Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium

Alonso, Álvaro; P. Krijthe, Bouwe; Aspelund, Thor; A. Stepas, Katherine; Pencina, Michael; Moser, Carlee; F. Sinner, Moritz; Sotoodehnia, Nona; D. Fontes, João; Cecile J.W. Janssens, A.; A. Kronmal, Richard; W. Magnani, Jared; C.M. Witteman, Jacqueline; M. Chamberlain, Alanna; A. Lubitz, Steven; B. Schnabel, Renate; Agarwal, Sunil; D. McManus, David; T. Ellinor, Patrick; G. Larson, Martin; L. Burke, Gregory; J. Launer, Lenore; Hofman, Albert; Levy, Daniel; S. Gottdiener, John; Kääb, Stefan; Couper, David; B. Harris, Tamara; Z. Soliman, Elsayed; H. Stricker, Bruno; Guðnason, Vilmundur; R. Heckbert, Susan; J. Benjamin, Emelia

doi:10.1161/jaha.112.000102

Public

Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium

Published in Journal of the American Heart Association • Mar 12, 2013

Authors:

Álvaro Alonso

Bouwe P. Krijthe

Thor Aspelund

Abstract

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 United States ...

Subject

Medicine

Atrial fibrillation

Atherosclerosis Risk in Communities

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