A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China

Renal Failure

Chibing Huang¹  Xiaodong Zhang²  Yaowen Fu³  Li Zeng⁴  Jianghua Chen⁵  Yongheng Zhao⁶  Lixin Yu⁷  Jiangqiao Zhou⁸  Qingshan Qu⁹  Xiaotong Wu^1,10  Jianming Tan^1,11  Weiguo Sui^1,12  Zhen Dong^1,13  Xuyong Sun^1,14  Bingyi Shi^1,15  Changxi Wang^1,16  Guiwen Feng^1,17  Wujun Xue^1,18  Tongyi Men^1,19  Yingxin Fu^2,20  Zheng Chen^2,21  Longkai Peng^2,22  Qiquan Sun^2,23  Yingzi Ming^2,24  Zhishui Chen^2,25  Tao Lin^2,26  Qifa Ye^2,27  Tongyu Zhu^2,28  Ming Zhao^2,29 

[1] ;Beijing Chaoyang Hospital Affiliated to The Capital University of Medical Sciences;Bethune First Hospital of Jilin University;Changhai Hospital of Naval Military Medical University;First Affiliated Hospital Of Zhejiang University Medical School;Kunming City First People’s Hospital;Nanfang Hospital of Southern Medical University, Guangzhou, China;People’s Hospital of Wuhan University;People’s Hospital of Zhengzhou City;Second People’s Hospital of Shanxi Province;The 900 Hospital of Joint Logistic Support Department of PLA, Fuzhou, China;The 924 Hospital of Joint Logistic Support Department of PLA, Guilin, China;The Affiliated Hospital of Qingdao University;The Chinese People’s Liberation Army 923 Hospital;The Eighth Medical Center of People’s Liberation Army General Hospital, Beijing, China;The First Affiliated Hospital Of Sun Yat-sen University;The First Affiliated Hospital Of Zhengzhou University, Zhengzhou, China;The First Affiliated Hospital of Xi’an Jiaotong University;The First Affiliated Hospital of the First Shandong Medical University, Jinan, China;The Second Affiliated Hospital of Army Military Medical University;The Second Affiliated Hospital of Guangzhou Medical University;The Second Xiangya Hospital Of Central South University,;The Third Hospital Affiliated of Sun-Yet University, Guangzhou, China;The Third Xiangya Hospital of Central South University, Changsha, China;Tongji Hospital Affiliated to Tongji Medical College Huazhong University of Science and Technology;West China Hospital of Sichuan University;Zhongnan Hospital of Wuhan University;Zhongshan Hospital Affiliated to Fudan University;Zhujiang Hospital, of Southern Medical University, Guangzhou, China;

关键词: renal transplantation;    delayed graft function;    risk factors;    deceased donor;   

DOI  :  10.1080/0886022X.2021.1895838

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown