scholarly journals Predictors and One-year Outcomes of Patients with Delayed Graft Function after Deceased Donor Kidney Transplantation

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 ◽  
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 ◽  
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.


2019 ◽  
Vol 41 (2) ◽  
pp. 231-241 ◽  
Author(s):  
Mateus Swarovsky Helfer ◽  
Jeferson de Castro Pompeo ◽  
Otávio Roberto Silva Costa ◽  
Alessandra Rosa Vicari ◽  
Adriana Reginato Ribeiro ◽  
...  

Abstract Introduction: Delayed graft function (DGF) is a frequent complication after deceased donor kidney transplantation with an impact on the prognosis of the transplant. Despite this, long-term impact of DGF on graft function after deceased donor kidney transplantation has not been properly evaluated. Objective: The main objective of this study was to evaluate risk factors for DGF and the impact of its occurrence and length on graft survival and function. Methods: A retrospective cohort study was performed in 517 kidney transplant recipients who received a deceased donor organ between January 2008 and December 2013. Results: The incidence of DGF was 69.3% and it was independently associated with donor's final serum creatinine and age, cold ischemia time, use of antibody induction therapy and recipient's diabetes mellitus. The occurrence of DGF was also associated with a higher incidence of Banff ≥ 1A grade acute rejection (P = 0.017), lower graft function up to six years after transplantation and lower death-censored graft survival at 1 and 5 years (P < 0.05). DGF period longer than 14 days was associated with higher incidence of death-censored graft loss (P = 0.038) and poorer graft function (P < 0.001). No differences were found in patient survival. Conclusions: The occurrence of DGF has a long-lasting detrimental impact on graft function and survival and this impact is even more pronounced when DGF lasts longer than two weeks.


2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i583-i583
Author(s):  
Marie Bodilsen Nielsen ◽  
Nicoline Krogstrup ◽  
Gertrude Nieuwenhuijs-Moeke ◽  
Mihai Oltean ◽  
Frank Dor ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212676 ◽  
Author(s):  
Marie B. Nielsen ◽  
Nicoline V. Krogstrup ◽  
Gertrude J. Nieuwenhuijs-Moeke ◽  
Mihai Oltean ◽  
Frank J. M. F. Dor ◽  
...  

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