Rees K, Wraith P K, Berthon-Jones M, Douglas N J
Respiratory Medicine Unit, University of Edinburgh, Royal Infirmary Edinburgh, UK.
Eur Respir J. 1998 Oct;12(4):764-9. doi: 10.1183/09031936.98.12040764.
Limited sleep study systems are increasingly being used to diagnose the sleep apnoea/hypopnoea syndrome, but validation is essential and detection of arousal's desirable. One such system (AutoSet) was validated on an event-by-event basis, and the hypothesis that sudden large breaths detected by this system mark arousal from sleep was also examined. Twenty consecutive patients (apnoea/hypopnoea index (AHI) 39+/-6 (SEM)) underwent polysomnography (PSG), which included real-time signals of AutoSet (Version 3.03) scored events. PSG respiratory events were defined using airflow and thoracoabdominal movement and AutoSet events using nasal pressure. All apnoeas were scored by both systems, but 41% more hypopnoeas were scored on PSG and these were clinically significant, with 78% ending in cortical arousal. Twenty per cent of apnoeas and hypopnoeas scored by the AutoSet occurred during wakefulness. Large breaths, defined as a two-thirds increase in ventilation, marked 77% of respiratory-associated but only 9% of spontaneous arousals. Large breaths also marked 48% of "autonomic" arousals following respiratory events without visible electroencephalographic changes. Twenty-seven per cent of large breaths occurred during wakefulness. This study shows that the AutoSet and the standard polysomnographic approach differ in their detection of hypopnoeas. The AutoSet underdetected hypopnoeas during sleep, but also included some hypopnoeas occurring during wakefulness. Detection of large breaths may potentially be useful for identifying respiratory arousals. Detection of periods of wakefulness may improve the accuracy of the system.
有限睡眠研究系统越来越多地用于诊断睡眠呼吸暂停/低通气综合征,但验证至关重要,且检测觉醒很有必要。其中一个这样的系统(AutoSet)在逐个事件的基础上进行了验证,并且还检验了该系统检测到的突然大口呼吸标志着从睡眠中觉醒的假设。连续20名患者(呼吸暂停/低通气指数(AHI)为39±6(标准误))接受了多导睡眠图(PSG)检查,其中包括AutoSet(版本3.03)评分事件的实时信号。PSG呼吸事件通过气流和胸腹运动来定义,而AutoSet事件通过鼻压力来定义。两个系统都对所有呼吸暂停进行了评分,但PSG检测到的低通气多41%,且这些低通气具有临床意义,78%以皮层觉醒结束。AutoSet评分的呼吸暂停和低通气中有20%发生在清醒期间。大口呼吸定义为通气增加三分之二,它标志着77%的呼吸相关觉醒,但仅9%的自发觉醒。大口呼吸还标志着48%的呼吸事件后无明显脑电图变化的“自主”觉醒。27%的大口呼吸发生在清醒期间。这项研究表明,AutoSet和标准多导睡眠图方法在检测低通气方面存在差异。AutoSet在睡眠期间漏检了低通气,但也包括一些清醒期间发生的低通气。检测大口呼吸可能有助于识别呼吸觉醒。检测清醒期可能会提高该系统的准确性。