scholarly journals Combined impact of extended criteria donor and cold ischemic time on delayed graft function in deceased donor kidney transplantation

2021 ◽  
Vol 35 (1) ◽  
pp. S56-S56
Author(s):  
Seung Hwan Song ◽  
Dami Jung ◽  
Ku Yong Chung
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Rao Chen ◽  
Haifeng Wang ◽  
Lei Song ◽  
Jianfei Hou ◽  
Jiawei Peng ◽  
...  

Abstract Background Delayed graft function (DGF) is closely associated with the use of marginal donated kidneys due to deficits during transplantation and in recipients. We aimed to predict the incidence of DGF and evaluate its effect on graft survival. Methods This retrospective study on kidney transplantation was conducted from January 1, 2018, to December 31, 2019, at the Second Xiangya Hospital of Central South University. We classified recipients whose operations were performed in different years into training and validation cohorts and used data from the training cohort to analyze predictors of DGF. A nomogram was then constructed to predict the likelihood of DGF based on these predictors. Results The incidence rate of DGF was 16.92%. Binary logistic regression analysis showed correlations between the incidence of DGF and cold ischemic time (CIT), warm ischemic time (WIT), terminal serum creatine (Scr) concentration, duration of pretransplant dialysis, primary cause of donor death, and usage of LifePort. The internal accuracy of the nomogram was 83.12%. One-year graft survival rates were 93.59 and 99.74%, respectively, for the groups with and without DGF (P < 0.05). Conclusion The nomogram established in this study showed good accuracy in predicting DGF after deceased donor kidney transplantation; additionally, DGF decreased one-year graft survival.


2020 ◽  
Author(s):  
Rao Chen ◽  
Haifeng Wang ◽  
Jianfei Hou ◽  
Helong Dai ◽  
Longkai Peng

Abstract Objective:Delayed graft function (DGF) is closely associated with the use of marginal donated kidneys due to deficits during transplantation and in recipients. We aimed to predict the incidence of DGF and evaluate its effect on graft survival.Methods:This retrospective study on kidney transplantation was conducted from January 1, 2018, to May 31, 2019, in the Second Xiangya Hospital of Central South University. We classified recipients into training and validation cohorts and used data from the training cohort to analyze the predictors of DGF. A nomogram was then constructed to predict the likelihood of DGF based on these predictors.Results:The incidence rate of DGF is 24.73%. Binary logistic regression analysis showed correlations between the incidence of DGF and cold ischemic time (CIT), warm ischemic time (WIT), donor body mass index (BMI), duration of pretransplant dialysis, diabetic donor, primary cause of donor death, and terminal serum creatinine concentration. The internal accuracy of the nomogram was 85.78%. One-year graft survival rates were 100% and 94.74%, respectively, for the groups with and without DGF (P<0.05).Conclusion:The nomogram established in this study showed good accuracy in predicting DGF after deceased donor kidney transplantation; additionally, DGF decreased one-year graft survival.


2020 ◽  
Author(s):  
Rao Chen ◽  
Haifeng Wang ◽  
Lei Song ◽  
Jianfei Hou ◽  
Jiawei Peng ◽  
...  

Abstract Background:Delayed graft function (DGF) is closely associated with the use of marginal donated kidneys due to deficits during transplantation and in recipients. We aimed to predict the incidence of DGF and evaluate its effect on graft survival.Methods:This retrospective study on kidney transplantation was conducted from January 1, 2018, to December 31, 2019, at the Second Xiangya Hospital of Central South University. We classified recipients whose operations were performed in different years into training and validation cohorts and used data from the training cohort to analyze predictors of DGF. A nomogram was then constructed to predict the likelihood of DGF based on these predictors.Results:The incidence rate of DGF was 16.92%. Binary logistic regression analysis showed correlations between the incidence of DGF and cold ischemic time (CIT), warm ischemic time (WIT), terminal serum creatine (Scr) concentration,, duration of pretransplant dialysis, primary cause of donor death, and usage of LifePort . The internal accuracy of the nomogram was 83.12%. One-year graft survival rates were 93.59% and 99.74%, respectively, for the groups with and without DGF (P<0.05).Conclusion:The nomogram established in this study showed good accuracy in predicting DGF after deceased donor kidney transplantation; additionally, DGF decreased one-year graft survival.


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