准确性和增量产量胸部x线筛查肺结核在乌干达:横断面研究。

Tuberculosis Research and Treatment Pub Date : 2021-03-19 eCollection Date: 2021-01-01 DOI:10.1155/2021/6622809
Joanitah Nalunjogi, Frank Mugabe, Irene Najjingo, Pastan Lusiba, Francis Olweny, Joseph Mubiru, Edward Kayongo, Rogers Sekibira, Achilles Katamba, Bruce Kirenga
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引用次数: 2

摘要

世卫组织终止结核病战略要求发现≥90%的病例以抗击结核病。增加结核病病例发现需要一种更敏感和更具体的筛查工具。目前,发现推荐用于筛查结核病的症状不够理想,因为多达44%的结核病患者无症状。本研究评估了胸部x线(CXR)作为肺结核筛查工具的效果,并通过一项横断面研究对2014年至2015年间参加乌干达国家结核病患病率调查的4512名年龄≥15岁的同意/同意参与者的数据进行二次分析,评估了其在结核病诊断中的增量收益。咳嗽≥2周、发热、体重减轻和盗汗的参与者使用症状筛查方法筛查结核阳性,而在CXR中有结核定义异常的参与者使用CXR筛查方法筛查结核阳性。Löwenstein-Jensen (LJ)培养物被用作结核病诊断的金标准。与LJ培养结果相比,CXR的敏感性为93%,特异性为65%,而症状的敏感性为76%,特异性为31%。除了症状外,还包括CXR的筛查算法导致结核病诊断率增加38%。使用CXR和症状筛选算法进行筛选所需的数量为32,而单独使用症状时所需的数量为45。因此,结合症状的CXR是一种很好的结核病筛查工具,可以提高结核病的诊断率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accuracy and Incremental Yield of the Chest X-Ray in Screening for Tuberculosis in Uganda: A Cross-Sectional Study.

Accuracy and Incremental Yield of the Chest X-Ray in Screening for Tuberculosis in Uganda: A Cross-Sectional Study.

The WHO END TB strategy requires ≥90% case detection to combat tuberculosis (TB). Increased TB case detection requires a more sensitive and specific screening tool. Currently, the symptoms recommended for screening TB have been found to be suboptimal since up to 44% of individuals with TB are asymptomatic. The chest X-ray (CXR) as a screening tool for pulmonary TB was evaluated in this study, as well as its incremental yield in TB diagnosis using a cross-sectional study involving secondary analysis of data of 4512 consented/assented participants ≥15 years who participated in the Uganda National TB prevalence survey between 2014 and 2015. Participants with a cough ≥2 weeks, fever, weight loss, and night sweats screened positive for TB using the symptoms screening method, while participants with a TB defining abnormality on CXR screened positive for TB by the CXR screening method. The Löwenstein-Jensen (LJ) culture was used as a gold standard for TB diagnosis. The CXR had 93% sensitivity and 65% specificity compared to LJ culture results, while symptoms had 76% sensitivity and 31% specificity. The screening algorithm involving the CXR in addition to symptoms led to a 38% increment in the yield of diagnosed tuberculosis. The number needed to screen using the CXR and symptoms screening algorithm was 32 compared to 45 when the symptoms are used alone. Therefore, the CXR in combination with symptoms is a good TB screening tool and increases the yield of diagnosed TB.

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