Medical Research Unit Zacatecas, Mexican Institute of Social Security IMSS, Zacatecas, Mexico.
Arch Med Res. 2013 Apr;44(3):242-8. doi: 10.1016/j.arcmed.2013.02.004. Epub 2013 Mar 16.
We undertook this study to compare the performance of tuberculin skin test (TST) and QuantiFERON-TB-Gold In-tube assay (QFT-IT) to identify latent TB infection (LTBI) among close contacts of pulmonary TB cases.
A cross-sectional study was conducted in north central Mexico. Thirty nine TB index cases diagnosed between 2008 and 2010 and 123 corresponding close contacts were interviewed regarding their exposure time to the index case prior to TB diagnosis and relevant sociodemographic factors. TST (induration ≥5 and ≥10 mm) and QFT-IT (≥0.35 IU/mL) were tested to determine LTBI status. Kappa coefficients were used to assess the agreement between TST and QFT-IT. Multivariate logistic regression modeling using TST and QFT-IT as dependent variables, and cumulative exposure time and sociodemographic variables associated with LTBI were used as independent variables.
LTBI prevalence in adult contacts was 53.6 and 34.1% when TST cut-offs were set at ≥5 mm and ≥10, respectively, and 41.4% according to QFT-IT. Agreement between TST and QFT-IT was 73.1 and 74.8%, and kappa coefficients 0.47 and 0.46, for TST ≥5 and ≥10 mm, respectively, although these were higher when data were stratified by cumulative exposure, reaching 84.9% and 0.70 for TST ≥5 mm if exposure was ≥500 h/month. None of the predictive variables analyzed for LTBI using multivariate regression was significantly associated.
TST ≥5 mm appears to be a useful test to identify LTBI among closely exposed contacts in this geographic setting.
我们进行这项研究,旨在比较结核菌素皮肤试验(TST)和 QuantiFERON-TB-Gold In-tube 检测(QFT-IT)在诊断潜伏性结核感染(LTBI)方面的表现,研究对象为肺结核病例的密切接触者。
本研究为一项在墨西哥中北部进行的横断面研究。共纳入 2008 年至 2010 年间诊断的 39 例肺结核索引病例及其 123 名密切接触者,通过访谈的方式收集接触者在索引病例诊断前的暴露时间和相关社会人口学因素等信息。对接触者进行 TST(硬结≥5 毫米和≥10 毫米)和 QFT-IT(≥0.35 IU/mL)检测,以确定 LTBI 状态。采用 Kappa 系数评估 TST 和 QFT-IT 之间的一致性。采用 TST 和 QFT-IT 作为因变量,以累积暴露时间和与 LTBI 相关的社会人口学变量作为自变量,进行多变量逻辑回归模型分析。
成人接触者的 LTBI 患病率分别为 TST 截点≥5 毫米和≥10 毫米时的 53.6%和 34.1%,QFT-IT 时为 41.4%。TST≥5 毫米和≥10 毫米时,TST 和 QFT-IT 之间的一致性分别为 73.1%和 74.8%,Kappa 系数分别为 0.47 和 0.46。但当按累积暴露分层时,数据的一致性会提高,TST 截点≥5 毫米时,暴露≥500 小时/月的一致性为 84.9%,Kappa 系数为 0.70。多变量回归分析中未发现任何与 LTBI 相关的预测变量。
在该地理环境中,TST≥5 毫米可能是一种用于识别密切接触者中 LTBI 的有用检测方法。