Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2023 May 23;24(1):137.
doi: 10.1186/s12931-023-02450-1.

The association of spirometric small airways obstruction with respiratory symptoms, cardiometabolic diseases, and quality of life: results from the Burden of Obstructive Lung Disease (BOLD) study

Affiliations
Meta-Analysis

The association of spirometric small airways obstruction with respiratory symptoms, cardiometabolic diseases, and quality of life: results from the Burden of Obstructive Lung Disease (BOLD) study

Ben Knox-Brown et al. Respir Res. .

Abstract

Background: Spirometric small airways obstruction (SAO) is common in the general population. Whether spirometric SAO is associated with respiratory symptoms, cardiometabolic diseases, and quality of life (QoL) is unknown.

Methods: Using data from the Burden of Obstructive Lung Disease study (N = 21,594), we defined spirometric SAO as the mean forced expiratory flow rate between 25 and 75% of the FVC (FEF25-75) less than the lower limit of normal (LLN) or the forced expiratory volume in 3 s to FVC ratio (FEV3/FVC) less than the LLN. We analysed data on respiratory symptoms, cardiometabolic diseases, and QoL collected using standardised questionnaires. We assessed the associations with spirometric SAO using multivariable regression models, and pooled site estimates using random effects meta-analysis. We conducted identical analyses for isolated spirometric SAO (i.e. with FEV1/FVC ≥ LLN).

Results: Almost a fifth of the participants had spirometric SAO (19% for FEF25-75; 17% for FEV3/FVC). Using FEF25-75, spirometric SAO was associated with dyspnoea (OR = 2.16, 95% CI 1.77-2.70), chronic cough (OR = 2.56, 95% CI 2.08-3.15), chronic phlegm (OR = 2.29, 95% CI 1.77-4.05), wheeze (OR = 2.87, 95% CI 2.50-3.40) and cardiovascular disease (OR = 1.30, 95% CI 1.11-1.52), but not hypertension or diabetes. Spirometric SAO was associated with worse physical and mental QoL. These associations were similar for FEV3/FVC. Isolated spirometric SAO (10% for FEF25-75; 6% for FEV3/FVC), was also associated with respiratory symptoms and cardiovascular disease.

Conclusion: Spirometric SAO is associated with respiratory symptoms, cardiovascular disease, and QoL. Consideration should be given to the measurement of FEF25-75 and FEV3/FVC, in addition to traditional spirometry parameters.

Keywords: Cardiovascular disease; Quality of life; Small airways obstruction; Spirometry; Symptoms.

