Performance of the American Heart Association’s PREVENT Equations Among Disaggregated Racial and Ethnic Subgroups

作者：Xiaowei Yan, Adrian Matias Bacong, Qiwen Huang, Hannah Husby, Ramzi Dudum, Powell Jose, Latha Palaniappan, Fátima Rodríguez · 发表于：JAMA Cardiology · 年份：2025 · DOI：10.1001/jamacardio.2025.1865 · 被引用次数：32 · 研究领域：Acute Myocardial Infarction Research、Cardiovascular Health and Risk Factors、Diabetes, Cardiovascular Risks, and Lipoproteins

Importance: In the original validation, the Predicting Risk of Cardiovascular Disease (CVD) Events (PREVENT) equations demonstrated good discrimination and calibration among racial and ethnic groups, but the model performance among Asian and Hispanic disaggregated subgroups has not been previously described. Objective: To assess the performance of the PREVENT equations by race and ethnicity, including disaggregated Asian and Hispanic subgroups. Design, Setting, and Participants: This was an electronic health record-based retrospective cohort study of primary care patients aged 30 to 79 years across Sutter Health, a large integrated health system in Northern California, from January 2010 to September 2023. Patients who had at least 2 primary care visits during the study period were eligible for the study (1 484 582). Those outside of the study age range, with prior CVD events in the washout period, missing key predictors, or having at least 1 predictor out of the allowed normal range for the American Heart Association's PREVENT equations, were excluded, leaving a study population of 361 778. Exposure: Eligible patients had complete baseline data required for the PREVENT equations, including non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, body mass index, estimated glomerular filtration rate (or creatinine), diabetes, and current smoking status, and were free from CVD at baseline. Main Outcomes and Measures: The primary o...