Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach

ObjectiveBicuspid aortic valve (BAV) has been associated with less atherosclerosis as compared with tricuspid aortic valve (TAV) patients. It, however, remains unclear whether this reflects the older age of TAV patients and/or accumulation of atherosclerotic risk factors or that the BAV phenotype is atheroprotective. Therefore, we compared the atherosclerotic disease burden of BAV and TAV patients, with that of the general (age-matched) population.MethodsThe prevalence of coronary artery disease (CAD) and CAD risk factors in BAV and TAV patients who underwent aortic valve surgery were compared with the Dutch general practitioners registry data. BAV (n=454) and TAV (n=1101) patients were divided into four groups: BAV with aortic valve stenosis (BAV-AoS), BAV with aortic valve regurgitation (BAV-AR), TAV with AoS (TAV-AoS) and TAV with AR (TAV-AR). The atherosclerotic disease burden of each group was compared with that of the corresponding age cohort for the general population.ResultsCAD risk factors hypertension and hypercholesterolaemia were more prevalent in the surgery groups than the age-matched general population (all p<0.001). All BAVs (BAV-AoS and BAV-AR) and TAV-AR had a similar incidence of CAD history as compared to the age-matched general populations (p=0.689, p=0.325 and p=0.617 respectively), whereas TAV-AoS had a higher incidence (21.6% versus 14.9% in the age-matched general population, p<0.001).ConclusionsStenotic TAV disease is part of the atherosclerotic disease spectrum, while regurgitant TAV and all BAVs are not. Although the prevalence of cardiovascular risk factors is higher in all BAV patients, the prevalence of CAD is similar to the general population.

Download Full-text

Hybrid elicitation and indirect Bayesian inference with quantile-parametrized likelihood

10.31219/osf.io/paby6 ◽

2021 ◽

Author(s):

Dmytro Perepolkin ◽

Benjamin Goodrich ◽

Ullrika Sahlin

Keyword(s):

Bayesian Inference ◽

Bayesian Model ◽

Probability Distributions ◽

Expert Elicitation ◽

Model Based ◽

Dirichlet Prior

This paper extends the application of indirect Bayesian inference to probability distributions defined in terms of quantiles of the observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and interpretability of its parameters, and are therefore useful for elicitation on observables. To encode uncertainty in the quantiles elicited from experts, we propose a Bayesian model based on the metalog distribution and a version of the Dirichlet prior. The resulting “hybrid” expert elicitation protocol for characterizing uncertainty in parameters using questions about the observable quantities is discussed and contrasted to parametric and predictive elicitation.

Download Full-text

A Hierarchical Bayesian Model-Based Uncertainty Analysis for Tsunami Heights along Shorelines in Korea

Journal of Coastal Research ◽

10.2112/si75-232.1 ◽

2016 ◽

Vol 75 (sp1) ◽

pp. 1157-1161 ◽

Cited By ~ 1

Author(s):

Hyun-Han Kwon ◽

Jin-Young Kim ◽

Byoung Han Choi ◽

Yong-Sik Cho

Keyword(s):

Uncertainty Analysis ◽

Bayesian Model ◽

Hierarchical Bayesian ◽

Hierarchical Bayesian Model ◽

Model Based

Download Full-text

Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature Extractor

10.1007/978-3-030-87240-3_38 ◽

2021 ◽

pp. 397-406

Author(s):

Yang Yang ◽

Zhiying Cui ◽

Junjie Xu ◽

Changhong Zhong ◽

Ruixuan Wang ◽

...

Keyword(s):

Bayesian Model ◽

Model Based ◽

Feature Extractor ◽

Continual Learning

Download Full-text

A Bayesian model integration for mutation calling through data partitioning

Bioinformatics ◽

10.1093/bioinformatics/btz233 ◽

2019 ◽

Vol 35 (21) ◽

pp. 4247-4254 ◽

Cited By ~ 2

Author(s):

Takuya Moriyama ◽

Seiya Imoto ◽

Shuto Hayashi ◽

Yuichi Shiraishi ◽

Satoru Miyano ◽

...

Keyword(s):

Hierarchical Model ◽

Bayesian Model ◽

Information Sources ◽

Tumor Model ◽

Bayesian Hierarchical Model ◽

Generative Models ◽

Error Model ◽

Model Integration ◽

Bayesian Hierarchical ◽

Model Based

Abstract Motivation Detection of somatic mutations from tumor and matched normal sequencing data has become among the most important analysis methods in cancer research. Some existing mutation callers have focused on additional information, e.g. heterozygous single-nucleotide polymorphisms (SNPs) nearby mutation candidates or overlapping paired-end read information. However, existing methods cannot take multiple information sources into account simultaneously. Existing Bayesian hierarchical model-based methods construct two generative models, the tumor model and error model, and limited information sources have been modeled. Results We proposed a Bayesian model integration framework named as partitioning-based model integration. In this framework, through introducing partitions for paired-end reads based on given information sources, we integrate existing generative models and utilize multiple information sources. Based on that, we constructed a novel Bayesian hierarchical model-based method named as OHVarfinDer. In both the tumor model and error model, we introduced partitions for a set of paired-end reads that cover a mutation candidate position, and applied a different generative model for each category of paired-end reads. We demonstrated that our method can utilize both heterozygous SNP information and overlapping paired-end read information effectively in simulation datasets and real datasets. Availability and implementation https://github.com/takumorizo/OHVarfinDer. Supplementary information Supplementary data are available at Bioinformatics online.

Download Full-text

Measuring ACPA in the general population or primary care: is it useful?

RMD Open ◽

10.1136/rmdopen-2019-001085 ◽

2020 ◽

Vol 6 (1) ◽

pp. e001085

Author(s):

Axel Finckh ◽

Delphine Courvoisier ◽

Celine Lamacchia

Keyword(s):

Rheumatoid Arthritis ◽

Primary Care ◽

General Population ◽

Disease Burden ◽

Screening Strategy ◽

Screening And Prevention ◽

Significant Disease ◽

Diagnostic Properties ◽

Peptide Antibodies ◽

Subsequent Onset

Rheumatoid arthritis (RA) is associated with a significant disease burden and high costs for society. Because the disease has identifiable preclinical stages, screening and prevention have become a possibility in RA. Anticitrullinated peptide antibodies (ACPAs) are arguably the most likely candidate biomarker to screen for RA. This paper reviews the evidence for the use of ACPAs as a screening test in the broader general population, to identify individuals at high risk of subsequent onset of RA. We will review the diagnostic properties of the test and its positive and negative predictive value in different settings. We will discuss how ACPA testing could effectively be integrated in a broader screening strategy for RA.

Download Full-text

Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.85.2.119 ◽

2019 ◽

Vol 85 (2) ◽

pp. 119-131 ◽

Cited By ~ 2

Author(s):

Yuxin Zhu ◽

Emily Lei Kang ◽

Yanchen Bo ◽

Jinzong Zhang ◽

Yuexiang Wang ◽

...

Keyword(s):

Bayesian Model ◽

Hierarchical Bayesian ◽

Hierarchical Bayesian Model ◽

Model Based ◽

Fixed Rank

Download Full-text

Optimal Nonparametric Bayesian Model-Based Multimodal BoVW Creation Using Multilayer pLSA

Circuits Systems and Signal Processing ◽

10.1007/s00034-019-01307-7 ◽

2019 ◽

Vol 39 (2) ◽

pp. 1123-1132 ◽

Cited By ~ 1

Author(s):

G. Nagarajan ◽

R. I. Minu ◽

A. Jayanthila Devi

Keyword(s):

Bayesian Model ◽

Nonparametric Bayesian ◽

Model Based

Download Full-text

Sinusitis caused by a rare organism, Cedecea lapagei

BMJ Case Reports ◽

10.1136/bcr-2020-235331 ◽

2020 ◽

Vol 13 (7) ◽

pp. e235331

Author(s):

Michael E Duperret

Keyword(s):

General Population ◽

Treatment Failure ◽

Complete Resolution ◽

Disease Burden ◽

Human Infection ◽

Emerging Pathogens ◽

Documented Case ◽

Amoxicillin Clavulanate ◽

Nasal Secretions ◽

Compromised Patients

A 45-year-old man presented with acute sinusitis. He was treated with a 10-day course of trimethoprim/sulfamethoxazole, and a subsequent 14-day course of amoxicillin–clavulanate with no improvement in symptoms. Culture of purulent nasal secretions revealed the rare enterobacter Cedecea lapagei. The patient had complete resolution of his symptoms after a 14-day course of gentamicin/dexamethasone nasal rinses. Emerging pathogens have been a timeless concern for physicians, as witnessed by the current SARS-CoV-2 outbreak. C. lapagei has been reported to cause human infection only a dozen times since its discovery, all in severely compromised patients. This is the first documented case of sinusitis reported with C. lapagei and may portend a rising prevalence of disease burden in the general population. This case demonstrates the necessity of obtaining cultures when standard antibiotics result in treatment failure.

Download Full-text