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0434 THE ASSOCIATION OF TRAFFIC-RELATED AIR POLLUTION WITH SLEEP APNEA AND INFLAMMATORY BIOMARKERS

Laratta, C ; Carlsten, C ; Brauer, M ; Hirsch Allen, A ; Fox, N ; Peres, BU ; Ayas, N

Sleep (New York, N.Y.), 2017-04, Vol.40 (suppl_1), p.A161-A162 [Periódico revisado por pares]

US: Oxford University Press

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  • Título:
    0434 THE ASSOCIATION OF TRAFFIC-RELATED AIR POLLUTION WITH SLEEP APNEA AND INFLAMMATORY BIOMARKERS
  • Autor: Laratta, C ; Carlsten, C ; Brauer, M ; Hirsch Allen, A ; Fox, N ; Peres, BU ; Ayas, N
  • Assuntos: Air pollution ; Biomarkers ; Cytokines ; Nitrogen dioxide ; Sleep apnea
  • É parte de: Sleep (New York, N.Y.), 2017-04, Vol.40 (suppl_1), p.A161-A162
  • Descrição: Abstract Introduction: Obstructive sleep apnea (OSA) is associated with inflammatory biomarkers which may predispose to premature cardiovascular disease. Air pollution is also associated with systemic inflammation, and may therefore also be associated with worsening OSA. Our objective was to assess whether traffic-related pollution (TRAP) is associated with OSA severity or systemic inflammation. Methods: 1858 consenting patients who had a polysomnography (PSG) for suspected OSA were recruited between 2007 and 2013 into a research database. Information from a detailed questionnaire, BMI, and PSG were included. In a subset (n=494), serum was collected the morning after PSG, and levels of inflammatory biomarkers (e-selectin, intracellular adhesion molecule, vascular cell adhesion molecule, interleukin 6, interleukin 8) were measured using Luminex. For each patient, residential 6-digit postal code (corresponding to ~ 1 block face) was used to estimate each subject’s TRAP exposure (nitrogen oxides, black carbon and fine particulate matter) using land-use regression, with mean nitrogen dioxide concentration of 16.2 ± 5.6 ppb (Vancouver, BC). SAS 9.4 used for analysis. Results: 1339 participants (69.6% male, mean and SD age: 57.6 ± 12.2 years, AHI: 22.5 ± 22.1/hr) had a postal code within the air pollution model domain. 255 patients had no OSA (AHI <5/hr); 390 had mild OSA (AHI 5–15/hr); 336 had moderate OSA (AHI 15–30/hr); and 358 had severe OSA (AHI >30/hr). Pollution measures were not significantly correlated with AHI (Pearson correlation coefficients -0.005 to -0.061, p>0.1 for all variables) or with OSA severity using categorical variables by ANOVA; the lack of association persisted after controlling for age and gender. None of the inflammatory biomarkers were associated with pollution levels. Conclusion: In our cohort, we did not find an association between air pollution exposure and either OSA severity or inflammatory biomarkers. Support (If Any): This work is funded through grants from the Canadian Institutes of Health Research and the Canadian Sleep and Circadian Network.
  • Editor: US: Oxford University Press
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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