The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium
Open accessAbstract
Background: Tools for the prediction of atrial fibrillation ( AF ) may identify high‐risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results: Individual‐level data from 3 large cohorts in the U nited S tates (Atherosclerosis Risk in Communities [ ARIC ] study, the Cardiovascular Health Study [ CHS ], and the Framingham Heart Study [ FHS ]), including 18 556 men and women aged 46 to 94 years (19% A frican A mericans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment—Reykjavik study ( AGES ) and the Rotterdam Study ( RS ). The analysis included 1186 incident AF cases in the derivation cohorts and 585 in the validation cohorts. A simple 5‐year predictive model including the variables age, race, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes, and history of myocardial infarction and heart failure had good discrimination (C‐statistic, 0.765; 95% CI , 0.748 to 0.781). Addition of variables from the electrocardiogram did not improve the overall model discrimination (C‐statistic, 0.767; 95% CI , 0.750 to 0.783; categorical net reclassification improvement, −0.0032; 95% CI , −0.0178 to 0.0113). In the validation cohorts, discrimination was acceptable ( AGES C‐statistic, 0.664; 95% CI , 0.632 to 0.697 and RS C‐statistic, 0.705; 95% CI , 0.664 to 0.747) and calibration was adequate. Conclusion: A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the U nited S tates and E urope.
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Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Self-citationGeneral Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Self-citationGo, A. S., Hylek, E. M., Phillips, K. A., Chang, Y., Henault, L. E., Selby, J. V., & Singer, D. E. (2001) · JAMA · doi:10.1001/jama.285.18.2370 · Cited by 6,205
The Cardiovascular Health Study: design and rationale.
Fried, L. P., Borhani, N. O., Enright, P., Furberg, C. D., Gardin, J. M., Kronmal, R. A., Kuller, L. H., Manolio, T. A., Mittelmark, M. B., Newman, A., et al. (1991) · Annals of Epidemiology · doi:10.1016/1047-2797(91)90005-w · Cited by 3,652
Self-citationBenjamin, E. J. (1994) · JAMA · doi:10.1001/jama.1994.03510350050036 · Cited by 2,613
Self-citationD'Agostino, R. B., Grundy, S., Sullivan, L. M., Wilson, P., & for the CHD Risk Prediction Group (2001) · JAMA · doi:10.1001/jama.286.2.180 · Cited by 2,108
Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study
Heeringa, J., van der Kuip, D. A. M., Hofman, A., Kors, J. A., van Herpen, G., Stricker, B. H. C., Stijnen, T., Lip, G. Y. H., & Witteman, J. C. M. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehi825 · Cited by 1,939
Self-citationIncidence of and risk factors for atrial fibrillation in older adults
Psaty, B. M., Manolio, T. A., Kuller, L. H., Kronmal, R. A., Cushman, M., Fried, L. P., White, R., Furberg, C. D., & Rautaharju, P. M. (1997) · Circulation · doi:10.1161/01.cir.96.7.2455 · Cited by 1,462
Obesity and the risk of new-onset atrial fibrillation
Wang, T. J. (2004) · JAMA · doi:10.1001/jama.292.20.2471 · Cited by 1,427
Cited by
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Self-citationHeart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Self-citationHeart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036
Self-citationHeart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146
Self-citationHeart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
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Metadata
- Authors
- Alonso, A., Krijthe, B. P., Aspelund, T., Stepas, K. A., Pencina, M. J., Moser, C. B., Sinner, M. F., Sotoodehnia, N., Fontes, J. D., Janssens, A. C. J. W., Kronmal, R. A., Magnani, J. W., Witteman, J. C., Chamberlain, A. M., Lubitz, S. A., Schnabel, R. B., Agarwal, S. K., McManus, D. D., Ellinor, P. T., Larson, M. G., Burke, G. L., Launer, L. J., Hofman, A., Levy, D., Gottdiener, J. S., Kääb, S., Couper, D., Harris, T. B., Soliman, E. Z., Stricker, B. H. C., Gudnason, V., Heckbert, S. R., & Benjamin, E. J.
- Venue
- Journal of the American Heart Association
- Published
- 2013-03-12
- Volume
- 2
- Issue
- 2
- Pages
- e000102-e000102
- ISSN
- 2047-9980 (ISSN-L)
- OpenAlex
- W2097173178
- Cited by
- 882
- References
- 12
- FWCI
- 29.45
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium. https://app.cochat.ai/papers/10.1161/jaha.112.000102
- The paper
- Alonso, A., Krijthe, B. P., Aspelund, T., Stepas, K. A., Pencina, M. J., Moser, C. B., Sinner, M. F., Sotoodehnia, N., Fontes, J. D., Janssens, A. C. J. W., Kronmal, R. A., Magnani, J. W., Witteman, J. C., Chamberlain, A. M., Lubitz, S. A., Schnabel, R. B., Agarwal, S. K., McManus, D. D., Ellinor, P. T., . . . Benjamin, E. J. (2013). Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium. Journal of the American Heart Association. https://doi.org/10.1161/jaha.112.000102
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