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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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