The study of myocardial ischemia-reperfusion treatment through computational modelling
Document Type
Article
Publication Date
1-1-2021
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. © 2020 Elsevier Ltd
Keywords
Myocardial infarction, Ischemia, Ischemia-reperfusion, Ischemic injury, Electrophysiology
Publication Title
Journal of Theoretical Biology
Recommended Citation
Wan Ab Naim, Wan Naimah; Mohamed Mokhtarudin, Mohd Jamil; Chan, Bee Ting; Lim, Einly; Ahmad Bakir, Azam; and Nik Mohamed, Nik Abdullah, "The study of myocardial ischemia-reperfusion treatment through computational modelling" (2021). Research Publications (2021 to 2025). 10867.
https://knova.um.edu.my/research_publications_2021_2025/10867
Divisions
fac_eng
Funders
Fundamental Research Grant Scheme with code FRGS/1/2017/TK05/UMP/01/1(RDU 170131),Universiti Malaysia Pahang Internal Research Grant (RDU1903121),Universiti Malaysia Pahang (UMP) Post-Doctoral Fellowship in Research
Volume
509
Publisher
Elsevier