Performance of an electronic health record-based predictive model to identify patients with atrial fibrillation across countries.

ABSTRACT:

Background

Atrial fibrillation (AF) burden on patients and healthcare systems warrants innovative strategies for screening asymptomatic individuals.

Objective

We sought to externally validate a predictive model originally developed in a German population to detect unidentified incident AF utilising real-world primary healthcare databases from countries in Europe and Australia.

Methods

This retrospective cohort study used anonymized, longitudinal patient data from 5 country-level primary care databases, including Australia, Belgium, France, Germany, and the UK. The study eligibility included adult patients (≥45 years) with either an AF diagnosis (cases) or no diagnosis (controls) who had continuous enrolment in the respective database prior to the study period. Logisti

SUBMITTER: Mokgokong R 

PROVIDER: S-EPMC9269467 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature