Exhaled biomarker pattern is altered in children with obstructive sleep apnoea syndrome

P. Benedek, Z. Lázár, A. Bikov, L. Kunos, Gabor Katona, I. Horváth

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: Obstructive sleep apnoea syndrome (OSAS) is a common disorder in children, which is associated with enhanced inflammatory status. Inflammation-associated changes could be monitored by the assessment of exhaled biomarker profile. This study aimed to compare the exhaled biomarker profile in children with OSAS and habitual snorers. Methods: Eighteen children with OSAS (8 ± 2 years, mean ± SD) and ten non-OSAS subjects with habitual snoring (9 ± 2 years) were recruited. Exhaled breath was collected from the lower airways, processed using an electronic nose (E-nose) and analyzed off-line using principal component analysis, followed by discrimination analysis and logistic regression to build a receiver operating characteristic (ROC) curve. Results: Exhaled biomarker pattern of OSAS patients was discriminated from that of control subjects (p=0.03, cross-validation accuracy: 64%), ROC curve analysis (area: 0.83) showed 78% sensitivity and 70% specificity. Conclusions: The altered exhaled biomarker pattern in OSAS might reflect accelerated airway and/or systemic inflammation in diseased state. Breath pattern analysis by an E-nose can serve as a new tool to monitor inflammation in children with OSAS. © 2013 Elsevier Ireland Ltd.
Original languageEnglish
Pages (from-to)1244-1247
Number of pages4
JournalInternational journal of pediatric otorhinolaryngology
Volume77
Issue number8
DOIs
Publication statusPublished - 2013

Keywords

  • Breath analysis
  • Electronic nose
  • Exhaled volatile
  • Inflammation
  • Polysomnography
  • Sleep-disordered breathing
  • article
  • body mass
  • breath analysis
  • breathing pattern
  • child
  • clinical article
  • controlled study
  • cross-sectional study
  • diagnostic accuracy
  • diagnostic test accuracy study
  • electronic nose
  • expired air
  • female
  • heart rhythm
  • human
  • male
  • oxygen desaturation
  • polysomnography
  • predictive value
  • priority journal
  • receiver operating characteristic
  • school child
  • sensitivity and specificity
  • sleep disordered breathing
  • snoring
  • validation study
  • Biological Markers
  • Breath Tests
  • Case-Control Studies
  • Child
  • Cross-Sectional Studies
  • Exhalation
  • Female
  • Humans
  • Male
  • Principal Component Analysis
  • ROC Curve
  • Sleep Apnea, Obstructive
  • Snoring
  • Volatile Organic Compounds

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