已发表论文

慢性阻塞性肺病患者呼出的一氧化氮:系统综述和荟萃分析

 

Authors Lu Z, Huang W, Wang L, Xu N, Ding Q, Cao C

Received 18 February 2018

Accepted for publication 17 May 2018

Published 30 August 2018 Volume 2018:13 Pages 2695—2705

DOI https://doi.org/10.2147/COPD.S165780

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Andrew Yee

Peer reviewer comments 3

Editor who approved publication: Professor Chunxue Bai

Background: Fractional exhaled nitric oxide (FENO) is a useful and noninvasive biomarker for eosinophilic airway inflammation, particularly in asthma. However, its utility in chronic obstructive pulmonary disease (COPD) remains controversial. In this study, we performed a systematic review and meta-analysis to evaluate FENO levels in COPD.
Methods: A search of PubMed, Embase, Cochrane Library, and clinical trial registry was conducted from inception to January 2018. Studies were included if they reported FENO levels in patients with COPD and healthy controls. We then extracted relevant information and analyzed data. Standard mean difference (SMD) with 95% confidence interval (CI) was applied in this meta-analysis.
Results: A total of 2,073 studies were reviewed for eligibility, with 24 studies pooled for analysis. The FENO levels in patients with COPD were elevated mildly compared with healthy controls (SMD 1.28, 95% CI 0.60–1.96). A similar result was also observed in stable COPD, with an SMD of 1.21 (95% CI 0.47–1.96). On the other hand, we found no association between FENO levels and exacerbated COPD. Additionally, for patients with COPD, ex-smokers had higher levels of FENO than current smokers (SMD 2.05, 95% CI 1.13–2.97).
Conclusion: Our studies demonstrated a mild elevation of FENO in COPD, and the association between exacerbated COPD and FENO levels needs to be further explored. The potential mechanism is still unknown and conflicting.
Keywords: biomarker, chronic obstructive pulmonary disease, fractional exhaled nitric oxide, meta-analysis




Figure 1 Flow diagram of literature search and study selection.