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Movement distribution: a new measure of sleep fragmentation in children with upper airway obstruction

Scott Coussens1, Mathias Baumert2, Mark Kohler3

  • 1School of Medical Sciences, University of Adelaide, Adelaide, Australia: Department of Respiratory and Sleep Medicine, Children, Youth and Women's Health Service, North Adelaide, Australia.

Sleep
|October 18, 2014
PubMed

Insights

Movement events effectively measure sleep fragmentation in children with upper airway obstruction. Survival curve analysis using gross body movements offers a clinically useful tool for assessing sleep continuity in these patients.

Area of Science:

  • Pediatric Sleep Medicine
  • Respiratory Physiology
  • Biostatistics

Background:

  • Upper airway obstruction (UAO) significantly impacts sleep quality in children.
  • Existing measures of sleep fragmentation may not fully capture the nuances of sleep disruption in UAO.
  • Developing objective measures is crucial for effective diagnosis and management.

Purpose of the Study:

  • To develop a novel measure of sleep fragmentation in children with UAO.
  • To utilize survival curve analysis of sleep continuity for this purpose.
  • To compare different metrics for defining sleep fragmentation events.

Main Methods:

  • Prospective study involving 92 children (3.0-12.9 years) with UAO.
  • Two overnight polysomnographic (PSG) sleep studies conducted 6 months apart.
  • Children categorized into primary snorers (PS), obstructive sleep apnea syndrome (OSAS), and control groups; PS and OSAS underwent surgery between PSG studies.

Main Results:

  • Survival curves generated using Kaplan-Meier estimates revealed statistically significant differences in sleep continuity between groups (P < 0.05).
  • Movement events as the sleep-fragmenting event proved effective in differentiating groups.
  • Using stage 1 NREM sleep or awakenings did not yield significant differences.

Conclusions:

  • Conventional indices for sleep fragmentation lack utility in survival curve analysis for children with UAO.
  • Defining sleep continuity based on time between gross body movements yields a potentially valuable clinical measure.
  • This movement-based metric shows promise for assessing sleep fragmentation in pediatric UAO.
Abstract

Keywords:
childrenmovementsleep continuitysleep fragmentationupper airway obstruction

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