Universal Risk Prediction for Individuals With and Without Atherosclerotic Cardiovascular Disease.

ABSTRACT:

Background

American College of Cardiology/American Heart Association guidelines recommend distinct risk classification systems for primary and secondary cardiovascular disease prevention. However, both systems rely on similar predictors (eg, age and diabetes), indicating the possibility of a universal risk prediction approach for major adverse cardiovascular events (MACEs).

Objectives

The authors examined the performance of predictors in persons with and without atherosclerotic cardiovascular disease (ASCVD) and developed and validated a universal risk prediction model.

Methods

Among 9,138 ARIC (Atherosclerosis Risk In Communities) participants with (n = 609) and without (n = 8,529) ASCVD at baseline (1996-1998), we examined established predictors in the risk classifi

SUBMITTER: Mok Y 

PROVIDER: S-EPMC11702005 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature