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
Abstract
Current clinical practice guidelines for the primary prevention of cardiovascular disease recommend risk assessment to align the type and intensity of preventive efforts with an individual’s risk. The 2025 American Heart Association/American College of Cardiology guideline for the prevention, detection, evaluation, and management of high blood pressure in adults and the 2026 American Heart Association/American College of Cardiology guideline on the management of dyslipidemia incorporate quantitative risk assessment, recommending the PREVENT (Predicting Risk of Cardiovascular Disease Events) equations to guide initiation and intensification of antihypertensive and lipid-lowering therapies, respectively. Given the growing awareness of the clustering of cardiovascular-kidney-metabolic risk factors along with the expanding armamentarium of cardioprotective therapies for obesity, diabetes, and chronic kidney disease, a harmonized approach that comprehensively assesses and addresses risk across these interconnected conditions is needed. The 2026 American Heart Association/American College of Cardiology guideline for the prevention, detection, evaluation, and management of cardiovascular-kidney-metabolic syndrome provides recommendations for the use of the PREVENT equations with outcome-specific risk thresholds for staging, detection of subclinical cardiovascular disease, and decision-making regarding initiation and intensification of cardiovascular-kidney-metabolic therapies. This approach integrates predicted risk (using PREVENT-CVD [cardiovascular disease], PREVENT-ASCVD [atherosclerotic cardiovascular disease], and PREVENT-HF [heart failure]) with the relative risk reduction expected from treatment for each outcome to estimate the expected benefit (ie, absolute risk reduction) from drug therapy. This scientific statement details the rationale for using outcome-specific PREVENT equations, the evidence base for selected risk thresholds, and the potential population-level impact of these recommendations. This scientific statement also offers practical guidance for applying risk assessment as the first step in shared decision-making and for addressing gaps in awareness, risk communication, and optimal implementation of evidence-based preventive therapies to improve outcomes in individuals with or at risk for cardiovascular-kidney-metabolic syndrome.
Article Details
Authors (20)
Sadiya S. Khan
Nicole Bhave
Roger S. Blumenthal
Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore
Josef Coresh
Xiaoning Huang
Joshua J. Joseph
Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (J.J.J.).
Amit Khera
Jennifer E. Ho
Donald M. Lloyd-Jones
Cecilia C. Low Wang
Yuan Lu
Pamela B. Morris
Medical University of South Carolina, Charleston
Khurram Nasir
Pradeep Natarajan
Janani Rangaswami
George Washington University School of Medicine, Washington DC Veterans Affairs Medical Center, Washington, DC (J.R.).
Fatima Rodriguez
Laurence S. Sperling
Salim S. Virani
Sui Zhang
Department of Chemical and Biomolecular Engineering
Chiadi E. Ndumele
Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore