Abstract
Introduction: At least half of Chronic Obstructive Pulmonary Disease (COPD) patients experience reduced sleep quality, and obstructive sleep apnea (OSA) worsens outcomes. Thus, objective sleep monitoring is often needed, but polysomnograpy is costly and often unavailable. The WatchPattm determines sleep by a pre-programmed algorithm based on peripheral arterial tone, pulse rate, oxygen saturation, motor activity, snoring and body position. In patients with OSA, the WatchPat demonstrated moderate agreement in detecting sleep stages[1]. Here, we validated WatchPat against polysomnography (PSG) in COPD patients.
Methods: In all, 16 COPD patients (7 men), mean age 61 years old, underwent simultaneous overnight recordings with PSG and the WatchPat. PSG defined N1 and N2 were classified as light sleep for epoch-by-epoch comparisons. PSG sleep was scored according to AASM guidelines by two RPSGT, blinded to the automated scoring by the WatchPat.
Results: WatchPat obtained 92% sensitivity (WatchPat = sleep when PSG = sleep), 44% specificity (WatchPat = wake when PSG = wake), 84% positive predictive value and 61% negative predictive value as compared to PSG. Between WatchPat and PSG, the overall epoch-by-epoch agreement for all sleep stages was 59%, with Cohen ? coefficient 0,347. Between the two PSG scorers the overall agreement was 91%, Cohen ? 0,856.
Conclusion: The WatchPat detect sleep stages with only fair agreement with PSG in COPD-patients.
[1] Hedner, J. et al. JCSM 2011;3:301-306
Footnotes
Cite this article as: ERJ Open Research 2019; 5 : Suppl. 3, P54.
This is an ERS Sleep and Breathing Conference abstract. No full-text version is available. Further material to accompany this conference is available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2019