Boulder, Colo. – A new study published in the American Journal of Preventive Cardiology (AJPC) sheds light on how the American Heart Association’s PREVENT equations can translate complex combinations of cardiovascular risk factors into more accurate predictions of cardiovascular disease (CVD) risk. The research, released today, March 13, 2026, offers a deeper understanding of these equations, designed to improve risk assessment by incorporating factors related to cardiovascular, kidney, and metabolic health.
Introduced in 2023, the PREVENT equations aim to address limitations in existing risk prediction tools. While current guidelines recommend using multivariable equations to assess absolute CVD risk, researchers identified a need for more comprehensive models. The new study focuses on how clinicians can interpret individual risk factor profiles and translate them into estimated risk in everyday practice, a challenge given the numerous clinical variables involved.
Investigators, led by Dr. Sadiya S. Khan, modeled risk across a range of hypothetical patient scenarios, varying factors like cholesterol levels, systolic blood pressure, kidney function, and diabetes status while keeping other variables consistent with population averages. The findings demonstrate how the PREVENT equations effectively integrate cardiovascular, kidney, and metabolic risk factors to provide meaningful estimates of CVD risk.
Understanding the Impact of Risk Factors
The study highlights a crucial distinction: individuals with average risk profiles typically reach guideline-recommended treatment thresholds later in life. However, the presence of conditions such as diabetes or chronic kidney disease significantly elevates predicted risk, potentially identifying individuals who could benefit from preventive interventions at an earlier age. This suggests a more proactive approach to cardiovascular care for those with these co-existing conditions.
“Given that the PREVENT equations incorporate several updates from prior risk tools, we wanted to better understand how combinations of cardiovascular risk factors translate into predicted risk across different clinical scenarios,” explained Dr. Vaishnavi Krishnan, the study’s first author. The research team’s analysis provides a clearer picture of how these factors interact to influence overall CVD risk.
The American Heart Association developed the PREVENT equations to estimate 10-year and 30-year risk for total cardiovascular disease (CVD), including atherosclerotic CVD (ASCVD) and heart failure. The PREVENT online calculator is available for healthcare professionals.
The Importance of Shared Decision-Making
An accompanying editorial emphasizes that risk assessment remains a cornerstone of cardiovascular disease prevention. Experts stress the importance of effectively communicating cardiovascular–kidney–metabolic risk to patients to facilitate shared decision-making regarding preventive strategies. This collaborative approach ensures that patients are informed and actively involved in their care plans.
The development and validation of the PREVENT equations involved a large-scale analysis of data from over 6.6 million adults, with a signify age of 53, according to research published in Circulation. Over a follow-up period of approximately 4.8 years, over 211,000 incident total CVD events were recorded.
The PREVENT equations differ from the ACC/AHA pooled cohort equation (PCE) by incorporating factors like obesity, diabetes, kidney function, and social risk, and by providing options to include urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index. The PCE focuses on predicting 10-year risk of CVD and does not include prediction of heart failure, as detailed in a report from the American College of Cardiology.
As cardiovascular disease remains a leading cause of death globally, tools like the PREVENT equations are crucial for refining risk prediction and tailoring preventive interventions. Further research will be essential to assess the long-term impact of utilizing these equations in clinical practice and to refine their accuracy and applicability across diverse populations.
What remains to be seen is how widespread adoption of the PREVENT equations will impact clinical practice and patient outcomes. Continued monitoring and evaluation will be vital to ensure these tools are effectively translating into improved cardiovascular health for all.
Have you discussed your cardiovascular risk factors with your doctor? Share your thoughts in the comments below.
Disclaimer: This information is intended for general knowledge and informational purposes only, and does not constitute medical advice. It is essential to consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.
