiology may be more complex and warrants further investigation. The present study was conducted to examine predictors of incident haematological outcomes in HIV-infected pregnant women in Tanzania. Prospective cohort study. Cox proportional hazards and binomial regression models were used to identify predictors of incident haematological outcomes: anaemia (Hb anaemia (Hb anaemia and hypochromic microcytosis during follow-up. Higher baseline erythrocyte sedimentation rate and CD8 T-cell concentrations, and lower Hb concentrations and CD4 T-cell counts, were independent predictors of incident anaemia and Fe deficiency. Low baseline vitamin D (anaemia and hypochromic microcytosis, respectively, during the follow-up period. Parasitic infections, vitamin D insufficiency, low CD4 T-cell count and high erythrocyte sedimentation rate were the main predictors of anaemia and Fe deficiency in pregnancy and the postpartum period in this population. A comprehensive approach to prevent and manage anaemia, including micronutrient supplementation and infectious disease control, is warranted in HIV-infected women in resource-limited settings - particularly during the pre- and postpartum periods.

Cognitive predictors of children's development in mathematics achievement : A latent growth modeling approach

NARCIS (Netherlands)

Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M

2018-01-01

Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change

Positive Disposition in the Prediction of Strategic Independence among Millennials

Directory of Open Access Journals (Sweden)

Robert Konopaske

2017-11-01

Full Text Available Research on the dispositional traits of Millennials (born in 1980–2000 finds that this generation, compared to earlier generations, tends to be more narcissistic, hold themselves in higher regard and feel more entitled to rewards. The purpose of this intragenerational study is to counter balance extant research by exploring how the positive dispositional traits of proactive personality, core self-evaluation, grit and self-control predict strategic independence in a sample of 311 young adults. Strategic independence is a composite variable measuring a person’s tendency to make plans and achieve long-term goals. A confirmatory factor analysis and hierarchical regression found evidence of discriminant validity across the scales and that three of the four independent variables were statistically significant and positive predictors of strategic independence in the study. The paper discusses research and practical implications, strengths and limitations and areas for future research.

Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response

DEFF Research Database (Denmark)

Li, Qiyuan; Eklund, Aron Charles; Birkbak, Nicolai Juul

2011-01-01

in four similar but independent cohorts and found strong associations between three of the metagenes and agent-specific response to neoadjuvant therapy. Furthermore, we applied the method to ovarian and early stage lung cancer, two tumor types that lack reliable predictors of outcome, and found...

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.

Model-independent search for new physics at D0 experiment

International Nuclear Information System (INIS)

Naimuddin, Md.

2012-01-01

Finding the evidence of new physics beyond the Standard Model is one of the primary goals of RunII of the Tevatron. Many dedicated searches for new physics are ongoing at the Tevatron but in order to broaden the scope and maximize the chances of finding the new physics, we also search in a model-independent way. The results of such searches for indications of new physics at the electroweak scale are presented using data collected using the D0 detector from pp-bar-interactions at √s = 1.96 TeV. (author)

A multicomponent approach to identify predictors of hospital outcomes in older in-patients: a multicentre, observational study.

Directory of Open Access Journals (Sweden)

Stefanie L De Buyser

Full Text Available BACKGROUND: The identification of older patients at risk of poor hospital outcomes (e.g. longer hospital stay, in-hospital mortality, and institutionalisation is important to provide an effective healthcare service. OBJECTIVE: To identify factors related to older patients' clinical, nutritional, functional and socio-demographic profiles at admission to an acute care ward that can predict poor hospital outcomes. DESIGN AND SETTING: The CRiteria to assess appropriate Medication use among Elderly complex patients project was a multicentre, observational study performed in geriatric and internal medicine acute care wards of seven Italian hospitals. SUBJECTS: One thousand one hundred twenty-three consecutively admitted patients aged 65 years or older. METHODS: Hospital outcomes were length of stay, in-hospital mortality, and institutionalisation. RESULTS: Mean age of participants was 81 years, 56% were women. Median length of stay was 10 (7-14 days, 41 patients died during hospital stay and 37 were newly institutionalised. Number of drugs before admission, metastasized cancer, renal failure or dialysis, infection, falls at home during the last year, pain, and walking speed were independent predictors of LoS. Total dependency in activities of daily living and inability to perform grip strength test were independent predictors of in-hospital mortality. Malnutrition and total dependency in activities of daily living were independent predictors of institutionalisation. CONCLUSIONS: Our results confirm that not only diseases, but also multifaceted aspects of ageing such as physical function and malnutrition are strong predictors of hospital outcomes and suggest that these variables should be systematically recorded.

Hashimoto thyroiditis is an independent cardiovascular risk factor in clinically hypothyroid patients

Directory of Open Access Journals (Sweden)

Mohammed N. Atta

2011-12-01

Full Text Available Hypothyroidism is a common disorder that confers an increased cardiovascular risk. The most common cause is Hashimoto thyroiditis (HT but it can also be caused by thyroidectomy and radioiodine therapy. The aim of the study is to examine whether there is a relation between the cause of hypothyroidism and cardiovascular risk. Subjects and methods: The study included 20 patients with Hashimoto thyroiditis and hypothyroidism, 20 patients with post-thyroidectomy hypothyroidism, 20 patients with post-radioiodine hypothyroidism, and 20 age and sex matched controls. In all the studied subjects we determined thyroid function tests; TSH and F.T4, thyroid auto-antibodies; anti-TPO and anti-TG antibodies, carotid intima media thickness (CIMT, flow mediated dilation (FMD and serum nitric oxide. Results: CIMT showed a trend to be higher in HT group (0.93 ± 0.08 mm compared to other causes of hypothyroidism (P = 0.090. Multivariate analysis showed that HT is an independent predictor of CIMT (P = 0.015. FMD was significantly lower in HT group (5.74 ± 1.33% compared to post-thyroidectomy (7.16 ± 1.05% (P = 0.001, and post-radioiodine therapy (7.34 ± 1.34% (P = 0.000. Multivariate analysis showed that HT is an independent predictor of FMD (P = 0.000. NO was significantly higher in hypothyroid patients (125.98 ± 5.03 μM/ml compared to controls (39.44 ± 3.63 μM/ml (P = 0.001, both univariate and multivariate analyses showed that NO is an independent predictor of both CIMT and FMD (P = 0.000. Conclusion: To our knowledge, this is the first study to show that Hashimoto thyroiditis is an independent cardiovascular risk factor in clinically hypothyroid patients. Keywords: Hypothyroidism, Hashimoto thyroiditis, CIMT, FMD, Nitric oxide

Calculating tracer currents through narrow ion channels: Beyond the independent particle model.

Science.gov (United States)

Coalson, Rob D; Jasnow, David

2018-06-01

Discrete state models of single-file ion permeation through a narrow ion channel pore are employed to analyze the ratio of forward to backward tracer current. Conditions under which the well-known Ussing formula for this ratio hold are explored in systems where ions do not move independently through the channel. Building detailed balance into the rate constants for the model in such a way that under equilibrium conditions (equal rate of forward vs. backward permeation events) the Nernst Equation is satisfied, it is found that in a model where only one ion can occupy the channel at a time, the Ussing formula is always obeyed for any number of binding sites, reservoir concentrations of the ions and electric potential difference across the membrane which the ion channel spans, independent of the internal details of the permeation pathway. However, numerical analysis demonstrates that when multiple ions can occupy the channel at once, the nonequilibrium forward/backward tracer flux ratio deviates from the prediction of the Ussing model. Assuming an appropriate effective potential experienced by ions in the channel, we provide explicit formulae for the rate constants in these models. © 2018 IOP Publishing Ltd.

Model-independent determination of the triple Higgs coupling at e+e- colliders

Science.gov (United States)

Barklow, Tim; Fujii, Keisuke; Jung, Sunghoon; Peskin, Michael E.; Tian, Junping

2018-03-01

The observation of Higgs pair production at high-energy colliders can give evidence for the presence of a triple Higgs coupling. However, the actual determination of the value of this coupling is more difficult. In the context of general models for new physics, double Higgs production processes can receive contributions from many possible beyond-Standard-Model effects. This dependence must be understood if one is to make a definite statement about the deviation of the Higgs field potential from the Standard Model. In this paper, we study the extraction of the triple Higgs coupling from the process e+e-→Z h h . We show that, by combining the measurement of this process with other measurements available at a 500 GeV e+e- collider, it is possible to quote model-independent limits on the effective field theory parameter c6 that parametrizes modifications of the Higgs potential. We present precise error estimates based on the anticipated International Linear Collider physics program, studied with full simulation. Our analysis also gives new insight into the model-independent extraction of the Higgs boson coupling constants and total width from e+e- data.

On model-independent analyses of elastic hadron scattering

International Nuclear Information System (INIS)

Avila, R.F.; Campos, S.D.; Menon, M.J.; Montanha, J.

2007-01-01

By means of an almost model-independent parametrization for the elastic hadron-hadron amplitude, as a function of the energy and the momentum transfer, we obtain good descriptions of the physical quantities that characterize elastic proton-proton and antiproton-proton scattering (total cross section, r parameter and differential cross section). The parametrization is inferred on empirical grounds and selected according to high energy theorems and limits from axiomatic quantum field theory. Based on the predictive character of the approach we present predictions for the above physical quantities at the Brookhaven RHIC, Fermilab Tevatron and CERN LHC energies. (author)

Learning probabilistic models of hydrogen bond stability from molecular dynamics simulation trajectories

KAUST Repository

Chikalov, Igor; Yao, Peggy; Moshkov, Mikhail; Latombe, Jean-Claude

2011-01-01

. The intrinsic strength of an individual H-bond has been studied from an energetic viewpoint, but energy alone may not be a very good predictor.Methods: This paper describes inductive learning methods to train protein-independent probabilistic models of H

Techniques for studies of unbinned model independent CP violation

Energy Technology Data Exchange (ETDEWEB)

Bedford, Nicholas; Weisser, Constantin; Parkes, Chris; Gersabeck, Marco; Brodzicka, Jolanta; Chen, Shanzhen [University of Manchester (United Kingdom)

2016-07-01

Charge-Parity (CP) violation is a known part of the Standard Model and has been observed and measured in both the B and K meson systems. The observed levels, however, are insufficient to explain the observed matter-antimatter asymmetry in the Universe, and so other sources need to be found. One area of current investigation is the D meson system, where predicted levels of CP violation are much lower than in the B and K meson systems. This means that more sensitive methods are required when searching for CP violation in this system. Several unbinned model independent methods have been proposed for this purpose, all of which need to be optimised and their sensitivities compared.

Women with clomiphene citrate resistant polycystic ovarian disease: predictors of spontaneous ovulation after laparoscopic ovarian drilling.

Science.gov (United States)

Abuelghar, Wessam M; Bayoumy, Hassan A; Ellaithy, Mohamed I; Khalil, Marian S

2014-04-01

To evaluate the role of different clinical, biochemical and sonographic factors as predictors of spontaneous ovulation after laparoscopic ovarian drilling (LOD) in women with clomiphene citrate resistant polycystic ovarian disease (CCR-PCOD). This prospective study recruited 251 infertile women with CCR-PCOD. Several clinical, biochemical and sonographic criteria were tested as possible predictors of spontaneous ovulation after LOD using multivariate analysis. Women with higher preoperative levels of LH, FSH and/or androstenedione had significantly higher rates of spontaneous ovulation within the first eight weeks after LOD, but only FSH and androstenedione were found to be independent predictors. Other factors including age, BMI, type of infertility, duration of infertility, menstrual pattern, testosterone level, ovarian volume and SHBG were insignificant predictors. Receiver-operating characteristic (ROC) curves derived from FSH, LH, androstenedione, and a logistic regression model showed that the best cut-off values were 4.1IU/l, 7.8IU/l, 1.2ng/ml, and 0.4897, respectively, with sensitivity of 91.18%, 100%, 73.53%, and 88.24% and specificity of 69.57%, 69.57%, 65.22%, and 73.91% for FSH, LH, androstenedione, and logistic regression model respectively. An extended follow up (9 months after LOD) was conducted for the anovulatory and the non-pregnant ovulatory women, who were treated individually according to their clinical situation. Of these women, 53.5% (69/129) got pregnant, resulting in a cumulative pregnancy rate of 48% (82/171). Of these pregnancies, 16/82 (19.5%) were spontaneous while 35.4% (29/82) and 45.1% (37/82) occurred after ovulation induction by CC and gonadotropins, respectively. This study supports the use of androstenedione, LH and FSH as a simple reliable tool in triaging patients with CCR-PCOD to select the ideal candidates for LOD. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

A tool for efficient, model-independent management optimization under uncertainty

Science.gov (United States)

White, Jeremy; Fienen, Michael N.; Barlow, Paul M.; Welter, Dave E.

2018-01-01

To fill a need for risk-based environmental management optimization, we have developed PESTPP-OPT, a model-independent tool for resource management optimization under uncertainty. PESTPP-OPT solves a sequential linear programming (SLP) problem and also implements (optional) efficient, “on-the-fly” (without user intervention) first-order, second-moment (FOSM) uncertainty techniques to estimate model-derived constraint uncertainty. Combined with a user-specified risk value, the constraint uncertainty estimates are used to form chance-constraints for the SLP solution process, so that any optimal solution includes contributions from model input and observation uncertainty. In this way, a “single answer” that includes uncertainty is yielded from the modeling analysis. PESTPP-OPT uses the familiar PEST/PEST++ model interface protocols, which makes it widely applicable to many modeling analyses. The use of PESTPP-OPT is demonstrated with a synthetic, integrated surface-water/groundwater model. The function and implications of chance constraints for this synthetic model are discussed.

Model-independent constraints on dark matter annihilation in dwarf spheroidal galaxies

OpenAIRE

Boddy, Kimberly K.; Kumar, Jason; Marfatia, Danny; Sandick, Pearl

2018-01-01

We present a general, model-independent formalism for determining bounds on the production of photons in dwarf spheroidal galaxies via dark matter annihilation, applicable to any set of assumptions about dark matter particle physics or astrophysics. As an illustration, we analyze gamma-ray data from the Fermi Large Area Telescope to constrain a variety of nonstandard dark matter models, several of which have not previously been studied in the context of dwarf galaxy searches.

Spatial modelling of marine organisms in Forsmark and Oskarshamn. Including calculation of physical predictor variables

Energy Technology Data Exchange (ETDEWEB)

Carlen, Ida; Nikolopoulos, Anna; Isaeus, Martin (AquaBiota Water Research, Stockholm (SE))

2007-06-15

GIS grids (maps) of marine parameters were created using point data from previous site investigations in the Forsmark and Oskarshamn areas. The proportion of global radiation reaching the sea bottom in Forsmark and Oskarshamn was calculated in ArcView, using Secchi depth measurements and the digital elevation models for the respective area. The number of days per year when the incoming light exceeds 5 MJ/m2 at the bottom was then calculated using the result of the previous calculations together with measured global radiation. Existing modelled grid-point data on bottom and pelagic temperature for Forsmark were interpolated to create surface covering grids. Bottom and pelagic temperature grids for Oskarshamn were calculated using point measurements to achieve yearly averages for a few points and then using regressions with existing grids to create new maps. Phytoplankton primary production in Forsmark was calculated using point measurements of chlorophyll and irradiance, and a regression with a modelled grid of Secchi depth. Distribution of biomass of macrophyte communities in Forsmark and Oskarshamn was calculated using spatial modelling in GRASP, based on field data from previous surveys. Physical parameters such as those described above were used as predictor variables. Distribution of biomass of different functional groups of fish in Forsmark was calculated using spatial modelling based on previous surveys and with predictor variables such as physical parameters and results from macrophyte modelling. All results are presented as maps in the report. The quality of the modelled predictions varies as a consequence of the quality and amount of the input data, the ecology and knowledge of the predicted phenomena, and by the modelling technique used. A substantial part of the variation is not described by the models, which should be expected for biological modelling. Therefore, the resulting grids should be used with caution and with this uncertainty kept in mind. All

Spatial modelling of marine organisms in Forsmark and Oskarshamn. Including calculation of physical predictor variables

International Nuclear Information System (INIS)

Carlen, Ida; Nikolopoulos, Anna; Isaeus, Martin

2007-06-01

GIS grids (maps) of marine parameters were created using point data from previous site investigations in the Forsmark and Oskarshamn areas. The proportion of global radiation reaching the sea bottom in Forsmark and Oskarshamn was calculated in ArcView, using Secchi depth measurements and the digital elevation models for the respective area. The number of days per year when the incoming light exceeds 5 MJ/m2 at the bottom was then calculated using the result of the previous calculations together with measured global radiation. Existing modelled grid-point data on bottom and pelagic temperature for Forsmark were interpolated to create surface covering grids. Bottom and pelagic temperature grids for Oskarshamn were calculated using point measurements to achieve yearly averages for a few points and then using regressions with existing grids to create new maps. Phytoplankton primary production in Forsmark was calculated using point measurements of chlorophyll and irradiance, and a regression with a modelled grid of Secchi depth. Distribution of biomass of macrophyte communities in Forsmark and Oskarshamn was calculated using spatial modelling in GRASP, based on field data from previous surveys. Physical parameters such as those described above were used as predictor variables. Distribution of biomass of different functional groups of fish in Forsmark was calculated using spatial modelling based on previous surveys and with predictor variables such as physical parameters and results from macrophyte modelling. All results are presented as maps in the report. The quality of the modelled predictions varies as a consequence of the quality and amount of the input data, the ecology and knowledge of the predicted phenomena, and by the modelling technique used. A substantial part of the variation is not described by the models, which should be expected for biological modelling. Therefore, the resulting grids should be used with caution and with this uncertainty kept in mind. All

A model for rate-dependent but time-independent material behavior in cyclic plasticity

International Nuclear Information System (INIS)

Dafalias, Y.F.; Ramey, M.R.; Sheikh, I.

