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The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis.

Authors :
Bergamaschi, Roberto
Ponzano, Marta
Schiavetti, Irene
Carmisciano, Luca
Cordioli, Cinzia
Filippi, Massimo
Radaelli, Marta
Immovilli, Paolo
Capobianco, Marco
De Rossi, Nicola
Brichetto, Giampaolo
Cocco, Eleonora
Scandellari, Cinzia
Cavalla, Paola
Pesci, Ilaria
Zito, Antonio
Confalonieri, Paolo
Marfia, Girolama Alessandra
Perini, Paola
Inglese, Matilde
Source :
European Journal of Neurology. Feb2022, Vol. 29 Issue 2, p535-542. 8p.
Publication Year :
2022

Abstract

Background and purpose: Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 µg/m3 (PM2.5), may contribute to severe COVID‐19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID‐19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID‐19 severity amongst PwMS. Methods: Data were retrieved from an Italian web‐based platform (MuSC‐19) which includes PwMS with COVID‐19. PM2.5 2016–2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID‐19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID‐19 severity. Results: In all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID‐19 course (odds ratio 1.90; p = 0.009). Conclusions: Even if several other factors explain the unfavourable course of COVID‐19 in PwMS, the role of air pollutants must be considered and further investigated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13515101
Volume :
29
Issue :
2
Database :
Academic Search Index
Journal :
European Journal of Neurology
Publication Type :
Academic Journal
Accession number :
154666072
Full Text :
https://doi.org/10.1111/ene.15167