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Sci Rep ; 8(1): 16392, 2018 11 06.
Artigo em Inglês | MEDLINE | ID: mdl-30401912

RESUMO

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.


Assuntos
Fenômenos Eletrofisiológicos , Coração/fisiopatologia , Infarto do Miocárdio/fisiopatologia , Modelagem Computacional Específica para o Paciente , Potenciais de Ação , Estudos de Viabilidade , Ventrículos do Coração/fisiopatologia , Humanos , Imageamento por Ressonância Magnética , Modelos Cardiovasculares , Método de Monte Carlo , Infarto do Miocárdio/diagnóstico por imagem
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