Atrial fibrillation detection using a automated electrocardiographic monitoring in a transient ischaemic attack

Lucio D'Anna1,2, Oishi Sikdar2, Suyin Lim2

  • 1Department of Brain Sciences, Imperial College London, London, UK l.danna@imperial.ac.uk.

BMJ Open Quality
|February 3, 2022
PubMed

Insights

Automated continuous ECG monitoring (ACEM) significantly improved atrial fibrillation detection in transient ischaemic attack (TIA) patients. This enhanced AF detection reduced the risk of recurrent stroke/TIA in a rapid outpatient TIA service.

Area of Science:

  • Neurology
  • Cardiology
  • Medical Technology

Background:

  • Transient ischaemic attack (TIA) services face delays in cardiac monitoring, potentially missing atrial fibrillation (AF) and increasing stroke risk.
  • Automated continuous ECG monitoring (ACEM) shows promise for AF detection, but its effectiveness in rapid TIA services is unproven.

Purpose of the Study:

  • To assess ACEM's impact on reducing cardiac monitoring delays in TIA patients.
  • To enhance AF detection rates and determine the effect of rapid ACEM initiation on 6-month recurrent stroke/TIA risk.

Main Methods:

  • An observational, prospective study comparing ACEM (phase 2) with routine 24h-Holter ECG (phase 1) in TIA patients.
  • Two cohorts were analyzed: phase 1 (n=136) and phase 2 (n=105), with no significant differences in demographics or monitoring duration.

Main Results:

  • Newly detected AF rates were significantly higher with ACEM (9.52%) versus routine monitoring (2.21%).
  • The 6-month risk of recurrent stroke/TIA was significantly lower in the ACEM group (1%) compared to the routine monitoring group (7.4%).

Conclusions:

  • Early initiation of ACEM in rapid TIA services improves AF detection.
  • ACEM implementation is associated with a reduced risk of recurrent TIA/stroke.
Abstract

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