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Ablation Index‐guided point‐by‐point ablation versus Grid annotation‐guided dragging for pulmonary vein isolation: A randomized controlled trial.
- Source :
- Journal of Cardiovascular Electrophysiology; Jan2022, Vol. 33 Issue 1, p64-72, 9p, 1 Diagram, 2 Charts, 3 Graphs
- Publication Year :
- 2022
-
Abstract
- Introduction: Radiofrequency (RF) atrial fibrillation (AF) ablation using a catheter dragging technique may shorten procedural duration and improve durability of pulmonary vein isolation (PVI) by creating uninterrupted linear ablation lesions. We compared a novel AF ablation approach guided by Grid annotation allowing for "drag lesions" with a standard point‐by‐point ablation approach in a single‐center randomized study. Methods: Eighty‐eight paroxysmal or persistent AF patients were randomized 1:1 to undergo RF‐PVI with either a catheter dragging ablation technique guided by Grid annotation or point‐by‐point ablation guided by Ablation Index (AI) annotation. In the Grid annotation arm, ablation was visualized using 1 mm³ grid points coloring red after meeting predefined stability and contact force criteria. In the AI annotation arm, ablation lesions were created in a point‐by‐point fashion with AI target values set at 380 and 500 for posterior/inferior and anterior/roof segments, respectively. Patients were followed up for 12 months after PVI using ECGs, 24‐h Holter monitoring and a mobile‐based one‐lead ECG device. Results: Procedure time was not different between the two randomization arms (Grid annotation 71 ± 19 min, AI annotation 72 ± 26 min, p =.765). RF time was significantly longer in the Grid annotation arm compared with the AI annotation arm (49 ± 8 min vs. 37 ± 8 min, respectively, p <.001). Atrial tachyarrhythmia recurrence was documented in 10 patients (23%) in the Grid annotation arm compared with 19 patients (42%) in the AI annotation arm with time to recurrence not reaching statistical significance (p =.074). Conclusions: This study shows that a Grid annotation‐guided dragging approach provides an alternative to point‐by‐point RF‐PVI using AI annotation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10453873
- Volume :
- 33
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Cardiovascular Electrophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 154565652
- Full Text :
- https://doi.org/10.1111/jce.15294