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老年人睡眠期间的呼吸周期性和脑电图觉醒

Respiratory periodicity and electroencephalogram arousals during sleep in older adults.

作者信息

Carlson Barbara Waag, Neelon Virginia J, Carlson John R, Hartman Marilyn, Dogra Sunil

机构信息

School of Nursing, University of North Carolina at Chapel Hill, NC 27599, USA.

出版信息

Biol Res Nurs. 2007 Apr;8(4):249-60. doi: 10.1177/1099800406298072.

Abstract

The aim of this exploratory study was to examine the relationship of electroencephalogram (EEG) arousals to breathing patterns and the relationship of both arousals and breathing patterns to arterial oxygenation during sleep in older adults. Five older adults were monitored using standard polysomnography. Records were divided into 5-min segments and breathing patterns identified based on the level of respiratory periodicity and the variability in the frequency of breathing cycles. Standard criteria were used to determine sleep states and occurrence of EEG arousals. High respiratory periodicity was seen in 23% of the segments, whereas 24% had low respiratory periodicity with minimal variability in the frequency of breathing (Type A low respiratory periodicity) and 53% had low respiratory periodicity with high variability in the frequency of breathing (Type B low respiratory periodicity). Nearly all (97%) segments with high respiratory periodicity had EEG arousals, whereas fewer segments (33%) with low respiratory periodicity had arousals, regardless of the stage of sleep. Desaturations occurred more often in segments with high respiratory periodicity, F((2,4)) = 57.3, p < .001, but overall, the mean SaO(2) of segments with high respiratory periodicity did not differ from levels seen in segments with low respiratory periodicity, F((2,4)) = 0.77, ns. Our findings suggest that high respiratory periodicity is a common feature of EEG arousals and, in older adults, may be important for maintaining oxygen levels during desaturations during sleep.

摘要

这项探索性研究的目的是检验老年人睡眠期间脑电图(EEG)觉醒与呼吸模式之间的关系,以及觉醒和呼吸模式二者与动脉氧合之间的关系。使用标准多导睡眠图对五名老年人进行监测。记录被分成5分钟的片段,并根据呼吸周期性水平和呼吸周期频率的变异性来确定呼吸模式。使用标准标准来确定睡眠状态和EEG觉醒的发生情况。在23%的片段中观察到高呼吸周期性,而24%的片段具有低呼吸周期性且呼吸频率变异性最小(A型低呼吸周期性),53%的片段具有低呼吸周期性且呼吸频率变异性高(B型低呼吸周期性)。几乎所有(97%)具有高呼吸周期性的片段都有EEG觉醒,而具有低呼吸周期性的片段中较少(33%)有觉醒,无论睡眠阶段如何。呼吸周期性高的片段中去饱和情况更常发生,F((2,4)) = 57.3,p < .001,但总体而言,呼吸周期性高的片段的平均SaO(2)与呼吸周期性低的片段中所见水平没有差异,F((2,4)) = 0.77,无显著性差异。我们的研究结果表明,高呼吸周期性是EEG觉醒的一个常见特征,并且在老年人中,对于睡眠期间去饱和时维持氧水平可能很重要。

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