Measuring sleep quality after adenotonsillectomy in pediatric sleep apnea

Seung Hoon Lee, Ji Ho Choi, Il Ho Park, Sang Hag Lee, Tae-Hoon Kim, Heung Man Lee, Hee Kwon Park, Robert J. Thomas, Chol Shin, Chang Ho Yun

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Objectives/Hypothesis: The aim of this study was to demonstrate postoperative changes in sleep quality in children with obstructive sleep apnea (OSA), using both conventional sleep staging and electrocardiogram-based cardiopulmonary coupling (CPC) analysis. The hypothesis is that being electroencephalography (EEG)-independent, CPC may detect changes in sleep quality that traditional sleep architecture analysis cannot. Study Design: Retrospective outcome research. Methods: We included 37 children (aged 6.89 ± 2.76 years, 28 male) with OSA who underwent adenotonsillectomy, and analyzed standard polysomnography and CPC parameters from a full-night study before and after adenotonsillectomy. High-frequency coupling (HFC) and low-frequency coupling (LFC) were used as indices of stable and unstable sleep, respectively. Results: Adenotonsillectomy led to a significant change in CPC parameters (HFC, 50.3 ± 16.1% to 56.1 ± 14.7%, P =.03; LFC, 35.1 ± 14.5% to 27.3 ± 13.0%, P =.003), which was paralleled by improvements in the apnea-hypopnea (12.7 ± 13.7 to 1.0 ± 0.8, P <.001) and arousal index (20.8 ± 11.5 to 9.9 ± 3.9, P <.001). Polysomnographic sleep stage parameters other than the arousal index did not reflect postoperative resolution of OSA. Conclusions: In pediatric OSA, postoperative improvement of sleep quality is more readily discernible by CPC analysis than EEG-based sleep staging. The CPC analysis may have potential advantages in the assessment of sleep quality in pediatric populations.

Original languageEnglish
Pages (from-to)2115-2121
Number of pages7
JournalLaryngoscope
Volume122
Issue number9
DOIs
Publication statusPublished - 2012 Sep 1

Fingerprint

Sleep Apnea Syndromes
Sleep
Pediatrics
Obstructive Sleep Apnea
Arousal
Electroencephalography
Polysomnography
Sleep Stages
Apnea
Quality Improvement
Electrocardiography
Retrospective Studies
Outcome Assessment (Health Care)
Population

Keywords

  • adenotonsillectomy
  • Child
  • electrocardiogram
  • electroencephalogram
  • obstructive sleep apnea
  • sleep quality

ASJC Scopus subject areas

  • Otorhinolaryngology

Cite this

Measuring sleep quality after adenotonsillectomy in pediatric sleep apnea. / Lee, Seung Hoon; Choi, Ji Ho; Park, Il Ho; Lee, Sang Hag; Kim, Tae-Hoon; Lee, Heung Man; Park, Hee Kwon; Thomas, Robert J.; Shin, Chol; Yun, Chang Ho.

In: Laryngoscope, Vol. 122, No. 9, 01.09.2012, p. 2115-2121.

Research output: Contribution to journalArticle

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abstract = "Objectives/Hypothesis: The aim of this study was to demonstrate postoperative changes in sleep quality in children with obstructive sleep apnea (OSA), using both conventional sleep staging and electrocardiogram-based cardiopulmonary coupling (CPC) analysis. The hypothesis is that being electroencephalography (EEG)-independent, CPC may detect changes in sleep quality that traditional sleep architecture analysis cannot. Study Design: Retrospective outcome research. Methods: We included 37 children (aged 6.89 ± 2.76 years, 28 male) with OSA who underwent adenotonsillectomy, and analyzed standard polysomnography and CPC parameters from a full-night study before and after adenotonsillectomy. High-frequency coupling (HFC) and low-frequency coupling (LFC) were used as indices of stable and unstable sleep, respectively. Results: Adenotonsillectomy led to a significant change in CPC parameters (HFC, 50.3 ± 16.1{\%} to 56.1 ± 14.7{\%}, P =.03; LFC, 35.1 ± 14.5{\%} to 27.3 ± 13.0{\%}, P =.003), which was paralleled by improvements in the apnea-hypopnea (12.7 ± 13.7 to 1.0 ± 0.8, P <.001) and arousal index (20.8 ± 11.5 to 9.9 ± 3.9, P <.001). Polysomnographic sleep stage parameters other than the arousal index did not reflect postoperative resolution of OSA. Conclusions: In pediatric OSA, postoperative improvement of sleep quality is more readily discernible by CPC analysis than EEG-based sleep staging. The CPC analysis may have potential advantages in the assessment of sleep quality in pediatric populations.",
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