Department of Microbiology and Immunology, Kunming Medical University, Kunming, Yunnan Province, China.
School of Basic Medical Sciences, Department of Medical Imaging, Affiliated Yanan Hospital, Kunming Medical University, Kunming, Yunnan Province, China.
Lancet Infect Dis. 2020 Dec;20(12):1457-1469. doi: 10.1016/S1473-3099(20)30276-0. Epub 2020 Jul 13.
Use of an interferon-γ (IFN-γ) release assay or tuberculin skin test for detection and management of latent tuberculosis infection is controversial. For both types of test, we assessed their predictive value for the progression of latent infection to active tuberculosis disease, the targeting value of preventive treatment, and the necessity of dual testing.
In this systematic review and meta-analysis, we searched PubMed, Embase, Web of Science, and the Cochrane Library, with no start date or language restrictions, on Oct 18, 2019, using the keywords ("latent tuberculosis" OR "latent tuberculosis infection" OR "LTBI") AND ("interferon gamma release assays" OR "Interferon-gamma Release Test" OR "IGRA" OR "QuantiFERON®-TB in tube" OR "QFT" OR "T-SPOT.TB") AND ("tuberculin skin test" OR "tuberculin test" OR "Mantoux test" OR "TST"). We included articles that used a cohort study design; included information that individuals with latent tuberculosis infection detected by IFN-γ release assay, tuberculin skin test, or both, progressed to active tuberculosis; reported information about treatment; and were limited to high-risk populations. We excluded studies that included patients with active or suspected tuberculosis at baseline, evaluated a non-commercial IFN-γ release assay, and had follow-up of less than 1 year. We extracted study details (study design, population investigated, tests used, follow-up period) and the number of individuals observed at baseline, who progressed to active tuberculosis, and who were treated. We then calculated the pooled risk ratio (RR) for disease progression, positive predictive value (PPV), and negative predictive value (NPV) of IFN-γ release assay versus tuberculin skin test.
We identified 1823 potentially eligible studies after exclusion of duplicates, of which 256 were eligible for full-text screening. From this screening, 40 studies (50 592 individuals in 41 cohorts) were identified as eligible and included in our meta-analysis. Pooled RR for the rate of disease progression in untreated individuals who were positive by IFN-γ release assay versus those were negative was 9·35 (95% CI 6·48-13·49) compared with 4·24 (3·30-5·46) for tuberculin skin test. Pooled PPV for IFN-γ release assay was 4·5% (95% CI 3·3-5·8) compared with 2·3% (1·5-3·1) for tuberculin skin test. Pooled NPV for IFN-γ release assay was 99·7% (99·5-99·8) compared with 99·3% (99·0-99·5) for tuberculin skin test. Pooled RR for rates of disease progression in individuals positive by IFN-γ release assay who were untreated versus those who were treated was 3·09 (95% CI 2·08-4·60) compared with 1·11 (0·69-1·79) for the same populations who were positive by tuberculin skin test. Pooled proportion of disease progression for individuals who were positive by IFN-γ release assay and tuberculin skin test was 6·1 (95% CI 2·3-11·5). Pooled RR for rates of disease progression in individuals who were positive by IFN-γ release assay and tuberculin skin test who were untreated versus those who were treated was 7·84 (95% CI 4·44-13·83).
IFN-γ release assays have a better predictive ability than tuberculin skin tests. Individuals who are positive by IFN-γ release assay might benefit from preventive treatment, but those who are positive by tuberculin skin test probably will not. Dual testing might improve detection, but further confirmation is needed.
National Natural Science Foundation of China and Natural Foundation of Yunnan Province.
干扰素-γ(IFN-γ)释放试验或结核菌素皮肤试验用于检测和管理潜伏性结核感染存在争议。对于这两种类型的检测,我们评估了它们对潜伏性感染向活动性结核病发展的预测价值、预防性治疗的靶向价值以及双重检测的必要性。
在本次系统评价和荟萃分析中,我们于 2019 年 10 月 18 日在 PubMed、Embase、Web of Science 和 Cochrane Library 中检索了无起始日期或语言限制的文献,使用的关键词是(“潜伏性结核”或“潜伏性结核感染”或“LTBI”)和(“干扰素γ释放试验”或“干扰素释放试验”或“IGRA”或“QuantiFERON®-TB in tube”或“QFT”或“T-SPOT.TB”)和(“结核菌素皮肤试验”或“结核菌素试验”或“Mantoux 试验”或“TST”)。我们纳入了使用队列研究设计的文章;纳入了通过 IFN-γ 释放试验、结核菌素皮肤试验或两者检测出潜伏性结核感染的个体进展为活动性结核病的信息;报告了关于治疗的信息;并仅限于高危人群。我们排除了基线时患有活动性或疑似结核病、评估非商业性 IFN-γ 释放试验以及随访时间少于 1 年的研究。我们提取了研究细节(研究设计、调查人群、使用的检测、随访期)以及基线时观察到的个体数量、进展为活动性结核病的个体数量和接受治疗的个体数量。然后我们计算了 IFN-γ 释放试验与结核菌素皮肤试验相比疾病进展的汇总风险比(RR)、阳性预测值(PPV)和阴性预测值(NPV)。
我们排除重复项后,共识别出 1823 篇潜在合格的研究,其中 256 篇符合全文筛选标准。通过此次筛选,确定了 40 项研究(41 项队列中 50592 名个体)符合纳入标准,并纳入了我们的荟萃分析。与结核菌素皮肤试验相比,未接受治疗的 IFN-γ 释放试验阳性个体的疾病进展率的汇总 RR 为 9.35(95%CI 6.48-13.49),而结核菌素皮肤试验的 RR 为 4.24(3.30-5.46)。IFN-γ 释放试验的汇总 PPV 为 4.5%(95%CI 3.3-5.8),而结核菌素皮肤试验的 PPV 为 2.3%(1.5-3.1)。IFN-γ 释放试验的汇总 NPV 为 99.7%(99.5-99.8),而结核菌素皮肤试验的 NPV 为 99.3%(99.0-99.5)。与结核菌素皮肤试验阳性且未接受治疗的个体相比,IFN-γ 释放试验阳性且未接受治疗的个体的疾病进展率的汇总 RR 为 3.09(95%CI 2.08-4.60),而结核菌素皮肤试验阳性且未接受治疗的个体的 RR 为 1.11(0.69-1.79)。IFN-γ 释放试验和结核菌素皮肤试验阳性个体的疾病进展比例为 6.1%(95%CI 2.3-11.5)。与结核菌素皮肤试验阳性且未接受治疗的个体相比,IFN-γ 释放试验和结核菌素皮肤试验阳性且未接受治疗的个体的疾病进展率的汇总 RR 为 7.84(95%CI 4.44-13.83)。
IFN-γ 释放试验比结核菌素皮肤试验具有更好的预测能力。IFN-γ 释放试验阳性的个体可能受益于预防性治疗,但结核菌素皮肤试验阳性的个体可能不会。双重检测可能会提高检测的准确性,但还需要进一步证实。
国家自然科学基金和云南省自然科学基金。