Sleep最新文献

{"title":"\"Chatting\" about DISE: can machine learning tools assist decision making for obstructive sleep apnea?","authors":"Ofer Jacobowitz","doi":"10.1093/sleep/zsag118","DOIUrl":"10.1093/sleep/zsag118","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147875734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI meets sleep surgery: assessing drug-induced sleep endoscopy interpretation with a large language model.","authors":"Sholem Hack, Shibli Alsleibi, Shay Shemesh, Gabriel Nakache","doi":"10.1093/sleep/zsaf338","DOIUrl":"10.1093/sleep/zsaf338","url":null,"abstract":"<p><strong>Study objectives: </strong>To evaluate the performance and safety of a large language model in interpreting drug-induced sleep endoscopy (DISE) videos and providing treatment recommendations for obstructive sleep apnea, compared to expert human raters and the contemporaneous clinical report.</p><p><strong>Methods: </strong>This prospective, blinded study included 16 adults undergoing drug-induced sleep endoscopy at a tertiary academic center. For each case, an anonymized procedural video, clinical vignette, and examination findings were independently reviewed by two sleep surgery experts, a senior otolaryngology resident, and a large language model. All the raters assessed the video quality, airway maneuvers, airway collapse at each anatomical site, and recommended therapy. Concordance with the clinical reference standard was evaluated using Cohen's kappa and intraclass correlation coefficients. Safety and reproducibility were assessed through subgroup and error-type analyses.</p><p><strong>Results: </strong>Human raters demonstrated perfect or near-perfect agreement with the reference standard for the velum, oropharynx, tongue base, and jaw thrust response, and moderate agreement for epiglottic collapse. The large language model matched expert performance for all domains except the epiglottis, where moderate agreement was observed. Model-generated treatment recommendations were safe, consistent with accepted clinical practice, and highly reproducible between independent runs. No unsafe or discordant recommendations were identified.</p><p><strong>Conclusions: </strong>In this single-center study of 16 patients, a large language model accurately interpreted DISE videos and generated safe recommendations consistent with accepted clinical practice, approximating expert performance in most domains. Larger multicenter cohorts are needed to validate these findings and confirm generalizability. Statement of Significance This study demonstrates that artificial intelligence can interpret complex airway videos in sleep surgery and provide safe, expert-level treatment advice. By comparing the performance of a large language model with that of experienced clinicians, our findings suggest that advanced technology can help standardize decision-making in a highly subjective area of care. This work highlights the promise of artificial intelligence as an adjunct to clinical judgment, especially in settings where expert access is limited. However, important questions remain about the use of artificial intelligence in challenging cases and its integration into real-world practice. Future research should focus on larger, more diverse groups of patients and on ensuring ongoing oversight and safety.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145356134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Factors influencing the PAP adherence of elderly European sleep apnea patients in the ESADA cohort.","authors":"","doi":"10.1093/sleep/zsag136","DOIUrl":"10.1093/sleep/zsag136","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148043161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fidelity of remote, video-monitored experimental total sleep deprivation.","authors":"Blake K Barley, David Tran, Michael K Scullin","doi":"10.1093/sleep/zsag082","DOIUrl":"10.1093/sleep/zsag082","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study objectives: &lt;/strong&gt;We investigated the fidelity of conducting total sleep deprivation procedures outside of a controlled laboratory environment and the effects on sleepiness, stress/arousal, and learning outcomes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;Young adult participants wore sleep trackers for five days (n = 77; Mage = 19.78, 56.3% female, 55.6% white). After a baseline night, they were randomly assigned to control sleep versus total sleep deprivation conditions in their home setting. Participants in the total sleep deprivation condition were continuously monitored via web cameras and provided hourly reports on subjective sleepiness, lux exposure, and activities for one night. The next morning, participants completed stress/arousal assessments as well as a virtual lecture and immediate test on science concept learning. Following a 48-hour interval that included recovery sleep, participants repeated the subjective sleepiness, stress/arousal, and science concept test assessments.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;There were low rates of withdrawal (4%) or dismissal (6%) due to non-adherence. Participants completed all hourly reports and sleep tracker data indicated high adherence to the assigned sleep condition (control sleep: M = 7.54 hours; sleep deprivation: M = 0.04 hours). Sleepiness significantly and progressively worsened following total sleep deprivation, and returned to baseline levels following recovery sleep. Sleep deprivation dampened perceived physiological arousal and impaired science concept learning; these outcomes occurred in the absence of significant changes to reported stress. Following recovery sleep, science concept test performance was similar across conditions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;In healthy young adults, total sleep deprivation procedures can be implemented with high-fidelity in home settings, conferring opportunities for greater ecological validity, larger sample sizes, and potentially more broadly generalizable outcomes. Statement of Significance Total sleep deprivation experiments have required continuous monitoring in a laboratory environment, which is expensive, burdensome, and low in ecological validity. The current work utilized web cameras, digital software, and mobile sleep tracking to demonstrate that sleep deprivation experiments can be conducted in participants' home settings with high fidelity, adherence, and retention. Sleep deprivation caused worsening of sleepiness and educational learning, but recovery sleep returned these outcomes to baseline values. Though at-home sleep deprivation will not be appropriate for all research questions and study populations, this approach offers opportunities for efficient data collection of psychosocial, cognitive, and behavioral outcomes, larger sample sizes, and greater ecological validity. Furthermore, the remotely-monitored sleep deprivation approach may encourage new international collaborations for research groups across c","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147634110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep in a warming world: why climate change demands a new sleep science agenda.","authors":"Michael A Grandner","doi":"10.1093/sleep/zsag112","DOIUrl":"10.1093/sleep/zsag112","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357500/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148043789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do we sleep while our beds are burning? High ambient temperatures are associated with substantial sleep loss.","authors":"Bastien Lechat, Barbara Toson, Hannah Scott, Duc Phuc Nguyen, Billingsley Kaambwa, Amy C Reynolds, Jack Manners, Robert J Adams, Jean-Louis Pepin, Sebastien Bailly, Andrew J K Phillips, Pierre Escourrou, Peter Catcheside, Danny J Eckert","doi":"10.1093/sleep/zsaf323","DOIUrl":"10.1093/sleep/zsaf323","url":null,"abstract":"<p><strong>Study objectives: </strong>High ambient temperatures are associated with negative health outcomes, including heat stress, injuries and accidents, and poor mental health. Sleep loss may contribute to these adverse impacts. However, robust supporting evidence is lacking.</p><p><strong>Methods: </strong>Data from a global sample of sleep tracker users (N = 317 758; Withings Sleep Analyzer [WSA]: n = 116 879; Withings ScanWatch: n = 200 879) between January 2020 and September 2023 (~165 million nights) were analyzed. Ambient temperatures (24 hour average) were extracted from a climate model for each nightly observation based on the users' location. We used the case-time-series design with participant-year-week intercept and spline functions to derive exposure-response curves between temperature and short sleep (<6 hours/night) prevalence, adjusting for other time-varying factors and meteorological variables.</p><p><strong>Results: </strong>High temperatures (99th vs 50th percentile of the observed global distribution; 27.3°C vs 12.2°C) were associated with (mean [95%CI]) -15.2 [-15.6, -14.9] and -16.9 [-17.4, -16.4] minute sleep loss in the users of the smartwatch and under-mattress sensors, respectively. Similarly, high temperatures were associated with an approximately 40% relative increase in the probability of short sleep on the same night (WSA: Risk Ratio: RR [95%CI]; 1.40 [1.38, 1.41]; ScanWatch: 1.43 [1.41, 1.44]). Estimates ranged between 10% and 75% depending on the country. Sleep loss to high temperatures was higher in participants residing in Europe and countries with lower national gross domestic product per capita.</p><p><strong>Conclusions: </strong>High temperatures negatively impact sleep duration and increase the probability of short sleep globally. Our findings suggest that rising temperatures may increase the health impacts of short sleep. Statement of Significance High ambient temperatures are linked to negative health outcomes, with sleep loss potentially contributing to these effects. This study analyzed data from 317 758 global sleep tracker users to examine the relationship between temperature and short sleep. Results showed an approximately 40% relative increase in the probability of short sleep at high temperatures (99th vs 50th percentile; 27.3°C vs 12.2°C) globally. Sleep loss to high temperatures was higher in participants residing in countries with lower national gross domestic product per capita and older adults. These results suggest that sleep inadequacy from rising temperature due to climate change may further amplify global inequalities. Our findings also highlight the urgent need for targeted strategies to mitigate temperature-induced sleep loss.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357511/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The future of periodic limb movements during sleep: beyond the periodic limb movement index.","authors":"Lourdes M DelRosso","doi":"10.1093/sleep/zsag121","DOIUrl":"10.1093/sleep/zsag121","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147781407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleepiness and attention in sleep-clinic patients and their associations with apnea severity and treatment.","authors":"Allison Schwab, Brendan T Keenan, Nathan C Nowalk, Mathias Basner, Charles J Bae","doi":"10.1093/sleep/zsag094","DOIUrl":"10.1093/sleep/zsag094","url":null,"abstract":"<p><strong>Study objectives: </strong>Excessive daytime sleepiness (EDS) is common in patients with sleep disorders, particularly obstructive sleep apnea (OSA). The Epworth Sleepiness Scale (ESS) and the Psychomotor Vigilance Test (PVT) are often used to measure sleepiness and attention/vigilance, respectively. However, whether these measures are correlated and their relationship to OSA severity/treatment remains understudied. This study examined these associations in a sleep center population.</p><p><strong>Methods: </strong>We performed a prospective study of 165 participants (119 [72.1%] with diagnosed OSA) presenting to a sleep disorders clinic and completing ESS and PVT. Associations among ESS, PVT, OSA severity, and positive airway pressure (PAP) usage and efficacy were examined using Pearson's correlations, unadjusted and controlling for age, sex, and body mass index.</p><p><strong>Results: </strong>Results showed no significant correlations between ESS and PVT measures of attention/vigilance. While higher ESS scores correlated with more severe apnea-hypopnea indices in patients with OSA, no association was found with OSA severity and PVT measures. Among participants using PAP, greater hours/night of usage was associated with lower ESS scores, but not with better PVT performance.</p><p><strong>Conclusions: </strong>We found no association between sleepiness on the ESS and attention/vigilance on PVT among a sleep center population. ESS scores tracked more closely to OSA severity/treatment than PVT measures. The findings suggest that the sleepiness measured by the ESS and measures of sustained attention under monotonous conditions from the PVT capture distinct symptoms. While the ESS is commonly used, further research is needed to determine if the PVT should also be incorporated into clinical practice.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147964721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multicenter evaluation of the Waveband system for automated sleep assessment in patients with insomnia symptoms.","authors":"Silvia Frati Savietto, Antoine Guillot, Mason Harris, Jay Pathmanathan, Alexander M Chan, M Brandon Westover, Derek Hill, Valérie Bertaina-Anglade, Geoffrey Viardot, Pierrick Arnal, Jacob Donoghue","doi":"10.1093/sleep/zsag069","DOIUrl":"10.1093/sleep/zsag069","url":null,"abstract":"<p><strong>Study objectives: </strong>This study (Octave-3) aimed to validate the performance of the Waveband dry-electroencephalography sensor device for automatic sleep staging and sleep parameter estimation as compared to gold-standard in-lab polysomnography (PSG).</p><p><strong>Methods: </strong>Forty-five participants were enrolled, and 38 completed simultaneous PSG and Waveband recordings. PSG data were scored by six human technologists, while Waveband data were scored algorithmically. Agreement between sleep staging results and derived sleep parameters (total sleep time (TST), sleep efficiency (SE), sleep onset latency (SOL), latency to 10 minutes of persistent sleep (LPS), wake after sleep onset (WASO), and time spent in each sleep stage) was measured using the Intraclass Correlation Coefficient (ICC) and overall agreement (OA). Waveband OA was compared to each human rater using the leave-one-out consensus of the remaining five human experts.</p><p><strong>Results: </strong>Average OA between Waveband vs the leave one out consensuses was 87.3+/-5.4 per cent, equivalent to the average OA for individual human experts of 85.9+/-7.6 per cent (p > .1). Waveband and humans had better OA over the second half of the night, but Waveband had superior OA. ICCs for TST, SE, LPS, and WASO exceeded 0.9, indicating excellent agreement between automated Waveband and human PSG scoring. Lower agreement was found for time spent in N1, N3, and Rapid Eye Movement Sleep (REM), with ICCs ranging from 0.65 to 0.73.</p><p><strong>Conclusions: </strong>Waveband provides accurate sleep staging and estimation of TST, SE, SOL, LPS, and WASO, with comparable performance to human expert staging of PSG. Its reduced form-factor and good performance should make it a valuable tool for automated assessment of sleep in patients with disturbed sleep. Clinical Trial Information Trial name: Octave-3.URL: https://www.clinicaltrials.gov/study/NCT05438017Registration: NCT05438017.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147575475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex differences in sleep disturbances in middle childhood: findings from an urban pediatric cohort study.","authors":"Shuangyu Zhao, Jing Wang, Seyni Gueye-Ndiaye, Xiaoyu Li, Judith Owens, Diane R Gold, Jarvis T Chen, Wanda Phipatanakul, Susan Redline","doi":"10.1093/sleep/zsag051","DOIUrl":"10.1093/sleep/zsag051","url":null,"abstract":"<p><strong>Study objectives: </strong>While sleep differs in adult males and females, its variation by sex during childhood is less understood. We examined sex differences in sleep measures in children and explored the influences of selective socio-demographic and health-related factors on these associations.</p><p><strong>Methods: </strong>The cohort included 323 participants aged 6-12 years who resided predominantly in low-income urban neighborhoods. Sleep duration and maintenance efficiency were assessed using wrist actigraphy. Sleep-disordered breathing (SDB) was assessed from overnight in-home testing. Validated questionnaires assessed sleep-related impairment and sleep disturbance. Linear and logistic regression modeled associations between sex and sleep outcomes, testing for effect modification by demographics, indoor environment, and neighborhood factors.</p><p><strong>Results: </strong>Male children had higher odds for short sleep duration (<8 hours; Odds Ratio [OR] = 1.81, 95% confidence interval [CI] = 1.06, 3.08) and low sleep efficiency (<85%; OR = 2.04, 95% CI = 1.24, 3.35), which persisted after adjusting for health-related factors. Male sex was associated with a 17.4% higher geometric mean of SDB respiratory event frequency (p < .05). Effect modification analysis showed stronger associations between male sex and lower sleep efficiency for children older than 10 years, between male sex and short sleep duration for minority children, and between male sex and SDB for children of mothers with lower education. No sex differences were observed in parent-reported sleep outcomes.</p><p><strong>Conclusions: </strong>Male children were at higher risk for several objectively measured but not for caregiver-reported sleep outcomes; findings were unexplained by common health problems. Risk appeared further elevated in males who were older than 10 years and were of minority ethno-racial background or from homes with low maternal education.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147327134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}