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A Clinical Risk Score for Atrial Fibrillation in a Biracial Prospective Cohort (from the Atherosclerosis Risk In Communities [ARIC] Study)
Open accessAbstract
A risk score for atrial fibrillation (AF) has been developed by the Framingham Heart Study; however, the applicability of this risk score, derived using data from white patients, to predict new-onset AF in nonwhites is uncertain. Therefore, we developed a 10-year risk score for new-onset AF from risk factors commonly measured in clinical practice using 14,546 subjects from the Atherosclerosis Risk In Communities (ARIC) study, a prospective community-based cohort of blacks and whites in the United States. During 10 years of follow-up, 515 incident AF events occurred. The following variables were included in the AF risk score: age, race, height, smoking status, systolic blood pressure, hypertension medication use, precordial murmur, left ventricular hypertrophy, left atrial enlargement, diabetes, coronary heart disease, and heart failure. The area under the receiver operating characteristics curve (AUC) of a Cox regression model that included the previous variables was 0.78, suggesting moderately good discrimination. The point-based score developed from the coefficients in the Cox model had an AUC of 0.76. This clinical risk score for AF in the Atherosclerosis Risk In Communities cohort compared favorably with the Framingham Heart Study's AF (AUC 0.68), coronary heart disease (CHD) (AUC 0.63), and hard CHD (AUC 0.59) risk scores and the Atherosclerosis Risk In Communities CHD risk score (AUC 0.58). In conclusion, we have developed a risk score for AF and have shown that the different pathophysiologies of AF and CHD limit the usefulness of a CHD risk score in identifying subjects at greater risk of AF.
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“Although men have higher absolute rates for incidence of AF, the relative rates of incident AF associated with diabetes are higher in women than in men for both T1DM and T2DM.[586][587][588]”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [586]
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“Recent, large analyses confirmed that T1DM was also independently associated with a higher incidence of AF. [586][587][588]”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [586]
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Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
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
A short questionnaire for the measurement of habitual physical activity in epidemiological studies
Baecke, J. A. H., BUREMA, J., & Frijters, J. E. R. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/36.5.936 · Cited by 3,950
THE ATHEROSCLEROSIS RISK IN COMMUNIT (ARIC) STUDY: DESIGN AND OBJECTIVES
THE ARIC INVESTIGATORS (1989) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115184 · Cited by 3,510
(1989) · PubMed · Cited by 3,139
Fuster, V., Rydén, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Le Heuzey, J.-Y., Kay, G. N., Lowe, J. E., et al. (2006) · Circulation · doi:10.1161/circulationaha.106.177292 · Cited by 2,805
Internal validation of predictive models
Steyerberg, E. W., Harrell, F. E., Borsboom, G. J. J. M., Eijkemans, M. J. C., Vergouwe, Y., & Habbema, J. D. F. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00341-9 · Cited by 2,746
Warnick, G. R., Benderson, J., & Albers, J. J. (1982) · Clinical Chemistry · doi:10.1093/clinchem/28.6.1379 · Cited by 2,154
Research works printed but not linked: 1
- Papp, 1989, ARIC hemostasis study—I, Thromb Hæmost, 61, 15
Cited by
Sorted by citations
Items 301–352 of 352
Relationship between acute atrial fibrillation attack and intensive cigarette smoking
Aktürk, E., Sıncer, İ., Güven, A., & Barutçu, İ. (2012) · The Anatolian Journal of Cardiology · doi:10.5152/akd.2012.160 · Cited by 1
“Chamberlain AM, Agarwal SK, Folsom AR, Soliman EZ, Chambless LE, Crow R, et al. A clinical risk score for atrial fibrillation in a biracial prospective cohort (from the Atherosclerosis Risk in Communities [ARIC] study).”
BackgroundInfluentialYılmaz, A. Ş., Çinier, G., Kahraman, F., Çetın, M., & Çırakoğlu, Ö. F. (2021) · Journal of Academic Research in Medicine · doi:10.4274/jarem.galenos.2021.82473 · Cited by 1
77/m mit Palpitationen und Schwindel
Pereira, J. F. M. (2023) · Zeitschrift für Allgemeinmedizin · doi:10.1007/s44266-023-00063-x · Cited by 1
Pastori, D., Menichelli, D., Romiti, G. F., Speziale, A. P., Pignatelli, P., Basili, S., Violi, F., & Cangemi, R. (2024) · Infection · doi:10.1007/s15010-024-02286-x · Cited by 1
“Other predictive tools for incident AF have been proposed, including the ARIC score [32], the FHS score [33], and the CHARGE-AF score [34].”
MethodHu, H., Nakagawa, T., Honda, T., Yamamoto, S., Kochi, T., Okazaki, H., Miyamoto, T., Ogasawara, T., Gommori, N., Yamamoto, M., et al. (2024) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.64919 · Cited by 1
“Similarly, several previous studies have reported a non-significant association between sex and CVD, after accounting for the aforementioned traditional risk factors 17, 18) .”
