Prediction models for cardiovascular disease risk among people living with HIV: A systematic review and meta-analysis.

ABSTRACT:

Background

HIV continues to be a major global health issue. The relative risk of cardiovascular disease (CVD) among people living with HIV (PLWH) was 2.16 compared to non-HIV-infections. The prediction of CVD is becoming an important issue in current HIV management. However, there is no consensus on optional CVD risk models for PLWH. Therefore, we aimed to systematically summarize and compare prediction models for CVD risk among PLWH.

Methods

Longitudinal studies that developed or validated prediction models for CVD risk among PLWH were systematically searched. Five databases were searched up to January 2022. The quality of the included articles was evaluated by using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). We applied meta-analysis to pool the logit-tran

SUBMITTER: Yu J 

PROVIDER: S-EPMC10077152 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature