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Ectopic Beats Arise from Micro-reentries Near Infarct Regions in Simulations of a Patient-specific Heart Model

Overview
Journal Sci Rep
Specialty Science
Date 2018 Nov 8
PMID 30401912
Citations 19
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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.

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References
1.
Koutalas E, Rolf S, Dinov B, Richter S, Arya A, Bollmann A . Contemporary Mapping Techniques of Complex Cardiac Arrhythmias - Identifying and Modifying the Arrhythmogenic Substrate. Arrhythm Electrophysiol Rev. 2016; 4(1):19-27. PMC: 4711490. DOI: 10.15420/aer.2015.4.1.19. View

2.
Cherry E, Ehrlich J, Nattel S, Fenton F . Pulmonary vein reentry--properties and size matter: insights from a computational analysis. Heart Rhythm. 2007; 4(12):1553-62. DOI: 10.1016/j.hrthm.2007.08.017. View

3.
Zimik S, Nayak A, Pandit R . A Computational Study of the Factors Influencing the PVC-Triggering Ability of a Cluster of Early Afterdepolarization-Capable Myocytes. PLoS One. 2015; 10(12):e0144979. PMC: 4682961. DOI: 10.1371/journal.pone.0144979. View

4.
Shi H, Zhang X, He Z, Wu Z, Rao L, Li Y . Metabolites of Hypoxic Cardiomyocytes Induce the Migration of Cardiac Fibroblasts. Cell Physiol Biochem. 2017; 41(1):413-421. DOI: 10.1159/000456531. View

5.
Graham A, Orini M, Lambiase P . Limitations and Challenges in Mapping Ventricular Tachycardia: New Technologies and Future Directions. Arrhythm Electrophysiol Rev. 2017; 6(3):118-124. PMC: 5610733. DOI: 10.15420/aer.2017.20.1. View