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Author Spotlight: Improving Lesion Contiguity in Pulmonary Vein Isolation via Proactive Esophageal Cooling
Published on: April 19, 2024
Correlation of unipolar electrogram modification with ablation index during pulmonary vein isolation: A pilot study
Mohammad Paymard1,2, Marc W Deyell1,2, Zachary W Laksman1,2
1Heart Rhythm services, Division of Cardiology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Radiofrequency catheter ablation for atrial fibrillation can be made safer and more effective. Optimizing ablation index (AI) based on local electrogram signals during pulmonary vein isolation (PVI) allows for reduced energy delivery, potentially minimizing collateral thermal injury.
Area of Science:
- Electrophysiology
- Cardiology
- Medical Devices
Background:
- Pulmonary vein isolation (PVI) via radiofrequency catheter ablation is standard for drug-refractory atrial fibrillation.
- Transmural lesion formation during PVI is indicated by eliminating the negative component of the local unipolar electrogram (UEGM).
- Ablation Index (AI) predicts ablation lesion quality, suggesting combined UEGM and AI could enhance PVI safety and efficiency.
Purpose of the Study:
- To investigate the correlation between UEGM modification characteristics in different left atrial target areas and their associated AI values during PVI.
Main Methods:
- Analysis of 10 patients undergoing PVI using radiofrequency energy.
- Collection of local electrophysiological properties and ablation parameters from 15 designated left atrial areas.
Main Results:
- Six male patients (mean age 66) with 80% paroxysmal AF were studied.
- UEGM modification occurred faster in the posterior wall (8.9s) than the anterior wall (11.1s).
- UEGM modification was achieved at significantly lower AI values than conventional AIs (p < .001).
Conclusions:
- Ablation Index (AI) values derived from local UEGM modification during PVI are shorter than conventionally recommended values.
- Conventionally recommended AIs may be safely reduced, ensuring PVI efficacy and lesion quality.
- This optimized AI approach could potentially decrease the risk of collateral thermal injuries.
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