Cargando…

T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data

BACKGROUND: Although interferon-gamma release assays (IGRA) are promising alternatives to the tuberculin skin test, interpretation of repeated testing results is hampered by lack of evidence on optimal cut-offs for conversions and reversions. A logical start is to determine the within-person variabi...

Descripción completa

Detalles Bibliográficos
Autores principales: Veerapathran, Anandharaman, Joshi, Rajnish, Goswami, Kalyan, Dogra, Sandeep, Moodie, Erica E. M., Reddy, M. V. R., Kalantri, Shriprakash, Schwartzman, Kevin, Behr, Marcel A., Menzies, Dick, Pai, Madhukar
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266993/
https://www.ncbi.nlm.nih.gov/pubmed/18365006
http://dx.doi.org/10.1371/journal.pone.0001850
_version_ 1782151590845612032
author Veerapathran, Anandharaman
Joshi, Rajnish
Goswami, Kalyan
Dogra, Sandeep
Moodie, Erica E. M.
Reddy, M. V. R.
Kalantri, Shriprakash
Schwartzman, Kevin
Behr, Marcel A.
Menzies, Dick
Pai, Madhukar
author_facet Veerapathran, Anandharaman
Joshi, Rajnish
Goswami, Kalyan
Dogra, Sandeep
Moodie, Erica E. M.
Reddy, M. V. R.
Kalantri, Shriprakash
Schwartzman, Kevin
Behr, Marcel A.
Menzies, Dick
Pai, Madhukar
author_sort Veerapathran, Anandharaman
collection PubMed
description BACKGROUND: Although interferon-gamma release assays (IGRA) are promising alternatives to the tuberculin skin test, interpretation of repeated testing results is hampered by lack of evidence on optimal cut-offs for conversions and reversions. A logical start is to determine the within-person variability of T-cell responses during serial testing. METHODOLOGY/PRINCIPAL FINDINGS: We performed a pilot study in India, to evaluate the short-term reproducibility of QuantiFERON-TB Gold In Tube assay (QFT) among 14 healthcare workers (HCWs) who underwent 4 serial QFT tests on day 0, 3, 9 and 12. QFT ELISA was repeated twice on the same sets of specimens. We assessed two types of reproducibility: 1) test-retest reproducibility (between-test variability), and 2) within-person reproducibility over time. Test-retest reproducibility: with dichotomous test results, extremely high concordance was noticed between two tests performed on the same sets of specimens: of the 56 samples, the test and re-test results agreed for all but 2 individuals (κ = 0.94). Discordance was noted in subjects who had IFN-γ values around the cut-off point, with both increases and decreases noted. With continuous IFN-γ results, re-test results tended to produce higher estimates of IFN-γ than the original test. Within-person reproducibility: when continuous IFN-γ data were analyzed, the within-person reproducibility was moderate to high. While persons with negative QFT results generally stayed negative, positive results tended to vary over time. Our data showed that increases of more than 16% in the IFN-γ levels are statistically improbable in the short-term. CONCLUSIONS: Conservatively assuming that long-term variability might be at least twice higher than short-term, we hypothesize that a QFT conversion requires two conditions to be met: 1) change from negative to positive result, and 2) at least 30% increase in the baseline IFN-γ response. Larger studies are needed to confirm our preliminary findings, and determine the conversion thresholds for IGRAs.
format Text
id pubmed-2266993
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-22669932008-03-26 T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data Veerapathran, Anandharaman Joshi, Rajnish Goswami, Kalyan Dogra, Sandeep Moodie, Erica E. M. Reddy, M. V. R. Kalantri, Shriprakash Schwartzman, Kevin Behr, Marcel A. Menzies, Dick Pai, Madhukar PLoS One Research Article BACKGROUND: Although interferon-gamma release assays (IGRA) are promising alternatives to the tuberculin skin test, interpretation of repeated testing results is hampered by lack of evidence on optimal cut-offs for conversions and reversions. A logical start is to determine the within-person variability of T-cell responses during serial testing. METHODOLOGY/PRINCIPAL FINDINGS: We performed a pilot study in India, to evaluate the short-term reproducibility of QuantiFERON-TB Gold In Tube assay (QFT) among 14 healthcare workers (HCWs) who underwent 4 serial QFT tests on day 0, 3, 9 and 12. QFT ELISA was repeated twice on the same sets of specimens. We assessed two types of reproducibility: 1) test-retest reproducibility (between-test variability), and 2) within-person reproducibility over time. Test-retest reproducibility: with dichotomous test results, extremely high concordance was noticed between two tests performed on the same sets of specimens: of the 56 samples, the test and re-test results agreed for all but 2 individuals (κ = 0.94). Discordance was noted in subjects who had IFN-γ values around the cut-off point, with both increases and decreases noted. With continuous IFN-γ results, re-test results tended to produce higher estimates of IFN-γ than the original test. Within-person reproducibility: when continuous IFN-γ data were analyzed, the within-person reproducibility was moderate to high. While persons with negative QFT results generally stayed negative, positive results tended to vary over time. Our data showed that increases of more than 16% in the IFN-γ levels are statistically improbable in the short-term. CONCLUSIONS: Conservatively assuming that long-term variability might be at least twice higher than short-term, we hypothesize that a QFT conversion requires two conditions to be met: 1) change from negative to positive result, and 2) at least 30% increase in the baseline IFN-γ response. Larger studies are needed to confirm our preliminary findings, and determine the conversion thresholds for IGRAs. Public Library of Science 2008-03-26 /pmc/articles/PMC2266993/ /pubmed/18365006 http://dx.doi.org/10.1371/journal.pone.0001850 Text en Veerapathran 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Veerapathran, Anandharaman
Joshi, Rajnish
Goswami, Kalyan
Dogra, Sandeep
Moodie, Erica E. M.
Reddy, M. V. R.
Kalantri, Shriprakash
Schwartzman, Kevin
Behr, Marcel A.
Menzies, Dick
Pai, Madhukar
T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title_full T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title_fullStr T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title_full_unstemmed T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title_short T-Cell Assays for Tuberculosis Infection: Deriving Cut-Offs for Conversions Using Reproducibility Data
title_sort t-cell assays for tuberculosis infection: deriving cut-offs for conversions using reproducibility data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266993/
https://www.ncbi.nlm.nih.gov/pubmed/18365006
http://dx.doi.org/10.1371/journal.pone.0001850
work_keys_str_mv AT veerapathrananandharaman tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT joshirajnish tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT goswamikalyan tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT dograsandeep tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT moodieericaem tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT reddymvr tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT kalantrishriprakash tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT schwartzmankevin tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT behrmarcela tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT menziesdick tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata
AT paimadhukar tcellassaysfortuberculosisinfectionderivingcutoffsforconversionsusingreproducibilitydata