The study of myocardial ischemia-reperfusion treatment through computational modelling

Wan Naimah, Wan Ab Naim and Mohd Jamil Mohamed, Mokhtarudin and Bee, Ting Chan and Einly, Lim and Azam, Ahmad Bakir and Nik Abdullah, Nik Mohamed (2021) The study of myocardial ischemia-reperfusion treatment through computational modelling. Journal of Theoretical Biology, 509 (110527). pp. 1-11. ISSN 0022-5193. (Published)

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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.

Item Type: Article
Uncontrolled Keywords: Myocardial infarction, IschemiaI, schemia-reperfusion, Ischemic injury, Electrophysiology
Subjects: R Medicine > RD Surgery
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: College of Engineering
Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 20 Apr 2022 08:04
Last Modified: 20 Apr 2022 08:04
URI: http://umpir.ump.edu.my/id/eprint/33808
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