Back to Search Start Over

The study of myocardial ischemia-reperfusion treatment through computational modelling.

Authors :
Wan Ab Naim WN
Mohamed Mokhtarudin MJ
Chan BT
Lim E
Ahmad Bakir A
Nik Mohamed NA
Source :
Journal of theoretical biology [J Theor Biol] 2021 Jan 21; Vol. 509, pp. 110527. Date of Electronic Publication: 2020 Oct 20.
Publication Year :
2021

Abstract

Reperfusion of the blood flow to ischemic myocardium is the standard treatment for patients suffering myocardial infarction. However, the reperfusion itself can also induce myocardial injury, in which the actual mechanism and its risk factors remain unclear. This work aims to study the mechanism of ischemia-reperfusion treatment using a three-dimensional (3D) oxygen diffusion model. An electrical model is then coupled to an oxygen model to identify the possible region of myocardial damage. Our findings show that the value of oxygen exceeds its optimum (>1.0) at the ischemic area during early reperfusion period. This complication was exacerbated in a longer ischemic period. While a longer reperfusion time causes a continuous excessive oxygen supply to the ischemic area throughout the reperfusion time. This work also suggests the use of less than 0.8 of initial oxygen concentration in the reperfusion treatment to prevent undesired upsurge at the early reperfusion period and further myocardial injury. We also found the region at risk for myocardial injury is confined in the ischemic vicinity revealed by its electrical conductivity impairment. Although there is a risk that reperfusion leads to myocardial injury for excessive oxygen accumulation, the reperfusion treatment is helpful in reducing the infarct size.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1095-8541
Volume :
509
Database :
MEDLINE
Journal :
Journal of theoretical biology
Publication Type :
Academic Journal
Accession number :
33096094
Full Text :
https://doi.org/10.1016/j.jtbi.2020.110527