{"id":7770,"date":"2025-06-29T11:58:36","date_gmt":"2025-06-29T08:58:36","guid":{"rendered":"https:\/\/jordan-cardiac.org\/?p=7770"},"modified":"2025-06-29T11:58:36","modified_gmt":"2025-06-29T08:58:36","slug":"the-aha-prevent-risk-equations","status":"publish","type":"post","link":"https:\/\/jordan-cardiac.org\/en\/the-aha-prevent-risk-equations\/","title":{"rendered":"The AHA PREVENT Risk Equations"},"content":{"rendered":"
The AHA PREVENT Risk Equations.<\/div>\n
<\/div>\n
Source<\/div>\n
\u2022 Study published: JAMA Cardiology, June 25, 2025<\/span><\/div>\n
\u2022 Summary article: Medscape Medical News, June 27, 2025<\/span><\/div>\n
<\/div>\n
The AHA PREVENT (Predicting Risk of Cardiovascular Disease Events) equations are newer tools developed by the American Heart Association to better estimate a patient\u2019s risk of future cardiovascular disease (CVD)\u2014including heart attacks, strokes, and heart failure.<\/div>\n
<\/div>\n
They are designed to improve on older calculators like the Pooled Cohort Equations, especially in diverse populations.<\/div>\n
<\/div>\n
Study Overview (Published in JAMA Cardiology, June 2025)<\/div>\n
<\/div>\n
1. Objective<\/div>\n
<\/div>\n
To test how well the AHA PREVENT risk calculator works in real-world patients of different ethnicities\u2014particularly Asian and Hispanic populations.<\/div>\n
<\/div>\n
2. Study Design<\/div>\n
\u2022 Retrospective cohort of 361,778 adults (aged 30\u201379) seen at Sutter Health (California) from 2010 to 2023.<\/span><\/div>\n
\u2022 Patients were free of CVD at baseline and had all required labs:<\/span><\/div>\n
\u2022 Non-HDL cholesterol<\/span><\/div>\n
\u2022 Systolic BP<\/span><\/div>\n
\u2022 BMI<\/span><\/div>\n
\u2022 eGFR<\/span><\/div>\n
\u2022 Diabetes and smoking status<\/span><\/div>\n
\u2022 Follow-up: Average of 8.1 years<\/span><\/div>\n
<\/div>\n
Key Findings<\/div>\n
\u2022 22,648 CVD events occurred during follow-up.<\/span><\/div>\n
\u2022 The PREVENT equations predicted risk more accurately than older models across all ethnicities.<\/span><\/div>\n
<\/div>\n
Among Asian groups:<\/div>\n
\u2022 Best performance in Asian Indian subgroup (C-statistic: 0.85).<\/span><\/div>\n
\u2022 Filipino subgroup slightly lower but still good (C-statistic: 0.79).<\/span><\/div>\n
\u2022 In general, risk was slightly overestimated for some Asian subgroups.<\/span><\/div>\n
<\/div>\n
Among Hispanic groups:<\/div>\n
\u2022 Consistent accuracy (C-statistics: 0.80\u20130.82).<\/span><\/div>\n
\u2022 Calibration was strong\u2014meaning predicted risk matched observed events.<\/span><\/div>\n
<\/div>\n
Clinical Takeaways<\/div>\n
\u2022 The PREVENT calculator is a reliable tool for estimating CVD risk in diverse populations, especially in Asian and Hispanic patients.<\/span><\/div>\n
\u2022 It can guide more personalized and equitable preventive care\u2014e.g., statin decisions, blood pressure goals.<\/span><\/div>\n
\u2022 It\u2019s better than previous tools for many ethnic groups.<\/span><\/div>\n
<\/div>\n
Expert Perspective<\/div>\n
This model is an important step forward for populations that were previously underrepresented in CVD prevention guidelines,\u201d said Dr. Nilay Shah, Northwestern University.<\/div>\n
<\/div>\n
https:\/\/www.medscape.com\/viewarticle\/aha-risk-calculator-reveals-unique-cardiovascular-patterns-2025a1000h8c<\/a><\/div>\n
<\/div>\n
(Timeline & Key Differences: ASCVD vs PREVENT Risk<\/span><\/div>\n
Calculators):<\/div>\n
1. 2013 \u2013 ASCVD (Pooled Cohort Equations)<\/span><\/div>\n
\u25aa Released by AHA and ACC<\/div>\n
\u25aa Estimates 10-year risk of heart attack and stroke<\/div>\n
\u25aa Race-based (Black\/White only)<\/div>\n
\u25aa Limited to age 40\u201379<\/div>\n
2. 2018\u20132022 \u2013 Criticism Grows<\/span><\/div>\n
\u25aa Racial bias, poor accuracy in younger and non-White patients<\/div>\n
\u25aa Excludes heart failure or kidney function<\/div>\n
\u25aa Pressure builds for more inclusive models<\/div>\n
3. November 2023 \u2013 AHA Launches PREVENT<\/span><\/div>\n
\u25aa Developed by AHA only (not ACC)<\/div>\n
\u25aa Race-neutral, broader age range (30\u201379)<\/div>\n
\u25aa Predicts total CVD, not just ASCVD<\/div>\n
\u25aa Includes eGFR, HbA1c, and social determinants<\/div>\n
\u25aa Offers both 10-year and 30-year risk estimates<\/div>\n
4. 2025 \u2013 PREVENT Validated in Large Diverse Population<\/span><\/div>\n
\u25aa Outperforms ASCVD in Asian and Hispanic groups<\/div>\n
\u25aa Stronger calibration, less risk overestimation<\/div>\n
\u25aa Encouraged by AHA as preferred future model<\/div>\n
<\/div>\n
Try the Calculators Yourself<\/div>\n
\u2022 ASCVD Calculator (2013):<\/span><\/div>\n
https:\/\/tools.acc.org\/ASCVD-Risk-Estimator-Plus<\/a><\/div>\n
\u2022 AHA PREVENT Calculator (2023):<\/span><\/div>\n
https:\/\/cvriskcalculator.heart.org<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

The AHA PREVENT Risk Equations. Source \u2022 Study published: JAMA Cardiology, June 25, 2025 \u2022 Summary article: Medscape Medical News, June 27, 2025 The AHA PREVENT (Predicting Risk of Cardiovascular Disease Events) equations are newer tools developed by the American Heart Association to better estimate a patient\u2019s risk of future cardiovascular disease (CVD)\u2014including heart attacks, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7770","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/7770","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/comments?post=7770"}],"version-history":[{"count":1,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/7770\/revisions"}],"predecessor-version":[{"id":7774,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/7770\/revisions\/7774"}],"wp:attachment":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/media?parent=7770"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/categories?post=7770"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/tags?post=7770"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}