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Refinement of a Published Gene-Physical Activity Interaction Impacting HDL-Cholesterol: Role of Sex and Lipoprotein Subfractions.
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFUnited States Pooled Cohort Cardiovascular Disease Risk Scores in Adults With Diabetes Mellitus.
JACC Adv
January 2025
Department of Epidemiology, University of California, Los Angeles, California, USA.
Background: There is significant heterogeneity in cardiovascular disease (CVD) risk among patients with diabetes mellitus (DM).
Objectives: The purpose of this study was to develop risk scores for total CVD and its components from a contemporary pooled, observational cohort of U.S.
AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI.
JACC Adv
November 2024
Department of Radiology, Mount Sinai Hospital, New York, New York, USA.
Article Synopsis
- AI-CAC automated left atrial volumetry offers more actionable insights compared to traditional methods like the Agatston coronary artery calcium score, predicting atrial fibrillation (AF) as early as one year.
- The study evaluated the effectiveness of AI-CAC against human-measured left atrial volumes using cardiac magnetic resonance imaging (CMRI) in predicting AF and stroke, alongside established risk scores and biomarkers.
- Results showed that AI-CAC and CMRI provided similar predictive capabilities for AF and stroke over a 15-year period, indicating potential for AI-CAC in clinical settings, but further research is needed to confirm its utility.
Real-world outcomes in cardiac resynchronization therapy patients: Primary results of the SMART registry.
ESC Heart Fail
December 2024
Boston Scientific Corporation, St. Paul, Minnesota, USA.
Article Synopsis
- Cardiac resynchronization therapy (CRT) is effective for treating heart failure but is under-researched in patients with common comorbidities like atrial fibrillation (AF).
- The SMART registry enrolled 2035 patients to assess CRT response based on clinical outcomes over 12 months, focusing on factors like all-cause mortality, hospitalizations, and quality of life.
- Results showed 58.9% of patients improved, but factors like age, AF, and diabetes were linked to lower CRT responsiveness, with patients having AF experiencing higher rates of hospitalizations and mortality compared to those in normal rhythm.
Epidemiological, clinical characterization and treatment patterns of migraine patients in a Colombian cohort from 2018 to 2022.
J Headache Pain
December 2024
Pfizer SAS, Bogota, Colombia.
Background: To describe the epidemiology and clinical characteristics of migraine and the status of treatment in Colombia. Additionally, the use of health resources by patients was measured.
Methods: This was a non-interventional, retrospective, descriptive study conducted in one Colombian Health Management Organization (HMO) from 2018 to 2022 with a follow-up period of 5 years.
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