疫苗效果不大,新疗法没有重大突破,区分活动性结核和潜伏性结核感染(LTBI)的敏感和特异性方法将有助于早期诊断并限制病原体的传播.对多种细胞因子谱的分析提供了区分这两种疾病的可能性。
系统评价和荟萃分析。
PubMed,科克伦图书馆,2019年12月31日检索了临床Key和EMBASE数据库。
我们纳入了病例对照研究,考虑IFN-γ的队列研究和随机对照试验,TNF-α,IP-10、IL-2、IL-10、IL-12和VEGF作为区分活动性结核病和LTBI的生物标志物。
两名学生独立提取数据并评估偏倚风险。诊断或,灵敏度,特异性,阳性和阴性似然比以及曲线下面积(AUC)和95%CI用于评估诊断价值.
在确定的1315条记录中,14项研究被认为是合格的。IL-2的敏感性最高(0.84,95%CI:0.72-0.92),而VEGF的特异性最高(0.87,95%CI:0.73~0.94)。观察到VEGF的AUC最高(0.85,95%CI:0.81至0.88),其次是IFN-γ(0.84,95%CI:0.80至0.87)和IL-2(0.84,95%CI:0.81至0.87)。
细胞因子,如IL-2,IFN-γ和VEGF,可以用作有前途的生物标志物来区分活动性结核病和LTBI。
CRD42020170725。
With a marginally effective vaccine and no significant breakthroughs in new treatments, a sensitive and specific method to distinguish active tuberculosis from latent tuberculosis infection (LTBI) would allow for early diagnosis and limit the spread of the pathogen. The analysis of multiple cytokine profiles provides the possibility to differentiate the two diseases.
Systematic review and meta-analysis.
PubMed, Cochrane Library, Clinical Key and EMBASE databases were searched on 31 December 2019.
We included case-control studies, cohort studies and randomised controlled trials considering IFN-γ, TNF-α, IP-10, IL-2, IL-10, IL-12 and VEGF as biomarkers to distinguish active tuberculosis and LTBI.
Two students independently extracted data and assessed the risk of bias. Diagnostic OR, sensitivity, specificity, positive and negative likelihood ratios and area under the curve (AUC) together with 95% CI were used to estimate the diagnostic value.
Of 1315 records identified, 14 studies were considered eligible. IL-2 had the highest sensitivity (0.84, 95% CI: 0.72 to 0.92), while VEGF had the highest specificity (0.87, 95% CI: 0.73 to 0.94). The highest AUC was observed for VEGF (0.85, 95% CI: 0.81 to 0.88), followed by IFN-γ (0.84, 95% CI: 0.80 to 0.87) and IL-2 (0.84, 95% CI: 0.81 to 0.87).
Cytokines, such as IL-2, IFN-γ and VEGF, can be utilised as promising biomarkers to distinguish active tuberculosis from LTBI.
CRD42020170725.