Stool testing for pulmonary TB diagnosis in adults

Author:

Laursen L. L.1,Dahl V. N.2,Wejse C.2

Affiliation:

1. Department of Infectious Diseases, Aarhus University Hospital, Aarhus University, Aarhus, Denmark

2. Department of Infectious Diseases, Aarhus University Hospital, Aarhus University, Aarhus, Denmark, Department of Public Health, Center for Global Health (GloHAU), Aarhus University, Aarhus, Denmark

Abstract

BACKGROUND: Mycobacterium tuberculosis is acid-fast and able to survive in the gastrointestinal tract. Thus, bacteria can be found in stool if sputum is swallowed. In this study, the accuracy of different diagnostic stool methods (microscopy, polymerase chain reaction PCR and culture) among adults with pulmonary TB (PTB) were assessed and compared with sputum culture.METHODS: Embase and PubMed were searched to identify studies with data on stool testing among patients with clinically presumed or microbiologically verified PTB.RESULTS: Thirteen relevant studies were included. A pooled sensitivity of one or more of the three TB identifying methods was 79.1% (95% CI 61.5–92.5). The sensitivity of stool microscopy, PCR and culture was respectively 41.1% (95%CI 24.9–58.2), 89.7% (95% CI 81.4–95.9) and 38.0% (95% CI 26.2–50.6). The heterogeneity of the studies included was high.CONCLUSION: Our review findings indicate that the analysis of stool specimens as part of PTB diagnostics is useful. PCR methods were particularly helpful in detecting a substantial proportion of patients with PTB.

Publisher

International Union Against Tuberculosis and Lung Disease

Subject

Infectious Diseases,Pulmonary and Respiratory Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3