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CVD Risk Interpreter - PREVENT

PREVENT equations validated for adults ages 30–79 years who do not have a history of CVD. Estimates cardiovascular risk from routine labs, explains the results and proposes personalized prevention strategies. Developed using North American data and validated in European populations too.
Enter values
 
Value
Unit
Gender
 
 
 
 
 
Optional, but clinically indicated for individuals with diabetes, prediabetes, overweight or obesity, or a history of gestational diabetes
Optional, but clinically indicated for individuals with chronic kidney disease, diabetes, or hypertension
This tool is for informational purposes only and not intended for diagnosis.
BMI:
N/A
uACR:
N/A
eGFRcr:
N/A
HbA1c:
N/A
30-year cardiovascular risk

About — out of 100 people with this risk profile develop cardiovascular disease within 30 years.

Cardiovascular Age
—years

Enter values to reveal the cardiovascular age and how it compares to actual age.

Outcome10-year risk30-year risk
Total CVD
Any heart attack, stroke, or heart failure.
——
ASCVD
Heart attack and stroke caused by atherosclerosis.
——
Heart failure
The heart cannot pump enough blood to meet the body’s needs.
——

Recommended prevention strategies

Blood pressure treatment

Based on total CVD risk and blood-pressure stage

Not assessable
  • Blood pressure was not provided, so a recommendation cannot be made.

Source: 2025 AHA/ACC High Blood Pressure Guideline

Lipid-lowering treatment

Based on ASCVD risk and override conditions

Not assessable
  • The 10-year ASCVD risk could not be calculated. Add missing inputs.
  • If LDL-C is ≥ 190 mg/dL, lipid-lowering therapy is recommended regardless of estimated risk.

Source: 2026 ACC/AHA Dyslipidemia Guideline

Why this beats ChatGPT

CVD Risk Interpreter runs all the AHA PREVENT equations and visually interprets 10- and 30-year total CVD, ASCVD, and heart-failure risk. It also calculates and interprets PREVENT-Age, US-population percentiles, the modifiable share of risk, and triggers blood-pressure and lipid-lowering recommendations based on guideline algorithms. Chatbots don't do that.

All research is done by humans. AI helps with coding and refining text for better readability.

About the site author

My personal mission is to extend human lifespan by collectively adding 1 million years to people's lives.

That’s why I made this site 100% free, no sign-up, no email. Just instant results.

Zsolt Szabo
Zsolt Szabo Founder, Longevity-tools.com
Precision health consultant for labs and clinics

How would you improve this tool ?

Any feedback is welcome at .