Logo image
Comparison of electrogram characteristics in persistent atrial fibrillation
Journal article   Open access   Peer reviewed

Comparison of electrogram characteristics in persistent atrial fibrillation

Jeffrey J Goldberger, Ghaith Zaatari, Raul D Mitrani, Catherine Blandon, Jorge Bohorquez, Jason Ng, Justin Ng, Alex Velasquez, Litsa Lambrakos and Rishi Arora
Journal of cardiovascular electrophysiology
2023-11-29

Abstract

INTRODUCTIONMultiple analysis techniques evaluate electrograms during atrial fibrillation (AF), but none have been established to guide catheter ablation. This study compares electrogram properties recorded from multiple right (RA) and left atrial (LA) sites.METHODSMultisite LA/RA mapping (281 ± 176/239 ± 166 sites/patient) was performed in 42 patients (30 males, age 63 ± 9 years) undergoing first (n = 32) or redo-AF ablation (n = 10). All electrogram recordings were visually reviewed and artifactual signals were excluded leaving a total of 21 846 for analysis. Electrogram characteristics evaluated were cycle length (CL), amplitude, Shannon's entropy (ShEn), fractionation interval, dominant frequency, organizational index, and cycle length of most recurrent morphology (CLR ) from morphology recurrence plot analysis.RESULTSElectrogram characteristics were correlated to each other. All pairwise comparisons were significant (p < .001) except for dominant frequency and CLR (p = .59), and amplitude and dominant frequency (p = .38). Only ShEn and fractionation interval demonstrated a strong negative correlation (r = -.94). All other pairwise comparisons were poor to moderately correlated. The relationships are highly conserved among patients, in the RA versus LA, and in those undergoing initial versus redo ablations. Antiarrhythmic drug therapy did not have a significant effect on electrogram characteristics, except minimum ShEn. Electrogram characteristics associated with ablation outcome were shorter minimum CLR , lower minimum ShEn, and longer mimimum CL. There was minimal overlap between the top 10 sites identified by one electrogram characteristic and the top 10 sites identified by the other 10 characteristics.CONCLUSIONMultiple techniques can be employed for electrogram analysis in AF. In this analysis of eight different electrogram characteristics, seven were poorly to moderately correlated and do not identify similar locations. Only some characteristics were predictive of ablation outcome. Further studies to consider electrogram properties, perhaps in combination, for categorizing and/or mapping AF are warranted.
pdf
Comparison of electrogram characteristics in persistent atrial fibrillation2.00 MBDownloadView
Open Access
url
https://doi.org/10.1111/jce.16133View
Published (Version of record) Open

Metrics

6 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.94 Cardiac Arrhythmia
1.94.95 Atrial Fibrillation Management
Web Of Science research areas
Cardiac & Cardiovascular Systems
ESI research areas
Clinical Medicine

Details

Logo image