AHA PREVENT Risk Calculator.

PREVENT — Predicting Risk of cardiovascular disease EVENTs — is a new family of risk equations released by the American Heart Association in 2024 (Khan et al., Circulation, 2024). It replaces the 2013 Pooled Cohort Equations (PCEs) as the AHA-preferred tool for estimating cardiovascular risk in adults 30–79 who do not already have heart disease. The 2026 ACC/AHA dyslipidemia guideline now formally recommends PREVENT as the primary tool to drive statin and risk-reduction decisions.

PREVENT has three big departures from the older PCEs. First, it is race-free — the old equations had a separate "African American" model that the new analysis showed introduced more error than information. Second, it includes kidney function (eGFR) and metabolic markers (BMI) alongside the classic lipid and BP inputs, reflecting the cardiovascular-kidney-metabolic (CKM) syndrome framework. Third, it estimates both 10-year and 30-year risk — the 30-year horizon better captures the lifetime exposure that drives atherosclerosis.

The 10-year ASCVD number is the headline metric — it estimates your probability of a heart attack or stroke in the next decade. The 2026 ACC/AHA guideline maps it to four tiers: low (<3%), borderline (3–5%), intermediate (5–10%), and high (≥10%). The tier dictates the treatment conversation, not the diagnosis. Intermediate is where most of the clinical decision-making sits — that is where coronary artery calcium (CAC) scoring, risk enhancers (Lp(a), hs-CRP, family history, ApoB), and patient preference change the prescription.

The 10-year total CVD number adds heart failure to the ASCVD denominator and is typically a few points higher. The 30-year number is a *lifetime exposure* framing — useful for younger adults whose 10-year number looks fine but whose 30-year number is alarming because they have decades of exposure left at current trajectory.

PREVENT does not include Lp(a), ApoB, family history of premature CVD, or hs-CRP. These are "risk enhancers" in the 2018+ guidelines — present them to your clinician separately. A normal PREVENT score with elevated Lp(a) (>50 mg/dL) is not low risk. Same for elevated ApoB or premature CVD in first-degree relatives.

PREVENT is also a primary-prevention tool — it is not for adults with established ASCVD (prior MI, stroke, revascularization). Those patients are by definition high-risk and the question is intensity of secondary prevention, not whether to treat.

Across the PREVENT predictor set, the heaviest single lever is non-HDL cholesterol (a proxy for ApoB). Each 1 mmol/L (~38 mg/dL) reduction in non-HDL maps to ~21% lower ASCVD risk in the meta-analyses. Statins, ezetimibe, and PCSK9 inhibitors all hit this directly. Diet matters but is slower and smaller.

Next: blood pressure. Each 10 mmHg reduction in SBP cuts ASCVD risk ~20% across the full range of starting BPs (SPRINT, BPLTTC meta-analysis). Then smoking cessation — quitting cuts CV mortality risk roughly in half within 5 years and the model knows it (the smoking beta is one of the largest). Finally, glycemia: each 1% HbA1c reduction in diabetics cuts ASCVD risk ~14%.

What is not in the model but matters anyway: VO2 max. A 1 MET (3.5 mL/kg/min) increase tracks to a 10–25% all-cause mortality reduction in the largest cohort study to date — bigger than smoking. Use the VO2 max and Zone 2 calculators in conjunction with PREVENT.

The 2024 PREVENT paper validated against 6.6 million U.S. adults found that PREVENT estimates were systematically lower than the 2013 PCEs in most subgroups — meaning the old equations were over-treating people. External validations have largely confirmed this. If you used an older calculator and were told you were intermediate-risk, PREVENT may reclassify you as borderline or low. That does not automatically mean you do not need a statin — it means the conversation has more nuance, and risk enhancers carry more weight.

PREVENT is now the standard. MDCalc, AHA, ACC, and the 2026 ACC/AHA dyslipidemia guideline all use it. Use PREVENT going forward; treat older PCE numbers as historical.