Sleep and Biological Rhythms最新文献

{"title":"Choroid plexus enlargement in patients with rapid eye movement sleep behavior disorder: relevance to glymphatic system dysfunction.","authors":"Dong Ah Lee, Ho-Joon Lee, Kang Min Park","doi":"10.1007/s41105-024-00568-3","DOIUrl":"10.1007/s41105-024-00568-3","url":null,"abstract":"<p><p>Choroid plexus volume change has been suggested as a biomarker for the course of various neurological diseases. However, its role in sleep disorders remains unclear. We analyzed choroid plexus volume changes in patients with isolated rapid eye movement sleep behavior disorder (iRBD) compared with healthy controls. We enrolled 27 patients with iRBD and 27 healthy controls. All participants underwent brain magnetic resonance imaging (MRI), including three-dimensional T1-weighted imaging suitable for volumetric analysis. iRBD was diagnosed based on overnight polysomnography and corresponding clinical history. We compared the choroid plexus volume between patients with iRBD and healthy controls, and investigated the relationship between choroid plexus volume and polysomnographic findings. The mean choroid plexus volume was significantly larger in patients with iRBD than in healthy controls (2.379% vs. 2.116%, <i>p</i> = 0.002). No significant correlation was observed between choroid plexus volume and polysomnographic findings in patients with iRBD. Patients with iRBD demonstrated choroid plexus enlargement compared with healthy controls. This finding could be related with glymphatic system dysfunction in this population.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"189-195"},"PeriodicalIF":1.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of automatic sleep stage classification using machine learning algorithms based on heart rate variability.","authors":"Ruoxi Yu, Yan Li, Kangqing Zhao, Fangfang Fan","doi":"10.1007/s41105-024-00563-8","DOIUrl":"10.1007/s41105-024-00563-8","url":null,"abstract":"<p><p>Over the past few decades, the use of heart rate variability (HRV) has expanded significantly due to its ease of collection, affordability, and its clinical relevance to psychophysiological processes and psychopathological disorders. This study aims to demonstrate the effectiveness of an artificial intelligence approach based on HRV signals for automatic sleep stage classification. This review examines machine learning algorithms for HRV-based sleep stage classification over the past 15 years. It also compares the HRV features extracted, the classification algorithms used, and the evaluation parameters employed. Existing studies indicate that with advances in technology, machine learning algorithms utilizing HRV features for sleep staging achieve high accuracy, sensitivity, and specificity. The use of HRV for sleep analysis via machine learning algorithms is an active area of research with broad application potential. As technology progresses and data accumulation increases, this approach is expected to offer more accurate and personalized solutions for sleep medicine and health management.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"113-125"},"PeriodicalIF":1.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971079/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of daylight savings time transition on compliance and effectiveness of positive airway pressure therapy.","authors":"Andreja Packard, Jamie S Amos, Emir Festic","doi":"10.1007/s41105-024-00565-6","DOIUrl":"10.1007/s41105-024-00565-6","url":null,"abstract":"<p><p>Spring transitions into daylight savings time (DST) result in increase of sleep latency and fragmentation and decrease of sleep time and efficiency. We evaluated the effects of DST on patterns of positive airway pressure (PAP) use and its effectiveness by utilizing continuous tracking of PAP therapy available with cloud-based sleep care management systems. 62 compliant adult OSA patients from Jacksonville, Florida, USA on stable continuous PAP (CPAP)/autoPAP (APAP) therapy were enrolled and PAP usage and residual apnea-hypopnea index (AHI) were collected for the \"pre-DST period\" (Sun-Mon-Tue, 7-9/03/2021) and \"DST period\" (Sun-Mon-Tue, 14-16/03/2021) from compliance reports generated or downloaded via cloud-based sleep care management systems. Demographic variables, average compliance and effectiveness of PAP during the two weeks that included both intervals of interest (from Wednesday 3rd to Wednesday 17th) were further analyzed. Statistics included repeated measures ANOVA, non-parametric Wilcoxson's rank sum tests, independent and paired T tests, and Chi-square test. Majority of patients were Caucasian (73%); with average age of 57.5 ± 11 years, 443.1 ± 124 min of nightly PAP use, and 0.97 ± 0.06% of PAP compliance. 73% of patients were male, with no significant differences noted for sleep variables between genders. There was significant decrease in PAP usage duration between pre-DST Mondays and DST Mondays (delta_normalized_PAP_duration = -0.18, <i>p</i> = 0.0027). AHI demonstrated significant decrease on DST Mondays, followed by significant increase on DST Tuesdays (deltaAHI = - 0.54 and 0.47 respectively). This study demonstrated that the effects of DST on duration of PAP use and sleep disruption monitored by AHI are seen days after DST transition, even in the zones with very stable light/dark cycles like Florida, USA.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"163-169"},"PeriodicalIF":1.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between sleep duration and mortality in cancer patients.","authors":"Osamu Itani","doi":"10.1007/s41105-024-00560-x","DOIUrl":"10.1007/s41105-024-00560-x","url":null,"abstract":"","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 1","pages":"3-4"},"PeriodicalIF":1.