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结核菌素皮肤试验与干扰素-γ释放试验在预测结核病发病中的比较。

Comparison of Tuberculin Skin Testing and Interferon-γ Release Assays in Predicting Tuberculosis Disease.

机构信息

Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.

Peraton, Reston, Virginia.

出版信息

JAMA Netw Open. 2024 Apr 1;7(4):e244769. doi: 10.1001/jamanetworkopen.2024.4769.

Abstract

IMPORTANCE

Elimination of tuberculosis (TB) disease in the US hinges on the ability of tests to detect individual risk of developing disease to inform prevention. The relative performance of 3 available TB tests-the tuberculin skin test (TST) and 2 interferon-γ release assays (IGRAs; QuantiFERON-TB Gold In-Tube [QFT-GIT] and SPOT.TB [TSPOT])-in predicting TB disease development in the US remains unknown.

OBJECTIVE

To compare the performance of the TST with the QFT-GIT and TSPOT IGRAs in predicting TB disease in high-risk populations.

DESIGN, SETTING, AND PARTICIPANTS: This prospective diagnostic study included participants at high risk of TB infection (TBI) or progression to TB disease at 10 US sites between 2012 and 2020. Participants of any age who had close contact with a case patient with infectious TB, were born in a country with medium or high TB incidence, had traveled recently to a high-incidence country, were living with HIV infection, or were from a population with a high local prevalence were enrolled from July 12, 2012, through May 5, 2017. Participants were assessed for 2 years after enrollment and through registry matches until the study end date (November 15, 2020). Data analysis was performed in June 2023.

EXPOSURES

At enrollment, participants were concurrently tested with 2 IGRAs (QFT-GIT from Qiagen and TSPOT from Oxford Immunotec) and the TST. Participants were classified as case patients with incident TB disease when diagnosed more than 30 days from enrollment.

MAIN OUTCOMES AND MEASURES

Estimated positive predictive value (PPV) ratios from generalized estimating equation models were used to compare test performance in predicting incident TB. Incremental changes in PPV were estimated to determine whether predictive performance significantly improved with the addition of a second test. Case patients with prevalent TB were examined in sensitivity analysis.

RESULTS

A total of 22 020 eligible participants were included in this study. Their median age was 32 (range, 0-102) years, more than half (51.2%) were male, and the median follow-up was 6.4 (range, 0.2-8.3) years. Most participants (82.0%) were born outside the US, and 9.6% were close contacts. Tuberculosis disease was identified in 129 case patients (0.6%): 42 (0.2%) had incident TB and 87 (0.4%) had prevalent TB. The TSPOT and QFT-GIT assays performed significantly better than the TST (PPV ratio, 1.65 [95% CI, 1.35-2.02] and 1.47 [95% CI, 1.22-1.77], respectively). The incremental gain in PPV, given a positive TST result, was statistically significant for positive QFT-GIT and TSPOT results (1.64 [95% CI, 1.40-1.93] and 1.94 [95% CI, 1.65-2.27], respectively).

CONCLUSIONS AND RELEVANCE

In this diagnostic study assessing predictive value, IGRAs demonstrated superior performance for predicting incident TB compared with the TST. Interferon-γ release assays provided a statistically significant incremental improvement in PPV when a positive TST result was known. These findings suggest that IGRA performance may enhance decisions to treat TBI and prevent TB.

摘要

重要性

消除美国的结核病(TB)疾病取决于测试检测个体发病风险的能力,以进行预防。目前尚不清楚三种现有 TB 测试(结核菌素皮肤试验(TST)和两种干扰素-γ释放测定法(IGRAs;QuantiFERON-TB Gold In-Tube [QFT-GIT] 和 SPOT.TB [TSPOT])在预测美国 TB 疾病发展方面的相对表现。

目的

比较 TST 与 QFT-GIT 和 TSPOT IGRAs 在预测高危人群中 TB 疾病方面的性能。

设计、地点和参与者:这项前瞻性诊断研究纳入了美国 10 个地点具有 TB 感染(TBI)或进展为 TB 疾病高风险的参与者。参与者为任何年龄,与有传染性 TB 的病例患者密切接触、出生于中或高 TB 发病率国家、最近前往高发病率国家旅行、HIV 感染、或来自具有高当地流行率的人群。参与者于 2012 年 7 月 12 日至 2017 年 5 月 5 日登记,并在登记后 2 年内进行评估,并通过登记匹配直至研究结束日期(2020 年 11 月 15 日)。数据分析于 2023 年 6 月进行。

暴露

在登记时,参与者同时接受了 2 种 IGRAs(Qiagen 的 QFT-GIT 和 Oxford Immunotec 的 TSPOT)和 TST 测试。当诊断出参与者在登记后 30 天以上出现 TB 疾病时,将其归类为新发 TB 疾病病例患者。

主要结果和测量

使用广义估计方程模型估计阳性预测值(PPV)比值,以比较测试在预测新发 TB 方面的性能。估计增量 PPV 以确定添加第二种测试是否显著改善了预测性能。在敏感性分析中检查了具有先前 TB 的病例患者。

结果

共有 22020 名符合条件的参与者纳入本研究。他们的中位年龄为 32 岁(范围,0-102 岁),超过一半(51.2%)为男性,中位随访时间为 6.4 年(范围,0.2-8.3 年)。大多数参与者(82.0%)出生在美国境外,9.6%为密切接触者。在 129 名病例患者中发现了 TB 疾病(0.6%):42 名(0.2%)患有新发 TB,87 名(0.4%)患有先前 TB。TSPOT 和 QFT-GIT 检测的表现明显优于 TST(PPV 比值分别为 1.65[95%CI,1.35-2.02]和 1.47[95%CI,1.22-1.77])。对于 TST 阳性结果,阳性 QFT-GIT 和 TSPOT 结果的 PPV 增益具有统计学意义(分别为 1.64[95%CI,1.40-1.93]和 1.94[95%CI,1.65-2.27])。

结论和相关性

在这项评估预测价值的诊断研究中,IGRAs 与 TST 相比,在预测新发 TB 方面表现出更好的性能。当已知 TST 结果为阳性时,干扰素-γ释放测定法在 PPV 方面提供了统计学上显著的增量改善。这些发现表明,IGRA 的性能可能会增强治疗 TBI 和预防 TB 的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5874/10993073/0ead1eb8f701/jamanetwopen-e244769-g001.jpg

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