3012例痰标本结核分枝杆菌与非结核分枝杆菌实验室诊断方法的评价与比较

IF 2.3 4区 医学 Q3 RESPIRATORY SYSTEM
Qian Wu, Yelei Zhu, Yu Zhang, Zhengwei Liu, Mingwu Zhang, Jiazhen Chen, Beibei Wu
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引用次数: 0

摘要

结核病作为一种传染病对全球公共卫生构成威胁,有效阻断传播依赖于及时诊断。虽然有许多实验室检测可用于诊断结核分枝杆菌(MTB)和非结核分枝杆菌(NTM),但仍然非常需要评估其在临床样本中的诊断价值。在本研究中,我们评估了5种MTB诊断方法(包括常规痰涂片镜检、三明治杯痰涂片镜检、痰培养、expert -MTB/RIF和CapitalBio TB/NTM试剂盒检测试验)对3012份痰标本的诊断效果,并比较了它们单独和联合检测的诊断效果。在MTB的诊断中,Xpert-MTB/RIF在所有单一诊断方法中灵敏度最高,为79.6%(0.770-0.819),而CapitalBio TB/NTM试剂盒与培养法联合使用的灵敏度显著提高至88.4% (p < 0.05)。在诊断NTM时,培养法的灵敏度(85.7%)高于Capital Bio TB/NTM试剂盒法(45.7%)。在分枝杆菌诊断中,CapitalBio TB/NTM试剂盒检测试验的灵敏度最高(77.1%),联合常规痰涂片和培养的灵敏度进一步显著提高至84.2%。综上所述,expert -MTB/RIF是一种灵敏、快速、可靠的痰标本结核检测方法,培养等其他诊断方法对提高MTB诊断敏感性仍具有重要的临床价值。在临床实践中,CapitalBio TB/NTM试剂盒诊断NTM的灵敏度仍然不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation and Comparison of Laboratory Methods in Diagnosing Mycobacterium tuberculosis and Nontuberculous Mycobacteria in 3012 Sputum Samples

Evaluation and Comparison of Laboratory Methods in Diagnosing Mycobacterium tuberculosis and Nontuberculous Mycobacteria in 3012 Sputum Samples

Tuberculosis is a global public health threat as an infectious disease, and effective blocking of transmission relies on timely diagnosis. Although a number of laboratory tests are available in diagnosing Mycobacterium tuberculosis (MTB) and nontuberculous mycobacteria (NTM), it is still of great need to evaluate their diagnostic value in clinical samples. In this study, we evaluated five MTB diagnostic methods (including conventional sputum smear microscopy, sandwich cup sputum smear microscopy, sputum culture, Xpert-MTB/RIF, and CapitalBio TB/NTM kit detection test) in 3012 sputum specimens and compared their diagnostic performance of the single and combined tests. In the diagnosis of MTB, the Xpert-MTB/RIF had the highest sensitivity, 79.6% (0.770–0.819), among all the single diagnostic methods, and the combination of CapitalBio TB/NTM kit and culture approach significantly increased sensitivity to 88.4% (p < 0.05). In the diagnosis of NTM, the culture method has higher sensitivity (85.7%) compared with the Capital Bio TB/NTM kit method (45.7%). In the diagnosis of mycobacteria, the CapitalBio TB/NTM kit detection test has the highest sensitivity (77.1%) and combined with conventional sputum smear and culture significantly increased the sensitivity further to 84.2%. In conclusion, Xpert-MTB/RIF is a sensitive, rapid, and reliable method for TB detection in sputum samples, and other diagnostic methods including culture are still of great clinical values for improving the sensitivity of MTB diagnosis. The sensitivity of CapitalBio TB/NTM kit in diagnosing NTM is still insufficient in clinical practice.

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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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