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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

  • Sadiya S. Khan
  • , Nicole Bhave
  • , Roger S. Blumenthal
  • , Josef Coresh
  • , Xiaoning Huang
  • , Joshua J. Joseph
  • , Amit Khera
  • , Jennifer E. Ho
  • , Donald M. Lloyd-Jones
  • , Cecilia C. Low Wang
  • , Yuan Lu
  • , Pamela B. Morris
  • , Khurram Nasir
  • , Pradeep Natarajan
  • , Janani Rangaswami
  • , Fatima Rodriguez
  • , Laurence S. Sperling
  • , Salim S. Virani
  • , Sui Zhang
  • , Chiadi E. Ndumele

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
JournalCirculation
DOIs
Publication statusAccepted/In press - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AHA Scientific Statements
  • cardiovascular diseases
  • heart failure
  • hypertension
  • obesity
  • primary prevention
  • risk assessment
  • stroke

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