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Updated: Mar 17, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Electrocardiographic Predictors of Incident Atrial Fibrillation
Kaylin T Nguyen1, Eric Vittinghoff2, Thomas A Dewland3
1Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, California.
Insights
Three electrocardiogram findings—left anterior fascicular block, prolonged QTC, and atrial premature complexes—independently predict new cases of atrial fibrillation (AF). These markers suggest distinct underlying mechanisms contribute to AF development.
Area of Science:
- Cardiology
- Electrophysiology
- Preventive Medicine
Background:
- Atrial fibrillation (AF) pathogenesis involves multiple, incompletely understood mechanisms.
- Previous electrocardiographic (ECG) predictors of AF may represent distinct pathophysiological pathways.
Purpose of the Study:
- To investigate if left anterior fascicular block (LAFB), prolonged QTC interval, and atrial premature complexes (APCs) independently predict incident AF.
- To determine the attributable risk of AF associated with each ECG marker.
Main Methods:
- Analysis of Cardiovascular Health Study participants without prevalent AF.
- Assessment of LAFB and QTC intervals on baseline ECG (n=4,696).
- Quantification of APC count from 24-hour Holter recordings (n=1,234).
- Statistical adjustment for confounders and mutual prediction among ECG markers.
Main Results:
- LAFB (HR 2.1, P=0.023), prolonged QTC (HR 2.5, P=0.002), and increased APC count (HR 1.2 per doubling, P<0.001) independently predicted incident AF.
- Attributable risk for AF was 35% for LAFB, 25% for prolonged QTC, and 34% for APCs.
- These findings held after adjusting for each other and potential confounders.
Conclusions:
- In a community-based cohort, LAFB, prolonged QTC, and APCs are each independent predictors of incident AF.
- These ECG markers likely represent distinct pathophysiological mechanisms contributing to AF development.
- Further research into these distinct mechanisms could inform targeted AF prevention strategies.
Abstract:
Atrial fibrillation (AF) is likely secondary to multiple different pathophysiological mechanisms that are increasingly but incompletely understood. Motivated by the hypothesis that 3 previously described electrocardiographic predictors of AF identify distinct AF mechanisms, we sought to determine if these electrocardiographic findings independently predict incident disease. Among Cardiovascular Health Study participants without prevalent AF, we determined whether left anterior fascicular block (LAFB), a prolonged QTC, and atrial premature complexes (APCs) each predicted AF after adjusting for each other. We then calculated the attributable risk in the exposed for each electrocardiographic marker. LAFB and QTC intervals were assessed on baseline 12-lead electrocardiogram (n = 4,696). APC count was determined using 24-hour Holter recordings obtained in a random subsample (n = 1,234). After adjusting for potential confounders and each electrocardiographic marker, LAFB (hazard ratio [HR] 2.1, 95% confidence interval [CI] 1.1 to 3.9, p = 0.023), a prolonged QTC (HR 2.5, 95% CI 1.4 to 4.3, p = 0.002), and every doubling of APC count (HR 1.2, 95% CI 1.1 to 1.3, p <0.001) each remained independently predictive of incident AF. The attributable risk of AF in the exposed was 35% (95% CI 13% to 52%) for LAFB, 25% (95% CI 0.6% to 44%) for a prolonged QTC, and 34% (95% CI 26% to 42%) for APCs. In conclusion, in a community-based cohort, 3 previously established electrocardiogram-derived AF predictors were each independently associated with incident AF, suggesting that they may represent distinct mechanisms underlying the disease.
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