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Record W4408499533 · doi:10.2147/copd.s498088

COPD Exacerbations, Air Pollutant Fluctuations, and Individual-Level Factors in the Pandemic Era

2025· article· en· W4408499533 on OpenAlexafffundabout
Sahar Mikaeeli, Dany Doiron, Jean Bourbeau, Pei Zhi Li, Shawn D. Aaron, Kenneth R. Chapman, Paul Hernandez, François Maltais, Darcy D. Marciniuk, Denis E. O’Donnell, Don D. Sin, Brandie Walker, Wan C. Tan, Simon Rousseau, Bryan Ross

Bibliographic record

VenueInternational Journal of COPD · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of CalgarySt. Paul's HospitalUniversity of British ColumbiaQueen's UniversityUniversity of SaskatchewanUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecDalhousie UniversityToronto General HospitalUniversity of TorontoOttawa HospitalUniversity of OttawaMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchGlaxoSmithKlineGovernment of CanadaMcGill University Health CentreMcGill UniversityUniversity of OttawaUniversity of TorontoDalhousie UniversityReseau canadien de recherche respiratoireAstraZeneca CanadaQueen's UniversityJohns Hopkins UniversityAstraZeneca
KeywordsCOPDPandemicCoronavirus disease 2019 (COVID-19)Air pollutantsPollutantMedicineEnvironmental healthEnvironmental scienceAir pollutionInternal medicineDiseaseChemistryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Purpose: Pandemic-era associations between air pollutant exposures and exacerbations of chronic obstructive pulmonary disease (COPD) are under-explored. Given the considerable observed pandemic-era pollutant fluctuations, these associations were investigated along with possible individual-level risk factors. Patients and Methods: Participants with spirometry-confirmed COPD from Canadian Cohort Obstructive Lung Disease (CanCOLD) were included, with data collected before (“pre-pandemic”) and during (“pandemic”) the COVID-19 pandemic. Nitrogen dioxide (NO 2 ), fine particulate matter (PM 2.5 ), ground-level ozone (O 3 ), total oxidant (O x ) and weather data were obtained from national databases. Associations between each air pollutant and “symptom-based” exacerbations (increased dyspnea or sputum volume/purulence ≥ 48hrs) and “event-based” exacerbations (“symptom-based” plus requiring antibiotics, corticosteroids, or unscheduled healthcare use) were estimated in separate models. Generalized estimating equations (GEE) models were reported as rate ratios (RRs) per interquartile range (IQR) increment in pollutant concentration with 95% confidence intervals (95% CIs). Results: NO 2 , PM 2.5 , and O x (NO 2 +O 3 ) concentrations (but not O 3 ) fell significantly during the pandemic. In the 673 participants with COPD included, both symptom-based and event-based exacerbation rates were likewise significantly higher during the pre-pandemic period. During the pre-pandemic period, O x was positively associated with symptom-based exacerbations (RR: 1.21 [1.08,1.36]). During the pandemic period, O x was positively associated with symptom-based (1.46 [1.13,1.89]) and event-based (1.43 [1.00,2.05]) exacerbations. Fewer self-reported pandemic protective behaviors, and higher viral infectious symptoms, were also associated with exacerbations. In stepwise multivariable risk-factor analyses, female gender (1.23 [1.04,1.45] and 1.41 [1.13,1.76]) and co-morbid asthma (1.65 [1.34,2.03] and 1.54 [1.19,2.00]) were associated with symptom-based and event-based exacerbations, respectively, blood eosinophils (1.42 [1.10,1.84]) were associated with event-based exacerbations, and each IQR increment in O x was associated with symptom-based exacerbations (1.31 [1.06,1.61]). Conclusion: O x exposure was consistently associated with symptom-based COPD exacerbations, and female gender, co-morbid asthma, and blood eosinophilia were found to be relevant risk factors. Plain Language Summary: Previous research has identified air pollution as a relevant non-infectious trigger for episodic ‘lung attacks’, referred to as exacerbations, in patients living with chronic obstructive pulmonary disease (COPD). Very few studies, however, have studied this relationship during the COVID-19 pandemic. During that time, there were large fluctuations in key forms of air pollution (air pollutants). The few studies available used population-level approaches and relied on hospital administrative coding of visits to classify the disease and to identify exacerbation events. This approach may lead to potentially missing clinically important non-severe events and may limit individual-level risk factor assessment around this period. This study was conducted in participants with COPD as confirmed by the gold-standard test, spirometry, who were living in 9 Canadian cities across 6 provinces. The results showed that while the air pollutants nitrogen dioxide (NO 2 ), fine particulate matter (PM 2.5 ), and total oxidant (O x ) concentrations were all notably higher before the pandemic (pre-pandemic), only ambient O x concentration was consistently associated with exacerbations. This relationship was seen across both pre-pandemic and pandemic periods. Female gender, co-morbid asthma, and eosinophilia were identified as notable risk factors for exacerbations and were effect modifiers for the association between O x exposure and exacerbations. This study adds to a very limited existing literature on the relationship between air pollutant fluctuations and exacerbations of COPD around the pandemic era and highlights important risk factors to guide targeted public health and exposure response interventions. Keywords: Chronic obstructive pulmonary disease, acute exacerbations of chronic obstructive pulmonary disease, ambient air pollution, COVID-19 pandemic, total oxidant concentration

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.342
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2025
Admission routes3
Has abstractyes

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Same venueInternational Journal of COPDSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207