Your browser doesn't support javascript.
Air pollution and the pandemic: Long-term PM2.5 exposure and disease severity in COVID-19 patients.
Mendy, Angelico; Wu, Xiao; Keller, Jason L; Fassler, Cecily S; Apewokin, Senu; Mersha, Tesfaye B; Xie, Changchun; Pinney, Susan M.
  • Mendy A; Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
  • Wu X; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Keller JL; Center for Health Informatics, Department of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
  • Fassler CS; Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
  • Apewokin S; Division of Infectious Diseases, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
  • Mersha TB; Division of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, USA.
  • Xie C; Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
  • Pinney SM; Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Respirology ; 26(12): 1181-1187, 2021 12.
Article in English | MEDLINE | ID: covidwho-1378057
ABSTRACT
BACKGROUND AND

OBJECTIVE:

Ecological studies have suggested an association between exposure to particulate matter ≤2.5 µm (PM2.5 ) and coronavirus disease 2019 (COVID-19) severity. However, these findings are yet to be validated in individual-level studies. We aimed to determine the association of long-term PM2.5 exposure with hospitalization among individual patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

METHODS:

We estimated the 10-year (2009-2018) PM2.5 exposure at the residential zip code of COVID-19 patients diagnosed at the University of Cincinnati healthcare system between 13 March 2020 and 30 September 2020. Logistic regression was used to determine the odds ratio (OR) and 95% CI for COVID-19 hospitalizations associated with PM2.5 , adjusting for socioeconomic characteristics and comorbidities.

RESULTS:

Among the 14,783 COVID-19 patients included in our study, 13.6% were hospitalized; the geometric mean (SD) PM2.5 was 10.48 (1.12) µg/m3 . In adjusted analysis, 1 µg/m3 increase in 10-year annual average PM2.5 was associated with 18% higher hospitalization (OR 1.18, 95% CI 1.11-1.26). Likewise, 1 µg/m3 increase in PM2.5 estimated for the year 2018 was associated with 14% higher hospitalization (OR 1.14, 95% CI 1.08-1.21).

CONCLUSION:

Long-term PM2.5 exposure is associated with increased hospitalization in COVID-19. Therefore, more stringent COVID-19 prevention measures may be needed in areas with higher PM2.5 exposure to reduce the disease morbidity and healthcare burden.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Environmental Exposure / Particulate Matter / COVID-19 / Hospitalization Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Respirology Year: 2021 Document Type: Article Affiliation country: Resp.14140

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Environmental Exposure / Particulate Matter / COVID-19 / Hospitalization Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Respirology Year: 2021 Document Type: Article Affiliation country: Resp.14140