Cited by 354Atrial Fibrillation Management and OutcomesAcute Ischemic Stroke ManagementCardiovascular Health and Risk Factors

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A Clinical Risk Score for Atrial Fibrillation in a Biracial Prospective Cohort (from the Atherosclerosis Risk In Communities [ARIC] Study)

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Chamberlain, Alanna M., Agarwal, Sunil K., Folsom, Aaron R., Soliman, Elsayed Z., Chambless, Lloyd E., Crow, Richard, Ambrose, Marietta, Alonso, Alvaro·2011·The American Journal of Cardiology

DOI 10.1016/j.amjcard.2010.08.049PMC PMC3031130

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Abstract

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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BackgroundMethod
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Self-citation
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Background
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BackgroundInfluential
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Influential
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A cohort study examination of established and emerging risk factors for atrial fibrillation: the Busselton Health Study
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BackgroundMethodResultInfluential
Multimorbidity and the risk of hospitalization and death in atrial fibrillation: A population-based study
Chamberlain, A. M., Alonso, Á., Gersh, B. J., Manemann, S. M., Killian, J. M., Weston, S. A., Byrne, M., & Roger, V. L. (2016) · American Heart Journal · doi:10.1016/j.ahj.2016.11.008 · Cited by 125
“The risk factors for AF have been studied, and several risk prediction tools have been developed to ascertain an individual's risk of developing AF.(5-9) Patients with AF have an excess risk of hospitalization and death than do patients without AF.”
Self-citation
Electrocardiographic PR Interval and Adverse Outcomes in Older Adults
Magnani, J. W., Wang, N., Nelson, K. P., Connelly, S., Deo, R., Rodondi, N., Schelbert, E. B., Garcia, M. E., Phillips, C. L., Shlipak, M. G., et al. (2012) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.112.975342 · Cited by 120
“PR interval has been associated with AF in multiple longitudinal cohort studies, as has its constituent component, P wave duration.(14,27,28) There has been discussion regarding the decreased prevalence of AF in blacks, despite both clinical risk factors and prolonged measures of atrial electric function, compared wit…”
Result
Poststroke atrial fibrillation: Cause or consequence?
Sposato, L. A., Riccio, P. M., & Hachinski, V. (2014) · Neurology · doi:10.1212/wnl.0000000000000265 · Cited by 116
“Neurology 82 April 1, 2014 1183 CABG surgery (OR 0.60, 95% CI 0.46–0.78).55 Further studies are needed for assessing the benefit of these drugs and other agents (i.e., angiotensin inhibitors and diuretics) in the acute setting of ischemic stroke for preventing the occurrence of paroxysmal AF.”
BackgroundInfluential
Genetic Risk Prediction of Atrial Fibrillation
Lubitz, S. A., Yin, X., Lin, H. J., Kolek, M. J., Smith, J. G., Trompet, S., Rienstra, M., Rost, N. S., Teixeira, P. L., Almgren, P., et al. (2016) · Circulation · doi:10.1161/circulationaha.116.024143 · Cited by 113
Self-citation
Association of Sex Hormones, Aging, and Atrial Fibrillation in Men: The Framingham Heart Study
Magnani, J. W., Moser, C. B., Murabito, J. M., Sullivan, L. M., Wang, N., Ellinor, P. T., Vasan, R. S., Benjamin, E. J., & Coviello, A. D. (2014) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.113.001322 · Cited by 112
“The risk of incident AF in men is approximately twice that of women.(1) As a result, we consider identifying sex-specific risk factors as relevant to the epidemiology of AF.”
Background
Associations of electrocardiographic P-wave characteristics with left atrial function, and diffuse left ventricular fibrosis defined by cardiac magnetic resonance: The PRIMERI Study
Win, T. T., Ambale‐Venkatesh, B., Volpe, G. J., Mewton, N., Rizzi, P., Sharma, R. K., Strauss, D. G., Lima, J. A. C., & Tereshchenko, L. G. (2014) · Heart Rhythm · doi:10.1016/j.hrthm.2014.09.044 · Cited by 114
“Common risk factors of AF (hypertension, coronary heart disease, HF, and diabetes) are well acknowledged.(7,8) In response”
Background
Development of a Basic Risk Score for Incident Atrial Fibrillation in a Japanese General Population ― The Suita Study ―
Kokubo, Y., Watanabe, M., Higashiyama, A., Nakao, Y. M., KUSANO, K. F., & Miyamoto, Y. (2017) · Circulation Journal · doi:10.1253/circj.cj-17-0277 · Cited by 110
National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand: Australian clinical guidelines for the diagnosis and management of atrial fibrillation 2018
Brieger, D. B., Amerena, J. V., Attia, J., Bajorek, B. V., Chan, K. H., Connell, C., Freedman, B., Ferguson, C., Hall, T. L., Haqqani, H. M., et al. (2018) · The Medical Journal of Australia · doi:10.5694/mja18.00646 · Cited by 110
The prevalence of and factors associated with chronic atrial fibrillation in Medicare/Medicaid-eligible dialysis patients
Wetmore, J. B., Mahnken, J. D., Rigler, S. K., Ellerbeck, E. F., Mukhopadhyay, P., Spertus, J. A., Hou, Q., & Shireman, T. I. (2011) · Kidney International · doi:10.1038/ki.2011.416 · Cited by 106
The impact of height on the risk of atrial fibrillation: the Cardiovascular Health Study
Rosenberg, M. A., Patton, K. K., Sotoodehnia, N., Karas, M. G., Kizer, J. R., ZIMETBAUM, P. J., Chang, J. D., Siscovick, D. S., Gottdiener, J. S., Kronmal, R. A., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs301 · Cited by 102
A comparison of the CHARGE–AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study
Christophersen, I. E., Yin, X., Larson, M. G., Lubitz, S. A., Magnani, J. W., McManus, D. D., Ellinor, P. T., & Benjamin, E. J. (2016) · American Heart Journal · doi:10.1016/j.ahj.2016.05.004 · Cited by 102
C 2 HEST Score and Prediction of Incident Atrial Fibrillation in Poststroke Patients: A French Nationwide Study
Li, Y., Bisson, A., Bodin, A., Herbert, J., Grammatico‐Guillon, L., Joung, B., Wang, Y., Lip, G. Y. H., & Fauchier, L. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.012546 · Cited by 102
Association of smoking with the risk of incident atrial fibrillation: A meta-analysis of prospective studies
Zhu, W., Yuan, P., Shen, Y., Wan, R., & Hong, K. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.05.013 · Cited by 102
“Among these 16 articles, 8 articles[22, 23, 27, 28, 30, 31, 33, 34] divided participants into never, former, and current smokers, while 4 articles[25, 28, 29, 33] compared the risk of AF between”
Influential
Carotid Intima‐Media Thickness and Arterial Stiffness and the Risk of Atrial Fibrillation: The Atherosclerosis Risk in Communities (ARIC) Study, Multi‐Ethnic Study of Atherosclerosis (MESA), and the Rotterdam Study
Chen, L. Y., Leening, M. J. G., Norby, F. L., Roetker, N. S., Albert Hofman, D., Franco, O. H., Pan, W., Polak, J. F., Witteman, J. C. M., Kronmal, R. A., et al. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.002907 · Cited by 103
Self-citation
Associations of Abdominal Obesity and New‐Onset Atrial Fibrillation in the General Population
Baek, Y., Yang, P., Kim, T., Uhm, J., Park, J., Pak, H., Lee, M., & Joung, B. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004705 · Cited by 100
“In community-dwelling cohorts, increased WC and waist-to-hip circumference ratio are associated with 11% to 13% higher risk of AF over a 13- to 15-year follow-up period.(4,8,39) Elevated body fat mass has been recently associated with a 29% increased risk of AF during a 13.”
Background
Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis
Himmelreich, J. C. L., Veelers, L., Lucassen, W. A. M., Schnabel, R. B., Rienstra, M., van Weert, H. C. P. M., & Harskamp, R. E. (2020) · EP Europace · doi:10.1093/europace/euaa005 · Cited by 100
“…0.00; I2 = 94% Heterogeneity: Tau2 = 0.00; I2 = 100% Heterogeneity: Tau2 = 0.00; I2 = 100% FHS-AF ten-year model Alonso 2013 (AGES) Alonso 2013 (RS) Chamberlain 2011 (ARIC) Kokubo 2017 (Suita) Schnabel 2009 (FHS)a Subtotal (95% CI) 4469 3203 14546 6864 4764 33846 20.0% 18.2% 20.1% 20.6% 21.2%…”
Influential
Blood pressure, hypertension and the risk of atrial fibrillation: a systematic review and meta-analysis of cohort studies
Aune, D., Mahamat‐Saleh, Y., Kobeissi, E., Feng, T., Heath, A. K., & Janszky, I. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-022-00914-0 · Cited by 105
Progress toward the prevention and treatment of atrial fibrillation: A summary of the Heart Rhythm Society Research Forum on the Treatment and Prevention of Atrial Fibrillation, Washington, DC, December 9–10, 2013
Wagoner, D. R. V., Piccini, J. P., Albert, C. M., Anderson, M. E., Benjamin, E. J., Brundel, B. J. J. M., Califf, R. M., Calkins, H. G., Chen, P., Chiamvimonvat, N., et al. (2014) · Heart Rhythm · doi:10.1016/j.hrthm.2014.11.011 · Cited by 95
Invited review: hypertension and atrial fibrillation: epidemiology, pathophysiology, and implications for management
Gumprecht, J. J., Domek, M., Lip, G. Y. H., & Shantsila, A. (2019) · Journal of Human Hypertension · doi:10.1038/s41371-019-0279-7 · Cited by 98
Comprehensive risk reduction in patients with atrial fibrillation: Emerging diagnostic and therapeutic options
Lip, G. Y. H., Gelder, I. C. V., Bax, J. J., Hylek, E. M., Kääb, S., Schotten, U., Wegscheider, K., Boriani, G., Ezekowitz, M. D., Diener, H. C., et al. (2011) · Thrombosis and Haemostasis · doi:10.1160/th11-07-0517 · Cited by 91
Hypertension and Atrial Fibrillation: An Intimate Association of Epidemiology, Pathophysiology, and Outcomes
Dzeshka, M. S., Shahid, F., Shantsila, A., & Lip, G. Y. H. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx013 · Cited by 91
Pre dicting D eterminants of A trial Fibrillation or Flutter for T herapy E lucidation in Patients at Risk for Thromboembolic Events (PREDATE AF) Study
Nasir, J. M., Pomeroy, W. C., Marler, A. T., Hann, M. C., Baykaner, T., Jones, R., Stoll, R., Hursey, K., Meadows, A., Walker, J., et al. (2017) · Heart Rhythm · doi:10.1016/j.hrthm.2017.04.026 · Cited by 92
Incidence and risk factors for new-onset atrial fibrillation among patients with end-stage renal disease undergoing renal replacement therapy
Liao, J., Chao, T., Liu, C., Wang, K.-L., Chen, S., Lin, Y., Chang, S., Lo, L., Hu, Y., Tuan, T., et al. (2015) · Kidney International · doi:10.1038/ki.2014.393 · Cited by 90
Position paper of the European Society of Cardiology–working group of coronary pathophysiology and microcirculation: obesity and heart disease
Badimón, L., Bugiardini, R., Cenko, E., Cubedo, J., Dorobanţu, M., Duncker, D. J., Estruch, R., Miličić, D., Tousoulis, D., Vasiljević, Z., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx181 · Cited by 89
New electrocardiographic score for the prediction of atrial fibrillation: The MVP ECG risk score (morphology‐voltage‐P‐wave duration)
Alexander, B., Milden, J., Hazim, B., Haseeb, S., Bayés‐Genís, A., Elosúa, R., Martínez‐Sellés, M., Yeung, C., Hopman, W. M., de Luna, A. B., et al. (2019) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12669 · Cited by 90
