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Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation

BACKGROUND: Post-transplant lymphoproliferative disorder (PTLD) adversely affects patients’ long-term outcome. METHODS: The paired t test and McNemar’s test were applied in a retrospective 1:1 matched-pair analysis including 36 patients with PTLD and 36 patients without PTLD after kidney or liver tr...

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Autores principales: Rausch, Lisa, Koenecke, Christian, Koch, Hans-Friedrich, Kaltenborn, Alexander, Emmanouilidis, Nikos, Pape, Lars, Lehner, Frank, Arelin, Viktor, Baumann, Ulrich, Schrem, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970231/
https://www.ncbi.nlm.nih.gov/pubmed/27486513
http://dx.doi.org/10.1186/s13737-016-0036-1
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author Rausch, Lisa
Koenecke, Christian
Koch, Hans-Friedrich
Kaltenborn, Alexander
Emmanouilidis, Nikos
Pape, Lars
Lehner, Frank
Arelin, Viktor
Baumann, Ulrich
Schrem, Harald
author_facet Rausch, Lisa
Koenecke, Christian
Koch, Hans-Friedrich
Kaltenborn, Alexander
Emmanouilidis, Nikos
Pape, Lars
Lehner, Frank
Arelin, Viktor
Baumann, Ulrich
Schrem, Harald
author_sort Rausch, Lisa
collection PubMed
description BACKGROUND: Post-transplant lymphoproliferative disorder (PTLD) adversely affects patients’ long-term outcome. METHODS: The paired t test and McNemar’s test were applied in a retrospective 1:1 matched-pair analysis including 36 patients with PTLD and 36 patients without PTLD after kidney or liver transplantation. Matching criteria were age, gender, indication, type of transplantation, and duration of follow-up. All investigated PTLD specimen were histologically positive for EBV. Risk-adjusted multivariable regression analysis was used to identify independence of risk factors for PTLD detected in matched-pair analysis. The resultant prognostic model was assessed with ROC-curve analysis. RESULTS: Patients suffering with PTLD had shorter mean survival (p = 0.004), more episodes of CMV infections or reactivations (p = 0.042), and fewer recipient HLA A2 haplotypes (p = 0.007), a tacrolimus-based immunosuppressive regimen (p = 0.052) and higher dosages of tacrolimus at hospital discharge (Tac dosage) (p = 0.052). Significant independent risk factors for PTLD were recipient HLA A2 (OR = 0.07, 95 % CI = 0.01–0.55, p = 0.011), higher Tac dosages (OR = 1.29, 95 % CI = 1.01–1.64, p = 0.040), and higher numbers of graft rejection episodes (OR = 0.38, 95 % CI = 0.17–0.87, p = 0.023). The following prognostic model for the prediction of PTLD demonstrated good model fit and a large area under the ROC curve (0.823): PTLD probability in % = Exp(y)/(1 + Exp(y)) with y = 0.671 − 1.096 × HLA A2-positive recipient + 0.151 × Tac dosage − 0.805 × number of graft rejection episodes. CONCLUSIONS: This study suggests prognostic relevance for recipient HLA A2, CMV, and EBV infections or reactivations and strong initial tacrolimus-based immunosuppression. Patients with risk factors may benefit from intensified screening for PTLD.
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spelling pubmed-49702312016-08-03 Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation Rausch, Lisa Koenecke, Christian Koch, Hans-Friedrich Kaltenborn, Alexander Emmanouilidis, Nikos Pape, Lars Lehner, Frank Arelin, Viktor Baumann, Ulrich Schrem, Harald Transplant Res Research BACKGROUND: Post-transplant lymphoproliferative disorder (PTLD) adversely affects patients’ long-term outcome. METHODS: The paired t test and McNemar’s test were applied in a retrospective 1:1 matched-pair analysis including 36 patients with PTLD and 36 patients without PTLD after kidney or liver transplantation. Matching criteria were age, gender, indication, type of transplantation, and duration of follow-up. All investigated PTLD specimen were histologically positive for EBV. Risk-adjusted multivariable regression analysis was used to identify independence of risk factors for PTLD detected in matched-pair analysis. The resultant prognostic model was assessed with ROC-curve analysis. RESULTS: Patients suffering with PTLD had shorter mean survival (p = 0.004), more episodes of CMV infections or reactivations (p = 0.042), and fewer recipient HLA A2 haplotypes (p = 0.007), a tacrolimus-based immunosuppressive regimen (p = 0.052) and higher dosages of tacrolimus at hospital discharge (Tac dosage) (p = 0.052). Significant independent risk factors for PTLD were recipient HLA A2 (OR = 0.07, 95 % CI = 0.01–0.55, p = 0.011), higher Tac dosages (OR = 1.29, 95 % CI = 1.01–1.64, p = 0.040), and higher numbers of graft rejection episodes (OR = 0.38, 95 % CI = 0.17–0.87, p = 0.023). The following prognostic model for the prediction of PTLD demonstrated good model fit and a large area under the ROC curve (0.823): PTLD probability in % = Exp(y)/(1 + Exp(y)) with y = 0.671 − 1.096 × HLA A2-positive recipient + 0.151 × Tac dosage − 0.805 × number of graft rejection episodes. CONCLUSIONS: This study suggests prognostic relevance for recipient HLA A2, CMV, and EBV infections or reactivations and strong initial tacrolimus-based immunosuppression. Patients with risk factors may benefit from intensified screening for PTLD. BioMed Central 2016-08-02 /pmc/articles/PMC4970231/ /pubmed/27486513 http://dx.doi.org/10.1186/s13737-016-0036-1 Text en © The Author(s). 2016 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
Rausch, Lisa
Koenecke, Christian
Koch, Hans-Friedrich
Kaltenborn, Alexander
Emmanouilidis, Nikos
Pape, Lars
Lehner, Frank
Arelin, Viktor
Baumann, Ulrich
Schrem, Harald
Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title_full Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title_fullStr Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title_full_unstemmed Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title_short Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation
title_sort matched-pair analysis: identification of factors with independent influence on the development of ptld after kidney or liver transplantation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970231/
https://www.ncbi.nlm.nih.gov/pubmed/27486513
http://dx.doi.org/10.1186/s13737-016-0036-1
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