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Development and Validation of the American Heart Association’s PREVENT Equations
Open accessAbstract
BACKGROUND: Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD. METHODS: The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets. RESULTS: Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763–0.809) in female and 0.757 (0.727–0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81–1.16) and 0.94 (0.81–1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD– and heart failure–specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004–0.005] and 0.005 [0.004–0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84–1.20] versus 1.39 [1.14–1.65]; P =0.01). CONCLUSIONS: PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.
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“We have conducted sensitivity analyses by applying the American Heart Association (AHA) Predicting Risk of CVD Events (PREVENT) risk formula based on diverse population, which produced directionally consistent treatment effect.33”
From Tirzepatide compared with semaglutide and 10-year cardiovascular disease risk reduction in obesity: post-hoc analysis of the SURMOUNT-5 trial (2025) · cites this paper as [33]
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“The American Heart Association’s PREVENT Equations use a social deprivation index to recognize the impact that social deprivation can have on cardiovascular-kidney-metabolic conditions [96,99].”
From Bias in medical AI: Implications for clinical decision-making (2024) · cites this paper as [96]
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Ahmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782
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Self-citationSontrop, J. M., Dixon, S. N., Garg, A. X., Jiménez, I. B., Dohein, O., Huang, S. S., & Clark, W. F. (2013) · American Journal of Nephrology · doi:10.1159/000350377 · Cited by 5,903
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
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Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
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Gallucci, G., Larocca, M., Navazio, A., Turazza, F. M., Inno, A., Canale, M. L., Oliva, S., Besutti, G., Tedeschi, A., Aschieri, D., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26010334 · Cited by 9
Llorca, J., Ferraz‐Amaro, I., Castañeda, S., Raya, E., Rodríguez‐Rodríguez, L., Montero, S. A. R., Nievas, G. S., Meseguer, A. L., Plaza, Z., Sánchez‐Alonso, F., et al. (2025) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2025.152694 · Cited by 9
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Filtz, A., Shapiro, M. D., Whelton, P. K., Návar, A. M., Rodríguez, F., Martin, S. S., Gulati, M., Blankstein, R., Ridker, P. M., Bhatt, D. L., et al. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101357 · Cited by 9
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Nordestgaard, A. G., Chasman, D. I., Moorthy, M. V., Kraaijenhof, J. M., Cook, N. R., Lee, I.-M. M., Buring, J. E., & Ridker, P. M. (2026) · JAMA Cardiology · doi:10.1001/jamacardio.2025.5043 · Cited by 10
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Stabellini, N., Makram, O. M., Kunhiraman, H. H., Daoud, H., Shanahan, J., Montero, A. J., Blumenthal, R. S., Aggarwal, C., Swami, U., Virani, S. S., et al. (2025) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkaf016 · Cited by 9
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Durstenfeld, M. S., Nance, R. M., Jones, R. C. F., Abelman, R. A., Hoffmann, A. P., Burkholder, G., Hsue, P. Y., Longenecker, C. T., Hunt, P. W., Saag, M. S., et al. (2025) · AIDS · doi:10.1097/qad.0000000000004331 · Cited by 8
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Ahmad, M. I., Chevli, P. A., Mirzai, S., Spitz, J. A., Sharma, G. V., Lima, J. A. C., Nasir, K., Blaha, M. J., Pagidipati, N. J., Blumenthal, R. S., et al. (2025) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2025.120521 · Cited by 8
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Kim, B. S., Kim, H., Moon, S., Kim, H., Lee, J., & Shin, J. (2025) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2025.082 · Cited by 8
