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

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...

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Detalles Bibliográficos
Autores principales: Alonso, Alvaro, Krijthe, Bouwe P., Aspelund, Thor, Stepas, Katherine A., Pencina, Michael J., Moser, Carlee B., Sinner, Moritz F., Sotoodehnia, Nona, Fontes, João 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., Kääb, Stefan, Couper, David, Harris, Tamara B., Soliman, Elsayed Z., Stricker, Bruno H. C., Gudnason, Vilmundur, Heckbert, Susan R., Benjamin, Emelia J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647274/
https://www.ncbi.nlm.nih.gov/pubmed/23537808
http://dx.doi.org/10.1161/JAHA.112.000102

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