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印度活动性肺结核病例发现——未来之路

Active tuberculosis case finding in India - The way forward.

作者信息

Chadha V K, Praseeja P

机构信息

Epidemiology and Research Division, National Tuberculosis Institute, Bangalore, Karnataka, India.

Epidemiology and Research Division, National Tuberculosis Institute, Bangalore, Karnataka, India.

出版信息

Indian J Tuberc. 2019 Jan;66(1):170-177. doi: 10.1016/j.ijtb.2018.05.014. Epub 2018 Jun 1.

Abstract

Community based active case finding (ACF) for tuberculosis (TB) has seen resurrection in the current armamentarium of many TB managers in their fight toward eliminating TB. This article explores the accuracy and approximate cost of various ACF algorithms currently in vogue in India or those which could be useful, while inputting the sensitivity and specificity of screening and diagnostic tools as estimated from recently conducted community based surveys. This analysis informs that ACF may be prioritized to higher prevalence settings and the diagnostic algorithm for specific setting may be chosen taking into account the expected prevalence, estimated accuracy of the algorithm and resource availability. Further, chest X-ray cannot be used alone as a diagnostic tool and can be relied upon for this purpose when at least one of the three sputum specimen is smear positive. Accuracy of Xpert MTB/RIF as a diagnostic tool in community situations needs to be investigated further. The review brings out significant proportions of initial default and default during treatment among cases detected through ACF thus emphasizing the need for heightened efforts toward preventing the same. The article rounds off emphasizing priority to addressing barriers to speedy scale up of more sensitive diagnostic tools for health center based case finding including in private sector and ACF in high risk clinical groups for early and efficient case detection. It concludes by putting forth certain research areas that would strengthen future efforts.

摘要

基于社区的结核病主动病例发现(ACF)在许多结核病管理者当前消除结核病的武器库中得以复兴。本文探讨了印度目前流行的或可能有用的各种ACF算法的准确性和大致成本,同时输入了从最近开展的社区调查中估计的筛查和诊断工具的敏感性和特异性。该分析表明,ACF可优先应用于患病率较高的地区,并且可以根据预期患病率、算法估计准确性和资源可用性来选择特定地区的诊断算法。此外,胸部X光不能单独用作诊断工具,当三份痰标本中至少有一份涂片呈阳性时,才可依赖其进行诊断。Xpert MTB/RIF作为社区环境中诊断工具的准确性需要进一步研究。该综述指出,通过ACF检测出的病例中,初始失访和治疗期间失访的比例相当大,因此强调需要加大力度预防此类情况。文章最后强调,应优先解决扩大基于卫生中心的病例发现(包括在私营部门)以及高危临床组中ACF的更敏感诊断工具快速推广的障碍,以实现早期和高效的病例检测。文章最后提出了某些研究领域,这些领域将加强未来的工作。

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