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Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test
Interferon-γ release assay (IGRA) is a widely used blood test for detecting TB infection. However, a positive result of IGRA cannot differentiate active tuberculosis (ATB) infection from inactive tuberculosis (IATB). In this study, we established a nomogram model for predictive risk of ATB, differen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366187/ https://www.ncbi.nlm.nih.gov/pubmed/37488139 http://dx.doi.org/10.1038/s41598-023-38900-5 |
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author | Wang, Qiang Zhu, Fengdan Cai, Yanjuan Zhu, Tao Lu, Xiaolan |
author_facet | Wang, Qiang Zhu, Fengdan Cai, Yanjuan Zhu, Tao Lu, Xiaolan |
author_sort | Wang, Qiang |
collection | PubMed |
description | Interferon-γ release assay (IGRA) is a widely used blood test for detecting TB infection. However, a positive result of IGRA cannot differentiate active tuberculosis (ATB) infection from inactive tuberculosis (IATB). In this study, we established a nomogram model for predictive risk of ATB, differentiated from IATB, based on the concentration of interferon-γ (IFN-γ) of QuantiFERON-TB Gold In-Tube Test (QFT-GIT) and clinical characteristics. Participants with a positive QFT-GIT result were recruited and divided into a training and validation cohort according to hospitalisation date. The nomogram model for the differential diagnosis of ATB from IATB was established according to gender, age, pleural effusion (PE), and the concentration of IFN-γ in the Nil, TB antigen, and mitogen tube of QFT-GIT in the training cohort by logistic regression and validated in the validation cohort, and then combined with adenosine deaminase (ADA) to evaluated the performance value in ATB cases with PE. The area under receiver operating characteristic curve (AUC) of the diagnostic nomogram model, which we called the NSMC-ATB model for ATB diagnosis was 0.819 (95% CI 0.797–0.841), with sensitivity 73.16% and specificity 75.95% in training cohort, and AUC was 0.785 (95% CI 0.744–0.827), with sensitivity 67.44% and specificity 75.14% in validation cohort. A combination of the NSMC-ATB model and ADA performed better than the NSMC-ATB model and ADA alone in predicting ATB cases with PE, as AUC was 0.903 (95% CI 0.856–0.950) with sensitivity 78.63% and specificity 87.50%. We established an effective diagnostic nomogram model, called the NSMC-ATB model to differentiate ATB from IATB. Meanwhile, the combination of the NSMC-ATB model and ADA improved the performance value of ATB with PE. |
format | Online Article Text |
id | pubmed-10366187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103661872023-07-26 Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test Wang, Qiang Zhu, Fengdan Cai, Yanjuan Zhu, Tao Lu, Xiaolan Sci Rep Article Interferon-γ release assay (IGRA) is a widely used blood test for detecting TB infection. However, a positive result of IGRA cannot differentiate active tuberculosis (ATB) infection from inactive tuberculosis (IATB). In this study, we established a nomogram model for predictive risk of ATB, differentiated from IATB, based on the concentration of interferon-γ (IFN-γ) of QuantiFERON-TB Gold In-Tube Test (QFT-GIT) and clinical characteristics. Participants with a positive QFT-GIT result were recruited and divided into a training and validation cohort according to hospitalisation date. The nomogram model for the differential diagnosis of ATB from IATB was established according to gender, age, pleural effusion (PE), and the concentration of IFN-γ in the Nil, TB antigen, and mitogen tube of QFT-GIT in the training cohort by logistic regression and validated in the validation cohort, and then combined with adenosine deaminase (ADA) to evaluated the performance value in ATB cases with PE. The area under receiver operating characteristic curve (AUC) of the diagnostic nomogram model, which we called the NSMC-ATB model for ATB diagnosis was 0.819 (95% CI 0.797–0.841), with sensitivity 73.16% and specificity 75.95% in training cohort, and AUC was 0.785 (95% CI 0.744–0.827), with sensitivity 67.44% and specificity 75.14% in validation cohort. A combination of the NSMC-ATB model and ADA performed better than the NSMC-ATB model and ADA alone in predicting ATB cases with PE, as AUC was 0.903 (95% CI 0.856–0.950) with sensitivity 78.63% and specificity 87.50%. We established an effective diagnostic nomogram model, called the NSMC-ATB model to differentiate ATB from IATB. Meanwhile, the combination of the NSMC-ATB model and ADA improved the performance value of ATB with PE. Nature Publishing Group UK 2023-07-24 /pmc/articles/PMC10366187/ /pubmed/37488139 http://dx.doi.org/10.1038/s41598-023-38900-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Qiang Zhu, Fengdan Cai, Yanjuan Zhu, Tao Lu, Xiaolan Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title | Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title_full | Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title_fullStr | Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title_full_unstemmed | Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title_short | Nomogram to determine predictive risk for active tuberculosis based on the QuantiFERON-TB Gold In-Tube test |
title_sort | nomogram to determine predictive risk for active tuberculosis based on the quantiferon-tb gold in-tube test |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366187/ https://www.ncbi.nlm.nih.gov/pubmed/37488139 http://dx.doi.org/10.1038/s41598-023-38900-5 |
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