Evidence map›Paper›PMID 38288616›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

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

Tijmen Koopsen, Willem Gerrits, Nick van Osta, Tim van Loon, Philippe Wouters, Frits W Prinzen, Kevin Vernooy, Tammo Delhaas, Arco J Teske, Mathias Meine and 2 more

Open access · hybridAbstract read
In one paragraph

Article in 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. The Potential of Digital Twins for Pediatric Rare Diseases.CPT: pharmacometrics & systems pharmacology · 2026
    Review
  5. Review
  6. Review
  7. The Integral Role of Cardiac Imaging in the Electrophysiology Field.The Journal of innovations in cardiac rhythm management · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. An in silico guide for ventriculo-ventricular delay programming for left bundle branch-optimized cardiac resynchronization therapy.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 · 2025
    Article
  12. Numerical accuracy of closed-loop steady state in a zero-dimensional cardiovascular model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  13. Impact of myocardial phenotype on optimal atrioventricular delay settings during biventricular and left bundle branch pacing at rest and during exercise: insights from a virtual patient study.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 · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. From bits to bedside: entering the age of digital twins in cardiac electrophysiology.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 · 2024
    Review
  18. Review
  19. Review
  20. Concepts of Cardiac Dyssynchrony and Dynamic Approach.Diagnostics (Basel, Switzerland) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Tijmen KoopsenDepartment of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.ORCID 0009-0009-2488-0966
Willem GerritsDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.
Nick van OstaDepartment of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.ORCID 0000-0002-8927-9110
Tim van LoonDepartment of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.ORCID 0009-0009-4187-8948
Philippe WoutersDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.ORCID 0000-0002-3406-4083
Frits W PrinzenDepartment of Physiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-8917-9032
Kevin VernooyDepartment of Cardiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-8818-5964
Tammo DelhaasDepartment of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.ORCID 0000-0001-6897-9700
Arco J TeskeDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.ORCID 0000-0001-5305-1619
Mathias MeineDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.ORCID 0000-0002-1102-2155
Maarten J CramerDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands.ORCID 0000-0002-6041-6759
Joost LumensDepartment of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, 6200 MD, The Netherlands.ORCID 0000-0001-8129-7384
Maastricht University · NLUniversity Medical Center Utrecht · NLRadboud University Nijmegen · NL

Funding

Dutch Research Council 016.176.340
6 · The paper itself

Abstract

aimsIdentifying 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. METHODS AND

resultsForty-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).

conclusionOur 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.

Indexed as

Cardiac Resynchronization TherapyHeart FailureCardiac Resynchronization Therapy DevicesEchocardiographyHumansRetrospective StudiesTreatment OutcomeVentricular Function, LeftVentricular RemodelingCircAdaptComputer modelling and simulationIn silico clinical trialLeft bundle branch blockMyocardial workPatient-specific modelling

Identifiers

PMID38288616
PMCPMC10825733
OpenAlexW4391462921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.