Premium
Measuring sleep quality after adenotonsillectomy in pediatric sleep apnea
Author(s) -
Lee Seung Hoon,
Choi Ji Ho,
Park Il Ho,
Lee Sang Hag,
Kim Tae Hoon,
Lee Heung Man,
Park HeeKwon,
Thomas Robert J.,
Shin Chol,
Yun ChangHo
Publication year - 2012
Publication title -
the laryngoscope
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.181
H-Index - 148
eISSN - 1531-4995
pISSN - 0023-852X
DOI - 10.1002/lary.23356
Subject(s) - medicine , polysomnography , obstructive sleep apnea , sleep (system call) , arousal , sleep stages , electroencephalography , anesthesia , sleep apnea , apnea , audiology , psychiatry , psychology , neuroscience , computer science , operating system
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.