Differentiating Nontuberculous Mycobacterial Pulmonary Disease from Pulmonary Tuberculosis in Resource-Limited Settings: A Pragmatic Model for Reducing Misguided Antitubercular Treatment

<b>Background</b>: Differentiating nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB) remains challenging due to overlapping clinical features, particularly in resource-limited settings where diagnostic errors are frequent. This retrospective case-control study (January 2023-June 2024) aimed to identify key clinical predictors and develop a diagnostic model to distinguish NTM-PD from PTB. <b>Methods</b>: Patients initially presumed to have PTB (meeting clinical-radiological criteria but lacking bacteriological confirmation at admission) at a tertiary tuberculosis hospital were enrolled. Final diagnoses of NTM-PD (<i>n</i> = 105) and PTB (<i>n</i> = 105) were confirmed by mycobacterial culture identification. Clinical, laboratory, and radiological data were compared using univariate analysis. Variables showing significant differences (<i>p</i> < 0.05) were entered into multivariable logistic regression. Diagnostic performance was evaluated via receiver operating characteristic (ROC) curve analysis. <b>Results</b>: Female sex (odds ratio [OR] = 2.51, 95% confidence interval [CI] 1.12-5.60), hemoptysis (OR = 2.20, 1.05-4.62), bronchiectasis (OR = 5.92, 2.56-13.71), and emphysema/pulmonary bullae (OR = 2.69, 1.16-6.24) emerged as independent predictors of NTM-PD, while systemic symptoms favored PTB (OR = 0.45, 0.20-0.99). The model demonstrated 91.4% specificity and 68.6% sensitivity with an area under the curve [AUC] of 0.871. <b>Conclusions</b>: This high-specificity model helps prioritize NTM-PD confirmation in females with hemoptysis and structural lung changes (computed tomography evidence of bronchiectasis and/or emphysema) while maintaining PTB suspicion when systemic symptoms (fever, night sweats, weight loss) dominate. The approach may reduce misguided antitubercular therapy in resource-limited settings awaiting culture results.

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Publication Details

Journal
Healthcare
Published
2025-05-05
DOI
https://doi.org/10.3390/healthcare13091065
Citations
1
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
1.35

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article

Differentiating Nontuberculous Mycobacterial Pulmonary Disease from Pulmonary Tuberculosis in Resource-Limited Settings: A Pragmatic Model for Reducing Misguided Antitubercular Treatment

Jun Quan, Zebing Huang, Wei Zhang, Zhenhua Chen et al.
1 citations
Healthcare
Mycobacterium research and diagnosis
1.35
article

Differentiating Nontuberculous Mycobacterial Pulmonary Disease from Pulmonary Tuberculosis in Resource-Limited Settings: A Pragmatic Model for Reducing Misguided Antitubercular Treatment

Jun Quan, Zebing Huang, Wei Zhang, Zhenhua Chen, Jun Chen
article en
1 citations

Abstract

<b>Background</b>: Differentiating nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB) remains challenging due to overlapping clinical features, particularly in resource-limited settings where diagnostic errors are frequent. This retrospective case-control study (January 2023-June 2024) aimed to identify key clinical predictors and develop a diagnostic model to distinguish NTM-PD from PTB. <b>Methods</b>: Patients initially presumed to have PTB (meeting clinical-radiological criteria but lacking bacteriological confirmation at admission) at a tertiary tuberculosis hospital were enrolled. Final diagnoses of NTM-PD (<i>n</i> = 105) and PTB (<i>n</i> = 105) were confirmed by mycobacterial culture identification. Clinical, laboratory, and radiological data were compared using univariate analysis. Variables showing significant differences (<i>p</i> < 0.05) were entered into multivariable logistic regression. Diagnostic performance was evaluated via receiver operating characteristic (ROC) curve analysis. <b>Results</b>: Female sex (odds ratio [OR] = 2.51, 95% confidence interval [CI] 1.12-5.60), hemoptysis (OR = 2.20, 1.05-4.62), bronchiectasis (OR = 5.92, 2.56-13.71), and emphysema/pulmonary bullae (OR = 2.69, 1.16-6.24) emerged as independent predictors of NTM-PD, while systemic symptoms favored PTB (OR = 0.45, 0.20-0.99). The model demonstrated 91.4% specificity and 68.6% sensitivity with an area under the curve [AUC] of 0.871. <b>Conclusions</b>: This high-specificity model helps prioritize NTM-PD confirmation in females with hemoptysis and structural lung changes (computed tomography evidence of bronchiectasis and/or emphysema) while maintaining PTB suspicion when systemic symptoms (fever, night sweats, weight loss) dominate. The approach may reduce misguided antitubercular therapy in resource-limited settings awaiting culture results.

HealthcareVol. 13(9)
Central South University (CN), Hunan Province Chest Hospital (CN), Xiangya Hospital Central South University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 20%
Mycobacterium research and diagnosis
1.35
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