1977-01-01

This paper presents a model for rate-dependent but time independent material behavior under cyclic loading in the plastic range. What is referred to as time independent behavior here, is the absence of creep and relaxation phenomena from the behavior of the model. The notion of plastic internal variables (piv) is introduced, as properly invariant scalars or second order tensors, whose constitutive relations are rate-type equations not necessarily homogeneous of order one in the rates, as it would be required for independent plasticity. The concept of a yield surface in the strain space and a loading function in terms of the total strain rate is introduced, where the sign of the loading function defines zero or non-zero value of the rate of piv. Thus rate dependence is achieved without time dependent behaviour (no creep or relaxation). In addition, discrete memory parameters associated with the most recent event of unloading-reloading in different directions enter the constitutive relations for the piv. (Auth.)

Clinical predictors of the leading pathogens in human immunodeficiency virus-infected adults with community-onset bacteremia in the emergency department: The importance of transmission routes

Directory of Open Access Journals (Sweden)

Ching-Chi Lee

2018-06-01

Conclusion: Focusing on the two key pathogens in HIV-infected adults with community-onset bacteremia, IDU was one of independent predictors associated with S. aureus infection, whereas MSM was the leading risk factor of S. enterica infection. Although the proposed predictive model of these pathogens has been not established, a scoring system involving the transmission risk of HIV may be of use for the early identification of these patients for clinicians.

The independent relationship between triglycerides and coronary heart disease

OpenAIRE

Alan Morrison, John E Hokanson

2008-01-01

Alan Morrison1, John E Hokanson21SCRIBCO, Blue Bell, PA, USA; 2Department of Epidemiology, Colorado School of Public Health, University of Colorado at Denver Denver, CO, USAAims: The aim was to review epidemiologic studies to reassess whether serum levels of triglycerides should be considered independently of high-density lipoprotein-cholesterol (HDL-C) as a predictor of coronary heart disease (CHD).Methods and results: We systematically reviewed population-based cohort studies in which basel...

Development of an Upper Extremity Function Measurement Model.

Science.gov (United States)

Hong, Ickpyo; Simpson, Annie N; Li, Chih-Ying; Velozo, Craig A

This study demonstrated the development of a measurement model for gross upper-extremity function (GUE). The dependent variable was the Rasch calibration of the 27 ICF-GUE test items. The predictors were object weight, lifting distance from floor, carrying, and lifting. Multiple regression was used to investigate the contribution that each independent variable makes to the model with 203 outpatients. Object weight and lifting distance were the only statistically and clinically significant independent variables in the model, accounting for 83% of the variance (p model indicates that, with each one pound increase in object weight, item challenge increases by 0.16 (p measurement model for the ICF-GUE can be explained by object weight and distance lifted from the floor.

Predictors of abnormal chest CT after blunt trauma: a critical appraisal of the literature.

NARCIS (Netherlands)

Brink, M.; Kool, D.R.; Dekker, H.M.; Deunk, J.; Jager, G.J.; Kuijk, C. van; Edwards, M.J.R.; Blickman, J.G.

2009-01-01

AIM: To identify and to evaluate predictors that determine whether chest computed tomography (CT) is likely to reveal relevant injuries in adult blunt trauma patients. METHODS: After a comprehensive literature search for original studies on blunt chest injury diagnosis, two independent observers

Predictors of early mortality in a cohort of HIV-infected children receiving high active antiretroviral treatment in public hospitals in Ethiopia.

Science.gov (United States)

Ebissa, Getachew; Deyessa, Negusse; Biadgilign, Sibhatu

2015-01-01

Highly active antiretroviral therapy (HAART) is the breakthrough in care and treatment of people living with HIV, leading to a reduction in mortality and an improvement in the quality of life. Without antiretroviral treatment, most HIV-infected children die before their fifth birthday. So the objective of this study is to determine the mortality and associated factors in a cohort of HIV-infected children receiving ART in Ethiopia. A multicentre facility-based retrospective cohort study was done in selected pediatric ART units in hospitals found in Addis Ababa, Ethiopia. The probability of survival was estimated using the Kaplan-Meier method, and multivariate analysis by Cox proportional hazards regression models was conducted to determine the independent predictor of survival. A total of 556 children were included in this study. Of the total children, 10.4% were died in the overall cohort. More deaths (70%) occurred in the first 6 months of ART initiation, and the remaining others were still on follow-up at different hospitals. Underweight (moderate and severe; HR: 10.10; 95% CI: 2.08, 28.00; P = 0.004; and HR: 46.69; 95% CI: 9.26, 200.45; P ART adherence (HR: 11.72; 95% CI: 1.60, 48.44; P = 0.015), and hemoglobin level less than 7 g/dl (HR: 4.08: 95% CI: 1.33, 12.56; P = 0.014) were confirmed as significant independent predictors of death after controlling for other factors. Underweight, advanced disease stage, poor adherence to ART, and anemia appear to be independent predictor of survival in HIV-infected children receiving HAART at the pediatric units of public hospitals in Ethiopia. Nutritional supplementations, early initiation of HAART, close supervision, and monitoring of patients during the first 6 months, the follow up period is recommended.

Predictors of length of stay in a ward for demented elderly: gender differences.

Science.gov (United States)

Ono, Toshiyuki; Tamai, Akira; Takeuchi, Daisuke; Tamai, Yuzuru; Iseki, Hidenori; Fukushima, Hiromi; Kasahara, Sumie

2010-09-01

In our previous studies, we found both gender differences among care recipients and predictors that influenced outcomes after discharge from a ward for demented elderly. Here, we investigate predictors that influence the length of stay for each sex. We studied the data of 390 patients with dementia who were hospitalized in a ward for demented elderly between 1 April 2000 and 31 March 2008, and treated until 31 March 2009. The patients were divided into groups classified by gender. We analyzed the gender differences of characteristics and evaluated the predictors that influenced the length of stay in the ward for demented elderly using Cox's proportional hazards model. A model using the initial scores of the Revised Hasegawa Dementia Scale (HDS-R), Assessment Scale for Symptoms of Dementia (ASSD) and Nishimura's activity of daily living scale (N-ADL), which were examined on admission, was named Model 1. In Model 1, we checked the effect of each patient's characteristics, except for complications and destinations, on their length of stay. Model 2 used the final scores of HDS-R, ASSD and N-ADL including complications and destinations. There was a clear gender difference in the length of stay. The length of stay of women was longer than that of men. It was difficult to predict the length of stay in Model 1. Age was the only predictor in women and no predictor was identified in men. In Model 2, complications and the final HDS-R and N-ADL scores were predictors of the length of stay in men. Age, complications and destinations were predictors of the length of stay in women. It was observed that there were gender differences among predictors of the length of stay. However, it was difficult to predict the length of stay on admission. Retrospectively, the length of stay was determined by physical and psychological conditions, not by the social variables in men. In women, it was supposed that the caregiver's wish to give care at home reduced the length of stay. Besides

Predictors of the peak width for networks with exponential links

Science.gov (United States)

Troutman, B.M.; Karlinger, M.R.

1989-01-01

We investigate optimal predictors of the peak (S) and distance to peak (T) of the width function of drainage networks under the assumption that the networks are topologically random with independent and exponentially distributed link lengths. Analytical results are derived using the fact that, under these assumptions, the width function is a homogeneous Markov birth-death process. In particular, exact expressions are derived for the asymptotic conditional expectations of S and T given network magnitude N and given mainstream length H. In addition, a simulation study is performed to examine various predictors of S and T, including N, H, and basin morphometric properties; non-asymptotic conditional expectations and variances are estimated. The best single predictor of S is N, of T is H, and of the scaled peak (S divided by the area under the width function) is H. Finally, expressions tested on a set of drainage basins from the state of Wyoming perform reasonably well in predicting S and T despite probable violations of the original assumptions. ?? 1989 Springer-Verlag.

Economic trends of tokamak power plants independent of physics scaling models

International Nuclear Information System (INIS)

Reid, R.L.; Steiner, D.

1978-01-01

This study examines the effects of plasma radius, field on axis, plasma impurity level, and aspect ratio on power level and unit capital cost, $/kW/sub e/, of tokamak power plants sized independent of plasma physics scaling models. It is noted that tokamaks sized in this manner are thermally unstable based on trapped particle scaling relationships. It is observed that there is an economic advantage for larger power level tokamaks achieved by physics independent sizing; however, the incentive for increased power levels is less than that for fission reactors. It is further observed that the economic advantage of these larger power level tokamaks is decreased when plasma thermal stability measures are incorporated, such as by increasing the plasma impurity concentration. This trend of economy with size obtained by physics independent sizing is opposite to that observed when the tokamak designs are constrained to obey the trapped particle and empirical scaling relationships

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.

The predictors of absenteeism due to psychological disability: a longitudinal study in the education sector.

Science.gov (United States)

Negrini, Alessia; Perron, Jacques; Corbière, Marc

2014-01-01

Being absent from work because of a psychological disability is costly for both individuals and organizations and frequent in employees working in the field of education. Absenteeism from work has been mostly studied as an organizational withdrawal behavior related to negative factors. The purpose of this longitudinal study is to define the predictors of absenteeism due to psychological disability by taking into account resources, such as Self-determined work motivation and Subjective well-being, as well as symptoms of Psychological distress. The sample consisted of 261 employees from a Canadian public school organization. Independent sample t-tests were conducted to compare the mean scores of participants who were not absent from work and participants who were absent due to psychological disability. Logistic regression analyses were computed for the dependent variable to assess the contribution of the three independent variables. Participants who were absent from work due to psychological disability in the year following the data collection scored significantly lower on resources, and higher on symptoms than those participants who were not absent. The three-predictor model was found to be significant. However, only Self-determined work motivation and Psychological distress significantly predicted absenteeism due to psychological disability. Results are discussed in terms of psychological processes regulating the relationships between the work-related factors (i.e., work motivation) and life-related factors (i.e., psychological distress and subjective well-being) of personal adjustment and accomplishment.

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...

Cohort-Based Identification of Predictors of Symptomatic Intracerebral Hemorrhage After IV Thrombolysis.

Science.gov (United States)

Asuzu, David; Nyström, Karin; Amin, Hardik; Schindler, Joseph; Wira, Charles; Greer, David; Chi, Nai Fang; Halliday, Janet; Sheth, Kevin N

2015-12-01

Symptomatic intracranial hemorrhage (sICH) is a serious complication of IV rt-PA therapy after acute ischemic stroke. Independent sICH predictors have been previously derived using case-control studies. Here we utilized a novel cohort-based comparison to identify additional independent predictors of sICH. We included 210 patients receiving IV rt-PA therapy from January 2009 through December 2013 at the Yale-New Haven Stroke Center. Clinical parameters were compared using Mann-Whitney tests, two-sample tests of proportions and two-sample t tests. Logistic regression was performed using sICH as the dependent variable. Predictive ability was assessed using areas under the receiver operating characteristic (ROC) curve. sICH rates were lowest from 2010 to 2012 and comprised the low sICH cohort (2.0 % sICH), compared to the high sICH cohort from 2009 to 2013 (9.2 % sICH, P = 0.025). Patients in the low sICH cohort had significantly more visual field deficits (38.6 vs. 24.8 %, P = 0.03) and decreased levels of consciousness (62.4 vs. 39.4 %, P vs. 13.8 %, P = 0.03) and early CT hypodensities (14.9 vs. 29.4 %, P = 0.01). These four parameters together predicted sICH modestly (area under ROC curve 0.66, odds ratio 2.72, P = 0.03) CONCLUSIONS: Using a novel cohort-based approach, we identified two new independent predictors of sICH after IV rt-PA therapy: the presence of the hyperdense MCA sign and early CT hypodensities. Novel methods are needed to reduce the risk of sICH for patients receiving antithrombolytic therapy for ischemic stroke.

Model-independent study of light cone current commutators

International Nuclear Information System (INIS)

Gautam, S.R.; Dicus, D.A.

1974-01-01

An attempt is made to extract information on the nature of light cone current commutators (L. C. C.) in a model independent manner. Using simple assumptions on the validity of the DGS representation for the structure functions of deep inelastic scattering and using the Bjorken--Johnston--Low theorem it is shown that in principle the L. C. C. may be constructed knowing the experimental electron--proton scattering data. On the other hand the scaling behavior of the structure functions is utilized to study the consistency of a vanishing value for various L. C. C. under mild assumptions on the behavior of the DGS spectral moments. (U.S.)

Predictors of Paravalvular Regurgitation After Implantation of the Fully Repositionable and Retrievable Lotus Transcatheter Aortic Valve (from the REPRISE II Trial Extended Cohort).

Science.gov (United States)

Blackman, Daniel J; Meredith, Ian T; Dumonteil, Nicolas; Tchétché, Didier; Hildick-Smith, David; Spence, Mark S; Walters, Darren L; Harnek, Jan; Worthley, Stephen G; Rioufol, Gilles; Lefèvre, Thierry; Houle, Vicki M; Allocco, Dominic J; Dawkins, Keith D

2017-07-15

Paravalvular leak (PVL) after transcatheter aortic valve replacement is associated with worse long-term outcomes. The Lotus Valve incorporates an innovative Adaptive Seal designed to minimize PVL. This analysis evaluated the incidence and predictors of PVL after implantation of the Lotus transcatheter aortic valve. The REPRISE II (REpositionable Percutaneous Replacement of Stenotic Aortic Valve through Implantation of Lotus Valve System - Evaluation of Safety and Performance) Study With Extended Cohort enrolled 250 high-surgical risk patients with severe symptomatic aortic stenosis. Aortic regurgitation was assessed by echocardiography pre-procedure, at discharge and 30 days, by an independent core laboratory. Baseline and procedural predictors of mild or greater PVL at 30 days (or at discharge if 30-day data were not available) were determined using a multivariate regression model (n = 229). Of the 229 patients, 197 (86%) had no/trace PVL, 30 had mild, and 2 had moderate PVL; no patient had severe PVL. Significant predictors of mild/moderate PVL included device:annulus area ratio (odds ratio [OR] 0.87; 95% CI 0.83 to 0.92; p 10% annular oversizing by area were 17.5% (11 of 63), 2.9% (2 of 70), and 3.2% (2 of 63), respectively. Significant independent predictors of PVL included device:annulus area ratio and left ventricular outflow tract calcium volume. When the prosthetic valve was oversized by ≥5%, the rate of mild or greater PVL was only 3%. In conclusion, the overall rates of PVL with the Lotus Valve are low and predominantly related to device/annulus areas and calcium; these findings have implications for optimal device sizing. Copyright © 2017 Elsevier Inc. All rights reserved.

Hypoglycemia in pregnant women with type 1 diabetes - Predictors and role of metabolic control

DEFF Research Database (Denmark)

Nielsen, L.R.; Johansen, M.; Pedersen-Bjergaard, U.

2008-01-01

OBJECTIVE- In pregnancy with type 1 diabetes, we evaluated occurrence of mild and severe hypoglycemia and analyzed the influence of strict metabolic control, nausea, Vomiting, and other potential predictors of occurrence of severe hypoglycemia. RESEARCH DESIGN AND METHODS- A prospective...... awareness or unawareness (3.2 [1.2-8.2]) as independent predictors for severe hypoglycemia. CONCLUSIONS - In pregnancy with type 1 diabetes, the incidence of mild and severe hypoglycemia was highest in early pregnancy, although metabolic control was tighter in the last part of pregnancy. Predictors...... observational study of 108 consecutive pregnant women with type 1 diabetes was conducted. At 8, 14, 21, 27, and 33 weeks of gestation, patients performed self-monitored plasma glucose (SMPG) (eight/day) for 3 days and completed a questionnaire on nausea, vomiting, hypoglycemia awareness, and history of mild...

Personality variables as predictors of early non-metastatic colorectal cancer patients' psychological distress and health-related quality of life: a one-year prospective study.

Science.gov (United States)

Hyphantis, Thomas; Paika, Vassiliki; Almyroudi, Augoustina; Kampletsas, Eleftherios O; Pavlidis, Nicholas

2011-05-01

We aimed to assess the course of early non-metastatic colorectal cancer patients' psychological distress and health-related quality of life (HRQOL) and to identify relevant clinical and psychological predictors during a one-year period. Of the 144 early non-metastatic colorectal cancer patients initially assessed for psychological distress symptoms (SCL-90-R), HRQOL (WHOQOL-BREF), sense of coherence (SOC), defense mechanisms (LSI) and hostility (HDHQ), 84 (58.3%) completed the one-year follow-up. Mean (SD) age was 65.1 (9.8) years and 67.4% were male. Mean (SD) disease duration was 1.7 (2.2) years, with 49.3% being diagnosed within the last six months. In 75.0% the site was at colon and in 25.0% at rectum; 2.1% had stage I, 59.0% stage II and 38.9% stage III disease. Paranoid ideation, psychoticism, interpersonal sensitivity, anxiety and depressive symptoms increased significantly over the one-year period of the study and most of the HRQOL components were significantly decreased over the same period. Men were at greater risk for further developing depressive symptomatology. Low SOC was independent predictor of depression, while hostility independently predicted anxiety, interpersonal sensitivity and psychoticism symptoms. General psychological distress and low SOC were independent predictors of HRQOL, while repression was also an independent predictor of Physical HRQOL. In early non-metastatic colorectal cancer patients, psychological distress symptoms are increased and HRQOL is decreased over one-year period. Symptoms of psychological distress are strong predictors of HRQOL, while personality variables can also predict psychological distress symptoms' increase and HRQOL decrease over time, and this could be relevant to psychological interventions. Copyright © 2010 Elsevier Inc. All rights reserved.

Exploring patient satisfaction predictors in relation to a theoretical model.

