Long-term exposure to fine particulate matter and hospitalization in COVID-19 patients
- PMID: 33550152
- PMCID: PMC7835077
- DOI: 10.1016/j.rmed.2021.106313
Long-term exposure to fine particulate matter and hospitalization in COVID-19 patients
Abstract
Background: Ecological evidence suggests that exposure to air pollution affects coronavirus disease 2019 (COVID-19) outcomes. However, no individual-level study has confirmed the association to date.
Methods: We identified COVID-19 patients diagnosed at the University of Cincinnati hospitals and clinics and estimated particulate matter ≤2.5 μm (PM2.5) exposure over a 10-year period (2008-2017) at their residential zip codes. We used logistic regression to evaluate the association between PM2.5 exposure and hospitalizations for COVID-19, adjusting for socioeconomic characteristics and comorbidities.
Results: Among the 1128 patients included in our study, the mean (standard deviation) PM2.5 was 11.34 (0.70) μg/m3 for the 10-year average exposure and 13.83 (1.03) μg/m3 for the 10-year maximal exposures. The association between long-term PM2.5 exposure and hospitalization for COVID-19 was contingent upon having pre-existing asthma or chronic obstructive pulmonary (COPD) (Pinteraction = 0.030 for average PM2.5 and Pinteraction = 0.001 for maximal PM2.5). In COVID-19 patients with asthma or COPD, the odds of hospitalization were 62% higher with 1 μg/m3 increment in 10-year average PM2.5 (odds ratio [OR]: 1.62, 95% confidence interval [CI]: 1.00-2.64) and 65% higher with 1 μg/m3 increase in 10-year maximal PM2.5 levels (OR: 1.65, 95% CI: 1.16-2.35). However, among COVID-19 patients without asthma or COPD, PM2.5 exposure was not associated with higher hospitalizations (OR: 0.84, 95% CI: 0.65-1.09 for average PM2.5 and OR: 0.78, 95% CI: 0.65-0.95 for maximal PM2.5).
Conclusions: Long-term exposure to PM2.5 is associated with higher odds of hospitalization in COVID-19 patients with pre-existing asthma or COPD.
Keywords: Air pollution; COVID-19; Fine particulate matter; PM(2.5); SARS-CoV-2.
Copyright © 2021 Elsevier Ltd. All rights reserved.
Conflict of interest statement
The authors have no conflict of interest.
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References
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- Mendy A., Apewokin S., Wells A.A., Morrow A.L. Factors associated with hospitalization and disease severity in a racially and ethnically diverse population of COVID-19 patients. medRxiv. 2020 Jun 27 2020.06.25.20137323.
-
- Van Donkelaar A., Martin R.V., Li C., Burnett R.T. Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environ. Sci. Technol. 2019;53(5):2595–2611. - PubMed
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