Literature DB >> 10916111

Delayed graft function influences renal function, but not survival.

H Boom1, M J Mallat, J W de Fijter, A H Zwinderman, L C Paul.   

Abstract

BACKGROUND: In renal transplantation, the impact of delayed graft function (DGF) on prognosis is controversial. We analyzed the risk factors of DGF and its impact on graft function and prognosis.
METHODS: Seven hundred thirty-four cadaveric renal transplants performed between 1983 and 1997 were analyzed. DGF was diagnosed when serum creatinine levels increased, remained unchanged, or decreased less than 10% per day in three consecutive days in the first week after transplantation. Creatinine clearances of more or less than 50 or 30 mL/min at one year were used as cut-off points for optimal and suboptimal graft function, respectively. The logistic regression model was used to identify independent risk factor related to DGF and renal function one year after transplantation. The Cox regression model was used to examine the influence of DGF on long-term graft survival.
RESULTS: Multivariate analysis revealed the following risk factors for DGF: recipient pretransplantation mean arterial blood pressure of less than 100 mm Hg (OR = 2.08, 95% CI, 1.43 to 3.03), female donor to male recipient combination (OR = 1.55, 95% CI, 1.02 to 2.35), donor age of more than 50 years (OR = 2.21, 95% CI, 1.49 to 3.26), cold ischemia time of more than 28 hours (OR = 1.78, 95% CI, 1.19 to 2.63), and peak panel reactive antibodies of more than 50% (OR = 1.7, 95% CI, 1.15 to 2.55). The incidence of DGF was one of the independent risk factors for suboptimal graft function at one year (OR = 1.68, 95% CI, 1.14 to 2.48), together with donor age of more than 50 years (OR = 2.39, 95% CI, 1.61 to 3.57), female donor gender (OR = 1.99, 95% CI, 1.42 to 2.78), the occurrence of acute rejection episodes (OR = 2.66, 95% CI, 1.87 to 3.78), peak panel-reactive antibodies of more than 50% (OR = 1.67, 95% CI, 1.15 to 2.47), and sharing of 1 to 3 versus 4 to 8 cross-reactive antigens groups (OR = 1.65, 95% CI, 1.09 to 2. 49). Moreover, DGF was one of the two independent risk factors for acute rejection episodes, but it had no independent effect on graft survival.
CONCLUSION: Several risk factors for DGF were identified, of which a low recipient pretransplant mean arterial blood pressure, the transplantation of kidneys from female donors to male recipients, and a prolonged cold ischemia time are potentially avoidable. Although DGF is one of the several risk factors of acute rejection and suboptimal function at one year, it is not independently associated with an increased rate of graft loss.

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Year:  2000        PMID: 10916111     DOI: 10.1046/j.1523-1755.2000.00235.x

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  41 in total

Review 1.  Renal ischemia--reperfusion injury: an inescapable event affecting kidney transplantation outcome.

Authors:  R Böhmová; O Viklický
Journal:  Folia Microbiol (Praha)       Date:  2001       Impact factor: 2.099

2.  Use of a Targeted Urine Proteome Assay (TUPA) to identify protein biomarkers of delayed recovery after kidney transplant.

Authors:  Kenneth R Williams; Christopher M Colangelo; Lin Hou; Lisa Chung; Justin M Belcher; Thomas Abbott; Isaac E Hall; Hongyu Zhao; Lloyd G Cantley; Chirag R Parikh
Journal:  Proteomics Clin Appl       Date:  2017-03-31       Impact factor: 3.494

Review 3.  Marked variation in the definition and diagnosis of delayed graft function: a systematic review.

Authors:  Sri G Yarlagadda; Steven G Coca; Amit X Garg; Mona Doshi; Emilio Poggio; Richard J Marcus; Chirag R Parikh
Journal:  Nephrol Dial Transplant       Date:  2008-04-11       Impact factor: 5.992

4.  Delayed graft function and the risk of acute rejection in the modern era of kidney transplantation.

Authors:  W Kelly Wu; Olusegun Famure; Yanhong Li; S Joseph Kim
Journal:  Kidney Int       Date:  2015-06-24       Impact factor: 10.612

5.  Associations of pre-transplant anemia management with post-transplant delayed graft function in kidney transplant recipients.

Authors:  Miklos Z Molnar; Csaba P Kovesdy; Laszlo Rosivall; Suphamai Bunnapradist; Junichi Hoshino; Elani Streja; Mahesh Krishnan; Kamyar Kalantar-Zadeh
Journal:  Clin Transplant       Date:  2012-03-12       Impact factor: 2.863

6.  Targeted donor complement blockade after brain death prevents delayed graft function in a nonhuman primate model of kidney transplantation.

Authors:  Juan S Danobeitia; Tiffany J Zens; Peter J Chlebeck; Laura J Zitur; Jose A Reyes; Michael J Eerhart; Jennifer Coonen; Saverio Capuano; Anthony M D'Alessandro; Jose R Torrealba; Daniel Burguete; Kevin Brunner; Edwin Van Amersfoort; Yolanda Ponstein; Cees Van Kooten; Ewa Jankowska-Gan; William Burlingham; Jeremy Sullivan; Arjang Djamali; Myron Pozniak; Yucel Yankol; Luis A Fernandez
Journal:  Am J Transplant       Date:  2020-02-20       Impact factor: 8.086

7.  Center-level variation in the development of delayed graft function after deceased donor kidney transplantation.

Authors:  Babak J Orandi; Nathan T James; Erin C Hall; Kyle J Van Arendonk; Jacqueline M Garonzik-Wang; Natasha Gupta; Robert A Montgomery; Niraj M Desai; Dorry L Segev
Journal:  Transplantation       Date:  2015-05       Impact factor: 4.939

Review 8.  Combating chronic renal allograft dysfunction : optimal immunosuppressive regimens.

Authors:  Pierre Merville
Journal:  Drugs       Date:  2005       Impact factor: 9.546

9.  Delayed Graft Function Phenotypes and 12-Month Kidney Transplant Outcomes.

Authors:  Isaac E Hall; Peter P Reese; Mona D Doshi; Francis L Weng; Bernd Schröppel; William S Asch; Joseph Ficek; Heather Thiessen-Philbrook; Chirag R Parikh
Journal:  Transplantation       Date:  2017-08       Impact factor: 4.939

10.  IL-18 and urinary NGAL predict dialysis and graft recovery after kidney transplantation.

Authors:  Isaac E Hall; Sri G Yarlagadda; Steven G Coca; Zhu Wang; Mona Doshi; Prasad Devarajan; Won K Han; Richard J Marcus; Chirag R Parikh
Journal:  J Am Soc Nephrol       Date:  2009-09-17       Impact factor: 10.121

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