New Study Decodes Heart Risk, Paving Way for Personalized Prevention

BOULDER, Colo. – March 13, 2026 – A groundbreaking study published today in the American Journal of Preventive Cardiology (AJPC) provides clinicians with a much-needed roadmap for interpreting the next generation of cardiovascular risk assessment, potentially changing how millions of people understand their heart health.

The research offers a systematic examination of the American Heart Association's PREVENT equations, a sophisticated tool introduced in 2023 to predict cardiovascular disease (CVD). By modeling numerous patient scenarios, the study clarifies how different combinations of risk factors translate into a person's predicted risk, demystifying the complex calculations and paving the way for more personalized and proactive heart disease prevention.

A More Precise Crystal Ball for Heart Health

For years, clinicians relied on the Pooled Cohort Equations (PCEs) to estimate a patient's 10-year risk of a heart attack or stroke. However, the PREVENT equations were developed to offer a more accurate and equitable picture of modern cardiovascular health. They represent a significant leap forward by incorporating several key advancements.

Unlike their predecessors, the PREVENT equations are race-agnostic, removing a controversial variable that was criticized as a social construct rather than a biological risk factor. They also broaden the scope of prediction from just atherosclerotic events to total cardiovascular disease, which notably includes heart failure—a growing public health concern.

Crucially, the new tool integrates factors related to cardiovascular–kidney–metabolic (CKM) health, such as kidney function (eGFR) and body mass index (BMI), for a more holistic assessment. This reflects a growing understanding that the heart does not exist in isolation and that its health is deeply intertwined with the kidneys and metabolic systems. Furthermore, by offering both 10-year and 30-year risk estimates for adults as young as 30, PREVENT provides a longer-term perspective that is especially valuable for motivating younger individuals to adopt healthy habits early.

Translating Data into Diagnosis

While the PREVENT equations were praised for their sophistication upon release, their complexity, with numerous variables, presented a practical challenge for busy clinicians. The new study, titled "Systematic Examination of the PREVENT Equations for Cardiovascular Disease Risk," directly addresses this hurdle.

Investigators led by Dr. Sadiya S. Khan modeled a wide range of hypothetical patient profiles, systematically adjusting factors like cholesterol, systolic blood pressure, kidney function, and diabetes status while keeping other variables at average levels. The result is a clear illustration of how the risk needle moves in response to specific health metrics.

"Because 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, in the original announcement. This work effectively provides a user manual for the equations, allowing healthcare providers to see the direct impact of each factor and better interpret a patient's overall risk profile.

The Critical Link Between Heart, Kidneys, and Metabolism

A key insight highlighted by the analysis is the profound impact of conditions like diabetes and chronic kidney disease. The study confirms that the presence of these conditions substantially increases a person's predicted CVD risk, often pushing them into a higher-risk category at a much younger age.

This finding underscores the importance of the CKM syndrome concept. For individuals with average risk profiles, the threshold for recommending treatments like statins might not be reached until later in life. However, for someone with diabetes or impaired kidney function, the PREVENT equations flag them for potential preventive intervention much earlier. This allows for a more targeted approach, focusing resources and attention on those who stand to benefit most from early action, moving beyond a one-size-fits-all model of care.

A Paradigm Shift and Its Challenges

The transition to the PREVENT equations is not without debate and complexity. A significant point of discussion in the medical community is that PREVENT generally produces lower 10-year risk estimates compared to the older PCEs. Some analyses suggest this could reclassify millions of adults into lower-risk categories.

This raises a critical question: if current treatment thresholds for interventions like statin therapy are maintained, could this recalibration lead to under-treatment and a potential rise in preventable cardiovascular events? Experts are actively debating this point, with many calling for the development of new, evidence-based treatment thresholds specifically designed for the PREVENT era. The clinical community is currently in a transitional period, awaiting updated guidelines from major cardiology organizations that will formalize the role of PREVENT in everyday practice.

Empowering Patients with Personalized Knowledge

Ultimately, the clarity provided by this new study stands to directly benefit patients by fostering more meaningful conversations in the exam room. By having a better grasp of the PREVENT equations, clinicians can more effectively communicate a person's unique cardiovascular-kidney-metabolic risk profile.

This enhanced understanding supports the practice of shared decision-making, where the patient and doctor work together to choose a preventive strategy. Tools like the "PREVENT-Age," or "heart age," which contextualizes risk in more relatable terms, can be powerful motivators for change. As an editorial accompanying the study noted, effective risk communication remains the cornerstone of cardiovascular prevention. By making a complex tool more intuitive, this research empowers clinicians and patients alike to make more informed, personalized decisions that can shape the future of heart health for years to come.