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Effect of COVID-19-Related Lockdown οn Hospital Admissions for Asthma and COPD Exacerbations: Associations with Air Pollution and Patient Characteristics.

Authors :
Sigala I
Giannakas T
Giannakoulis VG
Zervas E
Brinia A
Gianiou N
Asimakos A
Dima E
Kalomenidis I
Katsaounou P
Source :
Journal of personalized medicine [J Pers Med] 2021 Aug 30; Vol. 11 (9). Date of Electronic Publication: 2021 Aug 30.
Publication Year :
2021

Abstract

We conducted a retrospective observational study to assess the hospitalization rates for acute exacerbations of asthma and COPD (chronic obstructive pulmonary disease) during the first imposed lockdown in Athens, Greece. Patient characteristics and the concentration of eight air pollutants [namely, NO (nitrogen monoxide), NO <subscript>2</subscript> (nitrogen dioxide), CO (carbon monoxide), PM2.5 (particulate matter 2.5), PM10 (particulate matter 10), O <subscript>3</subscript> (ozone), SO <subscript>2</subscript> (sulfur dioxide) and benzene] were considered. A total of 153 consecutive hospital admissions were studied. Reduced admissions occurred in the Lockdown period compared to the Pre-lockdown 2020 ( p < 0.001) or the Control 2019 ( p = 0.007) period. Furthermore, the concentration of 6/8 air pollutants positively correlated with weekly hospital admissions in 2020 and significantly decreased during the lockdown. Finally, admitted patients for asthma exacerbation during the lockdown were younger ( p = 0.046) and less frequently presented respiratory failure ( p = 0.038), whereas patients with COPD presented higher blood eosinophil percentage ( p = 0.017) and count ( p = 0.012). Overall, admissions for asthma and COPD exacerbations decreased during the lockdown. This might be partially explained by reduction of air pollution during this period while medical care avoidance behavior, especially among elderly patients cannot be excluded. Our findings aid in understanding the untold impact of the pandemic on diseases beyond COVID-19, focusing on patients with obstructive diseases.

Details

Language :
English
ISSN :
2075-4426
Volume :
11
Issue :
9
Database :
MEDLINE
Journal :
Journal of personalized medicine
Publication Type :
Academic Journal
Accession number :
34575644
Full Text :
https://doi.org/10.3390/jpm11090867