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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

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 fo...

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Autores principales: Kim, Jeong Ho, Kim, Young Soo, Choi, Min Seok, Kim, Young Ok, Yoon, Sun Ae, Kim, Ji-Il, Moon, In Sung, Choi, Bum Soon, Park, Cheol Whee, Yang, Chul Woo, Kim, Yong-Soo, Chung, Byung Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5273789/
https://www.ncbi.nlm.nih.gov/pubmed/28129763
http://dx.doi.org/10.1186/s12882-017-0461-5
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author Kim, Jeong Ho
Kim, Young Soo
Choi, Min Seok
Kim, Young Ok
Yoon, Sun Ae
Kim, Ji-Il
Moon, In Sung
Choi, Bum Soon
Park, Cheol Whee
Yang, Chul Woo
Kim, Yong-Soo
Chung, Byung Ha
author_facet Kim, Jeong Ho
Kim, Young Soo
Choi, Min Seok
Kim, Young Ok
Yoon, Sun Ae
Kim, Ji-Il
Moon, In Sung
Choi, Bum Soon
Park, Cheol Whee
Yang, Chul Woo
Kim, Yong-Soo
Chung, Byung Ha
author_sort Kim, Jeong Ho
collection PubMed
description 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 each). But no difference was detected between the AKI by KDIGO only group and the 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 < 0.05) in Receiver Operation Characteristic analysis. On comparison of allograft function, the AKI by KDIGO only and the AKI by both criteria groups showed a significantly deteriorating pattern by 6 months after KT in comparison with the non-AKI by both criteria group (P < 0.05). However, the differences disappeared at 1 year from KT and long-term allograft survival did not differ among the three groups. AKI stage either by KDIGO or AKIN in DDs did not affect long-term allograft survival in corresponding KTRs as well. CONCLUSIONS: The KDIGO criteria may be more useful for predicting DGF than the AKIN criteria. However, AKI or AKI stage by either criteria in DDs failed to affect long-term allograft outcomes in KTRs.
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spelling pubmed-52737892017-02-01 Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria Kim, Jeong Ho Kim, Young Soo Choi, Min Seok Kim, Young Ok Yoon, Sun Ae Kim, Ji-Il Moon, In Sung Choi, Bum Soon Park, Cheol Whee Yang, Chul Woo Kim, Yong-Soo Chung, Byung Ha BMC Nephrol Research Article 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 each). But no difference was detected between the AKI by KDIGO only group and the 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 < 0.05) in Receiver Operation Characteristic analysis. On comparison of allograft function, the AKI by KDIGO only and the AKI by both criteria groups showed a significantly deteriorating pattern by 6 months after KT in comparison with the non-AKI by both criteria group (P < 0.05). However, the differences disappeared at 1 year from KT and long-term allograft survival did not differ among the three groups. AKI stage either by KDIGO or AKIN in DDs did not affect long-term allograft survival in corresponding KTRs as well. CONCLUSIONS: The KDIGO criteria may be more useful for predicting DGF than the AKIN criteria. However, AKI or AKI stage by either criteria in DDs failed to affect long-term allograft outcomes in KTRs. BioMed Central 2017-01-27 /pmc/articles/PMC5273789/ /pubmed/28129763 http://dx.doi.org/10.1186/s12882-017-0461-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kim, Jeong Ho
Kim, Young Soo
Choi, Min Seok
Kim, Young Ok
Yoon, Sun Ae
Kim, Ji-Il
Moon, In Sung
Choi, Bum Soon
Park, Cheol Whee
Yang, Chul Woo
Kim, Yong-Soo
Chung, Byung Ha
Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title_full Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title_fullStr Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title_full_unstemmed Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title_short Prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the KDIGO and AKIN criteria
title_sort prediction of clinical outcomes after kidney transplantation from deceased donors with acute kidney injury: a comparison of the kdigo and akin criteria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5273789/
https://www.ncbi.nlm.nih.gov/pubmed/28129763
http://dx.doi.org/10.1186/s12882-017-0461-5
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