Interatrial Block Detected by a Series of ECGs Before and During Acute Coronary Syndrome Predicts Atrial

Ville Aarnivala1, Tiia Istolahti2, Matilda Hurskainen1

  • 1Faculty of Medicine and Health Technology Tampere University Tampere Finland.

Insights

Interatrial block (IAB) detected on serial ECGs significantly increases the risk of atrial fibrillation, atrial flutter, and stroke in acute coronary syndrome (ACS) patients. Early detection of IAB is crucial for risk stratification.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Clinical Medicine

Background:

  • Interatrial block (IAB) indicates atrial pathology and is a potential risk factor for atrial arrhythmias and ischemic stroke.
  • The transient nature of IAB presents challenges in risk assessment, especially with limited ECG data.

Purpose of the Study:

  • To investigate the association between interatrial block (IAB) and the risk of atrial fibrillation, atrial flutter, and ischemic stroke in patients with acute coronary syndrome (ACS).
  • To evaluate the utility of automatic detection of IAB from serial ECGs for risk stratification in ACS patients.

Main Methods:

  • Retrospective analysis of 9674 ACS patients' ECGs (n=206,668) from 2007-2023.
  • Digital ECG analysis using the GE Marquette 12SL algorithm for IAB, atrial fibrillation, and atrial flutter detection.
  • Stratification by IAB extent, with patients without IAB as controls; collection of clinical and stroke endpoint data.

Main Results:

  • Advanced IAB prevalence was 8.5% when screening all ECGs, versus 2.4% during ACS.
  • The risk of atrial fibrillation/flutter post-ACS increased with IAB severity (aHR 2.87 for advanced IAB).
  • Advanced IAB was linked to a nearly 2-fold increased risk of ischemic stroke (aHR 1.95).

Conclusions:

  • Automatic detection of IAB from serial ECGs in ACS patients reveals a strong link between atrial pathology and subsequent risks.
  • IAB is a significant predictor of atrial arrhythmias and ischemic stroke in the ACS population.
  • Serial ECG analysis for IAB can improve risk stratification for cardiovascular events in ACS patients.
Abstract

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