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

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Alonso, Alvaro; Krijthe, Bouwe P.; Aspelund, Thor; Stepas, Katherine A.; Pencina, Michael J.; Moser, Carlee B.; Sinner, Moritz F.; Sotoodehnia, Nona; Fontes, Joao D.; Janssens, A. Cecile J. W.; Kronmal, Richard A.; Magnani, Jared W.; Witteman, Jacqueline C.; Chamberlain, Alanna M.; Lubitz, Steven A.; Schnabel, Renate B.; Agarwal, Sunil K.; McManus, David D.; Ellinor, Patrick T.; Larson, Martin G.; Burke, Gregory L.; Launer, Lenore J.; Hofman, Albert; Levy, Daniel; Gottdiener, John S.; Kaeaeb, Stefan; Couper, David; Harris, Tamara B.; Soliman, Elsayed Z.; Stricker, Bruno H. C.; ... view all 33 authors

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 c... View more