Journal
INTERNATIONAL FORUM OF ALLERGY & RHINOLOGY
Volume 12, Issue 2, Pages 172-180Publisher
WILEY
DOI: 10.1002/alr.22884
Keywords
air pollutants; chronic rhinosinusitis; disadvantaged; environmental exposure; health inequalities; nasal polyps; nitrogen dioxide; particulate matter; risk factors; socioeconomic status
Categories
Ask authors/readers for more resources
This study revealed a clear association between low socioeconomic status neighborhoods and higher levels of exposure to air pollutants, leading to increased need for steroid treatment in patients with chronic rhinosinusitis.
Background Air pollution directly interacts with airway mucosa, yet little is known about how pollutants affect upper airway inflammation. Studies have shown increased incidence of chronic rhinosinusitis (CRS), rhinitis, and asthma in areas with higher traffic pollution, and these neighborhoods are often associated with lower socioeconomic status (SES). The Area Deprivation Index (ADI) assesses neighborhood-level SES by zip code. The purpose of this study was to assess the relationship between SES and exposure to inhaled pollutants and CRS disease severity. Methods CRS patients with and without nasal polyps (CRSwNP and CRSsNP, respectively) were identified (total patients = 234; CRSwNP patients = 138; CRSsNP patients = 96). Pollutant concentrations, including particulate matter 2.5 (PM2.5), black carbon (BC), and nitrogen dioxide (NO2), were measured at 70 sites within the defined countywide sites and used to estimate patient exposures. SES was measured by ADI state deciles. Disease severity metrics included the modified Lund-Mackay score (LMS), the need for systemic steroids, and functional endoscopic sinus surgery (FESS). Associations were analyzed and identified using linear, logistic, and Poisson multivariable regression. Results The distribution of CRSsNP and CRSwNP patients across ADI state deciles was similar. ADI, however, was a predictor of exposure to airborne pollutants (PM2.5, BC, and NO2) with a 1.39%, 2.39%, and 2.49% increase in PM2.5, BC, and NO2 per increasing decile increment (p < 0.0001), respectively, which demonstrated a direct correlation between deprived neighborhoods and higher levels of exposure to PM2.5, BC, and NO2 with an increase in pollutant levels per increase in ADI decile. Furthermore, ADI was a predictor for increased steroid treatment. Conclusion Lower SES predicted higher exposure to air pollution and increased disease severity in patients with CRS as demonstrated by the increased need for steroid treatment.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available