Predicting Risk of Cardiovascular Disease Events (PREVENT) Versus Pooled Cohort Equations for 10-Year Atherosclerotic Cardiovascular Disease Risk Prediction: A Meta-Analysis.
Roopeessh Vempati, Meet Patel, John Gallagher et al.
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In 30 seconds
This meta-analysis compared the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations with the Pooled Cohort Equations (PCE) for 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction in 2,296,156 adults without baseline CVD. The study found no significant difference in discrimination between the two methods (pooled standardized mean difference 0.93; P = 0.465), despite substantial heterogeneity.
Key findings
- No significant difference in discrimination between PREVENT and PCE (pooled standardized mean difference 0.93; P = 0.465).
- Substantial heterogeneity was observed (I 2 = 100%).
- Differences in calibration and risk reclassification were reported in several individual studies.
Why it matters
Accurate risk prediction for ASCVD is crucial for effective primary prevention strategies. Understanding the comparative performance of different risk assessment tools can guide clinicians in selecting the most appropriate method for their patient populations.