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Diagnostic Performance of the GENEDIA MTB/NTM Detection Kit for Detecting Mycobacterium tuberculosis and Nontuberculous Mycobacteria With Sputum Specimens
Article in En | WPRIM | ID: wpr-762469
Responsible library: WPRO
ABSTRACT
The GENEDIA MTB/NTM Detection Kit (GENEDIA MTB/NTM; Green Cross Medical Science Corp., Chungbuk, Korea) is a multiplex real-time PCR assay used for differential identification of Mycobacterium tuberculosis complex (MTBC) and nontuberculous mycobacteria (NTM). While the importance of differential identification of MTB/NTM is recognized, there is limited data on the performance of GENEDIA MTB/NTM assay to date. A total of 687 consecutive sputum specimens were cultured and analyzed with the GENEDIA MTB/NTM and GENEDIA MTB assays. Nineteen specimens (2.8%) were MTBC-positive, and 69 (10.0%) were NTM-positive based on mycobacterial culture. All specimens showed concordant results for MTBC using both assays, with a kappa value of 1.00, overall sensitivity of 63.2% (12/19), and specificity of 100% (668/668). The overall NTM sensitivity and specificity were 23.2% (16/69) and 99.7% (616/618) for GENEDIA MTB/NTM. The association between NTM-positivity using GENEDIA MTB/NTM and the diagnosis of NTM pulmonary disease was not statistically significant. In conclusion, the two real-time PCR assays showed similar diagnostic performance for MTBC detection. However, the sensitivity for NTM detection was lower than that for MTBC detection.
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Full text: 1 Database: WPRIM Main subject: Sputum / Sensitivity and Specificity / Diagnosis / Real-Time Polymerase Chain Reaction / Lung Diseases / Mycobacterium / Nontuberculous Mycobacteria / Mycobacterium tuberculosis Type of study: Diagnostic_studies Language: En Journal: Annals of Laboratory Medicine Year: 2020 Type: Article
Full text: 1 Database: WPRIM Main subject: Sputum / Sensitivity and Specificity / Diagnosis / Real-Time Polymerase Chain Reaction / Lung Diseases / Mycobacterium / Nontuberculous Mycobacteria / Mycobacterium tuberculosis Type of study: Diagnostic_studies Language: En Journal: Annals of Laboratory Medicine Year: 2020 Type: Article