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儿童睡眠障碍呼吸严重程度差异与睡眠稳定性变化。

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

机构信息

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

出版信息

Laryngoscope. 2021 Feb;131(2):435-439. doi: 10.1002/lary.28769. Epub 2020 May 30.

Abstract

OBJECTIVES

The aim of this study was to analyze the association between obstructive sleep apnea (OSA) severity and various cardiopulmonary coupling (CPC) parameters in children with OSA.

STUDY DESIGN

Retrospective cross-sectional study.

METHODS

A cross-sectional study was conducted among 117 children (aged 7.96 ± 3.54 years, 86 male) who underwent both full-night polysomnography (PSG) and CPC for suspicion of sleep-disordered breathing (SDB). We analyzed the association between various CPC and PSG findings.

RESULTS

The apnea-hypopnea index (AHI) was negatively correlated with high frequency coupling (HFC, r = -0.374, P < .001) and very low frequency coupling (VLFC, r = -0.192, P = .038) and positively correlated with low frequency coupling (LFC, r = 0.503, P < .001), elevated low frequency coupling (e-LFC, r = 0.475, P < .001), and narrow and broad band e-LFC (e-LFC and e-LFC ; r = 0.221, P = .016 and r = 0.468, P < .001, respectively). The arousal index was negatively correlated with HFC (r = - 0.466, P < .001) and positively correlated with LFC, e-LFC, e-LFC , and e-LFC (r = 0.543, r = 0.460, r = 0.239, and r = 0.445, respectively; all P < .001). In addition, we also found a significant difference in various CPC values according to OSA severity.

CONCLUSION

CPC parameters accurately reflect sleep fragmentation and OSA severity in children. Thus, we can verify objective sleep quality using CPC analysis, which is a simple method of analyzing sleep stability in children with SDB.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:435-439, 2021.

摘要

目的

本研究旨在分析阻塞性睡眠呼吸暂停(OSA)严重程度与 OSA 患儿各种心肺耦联(CPC)参数之间的关系。

研究设计

回顾性病例对照研究。

方法

对 117 名(年龄 7.96±3.54 岁,86 名男性)因疑似睡眠呼吸障碍(SDB)而行整夜多导睡眠图(PSG)和 CPC 检查的患儿进行了一项横断面研究。我们分析了各种 CPC 与 PSG 结果之间的相关性。

结果

呼吸暂停低通气指数(AHI)与高频耦合(HFC,r=-0.374,P<0.001)和极低频耦合(VLFC,r=-0.192,P=0.038)呈负相关,与低频耦合(LFC,r=0.503,P<0.001)、升高的低频耦合(e-LFC,r=0.475,P<0.001)和窄带与宽带 e-LFC(e-LFC 和 e-LFC;r=0.221,P=0.016 和 r=0.468,P<0.001)呈正相关。觉醒指数与 HFC 呈负相关(r=-0.466,P<0.001),与 LFC、e-LFC、e-LFC 和 e-LFC 呈正相关(r=0.543、r=0.460、r=0.239、r=0.445,均 P<0.001)。此外,我们还发现根据 OSA 严重程度,各种 CPC 值存在显著差异。

结论

CPC 参数准确反映了儿童睡眠片段化和 OSA 严重程度。因此,我们可以使用 CPC 分析来验证客观的睡眠质量,这是一种分析 SDB 儿童睡眠稳定性的简单方法。

证据水平

4.《喉镜》,131:435-439,2021。

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