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基于 2013 - 2018 年美国国家健康与营养检查调查的横断面研究:美国中老年人血清炎症标志物与慢性阻塞性肺疾病之间的关系
Authors Chen Y, Pei Y, Mo W, Wang H
Received 15 April 2025
Accepted for publication 31 July 2025
Published 13 August 2025 Volume 2025:20 Pages 2837—2846
DOI https://doi.org/10.2147/COPD.S534504
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Fanny Wai San Ko
Yefeng Chen,1 Yanmin Pei,2 Weiqiang Mo,1 Haiqin Wang1
1Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People’s Republic of China; 2Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People’s Republic of China
Correspondence: Haiqin Wang, Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People’s Republic of China, Email 1286093254@qq.com
Objective: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease characterized by increased inflammation, persistent decline in lung function, and extensive lung damage. Research has shown that inflammation plays a crucial role in the formation and progression of COPD. The systemic inflammation response index (SIRI) is an emerging inflammatory biomarker whose clinical significance in COPD remains undetermined. This study aims to explore the potential association between serum inflammatory marker SIRI levels and the prevalence of COPD.
Methods: This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) database from 2013– 2018. A total of 10,273 participants were analyzed and divided into two groups: COPD (n = 595) and non-COPD (n = 9678). Comparative analysis of demographic and clinical characteristics was performed between cohorts. The SIRI was calculated based on the counts of monocytes, neutrophils, and lymphocytes. Weighted logistic regression models were applied to assess the association between SIRI and COPD, while restricted cubic spline (RCS) curves were utilized to investigate potential non-linear relationships. Additionally, subgroup and interaction analyses were performed.
Results: Our study included 10,273 participants, of whom 595 were diagnosed with COPD, while 9678 were diagnosed with non-COPD. In the fully adjusted logistic regression model, SIRI was significantly positively correlated with COPD (OR = 1.96, 95% CI = 1.34– 2.87). The analysis of the RCS curve revealed a non-linear relationship between SIRI and COPD (P < 0.05). Subgroup and interaction analyses further confirmed the robustness of our findings.
Conclusion: Serum inflammatory marker SIRI levels are positively correlated with the occurrence of COPD and exhibit a non-linear relationship.
Keywords: chronic obstructive pulmonary disease, SIRI, NHANES, inflammatory markers, cross-sectional study