ASCVD 10-Year Risk Calculator
Estimate 10-year risk of atherosclerotic cardiovascular disease using the ACC/AHA Pooled Cohort Equations, combining age, cholesterol, blood pressure, diabetes, and smoking status.
Formula & Reference
| Variable | Symbol | Formula | Units |
|---|---|---|---|
| ASCVD 10-Year Risk Calculator | — | Risk = 1 − S₁₀^exp(Σβx − mean) | percent |
Step-by-Step Examples
45-year-old white woman, total cholesterol 180, HDL 65, SBP 112, untreated, no diabetes, non-smoker.
- Favourable HDL and blood pressure hold the linear predictor well below the cohort mean
- Younger age contributes a small age term
- Estimated risk falls well under 1%
60-year-old white man, total cholesterol 220, HDL 42, SBP 138, untreated, no diabetes, non-smoker.
- Age and total cholesterol dominate the linear predictor
- Modest HDL provides limited offset
- Estimated risk lands in the 7.5–20% band
68-year-old African American man, total cholesterol 240, HDL 35, SBP 158 on treatment, diabetic, current smoker.
- Treated hypertension applies the higher SBP coefficient
- Diabetes and smoking each add substantially
- Combined effect pushes risk far above the 20% threshold
Real-World Applications
Common Mistakes to Avoid
The Pooled Cohort Equations were derived and validated in that age band. Outside it, the model extrapolates and its estimates become unreliable.
Several validation studies found the equations overestimate risk in certain contemporary and non-US populations. Risk-enhancing factors and coronary calcium scoring are often used to refine borderline cases.
Race enters these equations as a crude proxy for the social and structural determinants captured in the original cohorts, not as a biological cause. Newer models such as PREVENT move away from race-based coefficients entirely.