Study Objectives: To evaluate epoch by epoch agreement in sleep stage assignment between scorers from different laboratories.
Design: N/A.
Methods: 62 NPSGs were selected for analysis from 3 sleep centers (38 diagnostic studies for sleep disordered breathing [SDB], 10 studies during CPAP titration, and 14 studies in subjects with no sleep related complaints or sleep pathology). The sleep recording montage consisted of at least 2 EEG leads, left and right EOG and a submental EMG. Scoring was performed manually by 5 experienced sleep technologists. No scorer had knowledge of any other scorers' results. Agreement was tabulated both for sleep stage distribution and on an epoch by epoch basis for the entire data set and the normal and SDB subsets.
Measurements And Results: The mean epoch by epoch agreement between scorers for all records was 73% (range 67-82%). Agreements were higher in the normal subset (mean 76%, range 65-85%) than in the SDB subset (mean 71%, range 65-78%). There was significant variability in agreement between records and between pairs of scorers. Overall, 75% of epochs had at least 4 of the 5 scorers in agreement on the sleep stage and 96% of epochs had agreement of at least 3 of the 5 scorers.
Conclusions: The level of agreement in sleep stage assignment varies between scorers, by diagnosis, and by record. The level of agreement between laboratories is lower than what can be maintained between scorers within the same laboratory. This warrants caution when comparing data scored in separate laboratories. The lower agreement in SDB patients supports the generally held view that sleep fragmentation makes application of the R&K rules less reliable.
Download full-text PDF |
Source |
---|
Nat Sci Sleep
January 2025
Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Purpose: Approximately 30% of patients with sleep-disordered breathing (SDB) present with masked hypertension, primarily characterized by elevated nighttime blood pressure. This study aimed to develop a hypertension prediction model tailored for primary care physicians, utilizing simple, readily available predictors derived from type IV sleep monitoring devices.
Patients And Methods: Participants were recruited from communities in Guangdong Province, China, between April and May 2021.
Chron Respir Dis
January 2025
Respiratory Research@Alfred, School of Translational Medicine, Monash University, Melbourne Australia.
Objectives: To assess the safety, reliability and acceptability of the modified incremental step test (MIST) supervised remotely via videoconferencing in adults with chronic respiratory disease.
Methods: Adults with chronic respiratory disease undertaking pulmonary rehabilitation were invited to undertake the MIST under two testing conditions: in-person supervision and remote supervision via video-conferencing. Test order was randomised.
J Clin Sleep Med
January 2025
Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Study Objectives: Evaluate the performance of the SANSA device to simultaneously assess obstructive sleep apnea (OSA) and cardiac arrhythmias.
Methods: Participants suspected or known to have OSA underwent polysomnography (PSG) while wearing SANSA. SANSA's algorithm was trained using 86 records and tested on 67 to evaluate training bias.
J Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychology, University of Oregon, Eugene, OR, USA.
Situational factors can influence cognitive performance and should be considered for conducting cognitive assessments. The objective of this project was to develop a checklist for Cognitive Assessment Requirements (CARE) to identify these situational factors before conducting cognitive assessments and account for them. This study employed a four-round Delphi approach involving 22 experts to identify situational factors that can impact cognitive assessment results.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!