Simultaneous inference of phylogenetic and transmission trees in infectious disease outbreaks

Science.gov (United States)

2017-01-01

Whole-genome sequencing of pathogens from host samples becomes more and more routine during infectious disease outbreaks. These data provide information on possible transmission events which can be used for further epidemiologic analyses, such as identification of risk factors for infectivity and transmission. However, the relationship between transmission events and sequence data is obscured by uncertainty arising from four largely unobserved processes: transmission, case observation, within-host pathogen dynamics and mutation. To properly resolve transmission events, these processes need to be taken into account. Recent years have seen much progress in theory and method development, but existing applications make simplifying assumptions that often break up the dependency between the four processes, or are tailored to specific datasets with matching model assumptions and code. To obtain a method with wider applicability, we have developed a novel approach to reconstruct transmission trees with sequence data. Our approach combines elementary models for transmission, case observation, within-host pathogen dynamics, and mutation, under the assumption that the outbreak is over and all cases have been observed. We use Bayesian inference with MCMC for which we have designed novel proposal steps to efficiently traverse the posterior distribution, taking account of all unobserved processes at once. This allows for efficient sampling of transmission trees from the posterior distribution, and robust estimation of consensus transmission trees. We implemented the proposed method in a new R package phybreak. The method performs well in tests of both new and published simulated data. We apply the model to five datasets on densely sampled infectious disease outbreaks, covering a wide range of epidemiological settings. Using only sampling times and sequences as data, our analyses confirmed the original results or improved on them: the more realistic infection times place more

Simultaneous inference of phylogenetic and transmission trees in infectious disease outbreaks.

Science.gov (United States)

Klinkenberg, Don; Backer, Jantien A; Didelot, Xavier; Colijn, Caroline; Wallinga, Jacco

2017-05-01

Whole-genome sequencing of pathogens from host samples becomes more and more routine during infectious disease outbreaks. These data provide information on possible transmission events which can be used for further epidemiologic analyses, such as identification of risk factors for infectivity and transmission. However, the relationship between transmission events and sequence data is obscured by uncertainty arising from four largely unobserved processes: transmission, case observation, within-host pathogen dynamics and mutation. To properly resolve transmission events, these processes need to be taken into account. Recent years have seen much progress in theory and method development, but existing applications make simplifying assumptions that often break up the dependency between the four processes, or are tailored to specific datasets with matching model assumptions and code. To obtain a method with wider applicability, we have developed a novel approach to reconstruct transmission trees with sequence data. Our approach combines elementary models for transmission, case observation, within-host pathogen dynamics, and mutation, under the assumption that the outbreak is over and all cases have been observed. We use Bayesian inference with MCMC for which we have designed novel proposal steps to efficiently traverse the posterior distribution, taking account of all unobserved processes at once. This allows for efficient sampling of transmission trees from the posterior distribution, and robust estimation of consensus transmission trees. We implemented the proposed method in a new R package phybreak. The method performs well in tests of both new and published simulated data. We apply the model to five datasets on densely sampled infectious disease outbreaks, covering a wide range of epidemiological settings. Using only sampling times and sequences as data, our analyses confirmed the original results or improved on them: the more realistic infection times place more

Simultaneous inference of phylogenetic and transmission trees in infectious disease outbreaks.

Directory of Open Access Journals (Sweden)

Don Klinkenberg

2017-05-01

Full Text Available Whole-genome sequencing of pathogens from host samples becomes more and more routine during infectious disease outbreaks. These data provide information on possible transmission events which can be used for further epidemiologic analyses, such as identification of risk factors for infectivity and transmission. However, the relationship between transmission events and sequence data is obscured by uncertainty arising from four largely unobserved processes: transmission, case observation, within-host pathogen dynamics and mutation. To properly resolve transmission events, these processes need to be taken into account. Recent years have seen much progress in theory and method development, but existing applications make simplifying assumptions that often break up the dependency between the four processes, or are tailored to specific datasets with matching model assumptions and code. To obtain a method with wider applicability, we have developed a novel approach to reconstruct transmission trees with sequence data. Our approach combines elementary models for transmission, case observation, within-host pathogen dynamics, and mutation, under the assumption that the outbreak is over and all cases have been observed. We use Bayesian inference with MCMC for which we have designed novel proposal steps to efficiently traverse the posterior distribution, taking account of all unobserved processes at once. This allows for efficient sampling of transmission trees from the posterior distribution, and robust estimation of consensus transmission trees. We implemented the proposed method in a new R package phybreak. The method performs well in tests of both new and published simulated data. We apply the model to five datasets on densely sampled infectious disease outbreaks, covering a wide range of epidemiological settings. Using only sampling times and sequences as data, our analyses confirmed the original results or improved on them: the more realistic infection

Diagnosis and treatment of invasive fungal diseases in patients with severe liver diseases

Directory of Open Access Journals (Sweden)

ZANG Hong

2016-09-01

Full Text Available Invasive fungal diseases (IFDs are an important factor affecting the prognosis of patients with severe liver diseases, and their early diagnosis remains a challenge for clinicians. The four most commonly seen IFDs are candidiasis, aspergillosis, cryptococcosis, and pneumocystis pneumonia. We should pay attention to the risk of developing IFDs in patients with severe liver diseases during clinical management. Particularly, early diagnosis and proper treatment of IFDs are important in high-risk patients. These are vital to improving the prognosis of patients with severe liver diseases.

Inferring epidemic network topology from surveillance data.

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Xiang Wan

Full Text Available The transmission of infectious diseases can be affected by many or even hidden factors, making it difficult to accurately predict when and where outbreaks may emerge. One approach at the moment is to develop and deploy surveillance systems in an effort to detect outbreaks as timely as possible. This enables policy makers to modify and implement strategies for the control of the transmission. The accumulated surveillance data including temporal, spatial, clinical, and demographic information, can provide valuable information with which to infer the underlying epidemic networks. Such networks can be quite informative and insightful as they characterize how infectious diseases transmit from one location to another. The aim of this work is to develop a computational model that allows inferences to be made regarding epidemic network topology in heterogeneous populations. We apply our model on the surveillance data from the 2009 H1N1 pandemic in Hong Kong. The inferred epidemic network displays significant effect on the propagation of infectious diseases.

Severe chronic allergic (and related) diseases

DEFF Research Database (Denmark)

Bousquet, J; Anto, J M; Demoly, P

2012-01-01

-up. Control is the degree to which therapy goals are currently met. These concepts have evolved over time for asthma in guidelines, task forces or consensus meetings. The aim of this paper is to generalize the approach of the uniform definition of severe asthma presented to WHO for chronic allergic...... and associated diseases (rhinitis, chronic rhinosinusitis, chronic urticaria and atopic dermatitis) in order to have a uniform definition of severity, control and risk, usable in most situations. It is based on the appropriate diagnosis, availability and accessibility of treatments, treatment responsiveness...... and associated factors such as comorbidities and risk factors. This uniform definition will allow a better definition of the phenotypes of severe allergic (and related) diseases for clinical practice, research (including epidemiology), public health purposes, education and the discovery of novel therapies....

Constraint Satisfaction Inference : Non-probabilistic Global Inference for Sequence Labelling

NARCIS (Netherlands)

Canisius, S.V.M.; van den Bosch, A.; Daelemans, W.; Basili, R.; Moschitti, A.

2006-01-01

We present a new method for performing sequence labelling based on the idea of using a machine-learning classifier to generate several possible output sequences, and then applying an inference procedure to select the best sequence among those. Most sequence labelling methods following a similar

Periodontal disease severity is associated with micronutrient intake.

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Luo, P-P; Xu, H-S; Chen, Y-W; Wu, S-P

2018-03-06

This study aimed to examine if specific micronutrients were associated with periodontal disease using data from the US National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. Participants who were aged 30 years or more and received complete periodontal examinations were included. Regression analyses were performed to determine associations of variables of interest with periodontal disease. Data of 6415 NHANES participants were included in the analysis. Multivariable analysis revealed that less intake of vitamin A (adjusted odds ratio (aOR) = 1.784), vitamin B1 (aOR = 1.334), vitamin C (aOR = 1.401), vitamin E (aOR = 1.576), iron (aOR = 1.234), folate (aOR = 1.254) and phosphorus (aOR = 1.280) was associated with increased severity of periodontal disease. Compared with the highest level of vitamin D intake, the second highest level of vitamin D intake was associated with lower severity of periodontal disease (aOR = 0.727). Insufficient intake of vitamin A, B1, C and E, iron, folate and phosphorus was significantly associated with severity of periodontal disease. Results of the present study suggest that the above micronutrients may be increased in the diet or taken as dietary supplements in order to reduce severity of periodontal disease. © 2018 Australian Dental Association.

Nonparametric predictive inference in statistical process control

NARCIS (Netherlands)

Arts, G.R.J.; Coolen, F.P.A.; Laan, van der P.

2000-01-01

New methods for statistical process control are presented, where the inferences have a nonparametric predictive nature. We consider several problems in process control in terms of uncertainties about future observable random quantities, and we develop inferences for these random quantities hased on

Hotspots in clinical management of severe liver diseases

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LYU Jiayu

2017-09-01

Full Text Available Severe liver diseases such as liver failure and acute decompensated cirrhosis have critical conditions and high mortality rates, and the prognosis of such patients is closely associated with early warning, timely dynamic assessment, and comprehensive and effective therapy. The patients require a series of effective clinical management measures for elimination of causative factors, organ support, and prevention and treatment of complications. Medical treatment-artificial liver-liver transplantation is an important modality for severe liver diseases. Granulocyte colony-stimulating factor, stem cell therapy, and bioartificial liver have a promising future, while there are still controversies over non-selective β-blocker. This article reviews the hotspots in the clinical management of severe liver diseases.

Exercise and cognitive functions in Parkinson's disease: Gender differences and disease severity

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Claudia Teixeira-Arroyo

2014-12-01

Full Text Available This study investigated the effect of a multimodal exercise program on executive functions and memory in people with Parkinson's disease, taking into account disease severity and gender. Twenty-three patients with Parkinson's disease (PD were evaluated before and after a 6-month exercise program to improve executive functions and memory. We observed the effects of the intervention on executive functions (ability to abstract: p = .01, immediate memory (p= .04 and declarative episodic memory (p < .001. Women showed higher scores on declarative episodic memory (p = .03 than men, however there was no interaction between gender and the intervention. Regardless of sex and disease severity, these preliminary results indicate that the multimodal exercise seems to be effective in improving cognitive functions in patients with PD, suggesting that this program can be indicated as a preventive strategy to mitigate progressive cognitive deficits in the later stages of the disease.

Lung inhalation scintigraphy with radioactive aerosols in several pulmonary diseases

International Nuclear Information System (INIS)

Martins, L.R.; Marioni Filho, H.; Romaldini, H.; Uehara, C.; Alonso, G.

1983-01-01

The pulmonary ventilation scintigraphy with 99m Tc diethylene-triamine-pentaacetate (99mTc-DTPA) delivered through a new nebulizer system when analyzed together with the classic lung perfusion scintigraphy with 99mTc-labeled albumin macroaggregates (99mTcMAA) is a very important diagnostic tool in several pulmonary diseases. Several aspects of the lung ventilation-perfusion scintigraphy are studied in 15 people with no lung disease, smokers and nonsmokers. The findings with the lung ventilation-perfusion scintigraphy are also discussed in 34 patients with several pulmonary diseases: lung cancer, chronic obstructive lung disease, policystic pulmonary disease, and pulmonary embolims. The authors concluded that the procedure is a valuable diagnostic tool in several pulmonary diseases, especially because good lung images are obtained, no side effects were detected, the technique is ease and low cost, and it brings new informations, not available with other diagnostic methods. (author)

Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.

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Shi, Hongbo; Zhang, Guangde; Zhou, Meng; Cheng, Liang; Yang, Haixiu; Wang, Jing; Sun, Jie; Wang, Zhenzhen

2016-01-01

MicroRNAs (miRNAs) play an important role in the development and progression of human diseases. The identification of disease-associated miRNAs will be helpful for understanding the molecular mechanisms of diseases at the post-transcriptional level. Based on different types of genomic data sources, computational methods for miRNA-disease association prediction have been proposed. However, individual source of genomic data tends to be incomplete and noisy; therefore, the integration of various types of genomic data for inferring reliable miRNA-disease associations is urgently needed. In this study, we present a computational framework, CHNmiRD, for identifying miRNA-disease associations by integrating multiple genomic and phenotype data, including protein-protein interaction data, gene ontology data, experimentally verified miRNA-target relationships, disease phenotype information and known miRNA-disease connections. The performance of CHNmiRD was evaluated by experimentally verified miRNA-disease associations, which achieved an area under the ROC curve (AUC) of 0.834 for 5-fold cross-validation. In particular, CHNmiRD displayed excellent performance for diseases without any known related miRNAs. The results of case studies for three human diseases (glioblastoma, myocardial infarction and type 1 diabetes) showed that all of the top 10 ranked miRNAs having no known associations with these three diseases in existing miRNA-disease databases were directly or indirectly confirmed by our latest literature mining. All these results demonstrated the reliability and efficiency of CHNmiRD, and it is anticipated that CHNmiRD will serve as a powerful bioinformatics method for mining novel disease-related miRNAs and providing a new perspective into molecular mechanisms underlying human diseases at the post-transcriptional level. CHNmiRD is freely available at http://www.bio-bigdata.com/CHNmiRD.

Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.

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Hongbo Shi

Full Text Available MicroRNAs (miRNAs play an important role in the development and progression of human diseases. The identification of disease-associated miRNAs will be helpful for understanding the molecular mechanisms of diseases at the post-transcriptional level. Based on different types of genomic data sources, computational methods for miRNA-disease association prediction have been proposed. However, individual source of genomic data tends to be incomplete and noisy; therefore, the integration of various types of genomic data for inferring reliable miRNA-disease associations is urgently needed. In this study, we present a computational framework, CHNmiRD, for identifying miRNA-disease associations by integrating multiple genomic and phenotype data, including protein-protein interaction data, gene ontology data, experimentally verified miRNA-target relationships, disease phenotype information and known miRNA-disease connections. The performance of CHNmiRD was evaluated by experimentally verified miRNA-disease associations, which achieved an area under the ROC curve (AUC of 0.834 for 5-fold cross-validation. In particular, CHNmiRD displayed excellent performance for diseases without any known related miRNAs. The results of case studies for three human diseases (glioblastoma, myocardial infarction and type 1 diabetes showed that all of the top 10 ranked miRNAs having no known associations with these three diseases in existing miRNA-disease databases were directly or indirectly confirmed by our latest literature mining. All these results demonstrated the reliability and efficiency of CHNmiRD, and it is anticipated that CHNmiRD will serve as a powerful bioinformatics method for mining novel disease-related miRNAs and providing a new perspective into molecular mechanisms underlying human diseases at the post-transcriptional level. CHNmiRD is freely available at http://www.bio-bigdata.com/CHNmiRD.

Image registration for assessment of Crohn's disease severity

NARCIS (Netherlands)

Li, Z.

2015-01-01

Crohn’s disease (CD) is a chronic inflammatory bowel disease (IBD) that affects millions of people in Europe alone. It is important to accurately assess the disease severity in a safe and non-invasive manner in order to improve the treatment of patients with CD. Furthermore, the ideal assessment

TNF promoter polymorphisms and modulation of growth retardation and disease severity in pediatric Crohn's disease.

Science.gov (United States)

Levine, Arie; Shamir, Raanan; Wine, Eytan; Weiss, Batya; Karban, Amir; Shaoul, Ron R; Reif, Shimon S; Yakir, Benjamin; Friedlander, Marcello; Kaniel, Yael; Leshinsky-Silver, Esther

2005-07-01

Delayed growth is common in pediatric Crohn's disease (CD). Multiple factors have been shown to affect growth in this situation, the most prominent being the presence and severity of inflammation and inadequate nutritional intake. Inflammation, anorexia, and weight loss are all manifestations of circulating TNF-alpha, which is elevated in CD. The ability to secrete TNF-alpha may be affected by polymorphisms in the TNF-alpha promoter. The aim of our study was to determine whether growth retardation and disease severity in pediatric onset CD are affected by TNF promoter genotype. Genotyping for TNF-alpha and NOD2/CARD15 single nucleotide polymorphisms was performed in 87 patients with detailed growth records. Parameters including disease location and disease severity were recorded, and the effect of these polymorphisms on Z-scores for height and weight at disease onset and during follow-up were analyzed. Lower age of onset was linked to more height retardation, while the presence of colonic disease and the absence of ileal disease were more likely to predict the absence of growth retardation. The presence of two polymorphisms thought to decrease circulating TNF-alpha was associated with higher mean Z-scores for height and a trend toward less growth retardation. Two other polymorphisms were modestly associated with disease severity. Polymorphisms in the TNF-alpha promoter may independently modulate growth and disease severity in pediatric onset CD. The effect of these polymorphisms does not appear to be mediated via weight loss, and is relatively modest.

Distribution, incidence and severity of viral diseases of yam ...

African Journals Online (AJOL)

A survey was conducted in major yam cultivation zones in Côte d'Ivoire in 2009 to determine the incidence, severity of viral diseases, and viruses associated with the infected plants. Incidence and severity of the viral diseases were estimated based on symptoms. Enzyme-linked immunosorbent assay (ELISA) and ...

Chronic obstructive pulmonary disease severity is associated with severe pneumonia

Directory of Open Access Journals (Sweden)

Jung Seop Eom

2015-01-01

Full Text Available CONTEXT: Chronic obstructive pulmonary disease (COPD is a heterogeneous disorder, and various aspects of COPD may be associated with the severity of pneumonia in such patients. AIMS: We examined the risk factors associated with severe pneumonia in a COPD population. MATERIALS AND METHODS: We performed a retrospective observational study using a prospectively collected database of pneumonia patients who were admitted to our hospital through emergency department between 2008 and 2012. Patients with hospital-acquired pneumonia and those with an immunocompromised status were excluded. RESULTS: Of 148 pneumonia patients with COPD for whom chest computed tomography (CT scans were available, 106 (71.6% and 42 (28.4% were classified as non-severe and severe pneumonia, respectively. Multivariate logistic regression analysis revealed that the severity of airflow limitation [odds ratio (OR, 2.751; 95% confidence interval (CI, 1.074-7.050; P = 0.035] and the presence of emphysema on a chest CT scan (OR, 3.366; 95% CI, 1.104-10.265; P = 0.033 were independently associated with severe pneumonia in patients with COPD. CONCLUSIONS: The severity of COPD including the airflow limitation grade and the presence of pulmonary emphysema were independently associated with the development of severe pneumonia.

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.

Science.gov (United States)

Wang, Guan; Sun, Yu; Wang, Jianxin

2017-01-01

Automatic and accurate estimation of disease severity is essential for food security, disease management, and yield loss prediction. Deep learning, the latest breakthrough in computer vision, is promising for fine-grained disease severity classification, as the method avoids the labor-intensive feature engineering and threshold-based segmentation. Using the apple black rot images in the PlantVillage dataset, which are further annotated by botanists with four severity stages as ground truth, a series of deep convolutional neural networks are trained to diagnose the severity of the disease. The performances of shallow networks trained from scratch and deep models fine-tuned by transfer learning are evaluated systemically in this paper. The best model is the deep VGG16 model trained with transfer learning, which yields an overall accuracy of 90.4% on the hold-out test set. The proposed deep learning model may have great potential in disease control for modern agriculture.

Disease severity and slower psychomotor speed in adults with sickle cell disease.

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Jorgensen, Dana R; Metti, Andrea; Butters, Meryl A; Mettenburg, Joseph M; Rosano, Caterina; Novelli, Enrico M

2017-09-26

Psychomotor slowing is common in children with sickle cell disease (SCD), but little is known about its severity in adults. We conducted a cross-sectional study to quantify psychomotor speed, measured with the digit symbol substitution test (DSST), in relationship with disease severity in adults with SCD attending an outpatient clinic (n = 88, age 36.3 years). Genotype was used to group patients in "severe" (homozygous for hemoglobin S or compound heterozygous with β 0 thalassemia) or "moderate" groups (compound heterozygous for HbS, with either HbC or β + thalassemia). Analyses were repeated after exclusion of patients with a history of stroke (n = 11). Mild impairment in processing speed was detectable in both the "severe" and the "moderate" group (30% and 9%, respectively; age-adjusted P = .14). Compared with the "moderate" group, those in the "severe" group had significantly lower standardized DSST scores ( P = .004), independent of adjustment for factors that differed between the groups: hemoglobin, ferritin, hydroxyurea use, blood pressure parameters, and stroke history. Results were similar after excluding patients with stroke. Psychomotor slowing in SCD differs in relationship to genotype; this difference appears unrelated to history of stroke or severity of anemia and other risk factors examined cross-sectionally. Although less prevalent, mild cognitive impairment was also detectable in patients with a less severe genotype. Longitudinal studies of SCD should include all diseases genotypes and examine factors that would reduce the risk of slow processing speed and perhaps more general cognitive impairment in each subgroup.

COPD exacerbations by disease severity in England

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Merinopoulou E

2016-04-01

Full Text Available Evie Merinopoulou,1 Mireia Raluy-Callado,1 Sreeram Ramagopalan,1 Sharon MacLachlan,1 Javaria Mona Khalid2 1Real-World Evidence, Evidera, 2Takeda Development Centre Europe Ltd, London, UK Objectives: Exacerbations of chronic obstructive pulmonary disease (COPD are associated with accelerated disease progression and are important drivers of health care resource utilization. The study aimed to quantify the rates of COPD exacerbations in England and assess health care resource utilization by severity categories according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD 2013.Methods: Data from the Clinical Practice Research Datalink linked to Hospital Episode Statistics were used to identify patients with a COPD diagnosis aged ≥40 years. Those with complete spirometric, modified Medical Research Council Dyspnea Scale information, and exacerbation history 12 months prior to January 1, 2011 (index date were classified into GOLD severity groups. Study outcomes over follow-up (up to December 31, 2013 were exacerbation rates and resource utilization (general practitioner visits, hospital admissions.Results: From the 44,201 patients in the study cohort, 83.5% were classified into severity levels GOLD A: 33.8%, GOLD B: 21.0%, GOLD C: 18.1%, and GOLD D: 27.0%. Mean age at diagnosis was 66 years and 52.0% were male. Annual exacerbation rates per person-year increased with severity, from 0.83 (95% confidence interval [CI]: 0.81–0.85 for GOLD A to 2.51 (95% CI: 2.47–2.55 for GOLD D. General practitioner visit rates per person-year also increased with severity, from 4.82 (95% CI: 4.74–4.93 for GOLD A to 7.44 (95% CI: 7.31–7.61 for GOLD D. COPD-related hospitalization rates per person-year increased from less symptoms (GOLD A: 0.28, GOLD C: 0.39 to more symptoms (GOLD B: 0.52, GOLD D: 0.84.Conclusion: Patients in the most severe category (GOLD D experienced nearly three times the number of exacerbations and COPD

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

Directory of Open Access Journals (Sweden)

Guan Wang

2017-01-01

Full Text Available Automatic and accurate estimation of disease severity is essential for food security, disease management, and yield loss prediction. Deep learning, the latest breakthrough in computer vision, is promising for fine-grained disease severity classification, as the method avoids the labor-intensive feature engineering and threshold-based segmentation. Using the apple black rot images in the PlantVillage dataset, which are further annotated by botanists with four severity stages as ground truth, a series of deep convolutional neural networks are trained to diagnose the severity of the disease. The performances of shallow networks trained from scratch and deep models fine-tuned by transfer learning are evaluated systemically in this paper. The best model is the deep VGG16 model trained with transfer learning, which yields an overall accuracy of 90.4% on the hold-out test set. The proposed deep learning model may have great potential in disease control for modern agriculture.

Heartburn Severity Does Not Predict Disease Severity in Patients With Erosive Esophagitis

Science.gov (United States)

Fennerty, M. Brian; Johnson, David A.

2006-01-01

Background For patients with gastroesophageal reflux disease (GERD), it is often assumed by treating physicians that the severity of heartburn correlates with the severity of erosive esophagitis (EE). Objective This is a post hoc analysis of data from 5 clinical trials that investigate the relationship between the baseline severity of heartburn and the baseline severity of EE. Methods Patients with endoscopically confirmed EE were assessed for heartburn symptoms with a 4-point scale at baseline and during treatment for 8 weeks with various proton pump inhibitors in 5 double-blind trials in which esomeprazole was the common comparator. EE was graded with the Los Angeles (LA) classification system. In these trials, healing and symptom response were evaluated by endoscopy and questionnaire after 4 weeks of treatment. Patients who were not healed were treated for an additional 4 weeks and reevaluated. Results A total of 11,945 patients with endoscopically confirmed EE participated in the 5 trials, with patients receiving esomeprazole 40 mg (n = 5068), esomeprazole 20 mg (n = 1243), omeprazole 20 mg (n = 3018), or lansoprazole 30 mg (n = 2616). Approximately one quarter of the 11,945 GERD patients in these 5 trials had severe EE (defined as LA grades C or D), regardless of their baseline heartburn severity. Conclusion The severity of GERD symptoms does not correlate well with disease severity. These findings indicate that endoscopy may have value in GERD patients in identifying those with EE, and if empirical therapy is chosen, then longer courses (4-8 weeks) of antisecretory therapy may be necessary to ensure healing of unrecognized esophagitis. PMID:16926745

The prevalence of severe fatigue in rheumatic diseases: an international study.

Science.gov (United States)

Overman, Cécile L; Kool, Marianne B; Da Silva, José A P; Geenen, Rinie

2016-02-01

Fatigue is a common, disabling, and difficult-to-manage problem in rheumatic diseases. Prevalence estimates of fatigue within rheumatic diseases vary considerably. Data on the prevalence of severe fatigue across multiple rheumatic diseases using a similar instrument is missing. Our aim was to provide an overview of the prevalence of severe fatigue across a broad range of rheumatic diseases and to examine its association with clinical and demographic variables. Online questionnaires were filled out by an international sample of 6120 patients (88 % female, mean age 47) encompassing 30 different rheumatic diseases. Fatigue was measured with the RAND(SF)-36 Vitality scale. A score of ≤35 was taken as representing severe fatigue (90 % sensitivity and 81 % specificity for chronic fatigue syndrome). Severe fatigue was present in 41 to 57 % of patients with a single inflammatory rheumatic disease such as rheumatoid arthritis, systemic lupus erythematosus, ankylosing spondylitis, Sjögren's syndrome, psoriatic arthritis, and scleroderma. Severe fatigue was least prevalent in patients with osteoarthritis (35 %) and most prevalent in patients with fibromyalgia (82 %). In logistic regression analysis, severe fatigue was associated with having fibromyalgia, having multiple rheumatic diseases without fibromyalgia, younger age, lower education, and language (French: highest prevalence; Dutch: lowest prevalence). In conclusion, one out of every two patients with a rheumatic disease is severely fatigued. As severe fatigue is detrimental to the patient, the near environment, and society at large, unraveling the underlying mechanisms of fatigue and developing optimal treatment should be top priorities in rheumatologic research and practice.

Post-traumatic stress disorder and cardiometabolic disease: improving causal inference to inform practice.

Science.gov (United States)

Koenen, K C; Sumner, J A; Gilsanz, P; Glymour, M M; Ratanatharathorn, A; Rimm, E B; Roberts, A L; Winning, A; Kubzansky, L D

2017-01-01

Post-traumatic stress disorder (PTSD) has been declared 'a life sentence' based on evidence that the disorder leads to a host of physical health problems. Some of the strongest empirical research - in terms of methodology and findings - has shown that PTSD predicts higher risk of cardiometabolic diseases, specifically cardiovascular disease (CVD) and type 2 diabetes (T2D). Despite mounting evidence, PTSD is not currently acknowledged as a risk factor by cardiovascular or endocrinological medicine. This view is unlikely to change absent compelling evidence that PTSD causally contributes to cardiometabolic disease. This review suggests that with developments in methods for epidemiological research and the rapidly expanding knowledge of the behavioral and biological effects of PTSD the field is poised to provide more definitive answers to questions of causality. First, we discuss methods to improve causal inference using the observational data most often used in studies of PTSD and health, with particular reference to issues of temporality and confounding. Second, we consider recent work linking PTSD with specific behaviors and biological processes, and evaluate whether these may plausibly serve as mechanisms by which PTSD leads to cardiometabolic disease. Third, we evaluate how looking more comprehensively into the PTSD phenotype provides insight into whether specific aspects of PTSD phenomenology are particularly relevant to cardiometabolic disease. Finally, we discuss new areas of research that are feasible and could enhance understanding of the PTSD-cardiometabolic relationship, such as testing whether treatment of PTSD can halt or even reverse the cardiometabolic risk factors causally related to CVD and T2D.

Eight challenges in phylodynamic inference

Directory of Open Access Journals (Sweden)

Simon D.W. Frost

2015-03-01

Full Text Available The field of phylodynamics, which attempts to enhance our understanding of infectious disease dynamics using pathogen phylogenies, has made great strides in the past decade. Basic epidemiological and evolutionary models are now well characterized with inferential frameworks in place. However, significant challenges remain in extending phylodynamic inference to more complex systems. These challenges include accounting for evolutionary complexities such as changing mutation rates, selection, reassortment, and recombination, as well as epidemiological complexities such as stochastic population dynamics, host population structure, and different patterns at the within-host and between-host scales. An additional challenge exists in making efficient inferences from an ever increasing corpus of sequence data.

Functional networks inference from rule-based machine learning models.

Science.gov (United States)

Lazzarini, Nicola; Widera, Paweł; Williamson, Stuart; Heer, Rakesh; Krasnogor, Natalio; Bacardit, Jaume

2016-01-01

Functional networks play an important role in the analysis of biological processes and systems. The inference of these networks from high-throughput (-omics) data is an area of intense research. So far, the similarity-based inference paradigm (e.g. gene co-expression) has been the most popular approach. It assumes a functional relationship between genes which are expressed at similar levels across different samples. An alternative to this paradigm is the inference of relationships from the structure of machine learning models. These models are able to capture complex relationships between variables, that often are different/complementary to the similarity-based methods. We propose a protocol to infer functional networks from machine learning models, called FuNeL. It assumes, that genes used together within a rule-based machine learning model to classify the samples, might also be functionally related at a biological level. The protocol is first tested on synthetic datasets and then evaluated on a test suite of 8 real-world datasets related to human cancer. The networks inferred from the real-world data are compared against gene co-expression networks of equal size, generated with 3 different methods. The comparison is performed from two different points of view. We analyse the enriched biological terms in the set of network nodes and the relationships between known disease-associated genes in a context of the network topology. The comparison confirms both the biological relevance and the complementary character of the knowledge captured by the FuNeL networks in relation to similarity-based methods and demonstrates its potential to identify known disease associations as core elements of the network. Finally, using a prostate cancer dataset as a case study, we confirm that the biological knowledge captured by our method is relevant to the disease and consistent with the specialised literature and with an independent dataset not used in the inference process. The

Gray matter perfusion correlates with disease severity in ALS.

Science.gov (United States)

Rule, Randall R; Schuff, Norbert; Miller, Robert G; Weiner, Michael W

2010-03-09

The goal of this study is to determine if regional brain perfusion, as measured by arterial spin labeling (ASL) MRI, is correlated with clinical measures of amyotrophic lateral sclerosis (ALS) disease severity. The presence of such a relationship would indicate a possible role for ASL perfusion as a marker of disease severity and upper motor neuron involvement in ALS. Disease severity was assessed in 16 subjects with ALS (age 54 +/- 11) using the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) and the pulmonary function measure, forced vital capacity (FVC). Upper motor neuron involvement was assessed by testing rapid tapping of the fingers and feet. Magnetic resonance perfusion images were coregistered with structural T1-weighted MRI, corrected for partial volume effects using the structural images and normalized to a study-specific atlas. Correlations between perfusion and ALS disease severity were analyzed, using statistical parametric mapping, and including age as a factor. Analyses were adjusted for multiple clusters. ALS severity, as measured by the ALSFRS and FVC, was correlated with gray matter perfusion. This correlation was predominantly observed in the hemisphere contralateral to the more affected limbs. ALSFRS scores correlated with perfusion in the contralateral frontal and parietal lobe (p frontal lobe (p frontal lobe (p Upper motor neuron involvement, as measured by rapid finger tapping, correlated bilaterally with perfusion in the middle cingulate gyrus (p < 0.001). Amyotrophic lateral sclerosis (ALS) severity is correlated with brain perfusion as measured by arterial spin labeling (ASL) perfusion. This correlation appears to be independent of brain atrophy. ASL perfusion may be a useful tool for monitoring disease progression and assessing treatment effects in ALS.

Severe agitation in severe early-onset Alzheimer’s disease resolves with ECT

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Aksay SS

2014-11-01

Full Text Available Suna Su Aksay, Lucrezia Hausner, Lutz Frölich, Alexander Sartorius Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Abstract: Dementia-related behavioral disturbances are mostly treated with antipsychotics; however, the observed beneficial effects are modest and the risk of serious adverse effects high. We report the case of a 57-year-old woman with severe early-onset Alzheimer’s disease and severe agitation, whom we treated with electroconvulsive therapy (ECT. A significant clinical improvement was achieved over eight ECT sessions, which were tolerated well without cognitive worsening, and lasted approximately 3 months. Our case demonstrates the safe and effective use of ECT in pharmacotherapy-resistant severe agitation in Alzheimer’s disease. The risk–benefit profile of ECT for dementia-related agitation should be further investigated in clinical trials. Keywords: dementia, electroconvulsive therapy, cognition, emotional distress, disinhibition.

Cardiac Complications, Earlier Treatment, and Initial Disease Severity in Kawasaki Disease.

Science.gov (United States)

Abrams, Joseph Y; Belay, Ermias D; Uehara, Ritei; Maddox, Ryan A; Schonberger, Lawrence B; Nakamura, Yosikazu

2017-09-01

To assess if observed higher observed risks of cardiac complications for patients with Kawasaki disease (KD) treated earlier may reflect bias due to confounding from initial disease severity, as opposed to any negative effect of earlier treatment. We used data from Japanese nationwide KD surveys from 1997 to 2004. Receipt of additional intravenous immunoglobulin (IVIG) (data available all years) or any additional treatment (available for 2003-2004) were assessed as proxies for initial disease severity. We determined associations between earlier or later IVIG treatment (defined as receipt of IVIG on days 1-4 vs days 5-10 of illness) and cardiac complications by stratifying by receipt of additional treatment or by using logistic modeling to control for the effect of receiving additional treatment. A total of 48 310 patients with KD were included in the analysis. In unadjusted analysis, earlier IVIG treatment was associated with a higher risk for 4 categories of cardiac complications, including all major cardiac complications (risk ratio, 1.10; 95% CI, 1.06-1.15). Stratifying by receipt of additional treatment removed this association, and earlier IVIG treatment became protective against all major cardiac complications when controlling for any additional treatment in logistic regressions (OR, 0.90; 95% CI, 0.80-1.00). Observed higher risks of cardiac complications among patients with KD receiving IVIG treatment on days 1-4 of the illness are most likely due to underlying higher initial disease severity, and patients with KD should continue to be treated with IVIG as early as possible. Published by Elsevier Inc.

[Prevalence of severe periodontal disease and its association with respiratory disease in hospitalized adult patients in a tertiary care center].

Science.gov (United States)

Fernández-Plata, Rosario; Olmedo-Torres, Daniel; Martínez-Briseño, David; García-Sancho, Cecilia; Franco-Marina, Francisco; González-Cruz, Herminia

2015-01-01

Severe periodontal disease is a chronic inflammatory gingival process associated with systemic diseases. To determine the prevalence of severe periodontal disease and its association with respiratory diseases among hospitalized patients at the Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER) in 2011. A cross-sectional study was developed. The severe periodontal disease was diagnosed by the Department of Stomatology. The International Classification of Diseases 10th revision was used. A multinomial logistic was fit to estimate relative-risk. Three thousand and fifty-nine patients were included; 772/3,059 (25.2%) had severe periodontal disease. After controlling for age, sex, inpatient days, death, and socioeconomic status, the infectious respiratory diseases that were significantly associated with severe periodontal disease were: HIV/AIDS (RR: 10.6; 95% CI: 9.1-23.3; p abscess (RR: 2.6; 95% CI: 1.6-7.8; p = 0.002). Lung cancer and pleural diseases were also significantly associated with severe periodontal disease. High prevalence of severe periodontal disease was observed in the different respiratory diseases. Severe periodontal disease was associated with both infectious and non-infectious respiratory diseases. It is important to study an oral health intervention.

Inference of gene-phenotype associations via protein-protein interaction and orthology.

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Panwen Wang

Full Text Available One of the fundamental goals of genetics is to understand gene functions and their associated phenotypes. To achieve this goal, in this study we developed a computational algorithm that uses orthology and protein-protein interaction information to infer gene-phenotype associations for multiple species. Furthermore, we developed a web server that provides genome-wide phenotype inference for six species: fly, human, mouse, worm, yeast, and zebrafish. We evaluated our inference method by comparing the inferred results with known gene-phenotype associations. The high Area Under the Curve values suggest a significant performance of our method. By applying our method to two human representative diseases, Type 2 Diabetes and Breast Cancer, we demonstrated that our method is able to identify related Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. The web server can be used to infer functions and putative phenotypes of a gene along with the candidate genes of a phenotype, and thus aids in disease candidate gene discovery. Our web server is available at http://jjwanglab.org/PhenoPPIOrth.

Meta-learning framework applied in bioinformatics inference system design.

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Arredondo, Tomás; Ormazábal, Wladimir

2015-01-01

This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates for inclusion in bacterial metabolic pathway maps. This meta-learner-based approach utilises a workflow where the user provides feedback with final classification decisions which are stored in conjunction with analysed genetic sequences for periodic inference system training. The inference systems were trained and tested with three different data sets related to the bacterial degradation of aromatic compounds. The analysis of the meta-learner-based framework involved contrasting several different optimisation methods with various different parameters. The obtained inference systems were also contrasted with other standard classification methods with accurate prediction capabilities observed.

Supervised learning for infection risk inference using pathology data.

Science.gov (United States)

Hernandez, Bernard; Herrero, Pau; Rawson, Timothy Miles; Moore, Luke S P; Evans, Benjamin; Toumazou, Christofer; Holmes, Alison H; Georgiou, Pantelis

2017-12-08

Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Support Systems (CDSSs) have been proven to enhance quality of care by promoting change in prescription practices through antimicrobial selection advice. However, bypassing an initial assessment to determine the existence of an underlying disease that justifies the need of antimicrobial therapy might lead to indiscriminate and often unnecessary prescriptions. From pathology laboratory tests, six biochemical markers were selected and combined with microbiology outcomes from susceptibility tests to create a unique dataset with over one and a half million daily profiles to perform infection risk inference. Outliers were discarded using the inter-quartile range rule and several sampling techniques were studied to tackle the class imbalance problem. The first phase selects the most effective and robust model during training using ten-fold stratified cross-validation. The second phase evaluates the final model after isotonic calibration in scenarios with missing inputs and imbalanced class distributions. More than 50% of infected profiles have daily requested laboratory tests for the six biochemical markers with very promising infection inference results: area under the receiver operating characteristic curve (0.80-0.83), sensitivity (0.64-0.75) and specificity (0.92-0.97). Standardization consistently outperforms normalization and sensitivity is enhanced by using the SMOTE sampling technique. Furthermore, models operated without noticeable loss in performance if at least four biomarkers were available. The selected biomarkers comprise enough information to perform infection risk inference with a high degree of confidence even in the presence of incomplete and imbalanced data. Since they are commonly available in hospitals, Clinical Decision Support Systems could

Molecular prediction of disease risk and severity in a large Dutch Crohn's disease cohort

NARCIS (Netherlands)

Weersma, R.K.; Stokkers, P.C.F.; van Bodegraven, A.A.; van Hogezand, R.A.; Verspaget, H.W.; de Jong, D.J.; van der Woude, C.J.; Oldenburg, B.; Linskens, R.K.; Festen, E.A.M.; van der Steege, G.; Hommes, D.W.; Crusius, J.B.A.; Wijmenga, C.; Nolte, I.M.; Dijkstra, G.

2009-01-01

Background: Crohn's disease and ulcerative colitis have a complex genetic background. We assessed the risk for both the development and severity of the disease by combining information from genetic variants associated with inflammatory bowel disease (IBD). Methods: We studied 2804 patients (1684

Acro-osteolysis as an indicator of severity in systemic sclerosis.

Science.gov (United States)

Arana-Ruiz, Juan Carlos; Amezcua-Guerra, Luis Manuel

2016-01-01

Systemic sclerosis is a rare disease that predominantly affects women. The Medsger severity scale has been used to assess the severity, but it requires expensive and poorly accessible studies and it does not include complications such acrosteolysis, calcinosis, pericardial disease or hypothyroidism that occur on a relatively frequent basis in this disease. There is no study that considers if comorbidities, such as primary biliary cirrhosis, are related to gravity. To determine the correlation between severity and the presence of such complications. 40 patients with systemic sclerosis, dividing them into tertiles according to severity were studied. Dichotomous variables were described using percentages, while dimensional by averages+SD. Statistical inference was performed using chi square test or Kruskal-Wallis test with Dunn post-test, as appropriate. A significance at P<.05 was set. Of all the complications studied there were only differences in severity with acrosteolysis. Within comorbidities, primary biliary cirrhosis is not associated with gravity. Copyright © 2015 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.

Active inference and learning.

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Friston, Karl; FitzGerald, Thomas; Rigoli, Francesco; Schwartenbeck, Philipp; O Doherty, John; Pezzulo, Giovanni

2016-09-01

This paper offers an active inference account of choice behaviour and learning. It focuses on the distinction between goal-directed and habitual behaviour and how they contextualise each other. We show that habits emerge naturally (and autodidactically) from sequential policy optimisation when agents are equipped with state-action policies. In active inference, behaviour has explorative (epistemic) and exploitative (pragmatic) aspects that are sensitive to ambiguity and risk respectively, where epistemic (ambiguity-resolving) behaviour enables pragmatic (reward-seeking) behaviour and the subsequent emergence of habits. Although goal-directed and habitual policies are usually associated with model-based and model-free schemes, we find the more important distinction is between belief-free and belief-based schemes. The underlying (variational) belief updating provides a comprehensive (if metaphorical) process theory for several phenomena, including the transfer of dopamine responses, reversal learning, habit formation and devaluation. Finally, we show that active inference reduces to a classical (Bellman) scheme, in the absence of ambiguity. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Pulmonary MR imaging with ultra-short TEs: Utility for disease severity assessment of connective tissue disease patients

International Nuclear Information System (INIS)

Ohno, Yoshiharu; Nishio, Mizuho; Koyama, Hisanobu; Takenaka, Daisuke; Takahashi, Masaya; Yoshikawa, Takeshi; Matsumoto, Sumiaki; Obara, Makoto; Cauteren, Marc van; Sugimura, Kazuro

2013-01-01

Purpose: To evaluate the utility of pulmonary magnetic resonance (MR) imaging with ultra-short echo times (UTEs) at a 3.0 T MR system for pulmonary functional loss and disease severity assessments of connective tissue disease (CTD) patients with interstitial lung disease (ILD). Materials and methods: This prospective study was approved by the institutional review board, and written informed consent was obtained from 18 CTD patients (eight men and ten women) and eight normal subjects with suspected chest disease (three men and five women). All subjects underwent thin-section MDCT, pulmonary MR imaging with UTEs, pulmonary function test and serum KL-6. Regional T2* maps were generated from each MR data set, and mean T2* values were determined from ROI measurements. From each thin-section MDCT data set, CT-based disease severity was evaluated with a visual scoring system. Mean T2* values for normal and CTD subjects were statistically compared by using Student's t-test. To assess capability for pulmonary functional loss and disease severity assessments, mean T2* values were statistically correlated with pulmonary functional parameters, serum KL-6 and CT-based disease severity. Results: Mean T2* values for normal and CTD subjects were significantly different (p = 0.0019) and showed significant correlations with %VC, %DL CO , serum KL-6 and CT-based disease severity of CTD patients (p < 0.05). Conclusion: Pulmonary MR imaging with UTEs is useful for pulmonary functional loss and disease severity assessments of CTD patients with ILD

Pulmonary MR imaging with ultra-short TEs: Utility for disease severity assessment of connective tissue disease patients

Energy Technology Data Exchange (ETDEWEB)

Ohno, Yoshiharu, E-mail: yosirad@kobe-u.ac.jp [Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Nishio, Mizuho [Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Koyama, Hisanobu [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Takenaka, Daisuke [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo (Japan); Takahashi, Masaya [Advanced Imaging Research Center, Department of Radiology, University of Texas Southwestern Medical Center, Houston, TX (United States); Yoshikawa, Takeshi; Matsumoto, Sumiaki [Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Obara, Makoto; Cauteren, Marc van [Philips Electronics Japan, Tokyo (Japan); Sugimura, Kazuro [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan)

2013-08-15

Purpose: To evaluate the utility of pulmonary magnetic resonance (MR) imaging with ultra-short echo times (UTEs) at a 3.0 T MR system for pulmonary functional loss and disease severity assessments of connective tissue disease (CTD) patients with interstitial lung disease (ILD). Materials and methods: This prospective study was approved by the institutional review board, and written informed consent was obtained from 18 CTD patients (eight men and ten women) and eight normal subjects with suspected chest disease (three men and five women). All subjects underwent thin-section MDCT, pulmonary MR imaging with UTEs, pulmonary function test and serum KL-6. Regional T2* maps were generated from each MR data set, and mean T2* values were determined from ROI measurements. From each thin-section MDCT data set, CT-based disease severity was evaluated with a visual scoring system. Mean T2* values for normal and CTD subjects were statistically compared by using Student's t-test. To assess capability for pulmonary functional loss and disease severity assessments, mean T2* values were statistically correlated with pulmonary functional parameters, serum KL-6 and CT-based disease severity. Results: Mean T2* values for normal and CTD subjects were significantly different (p = 0.0019) and showed significant correlations with %VC, %DL{sub CO}, serum KL-6 and CT-based disease severity of CTD patients (p < 0.05). Conclusion: Pulmonary MR imaging with UTEs is useful for pulmonary functional loss and disease severity assessments of CTD patients with ILD.

Correlation of Deviance in Arterial Oxygenation with Severity of Chronic Liver Disease

International Nuclear Information System (INIS)

Shaukat, A. A.; Zuhaid, M.

2016-01-01

Background: Hepatitis B and C related chronic liver diseases have led to development of a serious threat to the people of South Asia. The main aim of this study was to evaluate the correlation of magnitude of arterial deoxygention to the severity of liver disease. Methods: It was a hospital based cross sectional descriptive study, carried out in the Medical Department of Khyber Teaching Hospital Peshawar. All in all 115 patients were assessed for the severity of the liver diseases and were correlated with arterial deoxygenation using linear regression models. Results: Male to female ratio was 1.5:1. Males infected with hepatitis B, hepatitis C and both were 9, 60 and 1, while females suffered from hepatitis B, Hepatitis C and both were 2, 42 and 1 respectively. The linear relationship between A-a DO2 with severity of liver disease showed positive correlation while PO2 showed negative correlation with severity of liver disease. Conclusion: There was a positive correlation between A-a DO2 and severity of liver diseases while PO2 and severity of liver diseases showed negative correlation. (author)

Interpersonal traits change as a function of disease type and severity in degenerative brain diseases.

Science.gov (United States)

Sollberger, Marc; Neuhaus, John; Ketelle, Robin; Stanley, Christine M; Beckman, Victoria; Growdon, Matthew; Jang, Jung; Miller, Bruce L; Rankin, Katherine P

2011-07-01

Different degenerative brain diseases result in distinct personality changes as a result of divergent patterns of brain damage; however, little is known about the natural history of these personality changes throughout the course of each disease. To investigate how interpersonal traits change as a function of degenerative brain disease type and severity. Using the Interpersonal Adjective Scales, informant ratings of retrospective premorbid and current scores for dominance, extraversion, warmth and ingenuousness were collected annually for 1 to 4 years on 188 patients (67 behavioural variant frontotemporal dementia (bvFTD), 40 semantic dementia (SemD), 81 Alzheimer's disease (AD)) and 65 older healthy controls. Using random coefficient models, interpersonal behaviour scores at very mild, mild or moderate-to-severe disease stages were compared within and between patient groups. Group-level changes from premorbid personality occurred as a function of disease type and severity, and were apparent even at a very mild disease stage (Clinical Dementia Rating=0.5) for all three diseases. Decreases in interpersonal traits were associated with emotional affiliation (ie, extraversion, warmth and ingenuousness) and more rigid interpersonal behaviour differentiated bvFTD and SemD patients from AD patients. Specific changes in affiliative interpersonal traits differentiate degenerative brain diseases even at a very mild disease stage, and patterns of personality change differ across bvFTD, SemD and AD with advancing disease. This study describes the typical progression of change of interpersonal traits in each disease, improving the ability of clinicians and caregivers to predict and plan for symptom progression.

Severe late anemia of hemolytic disease of the newborn

Science.gov (United States)

Mitchell, Simon; James, Andrew

1999-01-01

Late anemia is a well-recognized complication of Rhesus hemolytic disease of the newborn (HDN). The incidence of Rhesus HDN is declining, with a tendency for more severely affected pregnancies to be managed in specialist centres. Consequently, many paediatric departments may see relatively few affected infants with comparatively mild disease, and the risk of late anemia in such cases may not always be appreciated. Two cases of infants born with evidence of Rhesus isoimmunization noted at birth and encountering no immediate problems other than mild hyperbilirubinemia are described. After an uneventful early neonatal course, both infants were discharged without follow-up and presented in the second to third weeks of life with severe, life-threatening anemia, leading to neurological sequelae in one case. The importance of close surveillance, including hemoglobin measurements, in all infants with Rhesus hemolytic disease, irrespective of initial severity, is reiterated. PMID:20212966

Inference for Ecological Dynamical Systems: A Case Study of Two Endemic Diseases

Directory of Open Access Journals (Sweden)

Daniel A. Vasco

2012-01-01

Full Text Available A Bayesian Markov chain Monte Carlo method is used to infer parameters for an open stochastic epidemiological model: the Markovian susceptible-infected-recovered (SIR model, which is suitable for modeling and simulating recurrent epidemics. This allows exploring two major problems of inference appearing in many mechanistic population models. First, trajectories of these processes are often only partly observed. For example, during an epidemic the transmission process is only partly observable: one cannot record infection times. Therefore, one only records cases (infections as the observations. As a result some means of imputing or reconstructing individuals in the susceptible cases class must be accomplished. Second, the official reporting of observations (cases in epidemiology is typically done not as they are actually recorded but at some temporal interval over which they have been aggregated. To address these issues, this paper investigates the following problems. Parameter inference for a perfectly sampled open Markovian SIR is first considered. Next inference for an imperfectly observed sample path of the system is studied. Although this second problem has been solved for the case of closed epidemics, it has proven quite difficult for the case of open recurrent epidemics. Lastly, application of the statistical theory is made to measles and pertussis epidemic time series data from 60 UK cities.

Geostatistical inference using crosshole ground-penetrating radar

DEFF Research Database (Denmark)

Looms, Majken C; Hansen, Thomas Mejer; Cordua, Knud Skou

2010-01-01

of the subsurface are used to evaluate the uncertainty of the inversion estimate. We have explored the full potential of the geostatistical inference method using several synthetic models of varying correlation structures and have tested the influence of different assumptions concerning the choice of covariance...... reflection profile. Furthermore, the inferred values of the subsurface global variance and the mean velocity have been corroborated with moisturecontent measurements, obtained gravimetrically from samples collected at the field site....

Severe form of Legionnaires' disease in an immunocompetent patient

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Andrijević Ilija

2009-01-01

Full Text Available Background. Legionnaires' disease (LD is a pneumonia caused by Legionella pneumophila (LP. The disease occurs more often in immunocompromised persons and can be manifested by severe pneumonia, multiple organ failure and has a high mortality. Case report. Immunocompetent patient, male, 53- year old, with severe form of LB had fever, cough, weakness and diarrhea as the initial symptoms of the disease. Laboratory results showed increased number of leukocytes, increased values of acute phase proteins, liver enzymes and hyponatremia. Computed tomography of the chest showed the marked inflammatory lesions on both sides. Pathohystological analysis of the samples retrieved by bronchoscopy pointed to a pneumonia, and diagnosis of LD was confirmed by positive urine test for LP antigen. Later, the disease was complicated by acute adult respiratory distress syndrome (ARDS. Treatment with antibiotics (erythromycin, rifampicin, azithromycin combined with ARDS treatment led to a clinical recovery of the patient together with complete resolution of inflammatory lesions seen on chest radiography. Conclusion. In severe pneumonias it is necessary to consider LD in differential diagnosis, perform tests with aim of detecting LP and apply adequate antibiotic treatment in order to accomplish positive outcome of the therapy and prevent complications.

Severity of Anxiety Disorders in Patients with Chronic Obstructive Pulmonary Disease

Directory of Open Access Journals (Sweden)

Mitra Safa

2015-10-01

Full Text Available Objective: Patients with chronic physical diseases sometimes show increased loss of function; such patients need more care. Anxiety is a well-known symptom that is prevalent among chronic obstructive pulmonary disease patients that can prolong and increase the risk of hospitalization. The purpose of this study was to evaluate the severity of anxiety in the mentioned patients and to examine the presence of symptoms and appropriate treatment strategies to understand the role of psychological functions in physical patients.Methods: This was a cross sectional study conducted in Masih Daneshvari Hospital. One hundred forty- three patients entered into the project by accessible method and signed the informed consent; they filled demographic information and Hamilton anxiety and depression questionnaires. Data were analyzed by SPSS-16 .Results: Of the participants, 68% were above 60 years of age; 78% were male; 89% were married; and 38% were self-employed. Also, among the participants, 51% were illiterate; 72% had history of smoking; 46% had history of substance abuse; and 49% had moderate to severe anxiety disorder. Moreover, of the patients with severe anxiety, 41.3% had severe muscle spasms; and severe sleeplessness was found in 38.5% of those with severe anxiety disorder. Severe anxiety related symptoms were found in 20.3% of the patients with severe anxiety disorder. Depressed mood was found in 27.3% of the patients with severe anxiety disorder. Severe physical and muscular signs were found in 35.7% of those with severe anxiety disorder .Conclusion: According to our findings, many chronic diseases such as chronic obstructive pulmonary disease may contain anxiety and depression which result in vulnerability. Therefore, evaluation of anxiety in such patients is of importance for alleviating the disease.

Parenting Stress Related to Behavioral Problems and Disease Severity in Children with Problematic Severe Asthma

NARCIS (Netherlands)

Verkleij, Marieke; van de Griendt, Erik-Jonas; Colland, Vivian; van Loey, Nancy; Beelen, Anita; Geenen, Rinie

2015-01-01

Our study examined parenting stress and its association with behavioral problems and disease severity in children with problematic severe asthma. Research participants were 93 children (mean age 13.4 +/- A 2.7 years) and their parents (86 mothers, 59 fathers). As compared to reference groups

Determinants of severe periodontal disease among diabetes ...

African Journals Online (AJOL)

Aim: To determine the prevalence and factors associated with severe periodontal disease among diabetic patients. Design: Cross sectional study. Study subjects and methods: Diabetes mellitus patients visiting their regularly scheduled medical review at NCH Diabetic clinic participated in the study. Data collection was ...

