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A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China
BACKGROUND: Kidneys obtained from deceased donors increase the incidence of delayed graft function (DGF) after renal transplantation. Here we investigated the influence of the risk factors of donors with DGF, and developed a donor risk scoring system for DGF prediction. METHODS: This retrospective s...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971200/ https://www.ncbi.nlm.nih.gov/pubmed/33719820 http://dx.doi.org/10.1080/0886022X.2021.1895838 |
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author | Xue, Wujun Wang, Changxi Chen, Jianghua Sun, Xuyong Wu, Xiaotong Peng, Longkai Chen, Zhishui Qu, Qingshan Zhang, Xiaodong Fu, Yaowen Dong, Zhen Chen, Zheng Feng, Guiwen Lin, Tao Men, Tongyi Yu, Lixin Sun, Qiquan Zhao, Yongheng Zhou, Jiangqiao Zeng, Li Zhao, Ming Tan, Jianming Ye, Qifa Shi, Bingyi Ming, Yingzi Zhu, Tongyu Sui, Weiguo Huang, Chibing Fu, Yingxin |
author_facet | Xue, Wujun Wang, Changxi Chen, Jianghua Sun, Xuyong Wu, Xiaotong Peng, Longkai Chen, Zhishui Qu, Qingshan Zhang, Xiaodong Fu, Yaowen Dong, Zhen Chen, Zheng Feng, Guiwen Lin, Tao Men, Tongyi Yu, Lixin Sun, Qiquan Zhao, Yongheng Zhou, Jiangqiao Zeng, Li Zhao, Ming Tan, Jianming Ye, Qifa Shi, Bingyi Ming, Yingzi Zhu, Tongyu Sui, Weiguo Huang, Chibing Fu, Yingxin |
author_sort | Xue, Wujun |
collection | PubMed |
description | BACKGROUND: Kidneys obtained from deceased donors increase the incidence of delayed graft function (DGF) after renal transplantation. Here we investigated the influence of the risk factors of donors with DGF, and developed a donor risk scoring system for DGF prediction. METHODS: This retrospective study was conducted in 1807 deceased kidney donors and 3599 recipients who received donor kidneys via transplants in 29 centers in China. We quantified DGF associations with donor clinical characteristics. A donor risk scoring system was developed and validated using an independent sample set. RESULTS: The incidence of DGF from donors was 19.0%. Six of the donor characteristics analyzed, i.e., age, cause of death, history of hypertension, terminal serum creatinine, persistence of hypotension, and cardiopulmonary resuscitation (CPR) time were risk factors for DGF. A 49-point scoring system of donor risk was established for DGF prediction and exhibited a superior degree of discrimination. External validation of DGF prediction revealed area under the receiver-operating characteristic (AUC) curves of 0.7552. CONCLUSIONS: Our study determined the deceased donor risk factors related to DGF after renal transplantation pertinent to the Chinese cohort. The scoring system developed here had superior diagnostic significance and consistency and can be used by clinicians to make evidence-based decisions on the quality of kidneys from deceased donors and guide renal transplantation therapy. |
format | Online Article Text |
id | pubmed-7971200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-79712002021-03-31 A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China Xue, Wujun Wang, Changxi Chen, Jianghua Sun, Xuyong Wu, Xiaotong Peng, Longkai Chen, Zhishui Qu, Qingshan Zhang, Xiaodong Fu, Yaowen Dong, Zhen Chen, Zheng Feng, Guiwen Lin, Tao Men, Tongyi Yu, Lixin Sun, Qiquan Zhao, Yongheng Zhou, Jiangqiao Zeng, Li Zhao, Ming Tan, Jianming Ye, Qifa Shi, Bingyi Ming, Yingzi Zhu, Tongyu Sui, Weiguo Huang, Chibing Fu, Yingxin Ren Fail Clinical Study BACKGROUND: Kidneys obtained from deceased donors increase the incidence of delayed graft function (DGF) after renal transplantation. Here we investigated the influence of the risk factors of donors with DGF, and developed a donor risk scoring system for DGF prediction. METHODS: This retrospective study was conducted in 1807 deceased kidney donors and 3599 recipients who received donor kidneys via transplants in 29 centers in China. We quantified DGF associations with donor clinical characteristics. A donor risk scoring system was developed and validated using an independent sample set. RESULTS: The incidence of DGF from donors was 19.0%. Six of the donor characteristics analyzed, i.e., age, cause of death, history of hypertension, terminal serum creatinine, persistence of hypotension, and cardiopulmonary resuscitation (CPR) time were risk factors for DGF. A 49-point scoring system of donor risk was established for DGF prediction and exhibited a superior degree of discrimination. External validation of DGF prediction revealed area under the receiver-operating characteristic (AUC) curves of 0.7552. CONCLUSIONS: Our study determined the deceased donor risk factors related to DGF after renal transplantation pertinent to the Chinese cohort. The scoring system developed here had superior diagnostic significance and consistency and can be used by clinicians to make evidence-based decisions on the quality of kidneys from deceased donors and guide renal transplantation therapy. Taylor & Francis 2021-03-15 /pmc/articles/PMC7971200/ /pubmed/33719820 http://dx.doi.org/10.1080/0886022X.2021.1895838 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Xue, Wujun Wang, Changxi Chen, Jianghua Sun, Xuyong Wu, Xiaotong Peng, Longkai Chen, Zhishui Qu, Qingshan Zhang, Xiaodong Fu, Yaowen Dong, Zhen Chen, Zheng Feng, Guiwen Lin, Tao Men, Tongyi Yu, Lixin Sun, Qiquan Zhao, Yongheng Zhou, Jiangqiao Zeng, Li Zhao, Ming Tan, Jianming Ye, Qifa Shi, Bingyi Ming, Yingzi Zhu, Tongyu Sui, Weiguo Huang, Chibing Fu, Yingxin A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title | A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title_full | A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title_fullStr | A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title_full_unstemmed | A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title_short | A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China |
title_sort | prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from china |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971200/ https://www.ncbi.nlm.nih.gov/pubmed/33719820 http://dx.doi.org/10.1080/0886022X.2021.1895838 |
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