Evidence map›Paper›PMID 38646743›Full record

ArticleCardiovascular research2024

Mechanisms of ischaemia-induced arrhythmias in hypertrophic cardiomyopathy: a large-scale computational study.

James A Coleman, Ruben Doste, Zakariye Ashkir, Raffaele Coppini, Rafael Sachetto, Hugh Watkins, Betty Raman, Alfonso Bueno-Orovio

Open access · hybridAbstract read
In one paragraph

Article in Cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Storytelling of Hypertrophic Cardiomyopathy Discovery.Journal of cardiovascular development and disease · 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

8 authors at 4 institutions in 3 countries.

James A ColemanDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID 0000-0002-7695-2046
Ruben DosteDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID 0000-0003-4187-4970
Zakariye AshkirOxford Centre for Clinical Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-4260-7420
Raffaele CoppiniDepartment of NeuroFarBa, University of Florence, Florence, Italy.ORCID 0000-0002-4096-3173
Rafael SachettoDepartment of Computer Science, Federal University of São João del-Rei, São João del-Rei, Minas Gerais, Brazil.
Hugh WatkinsRadcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-5287-9016
Betty RamanOxford Centre for Clinical Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-1239-9608
Alfonso Bueno-OrovioDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID 0000-0002-1634-3601
John Radcliffe Hospital · GBUniversity of Oxford · GBFederal University of São João del-Rei · BRUniversity of Florence · IT

Funding

British Heart Foundation FS/CRTF/21/24144Swiss National Supercomputing Centre, Switzerland icp005UK Engineering and Physical Sciences Research Council 2421745University of Oxford Advanced Research Computing
6 · The paper itself

Abstract

aimsLethal arrhythmias in hypertrophic cardiomyopathy (HCM) are widely attributed to myocardial ischaemia and fibrosis. How these factors modulate arrhythmic risk remains largely unknown, especially as invasive mapping protocols are not routinely used in these patients. By leveraging multiscale digital twin technologies, we aim to investigate ischaemic mechanisms of increased arrhythmic risk in HCM. METHODS AND

resultsComputational models of human HCM cardiomyocytes, tissue, and ventricles were used to simulate outcomes of Phase 1A acute myocardial ischaemia. Cellular response predictions were validated with patch-clamp studies of human HCM cardiomyocytes (n = 12 cells, N = 5 patients). Ventricular simulations were informed by typical distributions of subendocardial/transmural ischaemia as analysed in perfusion scans (N = 28 patients). S1-S2 pacing protocols were used to quantify arrhythmic risk for scenarios in which regions of septal obstructive hypertrophy were affected by (i) ischaemia, (ii) ischaemia and impaired repolarization, and (iii) ischaemia, impaired repolarization, and diffuse fibrosis. HCM cardiomyocytes exhibited enhanced action potential and abnormal effective refractory period shortening to ischaemic insults. Analysis of ∼75 000 re-entry induction cases revealed that the abnormal HCM cellular response enabled establishment of arrhythmia at milder ischaemia than otherwise possible in healthy myocardium, due to larger refractoriness gradients that promoted conduction block. Arrhythmias were more easily sustained in transmural than subendocardial ischaemia. Mechanisms of ischaemia-fibrosis interaction were strongly electrophysiology dependent. Fibrosis enabled asymmetric re-entry patterns and break-up into sustained ventricular tachycardia.

conclusionHCM ventricles exhibited an increased risk to non-sustained and sustained re-entry, largely dominated by an impaired cellular response and deleterious interactions with the diffuse fibrotic substrate.

Indexed as

Action PotentialsArrhythmias, CardiacCardiomyopathy, HypertrophicFibrosisModels, CardiovascularMyocardial IschemiaMyocytes, CardiacCardiac Pacing, ArtificialComputer SimulationFemaleHeart RateHumansMaleMiddle AgedRefractory Period, ElectrophysiologicalRisk AssessmentArrhythmic riskHypertrophic cardiomyopathyIschaemiaModelling and simulation

Identifiers

PMID38646743
PMCPMC11218689
OpenAlexW4395004261

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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.