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首页> 外文期刊>The journal of asthma >Diagnostic value of fractional exhaled nitric oxide in cough-variant asthma: an updated meta-analysis
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Diagnostic value of fractional exhaled nitric oxide in cough-variant asthma: an updated meta-analysis

机译:分数呼出一氧化氮在咳嗽变异哮喘中的诊断价值:更新的荟萃分析

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Objective: We aimed to evaluate the diagnostic value of fractional exhaled nitric oxide (FeNO) in cough-variant asthma (CVA) detection. Methods: 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. Results: 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 (P > 0.05). Conclusion: The FeNO test might be an appropriate diagnostic tool for CVA detection.
机译:目的:我们旨在评估分数呼出的一氧化氮(FENO)在咳嗽变体哮喘(CVA)检测中的诊断价值。方法:从包括PubMed,Medline,Springer,Elsevier科学直接,Cochrane图书馆和Google Scholar的电子数据库,Cochrane图书馆和Google Scholar的相关研究,达到2018年8月,Cockrane图书馆和谷歌学者的相关研究。Meta分析敏感,特异性,积极在提取包括的研究中提取相关数据后,对FENo试验的似然比(PLR),负似然比(NLR)和诊断差距比(DOR)进行进行。 Meta-Disc 1.4和Stata 12.0软件应用于Meta分析。结果:总共有12项涉及1968年参与者的研究进行了荟萃分析。 CVA诊断的FENO试验的汇总结果表明,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)。曲线下的区域和Q *指数分别为0.87和0.80。此外,使用Egger的线性回归测试没有观察到显着的出版物偏差(P> 0.05)。结论:FENO测试可能是CVA检测的适当诊断工具。

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