Development of a diagnostic algorithm for identification of non-tuberculous mycobacteria species and drug sensitivity

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Dr Jyotirmayee Turuk
Dr Jyotirmayee Turuk
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Sunita Panda
Sunita Panda
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Madhusmita Rout
Madhusmita Rout
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Sidhartha Giri
Sidhartha Giri
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Sunil Swick Rout
Sunil Swick Rout
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Paresh Mohanty
Paresh Mohanty
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Sanghamitra Pati
Sanghamitra Pati

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Development of a diagnostic algorithm for identification of non-tuberculous mycobacteria species and drug sensitivity

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Abstract

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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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords
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v1.2

Issue date

April 29, 2025

Language
en
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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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Development of a diagnostic algorithm for identification of non-tuberculous mycobacteria species and drug sensitivity

Dr Jyotirmayee Turuk
Dr Jyotirmayee Turuk
Sunita Panda
Sunita Panda
Madhusmita Rout
Madhusmita Rout
Sidhartha Giri
Sidhartha Giri
Sunil Swick Rout
Sunil Swick Rout
Paresh Mohanty
Paresh Mohanty
Sanghamitra Pati
Sanghamitra Pati

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