Wang H, Yang T, Cao K
Beijing Red Cross, Chao Yang Hospital, Capital University of Medical Science, Beijing 100020.
Zhonghua Jie He He Hu Xi Za Zhi. 1999 Jun;22(6):344-6.
To evaluate the validation of the AutoSet system in the diagnosis of sleep apnea syndrome(SAS).
One hundred and twenty patients were studied simultaneously performed both with the AutoSet and the polysomnography(PSG). The apnea index(AI) and apneas + hypopneas index (AHI) were compared between the two methods by Bland and Altmen method.
A significant correlation was found between the AHI assessed by the AutoSet and by the PSG (r = 0.92, P < 0.001). The respiratory irregularity index (RII) of the AutoSet was well correlated with the arousal index (Ai) from the PSG (r = 0.72, P < 0.001). The sensitivity and specificity of the AutoSet in diagnosing sleep apnea were 94% and 80% for AHI > or = 5/hour, 92% and 85% for AHI > or = 10/hour, 91% and 92% for AHI > or = 15/hour, 91% and 91% for AHI > or = 20/hour.
The AutoSet system is a sensitive and valuable tool for identifying patients with sleep apnea and can make a diagnosis of sleep apnea for these patients with AHI > or = 30/hour, but has some limits especially for mild to moderate sleep apnea.
评估AutoSet系统在睡眠呼吸暂停综合征（SAS）诊断中的有效性。
对120例患者同时采用AutoSet和多导睡眠图（PSG）进行研究。通过Bland和Altmen方法比较两种方法的呼吸暂停指数（AI）和呼吸暂停+低通气指数（AHI）。
AutoSet评估的AHI与PSG评估的AHI之间存在显著相关性（r = 0.92，P < 0.001）。AutoSet的呼吸不规则指数（RII）与PSG的觉醒指数（Ai）密切相关（r = 0.72，P < 0.001）。对于AHI≥5/小时，AutoSet诊断睡眠呼吸暂停的敏感性和特异性分别为94%和80%；对于AHI≥10/小时，分别为92%和85%；对于AHI≥15/小时，分别为91%和92%；对于AHI≥20/小时，分别为91%和91%。
AutoSet系统是识别睡眠呼吸暂停患者的一种敏感且有价值的工具，对于AHI≥30/小时的患者可做出睡眠呼吸暂停诊断，但存在一定局限性，尤其是对轻度至中度睡眠呼吸暂停。
