Cited by 7,491Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk FactorsLipoproteins and Cardiovascular Health

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General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study

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D’Agostino, Ralph B., Vasan, Ramachandran S., Pencina, Michael J., Wolf, Philip A., Cobain, Mark, Massaro, Joseph M., Kannel, William B.·2008·Circulation

DOI 10.1161/circulationaha.107.699579

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Abstract

Background— Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. Methods and Results— We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions (“general CVD” algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P <0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non–laboratory-based predictors. Conclusions— A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care.

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Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Summary of the second report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II)
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Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
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10.1016/S0140-6736(05)70240-3 · DOI
10.1161/circ.83.1.1984895 · DOI
10.1161/circ.105.3.310 · DOI
10.1161/circ.97.18.1837 · DOI
10.1161/str.22.3.2003301 · DOI
10.1161/circ.96.1.44 · DOI
10.1161/circ.100.9.988 · DOI

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Hochhaus, A., Saglio, G. N., Hughes, T. P., Larson, R. A., Kim, D.-W., Issaragrisil, S., le Coutre, P. D., Étienne, G., Dorlhiac‐Llacer, P. E., Clark, R. E., et al. (2016) · Leukemia · doi:10.1038/leu.2016.5 · Cited by 836
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Polak, J. F., Pencina, M. J., Pencina, K. M., O’Donnell, C. J., Wolf, P. A., & D’Agostino, R. B. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1012592 · Cited by 829
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Kinoshita, M., Yokote, K., Arai, H., Iida, M., Ishigaki, Y., Ishibashi, S., Umemoto, S., Egusa, G., Ohmura, H., Okamura, T., et al. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.gl2017 · Cited by 813
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Khan, S. S., Coresh, J., Pencina, M. J., Ndumele, C. E., Rangaswami, J., Chow, S. L., Palaniappan, L. P., Sperling, L. S., Virani, S. S., Ho, J. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001191 · Cited by 797
Self-citation
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Jacobson, T. A., Maki, K. C., Orringer, C. E., Jones, P. H., Kris-Etherton, P., Sikand, G., La Forge, R., Daniels, S. R., Wilson, D. P., Morris, P. B., et al. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.09.002 · Cited by 784
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Zhang, W., Zhang, S., Deng, Y., Wu, S., Ren, J., Sun, G., Yang, J., Jiang, Y., Xu, X., Wang, T.-D., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2111437 · Cited by 784
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Mosca, L. J., Benjamin, E. J., Berra, K. A., Bezanson, J. L., Dolor, R. J., Lloyd‐Jones, D. M., Newby, L. K., Piña, I. L., Roger, V. L., Shaw, L. J., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.02.005 · Cited by 795
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Anderson, T. J., Grégoire, J. C., Hegele, R. A., Couture, P., Mancini, G. B. J., McPherson, R., Francis, G. A., Poirier, P., Lau, D. C. W., Grover, S. A., et al. (2013) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2012.11.032 · Cited by 780
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Den Ruijter, H. M., Peters, S. A. E., Anderson, T. J., Britton, A. R., Dekker, J. M., Eijkemans, M. J., Engström, G., Evans, G. W., de Graaf, J., Grobbee, D. E., et al. (2012) · JAMA · doi:10.1001/jama.2012.9630 · Cited by 760
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Genest, J. J., McPherson, R., Frohlich, J. J., Anderson, T. J., Campbell, N. R. C., Carpentier, A. C., Couture, P., Dufour, R., Fodor, G. J., Francis, G. A., et al. (2009) · Canadian Journal of Cardiology · doi:10.1016/s0828-282x(09)70715-9 · Cited by 765
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Boutouyrie, P., Chowienczyk, P., Humphrey, J. D., & Mitchell, G. F. (2021) · Circulation Research · doi:10.1161/circresaha.121.318061 · Cited by 814
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Patil, S. P., Ayappa, I. A., Caples, S. M., Kimoff, R. J., Patel, S. R., & Harrod, C. G. (2019) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.7638 · Cited by 721
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Gidding, S. S., Ann Champagne, M., de Ferranti, S. D., Defesche, J., Ito, M. K., Knowles, J. W., McCrindle, B., Raal, F., Rader, D., Santos, R. D., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000297 · Cited by 723
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Acosta, R. D., Abraham, N. S., Chandrasekhara, V., Chathadi, K. V., Early, D. S., Eloubeidi, M. A., Evans, J. A., Faulx, A. L., Fisher, D. A., Fonkalsrud, L., et al. (2015) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2015.09.035 · Cited by 725
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Andersson, C., & Vasan, R. S. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.154 · Cited by 760
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Catapano, A. L., Reiner, Ž., De Backer, G., Graham, I., Taskinen, M.-R., Wiklund, O., Agewall, S., Alegria, E., Chapman, M. J., Durrington, P., et al. (2011) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2011.06.028 · Cited by 706
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Lloyd-Jones, D. M. (2010) · Circulation · doi:10.1161/circulationaha.109.849166 · Cited by 705
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Collins, G. S., Ogundimu, E. O., & Altman, D. G. (2016) · Statistics in Medicine · doi:10.1002/sim.6787 · Cited by 665
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Daskalopoulou, S. S., Rabi, D. M., Zarnke, K. B., Dasgupta, K., Nerenberg, K. A., Cloutier, L., Gelfer, M., Lamarre-Cliché, M., Milot, A., Bolli, P., et al. (2015) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2015.02.016 · Cited by 690
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Yang, X., Li, J., Hu, D., Chen, J., Li, Y., Huang, J., Liu, X., Liu, F., Cao, J., Shen, C., et al. (2016) · Circulation · doi:10.1161/circulationaha.116.022367 · Cited by 685
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Authors: D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B.
Affiliations: Boston University (US)
ORCID: D’Agostino, Ralph B.
Vasan, Ramachandran S.
Pencina, Michael J.
Wolf, Philip A.
Massaro, Joseph M.
Venue: Circulation
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2008-02-12
Volume: 117
Issue: 6
Pages: 743-753
ISSN: 0009-7322 (ISSN-L)
1524-4539
DOI: 10.1161/circulationaha.107.699579
OpenAlex: W2148092884
Cited by: 7,491
References: 52
Citations by year: 2026: 491 · 2025: 567 · 2024: 552 · 2023: 511 · 2022: 529 · 2021: 592 · 2020: 562 · 2019: 454 · 2018: 475 · 2017: 452 · 2016: 385 · 2015: 389 · 2014: 391 · 2013: 323 · 2012: 294
FWCI: 169.19
Type: journal article
Language: en
Update notices: correction (2008-07-22)
Open access: bronze
doi.org
Locations: Circulation (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (n01hc25195-41-0-1)
National Heart, Lung, and Blood Institute (2K24 HL 04334, N01‐HC25195, K24HL004334)
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: cardiovascular risk prediction, atherosclerotic cardiovascular disease, Framingham risk score, coronary artery disease, stroke, peripheral arterial disease, heart failure, traditional risk factors, cholesterol, blood pressure, smoking, diabetes mellitus, primary care
MeSH terms: Adult, Aged, Algorithms, Cardiovascular Diseases, Female, Humans, Longitudinal Studies, Male, Middle Aged, Primary Health Care, Risk Factors, Sex Factors, Multivariate Analysis, Proportional Hazards Models, Risk Assessment

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General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study

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