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Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria

Authors :
Cheol Whee Park
In Sung Moon
Young Soo Kim
Byung Ha Chung
Young Ok Kim
Chul Woo Yang
Min Seok Choi
Jeong Ho Kim
Yong-Soo Kim
Sun Ae Yoon
Ji-Il Kim
Bum Soon Choi
Source :
BMC NEPHROLOGY(18), BMC Nephrology
Publisher :
Springer Nature

Abstract

Background Acute kidney injury (AKI) is frequently detected in deceased donors (DDs), and it could be associated with adverse clinical outcomes in corresponding kidney transplant recipients (KTRs). In this regard, we sought to identify which criteria is better between the KDIGO and AKIN criteria for the diagnosis of AKI in DDs in the prediction of clinical outcomes after kidney transplantation (KT). Methods Two hundred eighty-five cases of deceased donor kidney transplantation (DDKT) were included. We divided them into three groups; the non-AKI by both KDIGO and AKIN criteria group (n = 120), the AKI by KDIGO only group (n = 61), and the AKI by both criteria group (n = 104) according to the diagnosis of AKI using the KDIGO and AKIN criteria in the corresponding 205 DDs. We compared the development of delayed graft function (DGF), the change in allograft function, the allograft survival among the three groups. Results The incidence of DGF was significantly higher in the AKI by KDIGO only and the AKI by both criteria groups than in the non-AKI by both criteria group (P 0.05). Therefore, the KDIGO criteria had a better predictive value for DGF occurrence than the AKIN criteria (Area under the curve = 0.72 versus 0.63, P

Details

Language :
English
ISSN :
14712369
Volume :
18
Issue :
1
Database :
OpenAIRE
Journal :
BMC Nephrology
Accession number :
edsair.doi.dedup.....a60134ab2bfcbc6afa0c704f6e5458b3
Full Text :
https://doi.org/10.1186/s12882-017-0461-5