Literature DB >> 17000734

Comparison of early renal function parameters for the prediction of 5-year graft survival after kidney transplantation.

Peter Schnuelle1, Uwe Gottmann, Hannes Köppel, Paul Thomas Brinkkoetter, Stefan Krzossok, Johannes Weiss, Wilhelm Schmitt, Benito A Yard, Matthias Heinrich Martin Schwarzbach, Stefan Post, Fokko Johannes van der Woude, Rainer Birck.   

Abstract

BACKGROUND: Early graft function (EGF) has an enduring effect on the subsequent course after kidney transplantation. This study compares quantitative parameters of EGF for the prediction of graft survival.
METHODS: We involved 300 consecutive transplant recipients from deceased donors from 1989 to 2005. Urine output during 24 h post-transplant (UO), and serum creatinine after 1 week (Cr7) were taken for explanatory variables. We generated Kaplan-Meier (K-M) estimates of graft survival, by quintiles of the explanatory variable. Cox regression was applied to control for various recipient factors.
RESULTS: K-M survival estimates indicate a threshold effect of UO and Cr7, which can dissect the risk of graft failure. The thresholds referring to the 2nd quintile correspond to a UO >630 ml and a Cr7 <2.5 mg/dl and were associated with a proportional hazard ratio of 0.52 (95% CI 0.33-0.84) and 0.34 (95% CI 0.18-0.65), respectively. Combining both of the parameters predicted a 5-year graft survival probability >90%, according to a hazard ratio of 0.21 (95% CI 0.09-0.46). Requirement of dialysis post-transplant lost its discriminatory power and was not a significant explanatory variable in the multivariate analysis.
CONCLUSION: Routine parameters for monitoring of EGF display a threshold effect allowing accurate prediction of 5-year graft survival at the earliest point in time. The quantitative threshold levels for an optimum discriminatory power require validation in a larger, preferably multicentre database.

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Year:  2006        PMID: 17000734     DOI: 10.1093/ndt/gfl530

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


  5 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.  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

3.  Perioperative Plasma-Lyte use reduces the incidence of renal replacement therapy and hyperkalaemia following renal transplantation when compared with 0.9% saline: a retrospective cohort study.

Authors:  Anamika Adwaney; David W Randall; Mark J Blunden; John R Prowle; Christopher J Kirwan
Journal:  Clin Kidney J       Date:  2017-06-29

4.  Prediction of kidney transplant outcome based on different DGF definitions in Chinese deceased donation.

Authors:  Xiao-Jun Hu; Jin Zheng; Yang Li; Xiao-Hui Tian; Pu-Xun Tian; He-Li Xiang; Xiao-Ming Pan; Chen-Guang Ding; Xiao-Ming Ding; Wu-Jun Xue
Journal:  BMC Nephrol       Date:  2019-11-13       Impact factor: 2.388

5.  Risk Prediction for Delayed Allograft Function: Analysis of the Deterioration of Kidney Allograft Function (DeKAF) Study Data.

Authors:  Arthur J Matas; Erika Helgeson; Ann Fieberg; Robert Leduc; Robert S Gaston; Bertram L Kasiske; David Rush; Lawrence Hunsicker; Fernando Cosio; Joseph P Grande; J Michael Cecka; John Connett; Roslyn B Mannon
Journal:  Transplantation       Date:  2022-02-01       Impact factor: 5.385

  5 in total

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