“…increase in the risk of major embolic events such as stroke as well as an increased risk of heart failure and death (Alonso et al., 2013; Chamberlain et al., 2011; January et al., 2014; Kokubo 1Division of Cardiology, Queen’s University, Kingston, Ontario, Canada 2Generalitat de…”
BackgroundMethod
Associations of Lipoprotein(a) Levels With Incident Atrial Fibrillation and Ischemic Stroke: The ARIC (Atherosclerosis Risk in Communities) Study
Aronis, K. N., Zhao, D., Hoogeveen, R. C., Alonso, Á., Ballantyne, C. M., Güallar, E., Jones, S. R., Martin, S. S., Nazarian, S., Steffen, B. T., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.007372 · Cited by 86
“Lp(a) levels are associated with atherosclerotic cardiovascular disease, which, in turn, is associated with incident AF.14,15 Other markers of atherosclerosis such as coronary calcium score and carotid intima- media thickness have been associated with AF.16,17 The role of Lp(a) as an independent risk factor for AF rem…”
BackgroundInfluential
Body fat, body fat distribution, lean body mass and atrial fibrillation and flutter. A Danish cohort study
Frost, L., Benjamin, E. J., Fenger‐Grøn, M., Pedersen, A., Tjønneland, A. M., & Overvad, K. (2014) · Obesity · doi:10.1002/oby.20706 · Cited by 87
“8 Alcohol (g per day) 13 (2-47) 16 (2-59) Total energy intake (kj per day) 9544 (6604-13385) 9920 (6918-13835)”
Background
Atrial Fibrillation Predictors: Importance of the Electrocardiogram
German, D. M., Kabir, M., Dewland, T. A., Henrikson, C. A., & Tereshchenko, L. G. (2015) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12321 · Cited by 85
“78,[70] and has been shown to correlate with underlying structural changes in the atria, such as infiltrated atrial adipose tissue.”
New-onset atrial fibrillation prediction: the HARMS2-AF risk score
Segan, L. A., Cánovas, R., Nanayakkara, S., Chieng, D., Prabhu, S., Voskoboinik, A., Sugumar, H., Ling, L., Lee, G., Morton, J. B., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad375 · Cited by 90
Prediction of Atrial Fibrillation in a Racially Diverse Cohort: The Multi‐Ethnic Study of Atherosclerosis (MESA)
Alonso, Á., Roetker, N. S., Soliman, E. Z., Chen, L. Y., Greenland, P., & Heckbert, S. R. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.003077 · Cited by 81
“Starting with a risk score created by the Framingham Heart Study (FHS) investigators,(4) and validated in separate cohorts,(5) other models have been developed in single cohorts, such as the Atherosclerosis Risk in Communities (ARIC) study.(6) More recently, the Cohorts for Heart and Aging Research in Genomic Epidemio…”
MethodSelf-citation
Atrial Fibrillation Detected after Acute Ischemic Stroke: Evidence Supporting the Neurogenic Hypothesis
Toledo, M. E. G., Klein, F., Riccio, P. M., Cassará, F. P., Giacomelli, F. M., Racosta, J. M., Roberts, E., & Sposato, L. A. (2013) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2013.05.015 · Cited by 79
U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
Liu, X., Abudukeremu, A., Jiang, Y., Cao, Z., Wu, M., Ma, J., Sun, R., He, W., Chen, Z., Chen, Y., et al. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01777-9 · Cited by 80
Obesity Begets Atrial Fibrillation
Magnani, J. W., Hylek, E. M., & Apovian, C. M. (2013) · Circulation · doi:10.1161/circulationaha.113.001840 · Cited by 72
“Two of the risk scores were conducted in biracial cohorts, thereby enhancing their generalizability.(7,8) Figure 1 presents the Framingham Heart Study 10-year AF risk calculator for the patient described in the case presentation (http://www.”
Electrocardiographic abnormalities and cardiac arrhythmias in chronic obstructive pulmonary disease
Goudis, C. A., Konstantinidis, A. K., Ntalas, I. V., & Korantzopoulos, P. G. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.06.096 · Cited by 72
American Heart Association's Life Simple 7 and Risk of Atrial Fibrillation in a Population Without Known Cardiovascular Disease: The ARIC (Atherosclerosis Risk in Communities) Study
Garg, P. K., O’Neal, W. T., Chen, L. Y., Loehr, L. R., Sotoodehnia, N., Soliman, E. Z., & Alonso, Á. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.117.008424 · Cited by 74
Self-citation
Risk factors and outcomes associated with new-onset atrial fibrillation during acute respiratory distress syndrome
Ambrus, D. B., Benjamin, E. J., Bajwa, E. K., Hibbert, K. A., & Walkey, A. J. (2015) · Journal of Critical Care · doi:10.1016/j.jcrc.2015.06.003 · Cited by 69
“Prior studies using population-based [2,3], singlecenter [7-9], or trial [10] data have shown that acute factors (eg, choice of vasopressor, acute organ failures, mechanical ventilation, and right heart catheterization), rather than preexisting cardiovascular comorbidities [11,12] are associated with increased risk fo…”
Trajectories of Risk Factors and Risk of New-Onset Atrial Fibrillation in the Framingham Heart Study
Rahman, F., Yin, X., Larson, M. G., Ellinor, P. T., Lubitz, S. A., Vasan, R. S., McManus, D. D., Magnani, J. W., & Benjamin, E. J. (2016) · Hypertension · doi:10.1161/hypertensionaha.116.07683 · Cited by 68
Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians
Suenari, K., Chao, T., Liu, C.-J., Kihara, Y., Chen, T.-J., & Chen, S.-A. (2017) · Medicine · doi:10.1097/md.0000000000005597 · Cited by 67
Low testosterone levels are predictive for incident atrial fibrillation and ischaemic stroke in men, but protective in women – results from the FINRISK study
Zeller, T., Schnabel, R. B., Appelbaum, S., Ojeda, F., Berisha, F., Steinberg, B. S., Brueckmann, B.-E., Kuulasmaa, K., Jousilahti, P., Blankenberg, S., et al. (2018) · European Journal of Preventive Cardiology · doi:10.1177/2047487318778346 · Cited by 70
Relation of Elevated Serum Uric Acid Levels to Incidence of Atrial Fibrillation in Patients With Type 2 Diabetes Mellitus
Valbusa, F., Bertolini, L., Bonapace, S., Zenari, L., Zoppini, G., Arcaro, G., Byrne, C. D., & Targher, G. (2013) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2013.04.012 · Cited by 65
Performance of the CHARGE-AF risk model for incident atrial fibrillation in the EPIC Norfolk cohort
Pfister, R., Brägelmann, J., Michels, G., Wareham, N. J., Luben, R., & Khaw, K. (2014) · European Journal of Preventive Cardiology · doi:10.1177/2047487314544045 · Cited by 65
“thoroughly or included risk factors which are not routinely available in primary care such as PR interval on ECG and echocardiographic left-ventricular hypertrophy and left atrial enlargement.(6,7) Recently the CHARGE-HF consortium published a simple risk model derived from three US cohorts using variables readily ava…”
Method
In-hospital and 12-month follow-up outcome from the ESC-EORP EHRA Atrial Fibrillation Ablation Long-Term registry: sex differences
Grecu, M., Blomström‐Lundqvist, C., Kautzner, J., Laroche, C., Gelder, I. C. V., Jordaens, L. J. L. M., Tavazzi, L., Cihak, R. J., Campal, J. M. R., Kalarus, Z. F., et al. (2019) · EP Europace · doi:10.1093/europace/euz225 · Cited by 64
How will machine learning inform the clinical care of atrial fibrillation?
