Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Aug 1;184(8):963-970.
doi: 10.1001/jamainternmed.2024.1302.

Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations

Affiliations

Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations

Timothy S Anderson et al. JAMA Intern Med. .

Abstract

Importance: In 2023, the American Heart Association (AHA) developed the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations to estimate 10-year risk of atherosclerotic cardiovascular disease (ASCVD), as an update to the 2013 pooled cohort equations (PCEs). The PREVENT equations were derived from contemporary cohorts and removed race and added variables for kidney function and statin use.

Objective: To compare national estimates of 10-year ASCVD risk using the PCEs and PREVENT equations and how these equations affect recommendations for primary prevention statin therapy.

Design, setting, and participants: This cross-sectional study included adults aged 40 to 75 years who participated in the National Health and Nutrition Examination Survey from 2017 to March 2020. Adults were defined as eligible for primary prevention statin use based on the 2019 AHA/American College of Cardiology guideline on the primary prevention of cardiovascular disease. Data were weighted to be nationally representative and were analyzed from December 27, 2023, to January 31, 2024.

Main outcomes and measures: The 10-year ASCVD risk and eligibility for primary prevention statin therapy based on PREVENT and PCE calculations.

Results: In the weighted sample of 3785 US adults (mean [SD] age, 55.7 [9.7] years; 52.5% women) without known ASCVD, 20.7% reported current statin use. The mean estimated 10-year ASCVD risk was 8.0% (95% CI, 7.6%-8.4%) using the PCEs and 4.3% (95% CI, 4.1%-4.5%) using the PREVENT equations. Across all age, sex, and racial subgroups, compared with the PCEs, the mean estimated 10-year ASCVD risk was lower using the PREVENT equations, with the largest difference for Black adults (10.9% [95% CI, 10.1%-11.7%] vs 5.1% [95% CI 4.7%-5.4%]) and individuals aged 70 to 75 years (22.8% [95% CI, 21.6%-24.1%] vs 10.2% [95% CI, 9.6%-10.8%]). The use of the PREVENT equations instead of the PCEs could reduce the number of adults meeting criteria for primary prevention statin therapy from 45.4 million (95% CI, 40.3 million-50.4 million) to 28.3 million (95% CI, 25.2 million-31.4 million). In other words, 17.3 million (95% CI, 14.8 million-19.7 million) adults recommended statins based on the PCEs would no longer be recommended statins based on PREVENT equations, including 4.1 million (95% CI, 2.8 million-5.5 million) adults currently taking statins. Based on the PREVENT equations, 44.1% (95% CI, 38.6%-49.5%) of adults eligible for primary prevention statin therapy reported currently taking statins, equating to 15.8 million (95% CI, 13.4 million-18.2 million) individuals eligible for primary prevention statins who reported not taking statins.

Conclusions and relevance: This cross-sectional study found that use of the PREVENT equations was associated with fewer US adults being eligible for primary prevention statin therapy; however, the majority of adults eligible for receiving such therapy based on PREVENT equations did not report statin use.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Anderson reported receiving grants from the American Heart Association, the American College of Cardiology, and the US Deprescribing Research Network and personal fees from the American Medical Student Association outside the submitted work. Ms Wilson reported receiving personal fees from the American Medical Student Association outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Estimated Mean 10-Year Atherosclerotic Cardiovascular Disease (ASCVD) Risk, by Calculator
Error bars represent 95% CIs. Other race includes multiracial. HbA1c indicates hemoglobin A1c level; PCE, pooled cohort equation; PREVENT, Predicting Risk of Cardiovascular Disease Events; and UACR, urine albumin-to-creatinine ratio.
Figure 2.
Figure 2.. Comparison of Use of the Pooled Cohort Equations (PCEs) and the Predicting Risk of Cardiovascular Disease Events (PREVENT) Equations on Recommendations for Primary Prevention Statin Use
Primary prevention statin use recommendation based on diabetes status and estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk greater than 7.5% based on estimated total cholesterol level if patient was not taking a statin. Based on PREVENT equations, 0.2 million (95% CI, 0.0 million-0.4 million) participants (weighted data) would be newly recommended statin use, but all were not currently taking statins; thus, no point estimate or error bars could be calculated for participants currently taking statins. Error bars represent 95% CIs. Other race includes multiracial.
Figure 3.
Figure 3.. Estimated Proportion of Population Meeting Primary Prevention Statin Eligibility by Predicting Risk of Cardiovascular Disease Events (PREVENT) Equations Who Reported Current Statin Use
Primary prevention statin recommendation based on diabetes status and estimated 10-year atherosclerotic cardiovascular disease risk greater than 7.5% based on PREVENT equations using estimated total cholesterol levels if patient was not taking a statin. Error bars represent 95% CIs. Other race includes multiracial.

Similar articles

Cited by

References

    1. Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(25, pt B):2935-2959. doi: 10.1016/j.jacc.2013.11.005 - DOI - PMC - PubMed
    1. Yadlowsky S, Hayward RA, Sussman JB, McClelland RL, Min YI, Basu S. Clinical implications of revised pooled cohort equations for estimating atherosclerotic cardiovascular disease risk. Ann Intern Med. 2018;169(1):20-29. doi: 10.7326/M17-3011 - DOI - PubMed
    1. DeFilippis AP, Young R, McEvoy JW, et al. Risk score overestimation: the impact of individual cardiovascular risk factors and preventive therapies on the performance of the American Heart Association-American College of Cardiology-Atherosclerotic Cardiovascular Disease risk score in a modern multi-ethnic cohort. Eur Heart J. 2017;38(8):598-608. doi: 10.1093/eurheartj/ehw301 - DOI - PMC - PubMed
    1. Rana JS, Tabada GH, Solomon MD, et al. Accuracy of the atherosclerotic cardiovascular risk equation in a large contemporary, multiethnic population. J Am Coll Cardiol. 2016;67(18):2118-2130. doi: 10.1016/j.jacc.2016.02.055 - DOI - PMC - PubMed
    1. Khan SS, Matshushita K, Sang Y, et al. ; Chronic Kidney Disease Consortium and the American Heart Association Cardiovascular-Kidney-Metabolic Science Advisory Group . Development and validation of the American Heart Association’s PREVENT equations. Circulation. 2024;149(6):430-449.https://pubmed.ncbi.nlm.nih.gov/37947085 doi: 10.1161/CIRCULATIONAHA.123.067626 - DOI - PMC - PubMed

Substances