Predictor of A4-amplitude using preprocedural electrocardiography in patients with leadless pacemakers.

Electrocardiography Leadless pacemaker Maximum deflection index Mechanical atrial sensing P-wave dispersion

Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
19 Feb 2024
Historique:
received: 18 12 2023
revised: 31 01 2024
accepted: 13 02 2024
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 21 2 2024
Statut: aheadofprint

Résumé

Based on the historical studies of leadless pacemakers (LP), high atrio-ventricular synchrony (AVS) with mechanical sensing-based VDD pacing is largely influenced by A4-amplitude. A limited study investigated the predictors of A4-amplitude using clinical and echocardiographic parameters. This study aimed to investigate the predictors of A4-amplitude preoperatively to select patients who could benefit the most from AVS among patients with VDD LPs (Micra-AV, Medtronic). Data from patients who received Micra-AV implantations from November 2021 to August 2023 at Tottori University Hospital were analyzed. Twelve-lead electrocardiography and transthoracic echocardiography were performed before the Micra-AV implantations. To assess the electrical indices associated with the A4-signal, the electrocardiographic morphological P-wave parameters were analyzed including the P-wave duration, P-wave amplitude, maximum deflection index (MDI), and P-wave dispersion. A total of 50 patients who underwent Micra-AV implantations (median age, 84 years; 64% male) were included and divided into two groups based on the median value of A4-amplitude, the high-A4 group (A4-amplitude >2.5m/s Preoperative electrocardiographic evaluations of the P-wave morphology may be useful for predicting A4-amplitude. The MDI was the only independent A4-amplitude predictor that seemed promising for selecting Micra-AV patients.

Sections du résumé

BACKGROUND BACKGROUND
Based on the historical studies of leadless pacemakers (LP), high atrio-ventricular synchrony (AVS) with mechanical sensing-based VDD pacing is largely influenced by A4-amplitude. A limited study investigated the predictors of A4-amplitude using clinical and echocardiographic parameters.
OBJECTIVE OBJECTIVE
This study aimed to investigate the predictors of A4-amplitude preoperatively to select patients who could benefit the most from AVS among patients with VDD LPs (Micra-AV, Medtronic).
METHODS METHODS
Data from patients who received Micra-AV implantations from November 2021 to August 2023 at Tottori University Hospital were analyzed. Twelve-lead electrocardiography and transthoracic echocardiography were performed before the Micra-AV implantations. To assess the electrical indices associated with the A4-signal, the electrocardiographic morphological P-wave parameters were analyzed including the P-wave duration, P-wave amplitude, maximum deflection index (MDI), and P-wave dispersion.
RESULTS RESULTS
A total of 50 patients who underwent Micra-AV implantations (median age, 84 years; 64% male) were included and divided into two groups based on the median value of A4-amplitude, the high-A4 group (A4-amplitude >2.5m/s
CONCLUSION CONCLUSIONS
Preoperative electrocardiographic evaluations of the P-wave morphology may be useful for predicting A4-amplitude. The MDI was the only independent A4-amplitude predictor that seemed promising for selecting Micra-AV patients.

Identifiants

pubmed: 38382683
pii: S1547-5271(24)00205-4
doi: 10.1016/j.hrthm.2024.02.033
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Shunsuke Kawatani (S)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Yasuhito Kotake (Y)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan. Electronic address: Y_kotake0801@tottori-u.ac.jp.

Aiko Takami (A)

Department of Cardiology, Tottori Prefectural Central Hospital, Tottori, Japan.

Kensuke Nakamura (K)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Takuya Tomomori (T)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Akihiro Okamura (A)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Masaru Kato (M)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Kazuhiro Yamamoto (K)

Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan.

Classifications MeSH