Cardiovascular Disease Risk Prediction in the HIV Outpatient Study.

ABSTRACT:

Background

 Cardiovascular disease (CVD) risk prediction tools are often applied to populations beyond those in which they were designed when validated tools for specific subpopulations are unavailable.

Methods

 Using data from 2283 human immunodeficiency virus (HIV)-infected adults aged ≥18 years, who were active in the HIV Outpatient Study (HOPS), we assessed performance of 3 commonly used CVD prediction models developed for general populations: Framingham general cardiovascular Risk Score (FRS), American College of Cardiology/American Heart Association Pooled Cohort equations (PCEs), and Systematic COronary Risk Evaluation (SCORE) high-risk equation, and 1 model developed in HIV-infected persons: the Data Collection on Adverse Effects of Anti-HIV Drugs (D:A:D) study equat

SUBMITTER: Thompson-Paul AM 

PROVIDER: S-EPMC5624518 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature