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Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts
After the first year post transplantation, prognostic mortality scores in kidney transplant recipients can be useful for personalizing medical management. We developed a new prognostic score based on 5 parameters and computable at 1-year post transplantation. The outcome was the time between the fir...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859488/ https://www.ncbi.nlm.nih.gov/pubmed/27152510 http://dx.doi.org/10.1371/journal.pone.0155278 |
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author | Lorent, Marine Giral, Magali Pascual, Manuel Koller, Michael T. Steiger, Jürg Trébern-Launay, Katy Legendre, Christophe Kreis, Henri Mourad, Georges Garrigue, Valérie Rostaing, Lionel Kamar, Nassim Kessler, Michèle Ladrière, Marc Morelon, Emmanuel Buron, Fanny Golshayan, Dela Foucher, Yohann |
author_facet | Lorent, Marine Giral, Magali Pascual, Manuel Koller, Michael T. Steiger, Jürg Trébern-Launay, Katy Legendre, Christophe Kreis, Henri Mourad, Georges Garrigue, Valérie Rostaing, Lionel Kamar, Nassim Kessler, Michèle Ladrière, Marc Morelon, Emmanuel Buron, Fanny Golshayan, Dela Foucher, Yohann |
author_sort | Lorent, Marine |
collection | PubMed |
description | After the first year post transplantation, prognostic mortality scores in kidney transplant recipients can be useful for personalizing medical management. We developed a new prognostic score based on 5 parameters and computable at 1-year post transplantation. The outcome was the time between the first anniversary of the transplantation and the patient’s death with a functioning graft. Afterwards, we appraised the prognostic capacities of this score by estimating time-dependent Receiver Operating Characteristic (ROC) curves from two prospective and multicentric European cohorts: the DIVAT (Données Informatisées et VAlidées en Transplantation) cohort composed of patients transplanted between 2000 and 2012 in 6 French centers; and the STCS (Swiss Transplant Cohort Study) cohort composed of patients transplanted between 2008 and 2012 in 6 Swiss centers. We also compared the results with those of two existing scoring systems: one from Spain (Hernandez et al.) and one from the United States (the Recipient Risk Score, RRS, Baskin-Bey et al.). From the DIVAT validation cohort and for a prognostic time at 10 years, the new prognostic score (AUC = 0.78, 95%CI = [0.69, 0.85]) seemed to present significantly higher prognostic capacities than the scoring system proposed by Hernandez et al. (p = 0.04) and tended to perform better than the initial RRS (p = 0.10). By using the Swiss cohort, the RRS and the the new prognostic score had comparable prognostic capacities at 4 years (AUC = 0.77 and 0.76 respectively, p = 0.31). In addition to the current available scores related to the risk to return in dialysis, we recommend to further study the use of the score we propose or the RRS for a more efficient personalized follow-up of kidney transplant recipients. |
format | Online Article Text |
id | pubmed-4859488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48594882016-05-13 Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts Lorent, Marine Giral, Magali Pascual, Manuel Koller, Michael T. Steiger, Jürg Trébern-Launay, Katy Legendre, Christophe Kreis, Henri Mourad, Georges Garrigue, Valérie Rostaing, Lionel Kamar, Nassim Kessler, Michèle Ladrière, Marc Morelon, Emmanuel Buron, Fanny Golshayan, Dela Foucher, Yohann PLoS One Research Article After the first year post transplantation, prognostic mortality scores in kidney transplant recipients can be useful for personalizing medical management. We developed a new prognostic score based on 5 parameters and computable at 1-year post transplantation. The outcome was the time between the first anniversary of the transplantation and the patient’s death with a functioning graft. Afterwards, we appraised the prognostic capacities of this score by estimating time-dependent Receiver Operating Characteristic (ROC) curves from two prospective and multicentric European cohorts: the DIVAT (Données Informatisées et VAlidées en Transplantation) cohort composed of patients transplanted between 2000 and 2012 in 6 French centers; and the STCS (Swiss Transplant Cohort Study) cohort composed of patients transplanted between 2008 and 2012 in 6 Swiss centers. We also compared the results with those of two existing scoring systems: one from Spain (Hernandez et al.) and one from the United States (the Recipient Risk Score, RRS, Baskin-Bey et al.). From the DIVAT validation cohort and for a prognostic time at 10 years, the new prognostic score (AUC = 0.78, 95%CI = [0.69, 0.85]) seemed to present significantly higher prognostic capacities than the scoring system proposed by Hernandez et al. (p = 0.04) and tended to perform better than the initial RRS (p = 0.10). By using the Swiss cohort, the RRS and the the new prognostic score had comparable prognostic capacities at 4 years (AUC = 0.77 and 0.76 respectively, p = 0.31). In addition to the current available scores related to the risk to return in dialysis, we recommend to further study the use of the score we propose or the RRS for a more efficient personalized follow-up of kidney transplant recipients. Public Library of Science 2016-05-06 /pmc/articles/PMC4859488/ /pubmed/27152510 http://dx.doi.org/10.1371/journal.pone.0155278 Text en © 2016 Lorent et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lorent, Marine Giral, Magali Pascual, Manuel Koller, Michael T. Steiger, Jürg Trébern-Launay, Katy Legendre, Christophe Kreis, Henri Mourad, Georges Garrigue, Valérie Rostaing, Lionel Kamar, Nassim Kessler, Michèle Ladrière, Marc Morelon, Emmanuel Buron, Fanny Golshayan, Dela Foucher, Yohann Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title | Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title_full | Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title_fullStr | Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title_full_unstemmed | Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title_short | Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts |
title_sort | mortality prediction after the first year of kidney transplantation: an observational study on two european cohorts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859488/ https://www.ncbi.nlm.nih.gov/pubmed/27152510 http://dx.doi.org/10.1371/journal.pone.0155278 |
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