Zhang Li, Liu Shuang, Li Mei, Xu Xiaofeng
Department of Respiratory, Peking University International Hospital, Beijing, China.
J Asthma. 2020 Mar;57(3):335-342. doi: 10.1080/02770903.2019.1568452. Epub 2019 Feb 1.
We aimed to evaluate the diagnostic value of fractional exhaled nitric oxide (FeNO) in cough-variant asthma (CVA) detection. Relevant studies on the FeNO test in patients with CVA were retrieved from electronic databases including PubMed, Medline, Springer, Elsevier Science Direct, the Cochrane Library, and Google Scholar, up to August 2018. Meta-analysis for sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of the FeNO test were conducted after extracting related data from the included studies. Meta-DiSc 1.4 and Stata 12.0 software were applied to perform the meta-analysis. In total, 12 studies involving 1968 participants were selected for the meta-analysis. The pooled results of the FeNO test for CVA diagnosis showed that the sensitivity was 0.74 (95% confidence interval [CI] = 0.70 to 0.77), specificity was 0.82 (95% CI = 0.80 to 0.84), PLR was 4.15 (95% CI = 3.04 to 5.65), NLR was 0.30 (95% CI = 0.22 to 0.41), and DOR was 15.33 (95% CI = 8.43 to 27.86). The area under the curve and Q* index were 0.87 and 0.80, respectively. Moreover, no significant publication bias was observed using Egger's linear regression test ( > 0.05). The FeNO test might be an appropriate diagnostic tool for CVA detection.
我们旨在评估呼出气一氧化氮分数（FeNO）在咳嗽变异性哮喘（CVA）检测中的诊断价值。截至2018年8月，从包括PubMed、Medline、Springer、Elsevier Science Direct、Cochrane图书馆和谷歌学术在内的电子数据库中检索了有关CVA患者FeNO检测的相关研究。在从纳入研究中提取相关数据后，对FeNO检测的敏感性、特异性、阳性似然比（PLR）、阴性似然比（NLR）和诊断比值比（DOR）进行了荟萃分析。应用Meta-DiSc 1.4和Stata 12.0软件进行荟萃分析。总共选择了12项涉及1968名参与者的研究进行荟萃分析。FeNO检测用于CVA诊断的汇总结果显示，敏感性为0.74（95%置信区间[CI]=0.70至0.77），特异性为0.82（95%CI=0.80至0.84），PLR为4.15（95%CI=3.04至5.65），NLR为0.30（95%CI=0.22至0.41），DOR为15.33（95%CI=8.43至27.86）。曲线下面积和Q*指数分别为0.87和0.80。此外，使用Egger线性回归检验未观察到显著的发表偏倚（>0.05）。FeNO检测可能是一种适用于CVA检测的诊断工具。
