Cargando…
Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis
BACKGROUND: Previous qualitative studies suggested that the false negative rate of the T cell spot test for tuberculosis infection (T-SPOT.TB) is associated with many risk factors in tuberculosis patients. However, more precise quantitative studies are lacking. The purpose of this study was to inves...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664742/ https://www.ncbi.nlm.nih.gov/pubmed/31357953 http://dx.doi.org/10.1186/s12879-019-4310-y |
_version_ | 1783439948259524608 |
---|---|
author | Li, Kui Yang, Caiyong Jiang, Zicheng Liu, Shengxi Liu, Jun Fan, Chuanqi Li, Tao Dong, Xuemin |
author_facet | Li, Kui Yang, Caiyong Jiang, Zicheng Liu, Shengxi Liu, Jun Fan, Chuanqi Li, Tao Dong, Xuemin |
author_sort | Li, Kui |
collection | PubMed |
description | BACKGROUND: Previous qualitative studies suggested that the false negative rate of the T cell spot test for tuberculosis infection (T-SPOT.TB) is associated with many risk factors in tuberculosis patients. However, more precise quantitative studies are lacking. The purpose of this study was to investigate the factors affecting quantified spot-forming cells (SFCs) to early secreted antigenic target 6 kDa (ESAT-6) or culture filtrate protein 10 kDa (CFP-10) in patients with active tuberculosis. METHODS: We retrospectively analyzed the data of 360 patients who met the inclusion criteria. Using the SFCs to ESAT-6 or CFP-10 levels as dependent variables, variables with statistical significance in the univariate analysis were subjected to optimal scaling regression analysis. The combination of ESAT-6 and CFP-10 (i.e., T-SPOT.TB) was analyzed by the exact logistic regression model. RESULTS: The results showed that the SFCs to ESAT-6 regression model had statistical significance (P < 0.001) and that previous treatment and CD4+ and platelet counts were its independent risk factors (all P < 0.05). Their importance levels were 0.095, 0.596 and 0.100, respectively, with a total of 0.791. The SFCs to CFP-10 regression model also had statistical significance (P < 0.001); platelet distribution width and alpha-2 globulin were its independent risk factors (all P < 0.05). Their importance levels were 0.287 and 0.247, respectively, with a total of 0.534. The quantification graph showed that quantified SFCs to ESAT-6 or CFP-10 grading had a linear correlation with risk factors. Albumin-globulin ratio, CD4+ and CD8+ were independent risk factors for false negative T-SPOT.TB (all P < 0.05). CONCLUSIONS: In T-SPOT.TB-assisted diagnosis of patients with active tuberculosis, previous treatment, decreased CD4+ and platelet count might lead to the decreased SFCs to ESAT-6, decreased alpha-2 globulin and high platelet distribution width might lead to the decreased SFCs to CFP-10, decreased albumin-globulin ratio, CD4+ and CD8+ might lead to an increase in the false negative rate of the T-SPOT.TB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-019-4310-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6664742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66647422019-08-05 Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis Li, Kui Yang, Caiyong Jiang, Zicheng Liu, Shengxi Liu, Jun Fan, Chuanqi Li, Tao Dong, Xuemin BMC Infect Dis Research Article BACKGROUND: Previous qualitative studies suggested that the false negative rate of the T cell spot test for tuberculosis infection (T-SPOT.TB) is associated with many risk factors in tuberculosis patients. However, more precise quantitative studies are lacking. The purpose of this study was to investigate the factors affecting quantified spot-forming cells (SFCs) to early secreted antigenic target 6 kDa (ESAT-6) or culture filtrate protein 10 kDa (CFP-10) in patients with active tuberculosis. METHODS: We retrospectively analyzed the data of 360 patients who met the inclusion criteria. Using the SFCs to ESAT-6 or CFP-10 levels as dependent variables, variables with statistical significance in the univariate analysis were subjected to optimal scaling regression analysis. The combination of ESAT-6 and CFP-10 (i.e., T-SPOT.TB) was analyzed by the exact logistic regression model. RESULTS: The results showed that the SFCs to ESAT-6 regression model had statistical significance (P < 0.001) and that previous treatment and CD4+ and platelet counts were its independent risk factors (all P < 0.05). Their importance levels were 0.095, 0.596 and 0.100, respectively, with a total of 0.791. The SFCs to CFP-10 regression model also had statistical significance (P < 0.001); platelet distribution width and alpha-2 globulin were its independent risk factors (all P < 0.05). Their importance levels were 0.287 and 0.247, respectively, with a total of 0.534. The quantification graph showed that quantified SFCs to ESAT-6 or CFP-10 grading had a linear correlation with risk factors. Albumin-globulin ratio, CD4+ and CD8+ were independent risk factors for false negative T-SPOT.TB (all P < 0.05). CONCLUSIONS: In T-SPOT.TB-assisted diagnosis of patients with active tuberculosis, previous treatment, decreased CD4+ and platelet count might lead to the decreased SFCs to ESAT-6, decreased alpha-2 globulin and high platelet distribution width might lead to the decreased SFCs to CFP-10, decreased albumin-globulin ratio, CD4+ and CD8+ might lead to an increase in the false negative rate of the T-SPOT.TB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-019-4310-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-29 /pmc/articles/PMC6664742/ /pubmed/31357953 http://dx.doi.org/10.1186/s12879-019-4310-y Text en © The Author(s). 2019 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 Article Li, Kui Yang, Caiyong Jiang, Zicheng Liu, Shengxi Liu, Jun Fan, Chuanqi Li, Tao Dong, Xuemin Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title | Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title_full | Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title_fullStr | Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title_full_unstemmed | Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title_short | Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis |
title_sort | quantitative investigation of factors relevant to the t cell spot test for tuberculosis infection in active tuberculosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664742/ https://www.ncbi.nlm.nih.gov/pubmed/31357953 http://dx.doi.org/10.1186/s12879-019-4310-y |
work_keys_str_mv | AT likui quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT yangcaiyong quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT jiangzicheng quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT liushengxi quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT liujun quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT fanchuanqi quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT litao quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis AT dongxuemin quantitativeinvestigationoffactorsrelevanttothetcellspottestfortuberculosisinfectioninactivetuberculosis |