Prevention & lipids

AHA PREVENT Equations and Cardiovascular Disease Risk in Diverse Health Care Populations

J Am Coll CardiolPublished Retrospective cohort study

Authors' conclusion

The PREVENT model moderately discriminated ASCVD incidence across 4 geographically distinct academic health care systems in the United States. However, calibration metrics varied widely across health care systems, sociodemographics, and underlying cardiometabolic comorbidities.

Study context

Population
Patients aged 30 to 79 years without prior atherosclerotic cardiovascular disease (ASCVD), US integrated health care systems, 2010 to 2014
Participants
270,320 patients4 health care systems
Exposure
PREVENT predicted vs observed 10-year ASCVD across 4 US health care systems
  • MGBn = 136,654
  • Mount Sinain = 43,321
  • Pennn = 56,889
  • Vanderbiltn = 33,456
Outcome
Calibration (discordance) and discrimination (C-index) of PREVENT for incident ASCVD
Follow-up
10 years
Methodological detailsmulticentre, external validation
  • Multicentre
  • External validation

Main finding

As reported in the abstract

GroupValueDiscordanceC-index
MGBmean estimated 10-year ASCVD risk 4.9% (SD 4.7%)−71.0%0.70 [95% CI: 0.70-0.70]
Mount Sinaimean estimated 10-year ASCVD risk 6.0% (SD 5.6%)−36.2%0.74 [95% CI: 0.73-0.75]
Pennmean estimated 10-year ASCVD risk 6.0% (SD 5.2%)+1.3%0.69 [95% CI: 0.68-0.70]
Vanderbiltmean estimated 10-year ASCVD risk 4.8% (SD 1.3%)−40.0%0.73 [95% CI: 0.72-0.74]

Value

MGBmean estimated 10-year ASCVD risk 4.9% (SD 4.7%)
Mount Sinaimean estimated 10-year ASCVD risk 6.0% (SD 5.6%)
Pennmean estimated 10-year ASCVD risk 6.0% (SD 5.2%)
Vanderbiltmean estimated 10-year ASCVD risk 4.8% (SD 1.3%)

Discordance

MGB−71.0%
Mount Sinai−36.2%
Penn+1.3%
Vanderbilt−40.0%

C-index

MGB0.70 [95% CI: 0.70-0.70]
Mount Sinai0.74 [95% CI: 0.73-0.75]
Penn0.69 [95% CI: 0.68-0.70]
Vanderbilt0.73 [95% CI: 0.72-0.74]

Observational data: associations, not effects.

Further findings

Calibration by sex (subgroup)

Greater underestimation among women, MGB (discordance)
−80.7%
Greater underestimation among women, Vanderbilt (discordance)
−55.5%
Greater underestimation among men, Mount Sinai (discordance)
−40.7%

Calibration by race and ethnicity (subgroup)

Predictive performance varied across health care systems

Overall calibration, PREVENT vs pooled cohort equations (discordance)

Penn: PREVENT better (PREVENT vs PCE)
+2.5% vs +93.6%
MGB: PREVENT worse (PREVENT vs PCE)
−70.0% vs −41.6%
Mount Sinai: PREVENT worse (PREVENT vs PCE)
−36.4% vs 4.8%
Comparable discrimination

Discrimination by DM or antihypertensive use (subgroup)

Better discrimination among patients without DM or antihypertensives

Original publication

AHA PREVENT Equations and Cardiovascular Disease Risk in Diverse Health Care Populations. J Am Coll Cardiol. Published 22 July 2025. doi:10.1016/j.jacc.2025.04.066

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