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Nam, D., Jang, Y.-H., Lee, Y.-S., Seo, J., Thakur, S., Nusinovici, S., Kim, M., Shin, Y. U., Park, H.-C., & Hwang, S. (2025) · Canadian Journal of Ophthalmology · doi:10.1016/j.jcjo.2025.11.004 · Cited by 8
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Zhang, L., Iliescu, C., Ferencik, M., Finamore, V., Beavers, C. J., Patel, A. R., Ghoshhajra, B. B., Milgrom, S. A., Dent, S., Baldassarre, L. A., et al. (2026) · Circulation · doi:10.1161/cir.0000000000001391 · Cited by 8
Lassen, M. C. H., Ostrominski, J. W., Claggett, B. L., Ndumele, C. E., Biering‐Sørensen, T., Matsushita, K., Selvin, E., Coresh, J., Shah, A. M., Solomon, S. D., et al. (2026) · Circulation · doi:10.1161/circulationaha.125.077894 · Cited by 8
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Xie, D., You, F., Yang, L., Li, C., & Liu, F. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1597693 · Cited by 7
Wang, Y., Dong, T., Wang, B., & Zhang, P. (2025) · Preventive Medicine · doi:10.1016/j.ypmed.2025.108360 · Cited by 8
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He, Y., Zhou, X. J., Huang, W., Wu, Y., Zhang, Z., Jin, Y., Li, F., Chen, G., Tao, K. X., Zhan, Y., et al. (2025) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2025.118885 · Cited by 7
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Grinspoon, S. K., Zhao, S. R., Martínez, E., Fichtenbaum, C. J., Chu, S. M., Diggs, M. R., Umbleja, T., McCallum, S., Fitch, K. V., Triant, V. A., et al. (2025) · Clinical Infectious Diseases · doi:10.1093/cid/ciaf542 · Cited by 7
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Cai, A., Bayés‐Genís, A., Ryan, J. L., Feng, Y., Januzzi, J. L., Tonkin, A. M., Zheng, J., Nelson, M. R., Neumann, F., Woods, R. L., et al. (2025) · Circulation · doi:10.1161/circulationaha.125.076263 · Cited by 8
Zhang, S., Tang, H., Pan, L., & Zhou, M. (2025) · BMC Public Health · doi:10.1186/s12889-025-25894-0 · Cited by 7
Kaptoge, S. K., Keene, S. J., Reitsma, T. H., Shi, W., Lees, J. S., Loo, L., Gynnild, M. N., Chilala, C. I., Ritchie, S. C., Spackman, S., et al. (2026) · European Heart Journal · doi:10.1093/eurheartj/ehag154 · Cited by 9
Self-citationPremature Menopause and Lifetime Risk of Coronary Heart Disease
Freaney, P. M., Ning, H., Carnethon, M. R., Wilkins, J. T., Allen, N. B., Lloyd‐Jones, D. M., & Khan, S. S. (2026) · JAMA Cardiology · doi:10.1001/jamacardio.2026.0212 · Cited by 7
Self-citationXue, E., Zhao, J., Chen, B., Ye, J., Wu, J., Shao, J., Li, X., & Ye, Z. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156596 · Cited by 7
Foroutan, F., Weiss, J., Mayer, M. G., Bache‐Mathiesen, L. K., Agoritsas, T., Vandvik, P. O., Signorile, M., Ensor, J., Agarwal, A., Guyatt, G. H., et al. (2026) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2026.112293 · Cited by 7
The Role of Social Determinants of Health in Atherosclerotic Cardiovascular Disease
Brown, L., Cambron, C., Post, W. S., & Brandt, E. J. (2024) · Current Atherosclerosis Reports · doi:10.1007/s11883-024-01226-2 · Cited by 7
Changing the paradigm in heart failure: shifting from treatment to prevention
Chang, A. J., Liang, Y., Girouard, M. P., Bhatt, A. S., Sandhu, A. T., Sauer, A. J., Greene, S. J., Harrington, J., Go, A. S., & Ambrosy, A. P. (2024) · Heart Failure Reviews · doi:10.1007/s10741-024-10454-2 · Cited by 8
Self-citationRafsanjani, K., Rabizadeh, S., Ebrahimiantabrizi, A., Asadibideshki, Z., Yadegar, A., Esteghamati, A., Nakhjavani, M., & Reyhan, S. K. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-04297-w · Cited by 10
Liang, J., Wells, S., Jackson, R., Choi, Y. C., Mehta, S., Chung, C., Gao, P., & Poppe, K. (2024) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwae361 · Cited by 7
Morton, J. I., Liew, D., Watts, G. F., Zoungas, S., Nicholls, S. J., Reid, C. M., & Ademi, Z. (2024) · PharmacoEconomics · doi:10.1007/s40273-024-01454-z · Cited by 7
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Walther, C. P., Gregg, L. P., & Navaneethan, S. D. (2025) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2025.01.012 · Cited by 8
Can Cardiovascular Risk Assessment Be Improved in the 21st Century?
Gaziano, T. A., & Gaziano, J. M. (2024) · JAMA · doi:10.1001/jama.2024.7644 · Cited by 7
Hormones, Stress, and Heart Disease in Transgender Women with HIV in LITE Plus
Poteat, T., Ehrig, M. R., Ahmadi, H., Malik, M., Reisner, S. L., Radix, A. E., Malone, J., Cannon, C. M., Streed, C. G., Toribio, M. P., et al. (2024) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2024.10.001 · Cited by 6
Benefit and Harm of Intensive Blood Pressure Control by Cardiovascular Risk
Dong, X., Ling, Q., Zhao, X., Song, Q., & Cai, J. (2025) · Hypertension · doi:10.1161/hypertensionaha.125.25162 · Cited by 6
Comprehensive Access to Semaglutide: Clinical and Economic Implications for Medicare
Dayer, V. W., Nourhussein, I., Kasle, A., Hansen, R. N., Navas, A., & Sullivan, S. D. (2025) · Value in Health · doi:10.1016/j.jval.2025.07.007 · Cited by 6
Long, D., Mao, C., An, H., Zhu, Y., & Xu, Y. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1594481 · Cited by 9
Zhang, Y.-P., Gao, J., Liao, G.-H., Gao, Q., Huang, Z.-G., Zeng, C.-R., Cai, Y.-W., Ruan, Y.-X., Chen, Z.-T., Chen, Y., et al. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100325 · Cited by 8
Song, F., Hu, M., Xia, J., & Yin, C. (2025) · Open Heart · doi:10.1136/openhrt-2025-003395 · Cited by 6
Cardiovascular-kidney-metabolic syndrome: A new frontier or simple rebranding?
Manne‐Goehler, J., Venter, F., Ali, M. K., & Franco, J. V. A. (2025) · PLoS Medicine · doi:10.1371/journal.pmed.1004723 · Cited by 6
Predicting cardiovascular events from routine mammograms using machine learning
Barraclough, J., Gandomkar, Z., Fletcher, R. A., Barbieri, S., Kuo, N. I.-H., Rodgers, A., Douglas, K. A., Poppe, K., Woodward, M., Luxan, B. G., et al. (2025) · Heart · doi:10.1136/heartjnl-2025-325705 · Cited by 6
Chen, F., Gu, Z., & Guo, X. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-05091-y · Cited by 7
Gershon, G., Barr, J. R., Razavi, A. C., Yang, Y., Momin, E., Dzaye, O. D. A., Whelton, S. P., Blaha, M. J., Blumenthal, R. S., Sperling, L. S., et al. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101301 · Cited by 6
Self-citationDerington, C. G., Berchie, R. O., Greene, T., Jacobs, J. A., Moran, A. E., Xu, Y., Narita, K., Zheutlin, A. R., Cohen, J. B., Shimbo, D., et al. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.07.037 · Cited by 6
Trends in nephrology: cardiovascular kidney-metabolic syndrome
Su, G., Liao, B., Guo, Y., Yang, C., & Staplin, N. (2025) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfaf250 · Cited by 6
Lu, Y., Ge, J., Zhu, L., Wang, L., Wu, J., Dong, F., & Deng, J. (2025) · American Journal of Nephrology · doi:10.1159/000549578 · Cited by 6
Hu, S., Wang, D., Yu, Q., Chen, Z., Lu, W., Meng, Y., Peng, X., Liu, L., Wan, H., & Shen, J. (2025) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s569698 · Cited by 6
Pedroso, A. F., Brant, L. C., Ribeiro, A. L. P., Barreto, S. M., Figueiredo, R. C. C., & Khera, R. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101392 · Cited by 6
Al-Jarshawi, M. H. A., Chew, N., Bonaca, M. P., Ray, K. K., & Mamas, M. A. (2026) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwag037 · Cited by 6
PREVENT Equations in Young Adults
Gauen, A., Petito, L. C., Zhang, Y., Zhou, H., Zhou, M., Xia, M., Fang, M. X., Reynolds, K., Xanthakis, V., Safford, M. M., et al. (2026) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.12.019 · Cited by 6
Metadata
- Authors
- Khan, S. S., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Surapaneni, A., Blaha, M. J., Carson, A. P., Chang, A. R., Ciemins, E., Go, A. S., Gutierrez, O. M., Hwang, S.-J., Jassal, S. K., Kovesdy, C. P., Lloyd-Jones, D. M., Shlipak, M. G., Palaniappan, L. P., Sperling, L., Virani, S. S., Tuttle, K., Neeland, I. J., Chow, S. L., Rangaswami, J., Pencina, M. J., Ndumele, C. E., Coresh, J., & for the Chronic Kidney Disease Prognosis Consortium and the American Heart Association Cardiovascular-Kidney-Metabolic Science Advisory Group
- Affiliations
- Northwestern University (US)
- Johns Hopkins University (US)
- New York University (US)
- University of Mississippi Medical Center (US)
- Departments of Nephrology and Population Health Sciences, Geisinger Health, Danville, PA (A.R.C.).
- American Medical Group Association (US)
- Kaiser Permanente (US)
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham (O.M.G.).
- National Heart, Lung, and Blood Institute (US)
- University of California San Diego (US)
- University of Tennessee Health Science Center (US)
- Department of Preventive Medicine, Northwestern University, Chicago, IL (D.M.L.-J.).
- San Francisco VA Medical Center (US)
- Stanford Medicine (US)
- Emory University (US)
- Aga Khan University (PK)
- University of Washington (US)
- University Hospitals of Cleveland (US)
- Western University of Health Sciences (US)
- George Washington University (US)
- Duke University (US)
- ORCID
- Khan, Sadiya S.
- Matsushita, Kunihiro
- Sang, Yingying
- Ballew, Shoshana H.
- Grams, Morgan E.
- Surapaneni, Aditya
- Blaha, Michael J.
- Carson, April P.
- Chang, Alexander R.
- Ciemins, Elizabeth
- Go, Alan S.
- Gutierrez, Orlando M.
- Hwang, Shih-Jen
- Jassal, Simerjot K.
- Kovesdy, Csaba P.
- Lloyd-Jones, Donald M.
- Shlipak, Michael G.
- Palaniappan, Latha P.
- Sperling, Laurence
- Virani, Salim S.
- Tuttle, Katherine
- Neeland, Ian J.
- Chow, Sheryl L.
- Rangaswami, Janani
- Pencina, Michael J.
- Ndumele, Chiadi E.
- Coresh, Josef
- Venue
- Circulation
- Published
- 2024-02-06
- Volume
- 149
- Issue
- 6
- Pages
- 430-449
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC10910659
- OpenAlex
- W4388573970
- Cited by
- 1,234
- References
- 92
- Citations by year
- 2026: 631 · 2025: 467 · 2024: 134
- FWCI
- 314.97
- Type
- journal article
- Language
- en
- Update notices
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- eCommons - AKU (Aga Khan University) (submittedVersion)
- Funders
- HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (R01DK100446)
- HHS | NIH | National Heart, Lung, and Blood Institute (R21HL165376)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- PREVENT equations, cardiovascular risk prediction, absolute cardiovascular risk, atherosclerotic cardiovascular disease, heart failure, albumin-creatinine ratio, estimated glomerular filtration rate, social deprivation index, HbA1c, risk discrimination and calibration
- MeSH terms
- Adult, Aged, Albumins, American Heart Association, Cardiovascular Diseases, Creatinine, Female, Heart Failure, Glycated Hemoglobin, Humans, Male, Middle Aged, Risk Factors, Risk Assessment, Atherosclerosis
About these checks
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