Parenting Stress Related to Behavioral Problems and Disease Severity in Children with Problematic Severe Asthma

NARCIS (Netherlands)

Verkleij, Marieke; van de Griendt, E-J.; Colland, V.; Van Loey, N.E.E.; Beelen, A.; Geenen, R.

2015-01-01

Our study examined parenting stress and its association with behavioral problems and disease severity in children with problematic severe asthma. Research participants were 93 children (mean age 13.4 ± 2.7 years) and their parents (86 mothers, 59 fathers). As compared to reference groups analyzed in

Fecal Calprotectin during Pregnancy in Women with Moderate-Severe Inflammatory Bowel Disease

DEFF Research Database (Denmark)

Kammerlander, Heidi; Nielsen, Jan; Kjeldsen, Jens

2018-01-01

Background Fecal calprotectin (FC) is a biomarker used for assessing disease activity among IBD patients. Sparse knowledge exists as to whether FC correlates with clinical disease activity during pregnancy. Our aim was to assess FC and selected biomarkers in women with moderate-severe IBD...... and correlate them with clinical disease activity scores in pregnant women. Methods We identified a nationwide cohort of 219 singleton pregnancies in women with moderate-severe disease (all treated with anti-tumor recrosis factor-α [anti-TNF-α] therapy during pregnancy), and we reviewed the medical records....../kg in women with clinically inactive, mild, and moderate-severe disease activity, respectively, and were significantly higher among the women with clinical disease activity. ROC curves for disease activity were computed according to the preconception period: 0.81 (95% confidence interval [CI], 0...

Impact of smoking on disease severity in patients with plaque type psoriasis

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Nuriye Kayıran

2015-12-01

Full Text Available Background and Design: Psoriasis is a chronic enflammatory systemic disease involving skin, scalp, nails and joints and is characterized by remission and activation periods. Although the etiopathogenesis of psoriasis has not been fully elucidated, many genetic and environmental factors are believed to have a role in the development of the disease. Obesity, smoking, family history of psoriasis, repetitive physical traumas and stress are the factors thought to affect the severity and progress of the disease. In this study, we aimed to investigate the effects of smoking on the clinical severity of psoriasis in patients with chronic plaque psoriasis. Materials and Methods: Three hundred outpatients with chronic plaque-type psoriasis were enrolled in the study. Data on age, gender, family history, smoking history, educational status, history of chronic illness, and psoriasis area severity index (PASI scores were recorded for each patient. The effects of these factors on PASI were evaluated. Results: Current smokers, never smokers and former smokers were compared in terms of disease severity. The median PASI values of current smokers and never smokers were compared. The mean PASI value was statistically significantly higher in smokers (p=0.049. In multiple logistic regression analysis, it was detected that the risk of moderate and severe disease increased by male sex 2 times, by family history 2.3 times, and by smoking period above 20 years, 10 times. In smokers of more than 1 pack a day, this risk further increased. Conclusion: On the basis of these data, it may be concluded that smoking affects the severity of disease significantly. In addition to amount of daily cigarette consumption, smoking period was shown to have an effect on the severity of disease. Elimination of risk factors such as smoking, which appears to increase the severity of diseases, may be helpful in the management of psoriasis.

Inference of R 0 and Transmission Heterogeneity from the Size Distribution of Stuttering Chains

Science.gov (United States)

Blumberg, Seth; Lloyd-Smith, James O.

2013-01-01

For many infectious disease processes such as emerging zoonoses and vaccine-preventable diseases, and infections occur as self-limited stuttering transmission chains. A mechanistic understanding of transmission is essential for characterizing the risk of emerging diseases and monitoring spatio-temporal dynamics. Thus methods for inferring and the degree of heterogeneity in transmission from stuttering chain data have important applications in disease surveillance and management. Previous researchers have used chain size distributions to infer , but estimation of the degree of individual-level variation in infectiousness (as quantified by the dispersion parameter, ) has typically required contact tracing data. Utilizing branching process theory along with a negative binomial offspring distribution, we demonstrate how maximum likelihood estimation can be applied to chain size data to infer both and the dispersion parameter that characterizes heterogeneity. While the maximum likelihood value for is a simple function of the average chain size, the associated confidence intervals are dependent on the inferred degree of transmission heterogeneity. As demonstrated for monkeypox data from the Democratic Republic of Congo, this impacts when a statistically significant change in is detectable. In addition, by allowing for superspreading events, inference of shifts the threshold above which a transmission chain should be considered anomalously large for a given value of (thus reducing the probability of false alarms about pathogen adaptation). Our analysis of monkeypox also clarifies the various ways that imperfect observation can impact inference of transmission parameters, and highlights the need to quantitatively evaluate whether observation is likely to significantly bias results. PMID:23658504

Inferring infection hazard in wildlife populations by linking data across individual and population scales

Science.gov (United States)

Pepin, Kim M.; Kay, Shannon L.; Golas, Ben D.; Shriner, Susan A.; Gilbert, Amy T.; Miller, Ryan S.; Graham, Andrea L.; Riley, Steven; Cross, Paul C.; Samuel, Michael D.; Hooten, Mevin B.; Hoeting, Jennifer A.; Lloyd-Smith, James O.; Webb, Colleen T.; Buhnerkempe, Michael G.

2017-01-01

Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.

Evaluation of neurological complications using who warning signs for dengue disease severity

International Nuclear Information System (INIS)

Akmal, A.; Tauseef, A.; Akram, T.

2015-01-01

In 2009 a new classification of dengue was proposed by WHO Tropical Disease Research, which classifies dengue into dengue (D), dengue with warning signs (DW) and severe dengue (SD). This classification highlights the warning signs of dengue disease severity. Neurological complications are one of the most serious complications of dengue disease. This study was carried out to see association of neurological complications of dengue patients with WHO warning signs for dengue disease severity, and their outcome. Methods: It was a cross-sectional analytical study and included 180 diagnosed and registered cases of dengue hemorrhagic fever. The participants were subjected to a detailed clinical evaluation, laboratory assessment including blood counts, hematocrit, serology for dengue fever and sonography at 24 hours and 48 hours of their admission. Results: Twenty-six percent patients were suffering from neurological complications due to dengue. The warning signs for dengue disease severity like altered sensorium (85.5%, p=0.001), raised hematocrit (n=47, p=0.029), gall bladder wall thickening, pleural effusion and ascites on sonographic report (n=47, p=0.024), were strongly associated with the neurological complications. Conclusion: Our study reveals significant association of WHO warning signs for dengue disease severity with neurological complications of dengue disease. (author)

A novel missense Norrie disease mutation associated with a severe ocular phenotype.

Science.gov (United States)

Khan, Arif O; Shamsi, Farrukh A; Al-Saif, Amr; Kambouris, Marios

2004-01-01

Clinical findings and pedigree analysis led to the diagnosis of severe Norrie disease in two brothers. DNA sequencing demonstrated a novel missense mutation (703G>T) that significantly alters predicted protein structure. Less severe retinal developmental disease may be associated with milder mutations in the Norrie disease gene.

Pumpkin powdery mildew disease severity influences the fungal diversity of the phyllosphere.

Science.gov (United States)

Zhang, Zhuo; Luo, Luyun; Tan, Xinqiu; Kong, Xiao; Yang, Jianguo; Wang, Duanhua; Zhang, Deyong; Jin, Decai; Liu, Yong

2018-01-01

Phyllosphere microbiota play a crucial role in plant-environment interactions and their microbial community and function are influenced by biotic and abiotic factors. However, there is little research on how pathogens affect the microbial community of phyllosphere fungi. In this study, we collected 16 pumpkin ( Cucurbita moschata ) leaf samples which exhibited powdery mildew disease, with a severity ranging from L1 (least severe) to L4 (most severe). The fungal community structure and diversity was examined by Illumina MiSeq sequencing of the internal transcribed spacer (ITS) region of ribosomal RNA genes. The results showed that the fungal communities were dominated by members of the Basidiomycota and Ascomycota. The Podosphaera was the most dominant genus on these infected leaves, which was the key pathogen responsible for the pumpkin powdery mildew. The abundance of Ascomycota and Podosphaera increased as disease severity increased from L1 to L4, and was significantly higher at disease severity L4 ( P powdery mildew disease severity.

PTX3 predicts severe disease in febrile patients at the emergency department

NARCIS (Netherlands)

de Kruif, Martijn D.; Limper, Maarten; Sierhuis, Karlien; Wagenaar, Jiri F. P.; Spek, C. Arnold; Garlanda, Cecilia; Cotena, Alessia; Mantovani, Alberto; ten Cate, Hugo; Reitsma, Pieter H.; van Gorp, Eric C. M.

2010-01-01

Objectives: The long pentraxin PTX3 is a promising marker of disease severity in severely ill patients. In order to identify patients warranting critical care as quickly as possible, we investigated the value of PTX3 as a biomarker for disease severity in patients presenting with fever at the

Erythroblast cell expansion as a marker for disease severity in β

African Journals Online (AJOL)

Determination of the state of presentation of the disease (mild, moderate or severe) is based upon a number of clinical and hematological parameters and currently, there is no accurate predictive methodology to gauge the final severity of the disease in a particular patient. While erythropoiesis, the process generating red ...

Dysarthria of Motor Neuron Disease: Clinician Judgments of Severity.

Science.gov (United States)

Seikel, J. Anthony; And Others

1990-01-01

This study investigated the relationship between the temporal-acoustic parameters of the speech of 15 adults with motor neuron disease. Differences in predictions of the progression of the disease and clinician judgments of dysarthria severity were found to relate to the linguistic systems of both speaker and judge. (Author/JDD)

Markers of disease severity are associated with malnutrition in Parkinson's disease.

Directory of Open Access Journals (Sweden)

Jamie M Sheard

Full Text Available OBJECTIVE: In Parkinson's disease (PD, commonly reported risk factors for malnutrition in other populations commonly occur. Few studies have explored which of these factors are of particular importance in malnutrition in PD. The aim was to identify the determinants of nutritional status in people with Parkinson's disease (PWP. METHODS: Community-dwelling PWP (>18 years were recruited (n = 125; 73M/52F; Mdn 70 years. Self-report assessments included Beck's Depression Inventory (BDI, Spielberger Trait Anxiety Inventory (STAI, Scales for Outcomes in Parkinson's disease-Autonomic (SCOPA-AUT, Modified Constipation Assessment Scale (MCAS and Freezing of Gait Questionnaire (FOG-Q. Information about age, PD duration, medications, co-morbid conditions and living situation was obtained. Addenbrooke's Cognitive Examination (ACE-R, Unified Parkinson's Disease Rating Scale (UPDRS II and UPDRS III were performed. Nutritional status was assessed using the Subjective Global Assessment (SGA as part of the scored Patient-Generated Subjective Global Assessment (PG-SGA. RESULTS: Nineteen (15% were malnourished (SGA-B. Median PG-SGA score was 3. More of the malnourished were elderly (84% vs. 71% and had more severe disease (H&Y: 21% vs. 5%. UPDRS II and UPDRS III scores and levodopa equivalent daily dose (LEDD/body weight (mg/kg were significantly higher in the malnourished (Mdn 18 vs. 15; 20 vs. 15; 10.1 vs. 7.6 respectively. Regression analyses revealed older age at diagnosis, higher LEDD/body weight (mg/kg, greater UPDRS III score, lower STAI score and higher BDI score as significant predictors of malnutrition (SGA-B. Living alone and higher BDI and UPDRS III scores were significant predictors of a higher log-adjusted PG-SGA score. CONCLUSIONS: In this sample of PWP, the rate of malnutrition was higher than that previously reported in the general community. Nutrition screening should occur regularly in those with more severe disease and depression. Community

Inference in {open_quotes}poor{close_quotes} languages

Energy Technology Data Exchange (ETDEWEB)

Petrov, S. [Oak Ridge National Lab., TN (United States)

1996-12-31

Languages with a solvable implication problem but without complete and consistent systems of inference rules ({open_quote}poor{close_quote} languages) are considered. The problem of existence of a finite, complete, and consistent inference rule system for a {open_quotes}poor{close_quotes} language is stated independently of the language or the rule syntax. Several properties of the problem are proved. An application of the results to the language of join dependencies is given.

Polynomial Chaos Surrogates for Bayesian Inference

KAUST Repository

Le Maitre, Olivier

2016-01-06

The Bayesian inference is a popular probabilistic method to solve inverse problems, such as the identification of field parameter in a PDE model. The inference rely on the Bayes rule to update the prior density of the sought field, from observations, and derive its posterior distribution. In most cases the posterior distribution has no explicit form and has to be sampled, for instance using a Markov-Chain Monte Carlo method. In practice the prior field parameter is decomposed and truncated (e.g. by means of Karhunen- Lo´eve decomposition) to recast the inference problem into the inference of a finite number of coordinates. Although proved effective in many situations, the Bayesian inference as sketched above faces several difficulties requiring improvements. First, sampling the posterior can be a extremely costly task as it requires multiple resolutions of the PDE model for different values of the field parameter. Second, when the observations are not very much informative, the inferred parameter field can highly depends on its prior which can be somehow arbitrary. These issues have motivated the introduction of reduced modeling or surrogates for the (approximate) determination of the parametrized PDE solution and hyperparameters in the description of the prior field. Our contribution focuses on recent developments in these two directions: the acceleration of the posterior sampling by means of Polynomial Chaos expansions and the efficient treatment of parametrized covariance functions for the prior field. We also discuss the possibility of making such approach adaptive to further improve its efficiency.

Link between sewage-derived nitrogen pollution and coral disease severity in Guam

International Nuclear Information System (INIS)

Redding, Jamey E.; Myers-Miller, Roxanna L.; Baker, David M.; Fogel, Marilyn; Raymundo, Laurie J.; Kim, Kiho

2013-01-01

Highlights: • We evaluated sources of nitrogen pollution in coastal waters of Guam. • Stable isotope analyses showed the dominance of sewage-derived nitrogen. • Nitrogen inputs correlated with coral disease severity. • Planned population increase on Guam will exacerbate impact of coral diseases. -- Abstract: The goals of this study were to evaluate the contribution of sewage-derived N to reef flat communities in Guam and to assess the impact of N inputs on coral disease. We used stable isotope analysis of macroalgae and a soft coral, sampled bimonthly, as a proxy for N dynamics, and surveyed Porites spp., a dominant coral taxon on Guam’s reefs, for white syndrome disease severity. Results showed a strong influence of sewage-derived N in nearshore waters, with δ 15 N values varying as a function of species sampled, site, and sampling date. Increases in sewage-derived N correlated significantly with increases in the severity of disease among Porites spp., with δ 15 N values accounting for more than 48% of the variation in changes in disease severity. The anticipated military realignment and related population increase in Guam are expected to lead to increased white syndrome infections and other coral diseases

Influenza and other respiratory viruses: standardizing disease severity in surveillance and clinical trials.

Science.gov (United States)

Rath, Barbara; Conrad, Tim; Myles, Puja; Alchikh, Maren; Ma, Xiaolin; Hoppe, Christian; Tief, Franziska; Chen, Xi; Obermeier, Patrick; Kisler, Bron; Schweiger, Brunhilde

2017-06-01

Influenza-Like Illness is a leading cause of hospitalization in children. Disease burden due to influenza and other respiratory viral infections is reported on a population level, but clinical scores measuring individual changes in disease severity are urgently needed. Areas covered: We present a composite clinical score allowing individual patient data analyses of disease severity based on systematic literature review and WHO-criteria for uncomplicated and complicated disease. The 22-item ViVI Disease Severity Score showed a normal distribution in a pediatric cohort of 6073 children aged 0-18 years (mean age 3.13; S.D. 3.89; range: 0 to 18.79). Expert commentary: The ViVI Score was correlated with risk of antibiotic use as well as need for hospitalization and intensive care. The ViVI Score was used to track children with influenza, respiratory syncytial virus, human metapneumovirus, human rhinovirus, and adenovirus infections and is fully compliant with regulatory data standards. The ViVI Disease Severity Score mobile application allows physicians to measure disease severity at the point-of care thereby taking clinical trials to the next level.

Inference of R(0 and transmission heterogeneity from the size distribution of stuttering chains.

Directory of Open Access Journals (Sweden)

Seth Blumberg

Full Text Available For many infectious disease processes such as emerging zoonoses and vaccine-preventable diseases, [Formula: see text] and infections occur as self-limited stuttering transmission chains. A mechanistic understanding of transmission is essential for characterizing the risk of emerging diseases and monitoring spatio-temporal dynamics. Thus methods for inferring [Formula: see text] and the degree of heterogeneity in transmission from stuttering chain data have important applications in disease surveillance and management. Previous researchers have used chain size distributions to infer [Formula: see text], but estimation of the degree of individual-level variation in infectiousness (as quantified by the dispersion parameter, [Formula: see text] has typically required contact tracing data. Utilizing branching process theory along with a negative binomial offspring distribution, we demonstrate how maximum likelihood estimation can be applied to chain size data to infer both [Formula: see text] and the dispersion parameter that characterizes heterogeneity. While the maximum likelihood value for [Formula: see text] is a simple function of the average chain size, the associated confidence intervals are dependent on the inferred degree of transmission heterogeneity. As demonstrated for monkeypox data from the Democratic Republic of Congo, this impacts when a statistically significant change in [Formula: see text] is detectable. In addition, by allowing for superspreading events, inference of [Formula: see text] shifts the threshold above which a transmission chain should be considered anomalously large for a given value of [Formula: see text] (thus reducing the probability of false alarms about pathogen adaptation. Our analysis of monkeypox also clarifies the various ways that imperfect observation can impact inference of transmission parameters, and highlights the need to quantitatively evaluate whether observation is likely to significantly bias results.

Parkinson's disease severity and motor subtype influence physical capacity components

Directory of Open Access Journals (Sweden)

Marcelo Pinto Pereira

2013-09-01

Full Text Available The severity of Parkinson's disease (PD and PD's motor subtypes influence the components of physical capacity. The aim of this study was to investigate the impact of both PD severity and motor subtype in the performance of these components. Thirty-six PD patients were assigned into four groups: Tremor (TD initial and TD mild, akinetic-rigid (AR initial, and AR mild. Patients' strength, balance, coordination, mobility and aerobic capacity were evaluated and groups were compared using a two-way ANOVA (severity and subtype as factors. AR presents a poorer performance than TD in almost all tests. Also this performance was worsened with the advance of the disease in AR, contrary to TD. We conclude that AR and TD subgroups are different about their performance on physical capacity components, moreover, this performance worsens with the advance of the disease of the AR group, but not for TD.

Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease.

Science.gov (United States)

Modena, Brian D; Bleecker, Eugene R; Busse, William W; Erzurum, Serpil C; Gaston, Benjamin M; Jarjour, Nizar N; Meyers, Deborah A; Milosevic, Jadranka; Tedrow, John R; Wu, Wei; Kaminski, Naftali; Wenzel, Sally E

2017-06-01

Severe asthma (SA) is a heterogeneous disease with multiple molecular mechanisms. Gene expression studies of bronchial epithelial cells in individuals with asthma have provided biological insight and underscored possible mechanistic differences between individuals. Identify networks of genes reflective of underlying biological processes that define SA. Airway epithelial cell gene expression from 155 subjects with asthma and healthy control subjects in the Severe Asthma Research Program was analyzed by weighted gene coexpression network analysis to identify gene networks and profiles associated with SA and its specific characteristics (i.e., pulmonary function tests, quality of life scores, urgent healthcare use, and steroid use), which potentially identified underlying biological processes. A linear model analysis confirmed these findings while adjusting for potential confounders. Weighted gene coexpression network analysis constructed 64 gene network modules, including modules corresponding to T1 and T2 inflammation, neuronal function, cilia, epithelial growth, and repair mechanisms. Although no network selectively identified SA, genes in modules linked to epithelial growth and repair and neuronal function were markedly decreased in SA. Several hub genes of the epithelial growth and repair module were found located at the 17q12-21 locus, near a well-known asthma susceptibility locus. T2 genes increased with severity in those treated with corticosteroids but were also elevated in untreated, mild-to-moderate disease compared with healthy control subjects. T1 inflammation, especially when associated with increased T2 gene expression, was elevated in a subgroup of younger patients with SA. In this hypothesis-generating analysis, gene expression networks in relation to asthma severity provided potentially new insight into biological mechanisms associated with the development of SA and its phenotypes.

Intraventricular Hemorrhage in Moderate to Severe Congenital Heart Disease.

Science.gov (United States)

Ortinau, Cynthia M; Anadkat, Jagruti S; Smyser, Christopher D; Eghtesady, Pirooz

2018-01-01

Determine the prevalence of intraventricular hemorrhage in infants with moderate to severe congenital heart disease, investigate the impact of gestational age, cardiac diagnosis, and cardiac intervention on intraventricular hemorrhage, and compare intraventricular hemorrhage rates in preterm infants with and without congenital heart disease. A single-center retrospective review. A tertiary care children's hospital. All infants admitted to St. Louis Children's Hospital from 2007 to 2012 with moderate to severe congenital heart disease requiring cardiac intervention in the first 90 days of life and all preterm infants without congenital heart disease or congenital anomalies/known genetic diagnoses admitted during the same time period. None. Cranial ultrasound data were reviewed for presence/severity of intraventricular hemorrhage. Head CT and brain MRI data were also reviewed in the congenital heart disease infants. Univariate analyses were undertaken to determine associations with intraventricular hemorrhage, and a final multivariate logistic regression model was performed. There were 339 infants with congenital heart disease who met inclusion criteria and 25.4% were born preterm. Intraventricular hemorrhage was identified on cranial ultrasound in 13.3% of infants, with the majority of intraventricular hemorrhage being low-grade (grade I/II). The incidence increased as gestational age decreased such that intraventricular hemorrhage was present in 8.7% of term infants, 19.2% of late preterm infants, 26.3% of moderately preterm infants, and 53.3% of very preterm infants. There was no difference in intraventricular hemorrhage rates between cardiac diagnoses. Additionally, the rate of intraventricular hemorrhage did not increase after cardiac intervention, with only three infants demonstrating new/worsening high-grade (grade III/IV) intraventricular hemorrhage after surgery. In a multivariate model, only gestational age at birth and African-American race were predictors

Parenting Stress Related to Behavioral Problems and Disease Severity in Children with Problematic Severe Asthma.

Science.gov (United States)

Verkleij, Marieke; van de Griendt, Erik-Jonas; Colland, Vivian; van Loey, Nancy; Beelen, Anita; Geenen, Rinie

2015-09-01

Our study examined parenting stress and its association with behavioral problems and disease severity in children with problematic severe asthma. Research participants were 93 children (mean age 13.4 ± 2.7 years) and their parents (86 mothers, 59 fathers). As compared to reference groups analyzed in previous research, scores on the Parenting Stress Index in mothers and fathers of the children with problematic severe asthma were low. Higher parenting stress was associated with higher levels of internalizing and externalizing behavioral problems in children (Child Behavior Checklist). Higher parenting stress in mothers was also associated with higher airway inflammation (FeNO). Thus, although parenting stress was suggested to be low in this group, higher parenting stress, especially in the mother, is associated with more airway inflammation and greater child behavioral problems. This indicates the importance of focusing care in this group on all possible sources of problems, i.e., disease exacerbations and behavioral problems in the child as well as parenting stress.

Switching between Abstract Rules Reflects Disease Severity but Not Dopaminergic Status in Parkinson's Disease

Science.gov (United States)

Kehagia, Angie A.; Cools, Roshan; Barker, Roger A.; Robbins, Trevor W.

2009-01-01

This study sought to disambiguate the impact of Parkinson's disease (PD) on cognitive control as indexed by task set switching, by addressing discrepancies in the literature pertaining to disease severity and paradigm heterogeneity. A task set is governed by a rule that determines how relevant stimuli (stimulus set) map onto specific responses…

Celiac Disease in Children with Moderate-to-Severe Iron-deficiency Anemia.

Science.gov (United States)

Narang, Manish; Natarajan, Ravikumar; Shah, Dheeraj; Puri, Amarender Singh; Manchanda, Vikas; Kotru, Mrinalini

2018-01-15

To evaluate the proportion of children with moderate to severe iron-deficiency anemia who have associated celiac disease. This cross-sectional analytical study was conducted among children aged 1 to 12 years of age with moderate-to-severe iron deficiency anemia and control children without anemia. Serum IgA-tissue trans-glutaminase levels were assessed in both cases and controls. All children with positive celiac serology underwent upper gastrointestinal endoscopy and duodenal biopsy; biopsy finding of Marsh grade 3 was considered positive for celiac disease. There were 152 anemic children and 152 controls with mean (SD) hemoglobinof 7.7 (1.8) and 12.2 (0.74) g/dL, respectively. 16 (10.5%) cases and 3 (2%) control patients had positive serology for celiac disease [OR (95% CI) 5.33 (1.52-18.67), P=0.007]. Six (3.9%) children with iron-deficiency anemia and none of the controls had biopsy features diagnostic of celiac disease. In the Northern Indian tertiary-care hospital outpatient setting, Celiac disease was associated with 4% of children presenting with moderate-to-severe anemia.

Genomic inference accurately predicts the timing and severity of a recent bottleneck in a non-model insect population

Science.gov (United States)

McCoy, Rajiv C.; Garud, Nandita R.; Kelley, Joanna L.; Boggs, Carol L.; Petrov, Dmitri A.

2015-01-01

The analysis of molecular data from natural populations has allowed researchers to answer diverse ecological questions that were previously intractable. In particular, ecologists are often interested in the demographic history of populations, information that is rarely available from historical records. Methods have been developed to infer demographic parameters from genomic data, but it is not well understood how inferred parameters compare to true population history or depend on aspects of experimental design. Here we present and evaluate a method of SNP discovery using RNA-sequencing and demographic inference using the program δaδi, which uses a diffusion approximation to the allele frequency spectrum to fit demographic models. We test these methods in a population of the checkerspot butterfly Euphydryas gillettii. This population was intentionally introduced to Gothic, Colorado in 1977 and has since experienced extreme fluctuations including bottlenecks of fewer than 25 adults, as documented by nearly annual field surveys. Using RNA-sequencing of eight individuals from Colorado and eight individuals from a native population in Wyoming, we generate the first genomic resources for this system. While demographic inference is commonly used to examine ancient demography, our study demonstrates that our inexpensive, all-in-one approach to marker discovery and genotyping provides sufficient data to accurately infer the timing of a recent bottleneck. This demographic scenario is relevant for many species of conservation concern, few of which have sequenced genomes. Our results are remarkably insensitive to sample size or number of genomic markers, which has important implications for applying this method to other non-model systems. PMID:24237665

Severity of self-reported diseases and symptoms in Denmark

DEFF Research Database (Denmark)

Iburg, Kim Moesgaard; Rasmussen, Niels Kristian; Avlund, Kirsten

2006-01-01

, more frequently than males, reported on all symptoms and all disease groups except injuries. People with relatively low levels of education reported most diseases, especially musculoskeletal and cardiovascular diseases, more frequently than people with higher education. Age-adjusted mean SF-36 scores...... for all dimensions combined showed that the symptoms of melancholy/depression and breathing difficulties, psychiatric disorders and respiratory diseases scored lowest (i.e. were most often associated with worse health). Females had lower SF-36 combined scores (worse health) than males on all symptoms. We......OBJECTIVE: To estimate and rank the relative severity of self-reported diseases and symptoms in Denmark. METHOD: The 1994 Danish Health and Morbidity Survey collected data from 5,472 Danes older than 16 years of age. Interviews (response frequency: 79%) gave information on diseases and symptoms...

Information-Theoretic Inference of Large Transcriptional Regulatory Networks

Directory of Open Access Journals (Sweden)

Meyer Patrick

2007-01-01

Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

Information-Theoretic Inference of Large Transcriptional Regulatory Networks

Directory of Open Access Journals (Sweden)

Patrick E. Meyer

2007-06-01

Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies

DEFF Research Database (Denmark)

George, Michaela F; Briggs, Farren B S; Shao, Xiaorong

2016-01-01

associated with disease severity after accounting for cohort, sex, age at onset, and HLA-DRB1*15:01. After restricting analyses to cases with disease duration ≥10 years, associations were null (p value ≥0.05). No SNP was associated with disease severity after adjusting for multiple testing. CONCLUSIONS......OBJECTIVE: We investigated the association between 52 risk variants identified through genome-wide association studies and disease severity in multiple sclerosis (MS). METHODS: Ten unique MS case data sets were analyzed. The Multiple Sclerosis Severity Score (MSSS) was calculated using the Expanded...

Unsupported inferences of high-severity fire in historical dry forests of the western United States: Response to Williams and Baker

Science.gov (United States)

Fulé, Peter Z.; Swetnam, Thomas W.; Brown, Peter M.; Falk, Donald A.; Peterson, David L.; Allen, Craig D.; Aplet, Gregory H.; Battaglia, Mike A.; Binkley, Dan; Farris, Calvin; Keane, Robert E.; Margolis, Ellis Q.; Grissino-Mayer, Henri; Miller, Carol; Sieg, Carolyn Hull; Skinner, Carl; Stephens, Scott L.; Taylor, Alan

2014-01-01

Reconstructions of dry western US forests in the late 19th century in Arizona, Colorado and Oregon based on General Land Office records were used by Williams & Baker (2012; Global Ecology and Biogeography, 21, 1042–1052; hereafter W&B) to infer past fire regimes with substantial moderate and high-severity burning. The authors concluded that present-day large, high-severity fires are not distinguishable from historical patterns. We present evidence of important errors in their study. First, the use of tree size distributions to reconstruct past fire severity and extent is not supported by empirical age–size relationships nor by studies that directly quantified disturbance history in these forests. Second, the fire severity classification of W&B is qualitatively different from most modern classification schemes, and is based on different types of data, leading to an inappropriate comparison. Third, we note that while W&B asserted ‘surprising’ heterogeneity in their reconstructions of stand density and species composition, their data are not substantially different from many previous studies which reached very different conclusions about subsequent forest and fire behaviour changes. Contrary to the conclusions of W&B, the preponderance of scientific evidence indicates that conservation of dry forest ecosystems in the western United States and their ecological, social and economic value is not consistent with a present-day disturbance regime of large, high-severity fires, especially under changing climate

Health-related quality of life is related to COPD disease severity

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Rönmark Eva

2005-09-01

Full Text Available Abstract Background The aim of this study was to evaluate the association between health-related quality of life (HRQL and disease severity using lung function measures. Methods A survey was performed in subjects with COPD in Sweden. 168 subjects (70 women, mean age 64.3 years completed the generic HRQL questionnaire, the Short Form 36 (SF-36, the disease-specific HRQL questionnaire; the St George's Respiratory Questionnaire (SGRQ, and the utility measure, the EQ-5D. The subjects were divided into four severity groups according to FEV1 per cent of predicted normal using two clinical guidelines: GOLD and BTS. Age, gender, smoking status and socio-economic group were regarded as confounders. Results The COPD severity grades affected the SGRQ Total scores, varying from 25 to 53 (GOLD p = 0.0005 and from 25 to 45 (BTS p = 0.0023. The scores for SF-36 Physical were significantly associated with COPD severity (GOLD p = 0.0059, BTS p = 0.032. No significant association were noticed for the SF-36, Mental Component Summary scores and COPD severity. Scores for EQ-5D VAS varied from 73 to 37 (GOLD I-IV p = 0.0001 and from 73 to 50 (BTS 0-III p = 0.0007. The SGRQ Total score was significant between age groups (p = 0.0047. No significant differences in HRQL with regard to gender, smoking status or socio-economic group were noticed. Conclusion The results show that HRQL in COPD deteriorates with disease severity and with age. These data show a relationship between HRQL and disease severity obtained by lung function.

Simultaneous inference for model averaging of derived parameters

DEFF Research Database (Denmark)

Jensen, Signe Marie; Ritz, Christian

2015-01-01

Model averaging is a useful approach for capturing uncertainty due to model selection. Currently, this uncertainty is often quantified by means of approximations that do not easily extend to simultaneous inference. Moreover, in practice there is a need for both model averaging and simultaneous...... inference for derived parameters calculated in an after-fitting step. We propose a method for obtaining asymptotically correct standard errors for one or several model-averaged estimates of derived parameters and for obtaining simultaneous confidence intervals that asymptotically control the family...

Decreased ADAMTS 13 Activity is Associated With Disease Severity and Outcome in Pediatric Severe Sepsis

Science.gov (United States)

Lin, Jainn-Jim; Chan, Oi-Wa; Hsiao, Hsiang-Ju; Wang, Yu; Hsia, Shao-Hsuan; Chiu, Cheng-Hsun

2016-01-01

Abstract Decreased ADAMTS 13 activity has been reported in severe sepsis and in sepsis-induced disseminated intravascular coagulation. This study aimed to investigate the role of ADAMTS 13 in different pediatric sepsis syndromes and evaluate its relationship with disease severity and outcome. We prospectively collected cases of sepsis treated in a pediatric intensive care unit, between July 2012 and June 2014 in Chang Gung Children's Hospital in Taoyuan, Taiwan. Clinical characteristics and ADAMTS-13 activity were analyzed. All sepsis syndromes had decreased ADAMTS 13 activity on days 1 and 3 of admission compared to healthy controls. Patients with septic shock had significantly decreased ADAMTS 13 activity on days 1 and 3 compared to those with sepsis and severe sepsis. There was a significant negative correlation between ADAMTS 13 activity on day 1 and day 1 PRISM-II, PELOD, P-MOD, and DIC scores. Patients with mortality had significantly decreased ADAMTS 13 activity on day 1 than survivors, but not on day 3. Different pediatric sepsis syndromes have varying degrees of decreased ADAMTS 13 activity. ADAMTS 13 activity is strongly negatively correlated with disease severity of pediatric sepsis syndrome, whereas decreased ADAMTS 13 activity on day 1 is associated with increased risk of mortality. PMID:27100422

A case of severe autoimmune hepatitis associated with Graves' disease

Directory of Open Access Journals (Sweden)

Samia Abdulla Bokhari

2016-01-01

Full Text Available Graves' disease is a common condition and is known to have a wide range of effects on a variety of organs. Hepatic dysfunction ranging from mild to severe due to direct effect of high circulating thyroid hormones as well as a deleterious effect of antithyroid medications (methimazole and propylthiouracil has been well - documented in literature. However, severe autoimmune hepatitis (AIH associated with Graves' disease is rare and limited to few case reports only. A 38-year-old woman presented with abdominal pain and yellowish discolouration of conjunctivae. On investigation, she was found to have Graves' disease and AIH. The liver histopathology showed typical features of AIH. She responded excellently to glucocorticoid therapy with normalisation of thyroid function and liver histology. The case is discussed with relevant literature review.

Illness perceptions and stress: mediators between disease severity and psychological well-being and quality of life among patients with Crohn's disease.

Science.gov (United States)

Zhang, Maochen; Hong, Liwen; Zhang, Tianyu; Lin, Yun; Zheng, Sichang; Zhou, Xiaolin; Fan, Rong; Wang, Zhengting; Zhang, Chenli; Zhong, Jie

2016-01-01

Disease severity, illness perceptions, coping strategies, stress, psychological well-being, and quality of life were reported to have close relationships. According to the Common Sense Model, illness perceptions and coping strategies could mediate the relationship between illness stimuli and illness outcomes such as psychological health and quality of life. Stress was also associated with the individual's disease severity, anxiety, depression, and quality of life. The study aimed to explore the influencing factors of illness outcomes, and to what extent illness perceptions, coping strategies, and stress mediate the relationship between disease severity and anxiety, and depression and quality of life. Our study included 159 patients with Crohn's disease who were attending a tertiary hospital outpatient clinic or who were hospitalized. Disease severity was measured with the Crohn's Disease Activity Index. Illness perceptions were measured with the Brief Illness Perceptions Questionnaire. Coping strategies were measured with the Carver Brief Coping Questionnaire. Stress was measured with the Perceived Stress Questionnaire. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale. Quality of life was measured with the Inflammatory Bowel Disease Questionnaire. Disease severity, illness perceptions, maladaptive coping, stress, anxiety, depression and quality of life were significantly correlated with each other among patients with Crohn's disease. Using structural equation modeling to describe the inner relationship of the aforementioned variables, an excellent-fitted model was drawn. ( χ 2 [10]=13.83, P =0.18, χ 2 /N=1.38, standardized root mean square residual [SRMR] 0.97, comparative fit index [CFI] >0.99). Disease severity had a direct influence on illness perceptions. Illness perceptions had a direct influence on stress. Both illness perceptions and stress had direct influences on anxiety, depression, and quality of life, while

Graves' disease presenting as right heart failure with severe pulmonary hypertension

OpenAIRE

Furqan Mohd Akram Khan; Anannya Mukherji; Shekhar T. Nabar; Ashwini G

2016-01-01

We report a patient who presented to our institution with clinical features of right sided heart failure and hyperthyroidism. Diagnosis of grave's disease induced reversible severe pulmonary hypertension leading to severe tricuspid regurgitation and right sided heart failure was made after all the common causes were ruled out using the biochemical and radiological investigations and review of literature. Graves disease is a common cause hyperthyroidism, is an immune system disorder that resul...

TEAR AND SERUM EOSINOPHIL CATIONIC PROTEIN AS A MARKER OF DISEASE SEVERITY IN ALLERGIC OCULAR DISEASES

International Nuclear Information System (INIS)

SOLIMAN, S.ET.; KHALIFA, R.A.

2007-01-01

The Eosinophil is a major cellular component in the late allergic response. In its activated state, the Eosinophil liberates performed basic proteins; the most sensitively quantifiable of them is the Eosinophil cationic protein (ECP).In the present study ECP was measured in tear and serum in different forms of ocular allergy to assess its value as a marker of disease severity and usefulness to evaluate topical therapy.Tears and serum were collected from 65 patients with allergic Keratoconjunctivitis, 20 healthy volunteers (6 of them children) with no history or evidence of allergic diseases, as well as, 5 patients with non allergic and untreated blepharo-conjunctivitis. Patients were classified according to their clinical signs and symptoms into four groups:Seasonal allergic conjunctivitis (SAC), 15 patients, Vernal Keratoconjunctivitis (VKC), 15 Palpebral and 6 Limbal, Atopic Keratoconjunctivitis (AKC), 17 patients and, Giant papillary conjunctivitis (GPC), 8 contact lens-induced and 4 suture-induced.Tears were collected by capillary tubes for cytological examination and measurement of ECP using radioimmunoassay methods. Serum was collected for measurement of ECP and atopy screening.Tear-ECP evaluation showed statistically significant elevation in all allergic subjects (p<0.001). Patients with VKC and AKC had significantly higher tear ECP values than patients with GPC and SAC. There was significant correlation between tear ECP values and disease severity.On the contrary, serum ECP values were only elevated significantly in atopic patients, and did not correlate to tear ECP values. Tear cytology was not sensitive to evaluate disease severity. These data demonstrated that tear ECP in contrast to serum ECP is a useful marker for disease severity in allergic ocular diseases and as such could become a valuable objective variable in treatment studies and as an adjunctive diagnostic tool in chronic conditions

Severe hemolytic disease of the newborn from anti-e.

Science.gov (United States)

McAdams, R M; Dotzler, S A; Winter, L W; Kerecman, J D

2008-03-01

Maternal antibody-mediated fetal red blood cell destruction secondary to non-D Rhesus (Rh) antibodies is a significant cause of hemolytic disease of the newborn (HDN). Here, we report a rare case of severe HDN associated with maternal antibody to Rh e. In addition to severe anemia, the infant developed thrombocytopenia, conjugated hyperbilirubinemia and cholelithiasis. Resolution of the infant's cholelithiasis occurred following treatment with ursodeoxycholic acid.

Severe aplastic anaemia and Grave's disease in a paediatric patient.

Science.gov (United States)

Kumar, Manjusha; Goldman, Jeffrey

2002-07-01

Severe aplastic anaemia (SAA) is considered to be an autoimmune disorder affecting the haematopoietic cells and most often is idiopathic. An association between SAA and other autoimmune diseases is rare and has been described in adults for eosinophilic fasciitis, thymomas, systemic lupus erythematosus and thyroid disorders. We describe the first paediatric patient with chronic relapsing SAA and Grave's disease. We discuss the difficulty in diagnosis of Grave's disease, the possibility of its manifestation due to withdrawal of immunosuppressants, and issues to consider in the treatment of this disease in the setting of bone marrow failure.

Causal inference based on counterfactuals

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Höfler M

2005-09-01

Full Text Available Abstract Background The counterfactual or potential outcome model has become increasingly standard for causal inference in epidemiological and medical studies. Discussion This paper provides an overview on the counterfactual and related approaches. A variety of conceptual as well as practical issues when estimating causal effects are reviewed. These include causal interactions, imperfect experiments, adjustment for confounding, time-varying exposures, competing risks and the probability of causation. It is argued that the counterfactual model of causal effects captures the main aspects of causality in health sciences and relates to many statistical procedures. Summary Counterfactuals are the basis of causal inference in medicine and epidemiology. Nevertheless, the estimation of counterfactual differences pose several difficulties, primarily in observational studies. These problems, however, reflect fundamental barriers only when learning from observations, and this does not invalidate the counterfactual concept.

The Airway Microbiome in Severe Asthma: Associations with Disease Features and Severity

Science.gov (United States)

Huang, Yvonne J.; Nariya, Snehal; Harris, Jeffrey M.; Lynch, Susan V.; Choy, David F.; Arron, Joseph R.; Boushey, Homer

2015-01-01

Background Asthma is heterogeneous, and airway dysbiosis is associated with clinical features in mild-moderate asthma. Whether similar relationships exist among patients with severe asthma is unknown. Objective To evaluate relationships between the bronchial microbiome and features of severe asthma. Methods Bronchial brushings from 40 participants in the BOBCAT study (Bronchoscopic Exploratory Research Study of Biomarkers in Corticosteroid-refractory Asthma) were evaluated using 16S rRNA-based methods. Relationships to clinical and inflammatory features were analyzed among microbiome-profiled subjects. Secondarily, bacterial compositional profiles were compared between severe asthmatics, and previously studied healthy controls (n=7), and mild-moderate asthma subjects (n=41). Results In severe asthma, bronchial bacterial composition was associated with several disease-related features, including body-mass index (BMI; Bray-Curtis distance PERMANOVA, p < 0.05), changes in Asthma Control Questionnaire (ACQ) scores (p < 0.01), sputum total leukocytes (p = 0.06) and bronchial biopsy eosinophils (per mm2; p = 0.07). Bacterial communities associated with worsening ACQ and sputum total leukocytes (predominantly Proteobacteria) differed markedly from those associated with BMI (Bacteroidetes/Firmicutes). In contrast, improving/stable ACQ and bronchial epithelial gene expression of FKBP5, an indicator of steroid responsiveness, correlated with Actinobacteria. Mostly negative correlations were observed between biopsy eosinophils and Proteobacteria. No taxa were associated with a T-helper type 2-related epithelial gene expression signature, but expression of Th17-related genes was associated with Proteobacteria. Severe asthma subjects, compared to healthy controls or mild-moderate asthmatics, were significantly enriched in Actinobacteria, although the largest differences observed involved a Klebsiella genus member (7.8 fold-increase in severe asthma, padj < 0.001) Conclusions

Comparison of disease-severity measures within severe and very severe COPD patients: results from a nationally representative chart review and patient survey

Directory of Open Access Journals (Sweden)

Solem CT

2014-09-01

Full Text Available Caitlyn T Solem,1 Shawn X Sun,2 Sizhu Liu,1 Cynthia Macahilig,3 Monica Katyal,3 Xin Gao,1 Andrew F Shorr4 1Pharmerit International, Bethesda, MD, 2Forest Research Institute, Jersey City, NJ, 3Medical Data Analytics, Parsippany, NJ, 4Pulmonary Critical Care, Washington Hospital Center and Georgetown University, Washington, DC, USA Objective: This study aimed to compare spirometry- and risk + symptom-based classification systems to physician-based severity assessment and find which system is most predictive of patient-reported health status, as measured by the St George's Respiratory Questionnaire for COPD (chronic obstructive pulmonary disease; SGRQ-C.Materials and methods: In this chart review/patient survey, 99 physicians recruited patients with physician-assessed severe or very severe COPD who had recently experienced a moderate or severe exacerbation. A cross-tabulation was undertaken comparing physician report, spirometry (mild/moderate, forced expiratory volume in 1 second [FEV1] ≥50%; severe, 30% ≤ FEV1 <50%; very severe, FEV1 <30% predicted, and risk + symptom-based (A, low risk/fewer symptoms; B, low risk/more symptoms; C, high risk/fewer symptoms; D, high risk/more symptoms severity systems. Analysis of covariance models were run for SGRQ-C, varying COPD-severity systems.Results: Of 244 patients, 58.6% were severe and 34.8% very severe by physician report, 70% had FEV1 ≤50% at their most recent visit, and 86% fell into quadrant D. Spirometry and physician report had 57.4% agreement, with physicians often indicating higher severity. Physician report and risk + symptom agreement was high (81.2% severe/very severe and D. Physician-reported severity, risk + symptoms, exacerbations in the previous year, and symptoms were significant SGRQ-C predictors, while spirometry was not.Conclusion: For recently exacerbating severe or very severe COPD patients, risk + symptoms more closely aligned with physician-reported severity and SGRQ-C versus

Impact of noise on molecular network inference.

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Radhakrishnan Nagarajan

Full Text Available Molecular entities work in concert as a system and mediate phenotypic outcomes and disease states. There has been recent interest in modelling the associations between molecular entities from their observed expression profiles as networks using a battery of algorithms. These networks have proven to be useful abstractions of the underlying pathways and signalling mechanisms. Noise is ubiquitous in molecular data and can have a pronounced effect on the inferred network. Noise can be an outcome of several factors including: inherent stochastic mechanisms at the molecular level, variation in the abundance of molecules, heterogeneity, sensitivity of the biological assay or measurement artefacts prevalent especially in high-throughput settings. The present study investigates the impact of discrepancies in noise variance on pair-wise dependencies, conditional dependencies and constraint-based Bayesian network structure learning algorithms that incorporate conditional independence tests as a part of the learning process. Popular network motifs and fundamental connections, namely: (a common-effect, (b three-chain, and (c coherent type-I feed-forward loop (FFL are investigated. The choice of these elementary networks can be attributed to their prevalence across more complex networks. Analytical expressions elucidating the impact of discrepancies in noise variance on pairwise dependencies and conditional dependencies for special cases of these motifs are presented. Subsequently, the impact of noise on two popular constraint-based Bayesian network structure learning algorithms such as Grow-Shrink (GS and Incremental Association Markov Blanket (IAMB that implicitly incorporate tests for conditional independence is investigated. Finally, the impact of noise on networks inferred from publicly available single cell molecular expression profiles is investigated. While discrepancies in noise variance are overlooked in routine molecular network inference, the

Sever's Disease

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... boys 10 years to 12 years of age. Soccer players and gymnasts often get Sever’s disease, but ... Crisis Situations Pets and Animals myhealthfinder Food and Nutrition Healthy Food Choices Weight Loss and Diet Plans ...

Normal and mutant HTT interact to affect clinical severity and progression in Huntington disease

DEFF Research Database (Denmark)

Aziz, N A; Jurgens, C K; Landwehrmeyer, G B

2009-01-01

OBJECTIVE: Huntington disease (HD) is an autosomal dominant neurodegenerative disorder caused by a CAG repeat expansion in the HD gene (HTT). We aimed to assess whether interaction between CAG repeat sizes in the mutant and normal allele could affect disease severity and progression. METHODS: Using...... with less severe symptoms and pathology. CONCLUSIONS: Increasing CAG repeat size in normal HTT diminishes the association between mutant CAG repeat size and disease severity and progression in Huntington disease. The underlying mechanism may involve interaction of the polyglutamine domains of normal...

Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease.

Science.gov (United States)

Yong, Yean K; Tan, Hong Y; Jen, Soe Hui; Shankar, Esaki M; Natkunam, Santha K; Sathar, Jameela; Manikam, Rishya; Sekaran, Shamala D

2017-05-31

Currently, several assays can diagnose acute dengue infection. However, none of these assays can predict the severity of the disease. Biomarkers that predicts the likelihood that a dengue patient will develop a severe form of the disease could permit more efficient patient triage and allows better supportive care for the individual in need, especially during dengue outbreaks. We measured 20 plasma markers i.e. IFN-γ, IL-10, granzyme-B, CX3CL1, IP-10, RANTES, CXCL8, CXCL6, VCAM, ICAM, VEGF, HGF, sCD25, IL-18, LBP, sCD14, sCD163, MIF, MCP-1 and MIP-1β in 141 dengue patients in over 230 specimens and correlate the levels of these plasma markers with the development of dengue without warning signs (DWS-), dengue with warning signs (DWS+) and severe dengue (SD). Our results show that the elevation of plasma levels of IL-18 at both febrile and defervescence phase was significantly associated with DWS+ and SD; whilst increase of sCD14 and LBP at febrile phase were associated with severity of dengue disease. By using receiver operating characteristic (ROC) analysis, the IL-18, LBP and sCD14 were significantly predicted the development of more severe form of dengue disease (DWS+/SD) (AUC = 0.768, P dengue disease. Given that the elevation IL-18, LBP and sCD14 among patients with severe form of dengue disease, our findings suggest a pathogenic role for an aberrant inflammasome and monocyte activation in the development of severe form of dengue disease.

GRAVES’ DISEASE INDUCED REVERSIBLE SEVERE RIGHT HEART FAILURE

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Kathyayani

2015-07-01

Full Text Available A middle aged man presented with evidence of right - sided heart failure in atrial fibrillation (AF and was found to have severe Tricuspid Regurgitation (TR with pulmonary artery hypertension (PAH, with normal left ventricular function. The common possible seconda ry causes of PAH were ruled out, but during investigation he was found to have elevated thyroid function tests compatible with the diagnosis of Graves’ disease. The treatment of Graves’ disease was started with anti - thyroid drugs and associated with a sign ificant reduction in the pulmonary arterial pressure. This case report is presented to highlight one of the rare and underdiagnosed presentations of Graves’ disease. Thyrotoxicosis can present with profound cardiovascular complications. In recent times, th ere have been few reports of secondary PAH with TR in patients with hyperthyroidism. Previously asymptomatic Graves’ disease having the signs and symptoms of right heart failure is a rare presentation and the association could be easily missed. This case p resentation emphasizes that the diagnosis of thyroid heart disease with heart failure secondary to Graves’ disease should be considered in any patient regardless of age, gender with clinical features of heart failure of unknown etiology and timely initiation of anti - thyroid drugs is necessary to treat these reversible cardiac failures.

Disease severity in familial cases of IBD.

Science.gov (United States)

Andreu, M; Márquez, L; Domènech, E; Gisbert, J P; García, V; Marín-Jiménez, I; Peñalva, M; Gomollón, F; Calvet, X; Merino, O; Garcia-Planella, E; Vázquez-Romero, N; Esteve, M; Nos, P; Gutiérrez, A; Vera, I; Cabriada, J L; Martín, M D; Cañas-Ventura, A; Panés, J

2014-03-01

Phenotypic traits of familial IBD relative to sporadic cases are controversial, probably related to limited statistical power of published evidence. To know if there are phenotype differences between familial and sporadic IBD, evaluating the prospective Spanish registry (ENEIDA) with 11,983 cases. 5783 patients (48.3%) had ulcerative colitis (UC) and 6200 (51.7%) Crohn's disease (CD). Cases with one or more 1st, 2nd or 3rd degree relatives affected by UC/CD were defined as familial case. In UC and CD, familial cases compared with sporadic cases had an earlier disease onset (UC: 33 years [IQR 25-44] vs 37 years [IQR 27-49]; p<0.0001); (CD: 27 years [IQR 21-35] vs 29 years [IQR 22-40]; p<0.0001), higher prevalence of extraintestinal immune-related manifestations (EIMs) (UC: 17.2% vs 14%; p=0.04); (CD: 30.1% vs 23.6%; p<0.0001). Familial CD had higher percentage of ileocolic location (42.7% vs 51.8%; p=0.0001), penetrating behavior (21% vs 17.6%; p=0.01) and perianal disease (32% vs 27.1%; p=0.003). Differences are not influenced by degree of consanguinity. When a sufficiently powered cohort is evaluated, familial aggregation in IBD is associated to an earlier disease onset, more EIMs and more severe phenotype in CD. This feature should be taken into account at establishing predictors of disease course. © 2013.

Electrophysiology and optical coherence tomography to evaluate Parkinson disease severity.

Science.gov (United States)

Garcia-Martin, Elena; Rodriguez-Mena, Diego; Satue, Maria; Almarcegui, Carmen; Dolz, Isabel; Alarcia, Raquel; Seral, Maria; Polo, Vicente; Larrosa, Jose M; Pablo, Luis E

2014-02-04

To evaluate correlations between visual evoked potentials (VEP), pattern electroretinogram (PERG), and macular and retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT) and the severity of Parkinson disease (PD). Forty-six PD patients and 33 age and sex-matched healthy controls were enrolled, and underwent VEP, PERG, and OCT measurements of macular and RNFL thicknesses, and evaluation of PD severity using the Hoehn and Yahr scale to measure PD symptom progression, the Schwab and England Activities of Daily Living Scale (SE-ADL) to evaluate patient quality of life (QOL), and disease duration. Logistical regression was performed to analyze which measures, if any, could predict PD symptom progression or effect on QOL. Visual functional parameters (best corrected visual acuity, mean deviation of visual field, PERG positive (P) component at 50 ms -P50- and negative (N) component at 95 ms -N95- component amplitude, and PERG P50 component latency) and structural parameters (OCT measurements of RNFL and retinal thickness) were decreased in PD patients compared with healthy controls. OCT measurements were significantly negatively correlated with the Hoehn and Yahr scale, and significantly positively correlated with the SE-ADL scale. Based on logistical regression analysis, fovea thickness provided by OCT equipment predicted PD severity, and QOL and amplitude of the PERG N95 component predicted a lower SE-ADL score. Patients with greater damage in the RNFL tend to have lower QOL and more severe PD symptoms. Foveal thicknesses and the PERG N95 component provide good biomarkers for predicting QOL and disease severity.

Oxygen-enhanced MRI for patients with connective tissue diseases: Comparison with thin-section CT of capability for pulmonary functional and disease severity assessment

Energy Technology Data Exchange (ETDEWEB)

Ohno, Yoshiharu, E-mail: yosirad@kobe-u.ac.jp [Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Nishio, Mizuho [Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Koyama, Hisanobu [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Yoshikawa, Takeshi; Matsumoto, Sumiaki [Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Seki, Shinichiro [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Tsubakimoto, Maho [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan); Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nakagami-Gun, Okinawa (Japan); Sugimura, Kazuro [Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo (Japan)

2014-02-15

Purpose: To prospectively and directly compare oxygen-enhanced (O{sub 2}-enhanced) MRI with thin-section CT for pulmonary functional loss and disease severity assessment in connective tissue disease (CTD) patients with interstitial lung disease (ILD). Materials and methods: Thin-section CT, O{sub 2}-enhanced MRI, pulmonary function test and serum KL-6 were administered to 36 CTD patients with ILD (23 men, 13 women; mean age: 63.9 years) and nine CTD patients without ILD (six men, and three women; mean age: 62.0 years). A relative-enhancement ratio (RER) map was generated from O{sub 2}-enhanced MRI and mean relative enhancement ratio (MRER) for each subject was calculated from all ROI measurements. CT-assessed disease severity was evaluated with a visual scoring system from each of the thin-section CT data. MRER and CT-assessed disease severities of CTD patients with and without ILD were then statistically compared. To assess capability for pulmonary functional loss and disease severity assessment in CTD patients, correlations of MRER and CT-assessed disease severity with pulmonary functional parameters and serum KL-6 in all subjects were statistically determined. Results: MRER and CT-assessed disease severity showed significant differences between CTD patients with (MRER: 0.15 ± 0.08, CT-assessed disease severity: 13.0 ± 7.4%) and without ILD (MRER: 0.25 ± 0.06, p = 0.0011; CT-assessed disease severity: 1.6 ± 1.6%, p < 0.0001). MRER and CT-assessed disease severity correlated significantly with pulmonary functional parameters and serum KL-6 in all subjects (0.61 ≤ r ≤ 0.79, p < 0.05). Conclusion: O{sub 2}-enhanced MRI was found to be as useful as thin-section CT for pulmonary functional loss and disease severity assessment of CTD patients with ILD.

