Diagnostic value of a novel automated simultaneous amplification and testing method in pulmonary tuberculosis and extrapulmonary tuberculosis

AutoSAT is an accurate, sensitive and rapid method for the detection of Mycobacterium tuberculosis in both PTB and EPTB patients. AutoSAT is highly effective in bacteriologically confirmed PTB, and outperforms Xpert in paucibacillary EPTB patients, especially for pleural fluid specimen detection.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-05-14
DOI
https://doi.org/10.3389/fmicb.2025.1590635
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic value of a novel automated simultaneous amplification and testing method in pulmonary tuberculosis and extrapulmonary tuberculosis

Dongfang Xu, Zhou Liu, 崇匡 佐藤, Yanlin Zhao et al.
Frontiers in Microbiology
Tuberculosis Research and Epidemiology
article

Diagnostic value of a novel automated simultaneous amplification and testing method in pulmonary tuberculosis and extrapulmonary tuberculosis

Dongfang Xu, Zhou Liu, 崇匡 佐藤, Yanlin Zhao, Xichao Ou, Yuanyuan Song, Jingwei Guo, Peilei Hu, Ruida Xing, Shengfen Wang, Hui Xia, Yue Li, Yang Zhou, Ling Ma, Huiwen Zheng, Xundi Bao, Yang Zheng, Bing Zhao, Yun‐Hong Tan
article en

Abstract

AutoSAT is an accurate, sensitive and rapid method for the detection of Mycobacterium tuberculosis in both PTB and EPTB patients. AutoSAT is highly effective in bacteriologically confirmed PTB, and outperforms Xpert in paucibacillary EPTB patients, especially for pleural fluid specimen detection.

Frontiers in MicrobiologyVol. 16
Capital Medical University (CN), Chinese Center For Disease Control and Prevention (CN), Hunan Province Chest Hospital (CN), Beijing Children’s Hospital (CN), National Institute for Communicable Disease Control and Prevention (CN), Beijing Center for Disease Prevention and Control (CN), Xi'an Chest Hospital (CN), Gansu Provincial Center for Disease Control and Prevention (CN)
Chinese Center for Disease Control and Prevention, Natural Science Foundation of Gansu Province, Beijing Municipal Health Commission, Centers for Disease Control and Prevention
Openalex Percentile: Top 86%
Tuberculosis Research and Epidemiology
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