Disease Epidemiology / Clinical Course / Cardiovascular

(B-034) A Retrospective Cohort Analysis of the Prevalence of Hypertrophic Cardiomyopathy in the US Pediatric Population

(B-025) Association Between Perioperative Hemoglobin Transfusion Thresholds and Renal Adverse Events in Cardiac Surgery: A Regression Discontinuity Cohort Study of 10,337 Patients

(B-031) Changes in Outpatient Care Utilization Among Medicare Beneficiaries with Atrial Fibrillation Following the Covid-19 Pandemic

(B-032) Characteristics of Patients Initiating Glucagon-like Peptide-1 (GLP-1) Receptor Agonists (RAs) for Cardiometabolic Risk Reduction in a Medicare Population

(B-033) Characteristics of Patients Initiating Wegovy (Semaglutide) for Cardiovascular Risk Reduction in a Medicare Population

(B-038) Evaluating the Impact of Kidney Dysfunction on Cardiovascular Diseases Using the Global Burden of Disease Study

(B-026) Herpes zoster Infection and Its Association with Myocardial Infarction: Insights from a Nationwide Self-Controlled Case Series Study

(B-027) Incidence of cardiac events in patients with moderate to severe COPD: a retrospective analysis of US claims data

(B-029) Predictors of initiation, adherence, and persistence to guideline-directed medical therapy following heart failure hospitalizations

(B-037) Quantifying Risk in Patients Diagnosed with Pulmonary Embolism Using Electronic Health Record Data with Truveta

(B-030) Social Determinants of Health and Disparities in GLP-1 Therapy Access Among Type 2 Diabetes Patients with Stage 2 CKM: Insights from NHANES Data

(B-028) The Association Between Dose and Formulation of Long-term Opioid Therapy and the Risk of Cardiovascular Outcomes in Older Adults

(B-036) Timely Disease Surveillance: Can a Large National EHR Network be Used to Estimate National and State Prevalence of Obesity and Type 2 Diabetes?

(B-035) Use of lipid lowering therapies (LLTs) among adults by type 2 diabetes (T2D) diagnosis, with discordant apolipoprotein B (apoB) and LDL-cholesterol (LDL-C) values using US real-world data