Science.gov (United States)

Grøndahl, Vigdis Abrahamsen; Hall-Lord, Marie Louise; Karlsson, Ingela; Appelgren, Jari; Wilde-Larsson, Bodil

2013-01-01

The aim is to describe patients' care quality perceptions and satisfaction and to explore potential patient satisfaction predictors as person-related conditions, external objective care conditions and patients' perception of actual care received ("PR") in relation to a theoretical model. A cross-sectional design was used. Data were collected using one questionnaire combining questions from four instruments: Quality from patients' perspective; Sense of coherence; Big five personality trait; and Emotional stress reaction questionnaire (ESRQ), together with questions from previous research. In total, 528 patients (83.7 per cent response rate) from eight medical, three surgical and one medical/surgical ward in five Norwegian hospitals participated. Answers from 373 respondents with complete ESRQ questionnaires were analysed. Sequential multiple regression analysis with ESRQ as dependent variable was run in three steps: person-related conditions, external objective care conditions, and PR (p person-related conditions) explained 51.7 per cent of the ESRQ variance. Step 2 (external objective care conditions) explained an additional 2.4 per cent. Step 3 (PR) gave no significant additional explanation (0.05 per cent). Steps 1 and 2 contributed statistical significance to the model. Patients rated both quality-of-care and satisfaction highly. The paper shows that the theoretical model using an emotion-oriented approach to assess patient satisfaction can explain 54 per cent of patient satisfaction in a statistically significant manner.

Text-Independent Speaker Identification Using the Histogram Transform Model

DEFF Research Database (Denmark)

Ma, Zhanyu; Yu, Hong; Tan, Zheng-Hua

2016-01-01

In this paper, we propose a novel probabilistic method for the task of text-independent speaker identification (SI). In order to capture the dynamic information during SI, we design a super-MFCCs features by cascading three neighboring Mel-frequency Cepstral coefficients (MFCCs) frames together....... These super-MFCC vectors are utilized for probabilistic model training such that the speaker’s characteristics can be sufficiently captured. The probability density function (PDF) of the aforementioned super-MFCCs features is estimated by the recently proposed histogram transform (HT) method. To recedes...

On the derivation of approximations to cellular automata models and the assumption of independence.

Science.gov (United States)

Davies, K J; Green, J E F; Bean, N G; Binder, B J; Ross, J V

2014-07-01

Cellular automata are discrete agent-based models, generally used in cell-based applications. There is much interest in obtaining continuum models that describe the mean behaviour of the agents in these models. Previously, continuum models have been derived for agents undergoing motility and proliferation processes, however, these models only hold under restricted conditions. In order to narrow down the reason for these restrictions, we explore three possible sources of error in deriving the model. These sources are the choice of limiting arguments, the use of a discrete-time model as opposed to a continuous-time model and the assumption of independence between the state of sites. We present a rigorous analysis in order to gain a greater understanding of the significance of these three issues. By finding a limiting regime that accurately approximates the conservation equation for the cellular automata, we are able to conclude that the inaccuracy between our approximation and the cellular automata is completely based on the assumption of independence. Copyright © 2014 Elsevier Inc. All rights reserved.

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...

Dragon polya spotter: Predictor of poly(A) motifs within human genomic DNA sequences

KAUST Repository

Kalkatawi, Manal M.; Rangkuti, Farania; Schramm, Michael C.; Jankovic, Boris R.; Kamau, Allan; Chowdhary, Rajesh; Archer, John A.C.; Bajic, Vladimir B.

2011-01-01

. These models are trained to recognize 12 most common poly(A) motifs in human DNA. Our predictors are available as a free web-based tool accessible at http://cbrc.kaust.edu.sa/dps. Compared with other reported predictors, our models achieve higher sensitivity

Is serum albumin an independent predictor of post chemotherapy febrile neutropenia?

International Nuclear Information System (INIS)

Saleem, L.; Zahid, N.A.

2017-01-01

Objective: To evaluate the association between serum albumin and risk of post chemotherapy febrile neutropenia. Study Design: Cross sectional study. Place and Duration of Study: Department of oncology, Liaquat National Hospital, from 1st Jan 2015 to 31st Dec 2016. Material and Method: One hundred and sixty-six biopsy proven cancer patients with Eastern cooperative oncology group (ECOG) performance status <2 and without significant co-morbidities received first cycle of chemotherapy during two years study period. Different chemotherapies with moderate to severe risk of FN were used. Patient's pre-treatment serum albumin was measured and patients followed for occurrence of FN. Association between serum albumin and post chemotherapy FN was analyzed. Results: Data of 166 patients was available for final analysis. Post chemotherapy FN was observed in 19.9% (33/166) patients. Pre-chemotherapy serum albumin level was <3.5 mg/dl in (35/166) 21.1% of patients, out of which (15/35) 42.9% developed FN. Serum albumin (p=0.0005) was highly significantly associated with a risk of FN. On analysis of other factors age, gender, body surface area (BSA) and pre-chemotherapy hemoglobin level were not significantly associated with a risk of FN while body mass index (p=0.0005) was found to be associated with risk of FN. Conclusion: Pre-chemotherapy serum albumin levels were found to be statistically significant predictor of postchemotherapy febrile neutropenia.

A conceptual model of independence and dependence for adults with chronic physical illness and disability.

Science.gov (United States)

Gignac, M A; Cott, C

1998-09-01

This paper presents a conceptual model of physical independence and dependence as it relates to adult onset, chronic physical illness and disability. Physical independence and dependence are presented as two separate, continuous, and multiply determined constructs, and illustrations are provided of situations where people can be independent, dependent, not independent, or experience imposed dependence. The paper also discusses potential determinants of physical independence and dependence, including different domains of disability, the role of subjective perceptions, demographics, the physical and social/political environments, personal resources, attitudes and coping resources, illness and efficacy appraisals, and the nature of the assistive relationship. The paper extends work on physical independence and dependence by synthesizing the findings from previous studies and incorporating the findings from other relevant areas of research into the area. It also expands on the concepts of physical independence and dependence, as well as their determinants, and relates independence and dependence to other outcomes of interest such as service delivery.

A 6-year longitudinal study of predictors for suicide attempts in major depressive disorder.

Science.gov (United States)

Eikelenboom, Merijn; Beekman, Aartjan T F; Penninx, Brenda W J H; Smit, Johannes H

2018-06-13

Major depressive disorder (MDD), represent a major source of risk for suicidality. However, knowledge about risk factors for future suicide attempts (SAs) within MDD is limited. The present longitudinal study examined a wide range of putative non-clinical risk factors (demographic, social, lifestyle, personality) and clinical risk factors (depressive and suicidal indicators) for future SAs among persons with MDD. Furthermore, we examined the relationship between a number of significant predictors and the incidence of a future SA. Data are from 1713 persons (18-65 years) with a lifetime MDD at the baseline measurement of the Netherlands Study of Depression and Anxiety who were subsequently followed up 2, 4 and 6 years. SAs were assessed in the face-to-face measurements. Cox proportional hazard regression analyses were used to examine a wide range of possible non-clinical and clinical predictors for subsequent SAs during 6-year follow-up. Over a period of 6 years, 3.4% of the respondents attempted suicide. Younger age, lower education, unemployment, insomnia, antidepressant use, a previous SA and current suicidal thoughts independently predicted a future SA. The number of significant risk factors (ranging from 0 to 7) linearly predicted the incidence of future SAs: in those with 0 predictors the SA incidence was 0%, which increased to 32% incidence in those with 6+ predictors. Of the non-clinical factors, particularly socio-economic factors predicted a SA independently. Furthermore, preexisting suicidal ideation and insomnia appear to be important clinical risk factors for subsequent SA that are open to preventative intervention.

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.

Cardiorespiratory optimal point during exercise testing as a predictor of all-cause mortality.

Science.gov (United States)

Ramos, Plínio S; Araújo, Claudio Gil S

2017-04-01

The cardiorespiratory optimal point (COP) is a novel index, calculated as the minimum oxygen ventilatory equivalent (VE/VO 2 ) obtained during cardiopulmonary exercise testing (CPET). In this study we demonstrate the prognostic value of COP both independently and in combination with maximum oxygen consumption (VO 2 max) in community-dwelling adults. Maximal cycle ergometer CPET was performed in 3331 adults (66% men) aged 40-85 years, healthy (18%) or with chronic disease (81%). COP cut-off values of 30 were selected based on the log-rank test. Risk discrimination was assessed using COP as an independent predictor and combined with VO 2 max. Median follow-up was 6.4 years (7.1% mortality). Subjects with COP >30 demonstrated increased mortality compared to those with COP 30 of 3.72 (95% CI 1.98-6.98; p30, either independently or in combination with low VO 2 max, is a good predictor of all-cause mortality in community-dwelling adults (healthy or with chronic disease). COP is a submaximal prognostic index that is simple to obtain and adds to CPET assessment, especially for adults unable or unwilling to achieve maximal exercise. Copyright © 2017 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.

Knowledge about infection is the only predictor of treatment in patients with chronic hepatitis C.

Science.gov (United States)

Younossi, Z M; Stepanova, M; Afendy, M; Lam, B P; Mishra, A

2013-08-01

HCV is the leading cause of cirrhosis and liver cancer in the U.S. The Center for Disease Control (CDC) has recently recommended 'Birth Cohort Screening' of the U.S. Adult population to reduce the future burden of undiagnosed HCV infections in the U.S. Our aim was to assess independent predictors of receiving treatment in a cohort of HCV-infected patients. The Hepatitis C follow-up questionnaires of the National Health and Nutrition Examination Surveys (NHANES) conducted from 2001 to 2010 were used. The NHANES participants who tested positive for HCV RNA were followed by CDC 6 months after initial testing with questions related to their awareness of their infection and history or intention to receive treatment. A total of 500 NHANES participants tested positive for HCV RNA and were targeted for follow-up. Of these, only 203 had completed the follow-up questionnaire (response rate of 40.6%). Of these, only 101 (50%) knew about their HCV positivity before NHANES, and from them, only 34 (17%) had received treatment. In multivariate analysis, prior knowledge about their HCV infection in HCV-positive individuals was independently associated with receiving routine care from a doctor or HMO, with higher income, female gender, being in poor or fair health and not consuming excessive amounts of alcohol. On the other hand, the knowledge about HCV infection was the only independent predictor of receiving anti-HCV treatment (odds ratio 6.14). Knowledge about having HCV infection is the only independent predictor of receiving treatment. Therefore, birth cohort screening of the U.S. General population could lead to wider identification of HCV and potentially better management of the future burden of HCV and its complications. © 2013 John Wiley & Sons Ltd.

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.

Predictors of Relationship Power among Drug-involved Women

OpenAIRE

Campbell, Aimee N. C.; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V.

2012-01-01

Gender-based relationship power is frequently linked to women’s capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded Sexual Relationship Power Scale (SRPS), among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner a...

Abdominal CT predictors of fibrosis in patients with chronic pancreatitis undergoing surgery

Energy Technology Data Exchange (ETDEWEB)

Sinha, Amitasha; Afghani, Elham [Johns Hopkins Medical Institutions, Division of Gastroenterology, Baltimore, MD (United States); Singh, Vikesh K. [Johns Hopkins Medical Institutions, Division of Gastroenterology, Baltimore, MD (United States); Johns Hopkins Medical Institutions, Pancreatitis Center, Baltimore, MD (United States); Cruise, Michael; Matsukuma, Karen [Johns Hopkins Medical Institutions, Department of Pathology, Baltimore, MD (United States); Ali, Sumera; Raman, Siva P.; Fishman, Elliot K. [Johns Hopkins Medical Institutions, The Russel H. Morgan Department of Radiology and Radiological Science, Baltimore, MD (United States); Andersen, Dana K. [National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD (United States); Makary, Martin A. [Johns Hopkins Medical Institutions, Department of Surgery, Baltimore, MD (United States); Johns Hopkins Medical Institutions, Pancreatitis Center, Baltimore, MD (United States); Zaheer, Atif [Johns Hopkins Medical Institutions, The Russel H. Morgan Department of Radiology and Radiological Science, Baltimore, MD (United States); Johns Hopkins Medical Institutions, Pancreatitis Center, Baltimore, MD (United States); Johns Hopkins Medical Institutions, Baltimore, MD (United States)

2015-05-01

To determine which abdominal CT findings predict severe fibrosis and post-operative pain relief in chronic pancreatitis (CP). Pre-operative abdominal CTs of 66 patients (mean age 52 ± 12 years, 53 % males) with painful CP who underwent the Whipple procedure (n = 32), Frey procedure (n = 32) or pancreatic head biopsy (n = 2), between 1/2003-3/2014, were evaluated. CT was evaluated for parenchymal calcifications, intraductal calculi, main pancreatic duct dilation (>5 mm), main pancreatic duct stricture, and abnormal side branch(es). The surgical histopathology was graded for fibrosis. CT findings were evaluated as predictors of severe fibrosis and post-operative pain relief using regression and area under receiver operating curve (AUC) analysis. Thirty-eight (58 %) patients had severe fibrosis. Parenchymal calcification(s) were an independent predictor of severe fibrosis (p = 0.03), and post-operative pain relief over a mean follow-up of 1-year (p = 0.04). Presence of >10 parenchymal calcifications had higher predictive accuracy for severe fibrosis than 1-10 parenchymal calcification(s) (AUC 0.88 vs. 0.59, p = 0.003). The predictive accuracy of >10 versus 1-10 parenchymal calcifications increased after adjusting for all other CT findings (AUC 0.89 vs. 0.63, p = 0.01). Parenchymal calcification(s) independently predict severe fibrosis and are significantly associated with post-operative pain relief in CP. The presence of >10 parenchymal calcifications is a better predictor of severe fibrosis than 1-10 parenchymal calcification(s). (orig.)

Abdominal CT predictors of fibrosis in patients with chronic pancreatitis undergoing surgery

International Nuclear Information System (INIS)

Sinha, Amitasha; Afghani, Elham; Singh, Vikesh K.; Cruise, Michael; Matsukuma, Karen; Ali, Sumera; Raman, Siva P.; Fishman, Elliot K.; Andersen, Dana K.; Makary, Martin A.; Zaheer, Atif

2015-01-01

To determine which abdominal CT findings predict severe fibrosis and post-operative pain relief in chronic pancreatitis (CP). Pre-operative abdominal CTs of 66 patients (mean age 52 ± 12 years, 53 % males) with painful CP who underwent the Whipple procedure (n = 32), Frey procedure (n = 32) or pancreatic head biopsy (n = 2), between 1/2003-3/2014, were evaluated. CT was evaluated for parenchymal calcifications, intraductal calculi, main pancreatic duct dilation (>5 mm), main pancreatic duct stricture, and abnormal side branch(es). The surgical histopathology was graded for fibrosis. CT findings were evaluated as predictors of severe fibrosis and post-operative pain relief using regression and area under receiver operating curve (AUC) analysis. Thirty-eight (58 %) patients had severe fibrosis. Parenchymal calcification(s) were an independent predictor of severe fibrosis (p = 0.03), and post-operative pain relief over a mean follow-up of 1-year (p = 0.04). Presence of >10 parenchymal calcifications had higher predictive accuracy for severe fibrosis than 1-10 parenchymal calcification(s) (AUC 0.88 vs. 0.59, p = 0.003). The predictive accuracy of >10 versus 1-10 parenchymal calcifications increased after adjusting for all other CT findings (AUC 0.89 vs. 0.63, p = 0.01). Parenchymal calcification(s) independently predict severe fibrosis and are significantly associated with post-operative pain relief in CP. The presence of >10 parenchymal calcifications is a better predictor of severe fibrosis than 1-10 parenchymal calcification(s). (orig.)

Using digital elevation models as an environmental predictor for soil clay contents

DEFF Research Database (Denmark)

Greve, Mogens Humlekrog; Bou Kheir, Rania; Greve, Mette Balslev

2012-01-01

resolution) explained the variability of SCC measurements quasi-similarly (variance V = 60%) to the LIDAR tree models with 24-m (T2) or 90-m (T3) resolution (V = 60% for T2 and 61.5% for T3). The prediction performances (in terms of RMSE) of the produced maps (using these trees) compared with independent...... field observations from the validation data set (9000 sites) were estimated as follows: Map T1, RMSE = 3.57%; Map T2, RMSE = 3.25%; and Map T3, RMSE = 3.15%. The relative improvement of T2 compared with T1 or T3 varied between 8.96 and 11.76%, respectively. Independent validation data also reflected...... higher correlations between measured SCC and SCC predicted from T2 (R2 = 0.60) compared with the other tree models (T1, R2 = 0.56; T3, R2 = 0.54). The modeling results indicate that the SRTM (including derivatives) has less predictive power than the LIDAR DEMs (with different resolutions) for mapping SCC...

