BACKGROUND: The limited supply of deceased donors for renal transplantation led to considering alternative strategies for making more organs available. One of these strategies is the use of donors with renal dysfunction, as this is usually a reversible condition. RIFLE (risk, injury, failure, loss and end-stage renal failure) criteria were developed to standardize the definition and severity of acute kidney injury (AKI) but have not been previously used in brain-deceased donors. We applied the RIFLE classification to evaluate renal function changes in our donor pool, in an attempt to know its influence in transplant outcome. METHODS: Data were collected from the renal transplant patient and the intensive care unit brain-dead donors prospectively maintained databases of our hospital. Risk was defined when creatinine increased x1.5, injury when it increased x2 and failure when last creatinine increased x3 with respect to admission-day creatinine. RESULTS: From 176 donors, 10.8% suffered AKI and 7.9% were included in 'risk', 2.3% in 'injury' and 0.6% in 'failure' categories. There were no significant differences between AKI and non-AKI groups in donor and intensive care management variables, except in last-day creatinine. First-day urine volumes were lower (P = 0.043) and delayed graft function rates were higher (P = 0.013) in the AKI group than in the non-AKI group recipients. Graft survival and other outcome variables were not different between AKI and non-AKI recipients. CONCLUSIONS: The RIFLE classification system offers us an opportunity to standardize and quantify renal injury in donors. Although >10% of brain-deceased donors can suffer AKI, these grafts can perform adequately. Hence, the development of AKI in donors cannot be an isolated criterion to discard kidney donation.
BACKGROUND: The limited supply of deceased donors for renal transplantation led to considering alternative strategies for making more organs available. One of these strategies is the use of donors with renal dysfunction, as this is usually a reversible condition. RIFLE (risk, injury, failure, loss and end-stage renal failure) criteria were developed to standardize the definition and severity of acute kidney injury (AKI) but have not been previously used in brain-deceased donors. We applied the RIFLE classification to evaluate renal function changes in our donor pool, in an attempt to know its influence in transplant outcome. METHODS: Data were collected from the renal transplant patient and the intensive care unit brain-dead donors prospectively maintained databases of our hospital. Risk was defined when creatinine increased x1.5, injury when it increased x2 and failure when last creatinine increased x3 with respect to admission-day creatinine. RESULTS: From 176 donors, 10.8% suffered AKI and 7.9% were included in 'risk', 2.3% in 'injury' and 0.6% in 'failure' categories. There were no significant differences between AKI and non-AKI groups in donor and intensive care management variables, except in last-day creatinine. First-day urine volumes were lower (P = 0.043) and delayed graft function rates were higher (P = 0.013) in the AKI group than in the non-AKI group recipients. Graft survival and other outcome variables were not different between AKI and non-AKI recipients. CONCLUSIONS: The RIFLE classification system offers us an opportunity to standardize and quantify renal injury in donors. Although >10% of brain-deceased donors can suffer AKI, these grafts can perform adequately. Hence, the development of AKI in donors cannot be an isolated criterion to discard kidney donation.
Authors: Isaac E Hall; Enver Akalin; Jonathan S Bromberg; Mona D Doshi; Tom Greene; Meera N Harhay; Yaqi Jia; Sherry G Mansour; Sumit Mohan; Thangamani Muthukumar; Peter P Reese; Bernd Schröppel; Pooja Singh; Heather R Thiessen-Philbrook; Francis L Weng; Chirag R Parikh Journal: Kidney Int Date: 2018-11-20 Impact factor: 10.612
Authors: I E Hall; B Schröppel; M D Doshi; J Ficek; F L Weng; R D Hasz; H Thiessen-Philbrook; P P Reese; C R Parikh Journal: Am J Transplant Date: 2015-03-11 Impact factor: 8.086
Authors: Urs Benck; Peter Schnuelle; Bernd Krüger; Kai Nowak; Thomas Riester; Heiko Mundt; Niklas Lutz; Matthias Jung; Rainer Birck; Bernhard K Krämer; Wilhelm H Schmitt Journal: Int Urol Nephrol Date: 2015-10-26 Impact factor: 2.370
Authors: Jeong Ho Kim; Young Soo Kim; Min Seok Choi; Young Ok Kim; Sun Ae Yoon; Ji-Il Kim; In Sung Moon; Bum Soon Choi; Cheol Whee Park; Chul Woo Yang; Yong-Soo Kim; Byung Ha Chung Journal: BMC Nephrol Date: 2017-01-27 Impact factor: 2.388
Authors: Jana Bauer; Sascha Grzella; Malwina Bialobrzecka; Lea Berger; Timm H Westhoff; Richard Viebahn; Peter Schenker Journal: Ann Transplant Date: 2018-12-07 Impact factor: 1.530