The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort
Abstract Background Aging has been evidenced to bring about some structural and functional lung changes, especially in COPD. However, whether aging affects SAD, a possible precursor of COPD, has not been well characterized. Objective We aimed to comprehensively assess the relationship between aging...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-09-01
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| Series: | Respiratory Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12931-022-02148-w |
| _version_ | 1828736528079126528 |
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| author | Cuiqiong Dai Fan Wu Zihui Wang Jieqi Peng Huajing Yang Youlan Zheng Lifei Lu Ningning Zhao Zhishan Deng Shan Xiao Xiang Wen Jianwu Xu Peiyu Huang Kunning Zhou Xiaohui Wu Yumin Zhou Pixin Ran |
| author_facet | Cuiqiong Dai Fan Wu Zihui Wang Jieqi Peng Huajing Yang Youlan Zheng Lifei Lu Ningning Zhao Zhishan Deng Shan Xiao Xiang Wen Jianwu Xu Peiyu Huang Kunning Zhou Xiaohui Wu Yumin Zhou Pixin Ran |
| author_sort | Cuiqiong Dai |
| collection | DOAJ |
| description | Abstract Background Aging has been evidenced to bring about some structural and functional lung changes, especially in COPD. However, whether aging affects SAD, a possible precursor of COPD, has not been well characterized. Objective We aimed to comprehensively assess the relationship between aging and SAD from computed tomography, impulse oscillometry, and spirometry perspectives in Chinese. Methods We included 1859 participants from ECOPD, and used a linear-by-linear association test for evaluating the prevalence of SAD across various age subgroups, and multivariate regression models for determining the impact of age on the risk and severity of SAD. We then repeated the analyses in these subjects stratified by airflow limitation. Results The prevalence of SAD increases over aging regardless of definitional methods. After adjustment for other confounding factors, per 10-yrs increase in age was significantly associated with the risk of CT-defined SAD (OR 2.57, 95% CI 2.13 to 3.10) and the increase in the severity of air trapping (β 2.09, 95% CI − 0.06 to 4.25 for LAA-856), airway reactance (β − 0.02, 95% CI − 0.04 to − 0.01 for X5; β 0.30, 95% CI 0.13 to 0.47 for AX; β 1.75, 95% CI 0.85 to 2.66 for Fres), as well as the decrease in expiratory flow rates (β − 3.95, 95% CI − 6.19 to − 1.71 for MMEF%predicted; β − 5.42, 95% CI − 7.88 to − 2.95 for FEF50%predicted) for SAD. All these associations were generally maintained in SAD defined by IOS or spirometry. After stratification of airflow limitation, we further found that the effect of age on LAA-856 was the most significant among almost all subgroups. Conclusions Aging is significantly associated with the prevalence, increased risk, as well as worse severity of SAD. CT may be a more optimal measure to assess aging-related SAD. The molecular mechanisms for the role of aging in SAD need to be explored in the future. Trial registration Chinese Clinical Trial Registry ChiCTR1900024643. Registered on 19 July 2019 |
| first_indexed | 2024-04-12T23:27:01Z |
| format | Article |
| id | doaj.art-66252e1908764e0ebeed4c6c678a3c32 |
| institution | Directory Open Access Journal |
| issn | 1465-993X |
| language | English |
| last_indexed | 2024-04-12T23:27:01Z |
| publishDate | 2022-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Respiratory Research |
| spelling | doaj.art-66252e1908764e0ebeed4c6c678a3c322022-12-22T03:12:23ZengBMCRespiratory Research1465-993X2022-09-0123111310.1186/s12931-022-02148-wThe association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohortCuiqiong Dai0Fan Wu1Zihui Wang2Jieqi Peng3Huajing Yang4Youlan Zheng5Lifei Lu6Ningning Zhao7Zhishan Deng8Shan Xiao9Xiang Wen10Jianwu Xu11Peiyu Huang12Kunning Zhou13Xiaohui Wu14Yumin Zhou15Pixin Ran16State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical UniversityAbstract Background Aging has been evidenced to bring about some structural and functional lung changes, especially in COPD. However, whether aging affects SAD, a possible precursor of COPD, has not been well characterized. Objective We aimed to comprehensively assess the relationship between aging and SAD from computed tomography, impulse oscillometry, and spirometry perspectives in Chinese. Methods We included 1859 participants from ECOPD, and used a linear-by-linear association test for evaluating the prevalence of SAD across various age subgroups, and multivariate regression models for determining the impact of age on the risk and severity of SAD. We then repeated the analyses in these subjects stratified by airflow limitation. Results The prevalence of SAD increases over aging regardless of definitional methods. After adjustment for other confounding factors, per 10-yrs increase in age was significantly associated with the risk of CT-defined SAD (OR 2.57, 95% CI 2.13 to 3.10) and the increase in the severity of air trapping (β 2.09, 95% CI − 0.06 to 4.25 for LAA-856), airway reactance (β − 0.02, 95% CI − 0.04 to − 0.01 for X5; β 0.30, 95% CI 0.13 to 0.47 for AX; β 1.75, 95% CI 0.85 to 2.66 for Fres), as well as the decrease in expiratory flow rates (β − 3.95, 95% CI − 6.19 to − 1.71 for MMEF%predicted; β − 5.42, 95% CI − 7.88 to − 2.95 for FEF50%predicted) for SAD. All these associations were generally maintained in SAD defined by IOS or spirometry. After stratification of airflow limitation, we further found that the effect of age on LAA-856 was the most significant among almost all subgroups. Conclusions Aging is significantly associated with the prevalence, increased risk, as well as worse severity of SAD. CT may be a more optimal measure to assess aging-related SAD. The molecular mechanisms for the role of aging in SAD need to be explored in the future. Trial registration Chinese Clinical Trial Registry ChiCTR1900024643. Registered on 19 July 2019https://doi.org/10.1186/s12931-022-02148-wSmall airway dysfunctionAgingComputed tomographyImpulse oscillometrySpirometry |
| spellingShingle | Cuiqiong Dai Fan Wu Zihui Wang Jieqi Peng Huajing Yang Youlan Zheng Lifei Lu Ningning Zhao Zhishan Deng Shan Xiao Xiang Wen Jianwu Xu Peiyu Huang Kunning Zhou Xiaohui Wu Yumin Zhou Pixin Ran The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort Respiratory Research Small airway dysfunction Aging Computed tomography Impulse oscillometry Spirometry |
| title | The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort |
| title_full | The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort |
| title_fullStr | The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort |
| title_full_unstemmed | The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort |
| title_short | The association between small airway dysfunction and aging: a cross-sectional analysis from the ECOPD cohort |
| title_sort | association between small airway dysfunction and aging a cross sectional analysis from the ecopd cohort |
| topic | Small airway dysfunction Aging Computed tomography Impulse oscillometry Spirometry |
| url | https://doi.org/10.1186/s12931-022-02148-w |
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