Echocardiographic Parameters for Predicting Atrial Fibrillation Following Ischemic Stroke: The PER DIEM

Andy Jiang1, Brian H Buck2, Michael D Hill3

  • 1Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Insights

Atrial fibrillation (AF) detection after ischemic stroke is improved by using echocardiography. Key parameters like left atrial volume index and left ventricular global longitudinal strain can help identify patients needing further monitoring.

Area of Science:

  • Cardiology
  • Neurology
  • Medical Imaging

Background:

  • Atrial fibrillation (AF) detection post-ischemic stroke is crucial for patient management.
  • Echocardiography (echo) is frequently performed after stroke and can identify patients for rhythm monitoring.
  • The PER DIEM trial showed implantable loop recorders (ILRs) detect AF more effectively than external monitors.

Purpose of the Study:

  • To investigate the association between baseline echocardiographic parameters and the detection of poststroke AF.
  • To identify specific echo features that predict AF in patients following an ischemic stroke.

Main Methods:

  • A substudy of the PER DIEM trial included patients with complete transthoracic echocardiograms post-ischemic stroke.
  • Demographic, clinical, and echocardiographic data were collected and compared between patients with and without AF.
  • Statistical analyses were performed to determine associations between echo parameters and AF detection.

Main Results:

  • Poststroke AF was detected in 12.4% of the 153 patients studied.
  • Patients with AF were older and had higher CHA2DS2-VASc scores.
  • Higher left atrial volume index (LAVI) and lower left ventricular global longitudinal strain (LV GLS) were significantly associated with AF detection.

Conclusions:

  • Left atrial volume index and LV GLS are significantly associated with subsequent AF detection in ischemic stroke patients.
  • These echocardiographic findings can aid in risk stratification for AF monitoring strategies.
  • Improved AF detection can lead to more targeted management following ischemic stroke.
Abstract

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