Linking To “The PREVENT (Predicting Risk of Cardiovascular disease EVENTs) equation” With Additional Links

Today, I review, link to, and provide additional resources on The PREVENT (Predicting Risk of Cardiovascular disease EVENTs) equation.

The PREVENT Risk Score Equation (Google Search)

AI Overview

The PREVENT (Predicting Risk of Cardiovascular disease EVENTs) equation is a new American Heart Association (AHA) calculator that assesses 10- and 30-year risk for total cardiovascular disease (CVD), including heart attack, stroke, and heart failure, in adults aged 30-79 without existing CVD, incorporating kidney and metabolic health (CKM) factors and social determinants of health for more personalized, race-free risk prediction. 

Key Features of PREVENT

• Comprehensive Outcomes: Estimates risk for total CVD (ASCVD + Heart Failure), ASCVD (heart attack/stroke), and Heart Failure separately.
• Broader Age Range: Usable for adults 30-79 years, earlier than older tools.
• Race-Free Model: Removes race from the calculation, recognizing it as a social construct, notes this JACC article and this AHA article.
• CKM Integration: Combines heart, kidney (eGFR, UACR), and metabolic (HbA1c) health.
• Social Determinants of Health (SDOH): Optionally includes a zip code-based Social Deprivation Index (SDI) for deeper personalization, notes this AHA article.
• Large Data Source: Developed and validated using data from over 6.5 million US adults. 

Cardiovascular disease risk estimates using the new PREVENT Equation: The good, bad, and the ugly [PubMed Abstract] [Full-Text HDML] [Full-Text PDF]. Am J Prev Cardiol. 2025 Sep 11:24:101288. doi: 10.1016/j.ajpc.2025.101288. eCollection 2025 Dec.

The above article is very important and worth reviewing frequently.

Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) MD+Calc Accessesed 12-17-2025.

It is critical to apply the risk calculator keeping in mind the points made in Cardiovascular disease risk estimates using the new PREVENT Equation: The good, bad, and the ugly above.