Evaluation of a Prediction Model for the Development of Atrial Fibrillation in a Repository of Electronic Medical Records.

Kolek MJ, Graves AJ, Xu M, Bian A, Teixeira PL, Shoemaker MB, Parvez B, Xu H, Heckbert SR, Ellinor PT, Benjamin EJ, Alonso A, Denny JC, Moons KG, Shintani AK, Harrell FE, Roden DM, Darbar D. Evaluation of a Prediction Model for the Development of Atrial Fibrillation in a Repository of Electronic Medical Records. JAMA cardiology. 2016 Dec 1;1(1). 1007-1013. PMID: 27732699 [PubMed] PMCID: PMC5293184 NIHMSID: NIHMS846282.

Abstract

Atrial fibrillation (AF) contributes to substantial morbidity, mortality, and health care expenditures. Accurate prediction of incident AF would enhance AF management and potentially improve patient outcomes.