Malignant renal cysts: Diagnostic performance and strong predictors at MDCT

International Nuclear Information System (INIS)

Kim, Dae Yoon; Kim, Jeong Kon; Cho, Kyoung-Sik; Min, Gyeong-Eun; Ahn, Han-Jong

2010-01-01

Background: Utilization of multidetector-row CT (MDCT) is anticipated to improve the diagnostic accuracy and reliability for determining malignant cysts. Purpose: To assess the diagnostic accuracy, interobserver agreement, benefit of consensus reading, and strong predictors of malignancy in determining malignant cystic renal masses at MDCT. Material and Methods: Two radiologists independently rated the probability of malignancy at MDCT in 72 benign and 53 malignant cysts. The accuracy and interobserver agreement for determining malignant cysts were evaluated. The strong predictors of malignancy were determined, and in patients with interobserver disagreement for determining malignant cysts, consensus readings were performed. Results: Az value of the two readers was 0.905-0.936 and the sensitivity and specificity were 85-89% and 83-93%, respectively. The overall interobserver agreement for determining the malignant cyst was good as the κ value was 0.696 (% agreement, 61% (76/125)). Thickened irregular wall, thickened irregular septa, and enhancing soft tissue component were strong predictors for malignancy with both readers. In the 17 patients with interobserver disagreement for determining malignant cysts, the sensitivity was improved from 38-63% to 89% by the consensus reading. Conclusion: At MDCT, some false negative decisions for determining malignant cysts can be corrected by consensus reading, and thickened irregular septa, thickened irregular wall, and enhancing soft tissue component are the strong predictors of malignant cysts

Statistical downscaling based on dynamically downscaled predictors: Application to monthly precipitation in Sweden

Science.gov (United States)

Hellström, Cecilia; Chen, Deliang

2003-11-01

A prerequisite of a successful statistical downscaling is that large-scale predictors simulated by the General Circulation Model (GCM) must be realistic. It is assumed here that features smaller than the GCM resolution are important in determining the realism of the large-scale predictors. It is tested whether a three-step method can improve conventional one-step statistical downscaling. The method uses predictors that are upscaled from a dynamical downscaling instead of predictors taken directly from a GCM simulation. The method is applied to downscaling of monthly precipitation in Sweden. The statistical model used is a multiple regression model that uses indices of large-scale atmospheric circulation and 850-hPa specific humidity as predictors. Data from two GCMs (HadCM2 and ECHAM4) and two RCM experiments of the Rossby Centre model (RCA1) driven by the GCMs are used. It is found that upscaled RCA1 predictors capture the seasonal cycle better than those from the GCMs, and hence increase the reliability of the downscaled precipitation. However, there are only slight improvements in the simulation of the seasonal cycle of downscaled precipitation. Due to the cost of the method and the limited improvements in the downscaling results, the three-step method is not justified to replace the one-step method for downscaling of Swedish precipitation.

Recovery of Work-Related Stress: Complaint Reduction and Work-Resumption are Relatively Independent Processes.

Science.gov (United States)

de Vente, Wieke; Kamphuis, Jan Henk; Blonk, Roland W B; Emmelkamp, Paul M G

2015-09-01

The process of recovery from work-related stress, consisting of complaint reduction and work-resumption, is not yet fully understood. The aim of this study was to investigate predictors of complaint reduction and work-resumption, as well as testing complaint reduction as a mediator in the association between predictors and work-resumption. Seventy-one patients on sickness-leave because of work-related stress complaints were followed over a period of 13 months. Predictors comprised personal (demographics, coping, cognitions), work-related (job-characteristics, social support), and illness-related (complaint duration, absence duration) variables. Dependent variables were distress complaints, burnout complaints, and work-resumption. Complaints reduced considerably over time to borderline clinical levels and work-resumption increased to 68% at 13 months. Predictors of stronger reduction of distress complaints were male gender, less working hours, less decision authority, more co-worker support, and shorter absence duration. Predictors of stronger reduction of burnout complaints were male gender, lower age, high education, less avoidant coping, less decision authority, more job security, and more co-worker support. Predictors of work-resumption were lower age and stronger reduction of burnout complaints. No indication for a mediating role of burnout complaints between the predictor age and work-resumption was found. Complaint reduction and work-resumption are relatively independent processes. Symptom reduction is influenced by individual and work-related characteristics, which holds promise for a multidisciplinary treatment approach for work-related stress.

Self-rated versus Caregiver-rated Health for Patients with Mild Dementia as Predictors of Patient Mortality

DEFF Research Database (Denmark)

Phung, Thien Kieu Thi; Siersma, Volkert; Vogel, Asmus

2018-01-01

OBJECTIVE: Self-assessment of health is a strong and independent predictor of mortality for cognitively intact people. Because the ability of patients with dementia to rate their own health is questionable, caregiver-rated health for patients may serve as a proxy. The authors aimed to validate...... and compare self- and caregiver-rated health for patients with dementia as independent predictors of patient mortality. METHODS: This was a post-hoc analysis of data from The Danish Alzheimer's Disease Intervention Study, a randomized controlled trial of psychosocial intervention for 330 patients with mild...... dementia and their caregivers with a 36-month follow-up. Patients and caregivers rated patients' health on the Euro Quality of Life Visual Analog Scale (EQ-VAS) from 0 (worst) to 100 (best). The ability of self- and caregiver-rated health for the patient to predict patient mortality was analyzed as hazard...

Phase advance and β function measurements using model-independent analysis

OpenAIRE

Chun-xi Wang; Vadim Sajaev; Chih-Yuan Yao

2003-01-01

Phase advance and β function are basic lattice functions characterizing the linear properties of an accelerator lattice. Accurate and efficient measurements of these quantities are important for commissioning and operating a machine. For rings with little coupling, we report a new method to measure these lattice functions based on the model-independent analysis technique, which uses beam histories of excited betatron oscillations measured simultaneously at a large number of beam position moni...

Predictors for health facility delivery in Busia district of Uganda: a cross sectional study

Directory of Open Access Journals (Sweden)

Anyait Agnes

2012-11-01

Full Text Available Abstract Background Among the factors contributing to the high maternal morbidity and mortality in Uganda is the high proportion of pregnant women who do not deliver under supervision in health facilities. This study aimed to identify the independent predictors of health facility delivery in Busia a rural district in Uganda with a view of suggesting measures for remedial action. Methods In a cross sectional survey, 500 women who had a delivery in the past two years (from November 16 2005 to November 15 2007 were interviewed regarding place of delivery, demographic characteristics, reproductive history, attendance for antenatal care, accessibility of health services, preferred delivery positions, preference for disposal of placenta and mother’s autonomy in decision making. In addition the household socio economic status was assessed. The independent predictors of health facility delivery were identified by comparing women who delivered in health facilities to those who did not, using bivariate and binary logistic regression analysis. Results Eight independent predictors that favoured delivery in a health facility include: being of high socio-economic status (adjusted odds ratio [AOR] 2.8 95% Confidence interval [95% CI]1.2–6.3, previous difficult delivery (AOR 4.2, 95% CI 3.0–8.0, parity less than four (AOR 2.9, 95% CI 1.6–5.6, preference of supine position for second stage of labour (AOR 5.9, 95% CI 3.5–11.1 preferring health workers to dispose the placenta (AOR 12.1, 95% CI 4.3–34.1, not having difficulty with transport (AOR 2.0, 95% CI 1.2–3.5, being autonomous in decision to attend antenatal care (AOR 1.9, 95% CI 1.1–3.4 and depending on other people (e.g. spouse in making a decision of where to deliver from (AOR 2.4, 95% CI 1.4–4.6. A model with these 8 variables had an overall correct classification of 81.4% (chi square = 230.3, P  Conclusions These data suggest that in order to increase health facility deliveries

Predictors of intention to smoke among junior high school students in Shanghai, China: an empirical test of the information-motivation-behavioral skills (IMB) model.

Science.gov (United States)

Zhu, Chendi; Cai, Yong; Ma, Jin; Li, Na; Zhu, Jingfen; He, Yaping; Redmon, Pamela; Qiao, Yun

2013-01-01

Adolescent smoking is a worldwide problem that is particularly severe in low- and middle-income countries. Many endogenous and environmental factors affect the intention to smoke, so a comprehensive model is needed to understand the significance and relationship of predictors. The study aimed to test the associations among information-motivation-behavioral skills (IMB) model constructs as predictors of intention to smoke in junior high school students in Shanghai, China. We conducted a cross-sectional study of 16,500 junior high school students in Shanghai, China. Data on tobacco-related information, motivation, behavioral skills, and behaviors were collected from students. Structural equation model (SEM) was used to assess the IMB model. The mean age of participants was 13.8 years old (standard deviation = 1.02; range 11-17). The experimental smoking rate among junior high school students was 6.6% and 8.7% of the participants expected that they would be smokers in 5 years. The IMB model provided acceptable fit to the data (comparative fit index = 0.984, root mean square error of approximation = 0.04). Intention to smoke was predicted by behavioral skills (β = 0.670, P motivation (β = 0.095, Pschool students. The IMB model provides a good understanding of the predictors of intention to smoke and it suggests future interventions among junior high school students should focus on improving motivation and behavioral skills.

Predictors of Poststroke Health-Related Quality of Life in Nigerian Stroke Survivors: A 1-Year Follow-Up Study

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Ashiru Mohammad Hamza

2014-01-01

Full Text Available This study aims to identify the predictors in the different aspects of the health-related quality of life (HRQoL and to measure the changes of functional status over time in a cohort of Nigerian stroke survivors. A prospective observational study was conducted in three hospitals of Kano state of Nigeria where stroke survivors receive rehabilitation. The linguistic-validated Hausa versions of the stroke impact scale 3.0, modified Rankin scale, Barthel index and Beck depression inventory scales were used. Paired samples t-test was used to calculate the amount of changes that occur over time and the forward stepwise linear regression model was used to identify the predictors. A total of 233 stroke survivors were surveyed at 6 months, and 93% (217/233 were followed at 1 year after stroke. Functional disabilities were significantly reduced during the recovery phase. Motor impairment, disability, and level of depression were independent predictors of HRQoL in the multivariate regression analysis. The involvement of family members as caregivers is the key factor for those survivors with improved functional status. Thus, to enhance the quality of poststroke life, it is proposed that a holistic stroke rehabilitation service and an active involvement of family members are established at every possible level.

Antimicrobial combinations: Bliss independence and Loewe additivity derived from mechanistic multi-hit models

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Yu, Guozhi; Hozé, Nathanaël; Rolff, Jens

2016-01-01

Antimicrobial peptides (AMPs) and antibiotics reduce the net growth rate of bacterial populations they target. It is relevant to understand if effects of multiple antimicrobials are synergistic or antagonistic, in particular for AMP responses, because naturally occurring responses involve multiple AMPs. There are several competing proposals describing how multiple types of antimicrobials add up when applied in combination, such as Loewe additivity or Bliss independence. These additivity terms are defined ad hoc from abstract principles explaining the supposed interaction between the antimicrobials. Here, we link these ad hoc combination terms to a mathematical model that represents the dynamics of antimicrobial molecules hitting targets on bacterial cells. In this multi-hit model, bacteria are killed when a certain number of targets are hit by antimicrobials. Using this bottom-up approach reveals that Bliss independence should be the model of choice if no interaction between antimicrobial molecules is expected. Loewe additivity, on the other hand, describes scenarios in which antimicrobials affect the same components of the cell, i.e. are not acting independently. While our approach idealizes the dynamics of antimicrobials, it provides a conceptual underpinning of the additivity terms. The choice of the additivity term is essential to determine synergy or antagonism of antimicrobials. This article is part of the themed issue ‘Evolutionary ecology of arthropod antimicrobial peptides’. PMID:27160596

Antimicrobial combinations: Bliss independence and Loewe additivity derived from mechanistic multi-hit models.

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Baeder, Desiree Y; Yu, Guozhi; Hozé, Nathanaël; Rolff, Jens; Regoes, Roland R

2016-05-26

Antimicrobial peptides (AMPs) and antibiotics reduce the net growth rate of bacterial populations they target. It is relevant to understand if effects of multiple antimicrobials are synergistic or antagonistic, in particular for AMP responses, because naturally occurring responses involve multiple AMPs. There are several competing proposals describing how multiple types of antimicrobials add up when applied in combination, such as Loewe additivity or Bliss independence. These additivity terms are defined ad hoc from abstract principles explaining the supposed interaction between the antimicrobials. Here, we link these ad hoc combination terms to a mathematical model that represents the dynamics of antimicrobial molecules hitting targets on bacterial cells. In this multi-hit model, bacteria are killed when a certain number of targets are hit by antimicrobials. Using this bottom-up approach reveals that Bliss independence should be the model of choice if no interaction between antimicrobial molecules is expected. Loewe additivity, on the other hand, describes scenarios in which antimicrobials affect the same components of the cell, i.e. are not acting independently. While our approach idealizes the dynamics of antimicrobials, it provides a conceptual underpinning of the additivity terms. The choice of the additivity term is essential to determine synergy or antagonism of antimicrobials.This article is part of the themed issue 'Evolutionary ecology of arthropod antimicrobial peptides'. © 2016 The Author(s).

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

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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.

Predictors of early infection in cerebral ischemic stroke.

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Ashour, Wmr; Al-Anwar, A D; Kamel, A E; Aidaros, M A

2016-01-01

Infection is the most common complication of stroke. To determine the risk factors and predictors of post-stroke infection (PSI), which developed within 7 days from the onset of acute ischemic stroke. The study included 60 ischemic stroke patients admitted in the Neurology Department of Zagazig University, Egypt, who were subdivided into: [Non Stroke Associated Infection group (nSAI); 30 patients having stroke without any criteria of infection within 7 days from the onset and Stroke Associated Infection group (SAI); 30 patients having stroke with respiratory tract infection (RTI) or urinary tract infection within 7 days], in addition to 30 healthy sex and age-matching subjects as control. All the patients had a detailed history taking, thorough clinical general and neurological examination, laboratory tests (Urine analysis & urine culture, blood sugar, lipid profile and serum tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-10), a chest radiography to assess RTI and brain computed tomography (CT) to exclude the hemorrhagic stroke and to confirm the ischemic stroke. SAI patients were found to be significantly older with higher baseline blood glucose level. Also the number of patients with tube feeding, lower conscious level, more stroke severity and more large size infarcts were significantly higher in SAI patients. There was a significant elevation in the IL-10, a significant decrease in the TNF-α and a significant decrease in the TNF-α/ IL-10 ratio, in the SAI group. The baseline serum level of IL-10 ≥ 14.5 pg/ ml and size of infarct area > 3.5 cm3 were found to be the independent predictors of PSI. Patients with older age, tube feeding, lower conscious level, worse baseline stroke severity, large cerebral infarcts in CT scan, and increased IL-10 serum level were more susceptible to infection. The baseline serum level of IL-10 ≥ 14.5 pg/ ml and the size of infarct area > 3.5 cm3 were the independent predictors of PSI.

Prevalence and predictors of depressive symptoms and wellbeing during and up to nine years after outpatient cardiac rehabilitation.

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Koçer, O; Wachter, M; Zellweger, M; Piazzalonga, S; Hoffmann, A

2011-07-30

Depression is an important independent prognostic variable in cardiac patients. The prevalence and predictors of depressive symptoms up to nine years after cardiac rehabilitation were studied. Follow-up questionnaires were sent to 2199 patients who had completed a 12-week exercise-based outpatient cardiac rehabilitation (OCR) programme between June 1999 and March 2006. Medical outcome, general wellbeing, and depressive symptoms were assessed, the latter by using two screening questions according to Arrol. Patients with incomplete data due to language problems, lack of compliance and non-response were excluded. Complete data for analysis was available for 710 patients. The median follow up period was 46 months (Interquartile range (IQR) 22-71, min. 6 months). At follow-up, 132 patients (19%) indicated low wellbeing, whereas 81 (11%) were having depressive symptoms. Multivariate analyses revealed impaired quality of life (p wellbeing at follow-up. Persistent smoking (p = 0.045) as well as negative mood (p = 0.022) at the end of OCR were independent predictors of depressive symptoms at follow-up. In a selected patient population a mean of four years after OCR, persistent smoking, diabetes, low exercise capacity and impaired quality of life at the end of OCR were independent long term predictors of low wellbeing and depressive symptoms, rather than specific cardiac variables. This highlights the need for close cooperation between cardiovascular and psychological specialists in cardiac rehabilitation.

Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

Directory of Open Access Journals (Sweden)

Hiekata Takashi

2006-01-01

Full Text Available A new two-stage blind source separation (BSS method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO-model-based independent component analysis (ICA and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, our novel SIMO-model-based binary masking can be applied to efficiently remove the residual interference components after SIMO-model-based ICA. The experimental results reveal that the separation performance can be considerably improved by the proposed method compared with that achieved by conventional BSS methods. In addition, the real-time implementation of the proposed BSS is illustrated.

Predictors of excellent early outcome after total hip arthroplasty

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Smith George H

2012-03-01

Full Text Available Abstract Background Not all patients gain the same degree of improvement from total hip replacement and the reasons for this are not clear. Many investigators have assessed predictors of general outcome after hip surgery. This study is unique in its quest for the predictors of the best possible early outcome. Methods We prospectively collected data on 1318 total hip replacements. Prior to surgery patient characteristics, demographics and co-morbidities were documented. Hip function and general health was assessed using the Harris Hip score (HHS and the Short-Form 36 respectively. The HHS was repeated at three years. We took a maximal HHS of 100 to represent an excellent outcome (102 patients. Multiple logistic regression analysis was used to identify independent predictors of excellent outcome. Results The two strongest predictive factors in achieving an excellent result were young age and a high pre-operative HHS (p = 0.001. Conclusions It was the young and those less disabled from their arthritis that excelled at three years. When making a decision about the timing of hip arthroplasty surgery it is important to take into account the age and pre-operative function of the patient. Whether these patients continue to excel however will be the basis of future research.

Radiative corrections for semileptonic decays of hyperons: the 'model independent' part

International Nuclear Information System (INIS)

Toth, K.; Szegoe, K.; Margaritis, T.

1984-04-01

The 'model independent' part of the order α radiative correction due to virtual photon exchanges and inner bremsstrahlung is studied for semileptonic decays of hyperons. Numerical results of high accuracy are given for the relative correction to the branching ratio, the electron energy spectrum and the (Esub(e),Esub(f)) Dalitz distribution in the case of four different decays. (author)

Predictors of Inadequate Linezolid Concentrations after Standard Dosing in Critically Ill Patients.

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Taubert, Max; Zoller, Michael; Maier, Barbara; Frechen, Sebastian; Scharf, Christina; Holdt, Lesca-Miriam; Frey, Lorenz; Vogeser, Michael; Fuhr, Uwe; Zander, Johannes

2016-09-01

Adequate linezolid blood concentrations have been shown to be associated with an improved clinical outcome. Our goal was to assess new predictors of inadequate linezolid concentrations often observed in critically ill patients. Fifty-two critically ill patients with severe infections receiving standard dosing of linezolid participated in this prospective observational study. Serum samples (median, 32 per patient) were taken on four consecutive days, and total linezolid concentrations were quantified. Covariates influencing linezolid pharmacokinetics were identified by multivariate analysis and a population pharmacokinetic model. Target attainment (area under the concentration-time curve over 12 h [AUC12]/MIC ratio of >50; MIC = 2 mg/liter) was calculated for both the study patients and a simulated independent patient group (n = 67,000). Target attainment was observed for only 36% of the population on both days 1 and 4. Independent covariates related to significant decreases of linezolid concentrations included higher weight, creatinine clearance rates, and fibrinogen and antithrombin concentrations, lower concentrations of lactate, and the presence of acute respiratory distress syndrome (ARDS). Linezolid clearance was increased in ARDS patients (by 82%) and in patients with elevated fibrinogen or decreased lactate concentrations. In simulated patients, most covariates, including fibrinogen and lactate concentrations and weight, showed quantitatively minor effects on target attainment (difference of ≤9% between the first and fourth quartiles of the respective parameters). In contrast, the presence of ARDS had the strongest influence, with only ≤6% of simulated patients reaching this target. In conclusion, the presence of ARDS was identified as a new and strong predictor of insufficient linezolid concentrations, which might cause treatment failure. Insufficient concentrations might also be a major problem in patients with combined alterations of other covariate

The Job Demands-Resources model as predictor of work identity and work engagement: A comparative analysis

OpenAIRE

Roslyn De Braine; Gert Roodt

2011-01-01

Orientation: Research shows that engaged employees experience high levels of energy and strong identification with their work, hence this study’s focus on work identity and dedication. Research purpose: This study explored possible differences in the Job Demands-Resources model (JD-R) as predictor of overall work engagement, dedication only and work-based identity, through comparative predictive analyses. Motivation for the study: This study may shed light on the dedication component o...

[Nasal flaring as a predictor of mortality in patients with severe dyspnea].

Science.gov (United States)

Zorrilla Riveiro, José Gregorio; Arnau Bartés, Anna; García Pérez, Dolors; Rafat Sellarés, Ramón; Mas Serra, Arantxa; Fernández Fernández, Rafael

2015-02-01

To determine whether the presence of nasal flaring is a clinical sign of severity and a predictor of hospital mortality in emergency patients with dyspnea. Prospective, observational, single-center study. We enrolled patients older than 15 years of age who required attention for dyspnea categorized as level II or III emergencies according to the Andorran Medical Triage system. Two observers evaluated the presence of nasal flaring. We recorded demographic and clinical variables, including respiratory effort, vital signs, arterial blood gases, and clinical course (hospital admission and mortality). Bivariable analysis was performed and multivariable logistic regression models were constructed. We enrolled 246 patients with a mean (SD) age of 77 (13) years; 52% were female. Nasal flaring was present in 19.5%. Patients with nasal flaring had triage levels indicating greater severity and they had more severe tachypnea, worse oxygenation, and greater acidosis and hypercapnia. Bivariable analysis detected that the following variables were associated with mortality: age (odds ratio [OR], 1.05; 95% CI, 1.01-1.10), prehospital care from the emergency medical service (OR, 3.97; 95% CI, 1.39-11.39), triage level II (OR, 4.19; 95% CI, 1.63-10.78), signs of respiratory effort such as nasal flaring (OR, 3.79; 95% CI, 1.65-8.69), presence of acidosis (OR, 7.09; 95% CI, 2.97-16.94), and hypercapnia (OR, 2.67; 95% CI, 1,11-6,45). The factors that remained independent predictors of mortality in the multivariable analysis were age, severity (triage level), and nasal flaring. In patients requiring emergency care for dyspnea, nasal flaring is a clinical sign of severity and a predictor of mortality.

Using an external surrogate for predictor model training in real-time motion management of lung tumors

Energy Technology Data Exchange (ETDEWEB)

Rottmann, Joerg; Berbeco, Ross [Brigham and Women’s Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts 02115 (United States)

2014-12-15

Purpose: Precise prediction of respiratory motion is a prerequisite for real-time motion compensation techniques such as beam, dynamic couch, or dynamic multileaf collimator tracking. Collection of tumor motion data to train the prediction model is required for most algorithms. To avoid exposure of patients to additional dose from imaging during this procedure, the feasibility of training a linear respiratory motion prediction model with an external surrogate signal is investigated and its performance benchmarked against training the model with tumor positions directly. Methods: The authors implement a lung tumor motion prediction algorithm based on linear ridge regression that is suitable to overcome system latencies up to about 300 ms. Its performance is investigated on a data set of 91 patient breathing trajectories recorded from fiducial marker tracking during radiotherapy delivery to the lung of ten patients. The expected 3D geometric error is quantified as a function of predictor lookahead time, signal sampling frequency and history vector length. Additionally, adaptive model retraining is evaluated, i.e., repeatedly updating the prediction model after initial training. Training length for this is gradually increased with incoming (internal) data availability. To assess practical feasibility model calculation times as well as various minimum data lengths for retraining are evaluated. Relative performance of model training with external surrogate motion data versus tumor motion data is evaluated. However, an internal–external motion correlation model is not utilized, i.e., prediction is solely driven by internal motion in both cases. Results: Similar prediction performance was achieved for training the model with external surrogate data versus internal (tumor motion) data. Adaptive model retraining can substantially boost performance in the case of external surrogate training while it has little impact for training with internal motion data. A minimum

Predictors of relationship power among drug-involved women.

Science.gov (United States)

Campbell, Aimee N C; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V

2012-08-01

Gender-based relationship power is frequently linked to women's capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded sexual relationship power scale, among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, and sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use × partner abuse and age × sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions.

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.

Autonomic nervous system activity as risk predictor in the medical emergency department: a prospective cohort study.

Science.gov (United States)

Eick, Christian; Rizas, Konstantinos D; Meyer-Zürn, Christine S; Groga-Bada, Patrick; Hamm, Wolfgang; Kreth, Florian; Overkamp, Dietrich; Weyrich, Peter; Gawaz, Meinrad; Bauer, Axel

2015-05-01

To evaluate heart rate deceleration capacity, an electrocardiogram-based marker of autonomic nervous system activity, as risk predictor in a medical emergency department and to test its incremental predictive value to the modified early warning score. Prospective cohort study. Medical emergency department of a large university hospital. Five thousand seven hundred thirty consecutive patients of either sex in sinus rhythm, who were admitted to the medical emergency department of the University of Tübingen, Germany, between November 2010 and March 2012. None. Deceleration capacity of heart rate was calculated within the first minutes after emergency department admission. The modified early warning score was assessed from respiratory rate, heart rate, systolic blood pressure, body temperature, and level of consciousness as previously described. Primary endpoint was intrahospital mortality; secondary endpoints included transfer to the ICU as well as 30-day and 180-day mortality. One hundred forty-two patients (2.5%) reached the primary endpoint. Deceleration capacity was highly significantly lower in nonsurvivors than survivors (2.9 ± 2.1 ms vs 5.6 ± 2.9 ms; p model yielded an area under the receiver-operator characteristic curve of 0.706 (0.667-0.750). Implementing deceleration capacity into the modified early warning score model led to a highly significant increase of the area under the receiver-operator characteristic curve to 0.804 (0.770-0.835; p capacity was also a highly significant predictor of 30-day and 180-day mortality as well as transfer to the ICU. Deceleration capacity is a strong and independent predictor of short-term mortality among patients admitted to a medical emergency department.

Incidence and predictors of surgical site infection in Ethiopia: prospective cohort.

Science.gov (United States)

Legesse Laloto, Tamrat; Hiko Gemeda, Desta; Abdella, Sadikalmahdi Hussen

2017-02-03

Surgical site infections are commonest nosocomial infections and responsible for considerable morbidity and mortality as well as increased hospitalizations and treatment cost related to surgical operations. The aim of this study was to determine incidence and predictors of surgical site infections at surgical ward of Hawassa University Referral Hospital, Southern Ethiopia. We performed prospective study involving 105 patients that undergone major surgical procedure at Hawassa University Referral Hospital from March 2 to May 2, 2015. Data were extracted from paper based medical charts, operational and anesthesia note, by direct observation and patients' interview. All patients were followed daily before, during and after operation for 30 days starting from the date of operation. Data were analyzed using Statistical Package for Social Science (SPSS) for window version 20.0 software. Predictors of Surgical site infections were identified using multivariable logistic regression model. P-value less than 0.05 was considered to be statistically significant. We studied 105 patients. Sixty four patients (61%) were males. The mean age of the patients was 30.85 ± 17.72 years. The mean Body Mass Index (BMI) was 21.6 ± 4 kg/m 2 . Twenty patients (19.1%) developed surgical site infections. Age greater than 40 years, AOR = 7.7(95% CI [1.610-40.810 p = 0.016,]), preoperative hospital stay more than 7 days, AOR = 22.4(95% CI [4.544-110.780, p = 0.001]), duration of operation more than 1 hour, AOR = 8.01(95% CI [1.562-41.099, p = 0.013]) and administering antimicrobial prophylaxis before 1 hour of operation, AOR = 11.1 (95% CI [1.269-75.639, p = 0.014]) were independent predictors for surgical site infections. Surgical site infection is relatively high.

Academic and non-academic predictors of success on the Nottingham undergraduate medical course 1970-1995.

Science.gov (United States)

James, D; Chilvers, C

2001-11-01

To identify academic and non-academic predictors of success of entrants to the Nottingham medical course over the first 25 completed years of the course's existence. SETTING, DESIGN AND MAIN OUTCOME MEASURES: Retrospective study of academic and non-academic characteristics of 2270 entrants between 1970 and 1990, and their subsequent success. Analyses were undertaken of two cohorts (entrants between 1970 and 1985 and entrants between 1986 and 1990). Overall, 148 of 2270 (6.5%) entrants left the course, with the highest proportion being from the first 6 years (10.7%). Of the 148 leavers, 58 (39.2%) did so after obtaining their BMedSci degree. Concerning non-academic factors, in the 1970-85 cohort, applicants from the later years and those not taking a year out were more successful. However, these two factors had no influence on outcome in 1986-90. In contrast, ethnicity and gender were highly significant predictors of success in obtaining honours at BMBS in 1986-90 but at no other exam nor in the earlier years. Older, mature or graduate entrants were more successful at obtaining a first-class degree at BMedSci for the whole 21 years. However, they were less likely to be successful at passing the BMBS. With regard to academic factors, overall, A grades at Ordinary level/General Certificate of Secondary Education (O-Level/GCSE) were inconsistent independent predictors of success. However, for 1986-90, high grades at O-Level/GCSE chemistry and biology were strong independent predictors of success at BMedSci and BMBS. Very few Advanced level (A-Level) criteria were independent predictors of success for 1970-85. In contrast, for 1986-90 entrants, achieving a high grade at A-Level chemistry predicted success at obtaining a first-class degree at BMedSci, and a high grade at A-Level biology predicted success at BMBS. Over the 21 years, the majority of entrants achieved significantly lower grades at A-Level than predicted. General Studies A-Level was a poor predictor of

Model Independent Search For New Physics At The Tevatron

Energy Technology Data Exchange (ETDEWEB)

Choudalakis, Georgios [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

2008-04-01

The Standard Model of elementary particles can not be the final theory. There are theoretical reasons to expect the appearance of new physics, possibly at the energy scale of few TeV. Several possible theories of new physics have been proposed, each with unknown probability to be confirmed. Instead of arbitrarily choosing to examine one of those theories, this thesis is about searching for any sign of new physics in a model-independent way. This search is performed at the Collider Detector at Fermilab (CDF). The Standard Model prediction is implemented in all final states simultaneously, and an array of statistical probes is employed to search for significant discrepancies between data and prediction. The probes are sensitive to overall population discrepancies, shape disagreements in distributions of kinematic quantities of final particles, excesses of events of large total transverse momentum, and local excesses of data expected from resonances due to new massive particles. The result of this search, first in 1 fb^-1 and then in 2 fb^-1, is null, namely no considerable evidence of new physics was found.

Prevalence and predictors of depression and anxiety among the elderly population living in geriatric homes in Cairo, Egypt.

Science.gov (United States)

Ahmed, Dalia; El Shair, Inas Helmi; Taher, Eman; Zyada, Fadia

2014-12-01

Anxiety and depression are common in the elderly and affect their quality of life. The rates of depression and anxiety are higher among those living in institutional settings and are usually undiagnosed. The aim of the study was to determine the prevalence and predictors of depression, anxiety and mixed form (i.e. depression and anxiety) in the elderly living at geriatric homes. A cross-sectional study was conducted on 240 elderly participants from four randomly selected geriatric homes in Cairo. A pretested interview questionnaire was used to collect data. A short version of the Geriatric Depression Scale (GDS-15), the Hamilton Anxiety Scale, the Katz scale for Activity of Daily living, the three-item loneliness scale and the Personal Wellbeing Index Scale were used. The prevalence of depression, anxiety and mixed disorder among the studied group were 37.5, 14.2 and 30%, respectively. Old age and the presence of comorbidities were predictors for depression and/or anxiety. Female sex, a lower social class, insufficient income, partial independence and loneliness feeling are significant predictors for depression. Being married and loneliness feeling are significant predictors for anxiety, whereas the functional status is a significant predictor for mixed depression and anxiety. Depression and/or anxiety were found in more than 80% of the studied group. An older age, female sex, insufficient income, a lower social class, a partially independent functional status, the presence of comorbidities, more frequent loneliness feeling and being married or divorced were found to be significant predictors for these problems. This study reflects the need for the screening of the elderly in geriatric homes for depression and/or anxiety, especially among high-risk groups, and developing interventions to prevent and control such problems.

Fatigue and pain limit independent mobility and physiotherapy after hip fracture surgery

DEFF Research Database (Denmark)

Münter, Kristine H.; Clemmesen, Christopher G.; Foss, Nicolai B.

2017-01-01

Purpose: The patient’s ability to complete their planned physiotherapy session after hip fracture surgery has been proposed as an independent predictor for achieving basic mobility independency upon hospital discharge. However, knowledge of factors limiting mobility is sparse. We therefore examined...... patient reported factors limiting ability to complete planned physiotherapy sessions as well as limitations for not achieving independency in basic mobility early after hip fracture surgery. Methods: A total of 204 consecutive patients with a hip fracture (mean (SD) age of 80 (9.9) years, 47 patients were......; pain, motor blockade, dizziness, fatigue, nausea, acute cognitive dysfunction and “other limitations”, for not achieving a full Cumulated Ambulation Score or inability to complete planned physiotherapy sessions were noted by the physiotherapist on each of the three first postoperative days. This period...

Nonlinear control of a multicomponent distillation process coupled with a binary distillation model as an EKF predictor.

Science.gov (United States)

Jana, Amiya Kumar; Ganguly, Saibal; Samanta, Amar Nath

2006-10-01

The work is devoted to design the globally linearizing control (GLC) strategy for a multicomponent distillation process. The control system is comprised with a nonlinear transformer, a nonlinear closed-loop state estimator [extended Kalman filter (EKF)], and a linear external controller [conventional proportional integral (PI) controller]. The model of a binary distillation column has been used as a state predictor to avoid huge design complexity of the EKF estimator. The binary components are the light key and the heavy key of the multicomponent system. The proposed GLC-EKF (GLC in conjunction with EKF) control algorithm has been compared with the GLC-ROOLE [GLC coupled with reduced-order open-loop estimator (ROOLE)] and the dual-loop PI controller based on set point tracking and disturbance rejection performance. Despite huge process/predictor mismatch, the superiority of the GLC-EKF has been inspected over the GLC-ROOLE control structure.

Renormalizability and model-independent description of Z' signals at low energies

International Nuclear Information System (INIS)

Gulov, A.V.; Skalozub, V.V.

2000-01-01

The model-independent search for signals of heavy Z' gauge bosons in low-energy four-fermion processes is analyzed. It is shown that the renormalizability of the underlying theory containing Z', formulated as a scattering in the field of heavy virtual states, can be implemented in specific relations between different processes. Considering the two-Higgs-doublet model as the low-energy basis theory, the two types of Z' interactions with light particles are found to be compatible with the renormalizability. They are called the Abelian and the ''chiral'' couplings. Observables giving the possibility to uniquely detect Z' in both cases are introduced. (orig.)

Aging as a predictor of nursing workload in Intensive Care Unit: results from a Brazilian Sample.

Science.gov (United States)

Ferretti-Rebustini, Renata Eloah de Lucena; Nogueira, Lilia de Souza; Silva, Rita de Cassia Gengo E; Poveda, Vanessa de Brito; Machado, Selma Pinheiro; Oliveira, Elaine Machado de; Andolhe, Rafaela; Padilha, Katia Grillo

2017-04-03

Verify if aging is an independent predictor of NW in ICU, according to age groups, and its predictive value as a determinant of NW in ICU. Study was conducted from 2012 to 2016. A convenience sample composed by patients (age ≥ 18) admitted to nine ICU belonging to a Brazilian hospital, was analyzed. Age was assumed as an independent variable and NW (measured by the Nursing Activities Score - NAS) as dependent. Linear regression model and ROC curve were used for the analysis. 890 participants (361 older people), mostly males (58.1%). The mean NAS score was higher among older participants in comparison to adults (p=0.004) but not within categories of aging (p=0.697). Age was responsible for 0.6% of NAS score. Each year of age increases NAS score in 0.081 points (p=0.015). However, age was not a good predictor of NAS score (AUC = 0.394; p=0.320). The care of older people in ICU is associated with an increase in NW, compared to adults. Aging can be considered an associated factor but not a good predictor of NW in ICU. Verificar si el envejecimiento es un predictor independiente de la Carga de Trabajo de Enfermería (CTE) en la Unidad de Cuidados Intensivos (UCI), según grupos etarios y su valor predictivo como determinante de la CTE en la UCI. Se analizó una muestra de conveniencia compuesta por pacientes (edad ≥ 18) ingresados en nueve UCI pertenecientes a un hospital brasileño. La edad se asumió como variable independiente y como variable dependiente la carga de trabajo de enfermería -medida por el sistema Nursing Activities Score (NAS) de puntuación de actividades de enfermería. Para el análisis, se utilizaron el modelo de regresión lineal y la curva ROC. 890 participantes (361 adultos mayores), en su mayoría varones (58,1%). La puntuación NAS promedio fue mayor entre los participantes adultos mayores en comparación con los adultos (p=0,004), pero no en las categorías de envejecimiento (p=0,697). La edad fue responsable del 0,6% de la puntuaci

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.

Applying Recursive Sensitivity Analysis to Multi-Criteria Decision Models to Reduce Bias in Defense Cyber Engineering Analysis

Science.gov (United States)

2015-10-28

techniques such as regression analysis, correlation, and multicollinearity assessment to identify the change and error on the input to the model...between many of the independent or predictor variables, the issue of multicollinearity may arise [18]. VII. SUMMARY Accurate decisions concerning

GENOMIC PREDICTOR OF RESPONSE AND SURVIVAL FOLLOWING TAXANE-ANTHRACYCLINE CHEMOTHERAPY FOR INVASIVE BREAST CANCER

Science.gov (United States)

Hatzis, Christos; Pusztai, Lajos; Valero, Vicente; Booser, Daniel J.; Esserman, Laura; Lluch, Ana; Vidaurre, Tatiana; Holmes, Frankie; Souchon, Eduardo; Martin, Miguel; Cotrina, José; Gomez, Henry; Hubbard, Rebekah; Chacón, J. Ignacio; Ferrer-Lozano, Jaime; Dyer, Richard; Buxton, Meredith; Gong, Yun; Wu, Yun; Ibrahim, Nuhad; Andreopoulou, Eleni; Ueno, Naoto T.; Hunt, Kelly; Yang, Wei; Nazario, Arlene; DeMichele, Angela; O’Shaughnessy, Joyce; Hortobagyi, Gabriel N.; Symmans, W. Fraser

2017-01-01

CONTEXT Accurate prediction of who will (or won’t) have high probability of survival benefit from standard treatments is fundamental for individualized cancer treatment strategies. OBJECTIVE To develop a predictor of response and survival from chemotherapy for newly diagnosed invasive breast cancer. DESIGN Development of different predictive signatures for resistance and response to neoadjuvant chemotherapy (stratified according to estrogen receptor (ER) status) from gene expression microarrays of newly diagnosed breast cancer (310 patients). Then prediction of breast cancer treatment-sensitivity using the combination of signatures for: 1) sensitivity to endocrine therapy, 2) chemo-resistance, and 3) chemo-sensitivity. Independent validation (198 patients) and comparison with other reported genomic predictors of chemotherapy response. SETTING Prospective multicenter study to develop and test genomic predictors for neoadjuvant chemotherapy. PATIENTS Newly diagnosed HER2-negative breast cancer treated with chemotherapy containing sequential taxane and anthracycline-based regimens then endocrine therapy (if hormone receptor-positive). MAIN OUTCOME MEASURES Distant relapse-free survival (DRFS) if predicted treatment-sensitive and absolute risk reduction (ARR, difference in DRFS of the two predicted groups) at median follow-up (3 years), and their 95% confidence intervals (CI). RESULTS Patients in the independent validation cohort (99% clinical Stage II–III) who were predicted to be treatment-sensitive (28% of total) had DRFS of 92% (CI 85–100) and survival benefit compared to others (absolute risk reduction (ARR) 18%; CI 6–28). Predictions were accurate if breast cancer was ER-positive (30% predicted sensitive, DRFS 97%, CI 91–100; ARR 11%, CI 0.1–21) or ER-negative (26% predicted sensitive, DRFS 83%, CI 68–100; ARR 26%, CI 4–28), and were significant in multivariate analysis after adjusting for relevant clinical-pathologic characteristics. Other

Regulatory and personality predictors of the reliability of professional actions

Directory of Open Access Journals (Sweden)

Morosanova V.I.

2017-12-01

Full Text Available Background. The present research is carried out in the context of the conscious self-regulation of professional activity. Objective. It investigates the regulatory and personality predictors of reliability in rescue operations under stressful conditions. Design. The research sample includes 87 rescuers (72 men and 15 women aged from 25 to 50 years. Respondents were asked to complete the Morosanova’s Self-Regulation Profile Questionnaire – SRPQM, the Eysenck Personality Profile - Short (EPP-S, and the expert questionnaire “Professional Reliability of Rescue Operation” designed for this particular study. Results. On the basis of a correlation analysis, the structural model of the predictors of action reliability was constructed using the maximum likelihood method. Consistency indices showed a good agreement between the model and empirical data. The model contains three latent factors: “Self-regulation”, “Neuroticism” and “Reliability of actions”. As the model displays, the “Self-regulation” factor is a significant predictor of professional action reliability. There are two indicator variables for the factor “Self-regulation”: the self-regulation reliability considered as its stability in the stressful situations, and the rescuers’ levels of development of professionally critical regulatory features - modeling of conditions significant for the achievement of goals and the programming of actions. The study results also show that personality dispositions (by Eysenck have only indirect influence on action reliability. As the structural model reveals, the conscious self-regulation is a mediator in the relationship of neuroticism traits and action reliability. Conclusion. The conscious self-regulation is a significant predictor of professional action reliability under stressful conditions. It is also the mediator of the effects of personality dispositions on the reliability of action.

Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models

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S. Pereira

2012-04-01

Full Text Available The aim of this study is to identify the landslide predisposing factors' combination using a bivariate statistical model that best predicts landslide susceptibility. The best model is one that has simultaneously good performance in terms of suitability and predictive power and has been developed using variables that are conditionally independent. The study area is the Santa Marta de Penaguião council (70 km² located in the Northern Portugal.

In order to identify the best combination of landslide predisposing factors, all possible combinations using up to seven predisposing factors were performed, which resulted in 120 predictions that were assessed with a landside inventory containing 767 shallow translational slides. The best landslide susceptibility model was selected according to the model degree of fitness and on the basis of a conditional independence criterion. The best model was developed with only three landslide predisposing factors (slope angle, inverse wetness index, and land use and was compared with a model developed using all seven landslide predisposing factors.

Results showed that it is possible to produce a reliable landslide susceptibility model using fewer landslide predisposing factors, which contributes towards higher conditional independence.

Clinical predictors of challenging atrioventricular node ablation procedure for rate control in patients with atrial fibrillation.

Science.gov (United States)

Polin, Baptiste; Behar, Nathalie; Galand, Vincent; Auffret, Vincent; Behaghel, Albin; Pavin, Dominique; Daubert, Jean-Claude; Mabo, Philippe; Leclercq, Christophe; Martins, Raphael P

2017-10-15

Atrioventricular node (AVN) ablation is usually a simple procedure but may sometimes be challenging. We aimed at identifying pre-procedural clinical predictors of challenging AVN ablation. Patients referred for AVN ablation from 2009 to 2015 were retrospectively included. Baseline clinical data, procedural variables and outcomes of AVN ablation were collected. A "challenging procedure" was defined 1) total radiofrequency delivery to get persistent AVN block≥400s, 2) need for left-sided arterial approach or 3) failure to obtain AVN ablation. 200 patients were included (71±10years). A total of 37 (18.5%) patients had "challenging" procedures (including 9 failures, 4.5%), while 163 (81.5%) had "non-challenging" ablations. In multivariable analysis, male sex (Odds ratio (OR)=4.66, 95% confidence interval (CI): 1.74-12.46), body mass index (BMI, OR=1.08 per 1kg/m 2 , 95%CI 1.01-1.16), operator experience (OR=0.40, 95%CI 0.17-0.94), and moderate-to-severe tricuspid regurgitation (TR, OR=3.65, 95%CI 1.63-8.15) were significant predictors of "challenging" ablations. The proportion as a function of number of predictors was analyzed (from 0 to 4, including male sex, operator inexperience, a BMI>23.5kg/m 2 and moderate-to-severe TR). There was a gradual increase in the risk of "challenging" procedure with the number of predictors by patient (No predictor: 0%; 1 predictor: 6.3%; 2 predictors: 16.5%; 3 predictors: 32.5%; 4 predictors: 77.8%). Operator experience, male sex, higher BMI and the degree of TR were independent predictors of "challenging" AVN ablation procedure. The risk increases with the number of predictors by patient. Copyright © 2017. Published by Elsevier B.V.

A Model Independent General Search for new physics in ATLAS

CERN Document Server

Amoroso, S; The ATLAS collaboration

2016-01-01

We present results of a model-independent general search for new phenomena in proton-proton collisions at a centre-of-mass energy of 8 TeV with the ATLAS detector at the LHC. The data set corresponds to a total integrated luminosity of 20.3~\\ifb. Event topologies involving isolated electrons, photons and muons, as well as jets, including those identified as originating from \\textit{b}-quarks (\\textit{b}-jets) and missing transverse momentum are investigated. The events are subdivided according to their final states into exclusive event classes. For the 697 classes with a Standard Model expectation greater than 0.1 events, a search algorithm tests the compatibility of data against the Monte Carlo simulated background in three kinematic variables sensitive to new physics effects. No significant deviation is found in data. The number and size of the observed deviations follow the Standard Model expectation obtained from simulated pseudo-experiments.

A Model Independent General Search for new physics in ATLAS

Science.gov (United States)

Amoroso, S.; ATLAS Collaboration

2016-04-01

We present results of a model-independent general search for new phenomena in proton-proton collisions at a centre-of-mass energy of 8 TeV with the ATLAS detector at the LHC. The data set corresponds to a total integrated luminosity of 20.3 fb-1. Event topologies involving isolated electrons, photons and muons, as well as jets, including those identified as originating from b-quarks (b-jets) and missing transverse momentum are investigated. The events are subdivided according to their final states into exclusive event classes. For the 697 classes with a Standard Model expectation greater than 0.1 events, a search algorithm tests the compatibility of data against the Monte Carlo simulated background in three kinematic variables sensitive to new physics effects. No significant deviation is found in data. The number and size of the observed deviations follow the Standard Model expectation obtained from simulated pseudo-experiments.

Explaining Variance and Identifying Predictors of Children's Communication via a Multilevel Model of Single-Case Design Research: Brief Report

Science.gov (United States)

Ottley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances

2016-01-01

The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…

Predictors of Thrombolysis Administration in Mild Stroke: Florida-Puerto Rico Collaboration to Reduce Stroke Disparities.

Science.gov (United States)

Asdaghi, Negar; Wang, Kefeng; Ciliberti-Vargas, Maria A; Gutierrez, Carolina Marinovic; Koch, Sebastian; Gardener, Hannah; Dong, Chuanhui; Rose, David Z; Garcia, Enid J; Burgin, W Scott; Zevallos, Juan Carlos; Rundek, Tatjana; Sacco, Ralph L; Romano, Jose G

2018-03-01

Mild stroke is the most common cause for thrombolysis exclusion in patients acutely presenting to the hospital. Thrombolysis administration in this subgroup is highly variable among different clinicians and institutions. We aim to study the predictors of thrombolysis in patients with mild ischemic stroke in the FL-PR CReSD registry (Florida-Puerto Rico Collaboration to Reduce Stroke Disparities). Among 73 712 prospectively enrolled patients with a final diagnosis of ischemic stroke or TIA from January 2010 to April 2015, we identified 7746 cases with persistent neurological symptoms and National Institutes of Health Stroke Scale ≤5 who arrived within 4 hours of symptom onset. Multilevel logistic regression analysis with generalized estimating equations was used to identify independent predictors of thrombolytic administration in the subgroup of patients without contraindications to thrombolysis. We included 6826 cases (final diagnosis mild stroke, 74.6% and TIA, 25.4%). Median age was 72 (interquartile range, 21); 52.7% men, 70.3% white, 12.9% black, 16.8% Hispanic; and median National Institutes of Health Stroke Scale, 2 (interquartile range, 3). Patients who received thrombolysis (n=1281, 18.7%) were younger (68 versus 72 years), had less vascular risk factors (hypertension, diabetes mellitus, and dyslipidemia), had lower risk of prior vascular disease (myocardial infarction, peripheral vascular disease, and previous stroke), and had a higher presenting median National Institutes of Health Stroke Scale (4 versus 2). In the multilevel multivariable model, early hospital arrival (arrive by 0-2 hours versus ≥3.5 hours; odds ratio [OR], 8.16; 95% confidence interval [CI], 4.76-13.98), higher National Institutes of Health Stroke Scale (OR, 1.87; 95% CI, 1.77-1.98), aphasia at presentation (OR, 1.35; 95% CI, 1.12-1.62), faster door-to-computed tomography time (OR, 1.81; 95% CI, 1.53-2.15), and presenting to an academic hospital (OR, 2.02; 95% CI, 1.39-2.95) were

Psychomotor development of preterm babies in the context of biomedical predictors in a Polish sample

Directory of Open Access Journals (Sweden)

Mariola Bidzan

2014-02-01

Full Text Available Background Preterm birth represents the most frequent complication of pregnancy all over the world. Much research is addressed to psychomotor development of preterm infants during the initial years of their life. Many authors emphasize the role of birth weight, gestational age, and gender in determining the child’s psychomotor development. This study adds to this knowledge as we analyzed the synergistic effect of biomedical predictors such as gestational age, birth weight, Apgar score, time in incubator, type of pregnancy defined based on its outcome, neonatal status immediately after delivery, infant’s gender, and possessing twin sibling. Combined effects of these factors represent an important niche in the studies of the developmental psychology of preterm infants. Participants and procedure The study included 49 preterm infants born in 2008-2009 at the Department of Obstetrics of the Medical University of Gdańsk. The psychomotor development of preterm infants was evaluated according to the Bayley Scales of Infant and Toddler Development®, Third Edition (BSID-III at a mean, non-corrected age of 33.80 months (SD = 5.16. For the purpose of the study we developed a basic model in the form of a pathway diagram, describing the cumulative influence of eight biomedical predictors on the development of the infants during early childhood. Results Our study revealed a synergistic influence of biomedical predictors on the development of preterm infants with regards to cognitive functioning (28% of variance, language skills (10% of variance, motor skills (18% of variance, fine motor skills (16% of variance, and gross motor skills (20% of variance. Moreover, we observed an independent effect of birth weight, child’s gender, and final Apgar score on the psychomotor development of preterm infants. Higher birth weight was associated with higher level of cognitive function and fine motor skills. Male gender of a child was reflected by a higher level of

Calibration and Propagation of Uncertainty for Independence

Energy Technology Data Exchange (ETDEWEB)

Holland, Troy Michael [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Kress, Joel David [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Bhat, Kabekode Ghanasham [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

2017-06-30

This document reports on progress and methods for the calibration and uncertainty quantification of the Independence model developed at UT Austin. The Independence model is an advanced thermodynamic and process model framework for piperazine solutions as a high-performance CO₂ capture solvent. Progress is presented in the framework of the CCSI standard basic data model inference framework. Recent work has largely focused on the thermodynamic submodels of Independence.

Metabolic and behavioral predictors of weight gain in Hispanic children: the Viva la Familia Study.

Science.gov (United States)

Butte, Nancy F; Cai, Guowen; Cole, Shelley A; Wilson, Theresa A; Fisher, Jennifer O; Zakeri, Issa F; Ellis, Kenneth J; Comuzzie, Anthony G

2007-06-01

Despite the high prevalence of overweight among Hispanic children in the United States, definitive predictors of weight gain have not been identified in this population. The study objective was to test sociodemographic, metabolic, and behavioral predictors of 1-y weight gains in a large cohort of Hispanic children studied longitudinally. Subjects (n = 879) were siblings from 319 Hispanic families enrolled in the Viva la Familia Study. Families were required to have at least one overweight child aged 4-19 y. One-year changes in weight and body composition by dual-energy X-ray absorptiometry were measured. Data were from parental interviews, birth certificates, multiple-pass 24-h dietary recalls, 3-d accelerometry, 24-h respiration calorimetry, measurements of eating in the absence of hunger, and measurement of fasting blood biochemistry indexes by radioimmunoassay. Generalized estimating equations and principal component analysis were applied. Weight gain increased with age (P = 0.001), peaking at approximately 10 y of age in girls and approximately 11 y of age in boys. Mean (+/-SD) weight gain was significantly higher in overweight (7.5 +/- 3.7 kg/y) than in nonoverweight (4.4 +/- 2.4 kg/y) children and in boys than in girls. When adjusted for age, age squared, sex, and Tanner stage, the final model indicated a child's body mass index (BMI; kg/m2) status, maternal BMI, energy expenditure (total energy expenditure, basal metabolic rate, and sleeping metabolic rate), and fasting blood biochemistry indexes (total triiodothyronine, insulin, leptin, and ghrelin) as independent, positive predictors of weight gain (P = 0.01-0.001). Knowledge of the metabolic and behavioral predictors of weight gain in Hispanic children will inform prevention and treatment efforts to address this serious public health problem in the United States.

Factors associated with death and predictors of one-month mortality from stroke in Kano, Northwestern Nigeria

Directory of Open Access Journals (Sweden)

Owolabi Lukman Femi

2013-01-01

Full Text Available Background: In resource-poor setting, identification of predictors of death is of paramount importance for clinicians, so that specific therapies and management strategies can be applied to patients at high risk of dying. This study aims to determine the factors associated with death and predictors of in-patient mortality for stroke among a cohort of stroke patients in two tertiary centers in Northwestern Nigeria. Materials and Methods: This was a prospective study of consecutive patients with acute stroke who were admitted to tertiary hospitals in northwestern Nigeria. A single observer, using pre-defined diagnostic criteria, recorded the information of interest including length of stay, outcome (dead or alive all through 30 days, time of death. Result: A total of 273 patients comprising 179 male and 94 female stroke patients were recruited. One hundred and seventy-four (63.7% had infarctive stroke while 99 (36.3% had hemorrhagic stroke (91 intracerebral and 8 sub-arachnoid hemorrhage. One-month mortality was 37%, and the majority was patients with hemorrhagic stroke (69.6%. About two-third (74.5% of the mortalities occurred during the first week of the event. Logistic regression showed that severe systolic blood pressure, severe diastolic pressure, second or more episode of stroke, severe GCS, seizures, abnormal pupillary size, hemorrhagic stroke type, presence of aspiration pneumonitis, RBS > 200 mg/dl were independent predictors of mortality in stroke. Conclusion: The present study provides information on factors associated with death in stroke. GCS < 8, seizures, abnormal pupillary size, hemorrhagic stroke, aspiration pneumonitis were independent predictors of mortality.

The University Matriculation Examination as a Predictor of ...

African Journals Online (AJOL)

The University Matriculation Examination as a Predictor of Performance in Post University Matriculation Examination: a Model for Educational development in the 21st Century. SO Uhunmwuangho, O Ogunbadeniyi ...

Independent oscillator model of a heat bath: exact diagonalization of the Hamiltonian

International Nuclear Information System (INIS)

Ford, G.W.; Lewis, J.T.; O'Connell, R.F.

1988-01-01

The problem of a quantum oscillator coupled to an independent-oscillator model of a heat bath is discussed. The transformation to normal coordinates is explicitly constructed using the method of Ullersma. With this transformation an alternative derivation of an exact formula for the oscillator free energy is constructed. The various contributions to the oscillator energy are calculated, with the aim of further understanding this formula. Finally, the limitations of linear coupling models, such as that used by Ullersma, are discussed in the form of some critical remarks

Childhood maltreatment: A predictor of mental health problems among adolescents and young adults.

Science.gov (United States)

Badr, Hanan E; Naser, Jumana; Al-Zaabi, Abdullah; Al-Saeedi, Anfal; Al-Munefi, Khalifa; Al-Houli, Shaikha; Al-Rashidi, Dana

2018-06-01

Child maltreatment is a risk factor for detrimental effects on mental health that may extend to adulthood. This study aimed to examine the association between exposure to childhood maltreatment, socio-demographic factors, and students' mental health status and self-esteem. A cross-sectional study enrolled a representative sample of 1270 students from Kuwait University. An anonymous self-administered questionnaire included students' socio-demographic characteristics, history of exposure to childhood physical and/or emotional maltreatment, DASS-21 to assess mental health status, and Rosenberg self-esteem scale was used. Chi-square test and binary logistic regression models were applied. The study found that among participants, 49.6%(95% CI: 64.8%-52.4%), 63.0%(95% CI: 60.3%-65.7%), and 43.8%(95% CI: 41.1%-46.6%) reported having depression, anxiety, and stress respectively. Moreover, 22.5%(95% CI: 20.1%-24.8%) and 18.6%(95% CI:16.5%-20.9%) reported childhood physical and emotional maltreatment, respectively; while 12.7% reported both. Multivariate analysis revealed that experiencing childhood physical and emotional maltreatment were independent contributors to reporting depression and anxiety; while exposure to only emotional maltreatment contributed to reporting stress. Gender, GPA, childhood enrollment in private/public schools, number of close friends, were other contributors to mental health problems. Participants' median score of self-esteem was 17/30, and only childhood emotional maltreatment was a significant predictor to low self-esteem after adjustment for other confounders. Mental health problems, and experiencing childhood physical and emotional maltreatment were prevalent relatively high among university students. Childhood corporal and emotional maltreatment were independent predictors to adolescents and young adults' mental health problems. Experiencing childhood emotional maltreatment predicted low self-esteem. Further research to assess culture factors

Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

Directory of Open Access Journals (Sweden)

C. TURELI BILEN

2011-10-01

Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

Very Long-term Outcomes and Predictors of Percutaneous Coronary Intervention with Drug-eluting Stents Versus Coronary Artery Bypass Grafting for Patients with Unprotected Left Main Coronary Artery Disease

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Xian-Peng Yu

2016-01-01

Conclusions: During a median follow-up of 7.1 years, there was no difference in the rate of death between PCI with DES implantation and CABG in ULMCA lesions in the patient cohort. CABG group was observed to have significantly lower rates of repeat revascularization but higher stroke rates compared with PCI. EF, creatinine, and prior stroke were independent predictors of the composite endpoint of cardiac death, MI, and stroke in the DES group, while age and EF were independent predictors in the CABG group.

Agency versus Communion as Predictors of Self-esteem: Searching for the Role of Culture and Self-construal

Directory of Open Access Journals (Sweden)

Wojciszke Bogdan

2014-12-01

Full Text Available Two hypotheses concerning the relative importance of agentic versus communal traits as predictors of selfesteem were tested. The perspective hypothesis assumed that self-esteem is dominated by agency over communion because self-perceptions are formed from the agent (versus recipient perspective. The culture hypothesis assumed that self-esteem is dominated by communal concerns in collectivistic cultures and by agentic concerns in individualistic cultures (echoed by individual differences in self-construal. Study 1 involving three samples from collectivistic countries and three from individualistic ones found that self-esteem was better predicted from self-ratings of agentic than communal traits, with the exception of collectivistic women for whom the two predictors were equal. Study 2 primed the interdependent or independent self and found self-ratings of agency to be better predictors of self-esteem than self-ratings of communion, with the exception of interdependence priming,where the two predictors were equal in strength.

Distance-independent individual tree diameter-increment model for Thuya [Tetraclinis articulata (VAHL. MAST.] stands in Tunisia

Directory of Open Access Journals (Sweden)

T. Sghaier

2013-12-01

Full Text Available Aim of study: The aim of the work was to develop an individual tree diameter-increment model for Thuya (Tetraclinis articulata in Tunisia.Area of study: The natural Tetraclinis articulata stands at Jbel Lattrech in north-eastern of Tunisia.Material and methods:  Data came from 200 trees located in 50 sample plots. The diameter at age t and the diameter increment for the last five years obtained from cores taken at breast height were measured for each tree. Four difference equations derived from the base functions of Richards, Lundqvist, Hossfeld IV and Weibull were tested using the age-independent formulations of the growth functions. Both numerical and graphical analyses were used to evaluate the performance of the candidate models.Main results: Based on the analysis, the age-independent difference equation derived from the base function Richards model was selected. Two of the three parameters (growth rate and shape parameter of the retained model were related to site quality, represented by a Growth Index, stand density and the basal area in larger trees divided by diameter of the subject tree expressing the inter-tree competition.Research highlights: The proposed model can be useful for predicting the diameter growth of Tetraclinis articulata in Tunisia when age is not available or for trees growing in uneven-aged stands.Keywords: Age-independent growth model; difference equations; Tetraclinis articulata; Tunisia.

Predictors of workplace violence among ambulance personnel: a longitudinal study.

Science.gov (United States)

van der Velden, Peter G; Bosmans, Mark W G; van der Meulen, Erik

2016-04-01

To examine predictors of repeated confrontations with workplace violence among ambulance personnel, the proportion of exposure to potentially traumatic events that are aggression-related and to what extent personnel was able to prevent escalations. Although previous research assessed the prevalences among this group, little is known about predictors, to what extent PTE's are WPV-related and their abilities to prevent escalations. A longitudinal study with a 6 months' time interval ( N  =   103). At T1 demographics, workplace violence and potentially traumatic events in the past year, mental health, personality, handling of rules, coping and social organizational stressors were assessed. Confrontations with aggression were also examined at T2. Multivariate logistic regression analyses showed that only problems with superiors independently predicted repeated verbal aggression and that only the (absence of the) ability to compromise very easily predicted repeatedly being on guard and repeatedly confronted with any form of aggression. Due to very low prevalences, we could not examine predictors of repeated confrontations with physical aggression ( N  =   5) and serious threat ( N  =   7). A large majority reported that in most workplace violence cases they could prevent further escalations. About 2% reported a potentially traumatic event in the year before T1 that was WPV related and perceived as very stressful.

Intrathoracic versus cervical anastomosis and predictors of anastomotic leakage after oesophagectomy for cancer.

Science.gov (United States)

Gooszen, J A H; Goense, L; Gisbertz, S S; Ruurda, J P; van Hillegersberg, R; van Berge Henegouwen, M I

2018-04-01

Studies comparing the anastomotic leak rate in patients with an intrathoracic versus a cervical anastomosis after oesophagectomy are equivocal. The aim of this study was to compare clinical outcome after oesophagectomy in patients with an intrathoracic or cervical anastomosis, and to identify predictors of anastomotic leakage in a nationwide audit. Between January 2011 and December 2015, all consecutive patients who underwent oesophagectomy for cancer were identified from the Dutch Upper Gastrointestinal Cancer Audit. For the comparison between an intrathoracic and cervical anastomosis, propensity score matching was used to adjust for potential confounders. Multivariable logistic regression modelling with backward stepwise selection was used to determine independent predictors of anastomotic leakage. Some 3348 patients were included. After propensity score matching, 654 patients were included in both the cervical and intrathoracic anastomosis groups. An intrathoracic anastomosis was associated with a lower leak rate than a cervical anastomosis (17·0 versus 21·9 per cent; P = 0·025). The percentage of patients with recurrent nerve paresis was also lower (0·6 versus 7·0 per cent; P Risk factors for anastomotic leak were co-morbidities and proximal tumours. © 2018 The Authors. BJS published by John Wiley & Sons Ltd on behalf of BJS Society Ltd.

Predictors of Mortality among Adult Antiretroviral Therapy Users in Southeastern Ethiopia: Retrospective Cohort Study

Directory of Open Access Journals (Sweden)

Tesfaye Setegn

2015-01-01

Full Text Available Background. Although efforts have been made to reduce AIDS-related mortality by providing antiretroviral therapy (ART services, still people are dying while they are on treatment due to several factors. This study aimed to investigate the predictors of mortality among adult antiretroviral therapy (ART users in Goba Hospital, Southeast Ethiopia. Methods. The medical records of 2036 ART users who enrolled at Goba Hospital between 2007 and 2012 were reviewed and sociodemographic, clinical, and ART-related data were collected. Multivariable Cox proportional hazards regression model was used to measure risk of death and identify the independent predictors of mortality. Results. The overall mortality incidence rate was 20.3 deaths per 1000 person-years. Male, bedridden, overweight/obese, and HIV clients infected with TB and other infectious diseases had higher odds of death compared with their respective counterparts. On the other hand, ART clients with primary and secondary educational level and early and less advanced WHO clinical stage had lower odds of death compared to their counterparts. Conclusion. The overall mortality incidence rate was high and majority of the death had occurred in the first year of ART initiation. Intensifying and strengthening early ART initiation, improving nutritional status, prevention and control of TB, and other opportunistic infections are recommended interventions.

Depression as an independent prognostic factor for all-cause mortality after a hospital admission for worsening heart failure

NARCIS (Netherlands)

Sokoreli, I; de Vries, J J G; Riistama, J M; Pauws, S C; Steyerberg, E W; Tesanovic, A; Geleijnse, G; Goode, K M; Crundall-Goode, A; Kazmi, S; Cleland, J G; Clark, A L

2016-01-01

BACKGROUND: Depression is associated with increased mortality amongst patients with chronic heart failure (HF). Whether depression is an independent predictor of outcome in patients admitted for worsening of HF is unclear. METHODS: OPERA-HF is an observational study enrolling patients hospitalized

Type D personality and depressive symptoms are independent predictors of impaired health status in chronic heart failure

DEFF Research Database (Denmark)

Schiffer, Angélique A; Pedersen, Susanne S.; Widdershoven, Jos W

2008-01-01

To examine whether Type D personality exerts a stable, independent effect on health status in CHF over time, adjusted for depressive symptoms.......To examine whether Type D personality exerts a stable, independent effect on health status in CHF over time, adjusted for depressive symptoms....

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

Bayesian conditional-independence modeling of the AIDS epidemic in England and Wales

Science.gov (United States)

Gilks, Walter R.; De Angelis, Daniela; Day, Nicholas E.

We describe the use of conditional-independence modeling, Bayesian inference and Markov chain Monte Carlo, to model and project the HIV-AIDS epidemic in homosexual/bisexual males in England and Wales. Complexity in this analysis arises through selectively missing data, indirectly observed underlying processes, and measurement error. Our emphasis is on presentation and discussion of the concepts, not on the technicalities of this analysis, which can be found elsewhere [D. De Angelis, W.R. Gilks, N.E. Day, Bayesian projection of the the acquired immune deficiency syndrome epidemic (with discussion), Applied Statistics, in press].

Socioeconomic, emotional, and physical execution variables as predictors of cognitive performance in a Spanish sample of middle-aged and older community-dwelling participants.

Science.gov (United States)

González, Mari Feli; Facal, David; Juncos-Rabadán, Onésimo; Yanguas, Javier

2017-10-01

Cognitive performance is not easily predicted, since different variables play an important role in the manifestation of age-related declines. The objective of this study is to analyze the predictors of cognitive performance in a Spanish sample over 50 years from a multidimensional perspective, including socioeconomic, affective, and physical variables. Some of them are well-known predictors of cognition and others are emergent variables in the study of cognition. The total sample, drawn from the "Longitudinal Study Aging in Spain (ELES)" project, consisted of 832 individuals without signs of cognitive impairment. Cognitive function was measured with tests evaluating episodic and working memory, visuomotor speed, fluency, and naming. Thirteen independent variables were selected as predictors belonging to socioeconomic, emotional, and physical execution areas. Multiple linear regressions, following the enter method, were calculated for each age group in order to study the influence of these variables in cognitive performance. Education is the variable which best predicts cognitive performance in the 50-59, 60-69, and 70-79 years old groups. In the 80+ group, the best predictor is objective economic status and education does not enter in the model. Age-related decline can be modified by the influence of educational and socioeconomic variables. In this context, it is relevant to take into account how easy is to modify certain variables, compared to others which depend on each person's life course.

Gender and distance influence performance predictors in young swimmers

Directory of Open Access Journals (Sweden)

Paulo Victor Mezzaroba

2013-12-01

Full Text Available Predictors of performance in adult swimmers are constantly changing during youth especially because the training routine begins even before puberty in the modality. Therefore this study aimed to determine the group of parameters that best predict short and middle swimming distance performances of young swimmers of both genders. Thirty-three 10-to 16-years-old male and female competitive swimmers participated in the study. Multiple linear regression (MLR was used considering mean speed of maximum 100, 200 and 400 m efforts as dependent variables, and five parameters groups as possible predictors (anthropometry, body composition, physiological and biomechanical parameters, chronological age/pubic hair. The main results revealed explanatory powers of almost 100% for both genders and all performances, but with different predictors entered in MLR models of each parameter group or all variables. Thus, there are considerable differences in short and middle swimming distance, and males and females predictors that should be considered in training programs.

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.

Self-efficacy, stress, and acculturation as predictors of first year science success among Latinos at a South Texas university

Science.gov (United States)

McNamara, Mark W.

The study tested the hypothesis that self-efficacy, stress, and acculturation are useful predictors of academic achievement in first year university science, independent of high school GPA and SAT scores, in a sample of Latino students at a South Texas Hispanic serving institution of higher education. The correlational study employed a mixed methods explanatory sequential model. The non-probability sample consisted of 98 university science and engineering students. The study participants had high science self-efficacy, low number of stressors, and were slightly Anglo-oriented bicultural to strongly Anglo-oriented. As expected, the control variables of SAT score and high school GPA were statistically significant predictors of the outcome measures. Together, they accounted for 19.80% of the variation in first year GPA, 13.80% of the variation in earned credit hours, and 11.30% of the variation in intent to remain in the science major. After controlling for SAT scores and high school GPAs, self-efficacy was a statistically significant predictor of credit hours earned and accounted for 5.60% of the variation; its unique contribution in explaining the variation in first year GPA and intent to remain in the science major was not statistically significant. Stress and acculturation were not statistically significant predictors of any of the outcome measures. Analysis of the qualitative data resulted in six themes (a) high science self-efficacy, (b) stressors, (c) positive role of stress, (d) Anglo-oriented, (e) bicultural, and (f) family. The quantitative and qualitative results were synthesized and practical implications were discussed.

Longitudinal Predictors of High School Completion

Science.gov (United States)

Barry, Melissa; Reschly, Amy L.

2012-01-01

This longitudinal study examined predictors of dropout assessed in elementary school. Student demographic data, achievement, attendance, and ratings of behavior from the Behavior Assessment System for Children were used to predict dropout and completion. Two models, which varied on student sex and race, predicted dropout at rates ranging from 75%…

Work Engagement as a Predictor of Onset of Major Depressive Episode (MDE) among Workers, Independent of Psychological Distress: A 3-Year Prospective Cohort Study

OpenAIRE

Imamura, Kotaro; Kawakami, Norito; Inoue, Akiomi; Shimazu, Akihito; Tsutsumi, Akizumi; Takahashi, Masaya; Totsuzaki, Takafumi

2016-01-01

Objective This study investigated work engagement as a baseline predictor of onset of major depressive episode (MDE). Methods The study used a prospective cohort design, conforming to the STROBE checklist. Participants were recruited from the employee population of a private think tank company (N = 4,270), and 1,058 (24.8%) of them completed a baseline survey, of whom 929 were included in this study. Work engagement and psychological distress at baseline were assessed as predictor variables. ...

