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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.
Background:
Interatrial block (IAB) in an ECG, manifesting atrial pathology, is a possible risk factor for atrial arrhythmias and ischemic stroke. IAB is often transiently expressed, posing a major challenge for risk estimation when only a limited number of ECGs are available.
Methods:
This is a retrospective study of 9674 consecutive patients diagnosed with acute coronary syndrome (ACS) between 2007 and 2018. All standard ECGs registered between January 2007 and March 2023 (n=206 668) were digitally stored and analyzed using the General Electric Marquette 12SL algorithm for the presence of an IAB, atrial fibrillation, and atrial flutter. The population was stratified by the extent of the IAB, and patients without an IAB served as controls. Clinical phenotype data and end point data for ischemic stroke were collected by a full disclosure review of hospital records and death certificate data including written accounts of deaths.
Results:
The prevalence of an advanced IAB was 8.5% if all previous ECGs, including those recorded during ACS, were screened, whereas it was only 2.4% during ACS. The risk of atrial fibrillation/atrial flutter after ACS increased with the severity of the IAB, and the highest risk was attributable to advanced IAB (age- and sex-adjusted hazard ratio [HR], 2.87 [95% CI, 2.48-3.32]; P<0.00001; and fully risk-factor adjusted [including left ventricular ejection fraction] HR, 2.22 [95% CI, 1.89-2.62]; P<0.00001). Advanced IAB was also associated with an almost 2-fold risk of ischemic stroke if adjusted for the CHA2DS2-VASc score (HR, 1.95 [95% CI, 1.47-2.58]; P<0.00001).
Conclusions:
Automatic detection of an IAB from serial ECGs reveals a strong association between atrial pathology and the risk of atrial fibrillation, atrial flutter, and ischemic stroke in patients with ACS.
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