Prevention & lipidsDiagnostic or prognostic study

Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals

Nat MedPublished

  • Multinational external validation study of risk prediction equations
  • 44 observational cohorts
  • 18 randomized trials
  • multiregional

Scaling factors created for PREVENT risk prediction over 1-9 years

Authors' conclusion

Despite differences in CVD outcome definitions, target populations and predictor variables, overall discrimination and calibration were similar for both equations, with generally good performance across regions, including in multiregional randomized trials.

Study context

Population
Individuals in observational cohorts and randomized trials across North America, Europe and Asia/Other or multiregional trials44 cohorts · 18 trials
Participants
6,422,714 vs 5,437,384
Comparison
PREVENT vs SCORE2 cardiovascular disease (CVD) risk equations
  • PREVENTn = 6,422,714
  • SCORE2n = 5,437,384
Outcome
Discrimination and calibration of the two risk algorithms across geographical regions

Performance

As reported in the abstract

Discrimination and calibration · 5.1 years mean follow-up
Test or modelTotal CVD events (fatal and non-fatal atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF))CVD events (MI, stroke or CV death)
PREVENT293,737
SCORE2258,086

Original publication

Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals. Nat Med. Published 5 May 2026. doi:10.1038/s41591-026-04437-z

Summarised from the published abstract; every number is checked against it