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Estimate PREVENT risk age and 10-year total cardiovascular disease risk with the published base equation, kidney function, medications, and scenarios.
Last updated: July 22, 2026
Use the published sex-specific base PREVENT-CVD equation with cardiovascular, kidney, and metabolic risk factors.
Guide
The calculator first estimates ten-year total cardiovascular disease risk using the sex-specific, race-free base PREVENT equation. It then applies the published PREVENT risk-age equation, which expresses the same modeled risk as the age of a hypothetical person with an optimal risk-factor profile.
Age, non-HDL and HDL cholesterol, systolic blood pressure, eGFR, diabetes, current smoking, antihypertensive use, and statin use enter the published base equation, including sex-specific interaction terms. Recent laboratory and blood-pressure measurements are materially more reliable than guessed values.
A PREVENT risk age of sixty does not mean heart tissue is literally sixty years old. It is a risk-communication comparison derived from modeled ten-year total CVD risk. It cannot detect plaque, valve disease, rhythm disorders, cardiomyopathy, or an acute medical emergency.
This page implements the publicly reported base ten-year total CVD and PREVENT risk-age equations. It adds current AHA eligibility exclusions, optional BMI context, an out-of-100 explanation, and an explicit model version. The official AHA calculator also provides ASCVD, heart-failure, thirty-year, percentile, UACR, HbA1c, and social-deprivation outputs; this page does not approximate or reverse-engineer them.
Current guidelines use different thresholds for different outcomes and decisions—for example, total CVD risk in a blood-pressure context is not interchangeable with ASCVD risk for lipid decisions. The page therefore reports the modeled total-CVD percentage directly and does not relabel it with a generic low, moderate, or high category.
The comparison panel holds other inputs constant and reruns the same risk equation. The American Heart Association cautions that changing a risk-factor value in a calculator does not estimate the causal benefit of starting, stopping, or changing treatment. The panel is therefore labeled as mathematical re-entry rather than projected treatment benefit.
Calculation steps
Step 1
Age 50 woman; TC 240, HDL 55, SBP 160 treated, eGFR 90; no diabetes, smoking, or statin
Step 2
The calculator first estimates ten-year total cardiovascular disease risk using the sex-specific, race-free base PREVENT equation. It then applies the published PREVENT risk-age equation, which expresses the same modeled risk as the age of a hypothetical person with an optimal risk-factor profile.
Step 3
Validated population: Adults ages 30–79 without known cardiovascular disease. Required measurements: Total and HDL cholesterol, systolic pressure, and eGFR within the published ranges. Binary factors: Current smoking, diabetes, antihypertensive medication, and statin use. Scope: Base 10-year total CVD and risk age only; not the optional or outcome-specific official AHA models.
Step 4
Approximately 5.4% modeled 10-year total CVD risk. This reproduces the example reported in the PREVENT development paper.
The implementation follows the publicly reported sex-specific base PREVENT 10-year total-CVD log-odds equation and the published PREVENT risk-age equation.
| Assumption | How this page handles it |
|---|---|
| Validated population | Adults ages 30–79 without known cardiovascular disease. |
| Required measurements | Total and HDL cholesterol, systolic pressure, and eGFR within the published ranges. |
| Binary factors | Current smoking, diabetes, antihypertensive medication, and statin use. |
| Scope | Base 10-year total CVD and risk age only; not the optional or outcome-specific official AHA models. |
| Input | Output | Why it matters |
|---|---|---|
| Age 50 woman; TC 240, HDL 55, SBP 160 treated, eGFR 90; no diabetes, smoking, or statin | Approximately 5.4% modeled 10-year total CVD risk | This reproduces the example reported in the PREVENT development paper. |
| The same measured profile with current smoking | Approximately 9.3% modeled risk | The published paper reports the corresponding increase for this example. |
| Same profile with smoking changed from yes to no | A lower comparison risk is shown | The scenario holds every other entered factor constant and is not a treatment projection. |
Edge cases
PREVENT is a primary-prevention model and should not be used after known ASCVD or heart failure.
The published model is not validated outside this age range.
The official AHA eligibility guidance excludes several high-risk clinical conditions that require clinician-led assessment.
Guessed cholesterol or eGFR can make a precise-looking result unreliable.
Use it for an educational base PREVENT 10-year total-CVD risk and published risk-age comparison for an adult age 30–79 without known cardiovascular disease using measured clinical inputs.
Do not use it for diagnosis, medication changes, emergency symptoms, people with known cardiovascular disease, or optional PREVENT outcomes not implemented by this page.
No. It independently implements the publicly reported base 10-year total CVD and risk-age equations and links to the official AHA tool.
The PREVENT total-CVD outcome combines atherosclerotic cardiovascular disease and heart failure outcomes defined by the development study.
PREVENT incorporates cardiovascular-kidney-metabolic health, and kidney function enters the published base equation.
No. Medication decisions require clinical assessment, current guidelines, and a discussion of benefits, harms, and risk enhancers.
Medication terms reflect associations in the development data; they do not estimate the causal effect of starting or stopping a drug.
The published equation can produce an out-of-range comparison; the page flags it as directional because the validation population is 30–79.
We use these sources to define the age-counting rule, official context, or life-stage assumptions used by this calculator.
Last updated: July 22, 2026
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