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Short-term exposure to air pollution and hospital admission after COVID-19 in Catalonia: the COVAIR-CAT study.
Alari, Anna; Ranzani, Otavio; Olmos, Sergio; Milà, Carles; Rico, Alex; Ballester, Joan; Basagaña, Xavier; Dadvand, Payam; Duarte-Salles, Talita; Nieuwenhuijsen, Mark; Vivanco-Hidalgo, Rosa Maria; Tonne, Cathryn.
Afiliação
  • Alari A; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
  • Ranzani O; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Olmos S; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Milà C; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
  • Rico A; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Ballester J; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Basagaña X; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
  • Dadvand P; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Duarte-Salles T; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Nieuwenhuijsen M; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
  • Vivanco-Hidalgo RM; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Tonne C; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Int J Epidemiol ; 53(2)2024 Feb 14.
Article em En | MEDLINE | ID: mdl-38514998
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Poluição do Ar / COVID-19 Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Poluição do Ar / COVID-19 Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article