Prediction of Cardiovascular Risk Among People with HIV Using the PREVENT Equations Compared to the Pooled Cohort

Matthew S Durstenfeld1,2,3, Megan M McLaughlin4, Monica Gandhi4,5

  • 1Department of Medicine, University of California San Francisco, San Francisco, USA. matthew.durstenfeld@ucsf.edu.

Insights

New PREVENT equations underestimate atherosclerotic cardiovascular disease (ASCVD) risk in people with HIV (PWH), potentially leading to fewer statin recommendations and increased disparities. Further research is needed to refine risk prediction for this population.

Area of Science:

  • Cardiology
  • Public Health
  • Infectious Diseases

Background:

  • People with HIV (PWH) face higher atherosclerotic cardiovascular disease (ASCVD) risks.
  • Existing risk calculators often underestimate ASCVD risk in PWH.
  • The American Heart Association's PREVENT equations have not been evaluated in PWH.

Purpose of the Study:

  • Compare 10-year ASCVD risk predictions between PREVENT and Pooled Cohort Equations (PCE) in PWH.
  • Assess the impact of PREVENT on statin therapy recommendations for PWH.
  • Identify potential disparities in ASCVD risk assessment among PWH.

Main Methods:

  • Cross-sectional observational study utilizing real-world electronic health records.
  • Included PWH aged 40-75 without pre-existing cardiovascular disease.
  • Compared ASCVD risk predicted by PREVENT and PCE, and analyzed statin eligibility based on current guidelines.

Main Results:

  • PREVENT predicted significantly lower 10-year ASCVD risk (median 3.3%) compared to PCE (median 7.7%) in PWH.
  • 97% of individuals had lower predicted risk with PREVENT.
  • Statin recommendations decreased from 67.3% with PCE to 28.6% with PREVENT using a 5% ASCVD risk threshold.

Conclusions:

  • The PREVENT equations underestimate ASCVD risk in PWH compared to PCE.
  • This underestimation could lead to 58% fewer PWH being recommended for statins, potentially increasing cardiovascular disease events.
  • Lowered risk prediction may exacerbate healthcare disparities among PWH.
Abstract

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