Prevention & lipidsCohort study
PREVENT Equations in Young Adults
- Retrospective cohort study
Authors' conclusion
This large, diverse cohort of young adults demonstrates how the PREVENT equations may perform when applied in real-world clinical settings, reflecting the true operational environment faced by large health systems.
Study context
- Population
- Kaiser Permanente Southern California members aged 20 to 39 years without prior cardiovascular disease (CVD), 2008–2009, followed through 2019aged 30 to 39 years
- Participants
- 161,202 members
- Exposure
- Base vs social deprivation index (SDI)-augmented PREVENT equations, by race and ethnicity
- Outcome
- Performance (Harrell's C, calibration slopes, mean calibration) and fairness (concordance imparity, fair calibration) for predicted vs observed CVD, ASCVD and HF events, age 30-39 years
- Follow-up
- 10 years
Main finding
As reported in the abstract
Base PREVENT CVD model, age 30-39 years
- 10-year CVD incidence
- 0.7%
- Race-specific Harrell's C-statistics, base PREVENT CVD model
- 0.68 to 0.72
- Concordance imparity (fair discrimination)
- 0.04; 95% CI: 0.02-0.22
- Mean calibration, non-Hispanic Black (underprediction)
- 0.54; 95% CI: 0.48-0.65
- Mean calibration, other groups
- 0.96-1.07
Observational data: associations, not effects.
Further findings
Performance and fairness, age 20-29 years (exploratory)
- Performance and fairness results similar
- exploratory analysis; n = 80,978
Original publication
PREVENT Equations in Young Adults. J Am Coll Cardiol. Published 4 February 2026. doi:10.1016/j.jacc.2025.12.019
Summarised from the published abstract; every number is checked against it