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. 2016 Feb:145:68-73.
doi: 10.1016/j.envres.2015.11.017. Epub 2015 Dec 6.

Effects of particulate matter exposure on multiple sclerosis hospital admission in Lombardy region, Italy

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Effects of particulate matter exposure on multiple sclerosis hospital admission in Lombardy region, Italy

Laura Angelici et al. Environ Res. 2016 Feb.

Abstract

Background: Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating disease of the central nervous system, characterized by recurrent relapses of inflammation that cause mild to severe disability. Exposure to airborne particulate matter (PM) has been associated with acute increases in systemic inflammatory responses and neuroinflammation. In the present study, we hypothesize that exposure to PM<10μm in diameter (PM10) might increase the occurrence of MS-related hospitalizations.

Methods: We obtained daily concentrations of PM10 from 53 monitoring sites covering the study area and we identified 8287 MS-related hospitalization through hospital admission-discharge records of the Lombardy region, Italy, between 2001 and 2009. We used a Poisson regression analysis to investigate the association between exposure to PM10 and risk of hospitalization.

Results: A higher RR of hospital admission for MS relapse was associated with exposure to PM10 at different time intervals. The maximum effect of PM10 on MS hospitalization was found for exposure between days 0 and 7: Hospital admission for MS increased 42% (95%CI 1.39-1.45) on the days preceded by one week with PM10 levels in the highest quartile. The p-value for trend across quartiles was<0.001.

Conclusions: These data support the hypothesis that air pollution may have a role in determining MS occurrence and relapses. Our findings could open new avenues for determining the pathogenic mechanisms of MS and potentially be applied to other autoimmune diseases.

Keywords: Air pollution; Lombardy region; MS hospitalization; Multiple Sclerosis; PM(10).

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Figures

Fig. 1
Fig. 1
Map of the Lombardy region (Italy) showing the location of the 53 air pollution monitors in the 9 areas identified for the study (Fig. 1A) and the mean population of each city area, between 2001 and 2009 (Fig. 1B).

References

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