AHA PREVENT Equations and Cardiovascular Disease Risk in Diverse Health Care Populations.

ABSTRACT:

Background

The American Heart Association's Predicting Risk of cardiovascular Events (PREVENT) aims to improve cardiovascular risk prediction. Whether PREVENT suitably predicts 10-year incident atherosclerotic cardiovascular disease (ASCVD) in health care populations is unknown.

Objectives

This study sought to evaluate the calibration and discrimination of the PREVENT equations across integrated U.S. health care systems.

Methods

We retrospectively evaluated electronic health records of 270,320 patients (Mass General Brigham [MGB]: 136,654; Mount Sinai Health: 43,321; Penn Medicine: 56,889; Vanderbilt University Medical Center: 33,456) aged 30 to 79 years and without prior ASCVD from 2010 to 2014. We compared 10-year estimated ASCVD risk based on PREVENT and empiricall

SUBMITTER: Cho SMJ 

PROVIDER: S-EPMC12686678 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature