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Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables
PURPOSE: The widening gap between demand and supply of organs for transplantation provides extraordinary challenges for ethical donor organ allocation rules. The transplant community is forced to define favorable recipient/donor combinations for simultaneous kidney-pancreas transplantation. The aim...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244698/ https://www.ncbi.nlm.nih.gov/pubmed/30338375 http://dx.doi.org/10.1007/s00423-018-1712-z |
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author | Zorn, Katharina S. Littbarski, Simon Schwager, Ysabell Kaltenborn, Alexander Beneke, Jan Gwiasda, Jill Becker, Thomas Braun, Felix Reichert, Benedikt Klempnauer, Jürgen Schrem, Harald |
author_facet | Zorn, Katharina S. Littbarski, Simon Schwager, Ysabell Kaltenborn, Alexander Beneke, Jan Gwiasda, Jill Becker, Thomas Braun, Felix Reichert, Benedikt Klempnauer, Jürgen Schrem, Harald |
author_sort | Zorn, Katharina S. |
collection | PubMed |
description | PURPOSE: The widening gap between demand and supply of organs for transplantation provides extraordinary challenges for ethical donor organ allocation rules. The transplant community is forced to define favorable recipient/donor combinations for simultaneous kidney-pancreas transplantation. The aim of this study is the development of a prognostic model for the prediction of kidney function 1 year after simultaneous pancreas and kidney transplantation using pre-transplant donor and recipient variables with subsequent internal and external validation. METHODS: Included were patients with end-stage renal failure due to diabetic nephropathy. Multivariable logistic regression modeling was applied for prognostic model design with retrospective data from Hannover Medical School, Germany (01.01.2000–31.12.2011) followed by prospective internal validation (01 Jan. 2012–31 Dec. 2015). Retrospective data from another German transplant center in Kiel was retrieved for external model validation via the initially derived logit link function. RESULTS: The developed prognostic model is able to predict kidney graft function 1 year after transplantation ≥ KDIGO stage III with high areas under the receiver operating characteristic curve in the development cohort (0.943) as well as the internal (0.807) and external validation cohorts (0.784). CONCLUSION: The proposed validated model is a valuable tool to optimize present allocation rules with the goal to prevent transplant futility. It might be used to support donor organ acceptance decisions for individual recipients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00423-018-1712-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6244698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-62446982018-12-04 Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables Zorn, Katharina S. Littbarski, Simon Schwager, Ysabell Kaltenborn, Alexander Beneke, Jan Gwiasda, Jill Becker, Thomas Braun, Felix Reichert, Benedikt Klempnauer, Jürgen Schrem, Harald Langenbecks Arch Surg Original Article PURPOSE: The widening gap between demand and supply of organs for transplantation provides extraordinary challenges for ethical donor organ allocation rules. The transplant community is forced to define favorable recipient/donor combinations for simultaneous kidney-pancreas transplantation. The aim of this study is the development of a prognostic model for the prediction of kidney function 1 year after simultaneous pancreas and kidney transplantation using pre-transplant donor and recipient variables with subsequent internal and external validation. METHODS: Included were patients with end-stage renal failure due to diabetic nephropathy. Multivariable logistic regression modeling was applied for prognostic model design with retrospective data from Hannover Medical School, Germany (01.01.2000–31.12.2011) followed by prospective internal validation (01 Jan. 2012–31 Dec. 2015). Retrospective data from another German transplant center in Kiel was retrieved for external model validation via the initially derived logit link function. RESULTS: The developed prognostic model is able to predict kidney graft function 1 year after transplantation ≥ KDIGO stage III with high areas under the receiver operating characteristic curve in the development cohort (0.943) as well as the internal (0.807) and external validation cohorts (0.784). CONCLUSION: The proposed validated model is a valuable tool to optimize present allocation rules with the goal to prevent transplant futility. It might be used to support donor organ acceptance decisions for individual recipients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00423-018-1712-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-10-18 2018 /pmc/articles/PMC6244698/ /pubmed/30338375 http://dx.doi.org/10.1007/s00423-018-1712-z Text en © The Author(s) 2018 Open Access This 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. |
spellingShingle | Original Article Zorn, Katharina S. Littbarski, Simon Schwager, Ysabell Kaltenborn, Alexander Beneke, Jan Gwiasda, Jill Becker, Thomas Braun, Felix Reichert, Benedikt Klempnauer, Jürgen Schrem, Harald Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title | Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title_full | Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title_fullStr | Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title_full_unstemmed | Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title_short | Development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
title_sort | development and validation of a prognostic model for kidney function 1 year after combined pancreas and kidney transplantation using pre-transplant donor and recipient variables |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244698/ https://www.ncbi.nlm.nih.gov/pubmed/30338375 http://dx.doi.org/10.1007/s00423-018-1712-z |
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