INTRODUCTION: Renal transplant outcomes result from a combination of factors. Traditionally, donor factors were summarized by classifying kidneys as extended criteria or standard criteria. In 2014, the nomenclature changed to describe donor factors with the kidney donor profile index (KDPI). We aim to evaluate the relationship between KDPI and delayed graft function (DGF), and the impact KDPI on transplant outcomes for both donor after cardiac death (DCD) and donor after brain death (DBD). METHODS: An IRB-approved single-center retrospective chart review was performed from January 1999 to July 2013. The patients were divided into six groups: DBD KDPI ≤60, DBD KPDI 61-84, DBD KDPI ≥85, DCD KDPI ≤60, DCD KPDI 61-84, and DCD KDPI ≥85. Rates of DGF, patient survival, and graft survival were examined among groups. RESULTS: A total of 2161 kidney transplants were included. DGF rates increased, and graft and patient survival decreased with increasing KDPI (P < .001). DCD kidneys had higher DGF rates than their DBD counterparts (P < .001). In DCD kidneys, a higher KDPI score did not significantly affect the DGF rates (P > .302). There was no significant difference in graft or patient survival in all-comers when comparing DCD and DBD kidneys with equivalent KDPIs (P > .317). Patients with DGF across all categories demonstrated worse graft half-lives. CONCLUSION: The KDPI system is an accurate predictor of donor contributions to transplant outcomes. Recipients of DBD kidneys experience an increase in the rate of DGF as their KDPI increases. DCD kidneys have higher DGF rates than their DBD counterparts with similar KDPIs. Patients with documented post-transplant DGF had between 3- and 5-year shorter graft half-lives when compared to recipients that did not experience DGF. Initiatives to reduce the rate of DGF could provide a significant impact on graft survival and result in a reduction in the number of patients requiring retransplant.
INTRODUCTION: Renal transplant outcomes result from a combination of factors. Traditionally, donor factors were summarized by classifying kidneys as extended criteria or standard criteria. In 2014, the nomenclature changed to describe donor factors with the kidney donor profile index (KDPI). We aim to evaluate the relationship between KDPI and delayed graft function (DGF), and the impact KDPI on transplant outcomes for both donor after cardiac death (DCD) and donor after brain death (DBD). METHODS: An IRB-approved single-center retrospective chart review was performed from January 1999 to July 2013. The patients were divided into six groups: DBD KDPI ≤60, DBD KPDI 61-84, DBD KDPI ≥85, DCD KDPI ≤60, DCD KPDI 61-84, and DCD KDPI ≥85. Rates of DGF, patient survival, and graft survival were examined among groups. RESULTS: A total of 2161 kidney transplants were included. DGF rates increased, and graft and patient survival decreased with increasing KDPI (P < .001). DCD kidneys had higher DGF rates than their DBD counterparts (P < .001). In DCD kidneys, a higher KDPI score did not significantly affect the DGF rates (P > .302). There was no significant difference in graft or patient survival in all-comers when comparing DCD and DBD kidneys with equivalent KDPIs (P > .317). Patients with DGF across all categories demonstrated worse graft half-lives. CONCLUSION: The KDPI system is an accurate predictor of donor contributions to transplant outcomes. Recipients of DBD kidneys experience an increase in the rate of DGF as their KDPI increases. DCD kidneys have higher DGF rates than their DBD counterparts with similar KDPIs. Patients with documented post-transplant DGF had between 3- and 5-year shorter graft half-lives when compared to recipients that did not experience DGF. Initiatives to reduce the rate of DGF could provide a significant impact on graft survival and result in a reduction in the number of patients requiring retransplant.
Authors: Michael J Eerhart; Jose A Reyes; Casi L Blanton; Juan S Danobeitia; Peter J Chlebeck; Laura J Zitur; Megan Springer; Erzsebet Polyak; Jennifer Coonen; Saverio Capuano; Anthony M D'Alessandro; Jose Torrealba; Edwin van Amersfoort; Yolanda Ponstein; Cees van Kooten; William Burlingham; Jeremy Sullivan; Myron Pozniak; Weixiong Zhong; Yucel Yankol; Luis A Fernandez Journal: Transplantation Date: 2022-01-01 Impact factor: 5.385
Authors: Felix Becker; Linus Kebschull; Constantin Rieger; Annika Mohr; Barbara Heitplatz; Veerle Van Marck; Uwe Hansen; Junaid Ansari; Stefan Reuter; Benjamin Strücker; Andreas Pascher; Jens G Brockmann; Trevor Castor; J Steve Alexander; Felicity N E Gavins Journal: Cells Date: 2022-03-10 Impact factor: 6.600
Authors: Catherine R Butler; James D Perkins; Christopher K Johnson; Christopher D Blosser; Ramasamy Bakthavatsalam; Nicolae Leca; Lena Sibulesky Journal: PLoS One Date: 2019-01-24 Impact factor: 3.240
Authors: Ali I Gardezi; Brenda Muth; Adil Ghaffar; Fahad Aziz; Neetika Garg; Maha Mohamed; David Foley; Dixon Kaufman; Arjang Djamali; Didier Mandelbrot; Sandesh Parajuli Journal: Kidney Int Rep Date: 2021-04-17