Sevince, M, Stamp, S, Ling, Jonathan, Carter, Noel, Talbot, D and Sherin, N (2016) Ex Vivo Perfusion Characteristics of Donation After Cardiac Death Kidneys Predict Long-Term Graft Survival. Transplantation Proceedings, 48 (10). pp. 3251-3260. ISSN 0041-1345

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Abstract

Background. Ex vivo perfusion is used in our unit for kidneys donated after cardiac death (DCD). Perfusion flow index (PFI), resistance, and perfusate glutathione S-transferase (GST) can be measured to assess graft viability. We assessed whether measurements taken
during perfusion could predict long-term outcome after transplantation.
Methods. All DCD kidney transplants performed from 2002 to 2014 were included in this study. The exclusion criteria were: incomplete data, kidneys not machine perfused, kidneys
perfused in continuous mode, and dual transplantation. There were 155 kidney transplantations included in the final analysis. Demographic data, ischemia times, donor hypertension, graft function, survival and machine perfusion parameters after 3 hours were analyzed. Each perfusion parameter was divided into 3 groups as high, medium, and low. Estimated glomerular filtration rate was calculated at 12 months and then yearly after transplantation.
Results. There was a significant association between graft survival and PFI and GST (P values, .020 and .022, respectively). PFI was the only independent parameter to predict graft survival.
Conclusions. A low PFI during ex vivo hypothermic perfusion is associated with inferior graft survival after DCD kidney transplantation. We propose that PFI is a measure of the
health of the graft vasculature and that a low PFI indicates vascular disease and therefore predicts a worse long-term outcome.

Item Type:	Article
Subjects:	Sciences > Biomedical Sciences
Divisions:	Faculty of Health Sciences and Wellbeing Faculty of Health Sciences and Wellbeing > FHSW Executive Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences Faculty of Health Sciences and Wellbeing > School of Pharmacy and Pharmaceutical Sciences
Depositing User:	Jonathan Ling
Date Deposited:	24 Jan 2017 08:42
Last Modified:	30 Sep 2020 10:48
URI:	http://sure.sunderland.ac.uk/id/eprint/6892

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