Prevention & lipidsDiagnostic or prognostic study
External validation of cardiovascular risk scores in patients with Type 2 diabetes using the Spanish population-based CARDIANA cohort
- External validation study of risk prediction models (population-based cohort)
Authors' conclusion
In our context, models derived for or adapted to diabetes patients, as well as models derived in the general population but incorporating diabetes-related metabolic measures (such as Hb1Ac) as predictors, demonstrated better performance than the others.
Study context
- Population
- Patients with T2DM and no history of cardiovascular disease (CVD), Navarra, Spain (CARDIANA cohort)
- Participants
- 20,793 patients
- Comparison
- 18 CVD risk scores
- Outcome
- Discrimination (Harrell's C-statistic) and calibration of CVD risk scores for incident CVD
- Follow-up
- 5 years
Performance
As reported in the abstract
Performance of 18 CVD risk scores
- Discrimination moderate for all models; highest C-index with SCORE2-diabetes, National Diabetes Register (NDR), PREDICT1-diabetes, PREVENT-full, Wan, ADVANCE and both DIAL2 models
- All models showed good calibration; most required recalibration, except ADVANCE-, DIAL2- and SCORE2-related models
Further findings
Incident CVD (cumulative incidence) · 5 years
- 991 incident CVD events; cumulative incidence
- 5.0% (95% CI 4.7-5.3)
Original publication
External validation of cardiovascular risk scores in patients with Type 2 diabetes using the Spanish population-based CARDIANA cohort. Eur J Prev Cardiol. Published 29 May 2025. doi:10.1093/eurjpc/zwaf304
Summarised from the published abstract; every number is checked against it