Learning probabilistic models of hydrogen bond stability from molecular dynamics simulation trajectories

KAUST Repository

Chikalov, Igor

2011-02-15

Background: Hydrogen bonds (H-bonds) play a key role in both the formation and stabilization of protein structures. They form and break while a protein deforms, for instance during the transition from a non-functional to a functional state. The intrinsic strength of an individual H-bond has been studied from an energetic viewpoint, but energy alone may not be a very good predictor.Methods: This paper describes inductive learning methods to train protein-independent probabilistic models of H-bond stability from molecular dynamics (MD) simulation trajectories of various proteins. The training data contains 32 input attributes (predictors) that describe an H-bond and its local environment in a conformation c and the output attribute is the probability that the H-bond will be present in an arbitrary conformation of this protein achievable from c within a time duration ?. We model dependence of the output variable on the predictors by a regression tree.Results: Several models are built using 6 MD simulation trajectories containing over 4000 distinct H-bonds (millions of occurrences). Experimental results demonstrate that such models can predict H-bond stability quite well. They perform roughly 20% better than models based on H-bond energy alone. In addition, they can accurately identify a large fraction of the least stable H-bonds in a conformation. In most tests, about 80% of the 10% H-bonds predicted as the least stable are actually among the 10% truly least stable. The important attributes identified during the tree construction are consistent with previous findings.Conclusions: We use inductive learning methods to build protein-independent probabilistic models to study H-bond stability, and demonstrate that the models perform better than H-bond energy alone. 2011 Chikalov et al; licensee BioMed Central Ltd.

Predictors of renal scar in children with urinary infection and vesicoureteral reflux.

Science.gov (United States)

Soylu, Alper; Demir, Belde Kasap; Türkmen, Mehmet; Bekem, Ozlem; Saygi, Murat; Cakmakçi, Handan; Kavukçu, Salih

2008-12-01

We evaluated the predictors of renal scar in children with urinary tract infections (UTIs) having primary vesicoureteral reflux (VUR). Data of patients who were examined by dimercaptosuccinic acid (DMSA) scintigraphy between 1995 and 2005 were evaluated retrospectively. Gender, age, reflux grade, presence/development of scarring, breakthrough UTIs, and resolution of reflux, were recorded. The relation of gender, age and VUR grade to preformed scarring and the relation of gender, age, VUR grade, presence of preformed scarring, number of breakthrough UTIs and reflux resolution to new scarring were assessed. There were 138 patients [male/female (M/F) 53/85]. Multivariate analysis showed that male gender [odds ratio (OR) 2.5], age > or = 27 months in girls (OR 4.2) and grades IV-V reflux (OR 12.4) were independent indicators of renal scarring. On the other hand, only the presence of previous renal scarring was found to be an independent indicator for the development of new renal scar (OR 13.4). In conclusion, while the most predictive variables for the presence of renal scarring among children presenting with a UTI were male gender, age > or = 27 months in girls, and grades IV-V reflux, the best predictor of new scar formation was presence of previous renal scarring.

Predictors of abnormal chest CT after blunt trauma: a critical appraisal of the literature

International Nuclear Information System (INIS)

Brink, M.; Kool, D.R.; Dekker, H.M.; Deunk, J.; Jager, G.J.; Kuijk, C. van; Edwards, M.J.R.; Blickman, J.G.

2009-01-01

Aim: To identify and to evaluate predictors that determine whether chest computed tomography (CT) is likely to reveal relevant injuries in adult blunt trauma patients. Methods: After a comprehensive literature search for original studies on blunt chest injury diagnosis, two independent observers included studies on the accuracy of parameters derived from history, physical examination, or diagnostic imaging that might predict injuries at (multidetector row) CT in adults and that allowed construction of 2 x 2 contingency tables. For each article, methodological quality was scored and relevant predictors for injuries at CT were extracted. For each predictor, sensitivity, specificity, positive and negative likelihood ratio and diagnostic odds ratio (DOR) including 95% confidence intervals were calculated. Results: Of 147 articles initially identified, the observers included 10 original studies in consensus. Abnormalities at physical examination (abnormal respiratory effort, need for assisted ventilation, reduced airentry, coma, chest wall tenderness) and pelvic fractures were significant predictors (DOR: 2.1-6.7). The presence of any injuries at conventional radiography of the chest (eight articles) was a more powerful significant predictor (DOR: 2.2-37). Abnormal chest ultrasonography (four articles) was the most accurate predictor for chest injury at CT (DOR: 491-infinite). Conclusion: The current literature indicates that in blunt trauma patients with abnormal physical examination, abnormal conventional radiography, or abnormal ultrasonography of the chest, CT was likely to reveal relevant chest injuries. However, there was no strong evidence to suggest that CT could be omitted in patients without these criteria, or whether these findings are beneficial for patients

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

Impact of chronic kidney disease and stress myocardial perfusion imaging as a predictor of cardiovascular events

International Nuclear Information System (INIS)

Furuhashi, Tatsuhiko; Joki, Nobuhiko; Hase, Hiroki; Masai, Hirofumi; Kunimasa, Taeko; Nakazato, Ryo; Fukuda, Hiroshi; Sugi, Kaoru; Moroi, Masao

2011-01-01

Stress myocardial perfusion imaging (MPI) is an established means of predicting cardiovascular events and is suitable in chronic kidney disease (CKD) patients. We aimed to evaluate the prognostic value of CKD parameters and an abnormal stress MPI for cardiovascular events. A total of 495 patients with suspected coronary artery disease (CAD) or history of CAD including 130 CKD patients not undergoing hemodialysis, underwent stress MPI (313 males, mean age 70 years) and were followed up for 14 months (mean period). CKD was defined as an estimated GFR of 2 and/or persistent proteinuria. Cardiovascular events were defined as sudden cardiac death, acute coronary syndrome and congestive heart failure requiring hospitalization. Cardiovascular events occurred in 41 (8.3%) patients. Multivariate Cox regression analysis indicated that CKD [hazard ratio (HR) =3.76, p<0.001] and a stress MPI summed difference score (SDS) of ≥2 (HR=3.78, p<0.001) were independent predictors of cardiovascular events; CKD plus abnormal stress MPI was also a strong predictor of cardiovascular events (non-CKD and SDS <2 vs. CKD and SDS ≥2, HR=15.9, p<0.001). Both CKD and myocardial ischemia detected by stress MPI are independent predictors for cardiovascular events. Coexistence of CKD and myocardial ischemia detected by stress MPI is more useful for short-term risk stratification of cardiovascular events. (author)

Psychosocial predictors of emotional eating and their weight-loss treatment-induced changes in women with obesity.

Science.gov (United States)

Annesi, James J; Mareno, Nicole; McEwen, Kristin

2016-06-01

This study aimed at assessing whether psychosocial predictors of controlled eating and weight loss also predict emotional eating, and how differing weight-loss treatment methods affect those variables. Women with obesity (M = 47.8 ± 7.9 years; BMI = 35.4 ± 3.3 kg/m(2)) were randomized into groups of either phone-supported self-help (Self-Help; n = 50) or in-person contact (Personal Contact; n = 53) intended to increase exercise, improve eating behaviors, and reduce weight over 6 months. A multiple regression analysis indicated that at baseline mood, self-regulating eating, body satisfaction, and eating-related self-efficacy significantly predicted emotional eating (R (2) = 0.35), with mood and self-efficacy as independent predictors. Improvements over 6 months on each psychosocial measure were significantly greater in the Personal Contact group. Changes in mood, self-regulation, body satisfaction, and self-efficacy significantly predicted emotional eating change (R (2) = 0.38), with all variables except self-regulation change being an independent predictor. Decreased emotional eating was significantly associated with weight loss. Findings suggest that weight-loss interventions should target specific psychosocial factors to improve emotional eating. The administration of cognitive-behavioral methods through personal contact might be more beneficial for those improvements than self-help formats.

Origins and consequences of technology acquirement by independent-living seniors: towards an integrative model.

Science.gov (United States)

Peek, S T M; Luijkx, K G; Vrijhoef, H J M; Nieboer, M E; Aarts, S; van der Voort, C S; Rijnaard, M D; Wouters, E J M

2017-08-22

Living independently can be challenging for seniors. Technologies are expected to help older adults age in place, yet little empirical research is available on how seniors develop a need for technologies, how they acquire these technologies, and how these subsequently affect their lives. Aging is complex, dynamic and personal. But how does this translate to seniors' adoption and acceptance of technology? To better understand origins and consequences of technology acquirement by independent-living seniors, an explorative longitudinal qualitative field study was set up. Home visits were made to 33 community-dwelling seniors living in the Netherlands, on three occasions (2012-2014). Semi-structured interviews were conducted on the timeline of acquirements, and people and factors involved in acquirements. Additionally, participants were interviewed on experiences in using technologies since acquirement. Thematic analysis was employed to analyze interview transcripts, using a realist approach to better understand the contexts, mechanisms and outcomes of technology acquirements. Findings were accumulated in a new conceptual model: The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS), which provides an integrative perspective on why and how technologies are acquired, and why these may or may not prove to be appropriate and effective, considering an independent-living senior's needs and circumstances at a given point in time. We found that externally driven and purely desire-driven acquirements led to a higher risk of suboptimal use and low levels of need satisfaction. Technology acquirement by independent-living seniors may be best characterized as a heterogeneous process with many different origins, pathways and consequences. Furthermore, technologies that are acquired in ways that are not congruent with seniors' personal needs and circumstances run a higher risk of proving to be ineffective or inappropriate. Yet, these needs and circumstances are

A grid-independent EMMS/bubbling drag model for bubbling and turbulent fluidization

DEFF Research Database (Denmark)

Luo, Hao; Lu, Bona; Zhang, Jingyuan

2017-01-01

The EMMS/bubbling drag model takes the effects of meso-scale structures (i.e. bubbles) into modeling of drag coefficient and thus improves coarse-grid simulation of bubbling and turbulent fluidized beds. However, its dependence on grid size has not been fully investigated. In this article, we adopt...... a two-step scheme to extend the EMMS/bubbling model to the sub-grid level. Thus the heterogeneity index, HD, which accounts for the hydrodynamic disparity between homogeneous and heterogeneous fluidization, can be correlated as a function of both local voidage and slip velocity. Simulations over...... a periodic domain show the new drag model is less sensitive to grid size because of the additional dependence on local slip velocity. When applying the new drag model to simulations of realistic bubbling and turbulent fluidized beds, we find grid-independent results are easier to obtain for high...

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.

Evaluating the performance of different predictor strategies in regression-based downscaling with a focus on glacierized mountain environments

Science.gov (United States)

Hofer, Marlis; Nemec, Johanna

2016-04-01

This study presents first steps towards verifying the hypothesis that uncertainty in global and regional glacier mass simulations can be reduced considerably by reducing the uncertainty in the high-resolution atmospheric input data. To this aim, we systematically explore the potential of different predictor strategies for improving the performance of regression-based downscaling approaches. The investigated local-scale target variables are precipitation, air temperature, wind speed, relative humidity and global radiation, all at a daily time scale. Observations of these target variables are assessed from three sites in geo-environmentally and climatologically very distinct settings, all within highly complex topography and in the close proximity to mountain glaciers: (1) the Vernagtbach station in the Northern European Alps (VERNAGT), (2) the Artesonraju measuring site in the tropical South American Andes (ARTESON), and (3) the Brewster measuring site in the Southern Alps of New Zealand (BREWSTER). As the large-scale predictors, ERA interim reanalysis data are used. In the applied downscaling model training and evaluation procedures, particular emphasis is put on appropriately accounting for the pitfalls of limited and/or patchy observation records that are usually the only (if at all) available data from the glacierized mountain sites. Generalized linear models and beta regression are investigated as alternatives to ordinary least squares regression for the non-Gaussian target variables. By analyzing results for the three different sites, five predictands and for different times of the year, we look for systematic improvements in the downscaling models' skill specifically obtained by (i) using predictor data at the optimum scale rather than the minimum scale of the reanalysis data, (ii) identifying the optimum predictor allocation in the vertical, and (iii) considering multiple (variable, level and/or grid point) predictor options combined with state

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.

Published diagnostic models safely excluded colorectal cancer in an independent primary care validation study

NARCIS (Netherlands)

Elias, Sjoerd G; Kok, Liselotte; Witteman, Ben J M; Goedhard, Jelle G; Romberg-Camps, Mariëlle J L; Muris, Jean W M; de Wit, Niek J; Moons, Karel G M

OBJECTIVE: To validate published diagnostic models for their ability to safely reduce unnecessary endoscopy referrals in primary care patients suspected of significant colorectal disease. STUDY DESIGN AND SETTING: Following a systematic literature search, we independently validated the identified

Elevated plasma plasminogen activator inhibitor type-1 is an independent predictor of coronary microvascular dysfunction in hypertension

International Nuclear Information System (INIS)

Naya, Masanao; Tsukamoto, Takahiro; Inubushi, Masayuki; Morita, Koichi; Katoh, Chietsugu; Furumoto, Tomoo; Fujii, Satoshi; Tsutsui, Hiroyuki; Tamaki, Nagara

2007-01-01

Elevated plasma plasminogen activator inhibitor-1 (PAI-1) is related to cardiovascular events, but its role in subclinical coronary microvascular dysfunction remains unknown. Thus, in the present study it was investigated whether elevated plasma PAI-1 activity is associated with coronary microvascular dysfunction in hypertensive patients. Thirty patients with untreated essential hypertension and 10 age-matched healthy controls were studied prospectively. Myocardial blood flow (MBF) was measured by using 15 O-water positron emission tomography. Clinical variables associated with atherosclerosis (low-density lipoprotein-cholesterol, high-density lipoprotein (HDL)-cholesterol, triglyceride, homeostasis model assessment (HOMA-IR), and PAI-1 activity) were assessed to determine their involvement in coronary microvascular dysfunction. Adenosine triphosphate (ATP)-induced hyperemic MBF and coronary flow reserve (CFR) were significantly lower in hypertensive patients than in healthy controls (ATP-induced MBF: 2.77±0.82 vs 3.49±0.71 ml·g -1 ·min -1 ; p<0.02 and CFR: 2.95±1.06 vs 4.25±0.69; p<0.001). By univariate analysis, CFR was positively correlated with HDL-cholesterol (r=0.46, p<0.02), and inversely with HOMA-IR (r=-0.39, p<0.05) and PAI-1 activity (r=-0.61, p<0.001). By multivariate analysis, elevated PAI-1 activity remained a significant independent determinant of diminished CFR. Elevated plasma PAI-1 activity was independently associated with coronary microvascular dysfunction, which suggests that plasma PAI-1 activity is an important clue linking hypofibrinolysis to the development of atherosclerosis. (author)

Recreational physical activity as an independent predictor of multivariable cardiovascular disease risk.

Directory of Open Access Journals (Sweden)

Satvinder S Dhaliwal

Full Text Available The role of physical activity in preventing CVD has been highlighted by Professor Jerry Morris in the 1950's. We report outcome of a 15-year prospective study with the aim to identify whether physical activity showed cardiovascular benefit independent of common risk factors and of central obesity. Baseline data of 8662 subjects, with no previous history of heart disease, diabetes or stroke, were obtained from an age- and gender- stratified sample of adults in Australian capital cities and were linked with the National Death Index to determine the causes of death of 610 subjects who had died to 31 December 2004. The study consisted of 4175 males (age 42.3 ± 13.1 years and 4487 females (age 42.8 ± 13.2 years. Fasting serum lipid levels, systolic and diastolic blood pressure and smoking habits at baseline were recorded. The Framingham Risk Scores of 15-year mortality due to CHD and CVD were calculated using established equations. Subjects were also asked if they engaged in vigorous exercise, less vigorous exercise or walk for recreation and exercise in the past 2 weeks. Subjects in the high recreational physical activity category were 0.16 (0.06-0.43; p<0.001 and 0.12 (0.03-0.48; p = 0.003 times as likely as subjects in the low category for CVD and CHD mortality respectively. After adjusting for both the Framingham Risk Score and central obesity (Waist circumference to Hip circumference Ratio, those in the high recreational physical activity group were 0.35 (0.13-0.98 times less likely compared to the low category for CVD mortality. Recreational physical activity independently predicted reduced cardiovascular mortality over fifteen years. A public health focus on increased physical activity and preventing obesity is required to reduce the risk of CVD and CHD.

H/L transition time estimation in JET using conformal predictors

Energy Technology Data Exchange (ETDEWEB)

Gonzalez, S., E-mail: sergio.gonzalez@ciemat.es [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Vega, J. [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Murari, A. [Consorzio RFX, Associazione EURATOM/ENEA per la Fusione, Padova 4-25127 (Italy); Pereira, A. [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Dormido-Canto, S.; Ramirez, J.M. [Departamento de Informatica y Automatica, UNED, Madrid 28040 (Spain)

2012-12-15

Highlights: Black-Right-Pointing-Pointer H/L transitions have been predicted using H/L and L/H models. Black-Right-Pointing-Pointer Models have been built using conformal predictors to hedge the prediction with confidence and credibility measures. Black-Right-Pointing-Pointer Models have been trained using linear and radial basis function kernels. Black-Right-Pointing-Pointer Conformal measures have proven their usefulness to validate data-driven models. - Abstract: Recent advances in data mining allow the automatic recognition of physical phenomena in the databases of fusion devices without human intervention. This is important to create large databases of physical events (thereby increasing the statistical relevance) in an unattended manner. Important examples are the L/H and H/L transitions. In this contribution, a novel technique is introduced to automatically locate H/L transitions in JET by using conformal predictors. The focus is on H/L transitions because typically there is not a clear signature in the time series of the most widely available signals to recognize the change of confinement. Conformal predictors hedge their prediction by means of two parameters: confidence and credibility. The technique has been based on binary supervised classifiers to separate the samples of the respective confinement modes. Results with several underlying classifiers are presented.

Predictors of Heavy Stethoscope Contamination Following a Physical Examination.

Science.gov (United States)

Tschopp, Clément; Schneider, Alexis; Longtin, Yves; Renzi, Gesuele; Schrenzel, Jacques; Pittet, Didier

2016-06-01