Evidence map›Paper›PMID 33751088›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 Cardiology2021

Human biventricular electromechanical simulations on the progression of electrocardiographic and mechanical abnormalities in post-myocardial infarction.

Zhinuo J Wang, Alfonso Santiago, Xin Zhou, Lei Wang, Francesca Margara, Francesc Levrero-Florencio, Arka Das, Chris Kelly, Erica Dall'Armellina, Mariano Vazquez and 1 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, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 38 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Zhinuo J WangDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Alfonso SantiagoDepartment of Computer Applications in Science and Engineering, Barcelona Supercomputing Centre (BSC), Barcelona, Spain.
Xin ZhouDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Lei WangDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Francesca MargaraDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Francesc Levrero-FlorencioDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Arka DasDepartment of Biomedical Imaging Sciences, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Chris KellyDepartment of Biomedical Imaging Sciences, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Erica Dall'ArmellinaDepartment of Biomedical Imaging Sciences, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Mariano VazquezDepartment of Computer Applications in Science and Engineering, Barcelona Supercomputing Centre (BSC), Barcelona, Spain.
Blanca RodriguezDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
University of Oxford · GBUniversity of Leeds · GBBarcelona Supercomputing Center · ES

Funding

British Heart Foundation FS/13/71/30378Wellcome Trust 214290
6 · The paper itself

Abstract

aimsDevelop, calibrate and evaluate with clinical data a human electromechanical modelling and simulation framework for multiscale, mechanistic investigations in healthy and post-myocardial infarction (MI) conditions, from ionic to clinical biomarkers. METHODS AND

resultsHuman healthy and post-MI electromechanical simulations were conducted with a novel biventricular model, calibrated and evaluated with experimental and clinical data, including torso/biventricular anatomy from clinical magnetic resonance, state-of-the-art human-based membrane kinetics, excitation-contraction and active tension models, and orthotropic electromechanical coupling. Electromechanical remodelling of the infarct/ischaemic region and the border zone were simulated for ischaemic, acute, and chronic states in a fully transmural anterior infarct and a subendocardial anterior infarct. The results were compared with clinical electrocardiogram and left ventricular ejection fraction (LVEF) data at similar states. Healthy model simulations show LVEF 63%, with 11% peak systolic wall thickening, QRS duration and QT interval of 100 ms and 330 ms. LVEF in ischaemic, acute, and chronic post-MI states were 56%, 51%, and 52%, respectively. In linking the three post-MI simulations, it was apparent that elevated resting potential due to hyperkalaemia in the infarcted region led to ST-segment elevation, while a large repolarization gradient corresponded to T-wave inversion. Mechanically, the chronic stiffening of the infarct region had the benefit of improving systolic function by reducing infarct bulging at the expense of reducing diastolic function by inhibiting inflation.

conclusionOur human-based multiscale modelling and simulation framework enables mechanistic investigations into patho-physiological electrophysiological and mechanical behaviour and can serve as testbed to guide the optimization of pharmacological and electrical therapies.

Indexed as

Myocardial InfarctionVentricular Function, LeftElectrocardiographyHumansStroke VolumeSystoleComputer modellingEjection fractionElectrocardiogramElectromechanical simulationsMyocardial infarction

Identifiers

PMID33751088
PMCPMC7943362
OpenAlexW3134647491

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.