Cardiovascular disease (CVD) remains the leading cause of death 1 in the US and globally and risk estimation is a cornerstone approach to guiding CVD prevention. Over the past 2 decades, various tools and strategies for predicting future cardiovascular risk have been studied and deployed. The overarching goal is to match the intensity of preventive therapy to absolute risk to have the greatest impact in preventing CVD events. Even small or moderate changes in risk estimation could have a large impact at a population-health level when applied to guidance for preventive therapies.The Framingham Risk Score 2 and its derivatives 3,4 were the earliest US guideline-recommended tools for assessing risk of coronary heart disease to inform primary prevention therapies. The Framingham Risk Score estimated the 10-year risk for angina, myocardial infarction, or death due to coronary heart disease. However, a major limitation included the lack of generalizability to modern populations because the Framingham cohort was composed of homogeneous, geographically limited, predominantly White participants with higher smoking rates and lower use of preventive therapies compared with many contemporary US populations.In 2013, the American Heart Association (AHA) and the American College of Cardiology (ACC) developed an atherosclerotic cardiovascular disease (ASCVD) risk score (expanding prediction beyond coronary heart disease to include stroke) known as the pooled cohort equations (PCEs) 5 to predict 10year and lifetime risk of ASCVD. The PCEs were derived from 5 racially and geographically diverse prospective cohort studies (N = 24 626) and used the same traditional risk factors as the original Framingham Risk Score, but additionally offered separate equations for White and Black men and women. The 2013 ACC/AHA Blood Cholesterol Guideline 6 indicated a clear net absolute benefit of moderate-to high-intensity statin therapy at an estimated 10-year ASCVD risk at or above 7.5% based on randomized controlled trial evidence.Although they advanced risk estimation, the PCEs have garnered concern for overestimating cardiovascular risk. A study using the Multi-Ethnic Study of Atherosclerosis 7 demonstrated that the PCEs overestimated ASCVD risk by 86%. Potential reasons for this overestimation include the changing profile of risk factors between historical and modern cohorts, more effective therapies for preventing ASCVD events in the presence of risk factors, the "healthy cohort effect" (ie, cohort participants being healthier than the general population), and incomplete capture of cardiovascular events.Responding to these limitations, the Predicting Risk of cardiovascular disease Events (PREVENT) equations were intro-