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meta-analysis of the prevalence of obstructive sleep apnea and associated risk factors among Parkinson's disease.","authors":"Nur Aini, Alfiani Rahmi Putri, Kondwani Joseph Banda, Fitria Endah Janitra","doi":"10.1007/s41105-024-00561-w","DOIUrl":"10.1007/s41105-024-00561-w","url":null,"abstract":"<p><p>Sleep disorders are the most distressing non-motor problems among Parkinson's disease (PD), whereas obstructive sleep apnea (OSA) is a type of sleep disorder that commonly occurs in Parkinson's disease. Therefore, we conducted this meta-analysis to estimate the prevalence of OSA in Parkinson's disease. A comprehensive search in CINAHL, Embase, Ovid MEDLINE, PubMed, Scopus, and Web of Science, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, was conducted from inception to September 2023 to identify studies on the prevalence of PD patients with OSA. A Comprehensive Meta-Analysis software version 3.0 and R software with random-effects models were used for pooled prevalence and prediction interval analysis. We assessed heterogeneity using <i>I</i> ^<i>2</i> test and Cochran's Q-statistic and study quality with Hoy's risk of bias. Moreover, meta-regression and subgroup analysis identified factors contributing to prevalence. A total of 42 studies with 3342 participants were included. The pooled prevalence of OSA among Parkinson's disease patients was 45% (95% CI: 39-52%). Based on 95% prediction interval, the future prevalence of OSA in PD was expected to vary from 13 to 83%. Moderator analyses showed that male sex, higher BMI, and country geographical area were significantly associated with OSA prevalence, in which South and North America are the top two continents that have a high prevalence of OSA. This study gives a comprehensive overview of the high prevalence of OSA and associated factors in Parkinson's disease, which can be used for planning care and future research.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41105-024-00561-w.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"101-112"},"PeriodicalIF":1.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Somfit's pulse arterial tonometry for detection of obstructive sleep apnoea.","authors":"Marcus McMahon, Jeremy Goldin, Elizabeth Susan Kealy, Darrel Joseph Wicks, Eugene Zilberg, Warwick Freeman, Behzad Aliahmad","doi":"10.1007/s41105-024-00559-4","DOIUrl":"10.1007/s41105-024-00559-4","url":null,"abstract":"<p><p>This study evaluates the diagnostic accuracy of Somfit against polysomnography (PSG) for detecting obstructive sleep apnoea (OSA). Somfit is a wearable home-sleep monitoring device attached to the forehead, combining pulse arterial tonometry, oximetry, and actigraphy with sleep staging, arousals, and total sleep time (TST) derived from frontal neurological signals. Ninety-two participants suspected of having OSA were assessed using Somfit and simultaneous overnight PSG recordings at three Australian sites. Each PSG study was manually scored by three independent scorers. The reported statistics include standard measures of agreement between Somfit's TST, Oxygen-Saturation Index (ODI), Apnoea-Hypopnea Index (AHI), and the average of those metrics from the three PSG scorers. The overall inter-scorer agreement was 76% (kappa = 0.772). TST, ODI, and AHI from Somfit were highly correlated with similar metrics from PSG (all r > 0.84, <i>p</i> < 0.001). Sensitivity, specificity, and accuracy were 90.5%, 75.0%, and 89.1% respectively, with a diagnostic odds ratio (DOR) of 28.5 for AHI ≥ 5. For AHI ≥ 15, sensitivity, specificity, and accuracy were 78.0%, 73.8%, and 76.1%, respectively, with a DOR of 9.99. For AHI ≥ 30, sensitivity, specificity, accuracy, and DOR were 72.4%, 90.5%, 84.8%, and 24.9, respectively. The area under the curve (AUC) at different PSG AHI cut-offs ranged between 0.86 and 0.93. Coupled with oximetry and EEG-based derivation of TST, Somfit's performance is comparable to PSG in detecting OSA severity.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"145-152"},"PeriodicalIF":1.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The clinical implications of the comorbidity between restless legs syndrome and migraines.","authors":"Yuichi Inoue","doi":"10.1007/s41105-024-00558-5","DOIUrl":"10.1007/s41105-024-00558-5","url":null,"abstract":"","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 1","pages":"1-2"},"PeriodicalIF":1.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717758/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maternal depression and its association with sleep problems and emotional and behavioral problems in preschool children.","authors":"Naoko Sato, Naoko Inada, Yuri Miyazaki, Hitomi Oi, Mari Inoue, Sou Kikuchi, Shun Nakajima","doi":"10.1007/s41105-024-00557-6","DOIUrl":"10.1007/s41105-024-00557-6","url":null,"abstract":"<p><p>In the first comprehensive examination of its kind, we investigated the association between maternal depression and preschoolers' sleep problems, as well as factors that influence children's sleep. A cross-sectional questionnaire survey was administered to mothers of children in nine kindergartens and nursery schools across six Japanese prefectures. The sample included 232 mother-child pairs (children's average age = 61.72 months; 51.29% boys; mothers' average age = 38.38 years). Mothers' depression and parenting behaviors were assessed using the Patient Health Questionnaire-9 and Parenting Behavior Checklist to Promote Preschoolers' Sleep, respectively. Children's sleep problems and emotional and behavioral problems were assessed using the Japanese Sleep Questionnaire for Preschoolers and the Strengths and Difficulties Questionnaire, respectively. Mothers reported on their children's duration of daytime activity and screen time. Thirty-two percent of mothers had more than minimal depressive symptoms. Path analysis revealed that children's emotional and behavioral problems, and sleep problems were associated with maternal depression (<i>β</i> = 0.24, <i>β</i> = 0.21). Furthermore, children's emotional and behavioral problems, duration of daytime activity, and parenting behaviors to promote children's sleep were associated with children's sleep problems (<i>β</i> = 0.45, <i>β</i> =  - 0.09, <i>β</i> =  - 0.45). The values of GFI (0.99), AGFI (0.95), and RMSEA (0.05) showed a good fitness of the model. The results suggest the necessity of assessing children' sleep problems and emotional and behavioral problems when considering mothers' mental health problems in the future.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"137-144"},"PeriodicalIF":1.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971086/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and determinants of sleep disturbances among pregnant women: an Indian community-based cross-sectional study.","authors":"Akashanand, Pracheth Raghuveer, Ravi Yadav, Ravi Girikematha Shankar, Deepika Sudha Reddy","doi":"10.1007/s41105-024-00556-7","DOIUrl":"10.1007/s41105-024-00556-7","url":null,"abstract":"<p><p>Our study aimed to assess the prevalence and determinants of sleep disturbances among pregnant women in Kolar District, Karnataka, India. It focused on specific disturbances, such as obstructive sleep apnea (OSA), insomnia, restless leg syndrome (RLS), excessive daytime sleepiness (EDS), and poor sleep quality across pregnancy trimesters. A cross-sectional community-based study among 251 pregnant women was conducted. Sleep disturbances using validated tools, including the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI), STOP-Bang and single-question RLS screener tool were measured. Bivariate logistic regression was followed by multivariate logistic regression identified significant predictors. Sleep disturbances were highly prevalent, with poor sleep quality being most common (39.84%), followed by OSA (13.55%), EDS-moderate and severe category (11.56%), insomnia (9.6%), and RLS (6.80%). Proportion of pregnant women who screened positive for any sleep disturbance was 49.4%. Disturbances increased as pregnancy progressed, particularly in the third trimester. Significant predictors included increased neck circumference (aOR 1.08; <i>p</i> = 0.003), high-risk pregnancy (aOR 3.37; <i>p</i> < 0.001), and pregnancy trimester. Primigravida women were less likely to experience sleep issues compared to multigravida women (aOR 0.54; <i>p</i> = 0.034). High-risk pregnancies were associated with increased odds of OSA, insomnia, and EDS. Our study highlights the significant burden of sleep disturbances among pregnant women, with poor sleep quality being the most prevalent. High-risk pregnancies, increased neck circumference, and multigravida status were key determinants. Our findings emphasize the need for targeted interventions to improve maternal sleep quality and reduce potential adverse outcomes.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41105-024-00556-7.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 2","pages":"127-136"},"PeriodicalIF":1.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between hypoxemia and quality of life in patients with heart failure with preserved ejection fraction and sleep-disordered breathing.","authors":"Hiroyuki Sawatari, Chie Magota, Toshiaki Kadokami, Ryo Nakamura, Atsumi Hayashi, Shin-Ichi Ando","doi":"10.1007/s41105-024-00554-9","DOIUrl":"10.1007/s41105-024-00554-9","url":null,"abstract":"<p><p>Sleep-disordered breathing is common among patients with heart failure with preserved ejection fraction (HFpEF), and might impact their quality of life due to nighttime hypoxemia and awakenings. However, the factors contributing to deterioration in quality of life remain unclear. This study investigated the factors associated with quality of life deterioration in patients with HFpEF and sleep-disordered breathing. This prospective cross-sectional study included inpatients with HFpEF (left ventricular ejection fraction of ≥ 50%). Sleep-disordered breathing and quality of life were evaluated using polysomnography and the Short Form-8 Health Survey, respectively. The patients were grouped based on thei median physical and mental component summary Short Form-8 Health Survey scores. Among the 31 patients with HFpEF (aged 73.7 ± 10.9 years; 67.7% women; left ventricular ejection fraction, 65.3% ± 8.1%), the median apnea-hypopnea index was 11.5 per hour. Although no differences in parameters related to sleep-disordered breathing were found among the physical component summary-stratified groups, the low mental component summary group exhibited significantly lower nadir oxygen saturation than those exhibited by the high mental component summary group (84.3 ± 5.7% vs. 88.5 ± 3.9%; p = 0.02); this difference remained significant even when adjusted for potential confounders (β = 0.43; p = 0.02). Nocturnal hypoxemia may be a contributing factor to the decline in the mental health aspect of quality of life in patients with HFpEF. Thus, clinicians should consider hypoxemia when managing HFpEF and sleep-disordered breathing.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41105-024-00554-9.</p>","PeriodicalId":21896,"journal":{"name":"Sleep and Biological Rhythms","volume":"23 1","pages":"85-93"},"PeriodicalIF":1.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11718018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}