Sleep Medicine
Volume 10, Issue 1 , Pages 95-103, January 2009

Exhaled breath condensate cytokine level as a diagnostic tool for obstructive sleep apnea syndrome

  • Yongxia Li

      Affiliations

    • Department of Respiratory Medicine, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
    • Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
    • Corresponding Author InformationCorresponding author. Address: Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand. Tel.: +66 74 429754; fax: +66 74 212900.
  • ,
  • Virasakdi Chongsuvivatwong

      Affiliations

    • Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
  • ,
  • Alan Geater

      Affiliations

    • Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
  • ,
  • Ao Liu

      Affiliations

    • Department of Respiratory Medicine, Kunming General Hospital of People’s Liberation Army, Kunming, Yunnan, China

Received 1 June 2007; received in revised form 13 November 2007; accepted 13 November 2007.

Abstract 

Background

Relationships between exhaled breath condensate (EBC) and serum cytokines and apnea–hypopnea index (AHI) in patients with excessive daytime sleepiness and loud snoring were evaluated for their potential to predict the severity of obstructive sleep apnea syndrome (OSAS).

Methods

Non-smoking patients with suspected OSAS who had undergone polysomnography (PSG) were selected until 22 non-OSAS, and 22 mild, 22 moderate and 24 severe OSAS cases based on AHI were achieved. Ten healthy smokers served as a smoker control group. Interleukin-6 (IL-6), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), and 8-isoprostane were measured in EBC and serum on the morning after PSG and related to OSAS severity using linear discriminant analysis (LDA) and logistic regression (LR).

Results

Biomarker levels, in both EBC and serum, differed significantly across the four groups. Classification by LDA using IL-10 in EBC showed the highest agreement with AHI classification (kappa=0.88). LR distinguished moderate and severe OSAS from mild OSAS and non-OSAS perfectly using IL-6 in EBC and almost perfectly using IL-10 in EBC (area under the ROC curve=0.997). The levels of biomarkers among smokers overlapped with mild to severe OSAS patients.

Conclusions

Among non-smoker OSAS suspects, EBC IL-6 and IL-10 have potential to predict severity of OSAS.

Keywords: Obstructive sleep apnea syndrome, Oxidative stress, Inflammation, Cytokines, Exhaled breath condensate, Cost effectiveness

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PII: S1389-9457(07)00422-4

doi:10.1016/j.sleep.2007.11.013

Sleep Medicine
Volume 10, Issue 1 , Pages 95-103, January 2009