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

Eur J Neurol. 2022 Feb;29(2):535-542. doi: 10.1111/ene.15167. Epub 2021 Nov 15.

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.

Keywords: air pollution; coronavirus; multiple sclerosis.

Publication types

  • Observational Study

MeSH terms

  • Air Pollution* / adverse effects
  • Air Pollution* / analysis
  • COVID-19*
  • Humans
  • Multiple Sclerosis* / epidemiology
  • Particulate Matter / analysis
  • Particulate Matter / toxicity
  • SARS-CoV-2

Substances

  • Particulate Matter