医学
舌头
肺结核
结核分枝杆菌
诊断准确性
肺结核
诊断试验
多中心研究
采样(信号处理)
抗药性
内科学
病理
结核病诊断
放射科
抗生素
前瞻性队列研究
实时聚合酶链反应
试验预测值
灵敏度(控制系统)
聚合酶链反应
作者
Yilin Wang,Rui Li,Long Cai,Long Jin,Junwei Cui,Zichun Ma,Dan Shen,Jin Shi,Wei Jing,Dapeng Fan,Can Guo,Qijian Li,Yuanyuan Shang,Qingsi Li,Shanshan Li,Liang Li,Yu Pang
摘要
BACKGROUND: The diagnosis of pulmonary tuberculosis (TB) remains challenging in sputum-scarce and sputum-negative patients. Tongue swabs represent a promising non-invasive alternative specimen type that could overcome this diagnostic limitation. This study aimed to evaluate the performance of molecular detection of Mycobacterium tuberculosis (Mtb) from tongue swabs in this clinically challenging population. METHODS: In this study, We enrolled 625 sputum scarce individuals with presumptive TB from four Chinese TB hospitals. For each participant, paired tongue swab and bronchoalveolar lavage fluid (BALF) specimens were collected. Tongue swab specimens were analyzed using MTB-specific PCR assay, while BALF specimens underwent comprehensive evaluation using both microbiological reference standard (MRS) and Xpert MTB/RIF assay. RESULTS: Tongue swab testing demonstrated high diagnostic accuracy with 79.9% sensitivity (95% CI: 73.9-84.8) and 99.5% specificity (95% CI: 98.0-99.9) against the MRS, and 81.7% sensitivity (95% CI: 75.7-86.6) with 97.6% specificity (95% CI: 95.5-98.8) against Xpert MTB/RIF. Notably, simulation modeling revealed that when the proportion of sputum-scarce patients exceeded 10%, the tongue swab PCR strategy outperformed conventional sputum-only Xpert MTB/RIF testing in overall case detection rates. CONCLUSIONS: Tongue swab-based PCR represents a non-invasive, accurate, and highly specific diagnostic approach for tuberculosis, particularly in sputum-scarce or sputum-negative individuals. While this study demonstrates its superior performance in such populations, further optimization of sampling protocols and molecular assays is needed to improve detection sensitivity in cases with low bacillary loads. Integrating tongue swab testing into routine TB diagnostic algorithms could enhance case detection, strengthen drug resistance surveillance, and contribute to reducing transmission.
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