Oxygen-enhanced MRI for patients with connective tissue diseases: Comparison with thin-section CT of capability for pulmonary functional and disease severity assessment

International Nuclear Information System (INIS)

Ohno, Yoshiharu; Nishio, Mizuho; Koyama, Hisanobu; Yoshikawa, Takeshi; Matsumoto, Sumiaki; Seki, Shinichiro; Tsubakimoto, Maho; Sugimura, Kazuro

2014-01-01

Purpose: To prospectively and directly compare oxygen-enhanced (O 2 -enhanced) MRI with thin-section CT for pulmonary functional loss and disease severity assessment in connective tissue disease (CTD) patients with interstitial lung disease (ILD). Materials and methods: Thin-section CT, O 2 -enhanced MRI, pulmonary function test and serum KL-6 were administered to 36 CTD patients with ILD (23 men, 13 women; mean age: 63.9 years) and nine CTD patients without ILD (six men, and three women; mean age: 62.0 years). A relative-enhancement ratio (RER) map was generated from O 2 -enhanced MRI and mean relative enhancement ratio (MRER) for each subject was calculated from all ROI measurements. CT-assessed disease severity was evaluated with a visual scoring system from each of the thin-section CT data. MRER and CT-assessed disease severities of CTD patients with and without ILD were then statistically compared. To assess capability for pulmonary functional loss and disease severity assessment in CTD patients, correlations of MRER and CT-assessed disease severity with pulmonary functional parameters and serum KL-6 in all subjects were statistically determined. Results: MRER and CT-assessed disease severity showed significant differences between CTD patients with (MRER: 0.15 ± 0.08, CT-assessed disease severity: 13.0 ± 7.4%) and without ILD (MRER: 0.25 ± 0.06, p = 0.0011; CT-assessed disease severity: 1.6 ± 1.6%, p < 0.0001). MRER and CT-assessed disease severity correlated significantly with pulmonary functional parameters and serum KL-6 in all subjects (0.61 ≤ r ≤ 0.79, p < 0.05). Conclusion: O 2 -enhanced MRI was found to be as useful as thin-section CT for pulmonary functional loss and disease severity assessment of CTD patients with ILD

Entropic Inference

Science.gov (United States)

Caticha, Ariel

2011-03-01

In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents. The problem of updating from a prior to a posterior probability distribution is tackled through an eliminative induction process that singles out the logarithmic relative entropy as the unique tool for inference. The resulting method of Maximum relative Entropy (ME), includes as special cases both MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops—the Maximum Entropy and the Bayesian methods—into a single general inference scheme.

Severe fatigue is highly prevalent in ALL rheumatic diseases : an international study

NARCIS (Netherlands)

Geenen, R.; Overman, C.L.; Da Silva, J.A.P.; Kool, M.B.

Background Fatigue is a common, disabling, and difficult to manage problem in rheumatic diseases. Prevalence estimates of fatigue within various rheumatic disease groups vary considerably. Data on the relative prevalence of severe fatigue across multiple rheumatic diseases using a similar instrument

Minireview: Clinical severity in sickle cell disease: the challenges of definition and prognostication.

Science.gov (United States)

Quinn, Charles T

2016-04-01

Sickle cell disease (SCD) is a monogenic, yet highly phenotypically variable disease with multisystem pathology. This manuscript provides an overview of many of the known determinants, modifiers, and correlates of disease severity in SCD. Despite this wealth of data, modeling the variable and multisystem pathology of SCD continues to be difficult. The current status of prediction of specific adverse outcomes and global disease severity in SCD is also reviewed, highlighting recent successes and ongoing challenges. © 2016 by the Society for Experimental Biology and Medicine.

Inference method using bayesian network for diagnosis of pulmonary nodules

International Nuclear Information System (INIS)

Kawagishi, Masami; Iizuka, Yoshio; Yamamoto, Hiroyuki; Yakami, Masahiro; Kubo, Takeshi; Fujimoto, Koji; Togashi, Kaori

2010-01-01

This report describes the improvements of a naive Bayes model that infers the diagnosis of pulmonary nodules in chest CT images based on the findings obtained when a radiologist interprets the CT images. We have previously introduced an inference model using a naive Bayes classifier and have reported its clinical value based on evaluation using clinical data. In the present report, we introduce the following improvements to the original inference model: the selection of findings based on correlations and the generation of a model using only these findings, and the introduction of classifiers that integrate several simple classifiers each of which is specialized for specific diagnosis. These improvements were found to increase the inference accuracy by 10.4% (p<.01) as compared to the original model in 100 cases (222 nodules) based on leave-one-out evaluation. (author)

Vedolizumab Therapy in Severe Pediatric Inflammatory Bowel Disease.

Science.gov (United States)

Conrad, Máire A; Stein, Ronen E; Maxwell, Elizabeth C; Albenberg, Lindsey; Baldassano, Robert N; Dawany, Noor; Grossman, Andrew B; Mamula, Petar; Piccoli, David A; Kelsen, Judith R

2016-10-01

Vedolizumab is effective for inducing and maintaining remission in adults with inflammatory bowel disease (IBD); however, there is limited pediatric data. This study aimed to describe the adverse events and clinical response to vedolizumab in refractory pediatric IBD. Disease activity indices, clinical response, concomitant medication use, and adverse events were measured over 22 weeks in an observational prospective cohort study of children with refractory IBD who had failed anti-tumor necrosis factor therapy and subsequently initiated vedolizumab therapy. Twenty-one subjects, 16 with Crohn disease, received vedolizumab. Clinical response was observed in 6/19 (31.6%) of the evaluable subjects at week 6 and in 11/19 (57.9%) by week 22. Before induction, 15/21 (71.4%) participants were treated with systemic corticosteroids, as compared with 7/21 (33.3%) subjects at 22 weeks. Steroid-free remission was seen in 1/20 (5.0%) subjects at 6 weeks, 3/20 (15.0%) at 14 weeks, and 4/20 (20.0%) at 22 weeks. There was statistically significant improvement in serum albumin and hematocrit; however, C-reactive protein increased by week 22 (P < 0.05). There were no infusion reactions. Vedolizumab was discontinued in 2 patients because of severe colitis, requiring surgical intervention. There is limited experience with vedolizumab therapy in pediatric IBD. There seems to be a marked number of subjects with clinical response in the first 6 weeks that increases further by week 22 despite the severity of disease in this cohort. Adverse events may not be directly related to vedolizumab. This study is limited by small sample size, and larger prospective studies are warranted.

CT evaluation of severe renal inflammatory disease in children

International Nuclear Information System (INIS)

Montgomery, P.; Kuhn, J.P.; Afshani, E.

1987-01-01

We have performed CT scans on 15 children and 2 young adults with severe renal inflammatory disease. Most children with urinary tract infections do not require such evaluation. We have, however, found CT helpful in defining the nature of renal abnormality and in defining the extent of disease in selected patients who either presented as diagnostic dilemmas or who did not respond initially to proper medical treatment. We therefore use CT scanning as our initial examination in such problem patients. (orig.)

How many standard area diagram sets are needed for accurate disease severity assessment

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Standard area diagram sets (SADs) are widely used in plant pathology: a rater estimates disease severity by comparing an unknown sample to actual severities in the SADs and interpolates an estimate as accurately as possible (although some SADs have been developed for categorizing disease too). Most ...

Ancillary testing, diagnostic/classification criteria and severity grading in Behçet disease.

Science.gov (United States)

Okada, Annabelle A; Stanford, Miles; Tabbara, Khalid

2012-12-01

Since there is no pathognomonic clinical sign or laboratory test to distinguish Behçet disease from other uveitic entities, the diagnosis must be made based on characteristic ocular and systemic findings in the absence of evidence of other disease that can explain the findings. Ancillary tests, including ocular and brain imaging studies, are used to assess the severity of intraocular inflammation and systemic manifestations of Behçet disease, to identify latent infections and other medical conditions that might worsen with systemic treatment, and to monitor for adverse effects of drugs used. There are two diagnostic or classification criteria in general use by the uveitis community, one from Japan and one from an international group; both rely on a minimum number and/or combination of clinical findings to identify Behçet disease. Finally, several grading schemes have been proposed to assess severity of ocular disease and response to treatment.

Risk factors for cardiovascular disease in patients with COPD: mild-to-moderate COPD versus severe-to-very severe COPD

Directory of Open Access Journals (Sweden)

Laura Miranda de Oliveira Caram

Full Text Available ABSTRACT Objective: To assess and compare the prevalence of comorbidities and risk factors for cardiovascular disease (CVD in COPD patients according to disease severity. Methods: The study included 25 patients with mild-to-moderate COPD (68% male; mean age, 65 ± 8 years; mean FEV1, 73 ± 15% of predicted and 25 with severe-to-very severe COPD (males, 56%; mean age, 69 ± 9 years; mean FEV1, 40 ± 18% of predicted. Comorbidities were recorded on the basis of data obtained from medical charts and clinical evaluations. Comorbidities were registered on the basis of data obtained from medical charts and clinical evaluations. The Charlson comorbidity index was calculated, and the Hospital Anxiety and Depression Scale (HADS score was determined. Results: Of the 50 patients evaluated, 38 (76% had been diagnosed with at least one comorbidity, 21 (42% having been diagnosed with at least one CVD. Twenty-four patients (48% had more than one CVD. Eighteen (36% of the patients were current smokers, 10 (20% had depression, 7 (14% had dyslipidemia, and 7 (14% had diabetes mellitus. Current smoking, depression, and dyslipidemia were more prevalent among the patients with mild-to-moderate COPD than among those with severe-to-very severe COPD (p < 0.001, p = 0.008, and p = 0.02, respectively. The prevalence of high blood pressure, diabetes mellitus, alcoholism, ischemic heart disease, and chronic heart failure was comparable between the two groups. The Charlson comorbidity index and HADS scores did not differ between the groups. Conclusions: Comorbidities are highly prevalent in COPD, regardless of its severity. Certain risk factors for CVD, themselves classified as diseases (including smoking, dyslipidemia, and depression, appear to be more prevalent in patients with mild-to-moderate COPD.

More than one kind of inference: re-examining what's learned in feature inference and classification.

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Sweller, Naomi; Hayes, Brett K

2010-08-01

Three studies examined how task demands that impact on attention to typical or atypical category features shape the category representations formed through classification learning and inference learning. During training categories were learned via exemplar classification or by inferring missing exemplar features. In the latter condition inferences were made about missing typical features alone (typical feature inference) or about both missing typical and atypical features (mixed feature inference). Classification and mixed feature inference led to the incorporation of typical and atypical features into category representations, with both kinds of features influencing inferences about familiar (Experiments 1 and 2) and novel (Experiment 3) test items. Those in the typical inference condition focused primarily on typical features. Together with formal modelling, these results challenge previous accounts that have characterized inference learning as producing a focus on typical category features. The results show that two different kinds of inference learning are possible and that these are subserved by different kinds of category representations.

Perceptual inference.

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Aggelopoulos, Nikolaos C

2015-08-01

Perceptual inference refers to the ability to infer sensory stimuli from predictions that result from internal neural representations built through prior experience. Methods of Bayesian statistical inference and decision theory model cognition adequately by using error sensing either in guiding action or in "generative" models that predict the sensory information. In this framework, perception can be seen as a process qualitatively distinct from sensation, a process of information evaluation using previously acquired and stored representations (memories) that is guided by sensory feedback. The stored representations can be utilised as internal models of sensory stimuli enabling long term associations, for example in operant conditioning. Evidence for perceptual inference is contributed by such phenomena as the cortical co-localisation of object perception with object memory, the response invariance in the responses of some neurons to variations in the stimulus, as well as from situations in which perception can be dissociated from sensation. In the context of perceptual inference, sensory areas of the cerebral cortex that have been facilitated by a priming signal may be regarded as comparators in a closed feedback loop, similar to the better known motor reflexes in the sensorimotor system. The adult cerebral cortex can be regarded as similar to a servomechanism, in using sensory feedback to correct internal models, producing predictions of the outside world on the basis of past experience. Copyright © 2015 Elsevier Ltd. All rights reserved.

Aortitis With Severe Aortic Regurgitation in Behcet's Disease: A Case Report

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Hsin-Hui Chiu

2010-01-01

Full Text Available Behcet's aortitis is a rare, but one of the most severe complications of Behcet's disease. We report a 24-year-old woman who was noted initially to have aortitis and severe aortic regurgitation caused by Behcet's disease. After receiving aortic valve replacement, aortoplasty and immunosuppressant therapy, her condition became stationary. As far as we are aware, she is the youngest case that has undergone surgery. The early onset of hemodynamic decompensation is considered to be related to delay in diagnosis and lack of steroid treatment.

Creutzfeldt-Jacob’s Disease Presenting with Psychiatric Symptomsand Severe Itching

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Emine Rabia Koç

2013-03-01

Full Text Available Creutzfeldt-Jakob disease is a rare and fatal neurodegenerative disease that is characterized by the accumulation of abnormal prion-like proteins in the central nervous system. Clinical features, electroencephalography, brain magnetic resonance imaging and protein 14.3.3 is useful in diagnosis. Protein 14.3.3 may be negative in the early or late stages of the disease. Presentation with psychiatric symptoms and itching is not typical in the beginning of the disease In this paper, we present a patient who was first accepted to the pschiatry ward because of his psychiatric symtpoms and had severe itching, resistant to antihistaminic drugs

Diagnosis and treatment of dementia: 6. Management of severe Alzheimer disease.

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Herrmann, Nathan; Gauthier, Serge

2008-12-02

The management of severe Alzheimer disease often presents difficult choices for clinicians and families. The disease is characterized by a need for full-time care and assistance with basic activities of daily living. We outline an evidence-based approach for these choices based on recommendations from the Third Canadian Consensus Conference on the Diagnosis and Treatment of Dementia. We developed evidence-based guidelines using systematic literature searches, with specific criteria for the selection and quality assessment of articles, and a clear and transparent decision-making process. We selected articles published from January 1996 to December 2005 that dealt with the management of severe Alzheimer disease. Subsequent to the conference, we searched for additional articles published from January 2006 to March 2008 using the same search terms. We graded the strength of the evidence using the criteria of the Canadian Task Force on Preventive Health Care. We identified 940 articles, of which 838 were selected for further study. Thirty-four articles were judged to be of at least good or fair quality and were used to generate 17 recommendations. Assessment of severe Alzheimer disease should include the measurement of cognitive function and the assessment of behaviour, function, medical status, nutrition, safety and caregiver status. Management could include treatment with a cholinesterase inhibitor or memantine, or both. Treatment of neuropsychiatric symptoms begins with nonpharmacologic approaches to addressing behavioural problems. Severe agitation, aggression and psychosis, which are potentially dangerous to the patient, the caregiver and others in the environment, can be treated with atypical antipsychotics, with consideration of their increased risk of cerebrovascular events and death. All pharmacologic approaches require careful monitoring and periodic reassessment to determine whether continued treatment is necessary. Caregiver support and use of community

Impact of severity of congenital heart diseases on university graduation rate among male patients.

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Özcan, Emin Evren; Küçük, Alaattin

2012-04-01

This study examines university graduation rates among individuals with congenital heart disease (CHD) in comparison to their healthy peers. The effect of disease severity, type of surgery, and timing of surgery on graduation rate was also evaluated. One hundred forty-five male patients with CHD at military age were enrolled in the study between the dates of January 2005 and May 2007. Severity of disease was operationalised in term of initial diagnosis (According to classification of 32th ACC Bethesta Conference Task Force 1). University graduation rates of among two groups of CHD patients (mild disease (group 1) or moderate to severe disease (group 2)) are compared to each other and to healthy peers. Patients with CHD have reduced rates of participation in higher education compared with healthy individuals (13.1% vs 20.7%, p=0.01). Furthermore, this negative effect on education participation rate is independent of the severity of disease (group 1, 16.4%, p=0.01; group 2, 9.7%, pgraduation rate was relatively higher in patients with mild disease severity, no significant difference was found between the two patient groups (p=0.23). Having an operation does not effect graduation rate (p=0.58), however greater age at the time of operation increases the likelihood of graduation (p=0.02). Being born with CHD significantly reduces the chance of completing higher education. This negative impact on university graduation rate is independent of the severity of the disease. No negative effects of disease related surgery or subsequent corrective surgery on education were observed. Patients who were operated on later in life were more likely to complete university education. Mean operation age of this group corresponds to the typical age during the last year of elementary school in Turkey.

White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods.

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McGuire, Liam P; Turner, James M; Warnecke, Lisa; McGregor, Glenna; Bollinger, Trent K; Misra, Vikram; Foster, Jeffrey T; Frick, Winifred F; Kilpatrick, A Marm; Willis, Craig K R

2016-03-01

White-nose syndrome is caused by the fungus Pseudogymnoascus destructans and has killed millions of hibernating bats in North America but the pathophysiology of the disease remains poorly understood. Our objectives were to (1) assess non-destructive diagnostic methods for P. destructans infection compared to histopathology, the current gold-standard, and (2) to evaluate potential metrics of disease severity. We used data from three captive inoculation experiments involving 181 little brown bats (Myotis lucifugus) to compare histopathology, quantitative PCR (qPCR), and ultraviolet fluorescence as diagnostic methods of P. destructans infection. To assess disease severity, we considered two histology metrics (wing area with fungal hyphae, area of dermal necrosis), P. destructans fungal load (qPCR), ultraviolet fluorescence, and blood chemistry (hematocrit, sodium, glucose, pCO2, and bicarbonate). Quantitative PCR was most effective for early detection of P. destructans, while all three methods were comparable in severe infections. Correlations among hyphae and necrosis scores, qPCR, ultraviolet fluorescence, blood chemistry, and hibernation duration indicate a multi-stage pattern of disease. Disruptions of homeostasis occurred rapidly in late hibernation. Our results provide valuable information about the use of non-destructive techniques for monitoring, and provide novel insight into the pathophysiology of white-nose syndrome, with implications for developing and implementing potential mitigation strategies.

SPEEDY: An Eclipse-based IDE for invariant inference

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David R. Cok

2014-04-01

Full Text Available SPEEDY is an Eclipse-based IDE for exploring techniques that assist users in generating correct specifications, particularly including invariant inference algorithms and tools. It integrates with several back-end tools that propose invariants and will incorporate published algorithms for inferring object and loop invariants. Though the architecture is language-neutral, current SPEEDY targets C programs. Building and using SPEEDY has confirmed earlier experience demonstrating the importance of showing and editing specifications in the IDEs that developers customarily use, automating as much of the production and checking of specifications as possible, and showing counterexample information directly in the source code editing environment. As in previous work, automation of specification checking is provided by back-end SMT solvers. However, reducing the effort demanded of software developers using formal methods also requires a GUI design that guides users in writing, reviewing, and correcting specifications and automates specification inference.

Autoimmune diseases and severe infections as risk factors for schizophrenia

DEFF Research Database (Denmark)

Benros, Michael E; Nielsen, Philip R; Nordentoft, Merete

2011-01-01

Autoimmune diseases have been associated with an increased risk of schizophrenia. It has been suggested that brain-reactive autoantibodies are part of the mechanisms behind this association. Furthermore, an increased permeability of the blood-brain barrier has been observed during periods...... of infection and inflammation. The authors therefore investigated whether autoimmune diseases combined with exposures to severe infections may increase the risk of schizophrenia...

Intracerebral abscess: A complication of severe cystic fibrosis lung disease

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Fenton, Mark E; Cockcroft, Donald W; Gjevre, John A

2008-01-01

Intracerebral abscess is an uncommon complication of severe cystic fibrosis lung disease. The present report describes a case of fatal multiple intracerebral abscesses in a patient with a severely bronchiectatic, nonfunctioning right lung and chronic low-grade infection. The patient was previously turned down for pneumonectomy. Intracerebral abscess in cystic fibrosis and the potential role of pneumonectomy in the present patient are discussed.

Surgical treatment of nonalcoholic fatty liver disease in severely obese patients

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Vander Naalt SJ

2014-10-01

Full Text Available Steven J Vander Naalt, Juan P Gurria, AiXuan L HoltermanUniversity of Illinois College of Medicine at Peoria, Children's Hospital of Illinois, Department of Surgery/Pediatric Surgery, Peoria, IL, USAAbstract: Obesity is a multi-organ system disease with underlying metabolic abnormalities and chronic systemic inflammation. Nonalcoholic fatty liver disease (NAFLD is a hepatic manifestation of obesity metabolic dysfunction and its associated cardiovascular- and liver-related morbidities and mortality. Our current understanding of NAFLD pathogenesis, disease characteristics, the role of insulin resistance, chronic inflammation, gut–liver and gut–brain crosstalk and the effectiveness of pharmacotherapy is still evolving. Bariatric surgery significantly improves metabolic and NAFLD histology in severely obese patients, although its positive effects on fibrosis are not universal. Bariatric surgery benefits NAFLD through its metabolic effect on insulin resistance, inflammation, and insulinotropic and anorexinogenic gastrointestinal hormones. Further studies are needed to understand the natural course of NAFLD in severely obese patients and the role of weight loss surgery as a primary treatment for NAFLD.Keywords: NAFLD, severe obesity, bariatric surgery

Illness perceptions and stress: mediators between disease severity and psychological well-being and quality of life among patients with Crohn’s disease

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Zhang M

2016-11-01

Full Text Available Maochen Zhang,1,* Liwen Hong,1,* Tianyu Zhang,1 Yun Lin,1 Sichang Zheng,1 Xiaolin Zhou,1 Rong Fan,1 Zhengting Wang,1 Chenli Zhang,2 Jie Zhong1 1Department of Gastroenterology, 2Exclusive Medical Center, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China *These authors contributed equally to this work Background: Disease severity, illness perceptions, coping strategies, stress, psychological well-being, and quality of life were reported to have close relationships. According to the Common Sense Model, illness perceptions and coping strategies could mediate the relationship between illness stimuli and illness outcomes such as psychological health and quality of life. Stress was also associated with the individual’s disease severity, anxiety, depression, and quality of life. Objectives: The study aimed to explore the influencing factors of illness outcomes, and to what extent illness perceptions, coping strategies, and stress mediate the relationship between disease severity and anxiety, and depression and quality of life. Methods: Our study included 159 patients with Crohn’s disease who were attending a tertiary hospital outpatient clinic or who were hospitalized. Disease severity was measured with the Crohn’s Disease Activity Index. Illness perceptions were measured with the Brief Illness Perceptions Questionnaire. Coping strategies were measured with the Carver Brief Coping Questionnaire. Stress was measured with the Perceived Stress Questionnaire. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale. Quality of life was measured with the Inflammatory Bowel Disease Questionnaire. Results: Disease severity, illness perceptions, maladaptive coping, stress, anxiety, depression and quality of life were significantly correlated with each other among patients with Crohn’s disease. Using structural equation modeling to describe the inner relationship of the

Association between chronic azotemic kidney disease and the severity of periodontal disease in dogs.

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Glickman, Lawrence T; Glickman, Nita W; Moore, George E; Lund, Elizabeth M; Lantz, Gary C; Pressler, Barrak M

2011-05-01

Naturally occurring periodontal disease affects >75% of dogs and has been associated with cardiac lesions and presumptive endocarditis. However, the relationships between periodontal disease and chronic kidney disease (CKD) in dogs have not been studied. In a retrospective longitudinal study the incidence of azotemic CKD was compared between a cohort of 164,706 dogs with periodontal disease and a cohort of age-matched dogs with no periodontal disease from a national primary care practice. These dogs contributed 415,971 dog-years of follow-up from 2002 to 2008. Hazard ratios and 95% confidence intervals from Cox regression were used to compare the incidence of azotemic CKD in dogs with stage 1, 2, or 3/4 periodontal disease to dogs with no periodontal disease. The hazard ratio for azotemic CKD increased with increasing severity of periodontal disease (stage 1 hazard ratio=1.8, 95% confidence interval: 1.6, 2.1; stage 2 hazard ratio=2.0, 95% confidence interval: 1.7, 2.3; stage 3/4 hazard ratio=2.7, 95% confidence interval: 2.3, 3.0; P(trend)=periodontal disease was also associated with serum creatinine >1.4 mg/dl and blood urea nitrogen >36 mg/dl, independent of a veterinarian's clinical diagnosis of CKD. Copyright © 2011 Elsevier B.V. All rights reserved.

Multimodel inference and adaptive management

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Rehme, S.E.; Powell, L.A.; Allen, Craig R.

2011-01-01

Ecology is an inherently complex science coping with correlated variables, nonlinear interactions and multiple scales of pattern and process, making it difficult for experiments to result in clear, strong inference. Natural resource managers, policy makers, and stakeholders rely on science to provide timely and accurate management recommendations. However, the time necessary to untangle the complexities of interactions within ecosystems is often far greater than the time available to make management decisions. One method of coping with this problem is multimodel inference. Multimodel inference assesses uncertainty by calculating likelihoods among multiple competing hypotheses, but multimodel inference results are often equivocal. Despite this, there may be pressure for ecologists to provide management recommendations regardless of the strength of their study’s inference. We reviewed papers in the Journal of Wildlife Management (JWM) and the journal Conservation Biology (CB) to quantify the prevalence of multimodel inference approaches, the resulting inference (weak versus strong), and how authors dealt with the uncertainty. Thirty-eight percent and 14%, respectively, of articles in the JWM and CB used multimodel inference approaches. Strong inference was rarely observed, with only 7% of JWM and 20% of CB articles resulting in strong inference. We found the majority of weak inference papers in both journals (59%) gave specific management recommendations. Model selection uncertainty was ignored in most recommendations for management. We suggest that adaptive management is an ideal method to resolve uncertainty when research results in weak inference.

Designs and Methods for Association Studies and Population Size Inference in Statistical Genetics

DEFF Research Database (Denmark)

Waltoft, Berit Lindum

method provides a simple goodness of t test by comparing the observed SFS with the expected SFS under a given model of population size changes. By the use of Monte Carlo estimation the expected time between coalescent events can be estimated and the expected SFS can thereby be evaluated. Using......). The OR is interpreted as the eect of an exposure on the probability of being diseased at the end of follow-up, while the interpretation of the IRR is the eect of an exposure on the probability of becoming diseased. Through a simulation study, the OR from a classical case-control study is shown to be an inconsistent...... the classical chi-square statistics we are able to infer single parameter models. Multiple parameter models, e.g. multiple epochs, are harder to identify. By introducing the inference of population size back in time as an inverse problem, the second procedure applies the theory of smoothing splines to infer...

Probability biases as Bayesian inference

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Andre; C. R. Martins

2006-11-01

Full Text Available In this article, I will show how several observed biases in human probabilistic reasoning can be partially explained as good heuristics for making inferences in an environment where probabilities have uncertainties associated to them. Previous results show that the weight functions and the observed violations of coalescing and stochastic dominance can be understood from a Bayesian point of view. We will review those results and see that Bayesian methods should also be used as part of the explanation behind other known biases. That means that, although the observed errors are still errors under the be understood as adaptations to the solution of real life problems. Heuristics that allow fast evaluations and mimic a Bayesian inference would be an evolutionary advantage, since they would give us an efficient way of making decisions. %XX In that sense, it should be no surprise that humans reason with % probability as it has been observed.

Severe nitrofurantoin lung disease resolving without the use of steroids

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Bhullar S

2007-01-01

Full Text Available We report a case of an elderly woman who developed a severe, chronic pulmonary reaction to nitrofurantoin therapy that she had taken continuously for three years to prevent urinary tract infections. The patient was taking no other drug known to cause lung disease but the diagnosis was delayed by failure to recognize the association between nitrofurantoin and adverse drug reactions affecting the lung. When originally seen, the patient was unable to care for herself due to dyspnea. Bronchoscopy with biopsy ruled out other causes of her pulmonary disease. Immediate withdrawal of nitrofurantoin led to substantial, sustained improvement and disappearance of symptoms over several months without administration of corticosteroids. Nitrofurantoin toxicity should always be considered in any person taking that drug who develops bilateral infiltrates.

Swallowing in moderate and severe phases of Alzheimer's disease

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Sheilla de Medeiros Correia

2010-12-01

Full Text Available OBJECTIVE: To characterize the problems of feeding and swallowing in individuals with moderate and severe Alzheimer´s disease (AD and to correlate these with functional aspects. METHOD: Fifty patients with AD and their caregivers participated in this study. The instruments used were: Clinical Dementia Rating (CDR, Mini-Mental State Examination, Index of Activities of Daily Living, Assessment of Feeding and Swallowing Difficulties in Dementia, Functional Outcome Questionnaire for Aphasia, and Swallowing Rating Scale. RESULTS: Problems with passivity, distraction and refusal to eat were encountered in the CDR2 group. Distraction, passivity and inappropriate feeding velocity were predominant in the CDR3 group. The problems were correlated with communication, swallowing severity of AD individuals and caregiver schooling. CONCLUSION: Given the inexorable functional alterations during the course of the disease, it is vital to observe these in patients with a compromised feeding and swallowing mechanism. The present study supplies the instruments to orient caregivers and professionals.

CLC-2 single nucleotide polymorphisms (SNPs) as potential modifiers of cystic fibrosis disease severity

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Blaisdell, Carol J; Howard, Timothy D; Stern, Augustus; Bamford, Penelope; Bleecker, Eugene R; Stine, O Colin

2004-01-01

Background Cystic fibrosis (CF) lung disease manifest by impaired chloride secretion leads to eventual respiratory failure. Candidate genes that may modify CF lung disease severity include alternative chloride channels. The objectives of this study are to identify single nucleotide polymorphisms (SNPs) in the airway epithelial chloride channel, CLC-2, and correlate these polymorphisms with CF lung disease. Methods The CLC-2 promoter, intron 1 and exon 20 were examined for SNPs in adult CF dF508/dF508 homozygotes with mild and severe lung disease (forced expiratory volume at one second (FEV1) > 70% and < 40%). Results PCR amplification of genomic CLC-2 and sequence analysis revealed 1 polymorphism in the hClC -2 promoter, 4 in intron 1, and none in exon 20. Fisher's analysis within this data set, did not demonstrate a significant relationship between the severity of lung disease and SNPs in the CLC-2 gene. Conclusions CLC-2 is not a key modifier gene of CF lung phenotype. Further studies evaluating other phenotypes associated with CF may be useful in the future to assess the ability of CLC-2 to modify CF disease severity. PMID:15507145

CLC-2 single nucleotide polymorphisms (SNPs as potential modifiers of cystic fibrosis disease severity

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Bleecker Eugene R

2004-10-01

Full Text Available Abstract Background Cystic fibrosis (CF lung disease manifest by impaired chloride secretion leads to eventual respiratory failure. Candidate genes that may modify CF lung disease severity include alternative chloride channels. The objectives of this study are to identify single nucleotide polymorphisms (SNPs in the airway epithelial chloride channel, CLC-2, and correlate these polymorphisms with CF lung disease. Methods The CLC-2 promoter, intron 1 and exon 20 were examined for SNPs in adult CF dF508/dF508 homozygotes with mild and severe lung disease (forced expiratory volume at one second (FEV1 > 70% and Results PCR amplification of genomic CLC-2 and sequence analysis revealed 1 polymorphism in the hClC -2 promoter, 4 in intron 1, and none in exon 20. Fisher's analysis within this data set, did not demonstrate a significant relationship between the severity of lung disease and SNPs in the CLC-2 gene. Conclusions CLC-2 is not a key modifier gene of CF lung phenotype. Further studies evaluating other phenotypes associated with CF may be useful in the future to assess the ability of CLC-2 to modify CF disease severity.

Prevalence of comorbidities according to predominant phenotype and severity of chronic obstructive pulmonary disease

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Camiciottoli G

2016-09-01

Full Text Available Gianna Camiciottoli,1,2 Francesca Bigazzi,1 Chiara Magni,1 Viola Bonti,1 Stefano Diciotti,3 Maurizio Bartolucci,4 Mario Mascalchi,5 Massimo Pistolesi1 1Section of Respiratory Medicine, Department of Clinical and Experimental Medicine, 2Department of Clinical and Experimental Biomedical Sciences, University of Florence, Florence, 3Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi,” University of Bologna, Cesena, 4Department of Diagnostic Imaging, Careggi University Hospital, 5Radiodiagnostic Section, Department of Clinical and Experimental Biomedical Sciences, University of Florence, Florence, Italy Background: In addition to lung involvement, several other diseases and syndromes coexist in patients with chronic obstructive pulmonary disease (COPD. Our purpose was to investigate the prevalence of idiopathic arterial hypertension (IAH, ischemic heart disease, heart failure, peripheral vascular disease (PVD, diabetes, osteoporosis, and anxious depressive syndrome in a clinical setting of COPD outpatients whose phenotypes (predominant airway disease and predominant emphysema and severity (mild and severe diseases were determined by clinical and functional parameters. Methods: A total of 412 outpatients with COPD were assigned either a predominant airway disease or a predominant emphysema phenotype of mild or severe degree according to predictive models based on pulmonary functions (forced expiratory volume in 1 second/vital capacity; total lung capacity %; functional residual capacity %; and diffusing capacity of lung for carbon monoxide % and sputum characteristics. Comorbidities were assessed by objective medical records. Results: Eighty-four percent of patients suffered from at least one comorbidity and 75% from at least one cardiovascular comorbidity, with IAH and PVD being the most prevalent ones (62% and 28%, respectively. IAH prevailed significantly in predominant airway disease, osteoporosis prevailed

Moyamoya Disease Clinical Course and Severity in Childhood

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Ayse Kacar Bayram

2016-01-01

Full Text Available Aim: Moyamoya disease (MMD is a rare, progressive and oclusive cerebrovascular disorder, predominantly affecting the terminal segment of the internal carotid arteries (ICA and its main branches. The purpose of this study is to evaluate the clinical course and severity of MMD in pediatric patients. Material and Method: We examined 5 consecutive pediatric patients with MMD, focusing on clinical and radiological features, the therapy and outcome over the 58-month follow-up period. Results: The study population consisted of 3 boys and 2 girls. The mean age at diagnosis of patients was 7.2 ± 3.4 years (age range: 3-10 years. The mean duration of follow-up was 30.4 ± 17.4 months (follow-up interval: 12-58 months. Neurological findings at presentation included: motor deficit in 4 patients (80.0%, epileptic seizures in 2 patients (40.0%, movement disorders in 3 patients (60.0%, and headache in 1 patients (20.0%. There was areas of infarction on brain MRI in all patients. Angiographic findings included: internal carotid artery stenosis in all patients, anterior cerebral artery stenosis in 3 patients, middle cerebral artery stenosis in 3 patients, posterior cerebral artery stenosis in 2 patients, and vertebral artery stenosis in 1 patient. Enoxaparine therapy was started to all patients. Subdural hematoma developed in 1 patient during follow-up. Cerebral infarctions recurred despite medical treatment in 4 patients. Discussion: Although this disease is rare, it is an important cause of pediatric stroke. MMD shows different clinical course and disease severity in childhood. Early diagnosis and appropriate treatment are crucial.

A Network Inference Workflow Applied to Virulence-Related Processes in Salmonella typhimurium

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Taylor, Ronald C.; Singhal, Mudita; Weller, Jennifer B.; Khoshnevis, Saeed; Shi, Liang; McDermott, Jason E.

2009-04-20

Inference of the structure of mRNA transcriptional regulatory networks, protein regulatory or interaction networks, and protein activation/inactivation-based signal transduction networks are critical tasks in systems biology. In this article we discuss a workflow for the reconstruction of parts of the transcriptional regulatory network of the pathogenic bacterium Salmonella typhimurium based on the information contained in sets of microarray gene expression data now available for that organism, and describe our results obtained by following this workflow. The primary tool is one of the network inference algorithms deployed in the Software Environment for BIological Network Inference (SEBINI). Specifically, we selected the algorithm called Context Likelihood of Relatedness (CLR), which uses the mutual information contained in the gene expression data to infer regulatory connections. The associated analysis pipeline automatically stores the inferred edges from the CLR runs within SEBINI and, upon request, transfers the inferred edges into either Cytoscape or the plug-in Collective Analysis of Biological of Biological Interaction Networks (CABIN) tool for further post-analysis of the inferred regulatory edges. The following article presents the outcome of this workflow, as well as the protocols followed for microarray data collection, data cleansing, and network inference. Our analysis revealed several interesting interactions, functional groups, metabolic pathways, and regulons in S. typhimurium.

Studying the role of dystrophin-associated proteins in influencing Becker muscular dystrophy disease severity.

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van den Bergen, J C; Wokke, B H A; Hulsker, M A; Verschuuren, J J G M; Aartsma-Rus, A M

2015-03-01

Becker muscular dystrophy is characterized by a variable disease course. Many factors have been implicated to contribute to this diversity, among which the expression of several components of the dystrophin associated glycoprotein complex. Together with dystrophin, most of these proteins anchor the muscle fiber cytoskeleton to the extracellular matrix, thus protecting the muscle from contraction induced injury, while nNOS is primarily involved in inducing vasodilation during muscle contraction, enabling adequate muscle oxygenation. In the current study, we investigated the role of three components of the dystrophin associated glycoprotein complex (beta-dystroglycan, gamma-sarcoglycan and nNOS) and the dystrophin homologue utrophin on disease severity in Becker patients. Strength measurements, data about disease course and fresh muscle biopsies of the anterior tibial muscle were obtained from 24 Becker patients aged 19 to 66. The designation of Becker muscular dystrophy in this study was based on the mutation and not on the clinical severity. Contrary to previous studies, we were unable to find a relationship between expression of nNOS, beta-dystroglycan and gamma-sarcoglycan at the sarcolemma and disease severity, as measured by muscle strength in five muscle groups and age at reaching several disease milestones. Unexpectedly, we found an inverse correlation between utrophin expression at the sarcolemma and age at reaching disease milestones. Copyright © 2015 Elsevier B.V. All rights reserved.

Impact of Hospital Variables on Case Mix Index as a Marker of Disease Severity

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Mendez, Carmen M.; Harrington, Darrell W.; Christenson, Peter

2014-01-01

Abstract Case mix index (CMI) has become a standard indicator of hospital disease severity in the United States and internationally. However, CMI was designed to calculate hospital payments, not to track disease severity, and is highly dependent on documentation and coding accuracy. The authors evaluated whether CMI varied by characteristics affecting hospitals' disease severity (eg, trauma center or not). The authors also evaluated whether CMI was lower at public hospitals than private hospitals, given the diminished financial resources to support documentation enhancement at public hospitals. CMI data for a 14-year period from a large public database were analyzed longitudinally and cross-sectionally to define the impact of hospital variables on average CMI within and across hospital groups. Between 1996 and 2007, average CMI declined by 0.4% for public hospitals, while rising significantly for private for-profit (14%) and nonprofit (6%) hospitals. After the introduction of the Medicare Severity Diagnosis Related Group (MS-DRG) system in 2007, average CMI increased for all 3 hospital types but remained lowest in public vs. private for-profit or nonprofit hospitals (1.05 vs. 1.25 vs. 1.20; P<0.0001). By multivariate analysis, teaching hospitals, level 1 trauma centers, and larger hospitals had higher average CMI, consistent with a marker of disease severity, but only for private hospitals. Public hospitals had lower CMI across all subgroups. Although CMI had some characteristics of a disease severity marker, it was lower across all strata for public hospitals. Hence, caution is warranted when using CMI to adjust for disease severity across public vs. private hospitals. (Population Health Management 2014;17:28–34) PMID:23965045

Optimal inference with suboptimal models: Addiction and active Bayesian inference

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Schwartenbeck, Philipp; FitzGerald, Thomas H.B.; Mathys, Christoph; Dolan, Ray; Wurst, Friedrich; Kronbichler, Martin; Friston, Karl

2015-01-01

When casting behaviour as active (Bayesian) inference, optimal inference is defined with respect to an agent’s beliefs – based on its generative model of the world. This contrasts with normative accounts of choice behaviour, in which optimal actions are considered in relation to the true structure of the environment – as opposed to the agent’s beliefs about worldly states (or the task). This distinction shifts an understanding of suboptimal or pathological behaviour away from aberrant inference as such, to understanding the prior beliefs of a subject that cause them to behave less ‘optimally’ than our prior beliefs suggest they should behave. Put simply, suboptimal or pathological behaviour does not speak against understanding behaviour in terms of (Bayes optimal) inference, but rather calls for a more refined understanding of the subject’s generative model upon which their (optimal) Bayesian inference is based. Here, we discuss this fundamental distinction and its implications for understanding optimality, bounded rationality and pathological (choice) behaviour. We illustrate our argument using addictive choice behaviour in a recently described ‘limited offer’ task. Our simulations of pathological choices and addictive behaviour also generate some clear hypotheses, which we hope to pursue in ongoing empirical work. PMID:25561321

Stem cell therapy for severe autoimmune diseases

Directory of Open Access Journals (Sweden)

Marmont Alberto M.

2002-01-01

Full Text Available Intense immunosuppresion followed by alogenic or autogenic hematopoietic stem cell transplantation is a relatively recent procedure which was used for the first time in severe, refractory cases of systemic lupus erythematosus. Currently three agressive procedures are used in the treatment of autoimmune diseases: high dose chemotherapy without stem cell rescue, intense immunosuppression with subsequent infusion of the alogenic hematopoietic stem cell transplantation combined with or without the selection of CD34+ cells, and the autogenic hematopoietic stem cell transplantation. Proof of the graft-versus-leukemia effect observed define SCT as a form of immunotherapy, with additional evidence of an similar Graft-vs-Autoimmunity effect which is suggestive of a cure for autoimmune diseases in this type of therapy. The use of alogenic SCT improved due to its safety compared to autogenic transplantations. In this report, data of multiply sclerosis and systemic lupus erythematosus are reported, with the conclusion that Immunoablation followed by SCT is clearly indicated in such cases.

Causal inference in survival analysis using pseudo-observations.

Science.gov (United States)

Andersen, Per K; Syriopoulou, Elisavet; Parner, Erik T

2017-07-30

Causal inference for non-censored response variables, such as binary or quantitative outcomes, is often based on either (1) direct standardization ('G-formula') or (2) inverse probability of treatment assignment weights ('propensity score'). To do causal inference in survival analysis, one needs to address right-censoring, and often, special techniques are required for that purpose. We will show how censoring can be dealt with 'once and for all' by means of so-called pseudo-observations when doing causal inference in survival analysis. The pseudo-observations can be used as a replacement of the outcomes without censoring when applying 'standard' causal inference methods, such as (1) or (2) earlier. We study this idea for estimating the average causal effect of a binary treatment on the survival probability, the restricted mean lifetime, and the cumulative incidence in a competing risks situation. The methods will be illustrated in a small simulation study and via a study of patients with acute myeloid leukemia who received either myeloablative or non-myeloablative conditioning before allogeneic hematopoetic cell transplantation. We will estimate the average causal effect of the conditioning regime on outcomes such as the 3-year overall survival probability and the 3-year risk of chronic graft-versus-host disease. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Anti-actin IgA antibodies in severe coeliac disease.

Science.gov (United States)

Granito, A; Muratori, P; Cassani, F; Pappas, G; Muratori, L; Agostinelli, D; Veronesi, L; Bortolotti, R; Petrolini, N; Bianchi, F B; Volta, U

2004-08-01

Anti-actin IgA antibodies have been found in sera of coeliacs. Our aim was to define the prevalence and clinical significance of anti-actin IgA in coeliacs before and after gluten withdrawal. One hundred and two biopsy-proven coeliacs, 95 disease controls and 50 blood donors were studied. Anti-actin IgA were evaluated by different methods: (a) antimicrofilament positivity on HEp-2 cells and on cultured fibroblasts by immunofluorescence; (b) anti-actin positivity by enzyme-linked immuosorbent assay (ELISA); and (c) presence of the tubular/glomerular pattern of anti-smooth muscle antibodies on rat kidney sections by immunofluorescence. Antimicrofilament IgA were present in 27% of coeliacs and in none of the controls. Antimicrofilament antibodies were found in 25 of 54 (46%) coeliacs with severe villous atrophy and in three of 48 (6%) with mild damage (P < 0.0001). In the 20 patients tested, antimicrofilaments IgA disappeared after gluten withdrawal in accordance with histological recovery. Our study shows a significant correlation between antimicrofilament IgA and the severity of intestinal damage in untreated coeliacs. The disappearance of antimicrofilament IgA after gluten withdrawal predicts the normalization of intestinal mucosa and could be considered a useful tool in the follow-up of severe coeliac disease.

It's about time - a critique of macroecological inferences concerning plant competition

DEFF Research Database (Denmark)

Damgaard, Christian Frølund; Weiner, Jacob

2017-01-01

Several macroecological studies have used static spatial data to evaluate plant competition in natural ecosystems and to investigate its role in plant community dynamics and species assembly. The assumptions on which the inferences are based have not been consistent with ecological knowledge....... Inferences about processes, such as competition, from static data are weak. Macroecology will benefit more from dynamic data, even if limited, than from increasingly sophisticated analyses of static spatial patterns....

Inference rule and problem solving

Energy Technology Data Exchange (ETDEWEB)

Goto, S

1982-04-01

Intelligent information processing signifies an opportunity of having man's intellectual activity executed on the computer, in which inference, in place of ordinary calculation, is used as the basic operational mechanism for such an information processing. Many inference rules are derived from syllogisms in formal logic. The problem of programming this inference function is referred to as a problem solving. Although logically inference and problem-solving are in close relation, the calculation ability of current computers is on a low level for inferring. For clarifying the relation between inference and computers, nonmonotonic logic has been considered. The paper deals with the above topics. 16 references.

Severe ipsilateral carotid stenosis and middle cerebral artery disease in lacunar ischaemic stroke: innocent bystanders?

Science.gov (United States)

Mead, G E; Lewis, S C; Wardlaw, J M; Dennis, M S; Warlow, C P

2002-03-01

Lacunar infarcts are thought to be mostly due to intracranial small vessel disease. Therefore, when a stroke patient with a relevant lacunar infarct does have severe ipsilateral internal carotid artery (ICA) or middle cerebral artery (MCA) disease, it is unclear whether the arterial disease is causative or coincidental. If causative, we would expect ICA/MCA disease to be more severe on the symptomatic side than on the asymptomatic side. Therefore, our aim was to compare the severity of ipsilateral with contralateral ICA and MCA disease in patients with lacunar ischaemic stroke. We studied 259 inpatients and outpatients with a recent lacunar ischaemic stroke and no other prior stroke. We used carotid Duplex ultrasound and transcranial Doppler (TCD) ultrasound to identify ICA and MCA disease, and compared our results with previously published data. In our study, there was no difference between the severity of ipsilateral and contralateral ICA stenosis within individuals (median difference 0%, Wilcoxon paired data p=0.24, comparing severity of ipsilateral and contralateral stenosis). The overall prevalence of severe ipsilateral stenosis was 5%, and the prevalence of severe contralateral stenosis was 4% (OR 1.6, 95% CI 0.6, 4.8). There was no difference in the prevalence of ipsilateral and contralateral MCA disease. A systematic review of the other available studies strengthened this conclusion. Carotid stenosis in patients with a lacunar ischaemic stroke may be coincidental. Further studies are required to elucidate the causes of lacunar stroke, and to evaluate the role of carotid endarterectomy.

Diagnosis of severe and extensive coronary artery disease using gated myocardial perfusion SPECT

Energy Technology Data Exchange (ETDEWEB)

Cho, Ihn Ho; Lee, Hyoung Woo; Won, Kyu Chang; Park, Jong Sun; Sin, Dog Gu; Kim, Young Jo; Shim, Bong Sub [College of Medicine, Yeungnam Univ., Taegu (Korea, Republic of)

1999-07-01

Left ventricular volumes and ejection fractions constitute important informations in the diagnosis and prognosis of cardiac disease. Aim of the study is to verify if the assessment of left ventricular function and perfusion together by gated myocardial perfusion SPECT is useful for diagnosing severe and extensive CAD. We examined 27 consecutive patients (17 males and 10 females, mean age : 60.1 years) who underwent two day rest/stress Tc-99m MIBI gated SPECT. Stress was done with adenosine. Post-stress gated SPECT was done at 1 hour after an injection of Tc-99m MIBI (740 MBq). All patients underwent coronary angiography after gated SPECT within 1 month. We divided them three groups with single vessel disease, double vessel disease and triple vessel disease or severe proximal left coronary artery stenosis. Extent of Defect (ED), Reversibility of Extent (RE), Severity of Defect (SD) and Severity of Reversibility (SR) were calculated by CEqual program. Post-stress LVEF, Rest LVEF, End-diastolic volume(EDV), End-systolic volume(ESV), Transient Ischemic Dilation (TID) of left ventricle (Post-stress EDV/Rest EDV) were calculated using gated SPECT quantification program. Left ventricle is divided with 18 segments and wall motion was scored (normal=0, mild hypokinesia =1, severe hypokinesia =2, akinesia =3 and dyskinesia =4), and then post-stress summed wall motion score was calculated. Post-stress summed wall motion score and post-stress LVEF were significant differences between three groups ( P <0.01). Extent of defect, Extent of reversibility, Severity of defect and severity of reversibility in Polar map were significant differences between three groups ( P <0.01). Post-stress Transient left ventricular dilatation and test LVEF were not significant differences between three groups ( P > 0.05). The gated SPECT pattern (low post-stress LVEF and post-stress summed wall motion score) add important diagnostic information over ungated perfusion data (high ED, ER and SR and

Knowledge and inference

CERN Document Server

Nagao, Makoto

1990-01-01

Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of """"knowledge"""" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intellig

An algebra-based method for inferring gene regulatory networks.

Science.gov (United States)

Vera-Licona, Paola; Jarrah, Abdul; Garcia-Puente, Luis David; McGee, John; Laubenbacher, Reinhard

2014-03-26

The inference of gene regulatory networks (GRNs) from experimental observations is at the heart of systems biology. This includes the inference of both the network topology and its dynamics. While there are many algorithms available to infer the network topology from experimental data, less emphasis has been placed on methods that infer network dynamics. Furthermore, since the network inference problem is typically underdetermined, it is essential to have the option of incorporating into the inference process, prior knowledge about the network, along with an effective description of the search space of dynamic models. Finally, it is also important to have an understanding of how a given inference method is affected by experimental and other noise in the data used. This paper contains a novel inference algorithm using the algebraic framework of Boolean polynomial dynamical systems (BPDS), meeting all these requirements. The algorithm takes as input time series data, including those from network perturbations, such as knock-out mutant strains and RNAi experiments. It allows for the incorporation of prior biological knowledge while being robust to significant levels of noise in the data used for inference. It uses an evolutionary algorithm for local optimization with an encoding of the mathematical models as BPDS. The BPDS framework allows an effective representation of the search space for algebraic dynamic models that improves computational performance. The algorithm is validated with both simulated and experimental microarray expression profile data. Robustness to noise is tested using a published mathematical model of the segment polarity gene network in Drosophila melanogaster. Benchmarking of the algorithm is done by comparison with a spectrum of state-of-the-art network inference methods on data from the synthetic IRMA network to demonstrate that our method has good precision and recall for the network reconstruction task, while also predicting several of the

Geometric statistical inference

International Nuclear Information System (INIS)

Periwal, Vipul

1999-01-01

A reparametrization-covariant formulation of the inverse problem of probability is explicitly solved for finite sample sizes. The inferred distribution is explicitly continuous for finite sample size. A geometric solution of the statistical inference problem in higher dimensions is outlined

Disseminated bacillus calmette guerin disease in a twin infant with severe combined immunodeficiency disease

Directory of Open Access Journals (Sweden)

Hema Mittal

2014-01-01

Full Text Available Fatal-disseminated Bacillus Calmette Guerin (BCG disease is well known in infants with severe combined immunodeficiency after BCG vaccination. We report a 7 month male infant delivered as a product of in vitro fertilization and twin gestation that presented with fever, cough and multiple nodular skin lesions. A biopsy of skin lesions revealed the presence of acid fast bacilli. Mycobacterium bovis infection was confirmed by polymerase chain reaction (PCR and molecular studies. Immunological profile confirmed the diagnosis of severe combined immunodeficiency. Only few reports of similar case exist in the literature.

Pediatric Cushing disease: disparities in disease severity and outcomes in the Hispanic and African-American populations.

Science.gov (United States)

Gkourogianni, Alexandra; Sinaii, Ninet; Jackson, Sharon H; Karageorgiadis, Alexander S; Lyssikatos, Charalampos; Belyavskaya, Elena; Keil, Margaret F; Zilbermint, Mihail; Chittiboina, Prashant; Stratakis, Constantine A; Lodish, Maya B

2017-08-01

BackgroundLittle is known about the contribution of racial and socioeconomic disparities to severity and outcomes in children with Cushing disease (CD).MethodsA total of 129 children with CD, 45 Hispanic/Latino or African-American (HI/AA) and 84 non-Hispanic White (non-HW), were included in this study. A 10-point index for rating severity (CD severity) incorporated the degree of hypercortisolemia, glucose tolerance, hypertension, anthropomorphic measurements, disease duration, and tumor characteristics. Race, ethnicity, age, gender, local obesity prevalence, estimated median income, and access to care were assessed in regression analyses of CD severity.ResultsThe mean CD severity in the HI/AA group was worse than that in the non-HW group (4.9±2.0 vs. 4.1±1.9, P=0.023); driving factors included higher cortisol levels and larger tumor size. Multiple regression models confirmed that race (P=0.027) and older age (P=0.014) were the most important predictors of worse CD severity. When followed up a median of 2.3 years after surgery, the relative risk for persistent CD combined with recurrence was 2.8 times higher in the HI/AA group compared with that in the non-HW group (95% confidence interval: 1.2-6.5).ConclusionOur data show that the driving forces for the discrepancy in severity of CD are older age and race/ethnicity. Importantly, the risk for persistent and recurrent CD was higher in minority children.

Quantifying the Severity of Phytophthora Root Rot Disease in Avocado Trees Using Image Analysis

Directory of Open Access Journals (Sweden)

Arachchige Surantha Ashan Salgadoe

2018-02-01

Full Text Available Phytophthora root rot (PRR infects the roots of avocado trees, resulting in reduced uptake of water and nutrients, canopy decline, defoliation, and, eventually, tree mortality. Typically, the severity of PRR disease (proportion of canopy decline is assessed by visually comparing the canopy health of infected trees to a standardised set of photographs and a corresponding disease rating. Although this visual method provides some indication of the spatial variability of PRR disease across orchards, the accuracy and repeatability of the ranking is influenced by the experience of the assessor, the visibility of tree canopies, and the timing of the assessment. This study evaluates two image analysis methods that may serve as surrogates to the visual assessment of canopy decline in large avocado orchards. A smartphone camera was used to collect red, green, and blue (RGB colour images of individual trees with varying degrees of canopy decline, with the digital photographs then analysed to derive a canopy porosity percentage using a combination of ‘Canny edge detection’ and ‘Otsu’s’ methods. Coinciding with the on-ground measure of canopy porosity, the canopy reflectance characteristics of the sampled trees measured by high resolution Worldview-3 (WV-3 satellite imagery was also correlated against the observed disease severity rankings. Canopy porosity values (ranging from 20–70% derived from RGB images were found to be significantly different for most disease rankings (p < 0.05 and correlated well (R2 = 0.89 with the differentiation of three disease severity levels identified to be optimal. From the WV-3 imagery, a multivariate stepwise regression of 18 structural and pigment-based vegetation indices found the simplified ratio vegetation index (SRVI to be strongly correlated (R2 = 0.96 with the disease rankings of PRR disease severity, with the differentiation of four levels of severity found to be optimal.

Estrogen exposure, obesity and thyroid disease in women with severe pulmonary hypertension

Directory of Open Access Journals (Sweden)

Sweeney Lori

2009-09-01

Full Text Available Abstract Severe pulmonary hypertension is a lethal group of disorders which preferentially afflicts women. It appears that in recent years the patient profile has shifted towards older, obese, and postmenopausal women, suggesting that endocrine factors may be important. Several studies have revealed an increased prevalence of thyroid disease in these patients, but no studies have evaluated for a coexistence of endocrine factors. In particular, no studies have attempted to evaluate for concurrent thyroid disease, obesity and long-term estrogen exposure in patients. 88 patients attending the Pulmonary Hypertension Association 8th International meeting completed a questionnaire and were interviewed. Information was collected regarding reproductive history, height, weight, and previous diagnosis of thyroid disease. 46% met criteria for obesity. 41% reported a diagnosis of thyroid disease. 81% of women reported prior use of hormone therapy. 70% reported greater than 10 years of exogenous hormone use. 74% of female patients reported two or more of potentially disease modifying endocrine factors (obesity, thyroid disease or estrogen therapy. The coexistent high prevalence in our cohort of exogenous estrogen exposure, thyroid disease and obesity suggests that an interaction of multiple endocrine factors might contribute to the pathogenesis of pulmonary hypertension and may represent epigenetic modifiers in genetically-susceptible individuals.

Prediction of Severe Disease in Children with Diarrhea in a Resource-Limited Setting

Science.gov (United States)

Levine, Adam C.; Munyaneza, Richard M.; Glavis-Bloom, Justin; Redditt, Vanessa; Cockrell, Hannah C.; Kalimba, Bantu; Kabemba, Valentin; Musavuli, Juvenal; Gakwerere, Mathias; Umurungi, Jean Paul de Charles; Shah, Sachita P.; Drobac, Peter C.

2013-01-01

Objective To investigate the accuracy of three clinical scales for predicting severe disease (severe dehydration or death) in children with diarrhea in a resource-limited setting. Methods Participants included 178 children admitted to three Rwandan hospitals with diarrhea. A local physician or nurse assessed each child on arrival using the World Health Organization (WHO) severe dehydration scale and the Centers for Disease Control (CDC) scale. Children were weighed on arrival and daily until they achieved a stable weight, with a 10% increase between admission weight and stable weight considered severe dehydration. The Clinical Dehydration Scale was then constructed post-hoc using the data collected for the other two scales. Receiver Operator Characteristic (ROC) curves were constructed for each scale compared to the composite outcome of severe dehydration or death. Results The WHO severe dehydration scale, CDC scale, and Clinical Dehydration Scale had areas under the ROC curves (AUCs) of 0.72 (95% CI 0.60, 0.85), 0.73 (95% CI 0.62, 0.84), and 0.80 (95% CI 0.71, 0.89), respectively, in the full cohort. Only the Clinical Dehydration Scale was a significant predictor of severe disease when used in infants, with an AUC of 0.77 (95% CI 0.61, 0.93), and when used by nurses, with an AUC of 0.78 (95% CI 0.63, 0.93). Conclusions While all three scales were moderate predictors of severe disease in children with diarrhea, scale accuracy varied based on provider training and age of the child. Future research should focus on developing or validating clinical tools that can be used accurately by nurses and other less-skilled providers to assess all children with diarrhea in resource-limited settings. PMID:24349271

Successful Handling of Disseminated BCG Disease in a Child with Severe Combined Immunodeficiency

OpenAIRE

Bacalhau, S; Freitas, C; Valente, R; Barata, D; Neves, C; Schäfer, K; Lubatschofski, A; Schulz, A; Farela Neves, J

2011-01-01

In high-burden countries, Mycobacterium bovis Bacillus Calmette-Guérin (BCG) vaccine is administered in newborn to prevent severe Mycobacterium tuberculosis infection. Because life-threatening disseminated BCG disease may occur in children with primary immunodeficiency, vaccination strategy against tuberculosis should be redefined in non-high-burden countries. We report the case of a patient with X-linked severe combined immunodeficiency (SCID) who developed disseminated BCG disease, highligh...

Asymptomatic carotid artery stenosis in patients with severe peripheral vascular diseases

Directory of Open Access Journals (Sweden)

Rasoul Mirsharifi

2009-04-01

Full Text Available

• BACKGROUND: The prevalence of carotid artery stenosis (CAS in the  eneral population is not high enough to justify screening programs. This study was done to determine the prevalence of asymptomatic carotid artery stenosis (ACAS among patients with severe peripheral vascular disease (PVD.
• METHODS: Between March 2005 and February 2006, 54 consecutive  atients with severe PVD admitted at a vascular surgery unit and underwent carotid duplex scanning in a prospective study. A  uestionnaire was used to collect data concerning known risk factors. Significant CAS was defined as a stenosis of 70% or greater.
• RESULTS: The mean age was 62.5 years (51-72. Out of 54 patients, 2 (3.7% had an occluded internal carotid artery. Significant CAS was found in 9 (16.7% and its presence was correlated with diabetes, hypertension, hypercholesterolemia, hypertriglyceridemia, coronary artery disease, severity of symptoms, ankle-brachial index, and carotid bruit. On multivariate analysis, only hypercholesterolemia and carotid bruit seemed to have independent influence.
• CONCLUSION: The prevalence of significant ACAS is higher among  atients with severe PVD. This patient population may indicate a  uitable subgroup for screening of ACAS, especially when hypercholesterolemia and carotid bruit are present.
• KEYWORDS: Carotid artery stenosis, duplex ultrasound scanning, peripheral vascular disease, carotid endarterectomy,
• cerebrovascular accident.

Growth Hormone and Disease Severity in Early Stage of Multiple Sclerosis

Directory of Open Access Journals (Sweden)

M. Gironi

2013-01-01

Full Text Available Evidence suggests that neurohormones such as GH and IGF-I are involved in the neuroreparative processes in multiple sclerosis (MS. GH and IGF-I blood levels in naïve MS patients with different disease courses were investigated in this study. Serum GH and IGF-I in untreated MS patients (n=64, healthy controls (HC, n=62, and patients affected by other neurological diseases (OND, n=46 were evaluated with a solid-phase-enzyme-labeled-chemiluminescent-immunometric assay. No differences were detected in GH across MS, OND, and HC (MS=0.87±1.32 ng/mL; OND=1.66±3.7; and HC=1.69±3.35; P=0.858 when considering gender, disease duration, and disease course. However, GH was lower (P=0.007 in patients with more severe disease (expanded disability scale score, EDSS≥4.0 compared with milder forms (EDSS<4. IGF-I l did not differ across the 3 groups (P=0.160, as far as concern disease course, disability, and gender were. Lower IGF-I levels were detected in subjects older than 50 years compared to younger ones for all 3 groups. Lower GH was detected in patients with more severe MS, and age was confirmed as the main factor driving IGF-I levels in all subjects. These findings, relying on the natural course of the disease, could help in shedding lights on the mechanisms involved in autoreparative failure associated with poorer prognosis in MS.

Severe hyponatraemia with absence of hyperkalaemia in rapidly progressive Addison's disease.

Science.gov (United States)

Thompson, Michael D; Kalmar, Eileen; Bowden, Sasigarn A

2015-05-28

We present a case of rapidly progressing Addison's disease in adrenal crisis with severe hyponatraemia and absence of hyperkalaemia in a 10-year-old girl. She presented with 2 weeks of vomiting, fatigue and weight loss. Her serum electrolytes obtained 1 week prior to presentation were normal, except for mild hyponatraemia at 131 mmol/L, which dropped to 112 mmol/L on admission. She had normal serum potassium, low-serum osmolality, with elevated urine sodium and osmolality, indistinguishable from syndrome of inappropriate antidiuretic hormone (SIADH). Subsequently, Addison's disease was diagnosed on the basis of gingival hyperpigmentation and undetectable cortisol on adrenocorticotropic hormone stimulation test. She rapidly responded to stress dose hydrocortisone, followed by hydrocortisone and fludrocortisone replacement therapy. The absence of hyperkalaemia in the presence of severe hyponatraemia cannot rule out Addison's disease in children. The mechanism of hypo-osmolar hyponatraemia in primary adrenal insufficiency and clinical clues to differentiate it from SIADH are discussed. 2015 BMJ Publishing Group Ltd.

Correlation of hyponatremia with hepatic encephalopathy and severity of liver disease.

Science.gov (United States)

Qureshi, Muhammad Omar; Khokhar, Nasir; Saleem, Atif; Niazi, Tariq Khan

2014-02-01

To assess the frequency of low serum sodium levels and to correlate it with the severity of liver disease and hepatic encephalopathy (HE) in patients coming to the tertiary care hospital. Observational study. Shifa International Hospital, Islamabad, from January 2011 to January 2012. A total of 202 patients with hepatic encephalopathy and chronic liver disease had serum sodium measured. The HE was graded according to the West Haven classification (4 grades). Relationship of hyponatremia was correlated with severity grade of encephalopathy using Spearman rank correlation test. Out of 202 patients, 62 (30.7%) patients had serum sodium less than 130 meq/l. Out of 202, HE was present in 69 (34.15%) patients and out of these, 38 had grade III-IV HE and 31 had grade I - II HE. Out of 69 patients with HE 57 had sodium less than 135 (p liver disease. The existence of serum sodium concentration encephalopathy compared with patients with serum sodium concentration > 135 mmol/L.

Goal inferences about robot behavior : goal inferences and human response behaviors

NARCIS (Netherlands)

Broers, H.A.T.; Ham, J.R.C.; Broeders, R.; De Silva, P.; Okada, M.

2014-01-01

This explorative research focused on the goal inferences human observers draw based on a robot's behavior, and the extent to which those inferences predict people's behavior in response to that robot. Results show that different robot behaviors cause different response behavior from people.

Discussion on calculation of disease severity index values from scales with unequal intervals

Science.gov (United States)

When estimating severity of disease, a disease interval (or category) scale comprises a number of categories of known numeric values – with plant disease this is generally the percent area with symptoms (e.g., the Horsfall-Barratt (H-B) scale). Studies in plant pathology and plant breeding often use...

Robust Demographic Inference from Genomic and SNP Data

Science.gov (United States)

Excoffier, Laurent; Dupanloup, Isabelle; Huerta-Sánchez, Emilia; Sousa, Vitor C.; Foll, Matthieu

2013-01-01

We introduce a flexible and robust simulation-based framework to infer demographic parameters from the site frequency spectrum (SFS) computed on large genomic datasets. We show that our composite-likelihood approach allows one to study evolutionary models of arbitrary complexity, which cannot be tackled by other current likelihood-based methods. For simple scenarios, our approach compares favorably in terms of accuracy and speed with , the current reference in the field, while showing better convergence properties for complex models. We first apply our methodology to non-coding genomic SNP data from four human populations. To infer their demographic history, we compare neutral evolutionary models of increasing complexity, including unsampled populations. We further show the versatility of our framework by extending it to the inference of demographic parameters from SNP chips with known ascertainment, such as that recently released by Affymetrix to study human origins. Whereas previous ways of handling ascertained SNPs were either restricted to a single population or only allowed the inference of divergence time between a pair of populations, our framework can correctly infer parameters of more complex models including the divergence of several populations, bottlenecks and migration. We apply this approach to the reconstruction of African demography using two distinct ascertained human SNP panels studied under two evolutionary models. The two SNP panels lead to globally very similar estimates and confidence intervals, and suggest an ancient divergence (>110 Ky) between Yoruba and San populations. Our methodology appears well suited to the study of complex scenarios from large genomic data sets. PMID:24204310

Celiac disease causing severe osteomalacia: an association still present in Morocco!

Science.gov (United States)

Tahiri, Latifa; Azzouzi, Hamida; Squalli, Ghita; Abourazzak, Fatimazahra; Harzy, Taoufik

2014-01-01

Celiac disease (CD), a malabsorption syndrome caused by hypersensitivity to gliadin fraction of gluten. CD can manifest with classic symptoms; however, significant myopathy and multiple fractures are rarely the predominant presentation of untreated celiac disease. Osteomalacia complicating celiac disease had become more and more rare. We describe here a case of osteomalacia secondary to a longstanding untreated celiac disease. This patient complained about progressive bone and muscular pain, weakness, fractures and skeletal deformities. Radiological and laboratory findings were all in favor of severe osteomalacia. Improvement of patient's weakness and laboratory abnormalities was obvious after treatment with gluten free diet, vitamin D, calcium and iron. This case affirms that chronic untreated celiac disease, can lead to an important bone loss and irreversible complications like skeletal deformities.

LASSIM-A network inference toolbox for genome-wide mechanistic modeling.

Directory of Open Access Journals (Sweden)

Rasmus Magnusson

2017-06-01

with truly systems-level data. We demonstrate the power of this approach by inferring a mechanistically motivated, genome-wide model of the Th2 transcription regulatory system, which plays an important role in several immune related diseases.

It's About Time: A Critique of Macroecological Inferences Concerning Plant Competition.

Science.gov (United States)

Damgaard, Christian; Weiner, Jacob

2017-02-01

Several macroecological studies have used static spatial data to evaluate plant competition in natural ecosystems and to investigate its role in plant community dynamics and species assembly. The assumptions on which the inferences are based have not been consistent with ecological knowledge. Inferences about processes, such as competition, from static data are weak. Macroecology will benefit more from dynamic data, even if limited, than from increasingly sophisticated analyses of static spatial patterns. Copyright © 2016 Elsevier Ltd. All rights reserved.

Entropic Inference

OpenAIRE

Caticha, Ariel

2010-01-01

In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents. The problem of updating from a prior to a posterior probability distribution is tackled through an eliminative induction process that singles out the logarithmic relative entropy as the unique tool for inference. The resulting method of Maximum relative Entropy (ME), includes as special cases both MaxEn...

Successful Handling of Disseminated BCG Disease in a Child with Severe Combined Immunodeficiency

Directory of Open Access Journals (Sweden)

Sílvia Bacalhau

2011-01-01

Full Text Available In high-burden countries, Mycobacterium bovis Bacillus Calmette-Guérin (BCG vaccine is administered in newborn to prevent severe Mycobacterium tuberculosis infection. Because life-threatening disseminated BCG disease may occur in children with primary immunodeficiency, vaccination strategy against tuberculosis should be redefined in non-high-burden countries. We report the case of a patient with X-linked severe combined immunodeficiency (SCID who developed disseminated BCG disease, highlighting the specific strategies adopted.

Blood pressure indices and disease severity in patients with sickle ...

African Journals Online (AJOL)

Background: Individuals with sickle cell anaemia (SCA) have lower systemic blood pressures compared to individuals with haemoglobin Hb AA phenotype. Objective: To evaluate blood pressure indices of individuals with SCA in steady state, in comparison with haematological and clinical markers of disease severity.

Processing inferences at the semantics/pragmatics frontier: disjunctions and free choice.

Science.gov (United States)

Chemla, Emmanuel; Bott, Lewis

2014-03-01

Linguistic inferences have traditionally been studied and categorized in several categories, such as entailments, implicatures or presuppositions. This typology is mostly based on traditional linguistic means, such as introspective judgments about phrases occurring in different constructions, in different conversational contexts. More recently, the processing properties of these inferences have also been studied (see, e.g., recent work showing that scalar implicatures is a costly phenomenon). Our focus is on free choice permission, a phenomenon by which conjunctive inferences are unexpectedly added to disjunctive sentences. For instance, a sentence such as "Mary is allowed to eat an ice-cream or a cake" is normally understood as granting permission both for eating an ice-cream and for eating a cake. We provide data from four processing studies, which show that, contrary to arguments coming from the theoretical literature, free choice inferences are different from scalar implicatures. Copyright © 2013 Elsevier B.V. All rights reserved.

[Severity classification of chronic obstructive pulmonary disease based on deep learning].

Science.gov (United States)

Ying, Jun; Yang, Ceyuan; Li, Quanzheng; Xue, Wanguo; Li, Tanshi; Cao, Wenzhe

2017-12-01

In this paper, a deep learning method has been raised to build an automatic classification algorithm of severity of chronic obstructive pulmonary disease. Large sample clinical data as input feature were analyzed for their weights in classification. Through feature selection, model training, parameter optimization and model testing, a classification prediction model based on deep belief network was built to predict severity classification criteria raised by the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We get accuracy over 90% in prediction for two different standardized versions of severity criteria raised in 2007 and 2011 respectively. Moreover, we also got the contribution ranking of different input features through analyzing the model coefficient matrix and confirmed that there was a certain degree of agreement between the more contributive input features and the clinical diagnostic knowledge. The validity of the deep belief network model was proved by this result. This study provides an effective solution for the application of deep learning method in automatic diagnostic decision making.

Polyparasitism Is Associated with Increased Disease Severity in Toxoplasma gondii-Infected Marine Sentinel Species

Science.gov (United States)

Gibson, Amanda K.; Raverty, Stephen; Lambourn, Dyanna M.; Huggins, Jessica; Magargal, Spencer L.; Grigg, Michael E.

2011-01-01

In 1995, one of the largest outbreaks of human toxoplasmosis occurred in the Pacific Northwest region of North America. Genetic typing identified a novel Toxoplasma gondii strain linked to the outbreak, in which a wide spectrum of human disease was observed. For this globally-distributed, water-borne zoonosis, strain type is one variable influencing disease, but the inability of strain type to consistently explain variations in disease severity suggests that parasite genotype alone does not determine the outcome of infection. We investigated polyparasitism (infection with multiple parasite species) as a modulator of disease severity by examining the association of concomitant infection of T. gondii and the related parasite Sarcocystis neurona with protozoal disease in wild marine mammals from the Pacific Northwest. These hosts ostensibly serve as sentinels for the detection of terrestrial parasites implicated in water-borne epidemics of humans and wildlife in this endemic region. Marine mammals (151 stranded and 10 healthy individuals) sampled over 6 years were assessed for protozoal infection using multi-locus PCR-DNA sequencing directly from host tissues. Genetic analyses uncovered a high prevalence and diversity of protozoa, with 147/161 (91%) of our sampled population infected. From 2004 to 2009, the relative frequency of S. neurona infections increased dramatically, surpassing that of T. gondii. The majority of T. gondii infections were by genotypes bearing Type I lineage alleles, though strain genotype was not associated with disease severity. Significantly, polyparasitism with S. neurona and T. gondii was common (42%) and was associated with higher mortality and more severe protozoal encephalitis. Our finding of widespread polyparasitism among marine mammals indicates pervasive contamination of waterways by zoonotic agents. Furthermore, the significant association of concomitant infection with mortality and protozoal encephalitis identifies polyparasitism as

Polyparasitism is associated with increased disease severity in Toxoplasma gondii-infected marine sentinel species.

Directory of Open Access Journals (Sweden)

Amanda K Gibson

2011-05-01

Full Text Available In 1995, one of the largest outbreaks of human toxoplasmosis occurred in the Pacific Northwest region of North America. Genetic typing identified a novel Toxoplasma gondii strain linked to the outbreak, in which a wide spectrum of human disease was observed. For this globally-distributed, water-borne zoonosis, strain type is one variable influencing disease, but the inability of strain type to consistently explain variations in disease severity suggests that parasite genotype alone does not determine the outcome of infection. We investigated polyparasitism (infection with multiple parasite species as a modulator of disease severity by examining the association of concomitant infection of T. gondii and the related parasite Sarcocystis neurona with protozoal disease in wild marine mammals from the Pacific Northwest. These hosts ostensibly serve as sentinels for the detection of terrestrial parasites implicated in water-borne epidemics of humans and wildlife in this endemic region. Marine mammals (151 stranded and 10 healthy individuals sampled over 6 years were assessed for protozoal infection using multi-locus PCR-DNA sequencing directly from host tissues. Genetic analyses uncovered a high prevalence and diversity of protozoa, with 147/161 (91% of our sampled population infected. From 2004 to 2009, the relative frequency of S. neurona infections increased dramatically, surpassing that of T. gondii. The majority of T. gondii infections were by genotypes bearing Type I lineage alleles, though strain genotype was not associated with disease severity. Significantly, polyparasitism with S. neurona and T. gondii was common (42% and was associated with higher mortality and more severe protozoal encephalitis. Our finding of widespread polyparasitism among marine mammals indicates pervasive contamination of waterways by zoonotic agents. Furthermore, the significant association of concomitant infection with mortality and protozoal encephalitis identifies

Natural history of severe atheromatous disease of the thoracic aorta: a transesophageal echocardiographic study.

Science.gov (United States)

Montgomery, D H; Ververis, J J; McGorisk, G; Frohwein, S; Martin, R P; Taylor, W R

1996-01-01

This study sought to prospectively observe the morphologic and clinical natural history of severe atherosclerotic disease of the thoracic aorta as defined by transesophageal echocardiography. Atherosclerosis of the thoracic aorta has been shown to be highly associated with risk for embolic events in transesophageal studies, but the natural history of the disease under clinical conditions has not been reported. During a 20-month period, 191 of 264 patients undergoing transesophageal echocardiography had adequate visualization of the aorta to allow atherosclerotic severity to be graded as follows: grade I = normal (44 patients); grade II = intimal thickening (52 patients); grade III = atheroma or = 5 mm (19 patients); grade V = mobile lesion (14 patients). All available patients with grades IV (8 patients) and V (10 patients) disease as well as a subgroup of 12 patients with grade III disease had follow-up transesophageal echocardiographic studies (mean [+/- SD] 11.7 +/- 0.9 months, range 6 to 22). Of 30 patients undergoing follow-up transesophageal echocardiographic studies, 20 (66%) had no change in atherosclerotic severity grade. Of the remaining 10 patients, atherosclerotic severity progressed one grade in 7 and decreased in 3 with resolved mobile lesions. Of 18 patients with grade IV or V disease of the aorta who underwent a follow-up study, 11 (61%) demonstrated formation of new mobile lesions. Of 10 patients with grade V disease on initial study who underwent follow-up study, 7 (70%) demonstrated resolution of a specific previously documented mobile lesion. However, seven patients (70%) with grade V disease also demonstrated development of a new mobile lesion. Of 33 patients with grade IV or V disease, 8 (24%) died during the study period, and 1 (3%) had a clinical embolic event. The presence of severe atherosclerotic disease of the thoracic aorta as defined by transesophageal echocardiography is associated with a high mortality rate. Although the morphologic

Learning Convex Inference of Marginals

OpenAIRE

Domke, Justin

2012-01-01

Graphical models trained using maximum likelihood are a common tool for probabilistic inference of marginal distributions. However, this approach suffers difficulties when either the inference process or the model is approximate. In this paper, the inference process is first defined to be the minimization of a convex function, inspired by free energy approximations. Learning is then done directly in terms of the performance of the inference process at univariate marginal prediction. The main ...

Effects of a multimodal exercise program on the functional capacity of Parkinson's disease patients considering disease severity and gender

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Diego Orcioli-Silva

2014-03-01

Full Text Available The purpose of this study was to investigate the effects of a multimodal exercise program (MEP on the functional capacity of patients with Parkinson's disease (PD according to disease severity and gender. Fourteen patients with PD participated in the study and were distributed into groups according to 1 stage of disease and 2 gender. Functional capacity was evaluated before and after 6 months of intervention. The overall PD patient group improved their coordination and strength. Men and women improved in strength performance after exercise. Men also improved on coordination. For severity of disease, the unilateral group improved in strength, while the bilateral group improved in strength, balance, coordination and the UPDRS-functional score. In conclusion, a MEP is efficient in improving components of functional capacity in patients with PD, especially in strength. Gender may be considered in the exercise program. Individuals in the bilateral disease group appeared to benefit more from exercise.

Protein-driven inference of miRNA-disease associations

DEFF Research Database (Denmark)

Mørk, Søren; Pletscher-Frankild, Sune; Palleja, Albert

2014-01-01

MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA-disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction...

An Evidenced-Based Scale of Disease Severity following Human Challenge with Enteroxigenic Escherichia coli.

Directory of Open Access Journals (Sweden)

Chad K Porter

Full Text Available Experimental human challenge models have played a major role in enhancing our understanding of infectious diseases. Primary outcomes have typically utilized overly simplistic outcomes that fail to entirely account for complex illness syndromes. We sought to characterize clinical outcomes associated with experimental infection with enterotoxigenic Escherichia coli (ETEC and to develop a disease score.Data were obtained from prior controlled human ETEC infection studies. Correlation and univariate regression across sign and symptom severity was performed. A multiple correspondence analysis was conducted. A 3-parameter disease score with construct validity was developed in an iterative fashion, compared to standard outcome definitions and applied to prior vaccine challenge trials.Data on 264 subjects receiving seven ETEC strains at doses from 1x105 to 1x1010 cfu were used to construct a standardized dataset. The strongest observed correlation was between vomiting and nausea (r = 0.65; however, stool output was poorly correlated with subjective activity-impacting outcomes. Multiple correspondence analyses showed covariability in multiple signs and symptoms, with severity being the strongest factor corresponding across outcomes. The developed disease score performed well compared to standard outcome definitions and differentiated disease in vaccinated and unvaccinated subjects.Frequency and volumetric definitions of diarrhea severity poorly characterize ETEC disease. These data support a disease severity score accounting for stool output and other clinical signs and symptoms. Such a score could serve as the basis for better field trial outcomes and gives an additional outcome measure to help select future vaccines that warrant expanded testing in pivotal pre-licensure trials.

Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity

OpenAIRE

Lee, Elizabeth C.; Kelly, Michael R.; Ochocki, Brad M.; Akinwumi, Segun M.; Hamre, Karen E. S.; Tien, Joseph H.; Eisenberg, Marisa C.

2016-01-01

Mathematical models of cholera and waterborne disease vary widely in their structures, in terms of transmission pathways, loss of immunity, and other features. These differences may yield different predictions and parameter estimates from the same data. Given the increasing use of models to inform public health decision-making, it is important to assess distinguishability (whether models can be distinguished based on fit to data) and inference robustness (whether model inferences are robust t...

Haplotype inference in general pedigrees with two sites

Directory of Open Access Journals (Sweden)

Doan Duong D

2011-04-01

Full Text Available Abstract Background Genetic disease studies investigate relationships between changes in chromosomes and genetic diseases. Single haplotypes provide useful information for these studies but extracting single haplotypes directly by biochemical methods is expensive. A computational method to infer haplotypes from genotype data is therefore important. We investigate the problem of computing the minimum number of recombination events for general pedigrees with two sites for all members. Results We show that this NP-hard problem can be parametrically reduced to the Bipartization by Edge Removal problem and therefore can be solved by an O(2k · n2 exact algorithm, where n is the number of members and k is the number of recombination events. Conclusions Our work can therefore be useful for genetic disease studies to track down how changes in haplotypes such as recombinations relate to genetic disease.

Airway inflammation in severe chronic obstructive pulmonary disease

International Nuclear Information System (INIS)

Turato, Graziella; Zuin, Renzo; Miniati, Massimo

2002-01-01

Very few studies have been made in-patient with severe chronic obstructive pulmonary disease and some of them carried out, have demonstrated an increment in the intensity of the inflammatory answer in the space and these patients' alveolar walls. However, there are not enough studies on the inflammatory answer in the small airway and in the lung glasses, object of the present study, comparing it with patient with light (COPD) or without COPD, in spite of similar history of smoker

Plausible inference: A multi-valued logic for problem solving

Science.gov (United States)

Friedman, L.

1979-01-01

A new logic is developed which permits continuously variable strength of belief in the truth of assertions. Four inference rules result, with formal logic as a limiting case. Quantification of belief is defined. Propagation of belief to linked assertions results from dependency-based techniques of truth maintenance so that local consistency is achieved or contradiction discovered in problem solving. Rules for combining, confirming, or disconfirming beliefs are given, and several heuristics are suggested that apply to revising already formed beliefs in the light of new evidence. The strength of belief that results in such revisions based on conflicting evidence are a highly subjective phenomenon. Certain quantification rules appear to reflect an orderliness in the subjectivity. Several examples of reasoning by plausible inference are given, including a legal example and one from robot learning. Propagation of belief takes place in directions forbidden in formal logic and this results in conclusions becoming possible for a given set of assertions that are not reachable by formal logic.

APACHE II SCORING SYSTEM AND ITS MODIFICATION FOR THE ASSESSMENT OF DISEASE SEVERITY IN CHILDREN WHO UNDERWENT POLYCHEMOTHERAPY

Directory of Open Access Journals (Sweden)

А. V. Sotnikov

2014-01-01

Full Text Available Short-term disease prognosis should be considered for the appropriate treatment policy based on the assessment of disease severity in patients with acute disease. The adequate assessment of disease severity and prognosis allows the indications for transferring patients to the resuscitation and intensive care department to be defined more precisely. Disease severity of patients who underwent polychemotherapy was assessed using APACHE II scoring system.

An Acoustic Study of the Relationships among Neurologic Disease, Dysarthria Type, and Severity of Dysarthria

Science.gov (United States)

Kim, Yunjung; Kent, Raymond D.; Weismer, Gary

2011-01-01

Purpose: This study examined acoustic predictors of speech intelligibility in speakers with several types of dysarthria secondary to different diseases and conducted classification analysis solely by acoustic measures according to 3 variables (disease, speech severity, and dysarthria type). Method: Speech recordings from 107 speakers with…

A retrospective analysis of oral cholera vaccine use, disease severity and deaths during an outbreak in South Sudan.

Science.gov (United States)

Bekolo, Cavin Epie; van Loenhout, Joris Adriaan Frank; Rodriguez-Llanes, Jose Manuel; Rumunu, John; Ramadan, Otim Patrick; Guha-Sapir, Debarati

2016-09-01

To determine whether pre-emptive oral cholera vaccination reduces disease severity and mortality in people who develop cholera disease during an outbreak. The study involved a retrospective analysis of demographic and clinical data from 41 cholera treatment facilities in South Sudan on patients who developed cholera disease between 23 April and 20 July 2014 during a large outbreak, a few months after a pre-emptive oral vaccination campaign. Patients who developed severe dehydration were regarded as having a severe cholera infection. Vaccinated and unvaccinated patients were compared and multivariate logistic regression analysis was used to identify factors associated with developing severe disease or death. In total, 4115 cholera patients were treated at the 41 facilities: 1946 (47.3%) had severe disease and 62 (1.5%) deaths occurred. Multivariate analysis showed that patients who received two doses of oral cholera vaccine were 4.5-fold less likely to develop severe disease than unvaccinated patients (adjusted odds ratio, aOR: 0.22; 95% confidence interval, CI: 0.11-0.44). Moreover, those with severe cholera were significantly more likely to die than those without (aOR: 4.76; 95% CI: 2.33-9.77). Pre-emptive vaccination with two doses of oral cholera vaccine was associated with a significant reduction in the likelihood of developing severe cholera disease during an outbreak in South Sudan. Moreover, severe disease was the strongest predictor of death. Two doses of oral cholera vaccine should be used in emergencies to reduce the disease burden.

Inferring causal molecular networks: empirical assessment through a community-based effort.

Science.gov (United States)

Hill, Steven M; Heiser, Laura M; Cokelaer, Thomas; Unger, Michael; Nesser, Nicole K; Carlin, Daniel E; Zhang, Yang; Sokolov, Artem; Paull, Evan O; Wong, Chris K; Graim, Kiley; Bivol, Adrian; Wang, Haizhou; Zhu, Fan; Afsari, Bahman; Danilova, Ludmila V; Favorov, Alexander V; Lee, Wai Shing; Taylor, Dane; Hu, Chenyue W; Long, Byron L; Noren, David P; Bisberg, Alexander J; Mills, Gordon B; Gray, Joe W; Kellen, Michael; Norman, Thea; Friend, Stephen; Qutub, Amina A; Fertig, Elana J; Guan, Yuanfang; Song, Mingzhou; Stuart, Joshua M; Spellman, Paul T; Koeppl, Heinz; Stolovitzky, Gustavo; Saez-Rodriguez, Julio; Mukherjee, Sach

2016-04-01

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense.

Learning about the internal structure of categories through classification and feature inference.

Science.gov (United States)

Jee, Benjamin D; Wiley, Jennifer

2014-01-01

Previous research on category learning has found that classification tasks produce representations that are skewed toward diagnostic feature dimensions, whereas feature inference tasks lead to richer representations of within-category structure. Yet, prior studies often measure category knowledge through tasks that involve identifying only the typical features of a category. This neglects an important aspect of a category's internal structure: how typical and atypical features are distributed within a category. The present experiments tested the hypothesis that inference learning results in richer knowledge of internal category structure than classification learning. We introduced several new measures to probe learners' representations of within-category structure. Experiment 1 found that participants in the inference condition learned and used a wider range of feature dimensions than classification learners. Classification learners, however, were more sensitive to the presence of atypical features within categories. Experiment 2 provided converging evidence that classification learners were more likely to incorporate atypical features into their representations. Inference learners were less likely to encode atypical category features, even in a "partial inference" condition that focused learners' attention on the feature dimensions relevant to classification. Overall, these results are contrary to the hypothesis that inference learning produces superior knowledge of within-category structure. Although inference learning promoted representations that included a broad range of category-typical features, classification learning promoted greater sensitivity to the distribution of typical and atypical features within categories.

sick: The Spectroscopic Inference Crank

Science.gov (United States)

Casey, Andrew R.

2016-03-01

There exists an inordinate amount of spectral data in both public and private astronomical archives that remain severely under-utilized. The lack of reliable open-source tools for analyzing large volumes of spectra contributes to this situation, which is poised to worsen as large surveys successively release orders of magnitude more spectra. In this article I introduce sick, the spectroscopic inference crank, a flexible and fast Bayesian tool for inferring astrophysical parameters from spectra. sick is agnostic to the wavelength coverage, resolving power, or general data format, allowing any user to easily construct a generative model for their data, regardless of its source. sick can be used to provide a nearest-neighbor estimate of model parameters, a numerically optimized point estimate, or full Markov Chain Monte Carlo sampling of the posterior probability distributions. This generality empowers any astronomer to capitalize on the plethora of published synthetic and observed spectra, and make precise inferences for a host of astrophysical (and nuisance) quantities. Model intensities can be reliably approximated from existing grids of synthetic or observed spectra using linear multi-dimensional interpolation, or a Cannon-based model. Additional phenomena that transform the data (e.g., redshift, rotational broadening, continuum, spectral resolution) are incorporated as free parameters and can be marginalized away. Outlier pixels (e.g., cosmic rays or poorly modeled regimes) can be treated with a Gaussian mixture model, and a noise model is included to account for systematically underestimated variance. Combining these phenomena into a scalar-justified, quantitative model permits precise inferences with credible uncertainties on noisy data. I describe the common model features, the implementation details, and the default behavior, which is balanced to be suitable for most astronomical applications. Using a forward model on low-resolution, high signal

SICK: THE SPECTROSCOPIC INFERENCE CRANK

Energy Technology Data Exchange (ETDEWEB)

Casey, Andrew R., E-mail: arc@ast.cam.ac.uk [Institute of Astronomy, University of Cambridge, Madingley Road, Cambdridge, CB3 0HA (United Kingdom)

2016-03-15

There exists an inordinate amount of spectral data in both public and private astronomical archives that remain severely under-utilized. The lack of reliable open-source tools for analyzing large volumes of spectra contributes to this situation, which is poised to worsen as large surveys successively release orders of magnitude more spectra. In this article I introduce sick, the spectroscopic inference crank, a flexible and fast Bayesian tool for inferring astrophysical parameters from spectra. sick is agnostic to the wavelength coverage, resolving power, or general data format, allowing any user to easily construct a generative model for their data, regardless of its source. sick can be used to provide a nearest-neighbor estimate of model parameters, a numerically optimized point estimate, or full Markov Chain Monte Carlo sampling of the posterior probability distributions. This generality empowers any astronomer to capitalize on the plethora of published synthetic and observed spectra, and make precise inferences for a host of astrophysical (and nuisance) quantities. Model intensities can be reliably approximated from existing grids of synthetic or observed spectra using linear multi-dimensional interpolation, or a Cannon-based model. Additional phenomena that transform the data (e.g., redshift, rotational broadening, continuum, spectral resolution) are incorporated as free parameters and can be marginalized away. Outlier pixels (e.g., cosmic rays or poorly modeled regimes) can be treated with a Gaussian mixture model, and a noise model is included to account for systematically underestimated variance. Combining these phenomena into a scalar-justified, quantitative model permits precise inferences with credible uncertainties on noisy data. I describe the common model features, the implementation details, and the default behavior, which is balanced to be suitable for most astronomical applications. Using a forward model on low-resolution, high signal

SICK: THE SPECTROSCOPIC INFERENCE CRANK

International Nuclear Information System (INIS)

Casey, Andrew R.

2016-01-01

There exists an inordinate amount of spectral data in both public and private astronomical archives that remain severely under-utilized. The lack of reliable open-source tools for analyzing large volumes of spectra contributes to this situation, which is poised to worsen as large surveys successively release orders of magnitude more spectra. In this article I introduce sick, the spectroscopic inference crank, a flexible and fast Bayesian tool for inferring astrophysical parameters from spectra. sick is agnostic to the wavelength coverage, resolving power, or general data format, allowing any user to easily construct a generative model for their data, regardless of its source. sick can be used to provide a nearest-neighbor estimate of model parameters, a numerically optimized point estimate, or full Markov Chain Monte Carlo sampling of the posterior probability distributions. This generality empowers any astronomer to capitalize on the plethora of published synthetic and observed spectra, and make precise inferences for a host of astrophysical (and nuisance) quantities. Model intensities can be reliably approximated from existing grids of synthetic or observed spectra using linear multi-dimensional interpolation, or a Cannon-based model. Additional phenomena that transform the data (e.g., redshift, rotational broadening, continuum, spectral resolution) are incorporated as free parameters and can be marginalized away. Outlier pixels (e.g., cosmic rays or poorly modeled regimes) can be treated with a Gaussian mixture model, and a noise model is included to account for systematically underestimated variance. Combining these phenomena into a scalar-justified, quantitative model permits precise inferences with credible uncertainties on noisy data. I describe the common model features, the implementation details, and the default behavior, which is balanced to be suitable for most astronomical applications. Using a forward model on low-resolution, high signal

Bats as reservoirs of severe emerging infectious diseases.

Science.gov (United States)

Han, Hui-Ju; Wen, Hong-ling; Zhou, Chuan-Min; Chen, Fang-Fang; Luo, Li-Mei; Liu, Jian-wei; Yu, Xue-Jie

2015-07-02

In recent years severe infectious diseases have been constantly emerging, causing panic in the world. Now we know that many of these terrible diseases are caused by viruses originated from bats (Table 1), such as Ebola virus, Marburg, SARS coronavirus (SARS-CoV), MERS coronavirus (MERS-CoV), Nipah virus (NiV) and Hendra virus (HeV). These viruses have co-evolved with bats due to bats' special social, biological and immunological features. Although bats are not in close contact with humans, spillover of viruses from bats to intermediate animal hosts, such as horses, pigs, civets, or non-human primates, is thought to be the most likely mode to cause human infection. Humans may also become infected with viruses through aerosol by intruding into bat roosting caves or via direct contact with bats, such as catching bats or been bitten by bats. Copyright © 2015 Elsevier B.V. All rights reserved.

PIA: An Intuitive Protein Inference Engine with a Web-Based User Interface.

Science.gov (United States)

Uszkoreit, Julian; Maerkens, Alexandra; Perez-Riverol, Yasset; Meyer, Helmut E; Marcus, Katrin; Stephan, Christian; Kohlbacher, Oliver; Eisenacher, Martin

2015-07-02

Protein inference connects the peptide spectrum matches (PSMs) obtained from database search engines back to proteins, which are typically at the heart of most proteomics studies. Different search engines yield different PSMs and thus different protein lists. Analysis of results from one or multiple search engines is often hampered by different data exchange formats and lack of convenient and intuitive user interfaces. We present PIA, a flexible software suite for combining PSMs from different search engine runs and turning these into consistent results. PIA can be integrated into proteomics data analysis workflows in several ways. A user-friendly graphical user interface can be run either locally or (e.g., for larger core facilities) from a central server. For automated data processing, stand-alone tools are available. PIA implements several established protein inference algorithms and can combine results from different search engines seamlessly. On several benchmark data sets, we show that PIA can identify a larger number of proteins at the same protein FDR when compared to that using inference based on a single search engine. PIA supports the majority of established search engines and data in the mzIdentML standard format. It is implemented in Java and freely available at https://github.com/mpc-bioinformatics/pia.

Probabilistic inductive inference: a survey

OpenAIRE

Ambainis, Andris

2001-01-01

Inductive inference is a recursion-theoretic theory of learning, first developed by E. M. Gold (1967). This paper surveys developments in probabilistic inductive inference. We mainly focus on finite inference of recursive functions, since this simple paradigm has produced the most interesting (and most complex) results.

The Rendu-Osler-Weber Disease Revealed by a Refractory Hypoxemia and Severe Cerebral Fat Embolism

Directory of Open Access Journals (Sweden)

Leonel Barreto

2013-01-01

Full Text Available The Rendu-Osler-Weber disease is a genetic disease which may lead to severe hemorrhage and less frequently to severe organ dysfunction. We report the case of a 22-year-old patient with no personal medical history who was involved in a motorcycle accident and exhibited severe complications related to large arteriovenous pulmonary shunts during his ICU stay. The patient developed an unexplained severe hypoxemia which was attributed to several arteriovenous shunts of the pulmonary vasculature by a contrast study during a transesophageal echocardiographic examination. The course was subsequently complicated by a prolonged coma associated with hemiplegia which was attributed to a massive paradoxical fat embolism in the setting of an untreated femoral fracture. In addition to hemorrhagic complications which may lead to intractable shock, arteriovenous malformations associated with the Rendu-Osler-Weber disease may involve the pulmonary vasculature and result in unexpected complications, such as hypoxemia or severe cerebral fat embolism in high-risk patients.

Bayesian statistical inference

Directory of Open Access Journals (Sweden)

Bruno De Finetti

2017-04-01

Full Text Available This work was translated into English and published in the volume: Bruno De Finetti, Induction and Probability, Biblioteca di Statistica, eds. P. Monari, D. Cocchi, Clueb, Bologna, 1993.Bayesian statistical Inference is one of the last fundamental philosophical papers in which we can find the essential De Finetti's approach to the statistical inference.

Approximation and inference methods for stochastic biochemical kinetics—a tutorial review

International Nuclear Information System (INIS)

Schnoerr, David; Grima, Ramon; Sanguinetti, Guido

2017-01-01

Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important examples include gene expression and enzymatic processes in living cells. Such systems are typically modelled as chemical reaction networks whose dynamics are governed by the chemical master equation. Despite its simple structure, no analytic solutions to the chemical master equation are known for most systems. Moreover, stochastic simulations are computationally expensive, making systematic analysis and statistical inference a challenging task. Consequently, significant effort has been spent in recent decades on the development of efficient approximation and inference methods. This article gives an introduction to basic modelling concepts as well as an overview of state of the art methods. First, we motivate and introduce deterministic and stochastic methods for modelling chemical networks, and give an overview of simulation and exact solution methods. Next, we discuss several approximation methods, including the chemical Langevin equation, the system size expansion, moment closure approximations, time-scale separation approximations and hybrid methods. We discuss their various properties and review recent advances and remaining challenges for these methods. We present a comparison of several of these methods by means of a numerical case study and highlight some of their respective advantages and disadvantages. Finally, we discuss the problem of inference from experimental data in the Bayesian framework and review recent methods developed the literature. In summary, this review gives a self-contained introduction to modelling, approximations and inference methods for stochastic chemical kinetics. (topical review)

Linguistic Correlates of Asymmetric Motor Symptom Severity in Parkinson's Disease

Science.gov (United States)

Holtgraves, Thomas; McNamara, Patrick; Cappaert, Kevin; Durso, Raymond

2010-01-01

Asymmetric motor severity is common in Parkinson's Disease (PD) and provides a method for examining the neurobiologic mechanisms underlying cognitive and linguistic deficits associated with the disorder. In the present research, PD participants (N = 31) were assessed in terms of the asymmetry of their motor symptoms. Interviews with the…

Mandibulectomy for treatment of fractures associated with severe periodontal disease.

Science.gov (United States)

Carvalho, Carina Marchiori; Rahal, Sheila Canevese; Dos Reis Mesquita, Luciane; Castilho, Maíra Sales; Kano, Washington Takashi; Mamprim, Maria Jaqueline

2015-03-01

Six cases of mandibular fractures associated with severe periodontal disease that had been treated by mandibulectomy, due to intense bone loss, were evaluated retrospectively. The dogs were mainly older, small breed dogs that had suffered a traumatic event. Four dogs had a bilateral mandibulectomy and 2 a unilateral mandibulectomy.

Mandibulectomy for treatment of fractures associated with severe periodontal disease

OpenAIRE

Carvalho, Carina Marchiori; Rahal, Sheila Canevese; dos Reis Mesquita, Luciane; Castilho, Maíra Sales; Kano, Washington Takashi; Mamprim, Maria Jaqueline

2015-01-01

Six cases of mandibular fractures associated with severe periodontal disease that had been treated by mandibulectomy, due to intense bone loss, were evaluated retrospectively. The dogs were mainly older, small breed dogs that had suffered a traumatic event. Four dogs had a bilateral mandibulectomy and 2 a unilateral mandibulectomy.

Magnetic resonance imaging perfusion is associated with disease severity and activity in multiple sclerosis

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Sowa, Piotr [Oslo University Hospital, Department of Radiology and Nuclear Medicine, Oslo (Norway); University of Oslo, Institute of Clinical Medicine, Faculty of Medicine, Oslo (Norway); Owren Nygaard, Gro [Oslo University Hospital, Department of Neurology, Oslo (Norway); Bjoernerud, Atle [Intervention Center, Oslo University Hospital, Oslo (Norway); University of Oslo, Department of Physics, Oslo (Norway); Gulowsen Celius, Elisabeth [Oslo University Hospital, Department of Neurology, Oslo (Norway); University of Oslo, Institute of Health and Society, Faculty of Medicine, Oslo (Norway); Flinstad Harbo, Hanne [University of Oslo, Institute of Clinical Medicine, Faculty of Medicine, Oslo (Norway); Oslo University Hospital, Department of Neurology, Oslo (Norway); Kristiansen Beyer, Mona [Oslo University Hospital, Department of Radiology and Nuclear Medicine, Oslo (Norway); Oslo and Akershus University College of Applied Sciences, Department of Life Sciences and Health, Oslo (Norway)

2017-07-15

The utility of perfusion-weighted imaging in multiple sclerosis (MS) is not well investigated. The purpose of this study was to compare baseline normalized perfusion measures in subgroups of newly diagnosed MS patients. We wanted to test the hypothesis that this method can differentiate between groups defined according to disease severity and disease activity at 1 year follow-up. Baseline magnetic resonance imaging (MRI) including a dynamic susceptibility contrast perfusion sequence was performed on a 1.5-T scanner in 66 patients newly diagnosed with relapsing-remitting MS. From the baseline MRI, cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT) maps were generated. Normalized (n) perfusion values were calculated by dividing each perfusion parameter obtained in white matter lesions by the same parameter obtained in normal-appearing white matter. Neurological examination was performed at baseline and at follow-up approximately 1 year later to establish the multiple sclerosis severity score (MSSS) and evidence of disease activity (EDA). Baseline normalized mean transit time (nMTT) was lower in patients with MSSS >3.79 (p = 0.016), in patients with EDA (p = 0.041), and in patients with both MSSS >3.79 and EDA (p = 0.032) at 1-year follow-up. Baseline normalized cerebral blood flow and normalized cerebral blood volume did not differ between these groups. Lower baseline nMTT was associated with higher disease severity and with presence of disease activity 1 year later in newly diagnosed MS patients. Further longitudinal studies are needed to confirm whether baseline-normalized perfusion measures can differentiate between disease severity and disease activity subgroups over time. (orig.)

Magnetic resonance imaging perfusion is associated with disease severity and activity in multiple sclerosis

International Nuclear Information System (INIS)

Sowa, Piotr; Owren Nygaard, Gro; Bjoernerud, Atle; Gulowsen Celius, Elisabeth; Flinstad Harbo, Hanne; Kristiansen Beyer, Mona

2017-01-01

The utility of perfusion-weighted imaging in multiple sclerosis (MS) is not well investigated. The purpose of this study was to compare baseline normalized perfusion measures in subgroups of newly diagnosed MS patients. We wanted to test the hypothesis that this method can differentiate between groups defined according to disease severity and disease activity at 1 year follow-up. Baseline magnetic resonance imaging (MRI) including a dynamic susceptibility contrast perfusion sequence was performed on a 1.5-T scanner in 66 patients newly diagnosed with relapsing-remitting MS. From the baseline MRI, cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT) maps were generated. Normalized (n) perfusion values were calculated by dividing each perfusion parameter obtained in white matter lesions by the same parameter obtained in normal-appearing white matter. Neurological examination was performed at baseline and at follow-up approximately 1 year later to establish the multiple sclerosis severity score (MSSS) and evidence of disease activity (EDA). Baseline normalized mean transit time (nMTT) was lower in patients with MSSS >3.79 (p = 0.016), in patients with EDA (p = 0.041), and in patients with both MSSS >3.79 and EDA (p = 0.032) at 1-year follow-up. Baseline normalized cerebral blood flow and normalized cerebral blood volume did not differ between these groups. Lower baseline nMTT was associated with higher disease severity and with presence of disease activity 1 year later in newly diagnosed MS patients. Further longitudinal studies are needed to confirm whether baseline-normalized perfusion measures can differentiate between disease severity and disease activity subgroups over time. (orig.)

Postural instability and gait are associated with severity and prognosis of Parkinson disease.

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van der Heeden, Jorine F; Marinus, Johan; Martinez-Martin, Pablo; Rodriguez-Blazquez, Carmen; Geraedts, Victor J; van Hilten, Jacobus J

2016-06-14

Differences in disease progression in Parkinson disease (PD) have variously been attributed to 2 motor subtypes: tremor-dominant (TD) and postural instability and gait difficulty (PIGD)-dominant (PG). We evaluated the role of these phenotypic variants in severity and progression of nondopaminergic manifestations of PD and motor complications. Linear mixed models were applied to data from the Profiling Parkinson's disease (PROPARK) cohort (n = 396) to evaluate the effect of motor subtype on severity and progression of cognitive impairment (Scales for Outcomes in Parkinson's disease [SCOPA]-Cognition [SCOPA-COG]), depression (Hospital Anxiety and Depression Scale [HADS]), autonomic dysfunction (SCOPA-Autonomic [SCOPA-AUT]), excessive daytime sleepiness, psychotic symptoms (SCOPA-Psychiatric Complications [SCOPA-PC]), and motor complications. In first analyses, subtype as determined by the commonly used ratio of tremor over PIGD score was entered as a factor, whereas in second analyses separate tremor and PIGD scores were used. Results were verified in an independent cohort (Estudio Longitudinal de Pacientes con Enfermedad de Parkinson [ELEP]; n = 365). The first analyses showed that PG subtype patients had worse SCOPA-COG, HADS, SCOPA-AUT, SCOPA-PC, and motor complications scores, and exhibited faster progression on the SCOPA-COG. The second analyses showed that only higher PIGD scores were associated with worse scores for these variables; tremor score was not associated with severity or progression of any symptom. Analyses in the independent cohort yielded similar results. In contrast to PIGD, which consistently was associated with greater severity of nondopaminergic symptoms, there was no evidence of a benign effect of tremor. Our findings do not support the use of the TD subtype as a prognostic trait in PD. The results showed that severity of PIGD is a useful indicator of severity and prognosis in PD by itself. © 2016 American Academy of Neurology.

Relationship of Inflammatory Biomarkers with Severity of Peripheral Arterial Disease

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Kimihiro Igari

2016-01-01

Full Text Available Objective. The pentraxin family, including high-sensitivity C-reactive protein (hs-CRP, serum amyloid P (SAP, and pentraxin 3 (PTX3, has been identified as playing a key role in inflammatory reactions such as in atherosclerosis and cardiovascular disease. In this study, we examined the relationship between peripheral arterial disease (PAD and serum levels of pentraxins. Methods. This study was undertaken via a retrospective review of PAD patients with surgical intervention for lesions of the common femoral artery. We evaluated the preoperative patient conditions, hemodynamic status, such as ankle brachial index (ABI, and clinical ischemic conditions according to Rutherford classification. Preoperatively, we collected blood samples for determining the serum levels of hs-CRP, SAP, and PTX3. Results. Twelve PAD patients with common femoral arterial lesions were treated and examined. The hemodynamic severity of PAD was not negatively correlated with hs-CRP, SAP, or PTX3. The clinical severity evaluated by Rutherford classification was significantly positively correlated with the serum level of PTX3 (p=0.019. Conclusion. We demonstrated that PTX3 might be a better marker of PAD than hs-CRP and SAP. Furthermore, PTX3 might be a prognostic marker to evaluate the severity of PAD.

Severe pandemic 2009 H1N1 influenza disease due to pathogenic immune complexes

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Monsalvo, Ana Clara; Batalle, Juan P.; Lopez, M. Florencia; Krause, Jens C.; Klemenc, Jennifer; Zea, Johanna; Maskin, Bernardo; Bugna, Jimena; Rubinstein, Carlos; Aguilar, Leandro; Dalurzo, Liliana; Libster, Romina; Savy, Vilma; Baumeister, Elsa; Aguilar, Liliana; Cabral, Graciela; Font, Julia; Solari, Liliana; Weller, Kevin P.; Johnson, Joyce; Echavarria, Marcela; Edwards, Kathryn M.; Chappell, James D.; Crowe, James E.; Williams, John V.; Melendi, Guillermina A.; Polack, Fernando P.

2010-01-01

Pandemic influenza viruses often cause severe disease in middle-aged adults without preexistent co-morbidities. The mechanism of illness associated with severe disease in this age group is not well understood1–10. Here, we demonstrate preexisting serum antibody that cross-reacts with, but does not protect against 2009 H1N1 influenza virus in middle-aged adults. Non-protective antibody is associated with immune complex(IC)-mediated disease after infection. High titers of serum antibody of low avidity for H1-2009 antigen, and low avidity pulmonary ICs against the same protein were detected in severely ill patients. Moreover, C4d deposition - a sensitive marker of complement activation mediated by ICs- was present in lung sections of fatal cases. Archived lung sections from adults with confirmed fatal influenza 1957 H2N2 infection revealed a similar mechanism of illness. These observations provide a novel biological mechanism for the unusual age distribution of severe cases during influenza pandemics. PMID:21131958

Is there a hierarchy of social inferences? The likelihood and speed of inferring intentionality, mind, and personality.

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Malle, Bertram F; Holbrook, Jess

2012-04-01

People interpret behavior by making inferences about agents' intentionality, mind, and personality. Past research studied such inferences 1 at a time; in real life, people make these inferences simultaneously. The present studies therefore examined whether 4 major inferences (intentionality, desire, belief, and personality), elicited simultaneously in response to an observed behavior, might be ordered in a hierarchy of likelihood and speed. To achieve generalizability, the studies included a wide range of stimulus behaviors, presented them verbally and as dynamic videos, and assessed inferences both in a retrieval paradigm (measuring the likelihood and speed of accessing inferences immediately after they were made) and in an online processing paradigm (measuring the speed of forming inferences during behavior observation). Five studies provide evidence for a hierarchy of social inferences-from intentionality and desire to belief to personality-that is stable across verbal and visual presentations and that parallels the order found in developmental and primate research. (c) 2012 APA, all rights reserved.

A linear programming model for protein inference problem in shotgun proteomics.

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Huang, Ting; He, Zengyou

2012-11-15

Assembling peptides identified from tandem mass spectra into a list of proteins, referred to as protein inference, is an important issue in shotgun proteomics. The objective of protein inference is to find a subset of proteins that are truly present in the sample. Although many methods have been proposed for protein inference, several issues such as peptide degeneracy still remain unsolved. In this article, we present a linear programming model for protein inference. In this model, we use a transformation of the joint probability that each peptide/protein pair is present in the sample as the variable. Then, both the peptide probability and protein probability can be expressed as a formula in terms of the linear combination of these variables. Based on this simple fact, the protein inference problem is formulated as an optimization problem: minimize the number of proteins with non-zero probabilities under the constraint that the difference between the calculated peptide probability and the peptide probability generated from peptide identification algorithms should be less than some threshold. This model addresses the peptide degeneracy issue by forcing some joint probability variables involving degenerate peptides to be zero in a rigorous manner. The corresponding inference algorithm is named as ProteinLP. We test the performance of ProteinLP on six datasets. Experimental results show that our method is competitive with the state-of-the-art protein inference algorithms. The source code of our algorithm is available at: https://sourceforge.net/projects/prolp/. zyhe@dlut.edu.cn. Supplementary data are available at Bioinformatics Online.

The airway microbiome in patients with severe asthma: Associations with disease features and severity.

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Huang, Yvonne J; Nariya, Snehal; Harris, Jeffrey M; Lynch, Susan V; Choy, David F; Arron, Joseph R; Boushey, Homer

2015-10-01

Asthma is heterogeneous, and airway dysbiosis is associated with clinical features in patients with mild-to-moderate asthma. Whether similar relationships exist among patients with severe asthma is unknown. We sought to evaluate relationships between the bronchial microbiome and features of severe asthma. Bronchial brushings from 40 participants in the Bronchoscopic Exploratory Research Study of Biomarkers in Corticosteroid-refractory Asthma (BOBCAT) study were evaluated by using 16S ribosomal RNA-based methods. Relationships to clinical and inflammatory features were analyzed among microbiome-profiled subjects. Secondarily, bacterial compositional profiles were compared between patients with severe asthma and previously studied healthy control subjects (n = 7) and patients with mild-to-moderate asthma (n = 41). In patients with severe asthma, bronchial bacterial composition was associated with several disease-related features, including body mass index (P PERMANOVA), changes in Asthma Control Questionnaire (ACQ) scores (P < .01), sputum total leukocyte values (P = .06), and bronchial biopsy eosinophil values (per square millimeter, P = .07). Bacterial communities associated with worsening ACQ scores and sputum total leukocyte values (predominantly Proteobacteria) differed markedly from those associated with body mass index (Bacteroidetes/Firmicutes). In contrast, improving/stable ACQ scores and bronchial epithelial gene expression of FK506 binding protein (FKBP5), an indicator of steroid responsiveness, correlated with Actinobacteria. Mostly negative correlations were observed between biopsy eosinophil values and Proteobacteria. No taxa were associated with a TH2-related epithelial gene expression signature, but expression of TH17-related genes was associated with Proteobacteria. Patients with severe asthma compared with healthy control subjects or patients with mild-to-moderate asthma were significantly enriched in Actinobacteria, although the largest differences

Inferring time derivatives including cell growth rates using Gaussian processes

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Swain, Peter S.; Stevenson, Keiran; Leary, Allen; Montano-Gutierrez, Luis F.; Clark, Ivan B. N.; Vogel, Jackie; Pilizota, Teuta

2016-12-01

Often the time derivative of a measured variable is of as much interest as the variable itself. For a growing population of biological cells, for example, the population's growth rate is typically more important than its size. Here we introduce a non-parametric method to infer first and second time derivatives as a function of time from time-series data. Our approach is based on Gaussian processes and applies to a wide range of data. In tests, the method is at least as accurate as others, but has several advantages: it estimates errors both in the inference and in any summary statistics, such as lag times, and allows interpolation with the corresponding error estimation. As illustrations, we infer growth rates of microbial cells, the rate of assembly of an amyloid fibril and both the speed and acceleration of two separating spindle pole bodies. Our algorithm should thus be broadly applicable.

Oxidative conditions prevail in severe IUGR with vascular disease and Doppler anomalies.

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Maisonneuve, Emeline; Delvin, Edgard; Edgard, Annie; Morin, Lucie; Dubé, Johanne; Boucoiran, Isabelle; Moutquin, Jean-Marie; Fouron, Jean-Claude; Klam, Stephanie; Levy, Emile; Leduc, Line

2015-08-01

Intrauterine growth restriction (IUGR) and prenatal exposure to oxidative stress are thought to lead to increased risks of cardiovascular disease later in life. The objective of the present study was to document whether cord blood oxidative stress biomarkers vary with the severity of IUGR and of vascular disease in the twin pregnancy model in which both fetuses share the same maternal environment. This prospective cohort study involved dichorionic twin pairs, with one co-twin with IUGR. Oxidative stress biomarkers were measured in venous cord blood samples from each neonate of 32 twin pairs, and compared, according to severity of IUGR (IUGR <5th percentile), Doppler anomalies of the umbilical artery and early onset IUGR (in the second trimester) of the growth restricted twin. Oxidized Low-Density Lipoproteins (oxLDL) and Malondialdehyde (MDA) concentrations were increased proportionally in cases of severe IUGR. OxLDL concentrations were also increased in cases of IUGR with Doppler anomaly. Our data indicate that severe IUGR, is related to a derangement in redox balance, illustrated by increased venous cord blood oxidative stress biomarkers concentrations. Severe IUGR and IUGR with abnormal Doppler can be translated into conditions with intense oxidative stress.

INFERENCE BUILDING BLOCKS

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2018-02-15

expressed a variety of inference techniques on discrete and continuous distributions: exact inference, importance sampling, Metropolis-Hastings (MH...without redoing any math or rewriting any code. And although our main goal is composable reuse, our performance is also good because we can use...control paths. • The Hakaru language can express mixtures of discrete and continuous distributions, but the current disintegration transformation

Practical Bayesian Inference

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Bailer-Jones, Coryn A. L.

2017-04-01

Preface; 1. Probability basics; 2. Estimation and uncertainty; 3. Statistical models and inference; 4. Linear models, least squares, and maximum likelihood; 5. Parameter estimation: single parameter; 6. Parameter estimation: multiple parameters; 7. Approximating distributions; 8. Monte Carlo methods for inference; 9. Parameter estimation: Markov chain Monte Carlo; 10. Frequentist hypothesis testing; 11. Model comparison; 12. Dealing with more complicated problems; References; Index.

Approximate Inference and Deep Generative Models

CERN Multimedia

CERN. Geneva

2018-01-01

Advances in deep generative models are at the forefront of deep learning research because of the promise they offer for allowing data-efficient learning, and for model-based reinforcement learning. In this talk I'll review a few standard methods for approximate inference and introduce modern approximations which allow for efficient large-scale training of a wide variety of generative models. Finally, I'll demonstrate several important application of these models to density estimation, missing data imputation, data compression and planning.

Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data.

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Narimani, Zahra; Beigy, Hamid; Ahmad, Ashar; Masoudi-Nejad, Ali; Fröhlich, Holger

2017-01-01

Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell. Causal network structure inference has been approached using different methods in the past. Most causal network inference techniques, such as Dynamic Bayesian Networks and ordinary differential equations, are limited by their computational complexity and thus make large scale inference infeasible. This is specifically true if a Bayesian framework is applied in order to deal with the unavoidable uncertainty about the correct model. We devise a novel Bayesian network reverse engineering approach using ordinary differential equations with the ability to include non-linearity. Besides modeling arbitrary, possibly combinatorial and time dependent perturbations with unknown targets, one of our main contributions is the use of Expectation Propagation, an algorithm for approximate Bayesian inference over large scale network structures in short computation time. We further explore the possibility of integrating prior knowledge into network inference. We evaluate the proposed model on DREAM4 and DREAM8 data and find it competitive against several state-of-the-art existing network inference methods.

The compatibility heuristic in non-categorical hypothetical reasoning: inferences between conditionals and disjunctions.

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Espino, Orlando; Byrne, Ruth M J

2013-11-01

A new theory explains how people make hypothetical inferences from a premise consistent with several alternatives to a conclusion consistent with several alternatives. The key proposal is that people rely on a heuristic that identifies compatible possibilities. It is tested in 7 experiments that examine inferences between conditionals and disjunctions. Participants accepted inferences between conditionals and inclusive disjunctions when a compatible possibility was immediately available, in their binary judgments that a conclusion followed or not (Experiment 1a) and ternary judgments that included it was not possible to know (Experiment 1b). The compatibility effect was amplified when compatible possibilities were more readily available, e.g., for 'A only if B' conditionals (Experiment 2). It was eliminated when compatible possibilities were not available, e.g., for 'if and only if A B' bi-conditionals and exclusive disjunctions (Experiment 3). The compatibility heuristic occurs even for inferences based on implicit negation e.g., 'A or B, therefore if C D' (Experiment 4), and between universals 'All A's are B's' and disjunctions (Experiment 5a) and universals and conditionals (Experiment 5b). The implications of the results for alternative theories of the cognitive processes underlying hypothetical deductions are discussed. Copyright © 2013. Published by Elsevier Inc.

Application of a uniform anatomic grading system to measure disease severity in eight emergency general surgical illnesses.

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Crandall, Marie L; Agarwal, Suresh; Muskat, Peter; Ross, Steven; Savage, Stephanie; Schuster, Kevin; Tominaga, Gail T; Shafi, Shahid

2014-11-01

Emergent general surgical diseases encompass a broad spectrum of anatomy and pathophysiology, creating challenges for outcomes assessment, research, and surgical training. The goal of this study was to measure anatomic disease severity for eight emergent general surgical diseases using the uniform grading system of the American Association for the Surgery of Trauma (AAST). The Committee on Patient Assessment and Outcomes of AAST applied the previously developed uniform grading system to eight emergent general surgical diseases using a consensus of experts. It was then reviewed and approved by the Board of Managers of AAST. Severity grades for eight commonly encountered emergent general surgical conditions were created: breast abscess, esophageal perforation, infectious colitis, pelvic inflammatory disease, perirectal abscess, pleural space infections, soft tissue infections, and surgical site infections. The range of grades from I through V, reflect progression from mild disease, limited to within the organ itself, to widespread severe disease. This article provides a uniform grading system for measuring anatomic severity of eight emergent general surgical diseases. Consistent adoption of these grades could improve standardization for quality assurance, outcomes research, and surgical training.

The disease prevalence and severity of Cercospora leaf spot in sugar beet cultivations in Kayseri

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Hacer Handan ALTINOK

2012-12-01

Full Text Available Cercospora leaf spot disease (Cercospora beticola Sacc., is one of the most economically important fungal diseases in sugar beet growing. Under appropriate climatic conditions, the disease can reach epidemic levels. Although some fungicides exist for disease control, resistance development by pathogen against fungicides is creating difficulties. Besides, use of resistant varieties which is considered as the most efficient and environment-friendly method is adversely affected by pathogen’s ability to exhibit high genetic variations and varying resistance levels against different races of pathogen restricts the success of resistance breeding studies. In order to reveal status of this disease in Kayseri province, surveys were conducted in 2010 and 2011 in sugar beet growing areas and disease prevalence and severity were determined. Approximately, 1500 da area in 90 fields were examined and about 700 da of this area found as infected with Cercospora leaf spot disease in both years of the survey. Highest disease prevalence and severity were found as 80 % and 45 %, respectively, in Sarıoğlan district, which is followed by central district, Develi and Bünyan. Among surveyed districts, lowest prevalence and severity were detected as approx. 65 % and 35 %, respectively, in Yeşilhisar.

Prevalence of celiac disease in patients with severe food allergy.

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Pillon, R; Ziberna, F; Badina, L; Ventura, A; Longo, G; Quaglia, S; De Leo, L; Vatta, S; Martelossi, S; Patano, G; Not, T; Berti, I

2015-10-01

The association between food allergy and celiac disease (CD) is still to be clarified. We screened for CD 319 patients with severe food allergy (IgE > 85 kU/l against food proteins and a history of severe allergic reactions) who underwent specific food oral immunotherapy (OIT), together with 128 children with mild allergy who recovered without OIT, and compared the prevalence data with our historical data regarding healthy schoolchildren. Sixteen patients (5%) with severe allergy and one (0.8%) with mild allergy tested positive for both genetic and serological CD markers, while the prevalence among the schoolchildren was 1%. Intestinal biopsies were obtained in 13/16 patients with severe allergy and in the one with mild allergy, confirming the diagnosis of CD. Sufferers from severe food allergy seem to be at a fivefold increased risk of CD. Our findings suggest that routine screening for CD should be recommended in patients with severe food allergy. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Bayesianism and inference to the best explanation

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Valeriano IRANZO

2008-01-01

Full Text Available Bayesianism and Inference to the best explanation (IBE are two different models of inference. Recently there has been some debate about the possibility of “bayesianizing” IBE. Firstly I explore several alternatives to include explanatory considerations in Bayes’s Theorem. Then I distinguish two different interpretations of prior probabilities: “IBE-Bayesianism” (IBE-Bay and “frequentist-Bayesianism” (Freq-Bay. After detailing the content of the latter, I propose a rule for assessing the priors. I also argue that Freq-Bay: (i endorses a role for explanatory value in the assessment of scientific hypotheses; (ii avoids a purely subjectivist reading of prior probabilities; and (iii fits better than IBE-Bayesianism with two basic facts about science, i.e., the prominent role played by empirical testing and the existence of many scientific theories in the past that failed to fulfil their promises and were subsequently abandoned.

Benchmarking Relatedness Inference Methods with Genome-Wide Data from Thousands of Relatives.

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Ramstetter, Monica D; Dyer, Thomas D; Lehman, Donna M; Curran, Joanne E; Duggirala, Ravindranath; Blangero, John; Mezey, Jason G; Williams, Amy L

2017-09-01

Inferring relatedness from genomic data is an essential component of genetic association studies, population genetics, forensics, and genealogy. While numerous methods exist for inferring relatedness, thorough evaluation of these approaches in real data has been lacking. Here, we report an assessment of 12 state-of-the-art pairwise relatedness inference methods using a data set with 2485 individuals contained in several large pedigrees that span up to six generations. We find that all methods have high accuracy (92-99%) when detecting first- and second-degree relationships, but their accuracy dwindles to 76% of relative pairs. Overall, the most accurate methods are Estimation of Recent Shared Ancestry (ERSA) and approaches that compute total IBD sharing using the output from GERMLINE and Refined IBD to infer relatedness. Combining information from the most accurate methods provides little accuracy improvement, indicating that novel approaches, such as new methods that leverage relatedness signals from multiple samples, are needed to achieve a sizeable jump in performance. Copyright © 2017 Ramstetter et al.

Severity of coronary artery disease in obese patients undergoing coronary angiography

International Nuclear Information System (INIS)

Javed, A.; Ali, J.; Kayani, A.M.

2012-01-01

Objective: To assess the relationship of severity of coronary artery disease with obesity in patients undergoing coronary angiography. Design: Cross sectional study. Place and Duration of Study: Armed Forces Institute of Cardiology - National Institute of Heart Diseases (AFIC-NIHD), 1st February 2010 to 31st August 2010 Patients and Methods: The study population included 468 patients undergoing coronary angiography. Obesity was classified according to the BMI using the National Institutes of Health (NIH) criteria as normal (BMI 21-24 kg/m2), overweight (BMI 25-29 kg/m2), obesity class I (BMI 30-34 kg/m2), obesity class II (BMI 35 to 39 kg/m2 and obesity class III (BMI 40 or above kg/m2). Coronary angiography data were obtained from the Siemens Queries software system, which maintains the database including detailed angiographic findings of all patients at this institution. Significant lesions were defined as those with >70% diameter narrowing of coronary arteries (>50% for the left main coronary artery). We attempted to quantify the 'severity of CAD' by ascertaining the prevalence of High-Risk Coronary Anatomy (HRCA). Results: Insignificant difference was observed in traditional risk factors i.e. age, diabetes mellitus and smoking except hypertension and gender. Statistically significantly low prevalence of HRCA was encountered in the obese group (57.7%) as compared to normal/overweight group (75.8%) (p < 0.05). Conclusion: We conclude that obesity is associated with less severe coronary artery disease. (author)

[Severe Yellow fever vaccine-associated disease: a case report and current overview].

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Slesak, Günther; Gabriel, Martin; Domingo, Cristina; Schäfer, Johannes

2017-08-01

History and physical examination  A 56-year-old man developed high fever with severe headaches, fatigue, impaired concentration skills, and an exanthema 5 days after a yellow fever (YF) vaccination. Laboratory tests  Liver enzymes and YF antibody titers were remarkably elevated. YF vaccine virus was detected in urine by PCR. Diagnosis and therapy  Initially, severe YF vaccine-associated visceral disease was suspected and treated symptomatically. Clinical Course  His fever ceased after 10 days in total, no organ failure developed. However, postencephalitic symptoms persisted with fatigue and impaired concentration, memory, and reading skills and partly incapability to work for over 3 months. A diagnosis was made of suspected YF vaccine-associated neurotropic disease. Conclusion  Severe vaccine-derived adverse effects need to be considered in the indication process for YF vaccination. © Georg Thieme Verlag KG Stuttgart · New York.

Logical inference and evaluation

International Nuclear Information System (INIS)

Perey, F.G.

1981-01-01

Most methodologies of evaluation currently used are based upon the theory of statistical inference. It is generally perceived that this theory is not capable of dealing satisfactorily with what are called systematic errors. Theories of logical inference should be capable of treating all of the information available, including that not involving frequency data. A theory of logical inference is presented as an extension of deductive logic via the concept of plausibility and the application of group theory. Some conclusions, based upon the application of this theory to evaluation of data, are also given

The association between compliance with recommended follow-up and glaucomatous disease severity in a county hospital population.

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Ung, Cindy; Murakami, Yohko; Zhang, Elisa; Alfaro, Tatyana; Zhang, Monica; Seider, Michael I; Singh, Kuldev; Lin, Shan C

2013-08-01

To assess the association between insufficient follow-up and clinical parameters such as disease severity and medication use among glaucoma patients at a metropolitan county hospital. Cross-sectional study. Two-hundred and six patients with established glaucoma were recruited from San Francisco General Hospital. Subjects were classified based on compliance with recommended follow-up examination intervals over the year preceding commencement of the study, as determined by patient medical records. Glaucoma severity was determined based on the American Academy of Ophthalmology Preferred Practice Patterns guidelines. Multivariate logistic regression analysis was used to assess the relationship between adherence with follow-up visits and disease severity. After adjustment for the impact of potential confounding variables, subjects with severe glaucomatous disease were found to have been less adherent to their recommended follow-up than those patients with mild or moderate glaucomatous disease (adjusted OR 1.89, 95% CI 1.21-2.94; P = .01). Subjects who were on glaucoma medications were found to be less adherent to follow-up recommendations (adjusted OR 3.29, 95% CI 1.41-7.65, P = .01). Subjects with poor follow-up adherence were significantly more likely to have severe glaucomatous disease, suggesting that poor follow-up may contribute to disease worsening or, alternatively, those with more severe disease are less inclined to follow up at appropriate intervals. Published by Elsevier Inc.

Inferring network structure from cascades

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Ghonge, Sushrut; Vural, Dervis Can

2017-07-01

Many physical, biological, and social phenomena can be described by cascades taking place on a network. Often, the activity can be empirically observed, but not the underlying network of interactions. In this paper we offer three topological methods to infer the structure of any directed network given a set of cascade arrival times. Our formulas hold for a very general class of models where the activation probability of a node is a generic function of its degree and the number of its active neighbors. We report high success rates for synthetic and real networks, for several different cascade models.

The Role of Celiac Disease in Severity of Liver Disorders and Effect of a Gluten Free Diet on Diseases Improvement

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Rostami-Nejad, Mohammad; Haldane, Thea; AlDulaimi, David; Alavian, Seyed Moayed; Zali, Mohammad Reza; Rostami, Kamran

2013-01-01

Context Celiac disease (CD) is defined as a permanent intolerance to ingested gluten. The intolerance to gluten results in immune-mediated damage of small intestine mucosa manifested by villous atrophy and crypt hyperplasia. These abnormalities resolve with initiationa gluten-free diet. Evidence Acquisition PubMed, Ovid, and Google were searched for full text articles published between 1963 and 2012. The associated keywords were used, and papers described particularly the impact of celiac disease on severity of liver disorder were identified. Results Recently evidence has emerged revealingthat celiac disease not only is associated with small intestine abnormalities and malabsorption, but is also a multisystem disorder affecting other systems outside gastrointestinal tract, including musculo-skeletal, cardiovascular and nervous systems. Some correlations have been assumed between celiac and liver diseases. In particular, celiac disease is associated with changes in liver biochemistry and linked to alter the prognosis of other disorders. This review will concentrate on the effect of celiac disease and gluten-free diets on the severity of liver disorders. Conclusions Although GFD effect on the progression of CD associated liver diseases is not well defined, it seems that GFD improves liver function tests in patients with a hypertransaminasemia. PMID:24348636

Amyloid Load in Fat Tissue Reflects Disease Severity and Predicts Survival in Amyloidosis

NARCIS (Netherlands)

Van Gameren, Ingrid I.; Hazenberg, Bouke P. C.; Bijzet, Johan; Haagsma, Elizabeth B.; Vellenga, Edo; Posthumus, Marcel D.; Jager, Pieter L.; Van Rijswijk, Martin H.

Objective. The severity of systemic amyloidosis is thought to be related to the extent of amyloid deposition. We studied whether amyloid load in fat tissue reflects disease severity and predicts survival. Methods. We studied all consecutive patients with systemic amyloidosis seen between January

Growth hormone and insulin-like growth factor 1 affect the severity of Graves' disease.

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Di Cerbo, Alfredo; Pezzuto, Federica; Di Cerbo, Alessandro

2017-01-01

Graves' disease, the most common form of hyperthyroidism in iodine-replete countries, is associated with the presence of immunoglobulins G (IgGs) that are responsible for thyroid growth and hyperfunction. In this article, we report the unusual case of a patient with acromegaly and a severe form of Graves' disease. Here, we address the issue concerning the role of growth hormone (GH) and insulin-like growth factor 1 (IGF1) in influencing thyroid function. Severity of Graves' disease is exacerbated by coexistent acromegaly and both activity indexes and symptoms and signs of Graves' disease improve after the surgical remission of acromegaly. We also discuss by which signaling pathways GH and IGF1 may play an integrating role in regulating the function of the immune system in Graves' disease and synergize the stimulatory activity of Graves' IgGs. Clinical observations have demonstrated an increased prevalence of euthyroid and hyperthyroid goiters in patients with acromegaly.The coexistence of acromegaly and Graves' disease is a very unusual event, the prevalence being Graves' disease associated with acromegaly and show that surgical remission of acromegaly leads to a better control of symptoms of Graves' disease.

The confounding effect of population structure on bayesian skyline plot inferences of demographic history

DEFF Research Database (Denmark)

Heller, Rasmus; Chikhi, Lounes; Siegismund, Hans

2013-01-01

Many coalescent-based methods aiming to infer the demographic history of populations assume a single, isolated and panmictic population (i.e. a Wright-Fisher model). While this assumption may be reasonable under many conditions, several recent studies have shown that the results can be misleading...... when it is violated. Among the most widely applied demographic inference methods are Bayesian skyline plots (BSPs), which are used across a range of biological fields. Violations of the panmixia assumption are to be expected in many biological systems, but the consequences for skyline plot inferences...... the best scheme for inferring demographic change over a typical time scale. Analyses of data from a structured African buffalo population demonstrate how BSP results can be strengthened by simulations. We recommend that sample selection should be carefully considered in relation to population structure...

A Hierarchical Poisson Log-Normal Model for Network Inference from RNA Sequencing Data

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Gallopin, Mélina; Rau, Andrea; Jaffrézic, Florence

2013-01-01

Gene network inference from transcriptomic data is an important methodological challenge and a key aspect of systems biology. Although several methods have been proposed to infer networks from microarray data, there is a need for inference methods able to model RNA-seq data, which are count-based and highly variable. In this work we propose a hierarchical Poisson log-normal model with a Lasso penalty to infer gene networks from RNA-seq data; this model has the advantage of directly modelling discrete data and accounting for inter-sample variance larger than the sample mean. Using real microRNA-seq data from breast cancer tumors and simulations, we compare this method to a regularized Gaussian graphical model on log-transformed data, and a Poisson log-linear graphical model with a Lasso penalty on power-transformed data. For data simulated with large inter-sample dispersion, the proposed model performs better than the other methods in terms of sensitivity, specificity and area under the ROC curve. These results show the necessity of methods specifically designed for gene network inference from RNA-seq data. PMID:24147011

A hospital-based survey of patients with severe valvular heart disease in China.

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Hu, Po; Liu, Xian-Bao; Liang, Jie; Zhu, Qi-Feng; Pu, Chao-Xia; Tang, Meng-Yao; Wang, Jian-An

2017-03-15

Due to increasing aging, the epidemiology of VHD may have changed in China. This study aimed to provide contemporary information on the prevalence, distribution patterns, and etiology of severe VHD in China. This was a retrospective survey at Second Affiliated Hospital of Zhejiang University, which included all consecutive patients between 2010 and 2015. In all, 139,496 patients were enrolled. Among severe valve diseases, MR was the most frequent (n=946, 0.68%) followed by MS (n=524, 0.38%), AS (n=392, 0.28%), and AR (n=371, 0.27%). Severe MR and AS prevalence rates increased strikingly with age. Rheumatic heart disease had an prevalence of 1.56% (n=2179), and remained one of the most common causes of severe VHD in patients younger than 65years old (99.5% of MS with rheumatic; 27.6% of MR with rheumatic; 25.7% of AS with rheumatic; 31.6% of AR with rheumatic). Aortic valve calcification was the predominant AS etiology, and its prevalence greatly increased with age. In severe AR, rheumatic fever was the most common etiology in patients below 65; in those above 65, etiology was mostly degenerative. In severe primary MR, mitral valve prolapse was the most common cause. Prevalence of secondary MR increased with age, from 16.4% in 18-44years old to 51.7% in individuals ≥75. Severe valvular diseases are very common; rheumatic fever and degenerative valvular changes remain predominant causes in patients below 65 and older ones, respectively. Young adults present mainly with primary MR, while secondary MR is more common in elderly ones. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Non-linear increase of respiratory diseases and their costs under severe air pollution.

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Shen, Ying; Wu, Yiyun; Chen, Guangdi; Van Grinsven, Hans J M; Wang, Xiaofeng; Gu, Baojing; Lou, Xiaoming

2017-05-01

China is experiencing severe and persistent air pollution, with concentrations of fine particulate matters (PM 2.5 ) reaching unprecedentedly high levels in many cities. Quantifying the detrimental effects on health and their costs derived from high PM 2.5 levels is crucial because of the unsolved challenges to mitigate air pollution in the following decades. Using the daily monitoring data on PM 2.5 concentrations and clinic visits, we found a non-linear increase of respiratory diseases, but not for other diseases (e.g., digestive diseases) under severe air pollution. We found an increase of respiratory diseases by 1% for each 10 μg m -3 increase in PM 2.5 when the annual average daily PM 2.5 concentration was less than 50 μg m -3 ; while this ratio was doubled (around 2%) with the daily PM 2.5 concentration larger than 50 μg m -3 . Under severe air pollution (PM 2.5 concentration >150 μg m -3 ), the respiratory diseases increased by over 50% compared to that in clean days. Children are more sensitive to the severe air pollution. The increase of clinic visits, especially for adults, was observed mainly in bigger (>500 beds) hospitals. Re-allocating medical resources (e.g., doctors) from big hospitals to community hospitals can benefit the respiratory patients due to air pollution. The total medical cost of clinic visits of respiratory diseases derived from PM 2.5 pollution was estimated at 17.2-57.0 billion Yuan in 2014 in China, accounting for 0.5-1.6% of national total health expenditure. Because these medical costs only represent a small part of total health cost derived from air pollution, the reduction of associated health costs would be an important co-benefit of implementation of air pollution preventive strategies. Copyright © 2017 Elsevier Ltd. All rights reserved.

Foetal haemoglobin and disease severity in sickle cell anaemia patients in Kampala, Uganda

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Mpalampa Lena

2012-09-01

Full Text Available Abstract Background Sickle cell anaemia (SCA is a major chronic health problem in Uganda. In patients with SCA, the level of foetal haemoglobin (HbF has been found to be important in influencing the clinical course of the disease. Thus populations with high levels of HbF like those in Saudi Arabia have been described as having a milder clinical course with fewer complications as compared to populations with lower levels. Disease modifying drugs can increase the Hb F levels and modify the presentation of SCA. Methods This was a cross sectional study in which we determined foetal haemoglobin levels and examined the relationship between HbF levels and disease severity in SCA patients in Mulago Hospital, Kampala, Uganda. We consecutively enrolled 216 children aged 1 year to 18 years with SCA attending the Sickle Cell Clinic at Mulago Hospital whose guardians had given consent. The history included age at onset of initial symptoms and diagnosis, number of hospitalisations and blood transfusions and other complications of SCA (cardiovascular accidents, avascular hip necrosis and priapism. A detailed physical examination was performed to assess the current state and help describe the disease severity for each patient. Blood samples were drawn for HbF levels. HbF levels ≥10% was defined as high. Results Of the 216 children, (80 37% had HbF levels ≥10%. Significant correlations were observed between HbF level and several clinical parameters independent of age including age at diagnosis (p value 0.013, number of hospitalisations (p value 0.024 and transfusions (p value 0.018 since birth. Conclusion A third of the children with SCA attending the Sickle cell clinic in Mulago Hospital have high HbF levels. Higher HbF level is associated with later onset of symptoms and presentation, and less severe disease characterised by fewer hospitalisations and blood transfusions. We suggest HbF levels should be determined at initial contact for patients with SCA to

Inference

DEFF Research Database (Denmark)

Møller, Jesper

(This text written by Jesper Møller, Aalborg University, is submitted for the collection ‘Stochastic Geometry: Highlights, Interactions and New Perspectives', edited by Wilfrid S. Kendall and Ilya Molchanov, to be published by ClarendonPress, Oxford, and planned to appear as Section 4.1 with the ......(This text written by Jesper Møller, Aalborg University, is submitted for the collection ‘Stochastic Geometry: Highlights, Interactions and New Perspectives', edited by Wilfrid S. Kendall and Ilya Molchanov, to be published by ClarendonPress, Oxford, and planned to appear as Section 4.......1 with the title ‘Inference'.) This contribution concerns statistical inference for parametric models used in stochastic geometry and based on quick and simple simulation free procedures as well as more comprehensive methods using Markov chain Monte Carlo (MCMC) simulations. Due to space limitations the focus...

Severe neuroinvasive West Nile virus infection in a child with undiagnosed Addison's disease

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Kevin Messacar

2014-01-01

Full Text Available This report describes a case of West Nile virus (WNV meningoencephalitis in a child who presented with fever, headache, seizures, and altered mental status, as well as hyponatremia and bronzing of the skin. Findings that led to the diagnosis of WNV included plasma-cell pleocytosis of the cerebrospinal fluid (CSF and linear chorioretinitis on ophthalmologic exam. The diagnosis was confirmed by a positive serum and CSF WNV IgM. The acute WNV infection triggered an adrenal crisis which uncovered a new diagnosis of underlying Addison's disease. This is the first case report of severe neuroinvasive WNV disease in a pediatric patient with primary adrenal insufficiency. Neuroinvasive WNV disease is uncommon in children, but may have a more severe presentation in those with certain underlying medical conditions.

Lower complexity bounds for lifted inference

DEFF Research Database (Denmark)

Jaeger, Manfred

2015-01-01

instances of the model. Numerous approaches for such “lifted inference” techniques have been proposed. While it has been demonstrated that these techniques will lead to significantly more efficient inference on some specific models, there are only very recent and still quite restricted results that show...... the feasibility of lifted inference on certain syntactically defined classes of models. Lower complexity bounds that imply some limitations for the feasibility of lifted inference on more expressive model classes were established earlier in Jaeger (2000; Jaeger, M. 2000. On the complexity of inference about...... that under the assumption that NETIME≠ETIME, there is no polynomial lifted inference algorithm for knowledge bases of weighted, quantifier-, and function-free formulas. Further strengthening earlier results, this is also shown to hold for approximate inference and for knowledge bases not containing...

Severe infectious diseases of childhood as monogenic inborn errors of immunity.

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Casanova, Jean-Laurent

2015-12-22

This paper reviews the developments that have occurred in the field of human genetics of infectious diseases from the second half of the 20th century onward. In particular, it stresses and explains the importance of the recently described monogenic inborn errors of immunity underlying resistance or susceptibility to specific infections. The monogenic component of the genetic theory provides a plausible explanation for the occurrence of severe infectious diseases during primary infection. Over the last 20 y, increasing numbers of life-threatening infectious diseases striking otherwise healthy children, adolescents, and even young adults have been attributed to single-gene inborn errors of immunity. These studies were inspired by seminal but neglected findings in plant and animal infections. Infectious diseases typically manifest as sporadic traits because human genotypes often display incomplete penetrance (most genetically predisposed individuals remain healthy) and variable expressivity (different infections can be allelic at the same locus). Infectious diseases of childhood, once thought to be archetypal environmental diseases, actually may be among the most genetically determined conditions of mankind. This nascent and testable notion has interesting medical and biological implications.

Hypercoagulability in end-stage liver disease: prevalence and its correlation with severity of liver disease and portal vein thrombosis.

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Singhal, Ashish; Karachristos, Andreas; Bromberg, Michael; Daly, Ellen; Maloo, Manoj; Jain, Ashok Kumar

2012-11-01

Contrary to well-recognized bleeding diathesis in chronic liver disease, thrombotic events can occur in these patients due to reduction or loss of synthesis of anticoagulant proteins. Forty-seven consecutive patients with end-stage liver disease (ESLD) were investigated for activity of protein C, protein S, antithrombin, and factor V Leiden mutation. Forty-two (89.4%) patients had low levels of at least 1 while 33 (70.2%) patients were deficient for all anticoagulant proteins studied. Forty-six (97.9%) patients were negative for factor V Leiden mutation. The deficiencies were more marked in hepatitis C virus-positive patients and patients with model for end-stage liver disease (MELD) score >15. Six (12.8%) patients had portal vein thrombosis (PVT), and all had diminished protein S activity. In conclusions, deficiency of anticoagulant proteins occur in early phase of chronic liver disease. The severity of deficiency is proportional to the severity of liver disease. Despite the high prevalence of hypercoagulability, the incidence of PVT is low. Further studies with larger cohort of patients are needed to support these conclusions and to study other associated factors.

Risk factors for cardiovascular disease in patients with COPD: mild-to-moderate COPD versus severe-to-very severe COPD.

Science.gov (United States)

Caram, Laura Miranda de Oliveira; Ferrari, Renata; Naves, Cristiane Roberta; Coelho, Liana Sousa; Vale, Simone Alves do; Tanni, Suzana Erico; Godoy, Irma

2016-01-01

To assess and compare the prevalence of comorbidities and risk factors for cardiovascular disease (CVD) in COPD patients according to disease severity. The study included 25 patients with mild-to-moderate COPD (68% male; mean age, 65 ± 8 years; mean FEV1, 73 ± 15% of predicted) and 25 with severe-to-very severe COPD (males, 56%; mean age, 69 ± 9 years; mean FEV1, 40 ± 18% of predicted). Comorbidities were recorded on the basis of data obtained from medical charts and clinical evaluations. Comorbidities were registered on the basis of data obtained from medical charts and clinical evaluations. The Charlson comorbidity index was calculated, and the Hospital Anxiety and Depression Scale (HADS) score was determined. Of the 50 patients evaluated, 38 (76%) had been diagnosed with at least one comorbidity, 21 (42%) having been diagnosed with at least one CVD. Twenty-four patients (48%) had more than one CVD. Eighteen (36%) of the patients were current smokers, 10 (20%) had depression, 7 (14%) had dyslipidemia, and 7 (14%) had diabetes mellitus. Current smoking, depression, and dyslipidemia were more prevalent among the patients with mild-to-moderate COPD than among those with severe-to-very severe COPD (p dislipidemia, e 7 (14%) tinham diabetes mellitus. Tabagismo atual, depressão e dislipidemia foram mais prevalentes nos pacientes com DPOC leve/moderada que naqueles com DPOC grave/muito grave (p dislipidemia e depressão), parecem ser mais prevalentes nos pacientes com DPOC leve/moderada.

Variations on Bayesian Prediction and Inference

Science.gov (United States)

2016-05-09

inference 2.2.1 Background There are a number of statistical inference problems that are not generally formulated via a full probability model...problem of inference about an unknown parameter, the Bayesian approach requires a full probability 1. REPORT DATE (DD-MM-YYYY) 4. TITLE AND...the problem of inference about an unknown parameter, the Bayesian approach requires a full probability model/likelihood which can be an obstacle

The Correlation of CD206, CD209, and Disease Severity in Behçet’s Disease with Arthritis

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Bunsoon Choi

2017-01-01

Full Text Available The purpose of this study was to clarify the role of pattern recognition receptors in Behçet’s disease (BD. The frequencies of several pattern recognition receptors (CD11b, CD11c, CD32, CD206, CD209, and dectin-1 were analyzed in patients with BD by flow cytometry, and cytokine levels, interleukin- (IL- 18, IL-23, and IL-17A, were compared in plasma. The analysis was performed in active (n=13 and inactive (n=13 stages of BD patients. Rheumatoid arthritis patients (n=19, as a disease control, and healthy control (HC (n=19 were enrolled. The frequencies of CD11b+ and CD32+ cells were significantly increased in active BD patients compared to HC. Disease severity score was correlated to CD11c+, CD206+, and CD209+ in whole leukocytes and CD11b+, CD11c+, CD206+, CD209+, and Dectin-1+ in granulocytes. The plasma levels of IL-17A were significantly different between HC and active BD. IL-18 showed significant difference between active and inactive BD patients. From this study, we concluded the expressions of several pattern recognition receptors were correlated to the joint symptoms of BD.

Association of Multiple Genetic Variants with the Extension and Severity of Coronary Artery Disease

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Simone Cristina Pinto Matheus Fischer

2018-02-01

Full Text Available Abstract Background: Metabolic syndrome (MS is a condition that, when associated with ischemic heart disease and cardiovascular events, can be influenced by genetic variants and determine more severe coronary atherosclerosis. Objectives: To examine the contribution of genetic polymorphisms to the extension and severity of coronary disease in subjects with MS and recent acute coronary syndrome (ACS. Methods: Patients (n = 116, 68% males aged 56 (9 years, with criteria for MS, were prospectively enrolled to the study during the hospitalization period after an ACS. Clinical and laboratory parameters, high-sensitivity C-reactive protein, thiobarbituric acid reactive substances, adiponectin, endothelial function, and the Gensini score were assessed. Polymorphisms of paraoxonase-1 (PON-1, methylenotetrahydrofolate reductase (MTHFR, endothelial nitric oxide synthase (ENOS, angiotensin-converting enzyme (ACE, angiotensin II type 1 receptor (AT1R, apolipoprotein C3 (APOC3, lipoprotein lipase (LPL were analysed by polymerase chain reaction (PCR technique, followed by the identification of restriction fragment length polymorphisms (RFLP, and a genetic score was calculated. Parametric and non-parametric tests were used, as appropriate. Significance was set at p < 0.05. Results: Polymorphisms of PON-1, MTHFR and ENOS were not in the Hardy-Weinberg equilibrium. The DD genotype of LPL was associated with higher severity and greater extension of coronary lesions. Genetic score tended to be higher in patients with Gensini score < P50 (13.7 ± 1.5 vs. 13.0 ± 1.6, p = 0.066, with an inverse correlation between genetic and Gensini scores (R = -0.194, p = 0.078. Conclusions: The LPL polymorphism contributed to the severity of coronary disease in patients with MS and recent ACS. Combined polymorphisms were associated with the extension of coronary disease, and the lower the genetic score the more severe the disease.

Prophylaxis escalation in severe von Willebrand disease: A prospective study from the von Willebrand Disease Prophylaxis Network

NARCIS (Netherlands)

T.C. Abshire (Thomas Calvin); J. Cox-Gill; C.L. Kempton; F.W.G. Leebeek (Frank); M. Carcao (M.); P. Kouides (P.); S. Donfield (S.); E. Berntorp

2015-01-01

textabstractBackground: Treatment of mucosal bleeding (epistaxis, gastrointestinal bleeding, and menorrhagia) and joint bleeding remains problematic in clinically severe von Willebrand disease (VWD). Patients are often unresponsive to treatment (e.g. desmopressin or antifibrinolytic therapy) and may

Somatic hospital contacts, invasive cardiac procedures, and mortality from heart disease in patients with severe mental disorder.

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Laursen, Thomas Munk; Munk-Olsen, Trine; Agerbo, Esben; Gasse, Christiane; Mortensen, Preben Bo

2009-07-01

Excess mortality from heart disease is observed in patients with severe mental disorder. This excess mortality may be rooted in adverse effects of pharmacological or psychotropic treatment, lifestyle factors, or inadequate somatic care. To examine whether persons with severe mental disorder, defined as persons admitted to a psychiatric hospital with bipolar affective disorder, schizoaffective disorder, or schizophrenia, are in contact with hospitals and undergoing invasive procedures for heart disease to the same degree as the nonpsychiatric general population, and to determine whether they have higher mortality rates of heart disease. A population-based cohort of 4.6 million persons born in Denmark was followed up from 1994 to 2007. Rates of mortality, somatic contacts, and invasive procedures were estimated by survival analysis. Incidence rate ratios of heart disease admissions and heart disease mortality as well as probability of invasive cardiac procedures. The incidence rate ratio of heart disease contacts in persons with severe mental disorder compared with the rate for the nonpsychiatric general population was only slightly increased, at 1.11 (95% confidence interval, 1.08-1.14). In contrast, their excess mortality rate ratio from heart disease was 2.90 (95% confidence interval, 2.71-3.10). Five years after the first contact for somatic heart disease, the risk of dying of heart disease was 8.26% for persons with severe mental disorder (aged mental disorder as compared with the nonpsychiatric general population (7.04% vs 12.27%, respectively). Individuals with severe mental disorder had only negligible excess rates of contact for heart disease. Given their excess mortality from heart disease and lower rates of invasive procedures after first contact, it would seem that the treatment for heart disease offered to these individuals in Denmark is neither sufficiently efficient nor sufficiently intensive. This undertreatment may explain part of their excess

The impact of within-herd genetic variation upon inferred transmission trees for foot-and-mouth disease virus.

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Valdazo-González, Begoña; Kim, Jan T; Soubeyrand, Samuel; Wadsworth, Jemma; Knowles, Nick J; Haydon, Daniel T; King, Donald P

2015-06-01

Full-genome sequences have been used to monitor the fine-scale dynamics of epidemics caused by RNA viruses. However, the ability of this approach to confidently reconstruct transmission trees is limited by the knowledge of the genetic diversity of viruses that exist within different epidemiological units. In order to address this question, this study investigated the variability of 45 foot-and-mouth disease virus (FMDV) genome sequences (from 33 animals) that were collected during 2007 from eight premises (10 different herds) in the United Kingdom. Bayesian and statistical parsimony analysis demonstrated that these sequences exhibited clustering which was consistent with a transmission scenario describing herd-to-herd spread of the virus. As an alternative to analysing all of the available samples in future epidemics, the impact of randomly selecting one sequence from each of these herds was used to assess cost-effective methods that might be used to infer transmission trees during FMD outbreaks. Using these approaches, 85% and 91% of the resulting topologies were either identical or differed by only one edge from a reference tree comprising all of the sequences generated within the outbreak. The sequence distances that accrued during sequential transmission events between epidemiological units was estimated to be 4.6 nucleotides, although the genetic variability between viruses recovered from chronic carrier animals was higher than between viruses from animals with acute-stage infection: an observation which poses challenges for the use of simple approaches to infer transmission trees. This study helps to develop strategies for sampling during FMD outbreaks, and provides data that will guide the development of further models to support control policies in the event of virus incursions into FMD free countries. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

What predicts depression in cardiac patients: sociodemographic factors, disease severity or theoretical vulnerabilities?

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Doyle, F; McGee, H M; Conroy, R M; Delaney, M

2011-05-01

Depression is associated with increased cardiovascular risk in acute coronary syndrome (ACS) patients, but some argue that elevated depression is actually a marker of cardiovascular disease severity. Therefore, disease indices should better predict depression than established theoretical causes of depression (interpersonal life events, reinforcing events, cognitive distortions, type D personality). However, little theory-based research has been conducted in this area. In a cross-sectional design, ACS patients (n = 336) completed questionnaires assessing depression and psychosocial vulnerabilities. Nested logistic regression assessed the relative contribution of demographic or vulnerability factors, or disease indices or vulnerabilities to depression. In multivariate analysis, all vulnerabilities were independent significant predictors of depression (scoring above threshold on any scale, 48%). Demographic variables accounted for vulnerabilities accounting for significantly more (pseudo R² = 0.16, χ²(change) = 150.9, df = 4, p vulnerabilities increased the overall variance explained to 22% (pseudo R² = 0.22, χ² = 58.6, df = 4, p vulnerabilities predicted depression status better than did either demographic or disease indices. The presence of these proximal causes of depression suggests that depression in ACS patients is not simply a result of cardiovascular disease severity.

State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

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Tuqyah Abdullah Al Qazlan

2015-01-01

Full Text Available To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs inference. GRNs represent causal relationships between genes that have a direct influence, trough protein production, on the life and the development of living organisms and provide a useful contribution to the understanding of the cellular functions as well as the mechanisms of diseases. Fuzzy systems are based on handling imprecise knowledge, such as biological information. They provide viable computational tools for inferring GRNs from gene expression data, thus contributing to the discovery of gene interactions responsible for specific diseases and/or ad hoc correcting therapies. Increasing computational power and high throughput technologies have provided powerful means to manage these challenging digital ecosystems at different levels from cell to society globally. The main aim of this paper is to report, present, and discuss the main contributions of this multidisciplinary field in a coherent and structured framework.

The potential influence of atherogenic dyslipidemia on the severity of chronic Chagas heart disease

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Luz Peverengo

2016-02-01

Full Text Available SUMMARY Introduction: chronic Chagas heart disease (CCHD is the most common manifestation of American Trypanosomiasis, causing about 50,000 deaths annually. Several factors bear correlation with the severity of CCHD. However, to our knowledge, the assessment on the contribution of major cardiovascular risk factors (CRF, such as hypertension and atherogenic dyslipidemia (AD to CCHD severity is scarce, despite their well-established role in coronary artery disease, heart failure and stroke. Objective: to explore the potential relationship of blood pressure and AD with the clinical profile of patients with CCHD. Methods: we performed a cross-sectional study in T. cruziseropositive patients categorized according to a standard CCHD classification. All individuals were subjected to complete clinical examination. Autoantibodies induced by T. cruzi were assessed by ELISA. Results: we observed that Atherogenic index (AI levels rose significantly in relation to the severity of the CCHD stage, with CCHD III cases showing the highest values of AI. Furthermore, those patients with globally dilated cardiomyopathy with reduced ejection fraction showed higher levels of AI. In regard to autoantibodies, anti-B13 also showed relation with the severity of the disease. Conclusion: we observed that AI correlated with CCHD stages and contributed, in association with anti-B13 antibodies and age, to the prediction of systolic heart failure.

Gallstone disease is associated with more severe liver damage in patients with non-alcoholic fatty liver disease.

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Anna Ludovica Fracanzani

Full Text Available BACKGROUND: Nonalcoholic fatty liver disease (NAFLD and gallstone disease (GD are both highly prevalent in the general population and associated with obesity and insulin resistance. We aimed to evaluate the prevalence of GD in a cross sectional study of NAFLD patients and to define whether the presence of GD is associated with diabetes and predicts more severe liver disease. METHODOLOGY/PRINCIPAL FINDINGS: We merged databases of four Liver Units, comprising 524 consecutive biopsy-proven NAFLD (373 males observed between January 2003 and June 2010. GD was diagnosed in 108 (20%, and 313 cases (60% were classified by liver biopsy as nonalcoholic steatohepatitis (NASH. The GD subgroup was characterized by a significantly higher prevalence of females, prediabetes/diabetes, abdominal obesity and metabolic syndrome, older age, higher BMI, fasting glucose, HOMA-IR and lower ALT. The prevalence of GD progressively increased with advancing fibrosis and with the severity of necroinflammatory activity (p for trend  = 0.0001 and  = 0.01, respectively, without differences in the severity of steatosis. At multivariate analysis GD was associated with female gender (OR 1.37, 95% CI 1.04-1.8, age (OR 1.027, 95% CI1.003-1.05, fasting glucose (OR 1.21, 95% CI 1.10-1.33 and NASH (OR 1.40,95% CI 1.06-1.89, whereas ALT levels were associated with a lower GD risk (OR 0.98, 95% CI 0.97-0.99. When subjects with cirrhosis were excluded from analysis, the association between GD and fasting glucose, female gender, and NASH was maintained. CONCLUSION: Patients with NAFLD have a high prevalence of GD, which characterizes subjects with altered glucose regulation and more advanced liver disease.

Race/ethnicity and disease severity in IgA nephropathy

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Chertow Glenn M

2004-09-01

Full Text Available Abstract Background Relatively few U.S.-based studies in chronic kidney disease have focused on Asian/Pacific Islanders. Clinical reports suggest that Asian/Pacific Islanders are more likely to be affected by IgA nephropathy (IgAN, and that the severity of disease is increased in these populations. Methods To explore whether these observations are borne out in a multi-ethnic, tertiary care renal pathology practice, we examined clinical and pathologic data on 298 patients with primary glomerular lesions (IgAN, focal segmental glomerulosclerosis, membranous nephropathy and minimal change disease at the University of California San Francisco Medical Center from November 1994 through May 2001. Pathologic assessment of native kidney biopsies with IgAN was conducted using Haas' classification system. Results Among individuals with IgAN (N = 149, 89 (60% were male, 57 (38% white, 53 (36% Asian/Pacific Islander, 29 (19% Hispanic, 4 (3% African American and 6 (4% were of other or unknown ethnicity. The mean age was 37 ± 14 years and median serum creatinine 1.7 mg/dL. Sixty-six patients (44% exhibited nephrotic range proteinuria at the time of kidney biopsy. The distributions of age, gender, mean serum creatinine, and presence or absence of nephrotic proteinuria and/or hypertension at the time of kidney biopsy were not significantly different among white, Hispanic, and Asian/Pacific Islander groups. Of the 124 native kidney biopsies with IgAN, 10 (8% cases were classified into Haas subclass I, 12 (10% subclass II, 23 (18% subclass III, 30 (25% subclass IV, and 49 (40% subclass V. The distribution of Haas subclass did not differ significantly by race/ethnicity. In comparison, among the random sample of patients with non-IgAN glomerular lesions (N = 149, 77 (52% patients were male, 51 (34% white, 42 (28% Asian/Pacific Islander, 25 (17% Hispanic, and 30 (20% were African American. Conclusions With the caveats of referral and biopsy biases, the race

Longitudinal peripheral blood transcriptional analysis of a patient with severe Ebola virus disease.

Science.gov (United States)

Kash, John C; Walters, Kathie-Anne; Kindrachuk, Jason; Baxter, David; Scherler, Kelsey; Janosko, Krisztina B; Adams, Rick D; Herbert, Andrew S; James, Rebekah M; Stonier, Spencer W; Memoli, Matthew J; Dye, John M; Davey, Richard T; Chertow, Daniel S; Taubenberger, Jeffery K

2017-04-12

The 2013-2015 outbreak of Ebola virus disease in Guinea, Liberia, and Sierra Leone was unprecedented in the number of documented cases, but there have been few published reports on immune responses in clinical cases and their relationships with the course of illness and severity of Ebola virus disease. Symptoms of Ebola virus disease can include severe headache, myalgia, asthenia, fever, fatigue, diarrhea, vomiting, abdominal pain, and hemorrhage. Although experimental treatments are in development, there are no current U.S. Food and Drug Administration-approved vaccines or therapies. We report a detailed study of host gene expression as measured by microarray in daily peripheral blood samples collected from a patient with severe Ebola virus disease. This individual was provided with supportive care without experimental therapies at the National Institutes of Health Clinical Center from before onset of critical illness to recovery. Pearson analysis of daily gene expression signatures revealed marked gene expression changes in peripheral blood leukocytes that correlated with changes in serum and peripheral blood leukocytes, viral load, antibody responses, coagulopathy, multiple organ dysfunction, and then recovery. This study revealed marked shifts in immune and antiviral responses that preceded changes in medical condition, indicating that clearance of replicating Ebola virus from peripheral blood leukocytes is likely important for systemic viral clearance. Copyright © 2017, American Association for the Advancement of Science.

Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS

Directory of Open Access Journals (Sweden)

Khadijah Fahmi Hayati Holle

2016-09-01

Full Text Available The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network. The used data is UCI Cleveland data that have 13 attributes as inputs. Output system diagnosis compared with observational data for evaluation. System performance tested by calculating accuracy. Tests were also conducted on the variation of the learning rate, iteration, minimum error, and the use of membership functions. Accuracy obtained from test is 65,657% where using membership function Beta.

Percutaneous Coronary Intervention in Severely Calcified Unprotected Left Main Coronary Artery Disease: Initial Experience With Orbital Atherectomy.

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Lee, Michael S; Shlofmitz, Evan; Kaplan, Barry; Shlofmitz, Richard

2016-04-01

We report the clinical outcomes of patients who underwent percutaneous coronary intervention (PCI) with orbital atherectomy for severely calcified unprotected left main coronary artery (ULMCA) disease. Although surgical revascularization is the gold standard for patients with ULMCA disease, not all patients are candidates for this. PCI is increasingly used to treat complex coronary artery disease, including ULMCA disease. The presence of severely calcified lesions increases the complexity of PCI. Orbital atherectomy can be used to facilitate stent delivery and expansion in severely calcified lesions. The clinical outcomes of patients treated with orbital atherectomy for severely calcified ULMCA disease have not been reported. From May 2014 to July 2015, a total of 14 patients who underwent PCI with orbital atherectomy for ULMCA disease were retrospectively evaluated. The primary endpoint was major cardiac and cerebrovascular event (cardiac death, myocardial infarction, stroke, and target-lesion revascularization) at 30 days. The mean age was 78.2 ± 5.8 years. The mean ejection fraction was 41.8 ± 19.8%. Distal bifurcation disease was present in 9 of 14 patients. Procedural success was achieved in all 14 patients. The 30-day major adverse cardiac and cerebrovascular event rate was 0%. One patient had coronary dissection that was successfully treated with stenting. No patient had perforation, slow flow, or thrombosis. Orbital atherectomy in patients with severely calcified ULMCA disease is feasible, even in high-risk patients who were considered poor surgical candidates. Randomized trials are needed to determine the role of orbital atherectomy in ULMCA disease.

