AHA PREVENT Equations With Lipoprotein(a) and Risk Assessment for Primary Prevention

Quantitative risk estimation is the starting point for decisions regarding use of drug therapy to reduce events in primary prevention of atherosclerotic cardiovascular disease (ASCVD). Equations that predict 10-year risk have steadily improved in their content, relevance, accuracy, and precision over time. When assessing the utility of risk equations for clinical practice, the metrics of discrimination, calibration, and reclassification are of paramount importance. Equations should be evaluated in both the derivation populations and in external samples from diverse populations and settings to understand issues of generalizability and implementation.