BACKGROUND: The aim of the present study was to investigate the effect of delayed graft function (DGF) in graft outcome when adjusted by the presence of acute rejection in the first month after transplantation. METHODS: A total of 437 cadaveric renal transplant patients on cyclosporine and steroids were included in the study. Variables related to donor, recipient, and graft were prospectively collected. RESULTS: The incidence of DGF was 44.4%. When patients dying with a functioning graft were censored, graft survival rates at 1 and 6 years were similar in patients with immediate function to those with DGF, when rejection was not present (96% and 81% vs. 95% and 83%, respectively). Rejection negatively influenced graft survival rates at 1 and 6 years, both in patients with immediate graft function (80% and 73%, P<0.05 vs. no DGF/no rejection) and more deeply in those with associated DGF (77% and 62%, P<0.001 vs. no DGF/no rejection). Rejection was more frequently diagnosed in patients with DGF than in those with immediate graft function (50% vs. 39.9%, P<0.05). Length of hospitalization was longer and the number of needle core biopsies was higher in patients with DGF or rejection. The presence of both complications had an additive effect. CONCLUSIONS: This study showed that DGF did not adversely affect kidney graft survival in patients without rejection. However, it increased the length of hospitalization and the number of graft biopsies, thus increasing the cost of transplantation. Moreover, rejection was more frequent in patients with DGF, and it had a negative impact on graft outcome. Because the association of DGF and rejection gave the poorest outcome, an effort should be made to prevent both complications.
BACKGROUND: The aim of the present study was to investigate the effect of delayed graft function (DGF) in graft outcome when adjusted by the presence of acute rejection in the first month after transplantation. METHODS: A total of 437 cadaveric renal transplant patients on cyclosporine and steroids were included in the study. Variables related to donor, recipient, and graft were prospectively collected. RESULTS: The incidence of DGF was 44.4%. When patients dying with a functioning graft were censored, graft survival rates at 1 and 6 years were similar in patients with immediate function to those with DGF, when rejection was not present (96% and 81% vs. 95% and 83%, respectively). Rejection negatively influenced graft survival rates at 1 and 6 years, both in patients with immediate graft function (80% and 73%, P<0.05 vs. no DGF/no rejection) and more deeply in those with associated DGF (77% and 62%, P<0.001 vs. no DGF/no rejection). Rejection was more frequently diagnosed in patients with DGF than in those with immediate graft function (50% vs. 39.9%, P<0.05). Length of hospitalization was longer and the number of needle core biopsies was higher in patients with DGF or rejection. The presence of both complications had an additive effect. CONCLUSIONS: This study showed that DGF did not adversely affect kidney graft survival in patients without rejection. However, it increased the length of hospitalization and the number of graft biopsies, thus increasing the cost of transplantation. Moreover, rejection was more frequent in patients with DGF, and it had a negative impact on graft outcome. Because the association of DGF and rejection gave the poorest outcome, an effort should be made to prevent both complications.
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
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
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
Authors: M Z Molnar; C P Kovesdy; S Bunnapradist; E Streja; R Mehrotra; M Krishnan; A R Nissenson; K Kalantar-Zadeh Journal: Am J Transplant Date: 2011-03-30 Impact factor: 8.086
Authors: I E Hall; R S Bhangoo; P P Reese; M D Doshi; F L Weng; K Hong; H Lin; G Han; R D Hasz; M J Goldstein; B Schröppel; C R Parikh Journal: Am J Transplant Date: 2014-02-24 Impact factor: 8.086
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