Retrospective analysis of non-tuberculous mycobacterial skin infections: diagnostic accuracy, treatment efficacy, and PCR-based species detection in a Chinese primary care hospital

This study addresses a critical gap in managing non-tuberculous mycobacterial (NTM) skin infections in resource-limited primary care settings, with particular relevance to coastal regions like Shouguang, where occupational exposure to marine environments elevates infection risk. By validating empirical diagnosis through molecular testing, we demonstrate that integrated clinical-histopathological assessment is a reliable method for identifying NTM infections where advanced diagnostics are unavailable. Our adaptation of real-time PCR to archived FFPE tissues provides a feasible model for retrospective species identification and research, overcoming key resource constraints. The high documented cure rate with clarithromycin-rifampicin regimens provides practical treatment benchmarks for regions with similar epidemiological profiles. These findings offer immediate clinical value by: (i) reinforcing the reliability of empirical diagnosis in resource-limited contexts, (ii) establishing a practical pathway for molecular confirmation using stored samples, and (iii) validating effective treatment protocols for high-risk occupational groups. As NTM incidence increases globally, this work equips primary care systems with evidence-based strategies to improve diagnostic accuracy and patient outcomes in settings with high marine exposure while simultaneously enabling future research through the utilization of existing biospecimen repositories.

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Publication Details

Journal
Journal of Clinical Microbiology
Published
2025-11-13
DOI
https://doi.org/10.1128/jcm.01065-25
Primary Topic
Mycobacterium research and diagnosis
Type
article
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article

Retrospective analysis of non-tuberculous mycobacterial skin infections: diagnostic accuracy, treatment efficacy, and PCR-based species detection in a Chinese primary care hospital

Yingjie Zheng, Yinggai Song, Tianyi Xu, Ruoning Xue et al.
Journal of Clinical Microbiology
Mycobacterium research and diagnosis
article

Retrospective analysis of non-tuberculous mycobacterial skin infections: diagnostic accuracy, treatment efficacy, and PCR-based species detection in a Chinese primary care hospital

Yingjie Zheng, Yinggai Song, Tianyi Xu, Ruoning Xue, Wen Zhang, Ruoyu Li, Z. T. Sun
article en

Abstract

This study addresses a critical gap in managing non-tuberculous mycobacterial (NTM) skin infections in resource-limited primary care settings, with particular relevance to coastal regions like Shouguang, where occupational exposure to marine environments elevates infection risk. By validating empirical diagnosis through molecular testing, we demonstrate that integrated clinical-histopathological assessment is a reliable method for identifying NTM infections where advanced diagnostics are unavailable. Our adaptation of real-time PCR to archived FFPE tissues provides a feasible model for retrospective species identification and research, overcoming key resource constraints. The high documented cure rate with clarithromycin-rifampicin regimens provides practical treatment benchmarks for regions with similar epidemiological profiles. These findings offer immediate clinical value by: (i) reinforcing the reliability of empirical diagnosis in resource-limited contexts, (ii) establishing a practical pathway for molecular confirmation using stored samples, and (iii) validating effective treatment protocols for high-risk occupational groups. As NTM incidence increases globally, this work equips primary care systems with evidence-based strategies to improve diagnostic accuracy and patient outcomes in settings with high marine exposure while simultaneously enabling future research through the utilization of existing biospecimen repositories.

Journal of Clinical MicrobiologyVol. 63(12)
Peking University (CN), National Clinical Research Center for Digestive Diseases (CN), National Clinical Research (US), Peking University First Hospital (CN), Weifang University of Science and Technology (CN), Shougang (China) (CN)
Openalex Percentile: Top 55%
Mycobacterium research and diagnosis
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