A Toolkit for Healthcare Professionals 15 1. Aggarwal R, Ostrominski J, Vaduganathan M. Prevalence of Cardiovascular-KidneyMetabolic Syndrome Stages in US Adults, 2011-2020. JAMA Network. 2024;331;(21):18581860. doi:10.1001/jama.2024.6892. 2. Khan SS, Bhave N, Blumenthal RS, Coresh J, Huang X, Joseph JJ, Khera A, Ho JE, LloydJones DM, Low Wang CC, Lu Y, Morris PB, Nasir K, Natarajan P, Rangaswami J, Rodriguez F, Sperling LS, Virani SS, Zhang S, Ndumele CE. Use of Predicted Risk and Expected Benefit to Guide Decision-Making in Cardiovascular- Kidney-Metabolic Syndrome for the Primary Prevention of Cardiovascular Disease: A Scientific Statement From the American Heart Association and American College of Cardiology, Circulation, 2026;154(4). doi/10.1161/CIR.0000000000001447. 3. Khan SS, Coresh J, Pencina MJ, et al; American Heart Association. Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement from the American Heart Association. Circulation. 2023;148(24):19822004. doi:10.1161/CIR.0000000000001191. 4. Khan SS, Matsushita K, Sang Y, et al. Development and Validation of the American Heart Association Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) Equations. Circulation 2023;149(5):430-449. DOI: 10.1161/CIRCULATIONAHA.123.067626. 5. Krishnan V, Huang X, Perak AM, Coresh J, Ndumele CE, Greenland P, Lloyd-Jones DM, Khan SS. PREVENT risk age equations and population distribution in US adults. JAMA cardiology. 2025;10:962-964. DOI: 10.1001/ jamacardio.2025.2427. 6. Krishnan V, Huang X, Zhang S, Shah NS, Navar AM, Coresh J, Rangaswami J, Ho JE, Khera A, Blumenthal RS, Pencina M, LloydJones DM, Greenland P, Ndumele CE, Khan, SS. Age and sex-specific percentiles of 30-year cardiovascular disease risk based on the PREVENT equations. Journal of the American College of Cardiology. 2025;86:2017-2027. DOI: 10.1016/j.jacc.2025.09.1509. 7. Schutte AE, Pilote L. Implementing the PREVENT Risk Equation in the 2025 Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults. Hypertension. 2025;82(10):1541-1544. doi:10.1161/HYPERTENSIONAHA.125.25465. 8. Khan SS, Matsushita K, Sang Y, et al; Chronic Kidney Disease Prognosis Consortium and the American Heart Association CardiovascularKidney-Metabolic Science Advisory Group. Development and Validation of the American Heart Association’s PREVENT Equations. Circulation. 2024;149(6):430-449. doi:10.1161/ CIRCULATIONAHA.123.067626. 9. ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/ APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia: A Report of the American College of Cardiology/ American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2026;153(17):e1154-e1276. doi:10.1161/ CIR.0000000000001423. How PREVENT handles medication use. 10. AHA/ACC/AANP/AAPA/ABC/ACCP/ACPM/ AGS/AMA/ASPC/NMA/PCNA/SGIM Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2025;152(11):e114-e218. doi:10.1161/CIR.0000000000001356. 11. Top Take-Home Messages for Clinicians: Using the PREVENT Equations for RiskBased Cardiovascular-Kidney-Metabolic (CKM) Syndrome Management; https:// professional.heart.org/en/science-news/-/ media/3709C2459E924575B12A2E2435E97185. ashx. Top Takeaway: Adopt the PREVENT Equations Into Your Workflow Today It’s important for clinicians in the primary care setting to implement the PREVENT equations for the primary prevention of CVD in routine clinical practice. Use the PREVENT online calculator during annual wellness or management visits for adults aged 30 to 79 years without CVD to guide personalized prevention treatment decisions. Compared to the older PCE, the PREVENT equations offer numerous advantages, including use of a larger, more contemporary and diverse dataset of over 6.5 million U.S. adults, earlier risk calculation starting at age 30, equations with predictors for kidney and metabolic health to support a more holistic approach for screening, assessing risk and preventing CVD among patients with or at risk for CKM syndrome, optional markers (such as UACR, HbA1c and SDI), and a broader view of long-term health a decade earlier than previous tools. Additional resources: References WEBINAR/TUTORIAL: American Heart Association PREVENT™ Online Calculator Clinical Slide Decks
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