Literature DB >> 26581566

The impact of slow graft function on graft outcome is comparable to delayed graft function in deceased donor kidney transplantation.

Jung-Ho Shin1, Eun Hee Koo2, Sung Hae Ha3, Ji Hyeon Park2, Hye Ryoun Jang2, Jung Eun Lee2, Jae-Berm Park4, Sung Joo Kim4, Sin-Ho Jung5, Yoon-Goo Kim2, Dae Joong Kim2, Ha Young Oh2, Wooseong Huh6.   

Abstract

PURPOSE: Slow graft function (SGF) can influence overall prognosis in patients receiving deceased donor kidney transplantation (DKT). However, the impact of SGF on renal function remains uncertain. We investigated retrospectively renal function in cases with SGF compared with early graft function (EGF) and delayed graft function (DGF).
METHODS: Renal function after transplantation was analyzed in 199 patients who underwent DKT. Patients were classified into 130 (65.3 %) cases with EGF, 27 (13.6 %) cases with SGF, 6 (3.0 %) cases with DGF and one dialysis (DGF1), and 36 (18.1 %) cases with DGF and two or more dialyses (DGF2).
RESULTS: The 1-year estimated glomerular filtration rate (eGFR) in the SGF group was lower than that in the EGF group (P = 0.027), but the rate of eGFR decline did not differ between the groups. The risk factors for renal function were evaluated using the area under the eGFR curve over 3 years (AUCeGFR). Donor age was negatively, and recipient age and the number of HLA matches were positively correlated with the AUCeGFR (all P < 0.05). A multivariate analysis revealed that the AUCeGFR was lower in cases of younger recipient age, older donor age, and acute rejection (all P < 0.05). The AUCeGFR was significantly lower in the SGF and DGF2 groups compared with the EGF group (P = 0.031 and 0.006, respectively).
CONCLUSIONS: SGF may be an independent risk factor for poor renal function after DKT. Moreover, it was comparable to DGF. Efforts should be dedicated to minimizing the development of SGF and DGF.

Entities:  

Keywords:  Deceased donor kidney transplantation; Delayed graft function; Early graft function; Renal function; Slow graft function

Mesh:

Year:  2015        PMID: 26581566     DOI: 10.1007/s11255-015-1163-1

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  32 in total

1.  Longitudinal progression trajectory of GFR among patients with CKD.

Authors:  Liang Li; Brad C Astor; Julia Lewis; Bo Hu; Lawrence J Appel; Michael S Lipkowitz; Robert D Toto; Xuelei Wang; Jackson T Wright; Tom H Greene
Journal:  Am J Kidney Dis       Date:  2012-01-26       Impact factor: 8.860

2.  KDIGO clinical practice guideline for the care of kidney transplant recipients.

Authors: 
Journal:  Am J Transplant       Date:  2009-11       Impact factor: 8.086

3.  Posttransplant serum creatinine area under the curve predicts renal allograft outcome.

Authors:  N Sumrani; J Hong; A Miles; M Markell; D Distant; J Fleishhacker; V Maursky; F Jean-Baptiste; B Sommer
Journal:  Transplant Proc       Date:  1996-02       Impact factor: 1.066

4.  Delayed graft function: risk factors and implications for renal allograft survival.

Authors:  A O Ojo; R A Wolfe; P J Held; F K Port; R L Schmouder
Journal:  Transplantation       Date:  1997-04-15       Impact factor: 4.939

5.  Intermediate early graft function is associated with increased incidence of graft loss and worse long-term graft function in kidney transplantation.

Authors:  M Raimundo; J Guerra; C Teixeira; A Santana; S Silva; C M Homens; A G da Costa
Journal:  Transplant Proc       Date:  2013-04       Impact factor: 1.066

6.  GFR decline and mortality risk among patients with chronic kidney disease.

Authors:  Robert M Perkins; Ion D Bucaloiu; H Lester Kirchner; Nasrin Ashouian; James E Hartle; Taher Yahya
Journal:  Clin J Am Soc Nephrol       Date:  2011-06-16       Impact factor: 8.237

7.  The relationship between kidney function and long-term graft survival after kidney transplant.

Authors:  Bertram L Kasiske; Ajay K Israni; Jon J Snyder; Melissa A Skeans
Journal:  Am J Kidney Dis       Date:  2011-01-22       Impact factor: 8.860

8.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

Review 9.  Association between delayed graft function and allograft and patient survival: a systematic review and meta-analysis.

Authors:  Sri G Yarlagadda; Steven G Coca; Richard N Formica; Emilio D Poggio; Chirag R Parikh
Journal:  Nephrol Dial Transplant       Date:  2008-12-22       Impact factor: 5.992

10.  Chronic renal allograft rejection can be predicted by area under the serum creatinine versus time curve (AUCCr).

Authors:  S Yilmaz; A Yilmaz; P Häyry
Journal:  Kidney Int       Date:  1995-07       Impact factor: 10.612

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  2 in total

1.  Peritransplant Soluble CD30 as a Risk Factor for Slow Kidney Allograft Function, Early Acute Rejection, Worse Long-Term Allograft Function, and Patients' Survival.

Authors:  Andriy V Trailin; Tetyana I Ostapenko; Tamara N Nykonenko; Svitlana N Nesterenko; Olexandr S Nykonenko
Journal:  Dis Markers       Date:  2017-06-11       Impact factor: 3.434

2.  Association of Slow Graft Function with Long-Term Outcomes in Kidney Transplant Recipients.

Authors:  Connie J Wang; Ahmad Tuffaha; Milind A Phadnis; Jonathan D Mahnken; James B Wetmore
Journal:  Ann Transplant       Date:  2018-04-03       Impact factor: 1.530

  2 in total

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