Impact of the NAP-1 strain on disease severity, mortality, and recurrence of healthcare-associated Clostridium difficile infection.

Science.gov (United States)

Bauer, Karri A; Johnston, Jessica E W; Wenzler, Eric; Goff, Debra A; Cook, Charles H; Balada-Llasat, Joan-Miquel; Pancholi, Preeti; Mangino, Julie E

2017-12-01

Studies are conflicting regarding the association of the North American pulsed-field gel electrophoresis type 1 (NAP1) strain in Clostridium difficile infection (CDI) and outcomes. We evaluated the association of NAP1 with healthcare-associated CDI disease severity, mortality, and recurrence at our academic medical center. Healthcare-associated CDI cases were identified from November 1, 2011 through January 31, 2013. Multivariable regression models were used to evaluate the associations of NAP1 with severe disease (based on the Hines VA severity score index), mortality, and recurrence. Among 5424 stool specimens submitted to the Clinical Microbiology Laboratory, 292 (5.4%) were positive for C. difficile by polymerase chain reaction (PCR) on or after hospital day 4; 70 (24%) of these specimens also tested positive for NAP1. During the study period, 247 (85%) patients had non-severe disease and 45 (15%) patients had severe disease. Among patients with non-severe disease, 65 (26%) had NAP1 and among patients with severe disease, 5 (11%) had NAP1. After controlling for potential confounders, NAP1 was not associated with an increased likelihood of severe disease (adjusted odds ratio [aOR] = 0.35; 95% confidence interval [CI], 0.13-0.93), in-hospital mortality (aOR = 1.02; 95% CI, 0.53-1.96), or recurrence (aOR = 1.16, 95% CI, 0.36-3.77). The NAP1 strain did not increase disease severity, mortality, or recurrence in this study, although the incidence of NAP1-positive healthcare associated-CDI was low. The role of strain typing in outcomes and treatment selection in patients with healthcare-associated CDI remains uncertain. Copyright © 2017 Elsevier Ltd. All rights reserved.

Diverting Ileostomy for the Treatment of Severe, Refractory, Pediatric Inflammatory Bowel Disease.

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Maxwell, Elizabeth C; Dawany, Noor; Baldassano, Robert N; Mamula, Petar; Mattei, Peter; Albenberg, Lindsey; Kelsen, Judith R

2017-09-01

Diverting ileostomy is used as a temporizing therapy in patients with perianal Crohn disease; however, little data exist regarding its use for colonic disease. The primary aim of the present study was to determine the role of diversion in severe refractory colonic inflammatory bowel disease (IBD) in a pediatric population. Retrospective study of patients who underwent diverting ileostomy at The Children's Hospital of Philadelphia from 2000 to 2014 for the management of severe, refractory colonic IBD. Clinical variables were compared in the 1 year before ileostomy and 1 year after diversion. Surgical and disease outcomes including changes in diagnosis were reviewed through 2015. Twenty-four patients underwent diverting ileostomy for refractory colonic disease. Initial diagnoses were Crohn disease in 10 (42%), ulcerative colitis in 1 (4%), and IBD-unclassified in 13 patients (54%). Comparing data before and after surgery, there were statistically significant improvements in height and weight velocities, height velocity z score, blood transfusion requirement, hemoglobin, and hospitalization rates. Chronic steroid use decreased from 71% to 22%. At the conclusion of the study, 10 patients had undergone subsequent colectomy, 7 had successful bowel reanastomosis, and 7 remain diverted. Seven patients (29%) had a change in diagnosis. There were 13 surgical complications in 7 subjects, including prolapse reduction, stoma revision, and resection of ischemic bowel. In pediatric patients with refractory colonic IBD, diverting ileostomy can be a successful intervention to induce clinical stability. Importantly, diversion is a steroid-sparing therapy and allows additional time to clarify the diagnosis.

Adaptive Inference on General Graphical Models

OpenAIRE

Acar, Umut A.; Ihler, Alexander T.; Mettu, Ramgopal; Sumer, Ozgur

2012-01-01

Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform updates to conditional dependencies. The goal of adaptive inference is to take advantage of what is preserved in the model and perform inference more rapidly than from scratch. In this paper, we describe techniques for adaptive inference on general graphs that support marginal computation and updates to the conditional ...

Inference of Transcriptional Network for Pluripotency in Mouse Embryonic Stem Cells

International Nuclear Information System (INIS)

Aburatani, S

2015-01-01

In embryonic stem cells, various transcription factors (TFs) maintain pluripotency. To gain insights into the regulatory system controlling pluripotency, I inferred the regulatory relationships between the TFs expressed in ES cells. In this study, I applied a method based on structural equation modeling (SEM), combined with factor analysis, to 649 expression profiles of 19 TF genes measured in mouse Embryonic Stem Cells (ESCs). The factor analysis identified 19 TF genes that were regulated by several unmeasured factors. Since the known cell reprogramming TF genes (Pou5f1, Sox2 and Nanog) are regulated by different factors, each estimated factor is considered to be an input for signal transduction to control pluripotency in mouse ESCs. In the inferred network model, TF proteins were also arranged as unmeasured factors that control other TFs. The interpretation of the inferred network model revealed the regulatory mechanism for controlling pluripotency in ES cells

Crystal-proven Gout and Characteristic Gout Severity Factors are Associated with Cardiovascular Disease.

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Disveld, Iris J M; Fransen, Jaap; Rongen, Gerard A; Kienhorst, Laura B E; Zoakman, Sahel; Janssens, Hein J E M; Janssen, Matthijs

2018-04-15

Our aim was to examine the prevalence of cardiovascular disease (CVD) in patients with crystal-proven gout compared to arthritis controls. Further, we analyzed the association between characteristic gout severity factors and CVD to provide further support for a pathogenetic relationship between gout and CVD. Patients with arthritis referred for diagnosis were consecutively included in the Gout Arnhem-Liemers cohort. Joint fluid analysis was performed in all referred patients; controls were negative for crystals. Patients' characteristics and different manifestations of CVD and gout severity factors (disease duration, attack frequency, tophi, affected joints, high serum urate acid level, joint damage) were collected. Gout patients were compared with controls for the prevalence of CVD. In addition, the association between characteristic gout severity factors and presence of CVD was analyzed. Data from 700 gout patients and 276 controls were collected. CVD was present in 47% (95% CI 44%-51%) and 24% (95% CI 19%-29%) of gout patients and controls, respectively. Corrected for confounders, gout was still strongly associated with an increased prevalence of CVD compared to controls (OR 3.39, 95% CI 2.37-4.84). In patients with gout, disease duration ≥ 2 years, oligo- or polyarthritis, serum urate acid > 0.55 mmol/l at presentation, and joint damage were independently (p patients with gout, characteristic gout severity factors were associated with CVD.

AD-LIBS: inferring ancestry across hybrid genomes using low-coverage sequence data.

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Schaefer, Nathan K; Shapiro, Beth; Green, Richard E

2017-04-04

Inferring the ancestry of each region of admixed individuals' genomes is useful in studies ranging from disease gene mapping to speciation genetics. Current methods require high-coverage genotype data and phased reference panels, and are therefore inappropriate for many data sets. We present a software application, AD-LIBS, that uses a hidden Markov model to infer ancestry across hybrid genomes without requiring variant calling or phasing. This approach is useful for non-model organisms and in cases of low-coverage data, such as ancient DNA. We demonstrate the utility of AD-LIBS with synthetic data. We then use AD-LIBS to infer ancestry in two published data sets: European human genomes with Neanderthal ancestry and brown bear genomes with polar bear ancestry. AD-LIBS correctly infers 87-91% of ancestry in simulations and produces ancestry maps that agree with published results and global ancestry estimates in humans. In brown bears, we find more polar bear ancestry than has been published previously, using both AD-LIBS and an existing software application for local ancestry inference, HAPMIX. We validate AD-LIBS polar bear ancestry maps by recovering a geographic signal within bears that mirrors what is seen in SNP data. Finally, we demonstrate that AD-LIBS is more effective than HAPMIX at inferring ancestry when preexisting phased reference data are unavailable and genomes are sequenced to low coverage. AD-LIBS is an effective tool for ancestry inference that can be used even when few individuals are available for comparison or when genomes are sequenced to low coverage. AD-LIBS is therefore likely to be useful in studies of non-model or ancient organisms that lack large amounts of genomic DNA. AD-LIBS can therefore expand the range of studies in which admixture mapping is a viable tool.

Visual Aids Improve Diagnostic Inferences and Metacognitive Judgment Calibration

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Rocio eGarcia-Retamero

2015-07-01

Full Text Available Visual aids can improve comprehension of risks associated with medical treatments, screenings, and lifestyles. Do visual aids also help decision makers accurately assess their risk comprehension? That is, do visual aids help them become well calibrated? To address these questions, we investigated the benefits of visual aids displaying numerical information and measured accuracy of self-assessment of diagnostic inferences (i.e., metacognitive judgment calibration controlling for individual differences in numeracy. Participants included 108 patients who made diagnostic inferences about three medical tests on the basis of information about the sensitivity and false-positive rate of the tests and disease prevalence. Half of the patients received the information in numbers without a visual aid, while the other half received numbers along with a grid representing the numerical information. In the numerical condition, many patients --especially those with low numeracy-- misinterpreted the predictive value of the tests and profoundly overestimated the accuracy of their inferences. Metacognitive judgment calibration mediated the relationship between numeracy and accuracy of diagnostic inferences. In contrast, in the visual aid condition, patients at all levels of numeracy showed high-levels of inferential accuracy and metacognitive judgment calibration. Results indicate that accurate metacognitive assessment may explain the beneficial effects of visual aids and numeracy --a result that accords with theory suggesting that metacognition is an essential part of risk literacy. We conclude that well-designed risk communications can inform patients about health-relevant numerical information while helping them assess the quality of their own risk comprehension.

Human Metapneumovirus Infection in Jordanian Children: Epidemiology and Risk Factors for Severe Disease

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Schuster, Jennifer E.; Khuri-Bulos, Najwa; Faouri, Samir; Shehabi, Asem; Johnson, Monika; Wang, Li; Fonnesbeck, Christopher; Williams, John V.; Halasa, Natasha

2016-01-01

Background Human metapneumovirus (HMPV) is a leading cause of acute respiratory tract infection (ARTI) in young children. Our objectives were to define HMPV epidemiology and circulating strains and determine markers of severe disease in Jordanian children. Methods We conducted a prospective study March 16, 2010-March 31, 2013 using quantitative RT-PCR to determine the frequency of HMPV infection among children <2 years old admitted with fever and/or acute respiratory illness to a major government hospital in Amman, Jordan. Results HMPV was present in 273/3168 (8.6%) of children presenting with ARTI. HMPV A2, B1, and B2, but not A1, were detected during the 3-year period. HMPV-infected children were older and more likely to be diagnosed with bronchopneumonia than HMPV-negative children. HMPV-infected children with lower respiratory tract infection (LRTI) had higher rates of cough and shortness of breath than children with LRTI infected with other or no identifiable viruses. Symptoms and severity were not different between children with HMPV only compared with HMPV co-infection. Children with HMPV subgroup A infection were more likely to require supplemental oxygen. In a multivariate analysis, HMPV subgroup A and age <6 months were independently associated with supplemental oxygen requirement. Conclusions HMPV is a leading cause of acute respiratory tract disease in Jordanian children <2 years old. HMPV A and young age were associated with severe disease. Ninety percent of HMPV-infected hospitalized children were full-term and otherwise healthy, in contrast to high-income nations; thus, factors contributing to disease severity likely vary depending on geographic and resource differences. PMID:26372450

HIV-1 Promoter Single Nucleotide Polymorphisms Are Associated with Clinical Disease Severity.

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Michael R Nonnemacher

Full Text Available The large majority of human immunodeficiency virus type 1 (HIV-1 markers of disease progression/severity previously identified have been associated with alterations in host genetic and immune responses, with few studies focused on viral genetic markers correlate with changes in disease severity. This study presents a cross-sectional/longitudinal study of HIV-1 single nucleotide polymorphisms (SNPs contained within the viral promoter or long terminal repeat (LTR in patients within the Drexel Medicine CNS AIDS Research and Eradication Study (CARES Cohort. HIV-1 LTR SNPs were found to associate with the classical clinical disease parameters CD4+ T-cell count and log viral load. They were found in both defined and undefined transcription factor binding sites of the LTR. A novel SNP identified at position 108 in a known COUP (chicken ovalbumin upstream promoter/AP1 transcription factor binding site was significantly correlated with binding phenotypes that are potentially the underlying cause of the associated clinical outcome (increase in viral load and decrease in CD4+ T-cell count.

Constructing an integrated gene similarity network for the identification of disease genes.

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Tian, Zhen; Guo, Maozu; Wang, Chunyu; Xing, LinLin; Wang, Lei; Zhang, Yin

2017-09-20

Discovering novel genes that are involved human diseases is a challenging task in biomedical research. In recent years, several computational approaches have been proposed to prioritize candidate disease genes. Most of these methods are mainly based on protein-protein interaction (PPI) networks. However, since these PPI networks contain false positives and only cover less half of known human genes, their reliability and coverage are very low. Therefore, it is highly necessary to fuse multiple genomic data to construct a credible gene similarity network and then infer disease genes on the whole genomic scale. We proposed a novel method, named RWRB, to infer causal genes of interested diseases. First, we construct five individual gene (protein) similarity networks based on multiple genomic data of human genes. Then, an integrated gene similarity network (IGSN) is reconstructed based on similarity network fusion (SNF) method. Finally, we employee the random walk with restart algorithm on the phenotype-gene bilayer network, which combines phenotype similarity network, IGSN as well as phenotype-gene association network, to prioritize candidate disease genes. We investigate the effectiveness of RWRB through leave-one-out cross-validation methods in inferring phenotype-gene relationships. Results show that RWRB is more accurate than state-of-the-art methods on most evaluation metrics. Further analysis shows that the success of RWRB is benefited from IGSN which has a wider coverage and higher reliability comparing with current PPI networks. Moreover, we conduct a comprehensive case study for Alzheimer's disease and predict some novel disease genes that supported by literature. RWRB is an effective and reliable algorithm in prioritizing candidate disease genes on the genomic scale. Software and supplementary information are available at http://nclab.hit.edu.cn/~tianzhen/RWRB/ .

Correlation of Hyponatremia with Hepatic Encephalopathy and Severity of Liver Disease

International Nuclear Information System (INIS)

Qureshi, M. O.; Khokhar, N.; Saleem, A.; Niazi, T. K.

2014-01-01

Objective: To assess the frequency of low serum sodium levels and to correlate it with the severity of liver disease and hepatic encephalopathy (HE) in patients coming to the tertiary care hospital. Study Design: Observational study. Place and Duration of Study: Shifa International Hospital, Islamabad, from January 2011 to January 2012. Methodology: A total of 202 patients with hepatic encephalopathy and chronic liver disease had serum sodium measured. The HE was graded according to the West Haven classification (4 grades). Relationship of hyponatremia was correlated with severity grade of encephalopathy using Spearman rank correlation test. Results: Out of 202 patients, 62 (30.7%) patients had serum sodium less than 130 meq/l. Out of 202, HE was present in 69 (34.15%) patients and out of these, 38 had grade III-IV HE and 31 had grade I - II HE. Out of 69 patients with HE 57 had sodium less than 135 (p 135 mmol/L. (author)

Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.

Science.gov (United States)

Pecevski, Dejan; Maass, Wolfgang

2016-01-01

Numerous experimental data show that the brain is able to extract information from complex, uncertain, and often ambiguous experiences. Furthermore, it can use such learnt information for decision making through probabilistic inference. Several models have been proposed that aim at explaining how probabilistic inference could be performed by networks of neurons in the brain. We propose here a model that can also explain how such neural network could acquire the necessary information for that from examples. We show that spike-timing-dependent plasticity in combination with intrinsic plasticity generates in ensembles of pyramidal cells with lateral inhibition a fundamental building block for that: probabilistic associations between neurons that represent through their firing current values of random variables. Furthermore, by combining such adaptive network motifs in a recursive manner the resulting network is enabled to extract statistical information from complex input streams, and to build an internal model for the distribution p (*) that generates the examples it receives. This holds even if p (*) contains higher-order moments. The analysis of this learning process is supported by a rigorous theoretical foundation. Furthermore, we show that the network can use the learnt internal model immediately for prediction, decision making, and other types of probabilistic inference.

Severe infectious diseases of childhood as monogenic inborn errors of immunity

Science.gov (United States)

Casanova, Jean-Laurent

2015-01-01

This paper reviews the developments that have occurred in the field of human genetics of infectious diseases from the second half of the 20th century onward. In particular, it stresses and explains the importance of the recently described monogenic inborn errors of immunity underlying resistance or susceptibility to specific infections. The monogenic component of the genetic theory provides a plausible explanation for the occurrence of severe infectious diseases during primary infection. Over the last 20 y, increasing numbers of life-threatening infectious diseases striking otherwise healthy children, adolescents, and even young adults have been attributed to single-gene inborn errors of immunity. These studies were inspired by seminal but neglected findings in plant and animal infections. Infectious diseases typically manifest as sporadic traits because human genotypes often display incomplete penetrance (most genetically predisposed individuals remain healthy) and variable expressivity (different infections can be allelic at the same locus). Infectious diseases of childhood, once thought to be archetypal environmental diseases, actually may be among the most genetically determined conditions of mankind. This nascent and testable notion has interesting medical and biological implications. PMID:26621750

Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance

Science.gov (United States)

Kale, Mandar; Mukhopadhyay, Sudipta; Dash, Jatindra K.; Garg, Mandeep; Khandelwal, Niranjan

2016-03-01

Interstitial lung disease (ILD) is complicated group of pulmonary disorders. High Resolution Computed Tomography (HRCT) considered to be best imaging technique for analysis of different pulmonary disorders. HRCT findings can be categorised in several patterns viz. Consolidation, Emphysema, Ground Glass Opacity, Nodular, Normal etc. based on their texture like appearance. Clinician often find it difficult to diagnosis these pattern because of their complex nature. In such scenario computer-aided diagnosis system could help clinician to identify patterns. Several approaches had been proposed for classification of ILD patterns. This includes computation of textural feature and training /testing of classifier such as artificial neural network (ANN), support vector machine (SVM) etc. In this paper, wavelet features are calculated from two different ILD database, publically available MedGIFT ILD database and private ILD database, followed by performance evaluation of ANN and SVM classifiers in terms of average accuracy. It is found that average classification accuracy by SVM is greater than ANN where trained and tested on same database. Investigation continued further to test variation in accuracy of classifier when training and testing is performed with alternate database and training and testing of classifier with database formed by merging samples from same class from two individual databases. The average classification accuracy drops when two independent databases used for training and testing respectively. There is significant improvement in average accuracy when classifiers are trained and tested with merged database. It infers dependency of classification accuracy on training data. It is observed that SVM outperforms ANN when same database is used for training and testing.

Critical Role of Airway Macrophages in Modulating Disease Severity during Influenza Virus Infection of Mice ▿

Science.gov (United States)

Tate, Michelle D.; Pickett, Danielle L.; van Rooijen, Nico; Brooks, Andrew G.; Reading, Patrick C.

2010-01-01

Airway macrophages provide a first line of host defense against a range of airborne pathogens, including influenza virus. In this study, we show that influenza viruses differ markedly in their abilities to infect murine macrophages in vitro and that infection of macrophages is nonproductive and no infectious virus is released. Virus strain BJx109 (H3N2) infected macrophages with high efficiency and was associated with mild disease following intranasal infection of mice. In contrast, virus strain PR8 (H1N1) was poor in its ability to infect macrophages and highly virulent for mice. Depletion of airway macrophages by clodronate-loaded liposomes led to the development of severe viral pneumonia in BJx109-infected mice but did not modulate disease severity in PR8-infected mice. The severe disease observed in macrophage-depleted mice infected with BJx109 was associated with exacerbated virus replication in the airways, leading to severe airway inflammation, pulmonary edema, and vascular leakage, indicative of lung injury. Thymic atrophy, lymphopenia, and dysregulated cytokine and chemokine production were additional systemic manifestations associated with severe disease. Thus, airway macrophages play a critical role in limiting lung injury and associated disease caused by BJx109. Furthermore, the inability of PR8 to infect airway macrophages may be a critical factor contributing to its virulence for mice. PMID:20504924

The inference from a single case: moral versus scientific inferences in implementing new biotechnologies.

Science.gov (United States)

Hofmann, B

2008-06-01

Are there similarities between scientific and moral inference? This is the key question in this article. It takes as its point of departure an instance of one person's story in the media changing both Norwegian public opinion and a brand-new Norwegian law prohibiting the use of saviour siblings. The case appears to falsify existing norms and to establish new ones. The analysis of this case reveals similarities in the modes of inference in science and morals, inasmuch as (a) a single case functions as a counter-example to an existing rule; (b) there is a common presupposition of stability, similarity and order, which makes it possible to reason from a few cases to a general rule; and (c) this makes it possible to hold things together and retain order. In science, these modes of inference are referred to as falsification, induction and consistency. In morals, they have a variety of other names. Hence, even without abandoning the fact-value divide, there appear to be similarities between inference in science and inference in morals, which may encourage communication across the boundaries between "the two cultures" and which are relevant to medical humanities.

Chronic nutrient enrichment increases prevalence and severity of coral disease and bleaching.

Science.gov (United States)

Vega Thurber, Rebecca L; Burkepile, Deron E; Fuchs, Corinne; Shantz, Andrew A; McMinds, Ryan; Zaneveld, Jesse R

2014-02-01

Nutrient loading is one of the strongest drivers of marine habitat degradation. Yet, the link between nutrients and disease epizootics in marine organisms is often tenuous and supported only by correlative data. Here, we present experimental evidence that chronic nutrient exposure leads to increases in both disease prevalence and severity and coral bleaching in scleractinian corals, the major habitat-forming organisms in tropical reefs. Over 3 years, from June 2009 to June 2012, we continuously exposed areas of a coral reef to elevated levels of nitrogen and phosphorus. At the termination of the enrichment, we surveyed over 1200 scleractinian corals for signs of disease or bleaching. Siderastrea siderea corals within enrichment plots had a twofold increase in both the prevalence and severity of disease compared with corals in unenriched control plots. In addition, elevated nutrient loading increased coral bleaching; Agaricia spp. of corals exposed to nutrients suffered a 3.5-fold increase in bleaching frequency relative to control corals, providing empirical support for a hypothesized link between nutrient loading and bleaching-induced coral declines. However, 1 year later, after nutrient enrichment had been terminated for 10 months, there were no differences in coral disease or coral bleaching prevalence between the previously enriched and control treatments. Given that our experimental enrichments were well within the ranges of ambient nutrient concentrations found on many degraded reefs worldwide, these data provide strong empirical support to the idea that coastal nutrient loading is one of the major factors contributing to the increasing levels of both coral disease and coral bleaching. Yet, these data also suggest that simple improvements to water quality may be an effective way to mitigate some coral disease epizootics and the corresponding loss of coral cover in the future. © 2013 John Wiley & Sons Ltd.

Introductory statistical inference

CERN Document Server

Mukhopadhyay, Nitis

2014-01-01

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important ideas and special techniques.Beginning with a review of the basic concepts and methods in probability theory, moments, and moment generating functions, the author moves to more intricate topics. Introductory Statistical Inference studies multivariate random variables, exponential families of dist

The lung microbiome in moderate and severe chronic obstructive pulmonary disease.

Directory of Open Access Journals (Sweden)

Alexa A Pragman

Full Text Available Chronic obstructive pulmonary disease (COPD is an inflammatory disorder characterized by incompletely reversible airflow obstruction. Bacterial infection of the lower respiratory tract contributes to approximately 50% of COPD exacerbations. Even during periods of stable lung function, the lung harbors a community of bacteria, termed the microbiome. The role of the lung microbiome in the pathogenesis of COPD remains unknown. The COPD lung microbiome, like the healthy lung microbiome, appears to reflect microaspiration of oral microflora. Here we describe the COPD lung microbiome of 22 patients with Moderate or Severe COPD compared to 10 healthy control patients. The composition of the lung microbiomes was determined using 454 pyrosequencing of 16S rDNA found in bronchoalveolar lavage fluid. Sequences were analyzed using mothur, Ribosomal Database Project, Fast UniFrac, and Metastats. Our results showed a significant increase in microbial diversity with the development of COPD. The main phyla in all samples were Actinobacteria, Firmicutes, and Proteobacteria. Principal coordinate analyses demonstrated separation of control and COPD samples, but samples did not cluster based on disease severity. However, samples did cluster based on the use of inhaled corticosteroids and inhaled bronchodilators. Metastats analyses demonstrated an increased abundance of several oral bacteria in COPD samples.

Active inference, communication and hermeneutics.

Science.gov (United States)

Friston, Karl J; Frith, Christopher D

2015-07-01

Hermeneutics refers to interpretation and translation of text (typically ancient scriptures) but also applies to verbal and non-verbal communication. In a psychological setting it nicely frames the problem of inferring the intended content of a communication. In this paper, we offer a solution to the problem of neural hermeneutics based upon active inference. In active inference, action fulfils predictions about how we will behave (e.g., predicting we will speak). Crucially, these predictions can be used to predict both self and others--during speaking and listening respectively. Active inference mandates the suppression of prediction errors by updating an internal model that generates predictions--both at fast timescales (through perceptual inference) and slower timescales (through perceptual learning). If two agents adopt the same model, then--in principle--they can predict each other and minimise their mutual prediction errors. Heuristically, this ensures they are singing from the same hymn sheet. This paper builds upon recent work on active inference and communication to illustrate perceptual learning using simulated birdsongs. Our focus here is the neural hermeneutics implicit in learning, where communication facilitates long-term changes in generative models that are trying to predict each other. In other words, communication induces perceptual learning and enables others to (literally) change our minds and vice versa. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

The extremity function index (EFI), a disability severity measure for neuromuscular diseases : psychometric evaluation

NARCIS (Netherlands)

Bos, Isaac; Wynia, Klaske; Drost, Gea; Almansa, Josué; Kuks, Joannes

2017-01-01

OBJECTIVE: To adapt and to combine the self-report Upper Extremity Functional Index and Lower Extremity Function Scale, for the assessment of disability severity in patients with a neuromuscular disease and to examine its psychometric properties in order to make it suitable for indicating disease

[Clinical characteristic of patients with acute kidney injury complicated severe cardio-vascular diseases].

Science.gov (United States)

Wróbel, Paweł; Wyrwicz-Zielińska, Grażyna; Krzysztonek-Weber, Izabela; Sułowicz, Władysław

2016-01-01

Patients with cardiovascular diseases are a group of increased risk of acute kidney injury (AKI). Mortality in this group of patients with AKI, especially treated in intensive care units, is very high. The aim of this study was to evaluate the clinical characteristic of patients with AKI complicated severe cardiovascular diseases. Retrospective evaluation of 246 questionnaire of patients with AKI in the course of severe cardiovascular diseases treated in the wards of nephrological profile from the malopolska and podkarpackie voivodships in the years 2000-2011 was performed. The group of patients consisted of 157 men and 89 women, with mean age 67.9 ± 14.8 years. The most common cause of AKI were: acute decompensated heart failure--24 (9.8%), chronic decompensated heart failure--94 (38.2%), cardiac arrest--29 (11.8%), myocardial infarction--48 (19.5%), CABG--12 (4.9%), cardiac valve implantation--14 (5.7), heart transplantation--4 (1.6%) and aortic aneurysm--21 (8.5%). Age distribution of patients with AKI revealed that most numerous group had 71-80 years. The most of patients (95.9%) with AKI were treated with hemodialysis. The mortality rate in the study group was very high (69.5%). Recovery of renal function was observed in 39 (27.3%) of patients. Signs of kidney disease before AKI was noted in 116 (47.2%) of patients. Patients with severe cardiovascular complications and AKI had high mortality rate instead of performed hemodialysis treatment.

Radiographic study of severe Influenza-A (H1N1) disease in children

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Zhao Cailei, E-mail: zhaocailei197866@163.com [Department of Radiology, Shenzhen Children' s Hospital, No. 7019, Yitian Road, Futian District, Shenzhen 518026 (China); Gan Yungen, E-mail: mickeyym@yahoo.cn [Department of Radiology, Shenzhen Children' s Hospital, No. 7019, Yitian Road, Futian District, Shenzhen 518026 (China); Sun Jie, E-mail: sunxixi@21cn.com [Department of Radiology, Shenzhen Children' s Hospital, No. 7019, Yitian Road, Futian District, Shenzhen 518026 (China)

2011-09-15

Objective: To characterize the radiographic findings of pediatric patients with severe Influenza-A (H1N1) disease. Methods: A retrospective study of data from chest X-ray, CT and MRI exam of 29 pediatric patients treated in intensive care unit for severe Influenza-A (H1N1) disease. Results: Disease developed quickly at early stage. Here are four types of radiographic findings. The disease continued to progress for 2-3 days and X-ray showed that all 29 patients had increased solid lesions with the existence of interstitial lesions. Four days later, all lung lesions showed absorption to certain degree. Fifteen days later, X-ray and CT showed complete or significant absorption in 19 cases (85.5%); delayed recovery was identified in 8 cases (27.6%), pulmonary fibrosis was found in 3 cases (10.3%), and 3 patients (10.3%) died. But the latter identified more lesions. Cranial CT and MRI were performed for 8 patients who had neurological symptoms. Of them, 3 cases (10.3%) were abnormal, showed symmetrical long T1 and T2 signal shadow in bilateral thalamus and longer T1 and T2 signals in the between. 3 cases had autopsy completed. Conclusion: The severe Influenza-A (H1N1) among children progression was generally rapid in the first 3 days. The overall radiographic findings are similar to acute respiratory distress syndrome (ARDS). A small portion of the patients occurred acute necrotizing encephalopathy and plastic bronchitis.

Radiographic study of severe Influenza-A (H1N1) disease in children

International Nuclear Information System (INIS)

Zhao Cailei; Gan Yungen; Sun Jie

2011-01-01

Objective: To characterize the radiographic findings of pediatric patients with severe Influenza-A (H1N1) disease. Methods: A retrospective study of data from chest X-ray, CT and MRI exam of 29 pediatric patients treated in intensive care unit for severe Influenza-A (H1N1) disease. Results: Disease developed quickly at early stage. Here are four types of radiographic findings. The disease continued to progress for 2-3 days and X-ray showed that all 29 patients had increased solid lesions with the existence of interstitial lesions. Four days later, all lung lesions showed absorption to certain degree. Fifteen days later, X-ray and CT showed complete or significant absorption in 19 cases (85.5%); delayed recovery was identified in 8 cases (27.6%), pulmonary fibrosis was found in 3 cases (10.3%), and 3 patients (10.3%) died. But the latter identified more lesions. Cranial CT and MRI were performed for 8 patients who had neurological symptoms. Of them, 3 cases (10.3%) were abnormal, showed symmetrical long T1 and T2 signal shadow in bilateral thalamus and longer T1 and T2 signals in the between. 3 cases had autopsy completed. Conclusion: The severe Influenza-A (H1N1) among children progression was generally rapid in the first 3 days. The overall radiographic findings are similar to acute respiratory distress syndrome (ARDS). A small portion of the patients occurred acute necrotizing encephalopathy and plastic bronchitis.

Correlations of sleep disorders with severity of obstructive airway disease in mustard gas-injured patients.

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Vahedi, Ensieh; Taheri, Saeed; Alaedini, Farshid; Poursaleh, Zohreh; Ameli, Javad; Ghanei, Mostafa

2012-06-01

Mustard gas has serious adverse effects on several organs and functions in humans. In this study, we analyzed potential correlations between obstructive airway disease and sleep disorders in Iranian mustard gas-injured patients. We enrolled 30 male mustard gas-injured veterans and civilians from the Chemical Warfare Exposure Clinic at Baqiyatallah Hospital, Tehran. All the subjects underwent comprehensive polysomnographic and spirometric evaluations for diagnosis of sleep disorders. Patients were categorized into three groups according to the severity of their obstructive airway disease based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria: group 1 (GOLD I and II), group 2 (GOLD III), and group 3 (GOLD IV). Patients with less severe obstructive airway disease had significantly higher rate of hypopnea (p = 0.05) and AHI (p = 0.05). The number of REM events was significantly higher in patients with less severe airway disease (p = 0.028). Stage 1 sleep among patients with higher FEV1 significantly constituted a higher proportion of sleep, and stage 4 sleep was significantly longer in patients with higher DLCO (p = 0.043, both). We found that sleep parameters in SM-exposed patients have some relations with spirometric parameters. Future studies with large patient populations are needed for confirmation of our results, and therapeutic interventions are needed to evaluate endeavors we can do to enhance health and quality of life in our mustard gas-injured population.

New Bayesian inference method using two steps of Markov chain Monte Carlo and its application to shock tube experiment data of Furan oxidation

KAUST Repository

Kim, Daesang

2016-01-06

A new Bayesian inference method has been developed and applied to Furan shock tube experimental data for efficient statistical inferences of the Arrhenius parameters of two OH radical consumption reactions. The collected experimental data, which consist of time series signals of OH radical concentrations of 14 shock tube experiments, may require several days for MCMC computations even with the support of a fast surrogate of the combustion simulation model, while the new method reduces it to several hours by splitting the process into two steps of MCMC: the first inference of rate constants and the second inference of the Arrhenius parameters. Each step has low dimensional parameter spaces and the second step does not need the executions of the combustion simulation. Furthermore, the new approach has more flexibility in choosing the ranges of the inference parameters, and the higher speed and flexibility enable the more accurate inferences and the analyses of the propagation of errors in the measured temperatures and the alignment of the experimental time to the inference results.

Severe bronchial asthma in children: a review of novel biomarkers used as predictors of the disease

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Uwaezuoke SN

2018-01-01

Full Text Available Samuel N Uwaezuoke, Adaeze C Ayuk, Joy N Eze Department of Pediatrics, University of Nigeria Teaching Hospital, Ituku-Ozalla, Nigeria Abstract: Severe asthma or therapy-resistant asthma in children is a heterogeneous disease that affects all age-groups. Given its heterogeneity, precision in diagnosis and treatment has become imperative, in order to achieve better outcomes. If one is thus able to identify specific patient phenotypes and endotypes using the appropriate biomarkers, it will assist in providing the patient with more personalized and appropriate treatment. However, there appears to be a huge diagnostic gap in severe asthma, as there is no single test yet that accurately determines disease phenotype. In this paper, we review the published literature on some of these biomarkers and their possible role in bridging this diagnostic gap. We also highlight the cellular and molecular mechanisms involved in severe asthma, in order to show the basis for the novel biomarkers. Some markers useful for monitoring therapy and assessing airway remodeling in the disease are also discussed. A review of the literature was conducted with PubMed to gather baseline data on the subject. The literature search extended to articles published within the last 40 years. Although biomarkers specific to different severe asthma phenotypes have been identified, progress in their utility remains slow, because of several disease mechanisms, the variation of biomarkers at different levels of inflammation, changes in relying on one test over time (eg, from sputum eosinophilia to blood eosinophilia, and the degree of invasive tests required to collect biomarkers, which limits their applicability in clinical settings. In conclusion, several biomarkers remain useful in recognizing various asthma phenotypes. However, due to disease heterogeneity, identification and utilization of ideal and defined biomarkers in severe asthma are still inconclusive. The development of novel

Helminth-induced arginase-1 exacerbates lung inflammation and disease severity in tuberculosis

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Monin, Leticia; Griffiths, Kristin L.; Lam, Wing Y.; Gopal, Radha; Kang, Dongwan D.; Ahmed, Mushtaq; Rajamanickam, Anuradha; Cruz-Lagunas, Alfredo; Zúñiga, Joaquín; Babu, Subash; Kolls, Jay K.; Mitreva, Makedonka; Rosa, Bruce A.; Ramos-Payan, Rosalio; Morrison, Thomas E.; Murray, Peter J.; Rangel-Moreno, Javier; Pearce, Edward J.; Khader, Shabaana A.

2015-01-01

Parasitic helminth worms, such as Schistosoma mansoni, are endemic in regions with a high prevalence of tuberculosis (TB) among the population. Human studies suggest that helminth coinfections contribute to increased TB susceptibility and increased rates of TB reactivation. Prevailing models suggest that T helper type 2 (Th2) responses induced by helminth infection impair Th1 immune responses and thereby limit Mycobacterium tuberculosis (Mtb) control. Using a pulmonary mouse model of Mtb infection, we demonstrated that S. mansoni coinfection or immunization with S. mansoni egg antigens can reversibly impair Mtb-specific T cell responses without affecting macrophage-mediated Mtb control. Instead, S. mansoni infection resulted in accumulation of high arginase-1–expressing macrophages in the lung, which formed type 2 granulomas and exacerbated inflammation in Mtb-infected mice. Treatment of coinfected animals with an antihelminthic improved Mtb-specific Th1 responses and reduced disease severity. In a genetically diverse mouse population infected with Mtb, enhanced arginase-1 activity was associated with increased lung inflammation. Moreover, in patients with pulmonary TB, lung damage correlated with increased serum activity of arginase-1, which was elevated in TB patients coinfected with helminths. Together, our data indicate that helminth coinfection induces arginase-1–expressing type 2 granulomas, thereby increasing inflammation and TB disease severity. These results also provide insight into the mechanisms by which helminth coinfections drive increased susceptibility, disease progression, and severity in TB. PMID:26571397

Soluble CD163 is increased in patients with acute pancreatitis independent of disease severity.

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Karrasch, Thomas; Brünnler, Tanja; Hamer, Okka W; Schmid, Karin; Voelk, Markus; Herfarth, Hans; Buechler, Christa

2015-10-01

Macrophages are crucially involved in the pathophysiology of acute pancreatitis. Soluble CD163 (sCD163) is specifically released from macrophages and systemic levels are increased in inflammatory diseases. Here, sCD163 was measured in serum of 50 patients with acute pancreatitis to find out possible associations with disease activity. Admission levels of systemic sCD163 were nearly three-fold higher in patients with acute pancreatitis compared to controls. In patients sCD163 did not correlate with C-reactive protein and leukocyte count as established markers of inflammation. Levels were not associated with disease severity assessed by the Schroeder score, Balthazar score, Acute Physiology, Age, and Chronic Health Evaluation (Apache) II score and peripancreatic necrosis score. Soluble CD163 was not related to complications of acute pancreatitis. These data show that serum sCD163 is increased in acute pancreatitis indicating activation of macrophages but is not associated with disease severity and outcome. Copyright © 2015 Elsevier Inc. All rights reserved.

Median and Ulnar Neuropathy Assessment in Parkinson’s Disease regarding Symptom Severity and Asymmetry

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Nilgul Yardimci

2016-01-01

Full Text Available Background. While increasing evidence suggests comorbidity of peripheral neuropathy (PNP and Parkinson’s disease (PD, the pathogenesis of PNP in PD is still a debate. The aim of this article is to search the core PD symptoms such as rigidity and tremor as contributing factors to mononeuropathy development while emphasizing each individual patient’s asymmetric symptom severity. Methods. We studied 62 wrists and 62 elbows of 31 patients (mean age 66.48±10.67 and 64 wrists and 64 elbows of 32 age-gender matched healthy controls (mean age 62.03±10.40, p=0.145. The Hoehn and Yahr disability scale and Unified Parkinson’s Disease Rated Scale were used to determine the severity of the disease. Results. According to electrodiagnostic criteria, we confirmed median neuropathy in 16.12% (bilateral in two-thirds of the patients and ulnar neuropathy in 3.22% of the PD group. While mean age (p=0.003, age at PD onset (p=0.019, and H&Y scores (p=0.016 were significant, tremor and rigidity scores were not. The comparison of the mean indices of electrophysiologic parameters indicated subclinical median and ulnar nerve demyelination both at the wrist and at the elbow in the patient groups where a longer disease duration and mild tremor and rigidity scores are prominent, remarkably. Conclusion. A disease related peripheral neurodegeneration beyond symptom severity occurs in PD.

Optimization methods for logical inference

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Chandru, Vijay

2011-01-01

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though ""solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks. . . it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs."" Presenting powerful, proven optimization techniques for logic in

Use of an adaptive neuro-fuzzy inference system to obtain the correspondence among balance, gait, and depression for Parkinson's disease

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Woo, Youngkeun; Lee, Juwon; Hwang, Sujin; Hong, Cheol Pyo

2013-03-01

The purpose of this study was to investigate the associations between gait performance, postural stability, and depression in patients with Parkinson's disease (PD) by using an adaptive neuro-fuzzy inference system (ANFIS). Twenty-two idiopathic PD patients were assessed during outpatient physical therapy by using three clinical tests: the Berg balance scale (BBS), Dynamic gait index (DGI), and Geriatric depression scale (GDS). Scores were determined from clinical observation and patient interviews, and associations among gait performance, postural stability, and depression in this PD population were evaluated. The DGI showed significant positive correlation with the BBS scores, and negative correlation with the GDS score. We assessed the relationship between the BBS score and the DGI results by using a multiple regression analysis. In this case, the GDS score was not significantly associated with the DGI, but the BBS and DGI results were. Strikingly, the ANFIS-estimated value of the DGI, based on the BBS and the GDS scores, significantly correlated with the walking ability determined by using the DGI in patients with Parkinson's disease. These findings suggest that the ANFIS techniques effectively reflect and explain the multidirectional phenomena or conditions of gait performance in patients with PD.

EI: A Program for Ecological Inference

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Gary King

2004-09-01

Full Text Available The program EI provides a method of inferring individual behavior from aggregate data. It implements the statistical procedures, diagnostics, and graphics from the book A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data (King 1997. Ecological inference, as traditionally defined, is the process of using aggregate (i.e., "ecological" data to infer discrete individual-level relationships of interest when individual-level data are not available. Ecological inferences are required in political science research when individual-level surveys are unavailable (e.g., local or comparative electoral politics, unreliable (racial politics, insufficient (political geography, or infeasible (political history. They are also required in numerous areas of ma jor significance in public policy (e.g., for applying the Voting Rights Act and other academic disciplines ranging from epidemiology and marketing to sociology and quantitative history.

Impact of Disease Severity, Illness Beliefs, and Coping Strategies on Outcomes in Psoriatic Arthritis.

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Howells, Laura; Chisholm, Anna; Cotterill, Sarah; Chinoy, Hector; Warren, Richard B; Bundy, Christine

2018-02-01

Little is known about how people with psoriatic arthritis (PsA) cope with and manage their condition, but data show that psychological problems are underrecognized and undertreated. The Common Sense Self-Regulatory Model (CS-SRM) suggests illness beliefs, mediated by coping, may influence health outcomes. The study aimed to investigate the roles of disease severity, illness beliefs, and coping strategies in predicting depression, anxiety, and quality of life (QoL) in people with PsA. Additionally, we aimed to assess the role of depression and anxiety in predicting QoL. We conducted a cross-sectional observational study, where adults with PsA (n = 179) completed validated measures of predictor (illness beliefs, coping strategies, disease severity) and outcome variables (depression, anxiety, QoL) using an online survey distributed via social media. The participants were a community sample of 179 adults with PsA, ages 20 to 72 years (77.1% female). After controlling for disease severity, hierarchical multiple regression models indicated that more negative beliefs about consequences and behavioral disengagement as a coping method predicted levels of depression, and self-blame predicted anxiety. Beliefs about consequences and the presence of depression predicted quality of life scores after controlling for disease severity. This study offers support for the use of the CS-SRM in explaining variation on psychological outcomes in individuals with PsA. The illness beliefs and coping strategies identified as predictors in this article are potential targets for interventions addressing PsA-related distress and QoL. © 2017, American College of Rheumatology.

What predicts depression in cardiac patients: Sociodemographic factors, disease severity or theoretical vulnerabilities?

OpenAIRE

Doyle, Frank; McGee, Hannah; Conroy, Ronán; Delaney, Mary

2011-01-01

Depression is associated with increased cardiovascular risk in patients with acute coronary syndrome (ACS), but some argue that elevated depression is actually a marker of cardiovascular disease severity. Therefore, disease indices should be better predictors of depression than established theoretical causes of depression (interpersonal life events, reinforcing events, cognitive distortions, type D personality). However, little theory-based research has been conducted in this area. In a cross...

Disease severity in patients with visceral leishmaniasis is not altered by co-infection with intestinal parasites.

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Tajebe, Fitsumbrhan; Getahun, Mulusew; Adem, Emebet; Hailu, Asrat; Lemma, Mulualem; Fikre, Helina; Raynes, John; Tamiru, Aschalew; Mulugeta, Zemenay; Diro, Ermias; Toulza, Frederic; Shkedy, Ziv; Ayele, Tadesse; Modolell, Manuel; Munder, Markus; Müller, Ingrid; Takele, Yegnasew; Kropf, Pascale

2017-07-01

Visceral leishmaniasis (VL) is a neglected tropical disease that affects the poorest communities and can cause substantial morbidity and mortality. Visceral leishmaniasis is characterized by the presence of Leishmania parasites in the spleen, liver and bone marrow, hepatosplenomegaly, pancytopenia, prolonged fever, systemic inflammation and low body mass index (BMI). The factors impacting on the severity of VL are poorly characterized. Here we performed a cross-sectional study to assess whether co-infection of VL patients with intestinal parasites influences disease severity, assessed with clinical and haematological data, inflammation, cytokine profiles and BMI. Data from VL patients was similar to VL patients co-infected with intestinal parasites, suggesting that co-infection of VL patients with intestinal parasites does not alter disease severity.

Disease severity in patients with visceral leishmaniasis is not altered by co-infection with intestinal parasites

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Adem, Emebet; Hailu, Asrat; Lemma, Mulualem; Fikre, Helina; Raynes, John; Tamiru, Aschalew; Mulugeta, Zemenay; Diro, Ermias; Toulza, Frederic; Shkedy, Ziv; Ayele, Tadesse; Modolell, Manuel; Munder, Markus; Müller, Ingrid; Takele, Yegnasew

2017-01-01

Visceral leishmaniasis (VL) is a neglected tropical disease that affects the poorest communities and can cause substantial morbidity and mortality. Visceral leishmaniasis is characterized by the presence of Leishmania parasites in the spleen, liver and bone marrow, hepatosplenomegaly, pancytopenia, prolonged fever, systemic inflammation and low body mass index (BMI). The factors impacting on the severity of VL are poorly characterized. Here we performed a cross-sectional study to assess whether co-infection of VL patients with intestinal parasites influences disease severity, assessed with clinical and haematological data, inflammation, cytokine profiles and BMI. Data from VL patients was similar to VL patients co-infected with intestinal parasites, suggesting that co-infection of VL patients with intestinal parasites does not alter disease severity. PMID:28732017

Transient hypoxic respiratory failure in a patient with severe hypophosphatemia.

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Oud, Lavi

2009-03-01

Respiratory failure in severely hypophosphatemic patients has been attributed to respiratory muscle weakness, leading to ventilatory failure. While frequently documenting hypercarbic respiratory failure, previous reports of hypophosphatemia-related respiratory failure in patients otherwise free of pulmonary or airway disease often did not provide sufficient information on gas exchange and pulmonary function, precluding inference on alternative or additional sources of respiratory dysfunction in this population. We report a case of acute hypoxic respiratory failure in a 26 year-old bulimic woman with severe hypophosphatemia. The patient presented with acute onset of dyspnea, paresthesias, limb shaking, and severe hyperventilation. SpO2 was 74%, requiring administration of 100% O2, with normal chest radiograph. Serum phosphate was <0.3 mmol/liter (1.0 mg/dL). Further evaluation did not support pulmonary, vascular, neurogenic or external exposure-related causes of hypoxic respiratory failure, which rapidly resolved with parenteral correction of hypophosphatemia. To date, hypoxic respiratory failure has not been reported in association with hypophosphatemia. Increased awareness and further investigations can help elucidate the mechanisms of hypophosphatemia-associated hypoxemia.

Serum parameters predict the severity of ultrasonographicifndingsinnon-alcoholic fatty liver disease

Institute of Scientific and Technical Information of China (English)

Mohsen Razavizade; Raika Jamali; Abbas Arj; Hamidreza Talari

2012-01-01

BACKGROUND: Controversy exists about the correlation between liver ultrasonography and serum parameters for evaluating the severity of liver involvement in non-alcoholic fatty liver disease (NAFLD). This study was designed to determine the association between liver ultrasonography staging in NAFLD and serum parameters correlated with disease severity in previous studies; and set optimal cut-off points for those serum parameters correlated with NAFLD staging at ultrasonography, in order to differentiate ultrasonographic groups (USGs). METHODS: This cross-sectional study evaluated outpatients with evidence of NAFLD in ultrasonography referred to a general hospital. Those with positive viral markers, abnormal serum ceruloplasmin or gamma-globulin concentrations were excluded. A radiologist performed the ultrasonography staging and stratiifed the patients into mild, moderate, and severe groups. Fasting serum alanine aminotransferase (ALT), aspartate aminotransferase, alkaline phosphatase, triglyceride (TG), high and low density lipoprotein (HDL, LDL), and cholesterol were checked. RESULTS:Two hundred and forty-ifve patients with a mean age (±standard deviation) of 41.63(±11.46) years were included. There were no signiifcant differences when mean laboratory concentrations were compared between moderate and severe USGs. Therefore, these groups were combined to create revised USGs ("mild"versus"moderate or severe"). There were associations between the revised USGs, and ALT, TG, HDL levels, and diabetes mellitus [odds ratios=2.81 (95%conifdence interval (CI):1.37-5.76), 2.48 (95%CI:1.29-4.78), 0.36 (95%CI:0.18-0.74), and 5.65 (95%CI:2.86-11.16) respectively;all P values CONCLUSIONS: Serum ALT, TG, and HDL concentrations seem to be associated with the staging by liver ultrasonography in NAFLD. They might be used to predict the staging of liver ultrasonography in these patients.

Dynamic Neuro-Cognitive Imagery Improves Mental Imagery Ability, Disease Severity, and Motor and Cognitive Functions in People with Parkinson’s Disease

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Amit Abraham

2018-01-01

Full Text Available People with Parkinson’s disease (PD experience kinesthetic deficits, which affect motor and nonmotor functions, including mental imagery. Imagery training is a recommended, yet underresearched, approach in PD rehabilitation. Dynamic Neuro-Cognitive Imagery (DNI™ is a codified method for imagery training. Twenty subjects with idiopathic PD (Hoehn and Yahr stages I–III were randomly allocated into DNI training (experimental; n=10 or in-home learning and exercise program (control; n=10. Both groups completed at least 16 hours of training within two weeks. DNI training focused on anatomical embodiment and kinesthetic awareness. Imagery abilities, disease severity, and motor and nonmotor functions were assessed pre- and postintervention. The DNI participants improved (p<.05 in mental imagery abilities, disease severity, and motor and spatial cognitive functions. Participants also reported improvements in balance, walking, mood, and coordination, and they were more physically active. Both groups strongly agreed they enjoyed their program and were more mentally active. DNI training is a promising rehabilitation method for improving imagery ability, disease severity, and motor and nonmotor functions in people with PD. This training might serve as a complementary PD therapeutic approach. Future studies should explore the effect of DNI on motor learning and control strategies.

Ethnicity influences disease characteristics and symptom severity in allergic rhinitis patients in Malaysia.

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Amini, Peyman; Abdullah, Maha; Seng, Lee Sing; Karunakaran, Thanusha; Hani, Norzhafarina; Bakar, Saraiza Abu; Latiff, Amir Hamzah Abdul; Fong, Seow Heng; Yeow, Yap Yoke

2016-06-01

The number of available reports regarding the influence of ethnicity on clinical features of allergic rhinitis (AR), especially disease severity in tropical climates, is limited. We aimed to compare clinical parameters and disease severity in AR patients of different ethnicities. Malay, Chinese, and Indian AR patients (n = 138) with confirmed sensitivity to Dermatophagoides pteronyssinus, Dematophagoides farinae, and Blomia tropicalis were tested for mite-specific immunoglobulin E (sIgE) levels. A detailed questionnaire was used to collect data on nasal symptom score (NSS), ocular symptom score (OSS), sum of symptoms score (SSS), quality of life score (QLS), symptomatic control score (SCS), and total sum of scores (TSS) and correlate the derived data with patients' demography, mite-polysensitivity, and sIgE levels. AR-related symptoms were most severe in Malays and least in Chinese (p Chinese. Duration of concurrent allergies was highest in Malays (p Chinese but correlated strongly with NSS, OSS, SSS, and TSS (r = 0408 to 0.898, p Chinese. © 2016 ARS-AAOA, LLC.

Divorce and Severity of Coronary Artery Disease: A Multicenter Study

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Amin Daoulah

2017-01-01

Full Text Available The association between marital status and coronary artery disease (CAD is supported by numerous epidemiological studies. While divorce may have an adverse effect on cardiac outcomes, the relationship between divorce and severe CAD is unclear. We conducted a multicenter, observational study of consecutive patients undergoing coronary angiography during the period between April 1, 2013, and March 30, 2014. Of 1,068 patients, 124 (12% were divorced. Divorce was more frequent among women (27% compared to men (6%. Most divorced patients had been divorced only once (49%, but a subset had been divorced 2 (38% or ≥3 (12% times. After adjusting for baseline differences, there was no significant association between divorce and severe CAD in men. In women, there was a significant adjusted association between divorce and severe MVD (OR 2.31 [1.16, 4.59] or LMD (OR 5.91 [2.19, 15.99]. The modification of the association between divorce and severe CAD by gender was statistically significant for severe LMD (Pinteraction 0.0008 and marginally significant for CAD (Pinteraction 0.05. Among women, there was a significant adjusted association between number of divorces and severe CAD (OR 2.4 [95% CI 1.2, 4.5], MVD (OR 2.0 [95% CI 1.4, 3.0], and LMD (OR 3.4 [95% CI 1.9, 5.9]. In conclusion, divorce, particularly multiple divorces, is associated with severe CAD, MVD, and LMD in women but not in men.

Detection of multiple damages employing best achievable eigenvectors under Bayesian inference

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Prajapat, Kanta; Ray-Chaudhuri, Samit

2018-05-01

A novel approach is presented in this work to localize simultaneously multiple damaged elements in a structure along with the estimation of damage severity for each of the damaged elements. For detection of damaged elements, a best achievable eigenvector based formulation has been derived. To deal with noisy data, Bayesian inference is employed in the formulation wherein the likelihood of the Bayesian algorithm is formed on the basis of errors between the best achievable eigenvectors and the measured modes. In this approach, the most probable damage locations are evaluated under Bayesian inference by generating combinations of various possible damaged elements. Once damage locations are identified, damage severities are estimated using a Bayesian inference Markov chain Monte Carlo simulation. The efficiency of the proposed approach has been demonstrated by carrying out a numerical study involving a 12-story shear building. It has been found from this study that damage scenarios involving as low as 10% loss of stiffness in multiple elements are accurately determined (localized and severities quantified) even when 2% noise contaminated modal data are utilized. Further, this study introduces a term parameter impact (evaluated based on sensitivity of modal parameters towards structural parameters) to decide the suitability of selecting a particular mode, if some idea about the damaged elements are available. It has been demonstrated here that the accuracy and efficiency of the Bayesian quantification algorithm increases if damage localization is carried out a-priori. An experimental study involving a laboratory scale shear building and different stiffness modification scenarios shows that the proposed approach is efficient enough to localize the stories with stiffness modification.

