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Predictors and one-year outcomes of patients with delayed graft function after deceased donor kidney transplantation.
Chen, Rao; Wang, Haifeng; Song, Lei; Hou, Jianfei; Peng, Jiawei; Dai, Helong; Peng, Longkai.
Afiliação
  • Chen R; Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Wang H; Clinical Research Center for Organ Transplantation in Hunan Province, Changsha, Hunan, 410011, China.
  • Song L; Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Hou J; Clinical Research Center for Organ Transplantation in Hunan Province, Changsha, Hunan, 410011, China.
  • Peng J; Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Dai H; Clinical Research Center for Organ Transplantation in Hunan Province, Changsha, Hunan, 410011, China.
  • Peng L; Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
BMC Nephrol ; 21(1): 526, 2020 12 04.
Article em En | MEDLINE | ID: mdl-33276737
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article