A5023253601- Cardiac Imaging and Diagnostics
- Coronary Interventions and Diagnostics
- Cardiovascular Function and Risk Factors
- Advanced X-ray and CT Imaging
- Acute Myocardial Infarction Research
- Cardiovascular Disease and Adiposity
- Advanced MRI Techniques and Applications
- Cardiovascular and exercise physiology
- Radiation Dose and Imaging
- Cerebrovascular and Carotid Artery Diseases
- Lipoproteins and Cardiovascular Health
- Medical Imaging Techniques and Applications
- Cardiovascular Effects of Exercise
- Cardiac Health and Mental Health
- Cardiac Valve Diseases and Treatments
- Cardiovascular Health and Risk Factors
- Heart Rate Variability and Autonomic Control
- Heart Failure Treatment and Management
- Cardiac, Anesthesia and Surgical Outcomes
- COVID-19 Clinical Research Studies
- Cardiac Structural Anomalies and Repair
- Physical Activity and Health
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Infective Endocarditis Diagnosis and Management
- Blood Pressure and Hypertension Studies
Houston Methodist
2018-2025
Methodist Hospital
2018-2025
Cornell University
2016-2025
Methodist Hospital
2018-2025
Weill Cornell Medicine
2012-2025
The University of Texas MD Anderson Cancer Center
2024
All India Institute of Medical Sciences
2024
Baylor College of Medicine
2023
University of Tartu
2023
Universidade Nova de Lisboa
2022
The EURO-ENDO registry aimed to study the management and outcomes of patients with infective endocarditis (IE).Prospective cohort 3116 adult (2470 from Europe, 646 non-ESC countries), admitted 156 hospitals in 40 countries between January 2016 March 2018 a diagnosis IE based on ESC 2015 diagnostic criteria. Clinical, biological, microbiological, imaging [echocardiography, computed tomography (CT) scan, 18F-fluorodeoxyglucose positron emission tomography/computed (18F-FDG PET/CT)] data were...
Traditional prognostic risk assessment in patients undergoing non-invasive imaging is based upon a limited selection of clinical and findings. Machine learning (ML) can consider greater number complexity variables. Therefore, we investigated the feasibility accuracy ML to predict 5-year all-cause mortality (ACM) coronary computed tomographic angiography (CCTA), compared performance existing or CCTA metrics. The analysis included 10 030 with suspected artery disease follow-up from COronary CT...
There is increasing interest to make primary data from published research publicly available. We aimed assess the current status of making available in highly-cited journals across scientific literature.We reviewed first 10 original papers 2009 50 with highest impact factor. For each journal we documented policies related public availability and sharing data. Of journals, 44 (88%) had a statement their instructions authors However, there was wide variation requirements, ranging requiring all...
Background— Guidelines for the management of patients with suspected coronary artery disease (CAD) rely on age, sex, and angina typicality–based pretest probabilities angiographically significant CAD derived from invasive angiography (guideline probabilities). Reliability guideline has not been investigated in referred to noninvasive testing. Methods Results— We identified 14048 consecutive who underwent computed tomographic angiography. Angina typicality was recorded use accepted criteria....
Machine learning is becoming a popular and important approach in the field of medical research. In this study, we investigate relative performance various machine methods such as Decision Tree, Naïve Bayes, Logistic Regression, Model Tree Random Forests for predicting incident diabetes using records cardiorespiratory fitness. addition, apply different techniques to uncover potential predictors diabetes. This FIT project study used data 32,555 patients who are free any known coronary artery...
Background— The predictive value of coronary computed tomographic angiography (cCTA) in subjects without chest pain syndrome (CPS) has not been established. We investigated the prognostic artery disease detection by cCTA and determined incremental risk stratification benefit findings compared with clinical factor scoring calcium (CACS) for individuals CPS. Methods Results— An open-label, 12-center, 6-country observational registry 27 125 consecutive patients undergoing CACS was queried, 7590...
Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these due lack of intuition explanation their predictions. The aim this study demonstrate utility various model-agnostic techniques with a case for analyzing outcomes random forest model predicting individuals at risk developing hypertension based on cardiorespiratory fitness data.The dataset used in contains information 23,095...
Poor cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular morbidity and mortality. However, the relationship between CRF atrial fibrillation (AF) less clear. The aim of this analysis was to investigate association incident AF in a large, multiracial cohort that underwent graded exercise treadmill testing.From 1991 2009, total 64 561 adults (mean age, 54.5±12.7 years; 46% female; 64% white) without testing at tertiary care center. Baseline demographic clinical...
Pathologic evidence supports unique sex-specific mechanisms as precursors for acute cardiovascular (CV) events. Current on long-term CV risk among women when compared with men based measures of coronary artery calcium (CAC) remains incomplete. A total 63 215 asymptomatic and were enrolled in the multicentre, CAC Consortium median follow-up 12.6 years. Pooled cohort equation (PCE) scores factor data collected Agatston score other (number lesions vessels, lesion size, volume, plaque density)....
Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and calcium score (CACS), predict presence CAD on computed tomography angiography (CCTA).
The density of atherosclerotic plaque forms the basis for categorizing calcified and noncalcified morphology plaques.To assess whether alterations in across a range measurements provide more detailed understanding disease progression.This cohort study enrolled 857 patients who underwent serial coronary computed tomography angiography 2 or years apart had quantitative plaques throughout entire artery tree. was conducted from 2013 to 2016 at 13 sites 7 countries.The main outcome progression...
Large multicenter studies validating the prognostic value of coronary computed tomographic angiography (CCTA) and left ventricular ejection fraction (LVEF) are lacking. We sought to confirm independent incremental artery disease (CAD) severity measured using 64-slice CCTA over LVEF clinical variables.A large international registry (CONFIRM Registry) was queried, patients with data on were screened. Patients a history myocardial infarction, revascularization, or cardiac transplantation...
AimsTo characterize patient radiation doses from nuclear myocardial perfusion imaging (MPI) and the use of radiation-optimizing ‘best practices’ worldwide, to evaluate relationship between laboratory best practices dose.