On the criticality of inferred models

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Mastromatteo, Iacopo; Marsili, Matteo

2011-10-01

Advanced inference techniques allow one to reconstruct a pattern of interaction from high dimensional data sets, from probing simultaneously thousands of units of extended systems—such as cells, neural tissues and financial markets. We focus here on the statistical properties of inferred models and argue that inference procedures are likely to yield models which are close to singular values of parameters, akin to critical points in physics where phase transitions occur. These are points where the response of physical systems to external perturbations, as measured by the susceptibility, is very large and diverges in the limit of infinite size. We show that the reparameterization invariant metrics in the space of probability distributions of these models (the Fisher information) are directly related to the susceptibility of the inferred model. As a result, distinguishable models tend to accumulate close to critical points, where the susceptibility diverges in infinite systems. This region is the one where the estimate of inferred parameters is most stable. In order to illustrate these points, we discuss inference of interacting point processes with application to financial data and show that sensible choices of observation time scales naturally yield models which are close to criticality.

On the criticality of inferred models

International Nuclear Information System (INIS)

Mastromatteo, Iacopo; Marsili, Matteo

2011-01-01

Advanced inference techniques allow one to reconstruct a pattern of interaction from high dimensional data sets, from probing simultaneously thousands of units of extended systems—such as cells, neural tissues and financial markets. We focus here on the statistical properties of inferred models and argue that inference procedures are likely to yield models which are close to singular values of parameters, akin to critical points in physics where phase transitions occur. These are points where the response of physical systems to external perturbations, as measured by the susceptibility, is very large and diverges in the limit of infinite size. We show that the reparameterization invariant metrics in the space of probability distributions of these models (the Fisher information) are directly related to the susceptibility of the inferred model. As a result, distinguishable models tend to accumulate close to critical points, where the susceptibility diverges in infinite systems. This region is the one where the estimate of inferred parameters is most stable. In order to illustrate these points, we discuss inference of interacting point processes with application to financial data and show that sensible choices of observation time scales naturally yield models which are close to criticality

An Inference Language for Imaging

DEFF Research Database (Denmark)

Pedemonte, Stefano; Catana, Ciprian; Van Leemput, Koen

2014-01-01

We introduce iLang, a language and software framework for probabilistic inference. The iLang framework enables the definition of directed and undirected probabilistic graphical models and the automated synthesis of high performance inference algorithms for imaging applications. The iLang framewor...

Parkinson’s Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline

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Alba Ayala

2017-10-01

Full Text Available ObjectiveThe aim of this study is to present a predictive model of Parkinson’s disease (PD global severity, measured with the Clinical Impression of Severity Index for Parkinson’s Disease (CISI-PD.MethodsThis is an observational, longitudinal study with annual follow-up assessments over 3 years (four time points. A multilevel analysis and multiple imputation techniques were performed to generate a predictive model that estimates changes in the CISI-PD at 1, 2, and 3 years.ResultsThe clinical state of patients (CISI-PD significantly worsened in the 3-year follow-up. However, this change was of small magnitude (effect size: 0.44. The following baseline variables were significant predictors of the global severity change: baseline global severity of disease, levodopa equivalent dose, depression and anxiety symptoms, autonomic dysfunction, and cognitive state. The goodness-of-fit of the model was adequate, and the sensitive analysis showed that the data imputation method applied was suitable.ConclusionDisease progression depends more on the individual’s baseline characteristics than on the 3-year time period. Results may contribute to a better understanding of the evolution of PD including the non-motor manifestations of the disease.

Low nutrient intake among adult women and patients with severe tuberculosis disease in Uganda: a cross-sectional study

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Mupere Ezekiel

2012-12-01

Full Text Available Abstract Background Information regarding dietary nutrient intake during tuberculosis disease is lacking. We established the relationship between disease severity or wasting during pulmonary tuberculosis and nutrient intake. Methods In a cross-sectional study of 131 adults with or without pulmonary tuberculosis were screened for human immune-deficiency virus (HIV, wasting, disease severity using 13 item validated clinical TBscore, and 24-hour dietary intake recall. Results Of the 131 participants, 61 were males and 70 females. Overall men and women had similar age. In average 24-hour nutrient intake, the following nutrients: energy, protein, total fat, carbohydrate, calcium, vitamin A, and folate were low among patients with severe tuberculosis disease. Patients with moderate-to-severe clinical TBscore had lower average energy intake than patients with mild TBscores (6.11 vs. 9.27 MJ, respectively (p Conclusions Findings suggest that severity of pulmonary tuberculosis and female gender had reduced nutrient intake. Early tuberculosis diagnosis and nutritional support may be important in management of tuberculosis patients.

Effects analysis fuzzy inference system in nuclear problems using approximate reasoning

International Nuclear Information System (INIS)

Guimaraes, Antonio C.F.; Franklin Lapa, Celso Marcelo

2004-01-01

In this paper a fuzzy inference system modeling technique applied on failure mode and effects analysis (FMEA) is introduced in reactor nuclear problems. This method uses the concept of a pure fuzzy logic system to treat the traditional FMEA parameters: probabilities of occurrence, severity and detection. The auxiliary feed-water system of a typical two-loop pressurized water reactor (PWR) was used as practical example in this analysis. The kernel result is the conceptual confrontation among the traditional risk priority number (RPN) and the fuzzy risk priority number (FRPN) obtained from experts opinion. The set of results demonstrated the great potential of the inference system and advantage of the gray approach in this class of problems

Statistics for nuclear engineers and scientists. Part 1. Basic statistical inference

Energy Technology Data Exchange (ETDEWEB)

Beggs, W.J.

1981-02-01

This report is intended for the use of engineers and scientists working in the nuclear industry, especially at the Bettis Atomic Power Laboratory. It serves as the basis for several Bettis in-house statistics courses. The objectives of the report are to introduce the reader to the language and concepts of statistics and to provide a basic set of techniques to apply to problems of the collection and analysis of data. Part 1 covers subjects of basic inference. The subjects include: descriptive statistics; probability; simple inference for normally distributed populations, and for non-normal populations as well; comparison of two populations; the analysis of variance; quality control procedures; and linear regression analysis.

Relationship between aortic valve calcification and the severity of coronary atherosclerotic disease.

Science.gov (United States)

Qian, Juying; Chen, Zhangwei; Ge, Junbo; Ma, Jianying; Chang, Shufu; Fan, Bing; Liu, Xuebo; Ge, Lei

2010-07-01

Aortic valve calcification (AVC), which has been confirmed to be associated with various risk factors of cardiac disease, is common in the elderly and associated with increased cardiovascular mortality. It has been hypothesized that AVC is associated with coronary atherosclerotic disease, and its severity. Between July 2007 and November 2007, a total of 235 patients with chest pain or chest distress were admitted to the authors' institution for coronary angiography. The severity of coronary atherosclerotic disease (CAD) was evaluated by the Gensini score, the number of stenosed vessels, and the prevalence of total occlusion. All patients underwent transthoracic echocardiography to detect AVC. Patients with CAD had a higher prevalence of AVC than those without CAD (44% versus 26%, p = 0.005). Likewise, the prevalence of AVC was significantly higher in patients with a higher Gensini score than in those with a lower score. Patients with AVC had a higher prevalence of CAD, and higher Gensini scores and numbers of stenosed coronary arteries, even after stratification by age (65 years). On multivariable logistic regression analysis for CAD, the odds ratio (OR) of AVC was 2.315 (95% confidence interval (CI): 1.158-4.629, p = 0.018); this value was higher than that for total cholesterol (OR = 1.637, p = 0.008), lipoprotein-a (OR = 1.003, p = 0.015) and fibrinogen (OR = 1.009, p = 0.006), and marginally less than that for male gender (OR = 2.665, p = 0.005). Patients with AVC had a higher prevalence and greater severity of CAD.

Inference

DEFF Research Database (Denmark)

Møller, Jesper

2010-01-01

Chapter 9: This contribution concerns statistical inference for parametric models used in stochastic geometry and based on quick and simple simulation free procedures as well as more comprehensive methods based on a maximum likelihood or Bayesian approach combined with markov chain Monte Carlo...... (MCMC) techniques. Due to space limitations the focus is on spatial point processes....

Association of heart rate profile during exercise with the severity of coronary artery disease.

Science.gov (United States)

Cay, Serkan; Ozturk, Sezgin; Biyikoglu, Funda; Yildiz, Abdulkadir; Cimen, Tolga; Uygur, Belma; Tuna, Funda

2009-05-01

Coronary artery disease is the leading cause of morbidity and mortality around the world. Autonomic nervous system abnormalities are associated with coronary artery disease and its complications. Exercise stress tests are routinely used for the detection of the presence of coronary artery disease. In this study, we observed the association between heart rate profile during exercise and the severity of coronary artery disease. One hundred and sixty patients with abnormal exercise treadmill test (> or =1 mm horizontal or downsloping ST-segment depression; 119 men, 41 women; mean age = 57 +/- 9 years) were included in the study. Use of any drug affecting heart rate was not permitted. Resting heart rate before exercise, maximum heart rate during exercise, and resting heart rate after exercise (5 min later) were measured and two parameters were calculated: heart rate increment (maximum heart rate - resting heart rate before exercise) and heart rate decrement (maximum heart rate - resting heart rate after exercise). All patients underwent selective coronary angiography and subclassified into two groups according to stenotic lesion severity. Group 1 had at least 50% of stenotic lesion and group 2 had less than 50%. Patients in the first group had increased resting heart rate, decreased maximum heart rate, decreased heart rate increment, and decreased heart rate decrement compared with second group. All patients were classified into tertiles of resting heart rate, heart rate increment, and heart rate decrement level to evaluate whether these parameters were associated with severity of coronary artery stenosis in the study. The multiple-adjusted odds ratio of the risk of severe coronary atherosclerosis was 21.888 (95% confidence interval 6.983-68.606) for the highest tertile of resting heart rate level compared with the lowest tertile. In addition, the multiple-adjusted odds ratio of the risk of severe coronary atherosclerosis was 20.987 (95% confidence interval 6

Feature Inference Learning and Eyetracking

Science.gov (United States)

Rehder, Bob; Colner, Robert M.; Hoffman, Aaron B.

2009-01-01

Besides traditional supervised classification learning, people can learn categories by inferring the missing features of category members. It has been proposed that feature inference learning promotes learning a category's internal structure (e.g., its typical features and interfeature correlations) whereas classification promotes the learning of…

Blood group does not correlate with disease severity in patients with Fabry disease (alpha-galactosidase A deficiency)

NARCIS (Netherlands)

Linthorst, Gabor E.; Folman, Claudia C.; Aerts, Johannes M. F. G.; Hollak, Carla E. M.

2003-01-01

Blood groups B and P1 are substrates for the lysosomal enzyme alpha-galactosidase A. Therefore, patients with alpha-Gal A deficiency and blood groups B or P1 may exhibit more severe disease. In 48 Fabry patients distribution of blood group was not different from that in the Dutch population. No

OAS1: a multiple sclerosis susceptibility gene that influences disease severity.

LENUS (Irish Health Repository)

O'Brien, M

2012-02-01

BACKGROUND: Type 1 interferons upregulate oligoadenylate synthetase 1 (OAS1). A single nucleotide polymorphism (SNP) in exon 7 of OAS1 results in differential RNAseL enzyme activity, the A allele coding for a truncated form with low activity and the G conferring high activity. We hypothesized that OAS1 genotypes would influence both susceptibility to multiple sclerosis (MS) and disease activity with the AA genotype being overrepresented and the GG genotype underrepresented in relapsing-remitting MS (RRMS) with increased disease activity. METHODS: We examined OAS1 genotype distribution in 401 patients with MS, 394 healthy controls, and 178 patients with RRMS receiving interferon-beta (IFNbeta) assessed as 1) having no or minimal disease activity on IFNbeta, 2) having disease activity despite IFNbeta, and 3) 65 patients with RRMS with highly active disease. RESULTS: The OAS1 genotype distribution differed between patients with MS and controls (p = 0.000003), with lower frequency of GG homozygotes in patients with MS (6%) compared with controls (17%). In relation to disease severity, 34 (32%) patients with no or minimal disease activity on IFNbeta had the AA and 8 (8%) the GG genotype; of patients with disease activity despite IFNbeta, 27 (51%) were AA, while only 1 (2%) was GG (p = 0.03). Median time to first relapse on IFNbeta was 24 months in patients with RRMS with AA genotype and 33 months with AG or GG genotype (p = 0.04). The GG genotype was absent in 65 patients with highly active RRMS (p = 0.03). CONCLUSIONS: A functional OAS1 SNP, AA genotype, confers susceptibility to MS and the GG genotype may protect against increased disease activity.

Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysis.

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Francisco J Fraga

Full Text Available Changes in electroencephalography (EEG amplitude modulations have recently been linked with early-stage Alzheimer's disease (AD. Existing tools available to perform such analysis (e.g., detrended fluctuation analysis, however, provide limited gains in discriminability power over traditional spectral based EEG analysis. In this paper, we explore the use of an innovative EEG amplitude modulation analysis technique based on spectro-temporal signal processing. More specifically, full-band EEG signals are first decomposed into the five well-known frequency bands and the envelopes are then extracted via a Hilbert transform. Each of the five envelopes are further decomposed into four so-called modulation bands, which were chosen to coincide with the delta, theta, alpha and beta frequency bands. Experiments on a resting-awake EEG dataset collected from 76 participants (27 healthy controls, 27 diagnosed with mild-AD, and 22 with moderate-AD showed significant differences in amplitude modulations between the three groups. Most notably, i delta modulation of the beta frequency band disappeared with an increase in disease severity (from mild to moderate AD, ii delta modulation of the theta band appeared with an increase in severity, and iii delta modulation of the beta frequency band showed to be a reliable discriminant feature between healthy controls and mild-AD patients. Taken together, it is hoped that the developed tool can be used to assist clinicians not only with early detection of Alzheimer's disease, but also to monitor its progression.

Small particle aerosol inoculation of cowpox Brighton Red in rhesus monkeys results in a severe respiratory disease

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Johnson, Reed F. [Emerging Viral Pathogens Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702 (United States); Hammoud, Dima A. [Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892 (United States); Lackemeyer, Matthew G.; Yellayi, Srikanth [Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702 (United States); Solomon, Jeffrey [Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892 (United States); Bohannon, Jordan K.; Janosko, Krisztina B.; Jett, Catherine; Cooper, Kurt [Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702 (United States); Blaney, Joseph E. [Office of the Scientific Director, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892 (United States); Jahrling, Peter B. [Emerging Viral Pathogens Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702 (United States); Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702 (United States)

2015-07-15

Cowpox virus (CPXV) inoculation of nonhuman primates (NHPs) has been suggested as an alternate model for smallpox (Kramski et al., 2010, PLoS One, 5, e10412). Previously, we have demonstrated that intrabronchial inoculation of CPXV-Brighton Red (CPXV-BR) into cynomolgus monkeys resulted in a disease that shared many similarities to smallpox; however, severe respiratory tract disease was observed (Smith et al., 2011, J. Gen. Virol.). Here we describe the course of disease after small particle aerosol exposure of rhesus monkeys using computed tomography (CT) to monitor respiratory disease progression. Subjects developed a severe respiratory disease that was uniformly lethal at 5.7 log{sub 10} PFU of CPXV-BR. CT indicated changes in lung architecture that correlated with changes in peripheral blood monocytes and peripheral oxygen saturation. While the small particle aerosol inoculation route does not accurately mimic human smallpox, the data suggest that CT can be used as a tool to monitor real-time disease progression for evaluation of animal models for human diseases. - Highlights: • Small particle aerosol exposure of rhesus results in a severe respiratory disease. • CT findings correlated with peripheral oxygen saturation and monocyte increases. • Virus dissemination was limited and mainly confined to the respiratory tract. • CT provides insight into pathogenesis to aid development of animal models of disease.

Small particle aerosol inoculation of cowpox Brighton Red in rhesus monkeys results in a severe respiratory disease

International Nuclear Information System (INIS)

Johnson, Reed F.; Hammoud, Dima A.; Lackemeyer, Matthew G.; Yellayi, Srikanth; Solomon, Jeffrey; Bohannon, Jordan K.; Janosko, Krisztina B.; Jett, Catherine; Cooper, Kurt; Blaney, Joseph E.; Jahrling, Peter B.

2015-01-01

Cowpox virus (CPXV) inoculation of nonhuman primates (NHPs) has been suggested as an alternate model for smallpox (Kramski et al., 2010, PLoS One, 5, e10412). Previously, we have demonstrated that intrabronchial inoculation of CPXV-Brighton Red (CPXV-BR) into cynomolgus monkeys resulted in a disease that shared many similarities to smallpox; however, severe respiratory tract disease was observed (Smith et al., 2011, J. Gen. Virol.). Here we describe the course of disease after small particle aerosol exposure of rhesus monkeys using computed tomography (CT) to monitor respiratory disease progression. Subjects developed a severe respiratory disease that was uniformly lethal at 5.7 log 10 PFU of CPXV-BR. CT indicated changes in lung architecture that correlated with changes in peripheral blood monocytes and peripheral oxygen saturation. While the small particle aerosol inoculation route does not accurately mimic human smallpox, the data suggest that CT can be used as a tool to monitor real-time disease progression for evaluation of animal models for human diseases. - Highlights: • Small particle aerosol exposure of rhesus results in a severe respiratory disease. • CT findings correlated with peripheral oxygen saturation and monocyte increases. • Virus dissemination was limited and mainly confined to the respiratory tract. • CT provides insight into pathogenesis to aid development of animal models of disease

Factors that influence fatigue status in patients with severe rheumatoid arthritis (RA) and good disease outcome following 6 months of TNF inhibitor therapy: a comparative analysis.

LENUS (Irish Health Repository)

Minnock, Patricia

2015-11-01

The objective of the present study is to determine the factors associated with persistent fatigue in patients with severe rheumatoid arthritis (RA) and good disease response to 6 months of tumour necrosis factor inhibitor therapy. Eligible patients with either persistent (PF) or no fatigue (NF) were compared. Using validated questionnaires and bivariate analysis, this cross-sectional survey explored if clinical characteristics, pain, self-efficacy, sleep and mood\\/depression differed between groups. Patients with PF (PF; NF) (n = 28; 28) reported significantly more overall pain (11.3 ± 9.4 (0-33); 6.9 ± 8.9 (0-33)), more recent and current pain intensity (41.4 ± 26.6 (0-80) 24.4 ± 26.6 (0-100) and depression (11.8 ± 7.5 (1-35); 8.2 ± 6.6 (0-26)), than the NF group. There was no significant difference between groups in self-efficacy and both groups experienced poor sleep quality (Pittsburgh Sleep Quality Index >5). Despite having good disease response, the PF group had significantly higher rheumatoid factor incidence, disease activity score-28, early morning stiffness duration and lower incidence of ever-failing disease-modifying anti-rheumatic drugs than the NF group. These findings enhance the fatigue literature in patients with RA prescribed tumour necrosis factor (TNF) inhibition therapy, identifying the potentially modifiable factors of pain and depression, previously demonstrated to be strongly associated with fatigue in non-biologic populations. In addition, this study highlights the association between persistent fatigue and an on-going state of low disease activity. This infers that more judicious disease management could minimise the symptom burden of pain and depression and consequentially fatigue.

An Estimate of Severe and Chronic Fungal Diseases in the Republic of Kazakhstan

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Vadim M. Kemaykin

2018-03-01

Full Text Available Our work aimed to generate a preliminary estimation of severe and chronic fungal diseases in the Republic of Kazakhstan with a model proposed by LIFE (Leading International Fungal Education. Calculations were carried out on data from 2015. Published results of studies of mycoses in Kazakhstan were identified; in the absence of national data from the scientific literature, the frequency of life-threatening and serious mycoses in defined groups of patients at risk from other countries were taken into account. We also used analogous estimations of mycoses in the Russian Federation. We estimate that 300,824 patients (1.7% of the population were affected by severe and chronic mycotic diseases. There were an estimated 15,172 cases of acute mycoses, notably tinea capitis in children (11,847, Pneumocystis pneumonia and invasive candidiasis, and 285,652 of chronic fungal diseases. The most frequent were chronic recurrent vulvovaginal candidiasis (273,258 cases and chronic pulmonary aspergillosis (6231. There is uncertainty about the prevalence of asthma in adults; the official number is 12,478 patients, but a prevalence estimate of 1.47% from a WHO consortium yields a prevalence of ~170,000 affected. We have used the official figures to generate the prevalence of fungal asthma, but it is likely to be a significant underestimate. Conclusion: Results of investigation indicate significant prevalence of severe and chronic mycoses in the Republic of Kazakhstan.

Murmur intensity in adult dogs with pulmonic and subaortic stenosis reflects disease severity.

Science.gov (United States)

Caivano, D; Dickson, D; Martin, M; Rishniw, M

2018-03-01

The aims of this study were to determine whether murmur intensity in adult dogs with pulmonic stenosis or subaortic stenosis reflects echocardiographic disease severity and to determine whether a six-level murmur grading scheme provides clinical advantages over a four-level scheme. In this retrospective multi-investigator study on adult dogs with pulmonic stenosis or subaortic stenosis, murmur intensity was compared to echocardiographically determined pressure gradient across the affected valve. Disease severity, based on pressure gradients, was assessed between sequential murmur grades to identify redundancy in classification. A simplified four-level murmur intensity classification scheme ('soft', 'moderate', 'loud', 'palpable') was evaluated. In total, 284 dogs (153 with pulmonic stenosis, 131 with subaortic stenosis) were included; 55 dogs had soft, 59 had moderate, 72 had loud and 98 had palpable murmurs. 95 dogs had mild stenosis, 46 had moderate stenosis, and 143 had severe stenosis. No dogs with soft murmurs of either pulmonic or subaortic stenosis had transvalvular pressure gradients greater than 50 mmHg. Dogs with loud or palpable murmurs mostly, but not always, had severe stenosis. Stenosis severity increased with increasing murmur intensity. The traditional six-level murmur grading scheme provided no additional clinical information than the four-level descriptive murmur grading scheme. A simplified descriptive four-level murmur grading scheme differentiated stenosis severity without loss of clinical information, compared to the traditional six-level scheme. Soft murmurs in dogs with pulmonic or subaortic stenosis are strongly indicative of mild lesions. Loud or palpable murmurs are strongly suggestive of severe stenosis. © 2017 British Small Animal Veterinary Association.

Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity123

Science.gov (United States)

Pecevski, Dejan

2016-01-01

Abstract Numerous experimental data show that the brain is able to extract information from complex, uncertain, and often ambiguous experiences. Furthermore, it can use such learnt information for decision making through probabilistic inference. Several models have been proposed that aim at explaining how probabilistic inference could be performed by networks of neurons in the brain. We propose here a model that can also explain how such neural network could acquire the necessary information for that from examples. We show that spike-timing-dependent plasticity in combination with intrinsic plasticity generates in ensembles of pyramidal cells with lateral inhibition a fundamental building block for that: probabilistic associations between neurons that represent through their firing current values of random variables. Furthermore, by combining such adaptive network motifs in a recursive manner the resulting network is enabled to extract statistical information from complex input streams, and to build an internal model for the distribution p* that generates the examples it receives. This holds even if p* contains higher-order moments. The analysis of this learning process is supported by a rigorous theoretical foundation. Furthermore, we show that the network can use the learnt internal model immediately for prediction, decision making, and other types of probabilistic inference. PMID:27419214

Neurocognitive Deficits in Children With Sickle Cell Disease Are Associated With the Severity of Anemia

NARCIS (Netherlands)

Hijmans, Channa T.; Grootenhuis, Martha A.; Oosterlaan, Jaap; Heijboer, Harriët; Peters, Marjolein; Fijnvandraat, Karin

2011-01-01

Background. Although neurocognitive deficits in children with sickle cell disease (SCD) have been well documented, the etiology of these deficits has not been completely clarified. The aim of this study was to investigate the association of laboratory markers of disease severity and radiological

Severe hepatocytolisis syndrome - a challenge in medical therapy of Cushing’s disease

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Valea Ana

2015-08-01

Full Text Available Introduction Cushing’s disease is a rare endocrine disorder characterized by persistent hypercortisolism due to excessive, autonomous ACTH secretion by a pituitary adenoma. Transsphenoidal adenomectomy is the main therapeutic option in Cushing’s disease. When imaging studies are unable to demonstrate an obvious pituitary mass complete tumor resection is difficult and often encumbered by risk of relapse. Medical therapy is a second-line option or the first-line treatment for patients with high surgical risk, incomplete surgical resection or relapse. Rarely classic clinical manifestations limit the selection of medical therapy for Cushing’s disease. Case presentation We present the case of a male patient with Cushing’s disease complicated with diabetes mellitus and severe hepatocytolisis syndrome with no visible pituitary adenoma on MRI studies. In the absence of technical equipment petrosal sinus sampling could not be performed in order to improve surgery outcome

Forward and backward inference in spatial cognition.

Directory of Open Access Journals (Sweden)

Will D Penny

Full Text Available This paper shows that the various computations underlying spatial cognition can be implemented using statistical inference in a single probabilistic model. Inference is implemented using a common set of 'lower-level' computations involving forward and backward inference over time. For example, to estimate where you are in a known environment, forward inference is used to optimally combine location estimates from path integration with those from sensory input. To decide which way to turn to reach a goal, forward inference is used to compute the likelihood of reaching that goal under each option. To work out which environment you are in, forward inference is used to compute the likelihood of sensory observations under the different hypotheses. For reaching sensory goals that require a chaining together of decisions, forward inference can be used to compute a state trajectory that will lead to that goal, and backward inference to refine the route and estimate control signals that produce the required trajectory. We propose that these computations are reflected in recent findings of pattern replay in the mammalian brain. Specifically, that theta sequences reflect decision making, theta flickering reflects model selection, and remote replay reflects route and motor planning. We also propose a mapping of the above computational processes onto lateral and medial entorhinal cortex and hippocampus.

Pathogen infection distribution and drug resistance analysis of patients with severe liver disease

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Xi CHEN

2018-04-01

Full Text Available Objective　To explore the infection distribution and drug resistance of pathogens in patients with severe liver disease, and provide reference for clinical medication. Methods　Retrospective analysis of the microbiological specimens from patients with severe liver disease in Department of Infection of our hospital from August 2014 to November 2016 and the drug susceptibility testing were carried out by means of K-B disc diffusion method after bacterial culturing, and the distribution and drug resistance of pathogens were analyzed. Results　Totally 17 of 73 patients with severe liver disease developed hospital infection (23.3%. 104 strains of bacteria were isolated and 78 strains out of them were multidrug-resistant bacteria (75.0%. Among them, 28(26.9% strains were gram-positive coccus, mainly consisting of Staphylococcus aureus and Staphylococcus epidermidis, and 58(55.8% were gram-negative coccus, mainly composed of Escherichia coli, Klebsiella pneumonia and Acinetobacter baumannii, and 18(17.3% strains fungi. S.aureus and enterococci were resistant to penicillin, erythromycin and levofloxacin, the resistance rates were above 80.0%, but had low resistance rates to vancomycin, teicoplanin and tigecycline. The resistance rates of E.coli and K.pneumoniae to piperacillin, cefazolin and cefuroxime sodium were above 85.0%, but they had lower resistance rates to tigecycline and amikacin. Acinetobacter baumannii was 100% resistant to piperacillin and tazobactam, ceftazidime, imipenem and amikacin, but had low resistance to tigecycline and minocycline. Conclusions　Multi-drug resistant bacteria are the main bacterial pathogens in patients with severe liver disease and have a high resistance rate to commonly used antibiotics, empirical treatment in the population at high risk of multidrug-resistant bacteria infections requires the use of broad-spectrum or high-grade antibiotics (e.g. carbapenems or tigecycline and drugs against specific pathogenic

Correlation of Serum Levels of Vitronectin, Malondialdehyde and Hs-CRP With Disease Severity in Coronary Artery Disease

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Alireza Yaghoubi

2015-09-01

Conclusion: The association and correlation between VN, MDA and hs-CRP indicate their involvement in the atherosclerosis process that may lead to progression of CAD. Also, these findings suggested that serum levels of VN, MDA and hs-CRP can help as diagnostic and monitoring markers in CAD patients and as markers of disease severity.

Two α1-Globin Gene Point Mutations Causing Severe Hb H Disease.

Science.gov (United States)

Jiang, Hua; Huang, Lv-Yin; Zhen, Li; Jiang, Fan; Li, Dong-Zhi

Hb H disease is generally a moderate form of α-thalassemia (α-thal) that rarely requires regular blood transfusions. In this study, two Chinese families with members carrying transfusion-dependent Hb H disease were investigated for rare mutations on the α-globin genes (HBA1, HBA2). In one family, Hb Zürich-Albisrieden [α59(E8)Gly→Arg; HBA1: c.178G>C] in combination with the Southeast Asian (- - SEA ) deletion was the defect responsible for the severe phenotype. In another family, a novel hemoglobin (Hb) variant named Hb Sichuan (HBA1: c.393_394insT), causes α-thal and a severe phenotype when associated with the - - SEA deletion. As these two HBA1 mutations can present as continuous blood transfusion-dependent α-thal, it is important to take this point into account for detecting the carriers, especially in couples in which one partner is already a known α 0 -thal carrier.

Human Metapneumovirus Infection is Associated with Severe Respiratory Disease in Preschool Children with History of Prematurity.

Science.gov (United States)

Pancham, Krishna; Sami, Iman; Perez, Geovanny F; Huseni, Shehlanoor; Kurdi, Bassem; Rose, Mary C; Rodriguez-Martinez, Carlos E; Nino, Gustavo

2016-02-01

Human metapneumovirus (HMPV) is a recently discovered respiratory pathogen of the family Paramyxoviridae, the same family as that of respiratory syncytial virus (RSV). Premature children are at high risk of severe RSV infections, however, it is unclear whether HMPV infection is more severe in hospitalized children with a history of severe prematurity. We conducted a retrospective analysis of the clinical respiratory presentation of all polymerase chain reaction-confirmed HMPV infections in preschool-age children (≤5 years) with and without history of severe prematurity (prematurity. Preschool children with a history of prematurity had more severe HMPV disease as illustrated by longer hospitalizations, new or increased need for supplemental O2, and higher severity scores independently of age, ethnicity, and history of asthma. Our study suggests that HMPV infection causes significant disease burden among preschool children with a history of prematurity leading to severe respiratory infections and increasing health care resource utilization due to prolonged hospitalizations. Copyright © 2016. Published by Elsevier B.V.

Targeting the brain: considerations in 332 consecutive patients treated by deep brain stimulation (DBS) for severe neurological diseases.

Science.gov (United States)

Franzini, Angelo; Cordella, Roberto; Messina, Giuseppe; Marras, Carlo Efisio; Romito, Luigi Michele; Albanese, Alberto; Rizzi, Michele; Nardocci, Nardo; Zorzi, Giovanna; Zekaj, Edvin; Villani, Flavio; Leone, Massimo; Gambini, Orsola; Broggi, Giovanni

2012-12-01

Deep brain stimulation (DBS) extends the treatment of some severe neurological diseases beyond pharmacological and conservative therapy. Our experience extends the field of DBS beyond the treatment of Parkinson disease and dystonia, including several other diseases such as cluster headache and disruptive behavior. Since 1993, at the Istituto Nazionale Neurologico "Carlo Besta" in Milan, 580 deep brain electrodes were implanted in 332 patients. The DBS targets include Stn, GPi, Voa, Vop, Vim, CM-pf, pHyp, cZi, Nacc, IC, PPN, and Brodmann areas 24 and 25. Three hundred patients are still available for follow-up and therapeutic considerations. DBS gave a new therapeutic chance to these patients affected by severe neurological diseases and in some cases controlled life-threatening pathological conditions, which would otherwise result in the death of the patient such as in status dystonicus, status epilepticus and post-stroke hemiballismus. The balance of DBS in severe neurological disease is strongly positive even if further investigations and studies are needed to search for new applications and refine the selection criteria for the actual indications.

A formal model of interpersonal inference

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Michael eMoutoussis

2014-03-01

Full Text Available Introduction: We propose that active Bayesian inference – a general framework for decision-making – can equally be applied to interpersonal exchanges. Social cognition, however, entails special challenges. We address these challenges through a novel formulation of a formal model and demonstrate its psychological significance. Method: We review relevant literature, especially with regards to interpersonal representations, formulate a mathematical model and present a simulation study. The model accommodates normative models from utility theory and places them within the broader setting of Bayesian inference. Crucially, we endow people's prior beliefs, into which utilities are absorbed, with preferences of self and others. The simulation illustrates the model's dynamics and furnishes elementary predictions of the theory. Results: 1. Because beliefs about self and others inform both the desirability and plausibility of outcomes, in this framework interpersonal representations become beliefs that have to be actively inferred. This inference, akin to 'mentalising' in the psychological literature, is based upon the outcomes of interpersonal exchanges. 2. We show how some well-known social-psychological phenomena (e.g. self-serving biases can be explained in terms of active interpersonal inference. 3. Mentalising naturally entails Bayesian updating of how people value social outcomes. Crucially this includes inference about one’s own qualities and preferences. Conclusion: We inaugurate a Bayes optimal framework for modelling intersubject variability in mentalising during interpersonal exchanges. Here, interpersonal representations are endowed with explicit functional and affective properties. We suggest the active inference framework lends itself to the study of psychiatric conditions where mentalising is distorted.

Epistaxis in end stage liver disease masquerading as severe upper gastrointestinal hemorrhage.

Science.gov (United States)

Camus, Marine; Jensen, Dennis M; Matthews, Jason D; Ohning, Gordon V; Kovacs, Thomas O; Jutabha, Rome; Ghassemi, Kevin A; Machicado, Gustavo A; Dulai, Gareth S

2014-10-14

To describe the prevalence, diagnosis, treatment, and outcomes of end stage liver disease (ESLD) patients with severe epistaxis thought to be severe upper gastrointestinal hemorrhage (UGIH). This observational single center study included all consecutive patients with ESLD and epistaxis identified from consecutive subjects hospitalized with suspected UGIH and prospectively enrolled in our databases of severe UGIH between 1998 and 2011. A total of 1249 patients were registered for severe UGIH in the data basis, 461 (36.9%) were cirrhotics. Epistaxis rather than UGIH was the bleeding source in 20 patients. All patients had severe coagulopathy. Epistaxis was initially controlled in all cases. Fifteen (75%) subjects required posterior nasal packing and 2 (10%) embolization in addition to correction of coagulopathy. Five (25%) patients died in the hospital, 12 (60%) received orthotopic liver transplantation (OLT), and 3 (15%) were discharged without OLT. The mortality rate was 63% in patients without OLT. Severe epistaxis in patients with ESLD is (1) a diagnosis of exclusion that requires upper endoscopy to exclude severe UGIH; and (2) associated with a high mortality rate in patients not receiving OLT.

Inhibition of stress-activated MAP kinases induces clinical improvement in moderate to severe Crohn's disease

NARCIS (Netherlands)

Hommes, Daan; van den Blink, Bernt; Plasse, Terry; Bartelsman, Joep; Xu, Cuiping; Macpherson, Bret; Tytgat, Guido; Peppelenbosch, Mailkel; van Deventer, Sander

2002-01-01

Background & Aims: We investigated if inhibition of mitogen-activated protein kinases (MAPKs) was beneficial in Crohn's disease. Methods: Inhibition of JNK and p38 MAPK activation with CNI-1493, a guanylhydrazone, was tested in vitro. Twelve patients with severe Crohn's disease (mean baseline, CDAI

Prognostic Value of C-Reactive Protein, Leukocytes, and Vitamin D in Severe Chronic Obstructive Pulmonary Disease

DEFF Research Database (Denmark)

Moberg, Mia; Vestbo, Jørgen; Martinez, Gerd

2014-01-01

Inflammatory biomarkers predict mortality and hospitalisation in chronic obstructive pulmonary disease (COPD). Yet, it remains uncertain if biomarkers in addition to reflecting disease severity add new prognostic information on severe COPD. We investigated if leukocytes, C-reactive protein (CRP......), and vitamin D were independent predictors of mortality and hospitalisation after adjusting for disease severity with an integrative index, the i-BODE index. In total, 423 patients participating in a pulmonary rehabilitation programme, with a mean value of FEV1 of 38% of predicted, were included. Mean followup...... was 45 months. During the follow-up period, 149 deaths (35%) were observed and 330 patients (78.0%) had at least one acute hospitalisation; 244 patients (57.7%) had at least one hospitalisation due to an exacerbation of COPD. In the analysis (Cox proportional hazards model) fully adjusted for age, sex...

Distributional Inference

NARCIS (Netherlands)

Kroese, A.H.; van der Meulen, E.A.; Poortema, Klaas; Schaafsma, W.

1995-01-01

The making of statistical inferences in distributional form is conceptionally complicated because the epistemic 'probabilities' assigned are mixtures of fact and fiction. In this respect they are essentially different from 'physical' or 'frequency-theoretic' probabilities. The distributional form is

Celiac Disease in Children with Severe Acute Malnutrition (SAM): A Hospital Based Study.

Science.gov (United States)

Beniwal, Neetu; Ameta, Gaurav; Chahar, Chandra Kumar

2017-05-01

To evaluate the prevalence and clinical features of Celiac disease among children with severe acute malnutrition (SAM). This prospective observational study was conducted in PBM Children Hospital, Bikaner from July 2012 through December 2013. All consecutively admitted children with SAM were recruited. All subjects were screened for Celiac disease by serological test for IgA-anti tissue Transglutaminase (IgA tTG) antibodies. All seropositive children underwent upper gastrointestinal endoscopy for small bowel biopsy for the confirmation. Clinical features of patients with and without celiac disease were compared. The sero-prevalence (IgA tTg positivity) of Celiac disease was found to be 15.38% while prevalence of biopsy confirmed Celiac disease was 14.42% among SAM children. Abdominal distension, diarrhea, anorexia, constipation, pain in abdomen, vitamin deficiencies, edema, clubbing and mouth ulcers were more common in patients of Celiac disease compared to patients without Celiac disease but the difference was statistically significant only for abdominal distension and pain abdomen. There is a high prevalence of Celiac disease in SAM. Screening for Celiac disease (especially in presence of pain abdomen and abdominal distension) should be an essential part of work-up in all children with SAM.

Continuous Integrated Invariant Inference, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — The proposed project will develop a new technique for invariant inference and embed this and other current invariant inference and checking techniques in an...

Comorbidities in severe asthma: frequency of rhinitis, nasal polyposis, gastroesophageal reflux disease, vocal cord dysfunction and bronchiectasis

Directory of Open Access Journals (Sweden)

Carla Bisaccioni

2009-01-01

Full Text Available OBJECTIVES: Severe asthma is found in approximately 10% of patients with asthma. Some factors associated with worse asthma control include rhinitis, gastroesophageal reflux disease, vocal cord dysfunction (VCD, nasal polyposis and bronchiectasis. Therefore, we evaluated the prevalence of these illnesses in patients with severe asthma. METHODS: We conducted a retrospective analysis of data obtained from electronic medical records of patients with severe asthma between January 2006 and June 2008. Symptoms of rhinitis and gastroesophageal reflux disease were evaluated as well as intolerance to nonsteroidal anti-inflammatory drugs. We evaluated the results of esophagogastroduodenoscopy, videolaryngoscopy and CT scans of the chest in order to confirm gastroesophageal reflux disease, nasal polyposis, vocal cord dysfunction and bronchiectasis. RESULTS: We evaluated 245 patients. Rhinitis symptoms were present in 224 patients (91.4%; 18 (7.3% had intolerance to nonsteroidal anti-inflammatory drugs, and 8 (3.3% had nasal polyposis. Symptoms of gastroesophageal reflux disease were reported for 173 (70.6% patients, although the diagnosis of gastroesophageal reflux disease was confirmed based on esophagogastroduodenoscopy or laryngoscopy findings in just 58 (33.6% patients. Vocal cord dysfunction was suspected in 16 (6.5% and confirmed through laryngoscopy in 4 (1.6%. The patient records provided CT scans of the chest for 105 patients, and 26 (24.8% showed bronchiectasis. DISCUSSION: Rhinitis and gastroesophageal reflux disease were the most common comorbidities observed, in addition to bronchiectasis. Therefore, in patients with severe asthma, associated diseases should be investigated as the cause of respiratory symptoms and uncontrolled asthma.

IS LIPOPROTEIN (A A PREDICTOR OF CORONARY ARTERY DISEASE SEVERITY?

Directory of Open Access Journals (Sweden)

Tayyebeh Miandoabi

2010-12-01

Full Text Available Abstract    INTRODUCTION: Studies on the association between the plasma concentration of lipoprotein (a and coronary heart disease (CHD have reported conflicting findings.    METHOD AND MATERIALS: The objective of the present study was to evaluate the association between serum levels of lipoprotein (a and ischemic heart disease as well as other cardiovascular risk factors in a population-based study. Lipoprotein (a serum was measured in 142 patients with chronic stable angina undergoing clinically indicated coronary angiography. Lipid profile, fasting blood glucose, anthropometric and clinical parameters were analyzed.    RESULTS: Lipoprotein (a levels were significantly associated with coronary artery stenosis in men, but not in women. Also, an direct association between mean levels of lipoprotein (a and coronary artery stenosis in men younger than 55 years old and an inverse association in men older than 55 years old were observed.     CONCLUSION: Multivariate analysis revealed that lipoprotein (a was considered an independent predictor for severity of CAD in men, especially in younger ages.      Keywords: Lipoprotein (a, cardiovascular risk factors, Ischemic heart disease, coronary angiography.

Relationship between regional severity of emphysema and coronary heart disease

International Nuclear Information System (INIS)

Nagao, Michinobu; Sakai, Shinya; Yasuhara, Yoshifumi; Ikezoe, Junpei; Murase, Kenya; Ichiki, Taku

2000-01-01

We analyzed the relationship between regional severity of emphysema, which was evaluated by three-dimensional fractal analysis (3D-FA) of Technegas SPECT images, and coronary heart disease (CHD). For 22 patients with emphysema who underwent Technegas SPECT, we followed up CHD events. The follow-up period was 5.4±0.5 (mean ±SD) years. We defined the upper-lung fractal dimension (U-FD) and lower-lung fractal dimension (L-FD) obtained with 3D-FA of Technegas SPECT images as the regional severity of emphysema. FD became greater with the progression of emphysematous change. During the follow-up period, CHD events occurred in 6 (27%) of the 22 patients. The ratio of U-FD to L-FD for patients with CHD events (0.87±0.22) was significantly smaller than for patients without CHD events (1.52±0.38) (p=0.0015). These findings suggest that severer emphysema in the lower lung indicates a higher risk of CHD than that in the upper lung. (author)

Chronic obstructive pulmonary disease with lung cancer: Prevalence, severity, and common pathogenesis

Directory of Open Access Journals (Sweden)

Griffin JP

2016-01-01

Full Text Available Objectives: To develop a clinical prediction model of contribution of chronic obstructive pulmonary disease (COPD to the pathogenesis of lung cancer, by reporting the estimated prevalence and severity by GOLD criteria in a single-institution cohort of patients with newly diagnosed lung cancer. Primary objective was investigating the effects of impaired lung function with various histological cell types on crude survival, while considering the initial staging of disease extent. Materials & methods: A total of 441 patients, in this historical cohort from electronic medical records, completed spirometry prior to invasive diagnostic procedures and initial treatment of their lung cancer. All statistical analyses, including ANOVA and survival analysis, were performed using SAS version 9.1 software. Results: Estimated prevalence of COPD was 79.1% (95% confidence interval: 71.3%-82.9%. Lung function as measured by spirometry was a significant predictor of survival time in months (p<0.0001 both with and without adjusting for tumor-cell-type, age, and stage of disease. Median survival was similar (p=0.32 and longer among those patients with normal pulmonary function, those with restrictive disease patterns, and those with COPD–GOLD-1 defects. Median survival was shortest among patients with COPD–GOLD-4 impairment (p=0.001. Those patients with COPD–GOLD-2 and COPD-GOLD-3 impairment levels had intermediate survival times (p=0.003. Conclusions: This investigation suggests that strategies for early detection and slowing the progression of COPD before the development of lung cancer might increase patient survival. As demonstrated in this study, the presence and severity of COPD in lung cancer patients is an independent predictor of survival time, different from the established staging of initial extent of disease.

Estimating uncertainty of inference for validation

Energy Technology Data Exchange (ETDEWEB)

Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM

2010-09-30

We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the

Skin diseases: prevalence and predictors of itch and disease severity.

NARCIS (Netherlands)

Verhoeven, E.W.M.

2009-01-01

Chronic skin diseases are known to be common among the general population. Nevertheless, little research attention has been paid to patients with skin diseases in the general population, and consequently, little is known about the impact of skin diseases on daily life within this population. General

Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure.

Science.gov (United States)

Byun, Jinyoung; Han, Younghun; Gorlov, Ivan P; Busam, Jonathan A; Seldin, Michael F; Amos, Christopher I

2017-10-16

Accurate inference of genetic ancestry is of fundamental interest to many biomedical, forensic, and anthropological research areas. Genetic ancestry memberships may relate to genetic disease risks. In a genome association study, failing to account for differences in genetic ancestry between cases and controls may also lead to false-positive results. Although a number of strategies for inferring and taking into account the confounding effects of genetic ancestry are available, applying them to large studies (tens thousands samples) is challenging. The goal of this study is to develop an approach for inferring genetic ancestry of samples with unknown ancestry among closely related populations and to provide accurate estimates of ancestry for application to large-scale studies. In this study we developed a novel distance-based approach, Ancestry Inference using Principal component analysis and Spatial analysis (AIPS) that incorporates an Inverse Distance Weighted (IDW) interpolation method from spatial analysis to assign individuals to population memberships. We demonstrate the benefits of AIPS in analyzing population substructure, specifically related to the four most commonly used tools EIGENSTRAT, STRUCTURE, fastSTRUCTURE, and ADMIXTURE using genotype data from various intra-European panels and European-Americans. While the aforementioned commonly used tools performed poorly in inferring ancestry from a large number of subpopulations, AIPS accurately distinguished variations between and within subpopulations. Our results show that AIPS can be applied to large-scale data sets to discriminate the modest variability among intra-continental populations as well as for characterizing inter-continental variation. The method we developed will protect against spurious associations when mapping the genetic basis of a disease. Our approach is more accurate and computationally efficient method for inferring genetic ancestry in the large-scale genetic studies.

Xmni polymorphism and disease severity in patients with beta thalassemia from northern Pakistan

International Nuclear Information System (INIS)

Hanif, T.B.; Ahmed, S.; Anwar, J.

2015-01-01

Thalassemia is a heterogeneous disorder and several genetic factors influence the severity of thalassemia. An accurate and early diagnosis of a mild thalassemia genotype helps to avoid unnecessary transfusion and its complications. The aim of this study is to identify the association between XmnI polymorphism and disease severity in patients with ?-thalassemia from northern Pakistan. Methods: The cross sectional study was conducted at the Department of Haematology, Armed Forces Institute of Pathology (AFIP) Rawalpindi, from September 2006 to June 2009. A total of 90 subjects including 30 with thalassemia major, 30 with thalassemia intermedia and 30 normal individuals were studied. DNA from each subject was tested for 15 ?-thalassemia mutations and the presence of XmnI polymorphism using Amplification Refractory Mutation System and Restriction Fragment Length Polymorphism respectively. Results: One normal and one thalassemia major subject were found to be positive for homozygous and heterozygous XmnI polymorphism respectively. Among the thalassemia intermedia group, XmnI polymorphism was found in 12/30 patients, of whom 10 were homozygous and 2 were heterozygous for it. Conclusion: XmnI polymorphism is an important genotypic factor in Pakistani population for making a prospective diagnosis of thalassemia intermedia and predicting the severity of the disease. (author)

Increased endothelial and macrophage markers are associated with disease severity and mortality in scrub typhus.

Science.gov (United States)

Otterdal, Kari; Janardhanan, Jeshina; Astrup, Elisabeth; Ueland, Thor; Prakash, John A J; Lekva, Tove; Abraham, O C; Thomas, Kurien; Damås, Jan Kristian; Mathews, Prasad; Mathai, Dilip; Aukrust, Pål; Varghese, George M

2014-11-01

Scrub typhus is endemic in the Asia-Pacific region. Mortality is high even with treatment, and further knowledge of the immune response during this infection is needed. This study was aimed at comparing plasma levels of monocyte/macrophage and endothelial related inflammatory markers in patients and controls in South India and to explore a possible correlation to disease severity and clinical outcome. Plasma levels of ALCAM, VCAM-1, sCD163, sCD14, YKL-40 and MIF were measured in scrub typhus patients (n = 129), healthy controls (n = 31) and in infectious disease controls (n = 31), both in the acute phase and after recovery, by enzyme immunoassays. Patients had markedly elevated levels of all mediators in the acute phase, differing from both healthy and infectious disease controls. During follow-up levels of ALCAM, VCAM-1, sCD14 and YKL-40 remained elevated compared to levels in healthy controls. High plasma ALCAM, VCAM-1, sCD163, sCD14, and MIF, and in particular YKL-40 were all associated with disease severity and ALCAM, sCD163, MIF and especially YKL-40, were associated with mortality. Our findings show that scrub typhus is characterized by elevated levels of monocyte/macrophage and endothelial related markers. These inflammatory markers, and in particular YKL-40, may contribute to disease severity and clinical outcome. Copyright © 2014 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Comparison of evolutionary algorithms in gene regulatory network model inference.

LENUS (Irish Health Repository)

2010-01-01

ABSTRACT: BACKGROUND: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineering of GRNs). However, the nature of these data has made this process very difficult. At the moment, several methods of discovering qualitative causal relationships between genes with high accuracy from microarray data exist, but large scale quantitative analysis on real biological datasets cannot be performed, to date, as existing approaches are not suitable for real microarray data which are noisy and insufficient. RESULTS: This paper performs an analysis of several existing evolutionary algorithms for quantitative gene regulatory network modelling. The aim is to present the techniques used and offer a comprehensive comparison of approaches, under a common framework. Algorithms are applied to both synthetic and real gene expression data from DNA microarrays, and ability to reproduce biological behaviour, scalability and robustness to noise are assessed and compared. CONCLUSIONS: Presented is a comparison framework for assessment of evolutionary algorithms, used to infer gene regulatory networks. Promising methods are identified and a platform for development of appropriate model formalisms is established.

The Association between Serum Resistin Level and Presence or Severity of Coronary Heart Disease

Directory of Open Access Journals (Sweden)

Roozbeh Mortazavi

2017-03-01

Full Text Available Background: Obesity is a well-known principal risk factor for metabolic disorders and cardiovascular diseases. Resistin is one of adipocyte-derived molecules, which plays important roles in inflammation as well as in endocrine and cardiovascular systems. Objectives: The present study aimed to determine the association between serum resistin level and presence/severity of Coronary Heart Disease (CHD. Patients and Methods: This cross-sectional study was conducted on 155 individuals referred for coronary angiography. Information about the patients’ age, gender, and cardiovascular risk factors was recorded. Their weight, height, and waist and hip circumferences were measured, as well. Each coronary angiogram was reported for two scoring methods (number of vessel diseases (usual method and Gensini scoring system by one cardiologist who was not aware of the participants’ serum resistin levels. Then, the relationship between serum resistin level and presence/severity of CHD was evaluated. Results: The results revealed no significant associations between the mean serum resistin level and the presence of CHD by both methods of evaluation of the coronary angiograms after adjustment for all conventional risk factors for CHD. In addition, no significant association was detected between serum resistin level and the severity of CHD based on the usual method of reporting the coronary angiograms (number of vessel diseases (P = 0.332. Yet, serum resistin level was positively correlated to body mass index and waist and hip circumferences and negatively related to height and fasting blood sugar level. Moreover, no linear correlation was found between serum resistin level and Gensini score (P = 0.35. Finally, hip circumference (P = 0.002 and height (P = 0.018 were determined as the predictors of serum resistin level. Conclusions: This cross-sectional study showed no significant associations between serum resistin level and presence/severity of CHD.

Inferring Pre-shock Acoustic Field From Post-shock Pitot Pressure Measurement

Science.gov (United States)

Wang, Jian-Xun; Zhang, Chao; Duan, Lian; Xiao, Heng; Virginia Tech Team; Missouri Univ of Sci; Tech Team

2017-11-01

Linear interaction analysis (LIA) and iterative ensemble Kalman method are used to convert post-shock Pitot pressure fluctuations to static pressure fluctuations in front of the shock. The LIA is used as the forward model for the transfer function associated with a homogeneous field of acoustic waves passing through a nominally normal shock wave. The iterative ensemble Kalman method is then employed to infer the spectrum of upstream acoustic waves based on the post-shock Pitot pressure measured at a single point. Several test cases with synthetic and real measurement data are used to demonstrate the merits of the proposed inference scheme. The study provides the basis for measuring tunnel freestream noise with intrusive probes in noisy supersonic wind tunnels.

Mental Health-Ill Health Differences in Disease Severity and Its Sociodemographic Biobehavioral Predictors Among Patients With Knee Osteoarthritis.

Science.gov (United States)

Rezakhani Moghaddam, Hamed; Nadrian, Haidar; Abbagolizadeh, Nategh; Babazadeh, Towhid; Aghemiri, Mehran; Fathipour, Asaad

2018-01-01

Our aim in this cross-sectional study was to investigate mental health-ill health differences in disease severity and its sociodemographic biobehavioral predictors among patients with knee osteoarthritis (OA). Applying convenient sampling, 180 patients with knee OA in Tabriz, Iran, were recruited to participate in completing a three-section questionnaire (SF-12, Lequesne Algofunctional Index and Self-Management Behaviors Scale). Separate hierarchical multiple linear regressions were performed with OA severity as dependent variable: one for OA patients with positive mental health and other for OA patients with mental disorders symptoms. Among the patients with positive mental health, but not those with symptoms of mental disorder, pain management, duration of OA, physical activity management, living alone, and level of education were significant predictors of disease severity. Health care providers with a better understanding on the determinants of disease severity by mental health status may identify vulnerable patients and develop targeted interventions to foster disease management behaviors among OA patients.

Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems

KAUST Repository

Contreras, Andres A.

