Comparative performance of the two pooled cohort equations for predicting atherosclerotic cardiovascular disease.

ABSTRACT:

Background and aims

Multivariable algorithms have been developed to predict the risk of atherosclerotic cardiovascular disease (ASCVD) to identify high-risk patients. Shortly after the introduction of the AHA/ACC Pooled Cohort Equations (PCE), a systematic overestimation of risk was identified. As such, a revised PCE was proposed to more accurately assess ASCVD risk. This study aims to compare the accuracy of both PCE in predicting ASCVD risk within a large, real-world patient sample in the US.

Methods

This retrospective cohort study identified 20,843 patients aged between 40 and 75 years with no previous ASCVD in an academic healthcare system. Model fit, calibration, and discrimination were compared between PCE using Bayesian Information Criterion (BIC), Hosmer-Lemeshow tes

SUBMITTER: Campos-Staffico AM 

PROVIDER: S-EPMC8527545 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature