Literature DB >> 23538345

Risk factors and consequences of delayed graft function.

Mondher Ounissi1, Mejda Cherif, Taieb Ben Abdallah, Mongi Bacha, Hafedh Hedri, Ezzedine Abderrahim, Rym Goucha, Adel Kheder, Riadh Ben Slama, Amine Derouiche, Mohamed Chebil, Rafika Bardi, Imen Sfar, Yosr Gorgi.   

Abstract

The impact of delayed graft function (DGF) on the outcome of renal transplantation remains controversial. We analyzed the risk factors for DGF and its impact on graft and patient survival. A total of 354 renal transplants performed between June 1986 and April 2000 were analyzed. Variables analyzed included donor and recipient age, method and duration of renal replacement therapy, HLA mismatch, cold and warm ischemia times, biopsy-confirmed acute rejection, length of stay in the hospital, serum creatinine at the end of first hospitalization as well as graft and patient survival at one, three, five and ten years. The study patients were divided into two groups: patients with DGF (G1) and those without DGF (G2). DGF occurred in 50 patients (14.1%), and it was seen more frequently in patients transplanted from deceased donors (60% vs. 40%, P <0.0001). The cause of DGF was acute tubular necrosis, seen in 98% of the cases. Univariate analysis showed a statistically significant difference between the two groups G1 and G2 in the following parameters: average duration on dialysis (52.3 vs. 36.4 months, P = 0.006), HLA mismatch (44.9% vs. 32.11% P = 0.015), donor age (35.9 vs. 40.2 years, P = 0.026), cold ischemia time (23 vs. 18.2 h, P = 0.0016), warm ischemia time (41.9 vs. 38.6 mn, P = 0.046), length of stay in the hospital during first hospitalization (54.7 vs. 33.2 days, P <0.0001), serum creatinine at the end of first hospitalization (140 vs. 112 μmol/L, P <0.0001) and at three months following transplantation (159 vs. 119 μmol/L, P = 0.0002). Multivariate analysis revealed the following independent risk factors for DGF: deceased donor (RR = 13.2, P <0.0001) and cold ischemia time (RR = 1.17, P = 0.008). The graft survival at one, three, five and ten years was 100%, 93%, 88.3% and 78.3% in G1 versus 100%, 95.9% 92.8% and 82.3% in G2; there was no statistically significant difference. The patient survival at one, three, five and ten years was 100%, 91.3%, 83.6% and 74.4% in G1 versus 100%, 95.9%, 94% and 82.6% in G2 with a statistically significant difference (P = 0.04). Prolonged cold ischemia time and transplantation of kidneys from deceased donors were the main risk factors for DGF in our study. Also, DGF significantly affected patient survival but had no influence on graft survival.

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Year:  2013        PMID: 23538345     DOI: 10.4103/1319-2442.109564

Source DB:  PubMed          Journal:  Saudi J Kidney Dis Transpl        ISSN: 1319-2442


  8 in total

1.  Daily use of a muscle pump activator device reduces duration of hospitalization and improves early graft outcomes post-kidney transplantation: A randomized controlled trial.

Authors:  Wen Xie; Max A Levine; Shahid Aquil; Katharine Pacoli; Rafid Al-Ogaili; Patrick P Luke; Alp Sener
Journal:  Can Urol Assoc J       Date:  2021-02       Impact factor: 1.862

2.  Impact of the kidney allocation system on young pediatric recipients.

Authors:  William Fiske Parker; Lainie Friedman Ross; J Richard Thistlethwaite; Amy E Gallo
Journal:  Clin Transplant       Date:  2018-03-14       Impact factor: 2.863

3.  Biomarkers of delayed graft function as a form of acute kidney injury in kidney transplantation.

Authors:  Jolanta Malyszko; Ewelina Lukaszyk; Irena Glowinska; Magdalena Durlik
Journal:  Sci Rep       Date:  2015-07-15       Impact factor: 4.379

4.  Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests.

Authors:  Omid Hamidi; Jalal Poorolajal; Maryam Farhadian; Leili Tapak
Journal:  Iran J Public Health       Date:  2016-01       Impact factor: 1.429

5.  Prediction of Kidney Graft Rejection Using Artificial Neural Network.

Authors:  Leili Tapak; Omid Hamidi; Payam Amini; Jalal Poorolajal
Journal:  Healthc Inform Res       Date:  2017-10-31

6.  Optimized method to harvest both kidneys from one donor rat for transplantation.

Authors:  Chun-Hua Ju; Ling-Na Xue; Hong-Jia Cheng; Zhong-da Jin
Journal:  BMC Surg       Date:  2018-08-29       Impact factor: 2.102

7.  Evaluation of predictive models for delayed graft function of deceased kidney transplantation.

Authors:  Huanxi Zhang; Linli Zheng; Shuhang Qin; Longshan Liu; Xiaopeng Yuan; Qian Fu; Jun Li; Ronghai Deng; Suxiong Deng; Fangchao Yu; Xiaoshun He; Changxi Wang
Journal:  Oncotarget       Date:  2017-11-27

8.  Risk factors and outcomes of prolonged recovery from delayed graft function after deceased kidney transplantation.

Authors:  Huanxi Zhang; Qian Fu; Jinqi Liu; Jun Li; Ronghai Deng; Chenglin Wu; Weijian Nie; Xutao Chen; Longshan Liu; Changxi Wang
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

  8 in total

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