Screening for atrial fibrillation
Tlegenova, Z. S., Kudaiberdieva, G., Zholdin, B., & Abdrakhmanov, A. S. (2018) · Journal of Clinical Medicine of Kazakhstan · doi:10.23950/1812-2892-jcmk-00542 · Cited by 1
“В ARIC Study к развитию ФП предрасполагали курение, высокий рост, наличие СД, ишемической болезни сердца и гипертрофии левого желудочка [13].”
Co-existence of Atrial Fibrillation with Myocardial Infarction - Unhealthy Combination.
Wójcik, M. (2012) · Europe PMC (PubMed Central) · doi:10.4022/jafib.666 · Cited by 1
Frequency of Atrial Fibrillation and its Complication
Haadi, A., Ishfaq, S., Nazir, M., Bukhari, S. M. S. A., Ishraf-Ul-Islam, M., & Munir, Z. (2021) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs2115112989 · Cited by 1
Şenöz, O. (2022) · Cardiovascular Surgery and Interventions · doi:10.5606/e-cvsi.2022.1231 · Cited by 1
“Cardiovasc Surg Int 2022;9(1):36-42. www.e-cvsi.orgCardiovascular Surgery and Interventions, an open access journal who are under high risk for development of AF.”
BackgroundMethodInfluentialMoheb, M. N. E., & Refaat, M. M. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.121.022621 · Cited by 1
Atrial fibrillation in adult congenital heart disease in AsiaPreprint
Chiu, S.-N., Tseng, W.-C., Lu, C.-W., Lin, M.-T., Chen, C., Wang, J.-K., & Wu, M.-H. (2023) · medRxiv · doi:10.1101/2023.04.20.23288895
Population-based prediction of atrial fibrillation
Smith, G. J. (2012) · Lund University Publications (Lund University)
A Focus on Hypertension: A Modest Condition of Enormous Significance
Nattel, S. (2011) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2011.06.001
Kowal, E., Pearson, G., Peacock, C. S., Jamieson, S. E., & Blackwell, J. M. (2013)
Solomon, S. D. (2014) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2014.09.010
Atrial Fibrillation - A Common Ground for Neurology and Cardiology.
Abukhalil, F., Bodhit, A. N., Py, C., Ansari, S., Thenkabail, S., Ganji, S., Saravanapavan, P., Shekhar, C. C., Waters, M. F., Beaver, T. M., et al. (2013) · Europe PMC (PubMed Central) · doi:10.4022/jafib.550
Poorthuis, M. H. F. (2021) · doi:10.33540/79
Clinical and structural risk factors predicting atrial fibrillation
Purmah, Y. (2020) · University of Birmingham Institutional Research Archive (University of Birmingham)
Atrial Fibrillation Genomics: Discovery and Translation
Yoo, D. H., Bodmer, R., Ocorr, K. A., Larson, C. J., Colas, A. R., & Muse, E. D. (2021) · Current Cardiology Reports · doi:10.1007/s11886-021-01597-x · Cited by 1
Hypertension and Atrial Fibrillation in African Americans
Soliman, E. Z., & Prineas, R. J. (2014) · Springer eBooks · doi:10.1007/978-1-4939-2010-5_8
Self-citationSimon, S. T., Mandair, D., Albakri, A., Fohner, A. E., Simon, N., Lange, L. A., Biggs, M. L., Mukamal, K. J., Psaty, B. M., & Rosenberg, M. A. (2022) · doi:10.2196/preprints.38040
Segan, L. A., Cánovas, R., Nanayakkara, S., Chieng, D., Prabhu, S., Voskoboinik, A., Sugumat, H., Ling, L., Lee, G., Morton, J. B., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4100270
杨, 尚. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1441165
Mújica-Jauregui, L., Bertomeu‐González, V., Carbonell-Soliva, Á., Orozco‐Beltrán, D., Gil-Guillén, V. F., Nouni-García, R., López‐Pineda, A., Carratalá‐Munuera, C., & Quesada, J. A. (2024) · Medicina Clínica · doi:10.1016/j.medcli.2024.05.013
Wang, S., Xie, Z., Wang, F., & Zhang, W. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1429431
Mújica-Jauregui, L., Bertomeu‐González, V., Carbonell-Soliva, Á., Orozco‐Beltrán, D., Gil-Guillén, V. F., Nouni-García, R., López‐Pineda, A., Carratalá‐Munuera, C., & Quesada, J. A. (2024) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2024.05.010
AAD in Women and During Pregnancy
Ascoeta, S., Caixal, G., Arbelo, E., & López, M. (2024) · Springer eBooks · doi:10.1007/978-3-031-74046-6_15
AAD in Patients with Comorbidities
Sartiani, L., & Cerbai, E. (2024) · Springer eBooks · doi:10.1007/978-3-031-74046-6_14
Markers associated with atrial fibrillation in hypertensive patients
Bukvalnaya, N. V., Yakubova, L. V., Kapytski, A. V., & Snezhitskiy, V. А. (2024) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2025-4117
