[Comparison of AutoSet with polysomnography in the diagnosis of sleep apnea syndrome].
OBJECTIVE
To evaluate the validation of the AutoSet system in the diagnosis of sleep apnea syndrome(SAS).


METHODS
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.


RESULTS
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.


CONCLUSIONS
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.
Wang
H
H
Beijing Red Cross, Chao Yang Hospital, Capital University of Medical Science, Beijing 100020.
Yang
T
T
Cao
K
K
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001331:Automation; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017286:Polysomnography / Q000379:methods; D011175:Positive-Pressure Respiration; D012680:Sensitivity and Specificity; D012891:Sleep Apnea Syndromes / Q000175:diagnosis* / Q000503:physiopathology