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Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation

BACKGROUND: Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery...

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Autores principales: Qiao, Yuxi, Ding, Chenguang, Li, Yang, Tian, Xiaohui, Tian, Puxun, Ding, Xiaoming, Xiang, Heli, Zheng, Jin, Xue, Wujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769098/
https://www.ncbi.nlm.nih.gov/pubmed/34924501
http://dx.doi.org/10.1097/CM9.0000000000001867
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author Qiao, Yuxi
Ding, Chenguang
Li, Yang
Tian, Xiaohui
Tian, Puxun
Ding, Xiaoming
Xiang, Heli
Zheng, Jin
Xue, Wujun
author_facet Qiao, Yuxi
Ding, Chenguang
Li, Yang
Tian, Xiaohui
Tian, Puxun
Ding, Xiaoming
Xiang, Heli
Zheng, Jin
Xue, Wujun
author_sort Qiao, Yuxi
collection PubMed
description BACKGROUND: Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation. METHODS: HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi’an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis. RESULTS: In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145–3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23–2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735–0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842–0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693–0.818) or GST alone (AUC = 0.729, 95% CI 0.591–0.806). CONCLUSION: According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
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spelling pubmed-87690982022-01-20 Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation Qiao, Yuxi Ding, Chenguang Li, Yang Tian, Xiaohui Tian, Puxun Ding, Xiaoming Xiang, Heli Zheng, Jin Xue, Wujun Chin Med J (Engl) Original Articles BACKGROUND: Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation. METHODS: HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi’an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis. RESULTS: In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145–3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23–2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735–0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842–0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693–0.818) or GST alone (AUC = 0.729, 95% CI 0.591–0.806). CONCLUSION: According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value. Lippincott Williams & Wilkins 2022-01-20 2021-12-16 /pmc/articles/PMC8769098/ /pubmed/34924501 http://dx.doi.org/10.1097/CM9.0000000000001867 Text en Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles
Qiao, Yuxi
Ding, Chenguang
Li, Yang
Tian, Xiaohui
Tian, Puxun
Ding, Xiaoming
Xiang, Heli
Zheng, Jin
Xue, Wujun
Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title_full Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title_fullStr Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title_full_unstemmed Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title_short Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
title_sort predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769098/
https://www.ncbi.nlm.nih.gov/pubmed/34924501
http://dx.doi.org/10.1097/CM9.0000000000001867
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