Maxime Jeanjean1, Marie-Abele Bind2, Jonathan Roux3, Jean-Claude Ongagna4, Jérôme de Sèze5, Denis Bard6, Emmanuelle Leray7. 1. METIS Department, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur 6 Léon-Bernard - CS 74312, 35043 Rennes, France. Electronic address: maxime.jeanjean@ehesp.fr. 2. Department of Statistics, Harvard University, Faculty of Arts and Sciences, Cambridge, MA, USA. Electronic address: ma.bind@mail.harvard.edu. 3. METIS Department, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur 6 Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France; EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité - University of Rennes 1, Rennes, France. Electronic address: jonathan.roux@ehesp.fr. 4. Department of neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 Place de l'Hôpital, 11 67091 Strasbourg cedex, France. Electronic address: jean-claude.ongagna@chru-strasbourg.fr. 5. Department of neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 Place de l'Hôpital, 11 67091 Strasbourg cedex, France. Electronic address: jerome.de.seze@chru-strasbourg.fr. 6. METIS Department, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur 6 Léon-Bernard - CS 74312, 35043 Rennes, France. Electronic address: denis.bard@ehesp.fr. 7. METIS Department, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur 6 Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France; EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité - University of Rennes 1, Rennes, France. Electronic address: emmanuelle.leray@ehesp.fr.
Abstract
BACKGROUND: Triggers of multiple sclerosis (MS) relapses are essentially unknown. PM10 exposure has recently been associated with an increased risk of relapses. OBJECTIVES: We further explore the short-term associations between PM10, NO2, benzene (C6H6), O3, and CO exposures, and the odds of MS relapses' occurrence. METHODS: Using a case-crossover design, we studied 424 MS patients living in the Strasbourg area, France between 2000 and 2009 (1783 relapses in total). Control days were chosen to be ± 35 days relative to the case (relapse) day. Exposure was modeled through ADMS-Urban software at the census block scale. We consider single-pollutant and multi-pollutant conditional logistic regression models coupled with a distributed-lag linear structure, stratified by season ("hot" vs. "cold"), and adjusted for meteorological parameters, pollen count, influenza-like epidemics, and holidays. RESULTS: The single-pollutant analyses indicated: 1) significant associations between MS relapse incidence and exposures to NO2, PM10, and O3, and 2) seasonality in these associations. For instance, an interquartile range increase in NO2 (lags 0-3) and PM10 exposure were associated with MS relapse incidence (OR = 1.08; 95%CI: [1.03-1.14] and OR = 1.06; 95%CI: [1.01-1.11], respectively) during the "cold" season (i.e., October-March). We also observed an association with O3 and MS relapse incidence during "hot" season (OR = 1.16; 95%CI: [1.07-1.25]). C6H6 and CO were not significantly related to MS relapse incidence. However, using multi-pollutant models, only O3 remained significantly associated with the odds of relapse triggering during "hot" season. CONCLUSION: We observed significant single-pollution associations between the occurrence of MS relapses and exposures to NO2, O3 and PM10, only O3 remained significantly associated with occurrence of MS relapses in the multi-pollutant model.
BACKGROUND: Triggers of multiple sclerosis (MS) relapses are essentially unknown. PM10 exposure has recently been associated with an increased risk of relapses. OBJECTIVES: We further explore the short-term associations between PM10, NO2, benzene (C6H6), O3, and CO exposures, and the odds of MS relapses' occurrence. METHODS: Using a case-crossover design, we studied 424 MS patients living in the Strasbourg area, France between 2000 and 2009 (1783 relapses in total). Control days were chosen to be ± 35 days relative to the case (relapse) day. Exposure was modeled through ADMS-Urban software at the census block scale. We consider single-pollutant and multi-pollutant conditional logistic regression models coupled with a distributed-lag linear structure, stratified by season ("hot" vs. "cold"), and adjusted for meteorological parameters, pollen count, influenza-like epidemics, and holidays. RESULTS: The single-pollutant analyses indicated: 1) significant associations between MS relapse incidence and exposures to NO2, PM10, and O3, and 2) seasonality in these associations. For instance, an interquartile range increase in NO2 (lags 0-3) and PM10 exposure were associated with MS relapse incidence (OR = 1.08; 95%CI: [1.03-1.14] and OR = 1.06; 95%CI: [1.01-1.11], respectively) during the "cold" season (i.e., October-March). We also observed an association with O3 and MS relapse incidence during "hot" season (OR = 1.16; 95%CI: [1.07-1.25]). C6H6 and CO were not significantly related to MS relapse incidence. However, using multi-pollutant models, only O3 remained significantly associated with the odds of relapse triggering during "hot" season. CONCLUSION: We observed significant single-pollution associations between the occurrence of MS relapses and exposures to NO2, O3 and PM10, only O3 remained significantly associated with occurrence of MS relapses in the multi-pollutant model.
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