Leadless biventricular left bundle and endocardial lateral wall pacing versus left bundle only pacing in left bundle branch block patients
Open accessAbstract
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, p < 0.01), but it still significantly reduced activation times from baseline. Finally, we compared leadless LBP with RV pacing against optimal LBP delivery through a standard lead system by simulating BIV-LBP and selective LBP alone with and without optimized atrioventricular delay (AVD). Although LBP alone with optimized AVD was better than BIV-LBP, when AVD optimization was not possible BIV-LBP outperformed LBP alone, because the RV pacing stimulus shortened RV activation (BIVAT-90: 54.2 ± 5.7 ms vs. 66.9 ± 5.1 ms, p < 0.01). BIV-endo lateral pacing or LBP delivered through a leadless system could potentially become an alternative to standard CRT. RV-LV delay, RV lead location and type of left bundle capture affect leadless pacing efficacy and should be considered in future trial designs.
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In these studies, both subject-specific and synthetic cohorts were created.
“In these studies, both subject-specific and synthetic cohorts were created.”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [43]
Methods (Electrophysiology simulations; page unavailable) describes 24 heart geometries derived from patients, but says they were published in an earlier study rather than created here. The same section describes generating a His-Purkinje network for each geometry, and Discussion (Limitations; page unavailable) calls those networks synthetic. The paper therefore supports patient-derived models with synthetic components, not the creation of separate subject-specific and synthetic cohorts. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSynthetic patients were created from the subject-specific virtual patients by introducing different presentations of electrophysiology pathologies in each patient.
“Synthetic patients were then created from the subject-specific virtual patients, by introducing different presentations of electrophysiology pathologies in each patient (case B in Fig 1).”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [43]
These models were used in [41-43] to study the efficacy of different cardiac resynchronization therapy pacing protocols for heart failure patients with left bundle branch block.
“These models were used in [41–43] to study the efficacy of different cardiac resynchronization therapy (CRT) pacing protocols for heart failure patients with left bundle branch block (LBBB).”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [43]
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Modeling of the cardiac conduction system
Vigmond, E. J. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-24142-0.00006-0
- Authors
- Strocchi, M., Wijesuriya, N., Elliott, M. K., Gillette, K., Neic, A., Mehta, V., Vigmond, E. J., Plank, G., Rinaldi, C. A., & Niederer, S. A.
- Affiliations
- King's College London (GB)
- Medical University of Graz (AT)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Strocchi, Marina
- ORCID
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2022-12-14
- Volume
- 13
- Pages
- 1049214-1049214
- ISSN
- 1664-042X (ISSN-L)
- PMC
- PMC9794756
- OpenAlex
- W4311329351
- Cited by
- 8
- References
- 37
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Physiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (WT 203148/Z/16/Z EP/P01268X/1)
- Wellcome (WT 203148/Z/16/Z)
- National Institutes of Health (R01-HL152256)
- European Research Council (864055)
- British Heart Foundation (RG/20/4/34803)
- Agence Nationale de la Recherche (ANR-10-IAHU-04)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
- Keywords
- left bundle branch block, leadless pacing, cardiac resynchronization therapy, ventricular synchrony, atrioventricular delay optimization, computational cardiac modeling, ventricular activation time, pacing site selection, atrial fibrillation
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