Chest
Clinical InvestigationsSleep and BreathingEvaluation of Unattended Automated Titration To Determine Therapeutic Continuous Positive Airway Pressure in Patients With Obstructive Sleep Apneaa
Section snippets
Patients
The sample population consisted of consecutive patients referred for suspicion of OSAS. However, since we usually perform sleep studies in the pneumology unit, the incidence of respiratory diseases (associated COPD, obesity-hypoventilation syndrome) in our patients is quite high. All patients underwent complete evaluation, including a full polysomnography, arterial blood gas analysis, and lung function testing.
Patients were included in the present study if they met the following criteria: (1)
Results
We included 16 consecutive patients (13 men and 3 women) who underwent standard polysomnography in our department. Demographics and lung function parameters are reported in Table 1. Mean age was 60 ± 10 years. Most of the patients were obese, since the median body mass index was 36 (interquartile range [IQR], 32 to 41).
Lung function variables demonstrated frequent association with COPD with various degrees of airways obstruction. Mean FEV1 was 71 ± 22% of predicted for the group. The median FEV1
Discussion
The present study demonstrates clearly that for a given patient, the recommended pressures (P95) obtained by two different autotitrating CPAP devices can differ considerably. Indeed, the difference of P95 was as high as 8 cm H2O in one patient. The P95 pressures and the P50s were significantly higher for the Autoset device compared to the Somnosmart device (p = 0.005 for each comparison). There was a great bias of 3 cm H2O and a complete lack of agreement between the two devices (limits of
Conclusion
Automated titration based on the analysis whether of flow (Autoset) or of forced oscillations (Somnosmart) predicted significant different therapeutic pressures for fixed CPAP therapy in patients with OSAS. These differences in recommended pressures between the Autoset and the Somnosmart were not due to differences in the severity of OSAS nor to the presence of an underlying lung disease. They could be explained by differences in algorithms, different analyses of signals, and a possible effect
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