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Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis

BACKGROUND. Pretransplant interferon-γ enzyme-linked immunospot (IFN-γ ELISPOT) has been proposed as a tool to quantify alloreactive memory T cells and estimate the risk of acute rejection (AR) after kidney transplantation, but studies have been inconclusive so far. We performed a meta-analysis to e...

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Autores principales: Montero, Nuria, Farouk, Samira, Gandolfini, Ilaria, Crespo, Elena, Jarque, Marta, Meneghini, Maria, Torija, Alba, Maggiore, Umberto, Cravedi, Paolo, Bestard, Oriol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511445/
https://www.ncbi.nlm.nih.gov/pubmed/31165086
http://dx.doi.org/10.1097/TXD.0000000000000886
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author Montero, Nuria
Farouk, Samira
Gandolfini, Ilaria
Crespo, Elena
Jarque, Marta
Meneghini, Maria
Torija, Alba
Maggiore, Umberto
Cravedi, Paolo
Bestard, Oriol
author_facet Montero, Nuria
Farouk, Samira
Gandolfini, Ilaria
Crespo, Elena
Jarque, Marta
Meneghini, Maria
Torija, Alba
Maggiore, Umberto
Cravedi, Paolo
Bestard, Oriol
author_sort Montero, Nuria
collection PubMed
description BACKGROUND. Pretransplant interferon-γ enzyme-linked immunospot (IFN-γ ELISPOT) has been proposed as a tool to quantify alloreactive memory T cells and estimate the risk of acute rejection (AR) after kidney transplantation, but studies have been inconclusive so far. We performed a meta-analysis to evaluate the association between pretransplant IFN-γ ELISPOT and AR and assess its predictive accuracy at the individual level. METHODS. We estimated the pooled summary of odds ratio for AR and the joined sensitivity and specificity for predicting AR using random-effects and hierarchical summary receiver-operating characteristic models. We used meta-regression models with the Monte Carlo permutation method to adjust for multiple tests to explain sensitivity and specificity heterogeneity across studies. The meta-analytic estimates of sensitivity and specificity were used to calculate positive and negative predictive values across studies. RESULTS. The analysis included 12 studies and 1181 patients. IFN-γ ELISPOT was significantly associated with increased AR risk (odds ratio: 3.29; 95% confidence interval (CI), 2.34-4.60); hierarchical summary receiver operating characteristic jointly estimated sensitivity and specificity values were 64.9% (95% CI, 53.7%-74.6%) and 65.8% (95% CI, 57.4%-73.5%), respectively, with moderate heterogeneity across studies. After adjusting for multiple testing, meta-regression models showed that thymoglobulin induction, recipient black ethnicity, living versus deceased donors, and geographical location did not affect sensitivity or specificity. Because of the varying AR incidence of the studies, positive and negative predictive values ranged between 16%–60% and 70%–95%, respectively. CONCLUSIONS. Pretransplant IFN-γ ELISPOT is significantly associated with increased risk of AR but provides suboptimal predictive ability at an individual level. Prospective randomized clinical trials are warranted.
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spelling pubmed-65114452019-06-04 Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis Montero, Nuria Farouk, Samira Gandolfini, Ilaria Crespo, Elena Jarque, Marta Meneghini, Maria Torija, Alba Maggiore, Umberto Cravedi, Paolo Bestard, Oriol Transplant Direct Kidney Transplantation BACKGROUND. Pretransplant interferon-γ enzyme-linked immunospot (IFN-γ ELISPOT) has been proposed as a tool to quantify alloreactive memory T cells and estimate the risk of acute rejection (AR) after kidney transplantation, but studies have been inconclusive so far. We performed a meta-analysis to evaluate the association between pretransplant IFN-γ ELISPOT and AR and assess its predictive accuracy at the individual level. METHODS. We estimated the pooled summary of odds ratio for AR and the joined sensitivity and specificity for predicting AR using random-effects and hierarchical summary receiver-operating characteristic models. We used meta-regression models with the Monte Carlo permutation method to adjust for multiple tests to explain sensitivity and specificity heterogeneity across studies. The meta-analytic estimates of sensitivity and specificity were used to calculate positive and negative predictive values across studies. RESULTS. The analysis included 12 studies and 1181 patients. IFN-γ ELISPOT was significantly associated with increased AR risk (odds ratio: 3.29; 95% confidence interval (CI), 2.34-4.60); hierarchical summary receiver operating characteristic jointly estimated sensitivity and specificity values were 64.9% (95% CI, 53.7%-74.6%) and 65.8% (95% CI, 57.4%-73.5%), respectively, with moderate heterogeneity across studies. After adjusting for multiple testing, meta-regression models showed that thymoglobulin induction, recipient black ethnicity, living versus deceased donors, and geographical location did not affect sensitivity or specificity. Because of the varying AR incidence of the studies, positive and negative predictive values ranged between 16%–60% and 70%–95%, respectively. CONCLUSIONS. Pretransplant IFN-γ ELISPOT is significantly associated with increased risk of AR but provides suboptimal predictive ability at an individual level. Prospective randomized clinical trials are warranted. Wolters Kluwer Health 2019-04-25 /pmc/articles/PMC6511445/ /pubmed/31165086 http://dx.doi.org/10.1097/TXD.0000000000000886 Text en Copyright © 2019 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Kidney Transplantation
Montero, Nuria
Farouk, Samira
Gandolfini, Ilaria
Crespo, Elena
Jarque, Marta
Meneghini, Maria
Torija, Alba
Maggiore, Umberto
Cravedi, Paolo
Bestard, Oriol
Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title_full Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title_fullStr Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title_full_unstemmed Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title_short Pretransplant Donor-specific IFNγ ELISPOT as a Predictor of Graft Rejection: A Diagnostic Test Accuracy Meta-analysis
title_sort pretransplant donor-specific ifnγ elispot as a predictor of graft rejection: a diagnostic test accuracy meta-analysis
topic Kidney Transplantation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511445/
https://www.ncbi.nlm.nih.gov/pubmed/31165086
http://dx.doi.org/10.1097/TXD.0000000000000886
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