Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis.
Alexander Berry-NoronhaLuke BonaviaDuncan WilsonAntti ErantiMaria Uggen RasmussenAhmad SajadiehFabienne KreimerMichael GotzmannRamesh SahathevanPublished in: European stroke journal (2023)
APC and aIAB were most predictive of AF, while IAB, PR prolongation, PTFV1 and aPWA were also significantly associated with development of AF. These support their use in a screening tool to identify at risk cohorts who may benefit from further investigation, or following stroke, with empirical anticoagulation.