Evidence map›Paper›PMID 40195045›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 Cardiology2025

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.

Claudia A Manetti, Nick van Osta, Ahmed S Beela, Lieven Herbots, Frits W Prinzen, Tammo Delhaas, Joost Lumens

Abstract 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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Claudia A ManettiDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Universiteitssingel 40, 6229 ERMaastricht, The Netherlands.ORCID 0009-0008-3763-2972
Nick van OstaDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Universiteitssingel 40, 6229 ERMaastricht, The Netherlands.ORCID 0000-0002-8927-9110
Ahmed S BeelaDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Universiteitssingel 40, 6229 ERMaastricht, The Netherlands.ORCID 0000-0003-0517-7000
Lieven HerbotsDepartment of Cardiology, Hartcentrum Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0001-7784-3610
Frits W PrinzenDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-8917-9032
Tammo DelhaasDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Universiteitssingel 40, 6229 ERMaastricht, The Netherlands.ORCID 0000-0001-6897-9700
Joost LumensDepartment of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Universiteitssingel 40, 6229 ERMaastricht, The Netherlands.ORCID 0000-0001-8129-7384

Funding

European Union's Horizon 2020 Research and Innovation ProgramMarie Skłodowska-Curie 860745
6 · The paper itself

Abstract

aimsPrevious studies have not examined the role of non-electrical myocardial disease substrates in determining the optimal atrio-ventricular delay (AVD) settings. We conducted virtual patient simulations to evaluate whether myocardial disease substrates influence the acute response to AVD optimization at rest and during exercise. METHODS AND

resultsThe CircAdapt cardiovascular model was used to simulate various left ventricular (LV) remodelling found in cardiac resynchronization therapy candidates. We simulated electrical dyssynchrony, LV dilatation with preserved and reduced contractility, and increased LV passive stiffness. We simulated cardiac resynchronization following biventricular (BiVP) and non-selective LBB pacing (nsLBBP). The paced-AVD ranged from 220 to 40 ms. Cardiac output and heart rate were increased to simulate different levels of exercise. The optimal AVD was the one leading to the highest stroke volume (SV) and the lowest mean left atrial pressure (mLAP). At rest, in simulations with healthy myocardium the gain in SV by AVD optimization was larger compared to those with reduced contractility and stiff myocardium. However, mLAP was comparably decreased by AVD optimization in both healthy and diseased myocardium. During exercise, the optimal AVD shifted to shorter values, and mLAP was more sensitive to AVD, particularly in the presence of hypo-contractile and stiff myocardium.

conclusionSimulations show that hypocontractility and stiffness reduce the effect of AVD optimization on SV but enhance its benefit in lowering mLAP. Notably, virtual patients with stiff ventricles experience greater benefits from AVD optimization during exercise compared to resting conditions. Furthermore, nsLBBP provides more favourable improvements in mLAP than BiVP.

Indexed as

Bundle-Branch BlockCardiac Resynchronization TherapyExerciseModels, CardiovascularPatient-Specific ModelingVentricular Function, LeftVentricular RemodelingComputer SimulationHeart RateHumansMyocardial ContractionPhenotypeRestStroke VolumeTime FactorsAtrio-ventricular delay optimizationCircAdaptComputational modelling and simulationIn silico trialStiffness

Identifiers

PMID40195045
PMCPMC12035189

What Socratic 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 Socratic graph.