Suppr超能文献

一种有限的计算机诊断系统(ResCare自动设置系统)与多导睡眠图在阻塞性睡眠呼吸暂停综合征诊断中的比较。

Comparison of a limited computerized diagnostic system (ResCare Autoset) with polysomnography in the diagnosis of obstructive sleep apnoea syndrome.

作者信息

Kiely J L, Delahunty C, Matthews S, McNicholas W T

机构信息

Respiratory Sleep Laboratory, Dept of Respiratory Medicine, St. Vincent's Hospital, Dublin, Ireland.

出版信息

Eur Respir J. 1996 Nov;9(11):2360-4. doi: 10.1183/09031936.96.09112360.

Abstract

The increasing numbers of patients referred for evaluation of suspected obstructive sleep apnoea (OSA) places a growing burden on available sleep laboratory resources. A number of limited diagnostic systems have been developed in an effort to cope with this clinical problem. In this study, the diagnostic capabilities of one limited diagnostic system (ResCare Autoset) were compared with full polysomnography (PSG), using the Oxford SAC computerized system. Thirty six patients with suspected OSA had simultaneous studies performed both with the Autoset and Oxford PSG systems. The apnoea plus hypopnoea index (AHI) (events x h(-1)) scored by the Autoset system was compared with the AHI scored from the PSG raw tracings by an experienced sleep technician. There were highly significant correlations between the Autoset AHI and the AHI scored by the manual PSG scoring method (r=0.92; p<0.001). The positive predictive value for diagnosis of OSA for the Autoset was 86% when compared with manual PSG scoring, based on an AHI threshold for OSA of 15 events x h(-1). However, the agreement between Autoset and PSG was poor in severe cases of OSA, although not sufficiently so as to result in mistaken diagnosis in any of these cases. We conclude that the Autoset system is a sensitive and easy to use system, which facilitates screening for obstructive sleep apnoea with a reasonable degree of accuracy.

摘要

因疑似阻塞性睡眠呼吸暂停(OSA)而被转诊接受评估的患者数量不断增加,这给现有的睡眠实验室资源带来了越来越大的负担。为应对这一临床问题,已开发出一些有限的诊断系统。在本研究中,使用牛津SAC计算机系统,将一种有限诊断系统(ResCare Autoset)的诊断能力与全夜多导睡眠图(PSG)进行了比较。36例疑似OSA患者同时使用Autoset系统和牛津PSG系统进行检查。将Autoset系统得出的呼吸暂停加低通气指数(AHI)(事件数×小时⁻¹)与经验丰富的睡眠技术人员根据PSG原始记录得出的AHI进行比较。Autoset得出的AHI与手动PSG评分法得出的AHI之间存在高度显著的相关性(r = 0.92;p < 0.001)。基于OSA的AHI阈值为15次事件×小时⁻¹,与手动PSG评分相比,Autoset诊断OSA的阳性预测值为86%。然而,在严重OSA病例中,Autoset与PSG之间的一致性较差,尽管还不至于在任何这些病例中导致误诊。我们得出结论,Autoset系统是一种敏感且易于使用的系统,有助于以合理的准确度筛查阻塞性睡眠呼吸暂停。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验