2016-09-19

A method is presented for inferring the presence of an inclusion inside a domain; the proposed approach is suitable to be used in a diagnostic device with low computational power. Specifically, we use the Bayesian framework for the inference of stiff inclusions embedded in a soft matrix, mimicking tumors in soft tissues. We rely on a polynomial chaos (PC) surrogate to accelerate the inference process. The PC surrogate predicts the dependence of the displacements field with the random elastic moduli of the materials, and are computed by means of the stochastic Galerkin (SG) projection method. Moreover, the inclusion\\'s geometry is assumed to be unknown, and this is addressed by using a dictionary consisting of several geometrical models with different configurations. A model selection approach based on the evidence provided by the data (Bayes factors) is used to discriminate among the different geometrical models and select the most suitable one. The idea of using a dictionary of pre-computed geometrical models helps to maintain the computational cost of the inference process very low, as most of the computational burden is carried out off-line for the resolution of the SG problems. Numerical tests are used to validate the methodology, assess its performance, and analyze the robustness to model errors. © 2016 Elsevier Ltd

Relation of time to complete redistribution and the severity of coronary artery disease

International Nuclear Information System (INIS)

Nishimura, Tsunehiko; Uehara, Toshiisa; Hayashida, Kohei; Kozuka, Takahiro; Saito, Muneyasu; Sumiyoshi, Tetsuya

1985-01-01

The relation between the severity of coronary artery disease and the time to complete redistribution (RD) was investigated in 66 patients with angina pectoris (AP) (28 SVD, 18 DVD and 20 TVD) and 104 patients with myocardial infarction (MI) (45 SVD, 36 DVD and 23 TVD). Stress thallium scan was performed immediately, 30 minutes (early) and 4 hours (delayed) after exercise. RD was classified into three groups (complete, incomplete and no RD). Early complete RD was observed in 15 (23 %) of AP and 3 (3 %) of MI cases. In both cases, the incidence of early RD was higher in SVD compared to DVD and TVD. And diffuse slow washout calculated from exercise and RD study disturbed the incidence of early RD in DVD and TVD. In the early RD cases of AP, coronary stenosis showed mild and collateral was not correlated, however, in the complete or incomplete RD of MI, coronary stenosis showed severe (> 90 %) and the frequency of collateral was higher compared to no RD cases. In MI cases, complete, incomplete and no RD were observed in 22 %, 25 % and 53 %, respectively. In the latter, a- or dys-kinesis at infarct zone was often observed which showed myocardial viability. In conclusion, early RD was observed about 20 % of coronary artery disease and the time to complete RD was closely related to the severity of coronary artery disease. In addition, the sensitivity for detecting transient thallium defect was influenced by the delay in beginning imaging. (author)

Quantum-Like Representation of Non-Bayesian Inference

Science.gov (United States)

Asano, M.; Basieva, I.; Khrennikov, A.; Ohya, M.; Tanaka, Y.

2013-01-01

This research is related to the problem of "irrational decision making or inference" that have been discussed in cognitive psychology. There are some experimental studies, and these statistical data cannot be described by classical probability theory. The process of decision making generating these data cannot be reduced to the classical Bayesian inference. For this problem, a number of quantum-like coginitive models of decision making was proposed. Our previous work represented in a natural way the classical Bayesian inference in the frame work of quantum mechanics. By using this representation, in this paper, we try to discuss the non-Bayesian (irrational) inference that is biased by effects like the quantum interference. Further, we describe "psychological factor" disturbing "rationality" as an "environment" correlating with the "main system" of usual Bayesian inference.

Bayesian Inference Methods for Sparse Channel Estimation

DEFF Research Database (Denmark)

Pedersen, Niels Lovmand

2013-01-01

This thesis deals with sparse Bayesian learning (SBL) with application to radio channel estimation. As opposed to the classical approach for sparse signal representation, we focus on the problem of inferring complex signals. Our investigations within SBL constitute the basis for the development...... of Bayesian inference algorithms for sparse channel estimation. Sparse inference methods aim at finding the sparse representation of a signal given in some overcomplete dictionary of basis vectors. Within this context, one of our main contributions to the field of SBL is a hierarchical representation...... analysis of the complex prior representation, where we show that the ability to induce sparse estimates of a given prior heavily depends on the inference method used and, interestingly, whether real or complex variables are inferred. We also show that the Bayesian estimators derived from the proposed...

Gene regulatory network inference by point-based Gaussian approximation filters incorporating the prior information.

Science.gov (United States)

Jia, Bin; Wang, Xiaodong

2013-12-17

: The extended Kalman filter (EKF) has been applied to inferring gene regulatory networks. However, it is well known that the EKF becomes less accurate when the system exhibits high nonlinearity. In addition, certain prior information about the gene regulatory network exists in practice, and no systematic approach has been developed to incorporate such prior information into the Kalman-type filter for inferring the structure of the gene regulatory network. In this paper, an inference framework based on point-based Gaussian approximation filters that can exploit the prior information is developed to solve the gene regulatory network inference problem. Different point-based Gaussian approximation filters, including the unscented Kalman filter (UKF), the third-degree cubature Kalman filter (CKF3), and the fifth-degree cubature Kalman filter (CKF5) are employed. Several types of network prior information, including the existing network structure information, sparsity assumption, and the range constraint of parameters, are considered, and the corresponding filters incorporating the prior information are developed. Experiments on a synthetic network of eight genes and the yeast protein synthesis network of five genes are carried out to demonstrate the performance of the proposed framework. The results show that the proposed methods provide more accurate inference results than existing methods, such as the EKF and the traditional UKF.

Periodontal disease severity in subjects with dementia: A systematic review and meta-analysis.

Science.gov (United States)

Gusman, David Jonathan R; Mello-Neto, João M; Alves, Breno Edson S; Matheus, Henrique R; Ervolino, Edilson; Theodoro, Letícia H; de Almeida, Juliano M

Despite clinical trials and reviews attempt to assess a possible relationship between dementia and periodontal disease, no meta-analysis has been performed and this issue remains undetermined. The aim of this study is to conduct a systematic review and meta-analysis to assess severity of periodontitis in subjects with dementia. The search was conducted in Pubmed, Embase/MEDLINE. Two independent reviewers extracted data and assessed the risk bias (Newcastle-Ottawa scale). Meta-analyses were performed using the means of probing depth (PD) and clinical attachment loss (CAL) in patients with or without dementia. The mean difference were analyzed (P ≤ 0.05). Fourteen studies were included in the systematic review. In the qualitative analysis, most studies reported higher prevalence of periodontal disease in dementia patients. The studies had low risk of bias and two meta-analyses were performed for each parameter, including or not a cross-sectional study. The meta-analyses including the cross-sectional study demonstrated significant association between dementia and periodontal disease (mean difference: PD = 1.41; CAL = 1.40, P periodontal conditions in dementia patients, due to different study types and the high heterogeneity among them, the meta-analysis does not support the association between dementia and severity of periodontal disease. Copyright © 2018 Elsevier B.V. All rights reserved.

Statistical inference an integrated Bayesianlikelihood approach

CERN Document Server

Aitkin, Murray

2010-01-01

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing.After an overview of the competing theories of statistical inference, the book introduces the Bayes/likelihood approach used throughout. It pre

Lung inhalation scintigraphy with radioactive aerosols in several pulmonary diseases. Cintigrafia de ventialacao pulmonar por aerosol em diversas patologias pulmonares

Energy Technology Data Exchange (ETDEWEB)

Martins, L R; Marioni Filho, H [Instituto Dante Pazzanese de Cardiologia, Sao Paulo, SP (Brazil); Romaldini, H; Uehara, C; Alonso, G [Escola Paulista de Medicina, Sao Paulo, SP (Brazil)

1983-01-01

The pulmonary ventilation scintigraphy with 99m Tc diethylene-triamine-pentaacetate (99mTc-DTPA) delivered through a new nebulizer system when analyzed together with the classic lung perfusion scintigraphy with 99mTc-labeled albumin macroaggregates (99mTcMAA) is a very important diagnostic tool in several pulmonary diseases. Several aspects of the lung ventilation-perfusion scintigraphy are studied in 15 people with no lung disease, smokers and nonsmokers. The findings with the lung ventilation-perfusion scintigraphy are also discussed in 34 patients with several pulmonary diseases: lung cancer, chronic obstructive lung disease, policystic pulmonary disease, and pulmonary embolims. The authors concluded that the procedure is a valuable diagnostic tool in several pulmonary diseases, especially because good lung images are obtained, no side effects were detected, the technique is ease and low cost, and it brings new informations, not available with other diagnostic methods. (author).

Severe Periodontal Disease Associated with Long-Term Treatment with Intravenous Immunoglobulin

Directory of Open Access Journals (Sweden)

Jôice Dias Corrêa

2014-01-01

Full Text Available Intravenous immunoglobulin (IVIG is used in the treatment of neuropathy. This case report presents, for the first time, a patient with severe periodontal destruction after chronic therapy with IVIG. The patient reported having extracted his maxillary anterior teeth himself due to high mobility. Clinical examination and radiographic images show a generalized and severe periodontitis. No significant alterations in genetic or microbiological features were observed. The present case suggests that periodontal disease aggravation could be considered a new adverse effect of IVIG therapy. Postulated mechanisms are immune complexes formation, complement activation, and a direct effect in osteoclasts. In conclusion, it is important that patients that will receive IVIG treatment underwent dental evaluation.

Adiponectin levels correlate with the severity of hypertriglyceridaemia in glycogen storage disease Ia

NARCIS (Netherlands)

Bandsma, R. H. J.; Smit, G. P. A.; Reijngoud, D. -J.; Kuipers, F.

2009-01-01

Glycogen storage disease type Ia (GSD Ia) is characterized by severe hypercholesterolaemia and hypertriglyceridaemia. Little is known about the aetiology of the hyperlipidaemia in GSD Ia. Adipokines play an important regulatory role in lipid metabolism. We investigated whether adipokine

Increased Plasma Cell-Free DNA Level during HTNV Infection: Correlation with Disease Severity and Virus Load

Directory of Open Access Journals (Sweden)

Jing Yi

2014-07-01

Full Text Available Cell-free DNA (cf-DNA in blood represents a promising DNA damage response triggered by virus infection or trauma, tumor, etc. Hantavirus primarily causes two diseases: haemorrhagic fever with renal syndrome (HFRS and Hantavirus cardiopulmonary syndrome (HCPS, depending on different Hantavirus species. The aim of this study was to evaluate plasma cf-DNA levels in acute phase of HFRS, and to correlate plasma cf-DNA with disease severity and plasma Hanttan virus (HTNV load. We observed the appearance of cf-DNA in 166 plasma samples from 76 HFRS patients: the plasma cf-DNA levels peaked at the hypotensive stage of HFRS, and then decreased gradually. Until the diuretic stage, there was no significant difference in plasma cf-DNA level between patients and the healthy control. Exclusively in the febrile/hypotensive stage, the plasma cf-DNA levels of severe/critical patients were higher than those of the mild/moderate group. Moreover, the plasma cf-DNA value in the early stage of HFRS was correlated with HTNV load and disease severity. In most of the patients, plasma cf-DNA displayed a low-molecular weight appearance, corresponding to the size of apoptotic DNA. In conclusion, the plasma cf-DNA levels were dynamically elevated during HFRS, and correlated with disease severity, which suggests that plasma cf-DNA may be a potential biomarker for the pathogenesis and prognosis of HFRS.

Severe Aplastic Anemia (SAA)

Science.gov (United States)

... page Print this page My Cart Severe aplastic anemia (SAA) Severe aplastic anemia (SAA) is a disease ... leukemia (ALL) Other diseases What is severe aplastic anemia (SAA)? SAA is a bone marrow disease. The ...

Bayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction

Directory of Open Access Journals (Sweden)

Seong-Gon Kim

2011-06-01

Full Text Available Several techniques such as Neural Networks, Genetic Algorithms, Decision Trees and other statistical or heuristic methods have been used to approach the complex non-linear task of predicting Alpha-helicies, Beta-sheets and Turns of a proteins secondary structure in the past. This project introduces a new machine learning method by using an offline trained Multilayered Perceptrons (MLP as the likelihood models within a Bayesian Inference framework to predict secondary structures proteins. Varying window sizes are used to extract neighboring amino acid information and passed back and forth between the Neural Net models and the Bayesian Inference process until there is a convergence of the posterior secondary structure probability.

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts

KAUST Repository

Alam, Tanvir

2016-10-12

Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, their functions are largely uncharacterized. Current available databases lack in-depth information of ncRNA functions across spectrum of various cells/tissues. Here, we present FARNA, a knowledgebase of inferred functions of 10,289 human ncRNA transcripts (2,734 microRNA and 7,555 long ncRNA) in 119 tissues and 177 primary cells of human. Since transcription factors (TFs) and TF co-factors (TcoFs) are crucial components of regulatory machinery for activation of gene transcription, cellular processes and diseases in which TFs and TcoFs are involved suggest functions of the transcripts they regulate. In FARNA, functions of a transcript are inferred from TFs and TcoFs whose genes co-express with the transcript controlled by these TFs and TcoFs in a considered cell/tissue. Transcripts were annotated using statistically enriched GO terms, pathways and diseases across cells/tissues based on guilt-by-association principle. Expression profiles across cells/tissues based on Cap Analysis of Gene Expression (CAGE) are provided. FARNA, having the most comprehensive function annotation of considered ncRNAs across widest spectrum of human cells/tissues, has a potential to greatly contribute to our understanding of ncRNA roles and their regulatory mechanisms in human. FARNA can be accessed at: http://cbrc.kaust.edu.sa/farna

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts

KAUST Repository

Alam, Tanvir; Uludag, Mahmut; Essack, Magbubah; Salhi, Adil; Ashoor, Haitham; Hanks, John B.; Kapfer, Craig Eric; Mineta, Katsuhiko; Gojobori, Takashi; Bajic, Vladimir B.

2016-01-01

Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, their functions are largely uncharacterized. Current available databases lack in-depth information of ncRNA functions across spectrum of various cells/tissues. Here, we present FARNA, a knowledgebase of inferred functions of 10,289 human ncRNA transcripts (2,734 microRNA and 7,555 long ncRNA) in 119 tissues and 177 primary cells of human. Since transcription factors (TFs) and TF co-factors (TcoFs) are crucial components of regulatory machinery for activation of gene transcription, cellular processes and diseases in which TFs and TcoFs are involved suggest functions of the transcripts they regulate. In FARNA, functions of a transcript are inferred from TFs and TcoFs whose genes co-express with the transcript controlled by these TFs and TcoFs in a considered cell/tissue. Transcripts were annotated using statistically enriched GO terms, pathways and diseases across cells/tissues based on guilt-by-association principle. Expression profiles across cells/tissues based on Cap Analysis of Gene Expression (CAGE) are provided. FARNA, having the most comprehensive function annotation of considered ncRNAs across widest spectrum of human cells/tissues, has a potential to greatly contribute to our understanding of ncRNA roles and their regulatory mechanisms in human. FARNA can be accessed at: http://cbrc.kaust.edu.sa/farna

Detection and Severity Scoring of Chronic Obstructive Pulmonary Disease Using Volumetric Analysis of Lung CT Images

International Nuclear Information System (INIS)

Hosseini, Mohammad Parsa; Soltanian-Zadeh, Hamid; Akhlaghpoor, Shahram

2012-01-01

Chronic obstructive pulmonary disease (COPD) is a devastating disease.While there is no cure for COPD and the lung damage associated with this disease cannot be reversed, it is still very important to diagnose it as early as possible. In this paper, we propose a novel method based on the measurement of air trapping in the lungs from CT images to detect COPD and to evaluate its severity. Twenty-five patients and twelve normal adults were included in this study. The proposed method found volumetric changes of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration were compared and changes in the areas and volumes of the lungs between inspiration and expiration were used to define quantitative measures (features). Using these features,the subjects were classified into two groups of normal and COPD patients using a Bayesian classifier. In addition, t-tests were applied to evaluate discrimination powers of the features for this classification. For the cases studied, the proposed method estimated air trapping in the lungs from CT images without human intervention. Based on the results, a mathematical model was developed to relate variations of lung volumes to the severity of the disease. As a computer aided diagnosis (CAD) system, the proposed method may assist radiologists in the detection of COPD. It quantifies air trapping in the lungs and thus may assist them with the scoring of the disease by quantifying the severity of the disease

Static and dynamic hyperinflation during severe acute exacerbations of chronic obstructive pulmonary disease

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van Geffen WH

2018-04-01

Full Text Available Wouter H van Geffen,1,2 Huib AM Kerstjens2 1Department of Respiratory Medicine, Medical Centre Leeuwarden, Leeuwarden, the Netherlands; 2Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands Background: Static hyperinflation is known to be increased during moderate acute exacerbations of chronic obstructive pulmonary disease (COPD (AECOPD, but few data exist in patients with severe exacerbations of COPD. The role of dynamic hyperinflation during exacerbations is unclear. Methods: In a prospective, observational cohort study, we recruited patients admitted to hospital for AECOPD. The following measurements were performed upon admission and again after resolution (stable state at least 42 days later: inspiratory capacity (IC, body plethysmography, dynamic hyperinflation by metronome-paced IC measurement, health-related quality of life and dyspnea. Results: Forty COPD patients were included of whom 28 attended follow-up. The IC was low at admission (2.05±0.11 L and increased again during resolution by 15.6%±23.1% or 0.28±0.08 L (mean ± standard error of the mean, p<0.01. Testing of metronome-paced changes in IC was feasible, and it decreased by 0.74±0.06 L at admission, similarly to at stable state. Clinical COPD Questionnaire score was 3.7±0.2 at admission and improved by 1.7±0.2 points (p<0.01, and the Borg dyspnea score improved by 2.2±0.5 points from 4.4±0.4 at admission (p<0.01. Conclusion: Static hyperinflation is increased during severe AECOPD requiring hospitalization compared with stable state. We could measure metronome-paced dynamic hyperinflation during severe AECOPD but found no increase. Keywords: COPD, exacerbations of COPD, static hyperinflation, dynamic hyperinflation, severe acute exacerbations of COPD, COPD exacerbation, chronic obstructive pulmonary disease

Prevalence and Severity of Oral Diseases in the Africa and Middle East Region.

Science.gov (United States)

Abid, A; Maatouk, F; Berrezouga, L; Azodo, C; Uti, O; El-Shamy, H; Oginni, A

2015-07-01

This review aims to determine the prevalence and severity of oral health diseases in the Africa and Middle East region (AMER). The profile of oral diseases is not homogeneous across the AMER. There are large disparities between groups. Reliable data are scarce. The prevalence and severity of oral diseases appear to be increasing in the African region, as does associated morbidity. There are substantial differences in inequalities in oral health. Dental caries prevalence is less severe in most African countries than in developed countries, but the high rate of untreated caries reflects the limited resources available and difficulties of access and affordability to essential oral health care services. The prevalence of gingival inflammation is very high in all age groups in several African countries. The prevalence of maxillofacial trauma has increased in many countries, with a wide variation of the incidence and high prevalence of traumatic dental injuries in primary and permanent teeth. Orofacial clefts are among the most common birth defects. Annual incidence of oral cancer is estimated as 25 cases per 100,000 people in Africa. Noma is a major public health problem for the Middle East and North African (MENA) region. Data about human immunodeficiency virus/AIDS are limited, particularly in the MENA region. According to the World Health Organization Regional Committee for Africa report, some fundamental key basic knowledge gaps need to be underlined. They include inequalities in oral health, low priority for oral health, lack of adequate funding, inadequate dental student training, obstacles to medical and dental research, and poor databases. There are very few effective public prevention and oral health promotion programs in the AMER. Universal health coverage is not achievable without scientific research on the effectiveness of health promotion interventions. © International & American Associations for Dental Research 2015.

Inference Attacks and Control on Database Structures

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Muhamed Turkanovic

2015-02-01

Full Text Available Today’s databases store information with sensitivity levels that range from public to highly sensitive, hence ensuring confidentiality can be highly important, but also requires costly control. This paper focuses on the inference problem on different database structures. It presents possible treats on privacy with relation to the inference, and control methods for mitigating these treats. The paper shows that using only access control, without any inference control is inadequate, since these models are unable to protect against indirect data access. Furthermore, it covers new inference problems which rise from the dimensions of new technologies like XML, semantics, etc.

When More Transmission Equals Less Disease: Reconciling the Disconnect between Disease Hotspots and Parasite Transmission

Science.gov (United States)

Park, Andrew W.; Magori, Krisztian; White, Brad A.; Stallknecht, David E.

2013-01-01

The assumed straightforward connection between transmission intensity and disease occurrence impacts surveillance and control efforts along with statistical methodology, including parameter inference and niche modeling. Many infectious disease systems have the potential for this connection to be more complicated–although demonstrating this in any given disease system has remained elusive. Hemorrhagic disease (HD) is one of the most important diseases of white-tailed deer and is caused by viruses in the Orbivirus genus. Like many infectious diseases, the probability or severity of disease increases with age (after loss of maternal antibodies) and the probability of disease is lower upon re-infection compared to first infection (based on cross-immunity between virus strains). These broad criteria generate a prediction that disease occurrence is maximized at intermediate levels of transmission intensity. Using published US field data, we first fit a statistical model to predict disease occurrence as a function of seroprevalence (a proxy for transmission intensity), demonstrating that states with intermediate seroprevalence have the highest level of case reporting. We subsequently introduce an independently parameterized mechanistic model supporting the theory that high case reporting should come from areas with intermediate levels of transmission. This is the first rigorous demonstration of this phenomenon and illustrates that variation in transmission rate (e.g. along an ecologically-controlled transmission gradient) can create cryptic refuges for infectious diseases. PMID:23579922

Automated interpretable computational biology in the clinic: a framework to predict disease severity and stratify patients from clinical data

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Soumya Banerjee

2017-10-01

Full Text Available We outline an automated computational and machine learning framework that predicts disease severity and stratifies patients. We apply our framework to available clinical data. Our algorithm automatically generates insights and predicts disease severity with minimal operator intervention. The computational framework presented here can be used to stratify patients, predict disease severity and propose novel biomarkers for disease. Insights from machine learning algorithms coupled with clinical data may help guide therapy, personalize treatment and help clinicians understand the change in disease over time. Computational techniques like these can be used in translational medicine in close collaboration with clinicians and healthcare providers. Our models are also interpretable, allowing clinicians with minimal machine learning experience to engage in model building. This work is a step towards automated machine learning in the clinic.

Type Inference with Inequalities

DEFF Research Database (Denmark)

Schwartzbach, Michael Ignatieff

1991-01-01

of (monotonic) inequalities on the types of variables and expressions. A general result about systems of inequalities over semilattices yields a solvable form. We distinguish between deciding typability (the existence of solutions) and type inference (the computation of a minimal solution). In our case, both......Type inference can be phrased as constraint-solving over types. We consider an implicitly typed language equipped with recursive types, multiple inheritance, 1st order parametric polymorphism, and assignments. Type correctness is expressed as satisfiability of a possibly infinite collection...

Effect of pancreatic kallikrein combined with magnesium sulfate therapy on disease severity of patients with severe preeclampsia

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Yi Yang

2016-10-01

Full Text Available Objective: To study the clinical effect of pancreatic kallikrein combined with magnesium sulfate therapy on severe preeclampsia. Methods: A total of 47 patients with severe preeclampsia treated in our hospital from May 2013 to October 2015 were retrospectively analyzed, patients who received pancreatic kallikrein combined with magnesium sulfate therapy were selected as observation group, patients who received magnesium sulfate therapy were selected as control group, and then blood pressure level, renal function, uterine artery and umbilical artery blood flow state, and hypoxia indexes in serum and placenta were compared between two groups. Results: After treatment, systolic pressure and diastolic pressure levels as well as serum CysC level and 24 h urine protein level of observation group were significantly lower than those of control group, the uterine artery and umbilical artery S/ D and PI were significantly lower than those of control group, PIGF and NO levels in serum as well as Xiap and Survivin levels in placenta were significantly higher than those of control group, and sVEGFR1 level in serum as well as Caspase-3 and Caspase-7 levels in placenta was significantly lower than those of control group. Conclusions: Pancreatic kallikrein combined with magnesium sulfate therapy can alleviate the disease severity, lower blood pressure and vascular resistance, and improve renal function and the apoptosis caused by placental hypoxia in patients with severe preeclampsia.

[Severe neonatal hyperthyroidism which reveals a maternal Graves' disease].

Science.gov (United States)

Guérin, B; Vautier, V; Boin-Gay, V; Estrade, G; Choulot, J-J; Doireau, V

2004-04-01

Two of every thousand pregnancies are complicated by Graves' disease. Diagnosis is suggested by maternal disorders (tachycardia, exophthalmia, weight loss.) or fetal disorders (tachycardia, intra-uterine growth retardation, preterm birth.). Due to transfer into the fetal compartment of maternal antibodies which stimulate the fetal thyroid by binding to the thyroid thyrotropin (TSH) receptor, only 1% of children born to these mothers are described as having hyperthyroidism. Neonatal thyrotoxicosis disappears with clearance of the maternal antibodies; clinical signs usually disappear during the first four Months of life. The most frequent neonatal clinical signs of thyrotoxicosis are tachycardia, goiter, hyperexcitability, poor weight gain, hepatosplenomegaly, stare and eyelid retraction. Diagnosis is based on determination of the blood level of triiodothyronine (T3), thyroxine (T4) and TSH. To confirm the nature of hyperthyroidism, thyroid-stimulating immunoglobulins (TSI) should be assayed. The kinetics of TSI provides a guide for therapeutic adaptation and disappearance of TSI is a sign of recovery. Rare cases of familial non-autoimmune hyperthyroidism have been shown to be caused by germline mutation of the thyrotropin receptor. We report a case of severe neonatal hyperthyroidism which led to the diagnosis of maternal Graves' disease.

Correlation of endoscopic severity of gastroesophageal reflux disease (gerd) with body mass index (bmi)

International Nuclear Information System (INIS)

Zafar, S.; Haq, I.U.; Butt, A.R.; Shafiq, F.; Huda, G.; Mirza, G.; Rehman, A.U.

2007-01-01

To assess the correlation of endoscopic severity of Gastroesophageal Reflux Disease (GERD) with Body Mass Index (BMI). This study was conducted on 203 patients, who presented with upper GI symptoms. Patients who fulfilled the symptom criteria were referred for endoscopy. Classification of GERD was done according to LA Grading classification system. Body mass index (BMI) was calculated as Body Weight (BW) in kilograms (kg) divided by the square of the body height (BH) in meter (m2). Patient data was analyzed using SPSS 12 software. Statistical evaluation was done using non-parametric Wilcoxon's-sign Rank test. P-value <0.05 was considered to be statistically significant. Distribution of GERD was as follows: GERD-A subjects 65 (32%), GERD B subjects 72 (35.4%), GERD-C subjects 23 (11.3%), GERD-D subjects 10 (4.92%), while Non-Erosive Reflux Disease (NERD) was present in 33 subjects (16.2%). Mean BMI was 27+5.02SD (range of 18.2-38.3). BMI of patients having NERD was in normal range but patients who were having advanced disease i.e. Grade C-D were in obese range of BMI, while those who were having LA grade A-B were in overweight BMI range. When regrouped as mild GERD (grade A-B) and NERD versus severe GERD (grade C-D), there was a strong significant correlation between severity of GERD and BMI, as detected by Wilcoxon's signed Rank test (p=0.001). Higher BMI seems to be associated with higher degree of endoscopic GERD severity. (author)

An Improved Binary Differential Evolution Algorithm to Infer Tumor Phylogenetic Trees.

Science.gov (United States)

Liang, Ying; Liao, Bo; Zhu, Wen

2017-01-01

Tumourigenesis is a mutation accumulation process, which is likely to start with a mutated founder cell. The evolutionary nature of tumor development makes phylogenetic models suitable for inferring tumor evolution through genetic variation data. Copy number variation (CNV) is the major genetic marker of the genome with more genes, disease loci, and functional elements involved. Fluorescence in situ hybridization (FISH) accurately measures multiple gene copy number of hundreds of single cells. We propose an improved binary differential evolution algorithm, BDEP, to infer tumor phylogenetic tree based on FISH platform. The topology analysis of tumor progression tree shows that the pathway of tumor subcell expansion varies greatly during different stages of tumor formation. And the classification experiment shows that tree-based features are better than data-based features in distinguishing tumor. The constructed phylogenetic trees have great performance in characterizing tumor development process, which outperforms other similar algorithms.

Inference in models with adaptive learning

NARCIS (Netherlands)

Chevillon, G.; Massmann, M.; Mavroeidis, S.

2010-01-01

Identification of structural parameters in models with adaptive learning can be weak, causing standard inference procedures to become unreliable. Learning also induces persistent dynamics, and this makes the distribution of estimators and test statistics non-standard. Valid inference can be

Multiple sclerosis susceptibility-associated SNPs do not influence disease severity measures in a cohort of Australian MS patients.

Directory of Open Access Journals (Sweden)

Cathy J Jensen

Full Text Available Recent association studies in multiple sclerosis (MS have identified and replicated several single nucleotide polymorphism (SNP susceptibility loci including CLEC16A, IL2RA, IL7R, RPL5, CD58, CD40 and chromosome 12q13-14 in addition to the well established allele HLA-DR15. There is potential that these genetic susceptibility factors could also modulate MS disease severity, as demonstrated previously for the MS risk allele HLA-DR15. We investigated this hypothesis in a cohort of 1006 well characterised MS patients from South-Eastern Australia. We tested the MS-associated SNPs for association with five measures of disease severity incorporating disability, age of onset, cognition and brain atrophy. We observed trends towards association between the RPL5 risk SNP and time between first demyelinating event and relapse, and between the CD40 risk SNP and symbol digit test score. No associations were significant after correction for multiple testing. We found no evidence for the hypothesis that these new MS disease risk-associated SNPs influence disease severity.

Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data

International Nuclear Information System (INIS)

Gubernatis, J.E.; Bonca, J.; Jarrell, M.

1995-01-01

We present brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. We present the procedure we used, which is due to R. K. Bryan, and summarize several bottleneck issues

Is sweat chloride predictive of severity of cystic fibrosis lung disease assessed by chest computed tomography?

NARCIS (Netherlands)

Caudri, Daan; Zitter, David; Bronsveld, Inez; Tiddens, Harm

BACKGROUND: Cystic Fibrosis (CF) lung disease is characterized by a marked heterogeneity. Sweat chloride-level is a functional marker of the CF Transmembrane Regulator (CFTR) protein and could be an important predictor of later disease severity. METHODS: In this retrospective analysis children from

Fiducial inference - A Neyman-Pearson interpretation

NARCIS (Netherlands)

Salome, D; VonderLinden, W; Dose,; Fischer, R; Preuss, R

1999-01-01

Fisher's fiducial argument is a tool for deriving inferences in the form of a probability distribution on the parameter space, not based on Bayes's Theorem. Lindley established that in exceptional situations fiducial inferences coincide with posterior distributions; in the other situations fiducial

Uncertainty in prediction and in inference

NARCIS (Netherlands)

Hilgevoord, J.; Uffink, J.

1991-01-01

The concepts of uncertainty in prediction and inference are introduced and illustrated using the diffraction of light as an example. The close re-lationship between the concepts of uncertainty in inference and resolving power is noted. A general quantitative measure of uncertainty in

Influence of smoking on disease severity and antimalarial therapy in cutaneous lupus erythematosus

DEFF Research Database (Denmark)

Kuhn, A; Sigges, J; Biazar, C

2014-01-01

. Smoking behaviour was assessed by the EUSCLE Core Set Questionnaire in 838 patients and statistically analysed using an SPSS database. The results were correlated with the Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) and the efficacy of antimalarial treatment. RESULTS: A high...

Alexithymia, Assertiveness and Psychosocial Functioning in HIV: Implications for Medication Adherence and Disease Severity.

Science.gov (United States)

McIntosh, Roger C; Ironson, Gail; Antoni, Michael; Fletcher, Mary Ann; Schneiderman, Neil

2016-02-01

Psychosocial function and adherence to antiretroviral regimen are key factors in human immunodeficiency virus (HIV) disease management. Alexithymia (AL) is a trait deficit in the ability to identify and describe feelings, emotions and bodily sensations. A structural equation model was used to test whether high levels of AL indirectly relate to greater non-adherent behavior and HIV disease severity via psychosocial dysfunction. Blood draws for HIV-1 viral load and CD4 T-lymphocyte, along with psychosocial surveys were collected from 439 HIV positive adults aged 18-73 years. The structural model supports significant paths from: (1) AL to non-active patient involvement, psychological distress, and lower social support, (2) psychological distress and non-active involvement to non-adherent behavior, and (3) non-adherence to greater HIV disease severity (CFI = .97, RMSEA = .04, SRMR = .05). A second model confirmed the intermediary effect of greater patient assertiveness on the path from AL to social support and non-active patient involvement (CFI = .94, RMSEA = .04, SRMR = .05). Altogether, AL is indirectly linked with HIV disease management through it's association with poor psychosocial function, however greater patient assertiveness buffers the negative impact of AL on relationship quality with healthcare providers and members of one's social support network.

EBV-Associated Lymphoproliferative Disorder and Hemophagocytic Lymphohistiocytosis in a Patient with Severe Celiac Disease

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John Jacob Kinross-Wright

2018-01-01

Full Text Available Background. Epstein-Barr virus- (EBV- associated lymphoproliferative disease (LPD is a rare condition, usually occurring in immunocompromised patients. We report a case of EBV-associated LPD in a patient with severe celiac disease, the first report to describe this syndrome in a patient with this diagnosis. Case Summary. A 69-year-old Caucasian woman with recent diagnosis of celiac sprue presented to our hospital with persistent diarrhea, abdominal pain, weight loss, and fatigue despite adherence to gluten-free diet for a number of weeks prior to presentation. She underwent evaluation for occult malignancy and was found to have diffuse intra-abdominal mesenteric lymphadenopathy on CT scan. Biopsy of mesenteric nodes revealed an EBV positive, CD20 positive mixed lymphoproliferative process with T-cell predominance, but without a monoclonal cell population felt to be consistent with EBV-associated LPD. Bone marrow biopsy revealed hemophagocytic lymphohistiocytosis, complicating her course. She was treated with steroids and rituximab but continued to decline, eventually developing MSSA bacteremia and succumbing to her disease. Conclusion. To our knowledge, this is the first report of the constellation of celiac sprue, EBV-associated LPD, and hemophagocytic lymphohistiocytosis. Providers caring for patients with severe, uncontrolled celiac disease and adenopathy should consider EBV-associated LPD.

The impact of actual and perceived disease severity on pre-operative psychological well-being and illness behaviour in adult congenital heart disease patients

NARCIS (Netherlands)

Callus, Edward; Utens, Elisabeth M. W. J.; Quadri, Emilia; Ricci, Cristian; Carminati, Mario; Giamberti, Alessandro; Chessa, Massimo

2014-01-01

The purpose of this study was to investigate whether the objective medical parameters related to congenital heart disease and patients' ratings of cardiac disease severity were related to psychological well-being and illness behaviour during the pre-operative period. A total of 143 patients (63 male

IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity.

Science.gov (United States)

Cheng, Liang; Shi, Hongbo; Wang, Zhenzhen; Hu, Yang; Yang, Haixiu; Zhou, Chen; Sun, Jie; Zhou, Meng

2016-07-26

Increasing evidence indicated that long non-coding RNAs (lncRNAs) were involved in various biological processes and complex diseases by communicating with mRNAs/miRNAs each other. Exploiting interactions between lncRNAs and mRNA/miRNAs to lncRNA functional similarity (LFS) is an effective method to explore function of lncRNAs and predict novel lncRNA-disease associations. In this article, we proposed an integrative framework, IntNetLncSim, to infer LFS by modeling the information flow in an integrated network that comprises both lncRNA-related transcriptional and post-transcriptional information. The performance of IntNetLncSim was evaluated by investigating the relationship of LFS with the similarity of lncRNA-related mRNA sets (LmRSets) and miRNA sets (LmiRSets). As a result, LFS by IntNetLncSim was significant positively correlated with the LmRSet (Pearson correlation γ2=0.8424) and LmiRSet (Pearson correlation γ2=0.2601). Particularly, the performance of IntNetLncSim is superior to several previous methods. In the case of applying the LFS to identify novel lncRNA-disease relationships, we achieved an area under the ROC curve (0.7300) in experimentally verified lncRNA-disease associations based on leave-one-out cross-validation. Furthermore, highly-ranked lncRNA-disease associations confirmed by literature mining demonstrated the excellent performance of IntNetLncSim. Finally, a web-accessible system was provided for querying LFS and potential lncRNA-disease relationships: http://www.bio-bigdata.com/IntNetLncSim.

Severity of Airflow Obstruction in Chronic Obstructive Pulmonary Disease (COPD): Proposal for a New Classification.

Science.gov (United States)

Coton, Sonia; Vollmer, William M; Bateman, Eric; Marks, Guy B; Tan, Wan; Mejza, Filip; Juvekar, Sanjay; Janson, Christer; Mortimer, Kevin; P A, Mahesh; Buist, A Sonia; Burney, Peter G J

2017-10-01

Current classifications of Chronic Obstructive Pulmonary Disease (COPD) severity are complex and do not grade levels of obstruction. Obstruction is a simpler construct and independent of ethnicity. We constructed an index of obstruction severity based on the FEV 1 /FVC ratio, with cut-points dividing the Burden of Obstructive Lung Disease (BOLD) study population into four similarly sized strata to those created by the GOLD criteria that uses FEV 1 . We measured the agreement between classifications and the validity of the FEV 1 -based classification in identifying the level of obstruction as defined by the new groupings. We compared the strengths of association of each classification with quality of life (QoL), MRC dyspnoea score and the self-reported exacerbation rate. Agreement between classifications was only fair. FEV 1 -based criteria for moderate COPD identified only 79% of those with moderate obstruction and misclassified half of the participants with mild obstruction as having more severe COPD. Both scales were equally strongly associated with QoL, exertional dyspnoea and respiratory exacerbations. Severity assessed using the FEV 1 /FVC ratio is only in moderate agreement with the severity assessed using FEV 1 but is equally strongly associated with other outcomes. Severity assessed using the FEV 1 /FVC ratio is likely to be independent of ethnicity.

Effects of disease severity and medication state on postural control asymmetry during challenging postural tasks in individuals with Parkinson's disease.

Science.gov (United States)

Barbieri, Fabio A; Polastri, Paula F; Baptista, André M; Lirani-Silva, Ellen; Simieli, Lucas; Orcioli-Silva, Diego; Beretta, Victor S; Gobbi, Lilian T B

2016-04-01

The aim of this study was to investigate the effects of disease severity and medication state on postural control asymmetry during challenging tasks in individuals with Parkinson's disease (PD). Nineteen people with PD and 11 neurologically healthy individuals performed three standing task conditions: bipedal standing, tandem and unipedal adapted standing; the individuals with PD performed the tasks in ON and OFF medication state. The participants with PD were distributed into 2 groups according to disease severity: unilateral group (n=8) and bilateral group (n=11). The two PD groups performed the evaluations both under and without the medication. Two force plates were used to analyze the posture. The symmetric index was calculated for various of center of pressure. ANOVA one-way (groups) and two-way (PD groups×medication), with repeated measures for medication, were calculated. For main effects of group, the bilateral group was more asymmetric than CG. For main effects of medication, only unipedal adapted standing presented effects of PD medication. There was PD groups×medication interaction. Under the effects of medication, the unilateral group presented lower asymmetry of RMS in anterior-posterior direction and area than the bilateral group in unipedal adapted standing. In addition, the unilateral group presented lower asymmetry of mean velocity, RMS in anterior-posterior direction and area in unipedal standing and area in tandem adapted standing after a medication dose. Postural control asymmetry during challenging postural tasks was dependent on disease severity and medication state in people with PD. The bilateral group presented higher postural control asymmetry than the control and unilateral groups in challenging postural tasks. Finally, the medication dose was able to reduce postural control asymmetry in the unilateral group during challenging postural tasks. Copyright © 2015 Elsevier B.V. All rights reserved.

Conditional predictive inference for online surveillance of spatial disease incidence

Science.gov (United States)

Corberán-Vallet, Ana; Lawson, Andrew B.

2012-01-01

This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of multiple comparisons, we incorporate a common probability that each small area signals an alarm when no change in the risk pattern of disease takes place into the analysis. We investigate the performance of the proposed surveillance technique within the framework of Bayesian hierarchical Poisson models using a simulation study. Finally, we present a case study of salmonellosis in South Carolina. PMID:21898522

Interactive Instruction in Bayesian Inference

DEFF Research Database (Denmark)

Khan, Azam; Breslav, Simon; Hornbæk, Kasper

2018-01-01

An instructional approach is presented to improve human performance in solving Bayesian inference problems. Starting from the original text of the classic Mammography Problem, the textual expression is modified and visualizations are added according to Mayer’s principles of instruction. These pri......An instructional approach is presented to improve human performance in solving Bayesian inference problems. Starting from the original text of the classic Mammography Problem, the textual expression is modified and visualizations are added according to Mayer’s principles of instruction....... These principles concern coherence, personalization, signaling, segmenting, multimedia, spatial contiguity, and pretraining. Principles of self-explanation and interactivity are also applied. Four experiments on the Mammography Problem showed that these principles help participants answer the questions...... that an instructional approach to improving human performance in Bayesian inference is a promising direction....

PREVALENCE AND PREDICTORS OF CORONARY ARTERY DISEASE IN SEVERE AORTIC STENOSIS PATIENTS UNDERGOING SURGERY

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Narayanapilai Jayaprasad

2017-09-01

Full Text Available BACKGROUND The present study is to find out the prevalence of CAD in severe Aortic Stenosis (AS patients undergoing aortic valve replacement and the relation between the conventional risk factors and CAD in them. Calcific aortic stenosis is associated with the same risk factors as coronary artery disease. Studies on calcific aortic stenosis and CAD are rarely reported from India. The aim of the study is to find out the predictive value of angina for presence of CAD in severe aortic stenosis. MATERIALS AND METHODS All cases of isolated severe aortic stenosis undergoing CAG before aortic valve replacement were included in the study. Data regarding various risk factors, symptoms, echocardiographic parameters and angiographic profile were collected. RESULTS Among a total of 94 patients who have undergone aortic valve replacement for severe AS 40 (42.6% had CAD. Risk factors like advanced age, hypertension, diabetes and smoking were more in patients with CAD compared to isolate AS. Mean gradient was more in the AS + CAD group compared with AS group. Presence of angina had a sensitivity of 82.5% and specificity of 51.85% for predicting coexisting CAD. CONCLUSION Among severe aortic stenosis, patients undergoing AVR 42.6% of patients had significant obstructive CAD. The conventional risk factors predict presence of coronary artery disease. Angina has got a fairly good sensitivity, but moderate specificity for CAD.

Inferring Phylogenetic Networks Using PhyloNet.

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Wen, Dingqiao; Yu, Yun; Zhu, Jiafan; Nakhleh, Luay

2018-07-01

PhyloNet was released in 2008 as a software package for representing and analyzing phylogenetic networks. At the time of its release, the main functionalities in PhyloNet consisted of measures for comparing network topologies and a single heuristic for reconciling gene trees with a species tree. Since then, PhyloNet has grown significantly. The software package now includes a wide array of methods for inferring phylogenetic networks from data sets of unlinked loci while accounting for both reticulation (e.g., hybridization) and incomplete lineage sorting. In particular, PhyloNet now allows for maximum parsimony, maximum likelihood, and Bayesian inference of phylogenetic networks from gene tree estimates. Furthermore, Bayesian inference directly from sequence data (sequence alignments or biallelic markers) is implemented. Maximum parsimony is based on an extension of the "minimizing deep coalescences" criterion to phylogenetic networks, whereas maximum likelihood and Bayesian inference are based on the multispecies network coalescent. All methods allow for multiple individuals per species. As computing the likelihood of a phylogenetic network is computationally hard, PhyloNet allows for evaluation and inference of networks using a pseudolikelihood measure. PhyloNet summarizes the results of the various analyzes and generates phylogenetic networks in the extended Newick format that is readily viewable by existing visualization software.

Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling

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Wang Woei-Fuh

2008-03-01

Full Text Available Abstract Background With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few approaches have studied subtle and indirect interaction such as genetic compensation, the existence of which is widely recognized although its mechanism has yet to be clarified. Furthermore, when inferring gene networks most models include only observed variables whereas latent factors, such as proteins and mRNA degradation that are not measured by microarrays, do participate in networks in reality. Results Motivated by inferring transcriptional compensation (TC interactions in yeast, a stepwise structural equation modeling algorithm (SSEM is developed. In addition to observed variables, SSEM also incorporates hidden variables to capture interactions (or regulations from latent factors. Simulated gene networks are used to determine with which of six possible model selection criteria (MSC SSEM works best. SSEM with Bayesian information criterion (BIC results in the highest true positive rates, the largest percentage of correctly predicted interactions from all existing interactions, and the highest true negative (non-existing interactions rates. Next, we apply SSEM using real microarray data to infer TC interactions among (1 small groups of genes that are synthetic sick or lethal (SSL to SGS1, and (2 a group of SSL pairs of 51 yeast genes involved in DNA synthesis and repair that are of interest. For (1, SSEM with BIC is shown to outperform three Bayesian network algorithms and a multivariate autoregressive model, checked against the results of qRT-PCR experiments. The predictions for (2 are shown to coincide with several known pathways of Sgs1 and its partners that are involved in DNA replication, recombination and repair. In addition, experimentally testable interactions of Rad27 are predicted. Conclusion SSEM is a useful tool for inferring genetic networks, and the

A rational inference approach to group and individual-level sentence comprehension performance in aphasia.

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Warren, Tessa; Dickey, Michael Walsh; Liburd, Teljer L

2017-07-01

The rational inference, or noisy channel, account of language comprehension predicts that comprehenders are sensitive to the probabilities of different interpretations for a given sentence and adapt as these probabilities change (Gibson, Bergen & Piantadosi, 2013). This account provides an important new perspective on aphasic sentence comprehension: aphasia may increase the likelihood of sentence distortion, leading people with aphasia (PWA) to rely more on the prior probability of an interpretation and less on the form or structure of the sentence (Gibson, Sandberg, Fedorenko, Bergen & Kiran, 2015). We report the results of a sentence-picture matching experiment that tested the predictions of the rational inference account and other current models of aphasic sentence comprehension across a variety of sentence structures. Consistent with the rational inference account, PWA showed similar sensitivity to the probability of particular kinds of form distortions as age-matched controls, yet overall their interpretations relied more on prior probability and less on sentence form. As predicted by rational inference, but not by other models of sentence comprehension in aphasia, PWA's interpretations were more faithful to the form for active and passive sentences than for direct object and prepositional object sentences. However contra rational inference, there was no evidence that individual PWA's severity of syntactic or semantic impairment predicted their sensitivity to form versus the prior probability of a sentence, as cued by semantics. These findings confirm and extend previous findings that suggest the rational inference account holds promise for explaining aphasic and neurotypical comprehension, but they also raise new challenges for the account. Copyright © 2017 Elsevier Ltd. All rights reserved.

Disease severity estimates - effects of rater accuracy and assessments methods for comparing treatments

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Assessment of disease is fundamental to the discipline of plant pathology, and estimates of severity are often made visually. However, it is established that visual estimates can be inaccurate and unreliable. In this study estimates of Septoria leaf blotch on leaves of winter wheat from non-treated ...

Serum Homocysteine Level in Parkinson's Disease and Its Association with Duration, Cardinal Manifestation, and Severity of Disease.

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Saadat, Payam; Ahmadi Ahangar, Alijan; Samaei, Seyed Ehsan; Firozjaie, Alireza; Abbaspour, Fatemeh; Khafri, Sorrayya; Khoddami, Azam

2018-01-01

Due to the high prevalence of Parkinson's disease (PD) in the elderly, a large financial burden is imposed on the families and health systems of countries in addition to the problems related to the mobility impairment caused by the disease for the patients. Studies on controversial issues in this disease are taken into consideration, and one of these cases is the role of serum homocysteine level in Parkinson's patients. In this study, the serum level of homocysteine and its association with various variables in relation to this disease was compared with healthy individuals. In this study, 100 patients with PD and 100 healthy individuals as control group were investigated. Serum homocysteine level and demographic and clinical data were included in the checklist. Data were analyzed by SPSS version 23. In all tests, the significance level was below 0.05. The mean level of serum homocysteine in case and control groups was 14.93 ± 8.30 and 11.52 ± 2.86  µ mol/L, respectively (95% CI: 1.68; 5.14, P level, while 15 had high serum homocysteine level. In controls, the homocysteine level was 98 and 2, respectively ( P =0.002). In multivariate logistic regression analysis, serum homocysteine level higher than 20  µ mol/L was accompanied by 8.64-fold in Parkinson's disease involvement (95% CI: 1.92; 38.90, P =0.005). Increasing serum homocysteine level elevates the rate to having PD. Serum homocysteine levels did not have any relationship with the duration of the disease, type of cardinal manifestation, and the severity of Parkinson's disease.

Investigating Therapeutic Potential of Trigonella foenum-graecum L. as Our Defense Mechanism against Several Human Diseases

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Shivangi Goyal

2016-01-01

Full Text Available Current lifestyle, stress, and pollution have dramatically enhanced the progression of several diseases in human. Globally, scientists are looking for therapeutic agents that can either cure or delay the onset of diseases. Medicinal plants from time immemorial have been used frequently in therapeutics. Of many such plants, fenugreek is one of the oldest herbs which have been identified as an important medicinal plant by the researchers around the world. It is potentially beneficial in a number of diseases such as diabetes, hypercholesterolemia, and inflammation and probably in several kinds of cancers. It has industrial applications such as synthesis of steroidal hormones. Its medicinal properties and their role in clinical domain can be attributed to its chemical constituents. The 3 major chemical constituents which have been identified as responsible for principle health effects are galactomannan, 4-OH isoleucine, and steroidal saponin. Numerous experiments have been carried out in vivo and in vitro for beneficial effects of both the crude chemical and of its active constituent. Due to its role in health care, the functional food industry has referred to it as a potential nutraceutical. This paper is about various medicinal benefits of fenugreek and its potential application as therapeutic agent against several diseases.

Broader Considerations of Higher Doses of Donepezil in the Treatment of Mild, Moderate, and Severe Alzheimer's Disease

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Camryn Berk

2012-01-01

Full Text Available Donepezil, a highly selective acetylcholinesterase inhibitor (AChEI, is approved as a symptomatic treatment mild, moderate, and severe Alzheimer's disease (AD. Donepezil exerts its treatment effect through multiple mechanisms of action including nicotinic receptor stimulation, mitigation of excitotoxicity, and influencing APP processing. The use of donepezil at higher doses is justified given the worsening cholinergic deficit as the disease advances. Donepezil has been investigated in several clinical trials of subjects with moderate-to-severe AD. While the side effects are class specific (cholinergically driven, demonstrable benefit has been shown at the 10 mg dose and the 23 mg doses. Here, we review the clinical justification, efficacy, safety, and tolerability of use of donepezil in the treatment of moderate-to-severe AD.

Active Inference, homeostatic regulation and adaptive behavioural control.

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Pezzulo, Giovanni; Rigoli, Francesco; Friston, Karl

2015-11-01

We review a theory of homeostatic regulation and adaptive behavioural control within the Active Inference framework. Our aim is to connect two research streams that are usually considered independently; namely, Active Inference and associative learning theories of animal behaviour. The former uses a probabilistic (Bayesian) formulation of perception and action, while the latter calls on multiple (Pavlovian, habitual, goal-directed) processes for homeostatic and behavioural control. We offer a synthesis these classical processes and cast them as successive hierarchical contextualisations of sensorimotor constructs, using the generative models that underpin Active Inference. This dissolves any apparent mechanistic distinction between the optimization processes that mediate classical control or learning. Furthermore, we generalize the scope of Active Inference by emphasizing interoceptive inference and homeostatic regulation. The ensuing homeostatic (or allostatic) perspective provides an intuitive explanation for how priors act as drives or goals to enslave action, and emphasises the embodied nature of inference. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Chronic nitrate enrichment decreases severity and induces protection against an infectious disease.

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Smallbone, Willow; Cable, Jo; Maceda-Veiga, Alberto

2016-05-01

Excessive fertilisation is one of the most pernicious forms of global change resulting in eutrophication. It has major implications for disease control and the conservation of biodiversity. Yet, the direct link between nutrient enrichment and disease remains largely unexplored. Here, we present the first experimental evidence that chronic nitrate enrichment decreases severity and induces protection against an infectious disease. Specifically, this study shows that nitrate concentrations ranging between 50 and 250mgNO3(-)/l reduce Gyrodactylus turnbulli infection intensity in two populations of Trinidadian guppies Poecilia reticulata, and that the highest nitrate concentration can even clean the parasites from the fish. This added to the fact that host nitrate pre-exposure altered the fish epidermal structure and reduced parasite intensity, suggests that nitrate protected the host against the disease. Nitrate treatments also caused fish mortality. As we used ecologically-relevant nitrate concentrations, and guppies are top-consumers widely used for mosquito bio-control in tropical and often nutrient-enriched waters, our results can have major ecological and social implications. In conclusion, this study advocates reducing nitrate level including the legislative threshold to protect the aquatic biota, even though this may control an ectoparasitic disease. Copyright © 2016 Elsevier Ltd. All rights reserved.

Generative Inferences Based on Learned Relations

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Chen, Dawn; Lu, Hongjing; Holyoak, Keith J.

2017-01-01

A key property of relational representations is their "generativity": From partial descriptions of relations between entities, additional inferences can be drawn about other entities. A major theoretical challenge is to demonstrate how the capacity to make generative inferences could arise as a result of learning relations from…

Induction and maintenance infliximab therapy for the treatment of moderate-to-severe Crohn's disease in children

DEFF Research Database (Denmark)

Hyams, Jeffrey; Crandall, Wallace; Kugathasan, Subra

2006-01-01

BACKGROUND AND AIMS: The REACH study evaluated the safety and efficacy of infliximab in children with moderately to severely active Crohn's disease. METHODS: Patients (n = 112) with a Pediatric Crohn's Disease Activity Index (PCDAI) score >30 received infliximab 5 mg/kg at weeks 0, 2, and 6...

Laboratory markers of disease severity in Plasmodium knowlesi infection: a case control study

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Willmann Matthias

2012-10-01

Full Text Available Abstract Background Plasmodium knowlesi malaria causes severe disease in up to 10% of cases in Malaysian Borneo and has a mortality rate of 1 - 2%. However, laboratory markers with the ability to identify patients at risk of developing complications have not yet been assessed as they have for other species of Plasmodium. Methods A case control study was undertaken in two hospitals in Sarikei and Sibu, Malaysian Borneo. One hundred and ten patients with uncomplicated (n = 93 and severe (n = 17 P. knowlesi malaria were studied. Standardized pigment-containing neutrophil (PCN count, parasite density and platelet counts were determined and analysed by logistic regression and receiver operating characteristic (ROC analysis. Results The PCN count was strongly associated with risk of disease severity. Patients with high parasite density (≥ 35,000/μl or with thrombocytopaenia (≤ 45,000/μl were also more likely to develop complications (odds ratio (OR = 9.93 and OR = 5.27, respectively. The PCN count yielded the highest area under the ROC curve (AUC estimate among all markers of severity (AUC = 0.8561, 95% confidence interval: 0.7328, 0.9794. However, the difference between all parameter AUC estimates was not statistically significant (Wald test, p = 0.73. Conclusion Counting PCN is labour-intensive and not superior in predicting severity over parasitaemia and platelet counts. Parasite and platelet counts are simpler tests with an acceptable degree of precision. Any adult patient diagnosed with P. knowlesi malaria and having a parasite count ≥35,000/μl or ≥1% or a platelet count ≤45,000/μl can be regarded at risk of developing complications and should be managed according to current WHO guidelines for the treatment of severe malaria.

Frequency of the severe combined immunodeficiency disease gene among horses in Morocco.