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Variation in Sleep Stability with Differences in Severity of Sleep-Disordered Breathing in Children

Min Young Seo1, Mun Soo Han1, Yong Jun Jeong1

  • 1Division of Rhinology & Sleep Medicine, Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, South Korea.

The Laryngoscope
|May 31, 2020
PubMed

Insights

Cardiopulmonary coupling (CPC) parameters correlate with obstructive sleep apnea (OSA) severity in children. This simple analysis method can objectively verify sleep quality in children with sleep-disordered breathing.

Area of Science:

  • Pediatric Pulmonology
  • Sleep Medicine
  • Biomedical Engineering

Background:

  • Obstructive sleep apnea (OSA) is a common sleep-disordered breathing (SDB) condition in children.
  • Assessing OSA severity and its impact on sleep quality is crucial for effective management.
  • Cardiopulmonary coupling (CPC) offers a potential method for analyzing sleep stability.

Purpose of the Study:

  • To investigate the association between obstructive sleep apnea (OSA) severity and various cardiopulmonary coupling (CPC) parameters in pediatric patients.
  • To determine if CPC metrics can serve as indicators of sleep fragmentation and OSA severity in children.

Main Methods:

  • A retrospective cross-sectional study involving 117 children suspected of SDB.
  • Full-night polysomnography (PSG) and CPC analysis were performed on all participants.
  • Statistical analysis was used to correlate CPC findings with OSA severity metrics like the apnea-hypopnea index (AHI) and arousal index.

Main Results:

  • The apnea-hypopnea index (AHI) showed significant correlations with multiple CPC parameters, including high frequency coupling (HFC), low frequency coupling (LFC), and elevated low frequency coupling (e-LFC).
  • The arousal index was also significantly correlated with HFC, LFC, and e-LFC, indicating associations with sleep fragmentation.
  • Significant differences in CPC values were observed across different categories of OSA severity.

Conclusions:

  • Cardiopulmonary coupling (CPC) parameters effectively reflect sleep fragmentation and obstructive sleep apnea (OSA) severity in children.
  • CPC analysis provides a simple and objective method for assessing sleep stability in pediatric patients with SDB.
  • These findings support the utility of CPC as a tool for verifying objective sleep quality in children with OSA.
Abstract

Keywords:
Sleep-disordered breathingcardiopulmonary couplingchildpolysomnographysleep stability

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