Atrial premature beats predict atrial fibrillation in cryptogenic stroke: results from the EMBRACE trial

David J Gladstone1, Paul Dorian2, Melanie Spring2

  • 1From the Division of Neurology (D.J.G.), Department of Medicine (D.J.G., P.D., M.S., M.M.), and Dalla Lana School of Public Health (K.E.T.), University of Toronto, Toronto, Ontario, Canada; University of Toronto Stroke Program, Toronto, Ontario, Canada (D.J.G.); Division of Neurology, Department of Medicine, and the Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, Ontario, Canada (D.J.G.); Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada (D.J.G.); Applied Health Research Centre (AHRC), Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada (M.M., V.P., K.E.T.); and Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H.). david.gladstone@sunnybrook.ca.

Stroke
|February 21, 2015
PubMed

Insights

Frequent atrial premature beats (APBs) on a 24-hour Holter ECG predict subclinical atrial fibrillation (AF) in cryptogenic stroke patients. Higher APB counts indicate a greater likelihood of AF, guiding prolonged monitoring decisions.

Area of Science:

  • Cardiology
  • Neurology
  • Clinical Electrophysiology

Background:

  • Cryptogenic stroke and transient ischemic attacks (TIAs) are often linked to undetected atrial fibrillation (AF).
  • Identifying patients at high risk for subclinical AF is crucial for stroke prevention.

Purpose of the Study:

  • To identify predictors of subclinical atrial fibrillation (AF) in patients with cryptogenic stroke or TIA.
  • To determine which baseline variables are associated with AF detection.

Main Methods:

  • Prospective study of patients aged ≥55 years with cryptogenic stroke/TIA in sinus rhythm.
  • Baseline 24-hour Holter ECG followed by random assignment to 30-day ECG monitoring if AF was not detected.
  • Multivariable logistic regression analyzed predictors like atrial premature beats (APBs), atrial tachycardia, age, and left atrial enlargement.

Main Results:

  • A higher count of APBs on baseline Holter ECG strongly predicted subsequent AF detection.
  • APB count was the sole significant predictor of AF detection at 30 days, 90 days, and 2 years.
  • The probability of AF detection increased in a dose-dependent manner with higher APB counts.

Conclusions:

  • The number of APBs on a 24-hour Holter ECG is a significant, dose-dependent predictor of subclinical AF in older patients with cryptogenic stroke/TIA.
  • Patients with frequent APBs are ideal candidates for prolonged ECG monitoring to detect AF.
Abstract

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