O6D.1 Inflammatory markers in the plasma of firefighters heavily exposed to particulates. (April 2019)

• Record Type: Journal Article
• Authors: Galarneau, Jean-Michel; Cherry, Nicola
• Is Part Of: Occupational and environmental medicine. Volume 76(2019)Supplement 1
• Page Start: A57
• Page End: A57
• Publication Date: 2019-04
• Subjects: Medicine, Industrial -- Periodicals; Environmental health -- Periodicals; 616.980305
• DOI: 10.1136/OEM-2019-EPI.153
• Languages: English
• ISSNs: 1351-0711

Abstract

Abstract : Introduction: In 2016 firefighters from Alberta, Canada deployed to a catastrophic fire in Fort McMurray. In the first few days, firefighters experienced heavy smoke exposures during greatly extended work shifts. Blood samples were collected to determine whether inflammatory markers might constitute a useful biomarker of exposure. In first responders exposed during the Word Trade Center disaster, inflammatory markers in serum samples collected within 6 months post-event were associated with poor recovery from exposure-related lung disorders. Methods: Blood samples were collected at two fire services. At Service A, first samples were drawn two weeks from the start of the fire and second samples after 3–4 months. At Service B samples were collected over 4 weeks, starting 4 months from the first exposure. Samples were immediately centrifuged and the plasma stored at −80C before being evaluated for 42 cytokines or chemokines using a multiplex assay. A principal component analysis was carried out to reduce the number of correlated outcomes. Exposure to particulates was estimated for each firefighter using environmental PM2.5, total hours exposed, tasks carried out and the use of respiratory protection. Respiratory symptoms immediately before the fire, immediately post fire and at 4 months were collected using visual analogue (VA) scales. Results: Inflammatory markers were assayed for 242 plasma samples from 175 firefighters. Six components were extracted of which only one, labelled the inflammatory marker component (IMC) was related to estimated exposure (p<0.001): values decreased with time since last exposure (p<0.001). All respiratory symptoms post-fire were greater in those with higher estimated PM2.5. IMC scores were independently related to cough and wheeze at 4 months, but the biomarker did not contribute to models for these endpoints that also included PM2.5. Conclusions: Inflammatory markers were related to exposure but did not improve prediction of symptoms in the first months post fire.