Cargando…

Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics

BACKGROUND: The new kidney allocation system in the United States has introduced longevity matching, which gives priority to allocating the best quality organs to wait-listed candidates with the longest predicted survival for the efficient utilization of organs that are of limited availability. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Koo, Tai Yeon, Lee, Joongyub, Yang, Jaeseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Transplantation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235339/
https://www.ncbi.nlm.nih.gov/pubmed/35769528
http://dx.doi.org/10.4285/kjt.21.0011
_version_ 1784736294602014720
author Koo, Tai Yeon
Lee, Joongyub
Yang, Jaeseok
author_facet Koo, Tai Yeon
Lee, Joongyub
Yang, Jaeseok
author_sort Koo, Tai Yeon
collection PubMed
description BACKGROUND: The new kidney allocation system in the United States has introduced longevity matching, which gives priority to allocating the best quality organs to wait-listed candidates with the longest predicted survival for the efficient utilization of organs that are of limited availability. The estimated post-transplant survival (EPTS) score was developed in the United States to risk-stratify all wait-listed patients. However, prognostic indices used in Western countries were derived from data that may be different for Korea and do not necessarily reflect prognostic values for Korean deceased donor kidney transplantation. Prognostic indices for Korean wait-listed candidates therefore need to be developed from Korean data. METHODS: We analyzed 6,731 adult solitary kidney transplant patients for candidate risk prediction using the national data from the Korean Network for Organ Sharing (KONOS) and National Health Insurance Data Sharing Service (NHISS). Cox regression analysis was used to model the risk of patient death. RESULTS: The Korean EPTS (K-EPTS) score was developed based on four recipient parameters (age, diabetes mellitus, hepatitis C virus, and duration of dialysis) that showed a significant association with post-transplant survival. K-EPTS scores showed good discrimination (C-statistics 0.690; 95% confidence interval, 0.666–0.715). Moreover, the ability of the K-EPTS score to discriminate patient survival was better than that of the EPTS according to the criteria of the United Network for Organ Sharing (US-EPTS) score (P<0.001). CONCLUSIONS: The K-EPTS score, which was developed based on Korean national data, is expected to contribute to the assessment of recipient prognosis and efficient utilization of deceased donor kidneys.
format Online
Article
Text
id pubmed-9235339
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Korean Society for Transplantation
record_format MEDLINE/PubMed
spelling pubmed-92353392022-06-28 Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics Koo, Tai Yeon Lee, Joongyub Yang, Jaeseok Korean J Transplant Original Article BACKGROUND: The new kidney allocation system in the United States has introduced longevity matching, which gives priority to allocating the best quality organs to wait-listed candidates with the longest predicted survival for the efficient utilization of organs that are of limited availability. The estimated post-transplant survival (EPTS) score was developed in the United States to risk-stratify all wait-listed patients. However, prognostic indices used in Western countries were derived from data that may be different for Korea and do not necessarily reflect prognostic values for Korean deceased donor kidney transplantation. Prognostic indices for Korean wait-listed candidates therefore need to be developed from Korean data. METHODS: We analyzed 6,731 adult solitary kidney transplant patients for candidate risk prediction using the national data from the Korean Network for Organ Sharing (KONOS) and National Health Insurance Data Sharing Service (NHISS). Cox regression analysis was used to model the risk of patient death. RESULTS: The Korean EPTS (K-EPTS) score was developed based on four recipient parameters (age, diabetes mellitus, hepatitis C virus, and duration of dialysis) that showed a significant association with post-transplant survival. K-EPTS scores showed good discrimination (C-statistics 0.690; 95% confidence interval, 0.666–0.715). Moreover, the ability of the K-EPTS score to discriminate patient survival was better than that of the EPTS according to the criteria of the United Network for Organ Sharing (US-EPTS) score (P<0.001). CONCLUSIONS: The K-EPTS score, which was developed based on Korean national data, is expected to contribute to the assessment of recipient prognosis and efficient utilization of deceased donor kidneys. The Korean Society for Transplantation 2021-06-30 2021-06-30 /pmc/articles/PMC9235339/ /pubmed/35769528 http://dx.doi.org/10.4285/kjt.21.0011 Text en Copyright © 2021 The Korean Society for Transplantation https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Koo, Tai Yeon
Lee, Joongyub
Yang, Jaeseok
Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title_full Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title_fullStr Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title_full_unstemmed Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title_short Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
title_sort development of predictive score for post-transplant survival based on pre-transplant recipient characteristics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235339/
https://www.ncbi.nlm.nih.gov/pubmed/35769528
http://dx.doi.org/10.4285/kjt.21.0011
work_keys_str_mv AT kootaiyeon developmentofpredictivescoreforposttransplantsurvivalbasedonpretransplantrecipientcharacteristics
AT leejoongyub developmentofpredictivescoreforposttransplantsurvivalbasedonpretransplantrecipientcharacteristics
AT yangjaeseok developmentofpredictivescoreforposttransplantsurvivalbasedonpretransplantrecipientcharacteristics