Risk Factors for New-Onset Atrial Fibrillation in Thai Adults with HypertensionPreprint
Limpijankit, V., Sasiprapha, T., Teza, H., Pattanateepapon, A., Siriyotha, M. S. , Boonmanunt, S. W., Attia, J., & Thakkinstian, A. (2025) · medRxiv · doi:10.1101/2025.05.07.25327197
Factors Associated With New-Onset Atrial Fibrillation in Thai Adults with Hypertension
Limpijankit, V., Sasiprapha, T., Teza, H., Pattanateepapon, A., Siriyotha, S., Boonmanunt, S. W., Attia, J., & Thakkinstian, A. (2025) · American Journal of Hypertension · doi:10.1093/ajh/hpaf149
Prediction of Atrial Fibrillation 10–Year Risk with Optimal Survival Tree Models
Lofaro, D., Armentaro, G., Vizza, P., Veltri, P., Sciacqua, A., & Conforti, D. (2025) · Epidemiology Biostatistics and Public Health · doi:10.54103/2282-0930/29402
Arias, F. G., Tilves-Bellas, C., Cordero, A., Rincon, L. M., Cardeso-Paredes, B., Muñoz‐Esparza, C., Jiménez‐Candil, J., Sánchez, P. L., Rey-Rañal, E. M., Pascual-Figal, D. A., et al. (2025) · Heart Rhythm · doi:10.1016/j.hrthm.2025.12.011
Haybar, H., Shirbandi, K., & Rahim, F. (2021) · Figshare · doi:10.6084/m9.figshare.17125738
Liang, W. ‐., Wu, Y., Xue, R., Wu, Z., Wu, D., He, J., Dong, Y., Lip, G. Y. H., Zhu, W., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14053470
Liu, X., Abudukeremu, A., Jiang, Y., Cao, Z., Wu, M., Ma, J., Sun, R., He, W., Chen, Z., Chen, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26590398
Haybar, H., Shirbandi, K., & Rahim, F. (2021) · Figshare · doi:10.6084/m9.figshare.17125741
Grout, R. W., Hui, S. L., Imler, T. D., El‐Azab, S. A., Baker, J., Sands, G. H., Ateya, M., & Pike, F. (2021) · Figshare · doi:10.6084/m9.figshare.14369959
Haybar, H., Shirbandi, K., & Rahim, F. (2021) · Figshare · doi:10.6084/m9.figshare.17125735
Bouchlarhem, A., Aissi, W., Boulouiz, S., Bazid, Z., Ismaili, N., & Ouafi, N. E. (2026) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/10760296261422491
Norrman, A., Wachtler, C., Wändell, P. E., Eriksson, J., Ruge, T., Brynedal, B., Hasselström, J., Kahan, T., & Carlsson, A. C. (2026) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-026-03491-4
“Obesity [6, 7] was identified as a contributing factor but not a diagnosis of alcohol dependence; however, other lifestyle and behavioral variables including the level of alcohol consumption, smoking, physical inactivity, and family history of AF were absent from our dataset.”
Relationship between paroxysmal atrial fibrillation and the Osaka Prognostic Score
Yıldırım, E., Demiröz, Ö., Eynel, E., Gökçek, M. D., Yılmaz, D., Özel, S. K., Erbil, E., Yalçın, D., & Bayram, M. (2026) · Herz · doi:10.1007/s00059-026-05396-4
Metadata
- Authors
- Chamberlain, A. M., Agarwal, S. K., Folsom, A. R., Soliman, E. Z., Chambless, L. E., Crow, R., Ambrose, M., & Alonso, A.
- Affiliations
- Mayo Clinic (US)
- University of North Carolina at Chapel Hill (US)
- University of Minnesota (US)
- Wake Forest University Health Sciences (US)
- Johns Hopkins University (US)
- Corresponding author
- Chamberlain, Alanna M.
- ORCID
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 107
- Issue
- 1
- Pages
- 85-91
- ISSN
- 0002-9149 (ISSN-L)
- PMC
- PMC3031130
- OpenAlex
- W2154432863
- Cited by
- 354
- References
- 30
- Citations by year
- 2026: 6 · 2025: 22 · 2024: 25 · 2023: 19 · 2022: 24 · 2021: 37 · 2020: 30 · 2019: 14 · 2018: 24 · 2017: 26 · 2016: 33 · 2015: 17 · 2014: 22 · 2013: 31 · 2012: 14
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The American Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- American Heart Association (RC1HL101056, RC1HL099452)
- National Heart, Lung, and Blood Institute (T32-HL-007779, 09SDG2280087)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- atrial fibrillation, risk score, new-onset atrial fibrillation, Framingham Heart Study, Atherosclerosis Risk in Communities Study, racial differences, black and white populations, left atrial enlargement, left ventricular hypertrophy, hypertension, diabetes mellitus, heart failure, coronary artery disease
- MeSH terms
- Atrial Fibrillation, Female, Follow-Up Studies, Forecasting, Humans, Male, Middle Aged, Risk Factors, Cohort Studies, Incidence
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