Literature DB >> 16720598

Reduced graft function (with or without dialysis) vs immediate graft function--a comparison of long-term renal allograft survival.

Olwyn Johnston1, Patrick O'kelly, Susan Spencer, John Donohoe, J Joseph Walshe, Dilly M Little, David Hickey, Peter J Conlon.   

Abstract

BACKGROUND: Delayed graft function (DGF) is a common complication in cadaveric kidney transplants affecting graft outcome. However, the incidence of DGF differs widely between centres as its definition is very variable. The purpose of this study was to define a parameter for DGF and immediate graft function (IGF) and to compare the graft outcome between these groups at our centre.
METHODS: The renal allograft function of 972 first cadaveric transplants performed between 1990 and 2001 in the Republic of Ireland was examined. The DGF and IGF were defined by a creatinine reduction ratio (CRR) between time 0 of transplantation and day 7 post-transplantation of <70 and >70%, respectively. Recipients with reduced graft function (DGF) not requiring dialysis were defined as slow graft function (SGF) patients. The serum creatinine at 3 months, 6 months, 1, 2 and 5 years after transplantation was compared between these groups of recipients. The graft survival rates at 1, 3 and 5 years and the graft half-life for DGF, SGF and IGF recipients were also assessed.
RESULTS: Of the 972 renal transplant recipients, DGF was seen in 102 (10.5%) patients, SGF in 202 (20.8%) recipients and IGF in 668 (68.7%) patients. Serum creatinine levels were significantly different between the three groups at 3 and 6 months, 1, 2 and 5 years. Graft survival at 5 years for the DGF patients was 48.5%, 60.5% for SGF recipients and 75% for IGF patients with graft half-life of 4.9, 8.7 and 10.5 years, respectively.
CONCLUSION: This study has shown that the CRR at day 7 correlates with renal function up to 5 years post-transplantation and with long-term graft survival. We have also demonstrated that amongst patients with reduced graft function after transplantation, two groups with significantly different outcomes exist.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16720598     DOI: 10.1093/ndt/gfl103

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  31 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

2.  Association between peritransplant kidney injury biomarkers and 1-year allograft outcomes.

Authors:  Isaac E Hall; Mona D Doshi; Peter P Reese; Richard J Marcus; Heather Thiessen-Philbrook; Chirag R Parikh
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-21       Impact factor: 8.237

3.  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

4.  Urine cystatin C as a biomarker of proximal tubular function immediately after kidney transplantation.

Authors:  Isaac E Hall; Jay L Koyner; Mona D Doshi; Richard J Marcus; Chirag R Parikh
Journal:  Am J Nephrol       Date:  2011-04-15       Impact factor: 3.754

5.  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

6.  Systematic Surgical Assessment of Deceased-Donor Kidneys as a Predictor of Short-Term Transplant Outcomes.

Authors:  Elise L Tierie; Joke I Roodnat; Frank J M F Dor
Journal:  Eur Surg Res       Date:  2019-09-03       Impact factor: 1.745

7.  Pretransplant transcriptome profiles identify among kidneys with delayed graft function those with poorer quality and outcome.

Authors:  Valeria R Mas; Mariano J Scian; Kellie J Archer; Jihee L Suh; Krystle G David; Qing Ren; Todd W B Gehr; Anne L King; Marc P Posner; Thomas F Mueller; Daniel G Maluf
Journal:  Mol Med       Date:  2011-09-06       Impact factor: 6.354

8.  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

9.  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

10.  Similar outcomes with different rates of delayed graft function may reflect center practice, not center performance.

Authors:  S K Akkina; J J Connaire; A K Israni; J J Snyder; A J Matas; B L Kasiske
Journal:  Am J Transplant       Date:  2009-05-20       Impact factor: 8.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.