PubMed Disclaimer

Conflict of interest statement

Outside of the submitted work: DM declares being a consultant to GlaxoSmithKline, AstraZeneca, COPD Foundation. Royalties—Up to Date. Expert Witness-Schlesinger Law Firm. All other authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Pooled estimates for the effect of spirometric SAO measured using FEV3/FVC (a) and FEF25-75 (b) on respiratory symptoms in the BOLD study. Spirometric SAO: Small airways obstruction. Overall: spirometric SAO defined as FEV3/FVC or FEF25-75 less than the lower limit of normal (LLN). Male/Female: spirometric SAO as FEV3/FVC or FEF25-75 < LLN stratified by sex. Isolated spirometric SAO: FEV3/FVC or FEF25-75 < LLN with FEV1/FVC ≥ LLN. Dyspnoea measured according to mMRC Dyspnoea scale: 0–1 = minimal/no breathlessness, ≥ 2 = significant breathlessness. Chronic cough: cough on most days for 3 months each year. Chronic Phlegm: Phlegm on most days 3 months each year. Wheeze: Wheezing or whistling in the chest at any time in the last 12 months. OR 95% CI: odds ratio with 95% confidence intervals. I2 values of 0%, 25%, 50%, and 75% considered no, low, moderate, and high heterogeneity. Covariates in the adjusted model: sex, education level, body mass index, smoking status, accumulated cigarette pack-years, passive smoking, occupational exposure to dust, use of solid fuels for cooking/heating for > 6 months in a lifetime, reported doctor-diagnosed or history of tuberculosis, spirometric restriction, family history of COPD, and for Dyspnoea addition of CVD. The following sites could not be included in the analysis either due to a low number of participants reporting respiratory symptoms or singularity in the data: Benin (Sémé-Kpodji), Norway (Bergen), Malawi (Blantyre), China (Guangzhou), Germany (Hannover), Cameroon (Limbe), India (Mumbai) (Mysore), Austria (Salzburg), Tunisia (Sousse), Australia (Sydney), Albania (Tirana), Sweden (Uppsala)
Fig. 2
Fig. 2
Pooled estimates for the effect of spirometric SAO measured using FEV3/FVC (a) and FEF25-75 (b) on cardiometabolic disease in the BOLD study. Spirometric SAO: Small airways obstruction. Overall: spirometric SAO defined as FEV3/FVC or FEF25-75 less than the lower limit of normal (LLN). Male/Female: spirometric SAO as FEV3/FVC or FEF25-75 < LLN stratified by sex. Isolated spirometric SAO: FEV3/FVC or FEF25-75 < LLN with FEV1/FVC ≥ LLN. Cardiovascular disease: self-reported history of heart disease or stroke. OR (95% CI): odds ratio with 95% confidence intervals. I2 values of 0%, 25%, 50%, and 75% considered no, low, moderate, and high heterogeneity. Covariates in the adjusted model: sex, education level, body mass index, smoking status, accumulated cigarette pack-years and spirometric restriction. The following sites could not be included in the analysis either due to a low number of participants reporting co-morbidity or singularity in the data: For CVD; Malawi (Blantyre), Malawi (Chikwawa), Nigeria (Ife), Cameroon (Limbe), India (Mysore), India (Kashmir), Malaysia (Penang), Sudan (Gezeira), Morocco (Fes), China (Guangzhou), Jamaica, Trinidad & Tobago (Port of Spain), Saudi Arabia (Riyadh), and Albania (Tirana). For Hypertension; Benin (Sémé-Kpodji), Malawi (Chikwawa), and Sudan (Gezeira). For diabetes; India (Pune), Malawi (Chikwawa), Morocco (Fes), China (Guangzhou), Nigeria (Ife), Kyrgyzstan (Naryn), Cameroon (Limbe), Philippines (Manilla), India (Mumbai), Malaysia (Penang)
Fig. 3
Fig. 3
Pooled estimates for the effect of spirometric SAO measured using FEV3/FVC (a) and FEF25-75 (b) on physical and mental quality of life in the BOLD study. Spirometric SAO: Small airways obstruction. Overall: spirometric SAO defined as FEV3/FVC or FEF25-75 less than the lower limit of normal (LLN). Male/Female: spirometric SAO as FEV3/FVC or FEF25-75 < LLN stratified by sex. Isolated spirometric SAO: FEV3/FVC or FEF25-75 < LLN with FEV1/FVC ≥ LLN. Physical and mental QoL measured using the SF-12 questionnaire. Negative regression coefficient indicates that having SAO is associated with a reduction in SF-12 score in comparison to not having SAO. I2 values of 0%, 25%, 50%, and 75% considered no, low, moderate, and high heterogeneity. Covariates in the adjusted model: sex, education level, body mass index, smoking status, accumulated cigarette pack-years, passive smoking, occupational exposure to dust, use of solid fuels for cooking/heating for > 6 months in a lifetime, reported doctor-diagnosed or history of tuberculosis, spirometric restriction, family history of COPD, CVD, hypertension, and diabetes. Estimates based on the analysis of 31 sites, the following sites could not be included in the analysis either due to low response rate to the questionnaire; Turkey (Adana) and China (Guangzhou) or where QoL was measured using a different tool; Benin (Sémé-Kpodji), Cameroon (Limbe), Jamaica, Kyrgyzstan (Chui), Kyrgyzstan (Naryn), Malaysia (Penang), Pakistan (Karachi), Sri Lanka (Colombo)

Similar articles

Cited by

References

    1. Knox-Brown B, Mulhern O, Feary J, et al. Spirometry parameters used to define small airways obstruction in population-based studies: systematic review. Respir Res. 2022;23(1):67. doi: 10.1186/s12931-022-01990-2. - DOI - PMC - PubMed
    1. Trinkmann F, Watz H, Herth FJF. Why do we still cling to spirometry for assessing small airway function? Eur Respir J. 2020 doi: 10.1183/13993003.01071-2020. - DOI - PubMed
    1. Weibel ER. Morphometry of the human lung. Saint Louis: Elsevier Science & Technology; 1963.
    1. Kraft M, Richardson M, Hallmark B, et al. The role of small airway dysfunction in asthma control and exacerbations: a longitudinal, observational analysis using data from the ATLANTIS study. Lancet Respir Med. 2022 doi: 10.1016/s2213-2600(21)00536-1. - DOI - PubMed
    1. Crisafulli E, Pisi R, Aiello M, et al. Prevalence of small-airway dysfunction among COPD patients with different GOLD stages and its role in the impact of disease. Respiration. 2017;93(1):32–41. doi: 10.1159/000452479. - DOI - PubMed

Publication types