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首页> 外文OA文献 >Accuracy of an intelligent CPAP machine with in-built diagnostic abilities in detecting apnoeas: a comparison with polysomnography.
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Accuracy of an intelligent CPAP machine with in-built diagnostic abilities in detecting apnoeas: a comparison with polysomnography.

机译：具有内置诊断能力的智能CPAP机器在检测呼吸暂停方面的准确性：与多导睡眠监测仪的比较。

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BACKGROUND--In patients with sleep apnoea early diagnostic evaluation and treatment may be delayed due to limited access to full polysomnography (PSG). For "typical" patients, simplified strategies are needed. A study was performed to evaluate the accuracy of a new continuous positive airway pressure (CPAP) device with in-built diagnostic abilities (Autoset) in detecting apnoeas. METHODS--Twenty seven patients underwent full overnight polysomnography. Data with the Autoset were acquired simultaneously. Standard nasal prongs were used. Apnoeas were detected by special analysis of the flow signal. As the Autoset derives all its data from one signal, careful examination of the raw data is important to assess the quality of the flow signal. RESULTS--There was a correlation between the apnoea index (AI) assessed by the Autoset (AI-Autoset) and by polysomnography AI-PSG (r = 0.85) and between the AI-Autoset and the apnoea/hypopnoea index (AHI) during polysomnography (r = 0.87). The Autoset identified patients with an AHI-PSG of > 20 (a level of respiratory disturbance that would warrant consideration for treatment in most centres for sleep disorders) with a sensitivity of 82% and a specificity of 90%. CONCLUSIONS--The good correlation between the apnoea index measured by the Autoset and by polysomnography, and the high sensitivity in detecting patients with an AHI of > 20, may make the Autoset a valuable tool for the management of typical patients with sleep apnoea. However, very low values for nasal ventilation on the printout raises the suspicion of poor signal quality and misleading results.
机译：背景技术-在患有睡眠呼吸暂停的患者中，由于获得完全多导睡眠图（PSG）的机会有限，因此可能会延迟早期诊断评估和治疗。对于“典型”患者，需要简化的策略。进行了一项研究，以评估具有内置诊断能力（自动设置）的新型持续气道正压通气（CPAP）设备在检测呼吸暂停方面的准确性。方法-27例患者接受了整夜的多导睡眠监测。同时使用“自动设置”获取数据。使用标准的鼻塞。通过对流量信号的特殊分析检测到呼吸暂停。由于自动设置功能从一个信号中获取所有数据，因此仔细检查原始数据对于评估流量信号的质量非常重要。结果-在自动设置（AI-Autoset）和多导睡眠图AI-PSG（r = 0.85）评估的呼吸暂停指数（AI）之间以及AI-自动设置和呼吸暂停/呼吸不足指数（AHI）之间存在相关性多导睡眠图（r = 0.87）。 Autoset识别出AHI-PSG> 20（在大多数睡眠障碍中心应考虑治疗的呼吸障碍水平）的患者，其敏感性为82％，特异性为90％。结论-Autoset和多导睡眠图测量的呼吸暂停指数之间的良好相关性，以及AHI> 20的高检测灵敏度，可能使Autoset成为管理典型睡眠呼吸暂停患者的有价值的工具。但是，打印输出中的鼻通气值非常低会引起人们怀疑信号质量差和结果产生误导。

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