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

ABSTRACT:

Importance

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.

Objective

To validate the AF risk prediction model originally developed by the Cohorts for Heart and Aging Research in Genomic Epidemiology-Atrial Fibrillation (CHARGE-AF) investigators using a large repository of electronic medical records (EMRs).

Design, setting, and participants

In this prediction model study, deidentified EMRs of 33 494 individuals 40 years or older who were white or African American and had no history of AF were reviewed and analyzed. The participants were followed up in the internal medicine outpatient clinics at Vanderbilt Unive

SUBMITTER: Kolek MJ 

PROVIDER: S-EPMC5293184 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature