Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis.

ABSTRACT:

Aims

Atrial fibrillation (AF) is a common arrhythmia associated with an increased stroke risk. The use of multivariable prediction models could result in more efficient primary AF screening by selecting at-risk individuals. We aimed to determine which model may be best suitable for increasing efficiency of future primary AF screening efforts.

Methods and results

We performed a systematic review on multivariable models derived, validated, and/or augmented for AF prediction in community cohorts using Pubmed, Embase, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) through 1 August 2019. We performed meta-analysis of model discrimination with the summary C-statistic as the primary expression of associations using a random effects model. In case of high hete

SUBMITTER: Himmelreich JCL 

PROVIDER: S-EPMC7526764 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature