Literature DB >> 33680977

Performance of Interferon-Gamma Release Assays in the Diagnosis of Nontuberculous Mycobacterial Diseases-A Retrospective Survey From 2011 to 2019.

Chi Yang1, Xuejiao Luo1, Lin Fan1, Wei Sha1, Heping Xiao1, Haiyan Cui1.   

Abstract

There is an urgent need for precise diagnosis to distinguish nontuberculous mycobacterial (NTM) diseases from pulmonary tuberculosis (PTB) and other respiratory diseases. The aim of this study is to evaluate the diagnostic performance of Interferon-gamma (IFN-γ) release assays (IGRAs), including antigen-specific peripheral blood-based quantitative T cell assay (T-SPOT.TB) and QuantiFERON-TB-Gold-Test (QFT-G), in differentiating NTM infections (N = 1,407) from culture-confirmed PTB (N = 1,828) and other respiratory diseases (N = 2,652). At specie level, 2.56%, 10.73%, and 16.49% of NTM-infected patients were infected by Mycobacterium kansasii, M. abscessus, and with M. avmm-intracellulare complex (MAC), respectively. Valid analyses of T-SPOT.TB (ESAT-6, CFP-10) and QFT-G were available for 37.03% and 85.79% in NTM-infected patients, including zero and 100% (36/36) of M. kansasii infection, 21.85% (33/151) and 92.05% (139/151) of M. abscessus infection, and 17.67% (41/232) and 91.24% (211/232) of MAC infection. Based on means comparisons and further ROC analysis, T-SPOT.TB and QFT-G performed moderate accuracy when discriminating NTM from PTB at modified cut-off values (ESAT-6 < 4 SFCs, CFP-10 < 3 SFCs, and QFT-G < 0.667 IU/ml), with corresponding AUC values of 0.7560, 0.7699, and 0.856. At species level of NTM, QFT-G effectively distinguished between MAC (AUC=0.8778), M. kansasii (AUC=0.8834) or M. abscessus (AUC=0.8783) than T-SPOT.TB. No significant differences in discriminatory power of these three IGRA tools were observed when differentiating NTM and Controls. Our results demonstrated that T-SPOT.TB and QFT-G were both efficient methods for differentiating NTM disease from PTB, and QFT-G possessed sufficient discriminatory power to distinguish infections by different NTM species.
Copyright © 2021 Yang, Luo, Fan, Sha, Xiao and Cui.

Entities:  

Keywords:  IGRAs; NTM disease; QFT-G; T-SPOT.TB.; diagnose performance

Year:  2021        PMID: 33680977      PMCID: PMC7930076          DOI: 10.3389/fcimb.2020.571230

Source DB:  PubMed          Journal:  Front Cell Infect Microbiol        ISSN: 2235-2988            Impact factor:   5.293


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Review 3.  British Thoracic Society guidelines for the management of non-tuberculous mycobacterial pulmonary disease (NTM-PD).

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7.  Routine use of Gen-Probe Amplified Mycobacterium Tuberculosis Direct (MTD) test for detection of Mycobacterium tuberculosis with smear-positive and smear-negative specimens.

Authors:  P Coll; M Garrigó; C Moreno; N Martí
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8.  Nontuberculous pulmonary mycobacteriosis in Denmark: incidence and prognostic factors.

Authors:  Claire Andréjak; Vibeke Ø Thomsen; Isik S Johansen; Anders Riis; Thomas L Benfield; Pierre Duhaut; Henrik T Sørensen; François-Xavier Lescure; Reimar W Thomsen
Journal:  Am J Respir Crit Care Med       Date:  2009-12-10       Impact factor: 21.405

9.  Changing epidemiology of pulmonary nontuberculous mycobacteria infections.

Authors:  Rachel M Thomson
Journal:  Emerg Infect Dis       Date:  2010-10       Impact factor: 6.883

10.  Interferon Gamma Release Assays in Patients with Respiratory Isolates of Non-Tuberculous Mycobacteria - a Preliminary Study.

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  2 in total

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Journal:  Front Pediatr       Date:  2022-02-28       Impact factor: 3.418

2.  Who Were Hospitalized Deceased Patients from COVID-19 During the First Year of Pandemic? Retrospective Analysis of 1104 Deceased Patients in South of France.

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