Predicting Atrial Fibrillation after Ischemic Stroke: Clinical, Genetics, and Electrocardiogram Modelling.

ABSTRACT:

Introduction

Detection of atrial fibrillation (AF) is challenging in patients after ischaemic stroke due to its paroxysmal nature. We aimed to determine the utility of a combined clinical, electrocardiographic, and genetic variable model to predict AF in a post-stroke population.

Materials and methods

We performed a cohort study at a single comprehensive stroke centre from November 09, 2009, to October 31, 2017. All patients recruited were diagnosed with acute ischaemic stroke or transient ischaemic attacks. Electrocardiographic variables including p-wave terminal force (PWTF), corrected QT interval (QTc), and genetic variables including single nucleotide polymorphisms (SNPs) at the 4q25 (rs2200733) were evaluated. Clinical, electrocardiographic and genetic variables of pati

SUBMITTER: Poh MQW 

PROVIDER: S-EPMC10015706 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature