Sleep medicine最新文献

{"title":"Corrigendum to “Association between high loop gain sleep apnea detected by respiratory self-similarity and left ventricular remodeling” [Sleep Med 140 (2026) 108796]","authors":"Wentao Wu , Shanlin Zhong , Eline Oppersma , Wolfgang Ganglberger , Fengming Luo , Yuenan Ni , Robert Joseph Thomas","doi":"10.1016/j.sleep.2026.108821","DOIUrl":"10.1016/j.sleep.2026.108821","url":null,"abstract":"","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108821"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146158599","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":"Changes in quality of life in patients with atrial fibrillation and central sleep apnea treated with transvenous phrenic nerve stimulation","authors":"Shahrokh Javaheri ,&nbsp;Scott W. McKane ,&nbsp;Robin E. Germany","doi":"10.1016/j.sleep.2026.108824","DOIUrl":"10.1016/j.sleep.2026.108824","url":null,"abstract":"<div><h3>Background</h3><div>It is well-known patients with atrial fibrillation (AF) have significant fatigue and impaired quality of life (QoL). Because central sleep apnea (CSA) could be associated with AF, CSA could be a contributory but treatable comorbidity.</div></div><div><h3>Objectives</h3><div>Retrospective assessment of the impact of CSA treatment with transvenous phrenic nerve stimulation (TPNS) on sleep and QoL in a subgroup of patients with CSA and AF from the <strong>rem</strong>edē® System pivotal trial.</div></div><div><h3>Methods</h3><div>Patients were implanted with a TPNS device and randomized to treatment or control. Therapy was activated in the treatment arm and remained off in control for 6 months, when TPNS was also activated. Patients were followed through 12 months.</div></div><div><h3>Results</h3><div>Sixty-four of 151 implanted participants had AF, including 32 per arm. The apnea hypopnea index and central apnea index decreased significantly from medians of 49 and 20 events/hour of sleep at baseline to 21 and 1/hour after 6 months of TPNS therapy (p &lt; 0.001 for each), respectively. In parallel, changes in arousal index (48 at baseline vs. 25/hour of sleep at 6 months, p &lt; 0.001) and percent of sleep time with oxygen saturation less than 90% (8% vs. 4%, p = 0.071) improved. Compared to the control group, Patient Global Assessment and Epworth Sleepiness Scale improved significantly with treatment. Improvements were sustained for 12 months and results were similar in the control group after therapy activation.</div></div><div><h3>Conclusions</h3><div>AF was highly prevalent in patients with CSA. TPNS therapy may significantly improve sleep metrics, QoL, and daytime sleepiness in patients with CSA and AF.</div></div><div><h3>Registration</h3><div>ClinicalTrials.gov identifier NCT01816776.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108824"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146126570","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":"Swipe for sleep - a standardized evaluation of mobile health apps for insomnia in children and adolescents","authors":"Laura Simon ,&nbsp;Lena Sophia Steubl ,&nbsp;Merritt Gossmann ,&nbsp;Michael Stach ,&nbsp;Yannik Terhorst ,&nbsp;Julia Witte ,&nbsp;Olaf Reis ,&nbsp;Michael Kölch ,&nbsp;Christoph Berger ,&nbsp;Rüdiger Pryss ,&nbsp;Harald Baumeister ,&nbsp;Alexander Dück","doi":"10.1016/j.sleep.2026.108814","DOIUrl":"10.1016/j.sleep.2026.108814","url":null,"abstract":"<div><h3>Introduction</h3><div>Access to cognitive behavioral therapy for insomnia (CBT-I) in children and adolescents is limited. Mobile health applications (MHAs) available in app stores may provide an accessible and scalable option for delivering CBT-I. This study systematically evaluated the quality of MHAs targeting insomnia in children and adolescents and examined their evidence base and treatment components.</div></div><div><h3>Methods</h3><div>In November 2024, a systematic search of the Google Play and Apple App Stores was conducted to identify MHAs targeting insomnia in children and adolescents. MHAs were screened for eligibility in a two-level process: first based on app store descriptions, then after downloading the MHA. Eligible MHAs were independently evaluated using the German Mobile Application Rating Scale (MARS-G), which rates MHAs from 1 (inadequate) to 5 (excellent) across the subscales engagement, functionality, aesthetics, and information. Additionally, the featured treatment components and supporting scientific evidence were assessed.</div></div><div><h3>Results</h3><div>Of 2341 MHAs initially identified, eight MHA products met the inclusion criteria. The overall quality was moderate (mean = 3.5, SD = 0.4). Among the subscales, functionality was rated highest (mean = 3.8, SD = 0.6), followed by aesthetics (mean = 3.6, SD = 0.6), engagement (mean = 3.3, SD = 0.4), and information (mean = 3.1, SD = 0.8). Sleep hygiene was the most commonly featured treatment component (seven MHA products). While scientific evidence was identified for five MHA products, none specifically evaluated insomnia in the target population.</div></div><div><h3>Conclusion</h3><div>Although many MHAs claim to target sleep in children and adolescents, few incorporate CBT-I components beyond sleep hygiene. The moderate quality and limited evidence base underscore the need for theory-driven, rigorously evaluated MHAs tailored to this age group.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108814"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120105","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":"SOMAS – an open-source software for the analysis of muscle activity during sleep","authors":"Matteo Cesari ,&nbsp;Raffaele Ferri ,&nbsp;Birgit Högl ,&nbsp;Ambra Stefani ,&nbsp;Alessandro Silvani","doi":"10.1016/j.sleep.2026.108791","DOIUrl":"10.1016/j.sleep.2026.108791","url":null,"abstract":"<div><h3>Study objectives</h3><div>While several algorithms exist for analyzing muscle activity during sleep, none provides information on both muscle tone and movements as open-source software. We aimed to overcome this limitation by developing SOMAS (Sleep Open-source Muscle activity Analysis System).</div></div><div><h3>Methods</h3><div>SOMAS processes European Data Format+ (EDF+) files with wake-sleep state and candidate leg movement annotations without online data sharing, quantifies muscle tone using the atonia index and the distribution of normalized electromyography values (DNE), and calculates leg movement indices based on the 2016 World Association of Sleep Medicine criteria. To demonstrate that SOMAS achieves its intended purpose, we analyzed recordings from eight patients with isolated REM sleep behavior disorder (iRBD), five with restless legs syndrome (RLS), seven with sleep breathing disorders, and five controls. SOMAS-derived atonia index and leg movement indices were compared with those from Hypnolab, a non-open access software. Additionally, SOMAS-derived indices were used to differentiate patients with iRBD or with RLS from other patients and/or controls.</div></div><div><h3>Results</h3><div>SOMAS-derived atonia index and leg movement indices strongly correlated with Hypnolab results (Spearman coefficients &gt;0.97) with minimal bias. The DNE and atonia index in REM sleep effectively differentiated patients with iRBD from other patients and controls (AUC 0.89–1.00). The periodic leg movement and periodicity indices differentiated patients with RLS from controls (AUC 0.71–0.75).</div></div><div><h3>Conclusions</h3><div>SOMAS reliably quantifies muscle tone and movements during sleep from EDF+ files using open-source algorithms, with the potential of enhancing reproducibility and collaboration in research on sleep-related movement disorders.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108791"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146158567","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":"Insomnia-LCA classifier: an open web application for insomnia subtype classification using latent class analysis","authors":"Matteo Carpi ,&nbsp;Daniel Ruivo Marques","doi":"10.1016/j.sleep.2026.108813","DOIUrl":"10.1016/j.sleep.2026.108813","url":null,"abstract":"<div><div>The heterogeneity of insomnia presentations has long challenged research and clinical practice, motivating efforts to identify reliable disorder phenotypes. Person-centered, data-driven approaches such as latent class analysis (LCA) have provided new insights, suggesting that insomnia subtypes may differ not only in nocturnal symptoms but also in perceived impact and daytime distress. Despite this progress, LCA solutions often remain confined to the original datasets, limiting replication and applied use.</div><div>To address this gap, we developed the <em>insomnia-LCA classifier</em>, an open-source web application that assigns new Insomnia Severity Index (ISI) response profiles to one of four subtypes identified in a previously published LCA of Italian university students: no insomnia (NI), subthreshold insomnia (SI), high insomnia risk (HI), and predominant daytime symptoms (DS). Using the original model's class priors and item-level conditional response probabilities, the app computes posterior class probabilities from user-entered ISI responses, individually or in batch mode. Outputs include class probabilities and modal assignment, ISI total and subscale scores, and a visual comparison between the individual profile and subtype mean patterns.</div><div>Reclassification of the original dataset showed near-perfect agreement with the latent class model (accuracy = 0.999; Cohen's kappa = 0.999), and synthetic profiles behaved as expected. The <em>insomnia-LCA classifier</em> provides a practical, reproducible tool for deploying and testing LCA-derived phenotypes in clinical research.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108813"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146096031","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":"Obstructive sleep apnea as a potential mechanistic link between second-generation antipsychotics and metabolic syndrome: a narrative review","authors":"Folkert H. van Bruggen ,&nbsp;Roger S. McIntyre","doi":"10.1016/j.sleep.2026.108831","DOIUrl":"10.1016/j.sleep.2026.108831","url":null,"abstract":"<div><div>This narrative review examines why metabolic syndrome is highly prevalent among individuals treated with second-generation antipsychotics (SGAs), yet weight gain alone does not fully explain this elevated risk. Metabolic disturbances frequently emerge soon after antipsychotic initiation, even without clinically significant changes in body mass, suggesting weight-independent mechanisms. Emerging evidence indicates that SGAs may influence respiratory regulation and increase vulnerability to obstructive sleep apnea (OSA), a common but underrecognized comorbidity in psychiatric populations. OSA contributes to metabolic dysfunction through recurrent nocturnal hypoxia, inflammation, sympathetic activation, and impaired glucose regulation, raising the possibility that SGA-related alterations in breathing could precipitate or exacerbate OSA thereby accelerating metabolic deterioration. Observational studies report higher OSA prevalence among individuals with psychiatric disorders and suggest that SGA use may increase OSA risk independently of adiposity. Proposed mechanisms include SGA-induced reductions in upper-airway muscle tone, alterations in ventilatory control, and metabolic disturbances such as insulin resistance, each of which may heighten airway collapsibility or breathing instability. Collectively, these findings support the hypothesis that OSA may represent a mechanistic link between SGA exposure and metabolic syndrome. Clarifying this relationship could identify a modifiable pathway and inform screening and treatment strategies aimed at reducing cardiometabolic and psychiatric burden in SGA-treated populations.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108831"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171874","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":"Comparative effectiveness of CPAP and isolated or combined non-invasive therapies for obstructive sleep apnea: A network meta-analysis","authors":"Merly Fernanda Illera Castellanos ,&nbsp;Janina Lied da Costa ,&nbsp;Leandro Machado Oliveira ,&nbsp;Jênifer de Oliveira ,&nbsp;Fabricio Batistin Zanatta ,&nbsp;Carine Cristina Callegaro","doi":"10.1016/j.sleep.2026.108795","DOIUrl":"10.1016/j.sleep.2026.108795","url":null,"abstract":"<div><h3>Introduction</h3><div>Obstructive sleep apnea (OSA) is a prevalent condition associated with an increased risk of multiple adverse health outcomes. CPAP is the standard treatment. However, poor adherence has increased interest in alternative and combined non-invasive therapies.</div></div><div><h3>Objective</h3><div>This network meta-analysis compares the effectiveness of CPAP alone, isolated non-invasive therapies, and their combinations in key clinical outcomes for OSA.</div></div><div><h3>Methods</h3><div>Fifty-five randomized controlled trials were analyzed, comparing interventions such as CPAP, mandibular advancement devices (MAD), oropharyngeal myofunctional therapy (OMT), inspiratory muscle training (IMT), and combined approaches. Outcomes assessed included apnea-hypopnea index (AHI), minimum oxygen saturation (SpO₂), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and oxygen desaturation index (ODI). The certainty of evidence was evaluated using the GRADE framework.</div></div><div><h3>Results</h3><div>CPAP was the most effective for reducing AHI and improving minimum SpO₂. OMT outperformed CPAP in reducing daytime sleepiness, while the combination of CPAP and IMT was more effective than CPAP alone in improving sleep quality. CPAP showed no significant differences compared to other interventions regarding mean SpO₂, time spent with SpO₂ &lt; 90%, and ODI. Compared to the control group, MADs and OMT reduced AHI, while IMT and OMT decreased daytime sleepiness and improved sleep quality.</div></div><div><h3>Conclusion</h3><div>Although CPAP remains the gold standard for treating OSA, combining CPAP with IMT and using OMT alone provide additional benefits for sleep quality and daytime sleepiness, respectively. MADs and OMT are viable alternatives for patients who are intolerant to CPAP. However, the effectiveness of combination therapies requires further high-quality evidence.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108795"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171888","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":"Obstructive sleep apnea and echocardiographic indicators of elevated pulmonary hypertension probability after pulmonary endarterectomy in chronic thromboembolic pulmonary hypertension","authors":"Caner Çınar ,&nbsp;Şehnaz Olgun Yıldızeli ,&nbsp;Halil Ataş ,&nbsp;Baran Balcan ,&nbsp;Bülent Mutlu ,&nbsp;Bedrettin Yıldızeli ,&nbsp;Yüksel Peker","doi":"10.1016/j.sleep.2026.108827","DOIUrl":"10.1016/j.sleep.2026.108827","url":null,"abstract":"<div><h3>Study objectives</h3><div>We previously demonstrated that 80% of patients with chronic thromboembolic pulmonary hypertension (CTEPH) exhibit sleep-related breathing disorders (SBDs), primarily obstructive sleep apnea (OSA), followed by isolated sleep-related hypoxemia (ISRH). In this follow-up study, we aimed to assess the distribution of SBDs and predictors of echocardiography-based residual pulmonary hypertension (PH) risk after pulmonary endarterectomy (PEA) in the same cohort.</div></div><div><h3>Methods</h3><div>Overnight polysomnography and echocardiography were performed in 24 CTEPH patients approximately 112 ± 65 days after PEA. Residual PH risk was defined as peak tricuspid regurgitation velocity (TRV) &gt; 2.8 m/s and systolic pulmonary artery pressure (SPAP) ≥ 30 mmHg.</div></div><div><h3>Results</h3><div>In the overall cohort, PEA significantly reduced TRV (from 3.7 ± 0.9 to 2.5 ± 0.9 m/s, p &lt; 0.001) and SPAP (58.3 ± 26.9 to 29.8 ± 17.7 mmHg, p &lt; 0.001). Among six patients with preoperative ISRH, two improved, while four developed OSA postoperatively. Of the 16 patients with preoperative OSA, 14 remained in the same category after surgery. Residual PH risk was observed in 13 patients (54.2%), all of whom had OSA, while no residual PH risk was detected in patients without SBDs (p = 0.003). In multivariate logistic regression, postoperative apnea–hypopnea index was independently associated with echo-based residual PH risk (odds ratio 1.19; 95% CI 1.02–1.38; p = 0.025), after adjustment for age, sex, body mass index, and baseline mean pulmonary arterial pressure.</div></div><div><h3>Conclusions</h3><div>PEA improves pulmonary hemodynamics and resolves ISRH in some patients with CTEPH. However, residual PH risk remains frequent and is independently associated with OSA severity. These findings emphasize the importance of systematic screening, early diagnosis, and management of OSA to potentially mitigate residual PH risk and improve postoperative outcomes in CTEPH.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108827"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146143399","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":"Gut microbiota, sleep quality, and cognitive function in adults: A systematic review","authors":"Hesam A. Varpaei ,&nbsp;Lorraine B. Robbins ,&nbsp;Mathew J. Reeves ,&nbsp;Pallav Deka ,&nbsp;Fabrice I. Mowbray ,&nbsp;Stuart F. Quan","doi":"10.1016/j.sleep.2026.108834","DOIUrl":"10.1016/j.sleep.2026.108834","url":null,"abstract":"<div><h3>Background</h3><div>Gut microbiota and sleep quality are reported to be important in physiological processes such as cognitive function. Yet, a systematic review examining the effect of both gut microbiota and sleep quality on cognitive function in adults is lacking. Therefore, this study aimed to examine the association between both sleep quality (efficiency, total sleep time) and gut microbiota composition in relation to cognitive function in adults.</div></div><div><h3>Methods</h3><div>This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched five online databases for original studies on human subjects that assessed cognitive function, sleep quality, and gut microbiota were eligible. The initial search resulted in 1646 titles/abstracts. Following the removal of duplicates and applying eligibility criteria, 21 studies (52% from China; 70.5% cross-sectional; 2,901patients) were included.</div></div><div><h3>Results</h3><div>Sleep quality was assessed both using subjective and objective measures. Cognitive function was mostly evaluated with the Montreal Cognitive Assessment (38% of studies), while gut microbiota was predominantly analyzed using 16S rRNA sequencing (62%). Interestingly, no study was found that assessed gut microbiota, sleep, and cognitive function in individuals with cardiovascular disease. Observational findings consistently link objective sleep measures (efficiency, total sleep time) to greater gut microbial diversity in healthy adults, which correlates positively with better cognitive function. This relationship is mediated by microbial diversity relating significantly to inter-network functional connectivity in the brain. Conversely, pathological findings revealed that chronic insomnia is defined by a distinct microbiota dysbiosis (decreased Firmicutes/Actinobacteria and increased Bacteroidetes). Interventional studies showed that probiotic supplementation modulated gut composition, reduced physiological stress markers, and enhanced sleep quality and cognitive function in patients with cognitive impairment.</div></div><div><h3>Conclusion</h3><div>This systematic review confirms a complex and reciprocal relationship between sleep quality, gut microbial composition, and cognitive function in adults; therefore, optimal sleep and cognition are linked to greater gut microbial diversity. Higher microbial diversity correlates with superior objective sleep metrics and better cognitive function, mediated by enhanced inter-network functional connectivity in the brain. No studies assessed this triad (sleep, microbiota, and cognitive function) in individuals with cardiovascular diseases, marking a significant research gap.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108834"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146166772","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":"Evaluation of an automated sleep apnea scoring algorithm via the Wesper Lab home sleep apnea test","authors":"Chelsie Rohrscheib ,&nbsp;Antonio Artur Moura ,&nbsp;Janna Raphelson ,&nbsp;Jeremy E. Orr ,&nbsp;Ruchir P. Patel ,&nbsp;Atul Malhotra","doi":"10.1016/j.sleep.2026.108828","DOIUrl":"10.1016/j.sleep.2026.108828","url":null,"abstract":"<div><div>This study evaluated the performance of the Wesper Lab home sleep apnea test (HSAT) artificial intelligence (AI) automated scoring algorithm under both in-laboratory and real-world conditions. We conducted a multi-tiered validation using two datasets and three analyses. The primary analysis compared apnea–hypopnea index (AHI) and central apnea index (CAI) from Wesper Lab HSATs with simultaneous polysomnography (PSG) scored by blinded technologists (n <span><math><mo>=</mo></math></span> 44). The secondary analysis evaluated blinded scoring of raw Wesper Lab signals from the same 44 patients: first by a single scorer, then by two additional scorers to assess inter-scorer consistency. The tertiary analysis examined clinical HSATs (n <span><math><mo>=</mo></math></span> 139) in which algorithm-derived AHI was compared with expert rescoring across 11 independent clinics. Agreement metrics included Pearson correlation, Bland-Altman analysis, and confusion matrices. Primary analysis: the algorithm showed strong correlation with PSG for AHI (r <span><math><mo>=</mo></math></span> 0.90) and CAI (r <span><math><mo>=</mo></math></span> 0.82) with minimal bias on Bland-Altman analysis. Secondary analysis: the correlation was r <span><math><mo>=</mo></math></span> 0.95 with minimal bias. Across three scorers, correlation remained <span><math><mrow><mo>≥</mo><mn>0</mn><mo>.</mo><mn>93</mn></mrow></math></span>. Tertiary analysis: correlation was r <span><math><mo>=</mo></math></span> 0.98 with minimal bias. These findings demonstrate that the Wesper Lab autoscoring algorithm is a reliable tool for obstructive sleep apnea and central apnea event detection, supporting its role as an HSAT platform that enhances accessibility to sleep apnea diagnosis.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"141 ","pages":"Article 108828"},"PeriodicalIF":3.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146166863","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}