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测量小儿睡眠呼吸暂停症腺样体扁桃体切除术后的睡眠质量。

Measuring sleep quality after adenotonsillectomy in pediatric sleep apnea.

机构信息

Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Korea University, Seoul, South Korea.

出版信息

Laryngoscope. 2012 Sep;122(9):2115-21. doi: 10.1002/lary.23356. Epub 2012 Jun 27.

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.

摘要

目的/假设:本研究旨在通过传统睡眠分期和心电图心搏耦合(CPC)分析来证明阻塞性睡眠呼吸暂停(OSA)儿童术后睡眠质量的变化。假设是,CPC 不依赖脑电图(EEG),可能会检测到传统睡眠结构分析无法检测到的睡眠质量变化。

研究设计

回顾性结果研究。

方法

我们纳入了 37 名接受腺样体扁桃体切除术的 OSA 儿童(年龄 6.89 ± 2.76 岁,28 名男性),并分析了术前和术后全夜研究的标准多导睡眠图和 CPC 参数。高频耦合(HFC)和低频耦合(LFC)分别用作稳定和不稳定睡眠的指标。

结果

腺样体扁桃体切除术导致 CPC 参数发生显著变化(HFC,50.3 ± 16.1%至 56.1 ± 14.7%,P =.03;LFC,35.1 ± 14.5%至 27.3 ± 13.0%,P =.003),同时呼吸暂停低通气指数(12.7 ± 13.7 至 1.0 ± 0.8,P <.001)和觉醒指数(20.8 ± 11.5 至 9.9 ± 3.9,P <.001)也得到改善。除觉醒指数外,多导睡眠图睡眠分期参数并未反映 OSA 术后的缓解。

结论

在儿科 OSA 中,CPC 分析比基于 EEG 的睡眠分期更能轻易识别术后睡眠质量的改善。CPC 分析在评估儿科人群的睡眠质量方面可能具有潜在优势。

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