Association of beat-to-beat P-wave analysis index to the extent of left atrial low-voltage areas in patients with paroxysmal atrial fibrillation.

beat-to-beat variation fibrosis left atrium low-voltage areas paroxysmal atrial fibrillation wavelet

Journal

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
ISSN: 2241-5955
Titre abrégé: Hellenic J Cardiol
Pays: Netherlands
ID NLM: 101257381

Informations de publication

Date de publication:
20 May 2024
Historique:
received: 08 10 2023
revised: 16 04 2024
accepted: 11 05 2024
medline: 23 5 2024
pubmed: 23 5 2024
entrez: 22 5 2024
Statut: aheadofprint

Résumé

Left atrial (LA) fibrosis has been shown to be associated with atrial fibrillation (AF) recurrence. Beat-to-beat (B2B) index is a non-invasive classifier, based on B2B P-wave morphological and wavelet analysis, shown to be associated with AF incidence and recurrence. In this study, we tested the hypothesis that the B2B index is associated with the extent of LA low-voltage areas (LVAs) on electroanatomical mapping. Patients with paroxysmal AF scheduled for pulmonary vein isolation, without evident structural remodeling, were included. Pre-ablation electroanatomical voltage maps were used to calculate the surface of LVAs (<0.5 mV). B2B index was compared between patients with small versus large LVAs. 35 patients were included (87% male, median age 62). The median surface area of LVAs was 7.7 (4.4-15.8) cm In patients with paroxysmal AF without overt atrial myopathy, B2B P-wave analysis appears to be a useful non-invasive correlate of low-voltage areas-and thus fibrosis-in the LA. This finding establishes a pathophysiological basis for B2B index and its potential usefulness in the selection process of patients who are likely to benefit most from further invasive treatment.

Sections du résumé

BACKGROUND BACKGROUND
Left atrial (LA) fibrosis has been shown to be associated with atrial fibrillation (AF) recurrence. Beat-to-beat (B2B) index is a non-invasive classifier, based on B2B P-wave morphological and wavelet analysis, shown to be associated with AF incidence and recurrence. In this study, we tested the hypothesis that the B2B index is associated with the extent of LA low-voltage areas (LVAs) on electroanatomical mapping.
METHODS METHODS
Patients with paroxysmal AF scheduled for pulmonary vein isolation, without evident structural remodeling, were included. Pre-ablation electroanatomical voltage maps were used to calculate the surface of LVAs (<0.5 mV). B2B index was compared between patients with small versus large LVAs.
RESULTS RESULTS
35 patients were included (87% male, median age 62). The median surface area of LVAs was 7.7 (4.4-15.8) cm
CONCLUSION CONCLUSIONS
In patients with paroxysmal AF without overt atrial myopathy, B2B P-wave analysis appears to be a useful non-invasive correlate of low-voltage areas-and thus fibrosis-in the LA. This finding establishes a pathophysiological basis for B2B index and its potential usefulness in the selection process of patients who are likely to benefit most from further invasive treatment.

Identifiants

pubmed: 38777086
pii: S1109-9666(24)00115-5
doi: 10.1016/j.hjc.2024.05.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Hellenic Society of Cardiology. Published by Elsevier Inc. All rights reserved.

Auteurs

Antigoni Sakellaropoulou (A)

Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece. Electronic address: antigonisak@outlook.com.gr.

Georgios Giannopoulos (G)

Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Dimitrios Tachmatzidis (D)

Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Konstantinos P Letsas (KP)

Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece.

Antonios Antoniadis (A)

Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Dimitrios Asvestas (D)

Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece.

Dimitrios Filos (D)

Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Panagiotis Mililis (P)

Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece.

Michael Efremidis (M)

Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece.

Ioanna Chouvarda (I)

Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Vassilios P Vassilikos (VP)

Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Classifications MeSH