PREVENT Risk Score vs the Pooled Cohort Equations in MESA
Authors' conclusion
PREVENT-ASCVD equations demonstrated a more accurate ASCVD risk-prediction stratification than the PCE. PREVENT performs best in women, nonsmokers, those with a greater degree of renal dysfunction, social deprivation, and Black individuals. PREVENT-HF overestimates risk of incident HF in a Multi-Ethnic Study of Atherosclerosis.
Study context
- Population
- Individuals from the MESA (Multi-Ethnic Study of Atherosclerosis) cohortindividuals from the MESA cohort
- Participants
- 6,098 individuals
- Predictors
- PREVENT equations vs Pooled Cohort Equations
- Predicted outcome
- 10-year ASCVD events (and HF for PREVENT-HF)
Model performance
As reported in the abstract
Predicted ASCVD event rate
- Observed atherosclerotic cardiovascular disease (ASCVD) event rate
- 6.0%
Further findings
| Outcome | Values |
|---|---|
| Discordance between observed and PREVENT predicted ASCVD, by subgroup | Women discordance 3.3% · Men discordance −11.6% · Nonsmokers discordance 2.4% · Smokers discordance −37.0% · Chronic kidney disease stages 3/4 discordance 3.2% · High social deprivation scores discordance −5.0% |
Reclassification to a lower ASCVD risk category, PREVENT vs Pooled Cohort Equations (PCE)
- Share of cohort re-classified to a lower ASCVD risk category with PREVENT vs PCE
- Forty-two percent
Heart failure (HF) events, PREVENT-HF
- Overestimation of HF events
- 2.1%
- Relative risk overestimation
- 62.6%
Original publication
PREVENT Risk Score vs the Pooled Cohort Equations in MESA. JACC Adv. Published 26 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →