REPRIEVE Analysis of New Cardiovascular Risk Calculators in HIV: Underpredicting Risk Means Preventing Fewer Heart Attacks

Imagine if we could perfectly predict who would have an atherosclerotic cardiovascular disease (ASCVD) event.Even better if we could discern whose heart attack a statin would have prevented.Without a crystal ball, we rely on clinical risk prediction tools.The best tools are easy to use, discriminate well between those with and without future events, and are well-calibrated (predicted equals observed risk across risk strata and subgroups).Imperfect tools need improvement and updating.New equations called Predicting Risk of Cardiovascular Disease Events (PREVENT) were recently developed to replace the American Heart Association/American College of Cardiology's Pooled Cohort Equations (PCE).[1]The PCE overestimate risk in the general population, so PREVENT were designed to predict lower risk (Figure).PREVENT are better calibrated than the PCE in the general population.[2,3] Similarly, Systematic Coronary Risk Evaluation (SCORE) was recently updated in Europe to SCORE2.[4] ASCVD is a major threat to the health of people with HIV (PWH) even with effective HIV treatment, and risk is 1.5 to 2 times higher than the general population.[5][6][7] In contrast to the ------

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Publication Details

Journal
Clinical Infectious Diseases
Published
2025-09-25
DOI
https://doi.org/10.1093/cid/ciaf543
Primary Topic
HIV-related health complications and treatments
Type
article
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article

REPRIEVE Analysis of New Cardiovascular Risk Calculators in HIV: Underpredicting Risk Means Preventing Fewer Heart Attacks

Matthew S. Durstenfeld
Clinical Infectious Diseases
HIV-related health complications and treatments
article

REPRIEVE Analysis of New Cardiovascular Risk Calculators in HIV: Underpredicting Risk Means Preventing Fewer Heart Attacks

Matthew S. Durstenfeld
article en

Abstract

Imagine if we could perfectly predict who would have an atherosclerotic cardiovascular disease (ASCVD) event.Even better if we could discern whose heart attack a statin would have prevented.Without a crystal ball, we rely on clinical risk prediction tools.The best tools are easy to use, discriminate well between those with and without future events, and are well-calibrated (predicted equals observed risk across risk strata and subgroups).Imperfect tools need improvement and updating.New equations called Predicting Risk of Cardiovascular Disease Events (PREVENT) were recently developed to replace the American Heart Association/American College of Cardiology's Pooled Cohort Equations (PCE).[1]The PCE overestimate risk in the general population, so PREVENT were designed to predict lower risk (Figure).PREVENT are better calibrated than the PCE in the general population.[2,3] Similarly, Systematic Coronary Risk Evaluation (SCORE) was recently updated in Europe to SCORE2.[4] ASCVD is a major threat to the health of people with HIV (PWH) even with effective HIV treatment, and risk is 1.5 to 2 times higher than the general population.[5][6][7] In contrast to the ------

Clinical Infectious DiseasesVol. 82(2)
San Francisco General Hospital (US), University of California, Los Angeles (US), University of California, San Francisco (US)
Openalex Percentile: Top 61%
HIV-related health complications and treatments
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