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

S Sadiya S. Khan N Nicole Bhave R Roger S. Blumenthal (Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore) J Josef Coresh X Xiaoning Huang J Joshua J. Joseph (Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (J.J.J.).) A Amit Khera J Jennifer E. Ho D Donald M. Lloyd-Jones C Cecilia C. Low Wang Y Yuan Lu P Pamela B. Morris (Medical University of South Carolina, Charleston) K Khurram Nasir P Pradeep Natarajan J Janani Rangaswami (George Washington University School of Medicine, Washington DC Veterans Affairs Medical Center, Washington, DC (J.R.).) F Fatima Rodriguez L Laurence S. Sperling S Salim S. Virani S Sui Zhang (Department of Chemical and Biomolecular Engineering) C Chiadi E. Ndumele (Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore)

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

Journal Circulation
Volume / Issue Vol. 154, Issue 4
Published July 28, 2026
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (20)

S

Sadiya S. Khan

N

Nicole Bhave

R

Roger S. Blumenthal

Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore

J

Josef Coresh

X

Xiaoning Huang

J

Joshua J. Joseph

Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (J.J.J.).

A

Amit Khera

J

Jennifer E. Ho

D

Donald M. Lloyd-Jones

C

Cecilia C. Low Wang

Y

Yuan Lu

P

Pamela B. Morris

Medical University of South Carolina, Charleston

K

Khurram Nasir

P

Pradeep Natarajan

J

Janani Rangaswami

George Washington University School of Medicine, Washington DC Veterans Affairs Medical Center, Washington, DC (J.R.).

F

Fatima Rodriguez

L

Laurence S. Sperling

S

Salim S. Virani

S

Sui Zhang

Department of Chemical and Biomolecular Engineering

C

Chiadi E. Ndumele

Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore