Volume 24 Issue 2
Feb.  2026
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LIU Wenbin, TANG Leiming, WANG Min, CAI Chengsong, PAN Feng. The diagnostic value of Xpert MTB/RIF for NTM pulmonary disease in smear-positive patients and analysis of the species distribution characteristics of NTM[J]. Chinese Journal of General Practice, 2026, 24(2): 275-279. doi: 10.16766/j.cnki.issn.1674-4152.004378
Citation: LIU Wenbin, TANG Leiming, WANG Min, CAI Chengsong, PAN Feng. The diagnostic value of Xpert MTB/RIF for NTM pulmonary disease in smear-positive patients and analysis of the species distribution characteristics of NTM[J]. Chinese Journal of General Practice, 2026, 24(2): 275-279. doi: 10.16766/j.cnki.issn.1674-4152.004378

The diagnostic value of Xpert MTB/RIF for NTM pulmonary disease in smear-positive patients and analysis of the species distribution characteristics of NTM

doi: 10.16766/j.cnki.issn.1674-4152.004378
Funds:

 2021KY888

  • Received Date: 2025-05-24
    Available Online: 2026-04-11
  •   Objective  To evaluate the diagnostic value of Xpert MTB/RIF for nontuberculous mycobacterial (NTM) pulmonary disease among smear-positive patients and analyze the species distribution of NTM, thereby enhancing the clinical early diagnostic capability for such patients.  Methods  A total of 122 inpatients admitted to the Affiliated Hospital of Hangzhou Normal University from April 2020 to September 2024 were retrospectively selected as research subjects, including 73 cases of NTM lung disease and 49 cases of pulmonary tuberculosis. With smear-positive patients as the analysis subgroup, Kappa analysis was used to verify the consistency of Xpert and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) in the differential diagnosis of NTM lung disease and pulmonary tuberculosis, and the species distribution characteristics of NTM were analyzed simultaneously.  Results  The positivity rates of Xpert MTB/RIF were 1.92% (1/52) in smear-positive NTM pulmonary disease, 0% (0/21) in smear-negative NTM pulmonary disease, 100.00% (38/38) in smear-positive pulmonary tuberculosis, and 72.73% (8/11) in smear-negative pulmonary tuberculosis. One case of Mycobacterium abscessus subsp. abscessus was misclassified as Mycobacterium tuberculosis by Xpert MTB/RIF. Among the 73 NTM pulmonary disease cases, single-strain infection accounted for 79.45% (58/73), and mixed infections with two or more NTM strains accounted for 20.55% (15/73). Among the 89 NTM strains detected by MALDI-TOF MS, the more common species were Mycobacterium intracellulare (62.92%, 56/89) and Mycobacterium abscessus (17.98%, 16/89). Xpert MTB/RIF and MALDI-TOF MS demonstrated excellent concordance in distinguishing NTM pulmonary disease from pulmonary tuberculosis among smear-positive patients (Kappa=0.938, P < 0.001).  Conclusion  Mycobacterium intracellulare was the most common NTM species in patients with NTM pulmonary disease, followed by Mycobacterium abscessus. Xpert MTB/RIF can effectively differentiate NTM pulmonary disease from pulmonary tuberculosis in smear-positive patients and exhibits significant clinical value for the diagnosis of smear-positive NTM pulmonary disease.

     

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  • [1]
    DONOHUE M J. Increasing nontuberculous mycobacteria reporting rates and species diversity identified in clinical laboratory reports[J]. BMC Infect Dis, 2018, 18(1): 163. DOI: 10.1186/s12879-018-3043-7.
    [2]
    FURUUCHI K, MORIMOTO K, YOSHIYAMA T, et al. Interrelational changes in the epidemiology and clinical features of nontuberculous mycobacterial pulmonary disease and tuberculosis in a referral hospital in Japan[J]. Respir Med, 2019, 152: 74-80. doi: 10.1016/j.rmed.2019.05.001
    [3]
    NGUYEN M H, HAAS M K, KASPERBAUER S H, et al. Nontuberculous mycobacterial pulmonary disease: patients, principles, and prospects[J]. Clin Infect Dis, 2024, 79(4): e27-e47. doi: 10.1093/cid/ciae421
    [4]
    TAN Y J, DENG Y F, YAN X F, et al. Nontuberculous mycobacterial pulmonary disease and associated risk factors in China: a prospective surveillance study[J]. J Infect, 2021, 83(1): 46-53. doi: 10.1016/j.jinf.2021.05.019
    [5]
    马小军. 国内外非结核分枝杆菌诊治指南比较及临床适用性思考[J]. 中华内科杂志, 2016, 55(4): 264-266.

    MA X J. Comparison of domestic and international diagnostic and treatment guidelines for nontuberculous mycobacteria and considerations on clinical applicability[J]. Chin J Intern Med, 2016, 55(4): 264-266.
    [6]
    YU G C, ZHONG F M, SHEN Y Q, et al. Diagnostic accuracy of the Xpert MTB/RIF assay for tuberculous pericarditis: a systematic review and meta-analysis[J]. PLoS One, 2021, 16(9): e0257220. DOI: 10.1371/journal.pone.0257220.
    [7]
    BERHANU R H, DAVID A, DA SILVA P, et al. Performance of Xpert MTB/RIF, Xpert ultra, and Abbott RealTime MTB for diagnosis of pulmonary tuberculosis in a high-HIV-burden setting[J]. J Clin Microbiol, 2018, 56(12): e00560-e00518.
    [8]
    WANG J, ZHANG X X, HUO F M, et al. Analysis of Xpert MTB/RIF results in retested patients with very low initial bacterial loads: a retrospective study in China[J]. J Infect Public Health, 2023, 16(6): 911-916. doi: 10.1016/j.jiph.2023.04.004
    [9]
    SHEN Y Q, FANG L K, XU X D, et al. CapitalBio Mycobacterium real-time polymerase chain reaction detection test: rapid diagnosis of Mycobacterium tuberculosis and nontuberculous mycobacterial infection[J]. Int J Infect Dis, 2020, 98: 1-5.
    [10]
    CHU Y, WANG X M, DOU M, et al. Clinical characteristics, species distribution, and drug resistance of non-tuberculous mycobacteria lung disease in Qingdao, China[J]. Infect Drug Resist, 2024, 17: 4807-4814. doi: 10.2147/IDR.S475015
    [11]
    无曹彬, 陈虹. 肺结核基层诊疗指南(2018年)[J]. 中华全科医师杂志, 2019, 18(8): 709-717.

    CAO B, CHEN H. Guideline for primary care of pulmonary tuberculosis (2018)[J]. Chin J Gen Pract, 2019, 18(8): 709-717.
    [12]
    中华医学会结核病学分会. 非结核分枝杆菌病诊断与治疗指南(2020年版)[J]. 中华结核和呼吸杂志, 2020, 43(11): 918-946.

    Society of Tuberculosis, Chinese Medical Association. Guideline on diagnosis and treatment of non-tuberculous mycobacteria diseases (2020)[J]. Chin J Tuberc Respir Dis, 2020, 43(11): 918-946.
    [13]
    王黎霞, 成诗明, 周林, 等. 肺结核诊断WS 288-2017[J]. 中国感染控制杂志, 2018, 17(7): 642-652.

    WANG L X, CHENG S M, ZHOU L, et al. Diagnosis of pulmonary tuberculosis WS 288-2017[J]. Chin J Infect Control, 2018, 17(7): 642-652.
    [14]
    CHIN K L, SARMIENTO M E, ALVAREZ-CABRERA N, et al. Pulmonary non-tuberculous mycobacterial infections: current state and future management[J]. Eur J Clin Microbiol Infect Dis, 2020, 39(5): 799-826. doi: 10.1007/s10096-019-03771-0
    [15]
    ZHANG Y Y, SUN R Y, YU C L, et al. Spatial heterogeneity of nontuberculous mycobacterial pulmonary disease in Shanghai: insights from a ten-year population-based study[J]. Int J Infect Dis, 2024, 143: 107001. DOI: 10.1016/j.ijid.2024.107001.
    [16]
    TAN Y J, DENG Y F, YAN X F, et al. Nontuberculous mycobacterial pulmonary disease and associated risk factors in China: a prospective surveillance study[J]. J Infect, 2021, 83(1): 46-53. doi: 10.1016/j.jinf.2021.05.019
    [17]
    WU M L, AZIZ D B, DARTOIS V, et al. NTM drug discovery: status, gaps and the way forward[J]. Drug Discov Today, 2018, 23(8): 1502-1519. doi: 10.1016/j.drudis.2018.04.001
    [18]
    SHEN Y Q, FANG L K, XU X D, et al. CapitalBio Mycobacterium real-time polymerase chain reaction detection test: rapid diagnosis of Mycobacterium tuberculosis and nontuberculous mycobacterial infection[J]. Int J Infect Dis, 2020, 98: 1-5.
    [19]
    SINSHAW W, KEBEDE A, BITEW A, et al. Effect of sputum quality and role of Xpert(®) MTB/RIF assay for detection of smear-negative pulmonary tuberculosis in same-day diagnosis strategy in Addis Ababa, Ethiopia[J]. Afr J Lab Med, 2022, 11(1): 1671. DOI: 10.4102/ajlm.v11i1.1671.
    [20]
    GONG X, HE Y R, ZHOU K Y, et al. Efficacy of Xpert in tuberculosis diagnosis based on various specimens: a systematic review and meta-analysis[J]. Front Cell Infect Microbiol, 2023, 13: 1149741. DOI: 10.3389/fcimb.2023.1149741.
    [21]
    余旭良, 胡昌弟, 金菊仙, 等. Xpert MTB/RIF联合GenoType MTBDRplus在衢州地区耐多药结核病快速诊断中的应用研究[J]. 中华全科医学, 2019, 17(8): 1375-1378.

    YU X L, HU C D, JIN J X, et al. The application of Xpert MTB/RIF combined with GenoType MTBDRplus in the rapid diagnosis of MDR-TB in Quzhou[J]. Chinese Journal of General Practice, 2019, 17(8): 1375-1378.
    [22]
    WANG Z, ZOU Y W, WEI Z H, et al. Analytical and clinical validation of a novel MeltPlus TB-NTM/RIF platform for simultaneous detection of Mycobacterium tuberculosis complex, non-Tuberculous mycobacteria and rifampicin resistance[J]. Front Cell Infect Microbiol, 2025, 15: 1534268. DOI: 10.3389/fcimb.2025.1534268.
    [23]
    LI X M, SUN D Z, LIANG C S, et al. Characterization of non-tuberculous mycobacterial pulmonary disease and pulmonary tuberculosis in patients with AFB smear-positive sputum: a retrospective comparative study[J]. Heliyon, 2024, 10(17): e37434. DOI: 10.1016/j.heliyon.2024.e37434.
    [24]
    WANG J Y, CHEN Z L, XU Y N, et al. Screening and drug resistance analysis of non-tuberculous mycobacteria in patients with suspected pulmonary tuberculosis on the Hainan Island, China[J]. Infect Drug Resist, 2023, 16: 463-476. doi: 10.2147/IDR.S396050
    [25]
    SUN Q, YAN J, LIAO X L, et al. Trends and species diversity of non-tuberculous mycobacteria isolated from respiratory samples in northern China, 2014-2021[J]. Front Public Health, 2022, 10: 923968. DOI: 10.3389/fpubh.2022.923968.
    [26]
    LIU C F, SONG Y M, HE W C, et al. Nontuberculous mycobacteria in China: incidence and antimicrobial resistance spectrum from a nationwide survey[J]. Infect Dis Poverty, 2021, 10(1): 59. DOI: 10.1186/s40249-021-00844-1.
    [27]
    周亚娣, 金法祥. 基质辅助激光解吸电离飞行时间质谱鉴定非结核分枝杆菌及药敏试验分析[J]. 中华全科医学, 2022, 20(9): 1548-1550.

    ZHOU Y D, JIN F X. Identification of nontuberculous mycobacteria by matrix-assisted laser desorption ionization time-of-flight mass spectrometry and analysis of drug-sensitivity test[J]. Chinese Journal of General Practice, 2022, 20(9): 1548-1550.
    [28]
    ZHANG H Z, LUO M, ZHANG K, et al. Species identification and antimicrobial susceptibility testing of non-tuberculous mycobacteria isolated in Chongqing, Southwest China[J]. Epidemiol Infect, 2020, 149: e7. DOI: 10.1017/S0950268820003088.
    [29]
    ZHANG Y Y, SUN R Y, YU C L, et al. Spatial heterogeneity of nontuberculous mycobacterial pulmonary disease in Shanghai: insights from a ten-year population-based study[J]. Int J Infect Dis, 2024, 143: 107001. DOI: 10.1016/j.ijid.2024.107001.
    [30]
    PANG Y, LU J, SU B Y, et al. Misdiagnosis of tuberculosis associated with some species of nontuberculous mycobacteria by GeneXpert MTB/RIF assay[J]. Infection, 2017, 45(5): 677-681. doi: 10.1007/s15010-017-1044-x
    [31]
    TANG Y Y, YU J, YANG G R, et al. Probe A shown in the GeneXpert MTB/RIF assay during the detection of Mycobacterium intracellular infections[J]. Diagn Microbiol Infect Dis, 2021, 99(2): 115243. DOI: 10.1016/j.diagmicrobio.2020.115243.
    [32]
    李娜, 陈晓白, 彭琳. 痰涂片联合Xpert检测对基层结核病医院NTM肺病早期诊断的应用价值[J]. 中国医药指南, 2020, 18(15): 90-91.

    LI N, CHEN X B, PENG L. Sputum smear combined with Xpert detection for the application value in early diagnosis of nontuberculous mycobacterial pulmonary disease in primary tuberculosis hospitals[J]. Guide of China Medicine, 2020, 18(15): 90-91.
    [33]
    PENG J, SONG J, WANG F, et al. Harnessing big data to optimize an algorithm for rapid diagnosis of pulmonary tuberculosis in a real-world setting[J]. Front Cell Infect Microbiol, 2021, 11: 650163. DOI: 10.3389/fcimb.2021.650163.
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