Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis.

ABSTRACT:

Objective

To identify ECG changes in sinus rhythm that may be used to predict subsequent development of new AF.

Method

We identified prospective and retrospective cohort or case control studies evaluating ECG patterns from a 12-lead ECG in sinus rhythm taken in hospital or community predicting subsequent development of new AF. For each identified ECG predictor, we then identify absolute event rates and pooled risk ratios (RR) using an aggregate level random effects meta-analysis.

Results

We identified 609,496 patients from 22 studies. ECG patterns included P wave terminal force V1 (PTFV1), interatrial block (IAB) and advanced interatrial block (aIAB), abnormal P wave axis (aPWA), PR prolongation and atrial premature complexes (APCs). Pooled risk ratios reached signifi

SUBMITTER: Berry-Noronha A 

PROVIDER: S-EPMC10472966 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature