OBJECTIVES: Obstructive sleep apnea reported as the apnea-hypopnea index (AHI) is usually measured in sleep laboratories using a high number of electrodes connected to the patient's body. In this study, we examined the use of a standard pulse oximeter system with an automated analysis based on the photoplethysmograph (PPG) signal for the diagnosis of sleep disordered breathing. Using a standard and simple device with high accuracy might provide a convenient diagnostic or screening solution for patient evaluation at home or in other out of center testing environments. METHODS: The study included 140 consecutive patients that were referred routinely to a sleep laboratory [SleepMed Inc.] for the diagnosis of sleep disordered breathing. Each patient underwent an overnight polysomnography (PSG) study according to AASM guidelines in an AASM-accredited sleep laboratory. The automatic analysis is based on photoplethysmographic and saturation signals only. Those two signals were recorded for the entire night as part of the full overnight PSG sleep study. The AHI calculated from the PPG analysis is compared to the AHI calculated from the manual scoring gold standard full PSG. RESULTS: The AHI and total respiratory events measured by the pulse oximeter analysis correlated very well with the corresponding results obtained by the gold standard full PSG. The sensitivity and specificity of AHI = or > 5 and 15 levels measured by the analysis are both above 90 %. The sensitivity and positive predictive value for the detection of respiratory event are both above 84 %. CONCLUSIONS: The tested system in this study yielded an acceptable result of sleep disordered breathing compared to the gold standard PSG in patients with moderate to severe sleep apnea. Accordingly and given the convenience and simplicity of the standard pulse oximeter device, the new system can be considered suitable for home and ambulatory diagnosis or screening of sleep disordered breathing patients.
OBJECTIVES: Obstructive sleep apnea reported as the apnea-hypopnea index (AHI) is usually measured in sleep laboratories using a high number of electrodes connected to the patient's body. In this study, we examined the use of a standard pulse oximeter system with an automated analysis based on the photoplethysmograph (PPG) signal for the diagnosis of sleep disordered breathing. Using a standard and simple device with high accuracy might provide a convenient diagnostic or screening solution for patient evaluation at home or in other out of center testing environments. METHODS: The study included 140 consecutive patients that were referred routinely to a sleep laboratory [SleepMed Inc.] for the diagnosis of sleep disordered breathing. Each patient underwent an overnight polysomnography (PSG) study according to AASM guidelines in an AASM-accredited sleep laboratory. The automatic analysis is based on photoplethysmographic and saturation signals only. Those two signals were recorded for the entire night as part of the full overnight PSG sleep study. The AHI calculated from the PPG analysis is compared to the AHI calculated from the manual scoring gold standard full PSG. RESULTS: The AHI and total respiratory events measured by the pulse oximeter analysis correlated very well with the corresponding results obtained by the gold standard full PSG. The sensitivity and specificity of AHI = or > 5 and 15 levels measured by the analysis are both above 90 %. The sensitivity and positive predictive value for the detection of respiratory event are both above 84 %. CONCLUSIONS: The tested system in this study yielded an acceptable result of sleep disordered breathing compared to the gold standard PSG in patients with moderate to severe sleep apnea. Accordingly and given the convenience and simplicity of the standard pulse oximeter device, the new system can be considered suitable for home and ambulatory diagnosis or screening of sleep disordered breathingpatients.
Authors: Laila Simpson; David R Hillman; Matthew N Cooper; Kim L Ward; Michael Hunter; Stewart Cullen; Alan James; Lyle J Palmer; Sutapa Mukherjee; Peter Eastwood Journal: Sleep Breath Date: 2012-11-16 Impact factor: 2.816
Authors: Offer Amir; Deganit Barak-Shinar; Yariv Amos; Mary MacDonald; Stephen Pittman; David P White Journal: J Clin Sleep Med Date: 2010-02-15 Impact factor: 4.062
Authors: Burcu Oktay; Thomas B Rice; Charles W Atwood; Michael Passero; Neeraj Gupta; Rachel Givelber; Oliver J Drumheller; Patricia Houck; Nancy Gordon; Patrick J Strollo Journal: J Clin Sleep Med Date: 2011-08-15 Impact factor: 4.062
Authors: Nancy A Collop; W McDowell Anderson; Brian Boehlecke; David Claman; Rochelle Goldberg; Daniel J Gottlieb; David Hudgel; Michael Sateia; Richard Schwab Journal: J Clin Sleep Med Date: 2007-12-15 Impact factor: 4.062
Authors: P Mayer; J C Meurice; F Philip-Joet; A Cornette; D Rakotonanahary; N Meslier; J L Pepin; P Lévy; D Veale Journal: Eur Respir J Date: 1998-10 Impact factor: 16.671