Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death

作     者：Chen-Guang Ding Qian-Hui Tai Feng Han Yang Li Xiao-Hui Tian Pu-Xun Tian Xiao-Ming Ding Xiao-Ming Pan Jin Zheng He-Li Xiang Wu-Jun Xue Ding Chen-Guang;Tai Qian-Hui;Han Feng;Li Yang;Tian Xiao-Hui;Tian Pu-Xun;Ding Xiao-Ming;Pan Xiao-Ming;Zheng Jin;Xiang He-Li;Xue Wu-Jun

作者机构：Department of Renal Transplantation Nephropathy Hospital The First Affiliated Hospital of Xi'an Jiaotong University Xi'an Shaanxi 710061 China Institute of Organ Transplantation Xi'an Jiaotong University Xi'an Shaanxi 710061 China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2017年第130卷第20期

页      面：2429-2434页

核心收录：

学科分类：1002[医学-临床医学] 100210[医学-外科学(含：普外、骨外、泌尿外、胸心外、神外、整形、烧伤、野战外)] 10[医学] 

基　　金：This study was supported by grants from the National Natural Science Foundation of China (No. 81670681) and major clinical research projects of the First Affiliated Hospital of Xi'an Jiao Tong University (No. XJTU 1AF-CRF-2015-005) 

主　　题：Delayed Graft Function Donation after Cardiac Death Kidney Transplantation Predictive Score 

摘      要：Background： How to evaluate the quality of donation after cardiac transplantation in China. Hence, the aim of this study was to develop kidneys before DCD. death （DCD） kidneys has become a critical problem in kidney a simple donor risk score model to evaluate the quality of DCD Methods： A total of 543 qualified kidneys were randomized in a 2：1 manner to create the development and validation cohorts. The donor variables in the development cohort were considered as candidate univariate predictors of delayed graft function （DGF）. Multivariate logistic regression was then used to identify independent predictors of DGF with P 〈 0.05. Date from validation cohort were used to validate the donor scoring model. Results： Based on the odds ratios, eight identified variables were assigned a weighted integer; the sum of the integer was the total risk score for each kidney. The donor risk score, ranging from 0 to 28, demonstrated good discriminative power with a C-statistic of 0.790. Similar results were obtained from validation cohort with C-statistic of 0.783. Based on the obtained frequencies of DGF in relation to different risk scores, we formed tour risk categories of increasing severity （scores 04, 5 9, 10-14, and 15 28）. Conclusions： The scoring model might be a good noninvasive tool for assessing the quality of DCD kidneys before donation and potentially useful for physicians to make optimal decisions about donor organ offers.