Virtual pacing of a patient's digital twin to predict left ventricular reverse remodelling after cardiac resynchronization therapy.

In silico clinical trial CircAdapt Computer modelling and simulation Left bundle branch block Myocardial work Patient-specific modelling

Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
ISSN: 1532-2092
Titre abrégé: Europace
Pays: England
ID NLM: 100883649

Informations de publication

Date de publication:
28 Dec 2023
Historique:
received: 26 10 2023
accepted: 09 01 2024
medline: 30 1 2024
pubmed: 30 1 2024
entrez: 30 1 2024
Statut: ppublish

Résumé

Identifying heart failure (HF) patients who will benefit from cardiac resynchronization therapy (CRT) remains challenging. We evaluated whether virtual pacing in a digital twin (DT) of the patient's heart could be used to predict the degree of left ventricular (LV) reverse remodelling post-CRT. Forty-five HF patients with wide QRS complex (≥130 ms) and reduced LV ejection fraction (≤35%) receiving CRT were retrospectively enrolled. Echocardiography was performed before (baseline) and 6 months after CRT implantation to obtain LV volumes and 18-segment longitudinal strain. A previously developed algorithm was used to generate 45 DTs by personalizing the CircAdapt model to each patient's baseline measurements. From each DT, baseline septal-to-lateral myocardial work difference (MWLW-S,DT) and maximum rate of LV systolic pressure rise (dP/dtmax,DT) were derived. Biventricular pacing was then simulated using patient-specific atrioventricular delay and lead location. Virtual pacing-induced changes ΔMWLW-S,DT and ΔdP/dtmax,DT were correlated with real-world LV end-systolic volume change at 6-month follow-up (ΔLVESV). The DT's baseline MWLW-S,DT and virtual pacing-induced ΔMWLW-S,DT were both significantly associated with the real patient's reverse remodelling ΔLVESV (r = -0.60, P < 0.001 and r = 0.62, P < 0.001, respectively), while correlation between ΔdP/dtmax,DT and ΔLVESV was considerably weaker (r = -0.34, P = 0.02). Our results suggest that the reduction of septal-to-lateral work imbalance by virtual pacing in the DT can predict real-world post-CRT LV reverse remodelling. This DT approach could prove to be an additional tool in selecting HF patients for CRT and has the potential to provide valuable insights in optimization of CRT delivery.

Identifiants

pubmed: 38288616
pii: 7590975
doi: 10.1093/europace/euae009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Dutch Research Council
ID : 016.176.340
Pays : Netherlands

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Déclaration de conflit d'intérêts

Conflict of interest: The authors of this manuscript report the following competing interests: K.V. has been a consultant for Medtronic, Abbott, Boston Scientific, Philips, and Biosense Webster (fees paid to institute) and has received research/educational grants from Medtronic, Abbott, and Biosense Webster (grants paid to institute); J.L. has received research grants from Medtronic and speaker fees from Abbott. Others have nothing to declare.

Auteurs

Tijmen Koopsen (T)

Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.

Willem Gerrits (W)

Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.

Nick van Osta (N)

Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.

Tim van Loon (T)

Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.

Philippe Wouters (P)

Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.

Frits W Prinzen (FW)

Department of Physiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.

Kevin Vernooy (K)

Department of Cardiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
Department of Cardiology, Maastricht University Medical Center (MUMC), Maastricht, The Netherlands.
Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.

Tammo Delhaas (T)

Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.

Arco J Teske (AJ)

Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.

Mathias Meine (M)

Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.

Maarten J Cramer (MJ)

Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.

Joost Lumens (J)

Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.

Classifications MeSH