Siontis, K. C., Yao, X., Pirruccello, J. P., Philippakis, A. A., & Noseworthy, P. A. (2020) · Circulation Research · doi:10.1161/circresaha.120.316401 · Cited by 61
Adult height and risk of ischemic heart disease, atrial fibrillation, stroke, venous thromboembolism, and premature death: a population based 36-year follow-up study
Schmidt, M., Bøtker, H. E., Pedersen, L. H., & Sørensen, H. T. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9867-y · Cited by 62
Explaining the inconsistent associations of PR interval with mortality: The role of P-duration contribution to the length of PR interval
Soliman, E. Z., Cammarata, M., & Li, Y. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.10.003 · Cited by 62
Self-citation
2016 ACC/AHA Clinical Performance and Quality Measures for Adults With Atrial Fibrillation or Atrial Flutter
Heidenreich, P. A., Solis, P., Estes, N. A. M., Fonarow, G. C., Jurgens, C. Y., Marine, J. E., McManus, D. D., & McNamara, R. L. (2016) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/hcq.0000000000000018 · Cited by 62
NT-proBNP is a powerful predictor for incident atrial fibrillation — Validation of a multimarker approach
Svennberg, E., Lindahl, B., Berglund, L., Eggers, K. M., Venge, P., Zethelius, B., Rosenqvist, M., Lind, L., & Hijazi, Z. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.08.001 · Cited by 60
Atrial Fibrillation
Camm, A. J., Savelieva, I., Ho, S. Y., Lindsay, B. D., Nattel, S., & Shinagawa, K. (2009) · Elsevier eBooks · doi:10.1016/b978-1-4377-0285-9.00044-2 · Cited by 60
Clinical Predictors of Risk for Atrial Fibrillation
Brunner, K. J., Bunch, T. J., Mullin, C. M., May, H. T., Bair, T. L., Elliot, D. W., Anderson, J. L., & Mahapatra, S. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.08.016 · Cited by 59
Usefulness of the Electrocardiographic P-Wave Axis as a Predictor of Atrial Fibrillation
Rangel, M. O., O’Neal, W. T., & Soliman, E. Z. (2015) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2015.10.013 · Cited by 58
Self-citation
2016 ACC/AHA Clinical Performance and Quality Measures for Adults With Atrial Fibrillation or Atrial Flutter
Heidenreich, P. A., Solis, P., Estes, N. A. M., Fonarow, G. C., Jurgens, C. Y., Marine, J. E., McManus, D. D., & McNamara, R. L. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.03.521 · Cited by 58
Atrial Fibrillation and Race – A Contemporary Review
Amponsah, M., Benjamin, E. J., & Magnani, J. W. (2013) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-013-0327-8 · Cited by 55
Atrial fibrillation: age at diagnosis, incident cardiovascular events, and mortality
Paludan‐Müller, C., Vad, O. B., Stampe, N. K., Diederichsen, S. Z., Andreasen, L., Monfort, L. M., Fosbøl, E. L., Køber, L., Torp-Pedersen, C. T., Svendsen, J. H., et al. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae216 · Cited by 58
“Conventional AF prediction models have mostly been based on non-modifiable risk factors, 2,32,33 but the HARMS 2 -AF model incorporating lifestyle factors was recently Figure 4 Average life expectancy.”

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: Chamberlain, Alanna M.
Agarwal, Sunil K.
Folsom, Aaron R.
Soliman, Elsayed Z.
Chambless, Lloyd E.
Ambrose, Marietta
Venue: The American Journal of Cardiology
Publisher: Elsevier BV
Published: 2011-01
Volume: 107
Issue: 1
Pages: 85-91
ISSN: 0002-9149 (ISSN-L)
DOI: 10.1016/j.amjcard.2010.08.049
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
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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A Clinical Risk Score for Atrial Fibrillation in a Biracial Prospective Cohort (from the Atherosclerosis Risk In Communities [ARIC] Study)

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