Short-term exposure to air pollution and hospital admission after COVID-19 in Catalonia: the COVAIR-CAT study

Author:

Alari Anna123ORCID,Ranzani Otavio123ORCID,Olmos Sergio123,Milà Carles123,Rico Alex123,Ballester Joan1,Basagaña Xavier123ORCID,Dadvand Payam123,Duarte-Salles Talita45ORCID,Nieuwenhuijsen Mark123,Vivanco-Hidalgo Rosa Maria6,Tonne Cathryn123

Affiliation:

1. Barcelona Institute for Global Health, ISGlobal , Barcelona, Spain

2. Universitat Pompeu Fabra (UPF) , Barcelona, Spain

3. CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain

4. Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol) , Barcelona, Spain

5. Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands

6. Agency for Health Quality and Assessment of Catalonia (AQuAS) , Barcelona, Spain

Abstract

Abstract Background A growing body of evidence has reported positive associations between long-term exposure to air pollution and poor COVID-19 outcomes. Inconsistent findings have been reported for short-term air pollution, mostly from ecological study designs. Using individual-level data, we studied the association between short-term variation in air pollutants [nitrogen dioxide (NO2), particulate matter with a diameter of <2.5 µm (PM2.5) and a diameter of <10 µm (PM10) and ozone (O3)] and hospital admission among individuals diagnosed with COVID-19. Methods The COVAIR-CAT (Air pollution in relation to COVID-19 morbidity and mortality: a large population-based cohort study in Catalonia, Spain) cohort is a large population-based cohort in Catalonia, Spain including 240 902 individuals diagnosed with COVID-19 in the primary care system from 1 March until 31 December 2020. Our outcome was hospitalization within 30 days of COVID-19 diagnosis. We used individual residential address to assign daily air-pollution exposure, estimated using machine-learning methods for spatiotemporal prediction. For each pandemic wave, we fitted Cox proportional-hazards models accounting for non-linear-distributed lagged exposure over the previous 7 days. Results Results differed considerably by pandemic wave. During the second wave, an interquartile-range increase in cumulative weekly exposure to air pollution (lag0_7) was associated with a 12% increase (95% CI: 4% to 20%) in COVID-19 hospitalizations for NO2, 8% (95% CI: 1% to 16%) for PM2.5 and 9% (95% CI: 3% to 15%) for PM10. We observed consistent positive associations for same-day (lag0) exposure, whereas lag-specific associations beyond lag0 were generally not statistically significant. Conclusions Our study suggests positive associations between NO2, PM2.5 and PM10 and hospitalization risk among individuals diagnosed with COVID-19 during the second wave. Cumulative hazard ratios were largely driven by exposure on the same day as hospitalization.

Funder

Health Effects Institute

Publisher

Oxford University Press (OUP)

Reference50 articles.

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