Accuracy of an intelligent CPAP machine with in-built diagnostic abilities in detecting apnoeas: a comparison with polysomnography.

摘要: BACKGROUND--In patients with sleep apnoea early diagnostic evaluation and treatment may be delayed due to limited access full polysomnography (PSG). For "typical" patients, simplified strategies are needed. A study was performed evaluate the accuracy of a new continuous positive airway pressure (CPAP) device in-built abilities (Autoset) in detecting apnoeas. METHODS--Twenty seven underwent overnight polysomnography. Data Autoset were acquired simultaneously. Standard nasal prongs used. Apnoeas detected by special analysis flow signal. As derives all its data from one signal, careful examination raw is important assess quality RESULTS--There correlation between index (AI) assessed (AI-Autoset) AI-PSG (r = 0.85) AI-Autoset apnoea/hypopnoea (AHI) during 0.87). The identified an AHI-PSG > 20 (a level respiratory disturbance that would warrant consideration for most centres disorders) sensitivity 82% specificity 90%. CONCLUSIONS--The good measured polysomnography, high AHI 20, make valuable tool management typical apnoea. However, very low values ventilation on printout raises suspicion poor signal misleading results.