Literature DB >> 21293103

Adapted T cell interferon-gamma release assay for the diagnosis of pleural tuberculosis.

Gungor Ates1, Tekin Yildiz, Mediha Gonenc Ortakoylu, Tuncer Ozekinci, Baykal Erturk, Levent Akyildiz, Emel Caglar.   

Abstract

BACKGROUND: Better and more rapid tests are needed for the diagnosis of tuberculous pleural effusion (TPE), given the known limitations of conventional diagnostic tests.
OBJECTIVES: To estimate diagnostic accuracy of the QuantiFERON-TB Gold In-Tube (QFT-GIT) test (and its components) using data-derived cutoffs in pleural fluid.
METHODS: The QFT-GIT test was performed on whole blood and pleural fluid from 43 patients with TPE and 29 control subjects (non-TPE). To achieve the objective, QFT-GIT test, estimating likelihood ratios and receiver operating curve analysis were performed.
RESULTS: The sensitivity and specificity using the QFT-GIT for the diagnosis of TPE were 48.8% and 79.3%, respectively, in pleural fluid. The best cutoff points for tuberculosis (TB) antigen, nil and TB antigen minus nil results were estimated at 0.70, 0.90 and 0.30 IU/ml, respectively. Area under the curve of TB antigen IFN-γ response was 0.86 (CI: 0.76-0.93), nil tube was 0.80 (CI: 0.69-0.89) and TB antigen minus nil tube was 0.82 (CI: 0.72-0.90). When the best cutoff scores of the nil tubes were set at this value, the results of a likelihood ratio of a positive and a negative test were 9.44 (7.4-12.0) and 0.37 (0.09-1.5), respectively. The percentages of indeterminate results in pleural fluid among the TPE cases were 42% (most of them caused by high nil IFN-γ values) using the QFT-GIT test.
CONCLUSION: QFT-GIT test or its components have poor accuracy in the diagnosis of TPE, largely because of a high number of indeterminate results due to high background IFN-γ production in the TPE.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21293103     DOI: 10.1159/000323184

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  7 in total

Review 1.  Interferon Gamma Release Assays for Diagnosis of Pleural Tuberculosis: a Systematic Review and Meta-Analysis.

Authors:  Ashutosh N Aggarwal; Ritesh Agarwal; Dheeraj Gupta; Sahajal Dhooria; Digambar Behera
Journal:  J Clin Microbiol       Date:  2015-05-20       Impact factor: 5.948

2.  A 30-year-old female Behçet's disease patient with recurrent pleural and pericardial effusion and elevated adenosine deaminase levels: case report.

Authors:  Joon Young Choi; Sung-Hwan Kim; Seung-Ki Kwok; Jung Im Jung; Kyo-Young Lee; Tae-Jung Kim; Ji Young Kang
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

3.  Clinical Utility of Two Interferon-gamma Release Assays on Pleural Fluid for the Diagnosis of Tuberculous Pleurisy.

Authors:  Ji Young Kang; Chin Kook Rhee; Na Hyun Kang; Ju Sang Kim; Hyoung-Kyu Yoon; Jeong Sup Song
Journal:  Tuberc Respir Dis (Seoul)       Date:  2012-09-28

4.  Accuracy of the interferon-gamma release assay for the diagnosis of tuberculous pleurisy: an updated meta-analysis.

Authors:  Cai-Shuang Pang; Yong-Chun Shen; Pan-Wen Tian; Jing Zhu; Mei Feng; Chun Wan; Fu-Qiang Wen
Journal:  PeerJ       Date:  2015-05-21       Impact factor: 2.984

5.  A combination of the QuantiFERON-TB Gold In-Tube assay and the detection of adenosine deaminase improves the diagnosis of tuberculous pleural effusion.

Authors:  Yuanyuan Liu; Qinfang Ou; Jian Zheng; Lei Shen; Bingyan Zhang; Xinhua Weng; Lingyun Shao; Yan Gao; Wenhong Zhang
Journal:  Emerg Microbes Infect       Date:  2016-08-03       Impact factor: 7.163

Review 6.  Body Fluid Interferon-γ Release Assay for Diagnosis of Extrapulmonary Tuberculosis in Adults: A Systematic Review and Meta-Analysis.

Authors:  Xiao-Xia Zhou; Ya-Lan Liu; Kan Zhai; Huan-Zhong Shi; Zhao-Hui Tong
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

7.  Serial anti-tuberculous immune responses during the follow-up of patients with tuberculous pleurisy.

Authors:  Bing-Yan Zhang; Zhi-Min Yu; Qing-Luan Yang; Qian-Qian Liu; Hua-Xin Chen; Jing Wu; Sen Wang; Ling-Yun Shao; Xin-Hua Weng; Qin-Fang Ou; Yan Gao; Wen-Hong Zhang
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.817

  7 in total

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