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Diagnosis and management of non-tuberculous mycobacterial (NTM) infections remain formidable due to their nonspecific clinical presentation, environmental persistence and adaptability, and intrinsic drug resistance to existing treatments. The diverse species exhibiting variable drug susceptibility and lacking standardised treatment regimens make the precise identification of NTM species more critical. Therefore, precise and prompt species-level identification is paramount to confirm diagnosis, suggest appropriate therapeutics to improve patient outcomes. NTM infections often mimic tuberculosis, leading to frequent misdiagnosis, inappropriate therapy, and increased morbidity. Compounding this, advanced molecular tools required for precise identification are limited inresource-constrained setups. Moreover, no robust diagnostic algorithm exists for accurately identifying NTM at the species level.
Dr Jyotirmayee Turuk. 2026. \u201cDevelopment of a diagnostic algorithm for identification of non-tuberculous mycobacteria species and drug sensitivity\u201d. Global Journal of Medical Research - C: Microbiology & Pathology GJMR-C Volume 25 (GJMR Volume 25 Issue C1): .
Crossref Journal DOI 10.17406/gjmra
Print ISSN 0975-5888
e-ISSN 2249-4618
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Total Score: 107
Country: India
Subject: Global Journal of Medical Research - C: Microbiology & Pathology
Authors: Dr Jyotirmayee Turuk, Sunita Panda, Madhusmita Rout, Sidhartha Giri, Sunil Swick Rout, Paresh Mohanty, Sanghamitra Pati (PhD/Dr. count: 0)
View Count (all-time): 97
Total Views (Real + Logic): 268
Total Downloads (simulated): 61
Publish Date: 2026 01, Fri
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Diagnosis and management of non-tuberculous mycobacterial (NTM) infections remain formidable due to their nonspecific clinical presentation, environmental persistence and adaptability, and intrinsic drug resistance to existing treatments. The diverse species exhibiting variable drug susceptibility and lacking standardised treatment regimens make the precise identification of NTM species more critical. Therefore, precise and prompt species-level identification is paramount to confirm diagnosis, suggest appropriate therapeutics to improve patient outcomes. NTM infections often mimic tuberculosis, leading to frequent misdiagnosis, inappropriate therapy, and increased morbidity. Compounding this, advanced molecular tools required for precise identification are limited inresource-constrained setups. Moreover, no robust diagnostic algorithm exists for accurately identifying NTM at the species level.
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