首页> 外文期刊>Thorax: The Journal of the British Thoracic Society >Incremental value of T-SPOT.TB for diagnosis of active pulmonary tuberculosis in children in a high-burden setting: A multivariable analysis
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Incremental value of T-SPOT.TB for diagnosis of active pulmonary tuberculosis in children in a high-burden setting: A multivariable analysis

机译:T-SPOT.TB在高负荷环境中诊断儿童活动性肺结核的增量值:多变量分析

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Introduction Interferon γ release assays (IGRAs) are increasingly used for tuberculosis (TB) infection, but their incremental value beyond patient demographics, clinical signs and conventional tests for active disease has not been evaluated in children. Methods The incremental value of T-SPOT.TB was assessed in 491 smear-negative children from two hospitals in Cape Town, South Africa. Bayesian model averaging was used to select the optimal set of patient demographics and clinical signs for predicting cultureconfirmed TB. The added value of T-SPOT.TB over and above patient characteristics and conventional tests was measured using statistics such as the difference in the area under the receiver operating characteristic curve (AUC), the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI). Results Cough longer than 2 weeks, fever longer than 2 weeks, night sweats, malaise, history of household contact and HIV status were the most important predictors of culture-confirmed TB. Binary T-SPOT.TB results did not have incremental value when added to the baseline model with clinical predictors, chest radiography and the tuberculin skin test. The AUC difference was 3% (95% CI 0% to 7%). Using risk cut-offs of <10%, 10-30% and >30%, the NRI was 7% (95% CI -8% to 31%) but the CI included the null value. The IDI was 3% (95% CI 0% to 11%), meaning that the average predicted probability across all possible cut-offs improved marginally by 3%. Conclusions In a high-burden setting, the T-SPOT.TB did not have added value beyond clinical data and conventional tests for diagnosis of TB disease in smearnegative children.
机译:简介干扰素γ释放测定法(IGRA)越来越多地用于结核病(TB)感染,但尚未对儿童进行评估,其价值超出了患者人口统计,临床体征和活动性疾病的常规检查范围。方法对南非开普敦两家医院的491名涂片阴性儿童的T-SPOT.TB增量值进行了评估。贝叶斯模型平均用于选择最佳的患者人口统计学和临床​​体征,以预测培养证实的结核病。使用统计数据来测量T-SPOT.TB在患者特征和常规测试之上和之上的附加值,这些统计信息包括接收器工作特征曲线下的面积差异(AUC),净重分类改进(NRI)和综合辨别改进(IDI)。结果咳嗽超过2周,发烧超过2周,盗汗,全身不适,家庭接触史和HIV状况是培养证实的结核病的最重要预测指标。当将T-SPOT.TB的二进制结果与临床预测指标,胸部X线照片和结核菌素皮肤试验相加到基线模型中时,没有增量值。 AUC差异为3%(95%CI 0%至7%)。使用<10%,10-30%和> 30%的风险分界值,NRI为7%(95%CI -8%至31%),但CI包含零值。 IDI为3%(95%CI 0%至11%),这意味着所有可能的临界值的平均预测概率略微提高了3%。结论在高负担的情况下,T-SPOT.TB并没有增加临床数据和常规测试来诊断弥漫性阴性儿童的结核病。

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