首页|重度阻塞性睡眠呼吸暂停患者脑电能量密度分布及变化规律分析

重度阻塞性睡眠呼吸暂停患者脑电能量密度分布及变化规律分析

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目的 阻塞性睡眠呼吸暂停(obstructive sleep apnea,OSA)是一种在临床有较高病发率的睡眠障碍,其病发机制为上气道在睡眠期间反复阻塞,会引发低氧血症、频繁低通气、睡眠唤醒、呼吸暂停等病理生理改变.多导睡眠监测(polysomography,PSG)是临床上诊断OSA的金标准,可以监测患者睡眠期间的脑电波变化.本文通过分析重度 OSA 男性患者睡眠规律和脑电(electroencephalogram,EEG)能量密度分布及变化规律,探究重度OSA患者的睡眠脑电变化.方法 选取 30 名男性重度OSA患者和30 名男性正常对照组,对60 名受试者进行整夜(8h左右)的多导睡眠监测,对得到的睡眠特征和脑电参数进行整理,提取睡眠与脑电特征.对比睡眠监测得到的睡眠特征和其前额区的脑电能量密度.结果 在睡眠特征方面,重度OSA患者睡眠期时间为 370.20 min,睡眠效率平均为 86.90%,非快速眼动 1 期平均占比19.90%,非快速眼动2 期平均占比 42.55%,对比正常人睡眠时间、睡眠效率以及非快速眼动1 期、2 期占比明显降低.在脑电特征方面,重度OSA患者整夜睡眠θ波的绝对能量密度、总能量密度、相对能量密度delta波、K复合波的相对能量密度高于对照组,β 波相对功率低于对照组.OSA患者脑电低频活动增加明显.结论 随着OSA患者严重程度的加重,患者的脑电能量与低频活动增加明显,为OSA患者疾病的发展趋势和评估疗效提供了重要的参考依据.
Distribution and change of electroencephalogram energy density in patients with severe obstructive sleep apnea
Objective Obstructive sleep apnea(OSA)is a sleep disorder with a high incidence rate in clinical practice.Its pathogenesis is the repeated obstruction of the upper airway during sleep,which can cause pathological and physiological changes such as hypoxemia,frequent hypoventilation,sleep arousal,and respiratory pauses.Polysomnography(PSG)is the gold standard for diagnosing obstructive sleep apnea(OSA)in clinical practice,which can monitor changes in the brain waves of patients during sleep.This article analyzes the sleep patterns and energy density distribution and changes of electroencephalogram(EEG)in male patients with severe OSA,and explores the sleep EEG changes in patients with severe OSA.Methods We selected 30 male patients with severe apnea syndrome and 30 male normal controls,and monitored polysomnography in 60 subjects all night.The obtained sleep characteristics and EEG parameters were sorted and extracted.The sleep characteristics and EEG energy density of prefrontal area were compared.Results In terms of sleep characteristics,the sleep period time of severe OSA patients was 370.20min,the average sleep efficiency was 86.90%,the average proportion of non-rapid eye movement stage 1 was 19.90%,and the average proportion of non-rapid eye movement stage 2 was 42.55%.Compared with normal people,the sleep time,sleep efficiency and the proportion of non-rapid eye movement stage 1 and stage 2 were significantly reduced.In terms of EEG characteristics,the absolute energy density,total energy density,relative energy density delta wave and K complex wave of sleep in severe OSA patients were higher than those in the control group,and the relative power of β wave was lower than that in the control group.The low frequency EEG activity was significantly increased in OSA patients.Conclusions With the aggravation of the severity of OSA patients,the EEG energy and low frequency activity of patients increased significantly,which provides an important reference for the development trend of OSA patients and the evaluation of curative effect.

obstructive sleep apnea(OSA)electroencephalogram(EEG)apnea-hypopnea index(AHI)EEG energy density

常丹丹、蔡晓畅、毕军、赵智玲、张宽、全海英

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首都医科大学生物医学工程学院(北京 100069)

临床生物力学应用基础研究北京市重点实验室(北京 100069)

首都医科大学附属北京朝阳医院呼吸与危重症医学科北京呼吸疾病研究所(北京 100020)

阻塞性睡眠呼吸暂停 脑电 呼吸暂停低通气指数 脑电能量密度

北京市教育委员会科技发展计划一般项目

KM201810025013

2024

北京生物医学工程
北京市心肺血管疾病研究所

北京生物医学工程

CSTPCD
影响因子:0.474
ISSN:1002-3208
年,卷(期):2024.43(1)
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