Evidence map›Paper›PMID 30401912›Full record

ArticleScientific reports2018

Ectopic beats arise from micro-reentries near infarct regions in simulations of a patient-specific heart model.

Rafael Sachetto Oliveira, Sergio Alonso, Fernando Otaviano Campos, Bernardo Martins Rocha, João Filipe Fernandes, Titus Kuehne, Rodrigo Weber Dos Santos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

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  8. Homogenisation for the monodomain model in the presence of microscopic fibrotic structures.Communications in nonlinear science & numerical simulation · 2023
    Article
  9. Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022
    Article
  10. Article
  11. Review
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  13. CombinedFrontiers in physiology · 2021
    Article
  14. Article
  15. Article
  16. Creation and application of virtual patient cohorts of heart models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  17. Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  18. An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Review
  19. Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  20. Article
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 at 4 institutions in 4 countries.

Rafael Sachetto OliveiraDepartment of Computer Science, Universidade Federal de São João del-Rei, São João del-Rei, Brazil.ORCID http://orcid.org/0000-0003-0800-5984
Sergio AlonsoGraduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
Fernando Otaviano CamposInstitute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany.
Bernardo Martins RochaGraduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
João Filipe FernandesInstitute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany.
Titus KuehneInstitute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany.
Rodrigo Weber Dos SantosGraduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil. rodrigo.weber@ufjf.edu.br.
Universidade Federal de Juiz de Fora · BRCharité - Universitätsmedizin Berlin · DEDeutsches Herzzentrum München · DEKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ectopic beats are known to be involved in the initiation of a variety of cardiac arrhythmias. Although their location may vary, ectopic excitations have been found to originate from infarct areas, regions of micro-fibrosis and other heterogeneous tissues. However, the underlying mechanisms that link ectopic foci to heterogeneous tissues have yet to be fully understood. In this work, we investigate the mechanism of micro-reentry that leads to the generation of ectopic beats near infarct areas using a patient-specific heart model. The patient-specific geometrical model of the heart, including scar and peri-infarct zones, is obtained through magnetic resonance imaging (MRI). The infarct region is composed of ischemic myocytes and non-conducting cells (fibrosis, for instance). Electrophysiology is captured using an established cardiac myocyte model of the human ventricle modified to describe ischemia. The simulation results clearly reveal that ectopic beats emerge from micro-reentries that are sustained by the heterogeneous structure of the infarct regions. Because microscopic information about the heterogeneous structure of the infarct regions is not available, Monte-Carlo simulations are used to identify the probabilities of an infarct region to behave as an ectopic focus for different levels of ischemia and different percentages of non-conducting cells. From the proposed model, it is observed that ectopic beats are generated when a percentage of non-conducting cells is near a topological metric known as the percolation threshold. Although the mechanism for micro-reentries was proposed half a century ago to be a source of ectopic beats or premature ventricular contractions during myocardial infarction, the present study is the first to reproduce this mechanism in-silico using patient-specific data.

Indexed as

Electrophysiological PhenomenaPatient-Specific ModelingAction PotentialsFeasibility StudiesHeartHeart VentriclesHumansMagnetic Resonance ImagingModels, CardiovascularMonte Carlo MethodMyocardial Infarction

Identifiers

PMID30401912
PMCPMC6219578
OpenAlexW2899267457

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.