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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Excessive volume of hydrogel injectates may compromise the efficacy for the treatment of acute myocardial infarction
International Journal for Numerical Methods in Biomedical Engineering, Volume 32, No. 12, Article e02772, Year 2016
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Description
Biomaterial injectates are promising as a therapy for myocardial infarction to inhibit the adverse ventricular remodeling. The current study explored interrelated effects of injectate volume and infarct size on treatment efficacy. A finite element model of a rat heart was utilized to represent ischemic infarcts of 10%, 20%, and 38% of left ventricular wall volume and polyethylene glycol hydrogel injectates of 25%, 50%, and 75% of the infarct volume. Ejection fraction was 49.7% in the healthy left ventricle and 44.9%, 46.4%, 47.4%, and 47.3% in the untreated 10% infarct and treated with 25%, 50%, and 75% injectate, respectively. Maximum end-systolic infarct fiber stress was 41.6, 53.4, 44.7, 44.0, and 45.3 kPa in the healthy heart, the untreated 10% infarct, and when treated with the three injectate volumes, respectively. Treating the 10% and 38% infarcts with the 25% injectate volume reduced the maximum end-systolic fiber stress by 16.3% and 34.7% and the associated strain by 30.2% and 9.8%, respectively. The results indicate the existence of a threshold for injectate volume above which efficacy does not further increase but may decrease. The efficacy of an injectate in reducing infarct stress and strain changes with infarct size. Copyright © 2016 John Wiley & Sons, Ltd.
Authors & Co-Authors
Wise, Peter
South Africa, Cape Town
University of Cape Town
Davies, Neil Hamer
South Africa, Cape Town
University of Cape Town
Sirry, M. S.
South Africa, Cape Town
University of Cape Town
Sudan, Al Khurtum
University of Medical Sciences and Technology
Kortsmit, Jeroen
South Africa, Cape Town
University of Cape Town
Dubuis, Laura
South Africa, Cape Town
University of Cape Town
Chai, Chen Ket
Netherlands, Eindhoven
Technische Universiteit Eindhoven
Baaijens, Frank P.T.
Netherlands, Eindhoven
Technische Universiteit Eindhoven
Franz, Thomas
South Africa, Cape Town
University of Cape Town
South Africa, Cape Town
Center for High Performance Computing
Statistics
Citations: 19
Authors: 8
Affiliations: 4
Identifiers
Doi:
10.1002/cnm.2772
ISSN:
20407939
e-ISSN:
20407947