Home set-up polysomnography (PSG) has advantages over other portable monitoring devices, but remains unendorsed by professional bodies despite excellent utility in the Sleep Heart Health Study (SHHS). The study aims to determine technical reliability and diagnostic accuracy of unattended, home set-up versus attended laboratory-based PSG in patients with suspected obstructive sleep apnea (OSA). Thirty patients with suspected OSA without significant co-morbidity were recruited. After initial lab-PSG (Compumedics S series), patients underwent home set-up PSG (Compumedics Siesta) and lab-based PSG in random order. Studies were compared for study success, signal loss and likelihood ratio for OSA diagnosis [apnea-hypopnea index (AHI) >10]. Thirty subjects (mean age 49±13.8 years, body mass index 31±6.1 kg m(-2) ) completed investigations. SHHS technical acceptability criteria were met by all lab-based PSGs and 90% of home-based PSGs (93% clinically acceptable). Signal loss was higher at home (P=0.008). Sleep efficiency was similar between sites, but more preferred home-based PSG (50%). ancova revealed AHI was significantly different if initial AHI >26 per h (P=0.006), with an average underestimate of 5.1 per h at home. In technically acceptable studies the likelihood ratios to 'rule in' and 'rule out' OSA were 8.1 and 0.1, respectively. Unattended, home set-up PSG is technically reliable and achieves excellent diagnostic utility. Signal loss was higher at home but mitigated by multi-channel redundancy. Success rate was similar to SHHS and superior to laboratory set-up home studies. Home set-up PSG is a valid alternative to laboratory-based PSG for suspected OSA.
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http://dx.doi.org/10.1111/j.1365-2869.2010.00854.x | DOI Listing |
Nat Sci Sleep
June 2024
Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Purpose: Body-worn accelerometers are commonly used to estimate sleep duration in population-based studies. However, since accelerometry-based sleep/wake-scoring relies on detecting body movements, the prediction of sleep duration remains a challenge. The aim was to develop and evaluate the performance of a machine learning (ML) model to predict accelerometry-based sleep duration and to explore if this prediction can be improved by adding skin temperature data, circadian rhythm based on the estimated midpoint of sleep, and cyclic time features to the model.
View Article and Find Full Text PDFSleep Med
May 2024
Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Objective: The current electroencephalography (EEG) measurement setup is complex, laborious to set up, and uncomfortable for patients. We hypothesize that differences in EEG signal characteristics for sleep staging between the left and right hemispheres are negligible; therefore, there is potential to simplify the current measurement setup. We aimed to investigate the technical hemispheric differences in EEG signal characteristics along with electrooculography (EOG) signals during different sleep stages.
View Article and Find Full Text PDFJ Clin Sleep Med
September 2023
Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, Australia.
Study Objectives: Diagnostic polysomnography (PSG) is the gold standard test to evaluate sleep-disordered breathing in children. Little is known about how children with neurodevelopmental disorders (NDD) tolerate electrodes and sensors in PSG compared to neurotypical children.
Methods: In this retrospective cohort study of children > 12 months of age who underwent diagnostic PSG at our center from 01/01/2021-30/06/2021, we used sleep technician and physician reports to determine how PSG was tolerated in children with NDD compared to neurotypical children.
J Clin Sleep Med
July 2022
Sleep Unit, Department of Respiratory and Sleep Medicine, Royal Children's Hospital, Melbourne, Australia.
Study Objectives: The gold standard for diagnosis of pediatric obstructive sleep apnea (OSA) is level 1 polysomnography (PSG). At our centre, some children are selected for unattended level 2 home sleep apnea testing (HSAT) with telehealth support, and we sought to review this home service.
Methods: A retrospective audit was conducted from 2013 to 2020.
Sleep Med
February 2022
Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA.
Objectives: To examine if the presence of a certified child life specialist (CCLS) had a positive impact on patient emotion at the time of polysomnography setup and to determine the optimal timing of CCLS intervention prior to polysomnography (PSG) in our sleep center.
Methods: We implemented a study which measured the impact of a CCLS on the emotional manifestation score (EMS) of pediatric patients (4 months-17 years, median 7 years) during PSG setup. CCLS intervention was either at the time of sleep medicine consultation (daytime) or during PSG setup (evening).
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