Leadless biventricular left bundle and endocardial lateral wall pacing versus left bundle only pacing in left bundle branch block patients.

cardiac resynchronization therapy conduction system pacing dyssynchrony endocardial pacing leadless pacing left bundle branch block left bundle pacing

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2022
Historique:
received: 20 09 2022
accepted: 28 11 2022
entrez: 2 1 2023
pubmed: 3 1 2023
medline: 3 1 2023
Statut: epublish

Résumé

Biventricular endocardial (BIV-endo) pacing and left bundle pacing (LBP) are novel delivery methods for cardiac resynchronization therapy (CRT). Both pacing methods can be delivered through leadless pacing, to avoid risks associated with endocardial or transvenous leads. We used computational modelling to quantify synchrony induced by BIV-endo pacing and LBP through a leadless pacing system, and to investigate how the right-left ventricle (RV-LV) delay, RV lead location and type of left bundle capture affect response. We simulated ventricular activation on twenty-four four-chamber heart meshes inclusive of His-Purkinje networks with left bundle branch block (LBBB). Leadless biventricular (BIV) pacing was simulated by adding an RV apical stimulus and an LV lateral wall stimulus (BIV-endo lateral) or targeting the left bundle (BIV-LBP), with an RV-LV delay set to 5 ms. To test effect of prolonged RV-LV delays and RV pacing location, the RV-LV delay was increased to 35 ms and/or the RV stimulus was moved to the RV septum. BIV-endo lateral pacing was less sensitive to increased RV-LV delays, while RV septal pacing worsened response compared to RV apical pacing, especially for long RV-LV delays. To investigate how left bundle capture affects response, we computed 90% BIV activation times (BIVAT-90) during BIV-LBP with selective and non-selective capture, and left bundle branch area pacing (LBBAP), simulated by pacing 1 cm below the left bundle. Non-selective LBP was comparable to selective LBP. LBBAP was worse than selective LBP (BIVAT-90: 54.2 ± 5.7 ms vs. 62.7 ± 6.5,

Identifiants

pubmed: 36589454
doi: 10.3389/fphys.2022.1049214
pii: 1049214
pmc: PMC9794756
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1049214

Informations de copyright

Copyright © 2022 Strocchi, Wijesuriya, Elliott, Gillette, Neic, Mehta, Vigmond, Plank, Rinaldi and Niederer.

Déclaration de conflit d'intérêts

AN is employed by NumeriCor GmbH, Graz, Austria. The remaining authors declare that the research was conducted in the absence of any commercial of financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Marina Strocchi (M)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Nadeev Wijesuriya (N)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Mark K Elliott (MK)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Karli Gillette (K)

BioTechMed-Graz, Graz, Austria.
Gottfried Schatz Research Center, Medical University of Graz, Graz, Austria.

Aurel Neic (A)

NumeriCor GmbH, Graz, Austria.

Vishal Mehta (V)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Edward J Vigmond (EJ)

University of Bordeaux, CNRS, Bordeaux, France.
IHU Liryc, Bordeaux, France.

Gernot Plank (G)

BioTechMed-Graz, Graz, Austria.
Gottfried Schatz Research Center, Medical University of Graz, Graz, Austria.

Christopher A Rinaldi (CA)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Steven A Niederer (SA)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Classifications MeSH