Sleep & breathing = Schlaf & Atmung最新文献

{"title":"Comparative analysis of cardiac autonomic dysfunction between apnea-predominant and hypopnea-predominant obstructive sleep apnea: a study matched for age, sex, and apnea-hypopnea index : Short running title: cardiovascular risk of apnea vs. hypopnea in OSA.","authors":"Hyun-Soo Choi, Yoon-Jong Ryu, Jun Yeon Won, Jeong-Whun Kim, Woo Hyun Lee","doi":"10.1007/s11325-025-03475-0","DOIUrl":"https://doi.org/10.1007/s11325-025-03475-0","url":null,"abstract":"","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"311"},"PeriodicalIF":2.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cephalometric differences between patients with REM- and NREM-Predominant OSA: implications for selecting surgical candidates.","authors":"Muhang Lee, Yujin Jee, Jung-Ick Byun, Won Chul Shin, Sung Ok Hong","doi":"10.1007/s11325-025-03457-2","DOIUrl":"https://doi.org/10.1007/s11325-025-03457-2","url":null,"abstract":"<p><strong>Purpose: </strong>Obstructive sleep apnea (OSA) is a common disorder characterized by recurrent upper airway collapse, causing intermittent hypoxemia and sleep disruption. Various factors influence its occurrence and severity. This study aimed to examine the relationship between cephalometric anatomical features and polysomnographic data in patients with OSA.</p><p><strong>Methods: </strong>This retrospective cohort study included 74 patients (61 male, 13 female) aged 18-78 years(mean ± SD: 52.9 ± 12.8 years), with BMI ranging 17.6-34 kg/m²(mean ± SD: 25.6 ± 3.1 kg/m²), diagnosed with OSA, who also underwent cephalometric, and panoramic radiographs. Patients were classified into positional OSA (n = 33, 28 males, 5 females), non-positional OSA (n = 41, 33 males, 8 females), REM-related OSA (n = 22, 14 males, 8 females) and NREM-related OSA (n = 52, 47 males, 5 females) based on polysomnographic data. The primary predictor variables were OSA subtype. The primary outcome variables included PSG data and lateral and posteroanterior cephalometric measurements. Group differences between OSA subtypes and correlation coefficient between PSG and cephalometric parameters were evaluated. Logistic regression analyses were performed to identify risk factor.</p><p><strong>Results: </strong>No significant differences in cephalometric and panoramic parameters were found between patients with POSA and NPOSA. NREM OSA patients had a longer N-ANS length, greater anterior hyoid-to-mandibular plane, and longer tongue length than REM OSA patients (p < 0.05). Logistic regression revealed that narrower nasal and maxillary widths (relative to mandibular width) were significant risk factors for NPOSA (95% CI, p < 0.05). A posteriorly and inferiorly positioned hyoid bone and a longer tongue length were associated with NREM OSA.</p><p><strong>Conclusion: </strong>Anatomical factors, including nasal and maxillary width, hyoid bone position, and tongue length, are linked to OSA type. These findings may suggest that targeted treatments strategies, including MAD, MMA, genioglossus advancement, or transverse maxillary expansion, may be effective based on individual anatomical characteristics.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"308"},"PeriodicalIF":2.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of MSLT- defined sleepiness in OSA patients with neuropsycological findings.","authors":"Bengü Kaan Şaylan, Sema Saraç, Gökçe Külah, Duygu Özol","doi":"10.1007/s11325-025-03489-8","DOIUrl":"https://doi.org/10.1007/s11325-025-03489-8","url":null,"abstract":"<p><strong>Purpose: </strong>Obstructive sleep apnea (OSA) is a common breathing disease charecterized by excessive daytime sleepiness (EDS) as a main symptom. Our aim in this study was to identify the determinants of EDS detected by multiple sleep latency test (MSLT) in OSA patients and to investigate its relationship with neuropsycological functions.</p><p><strong>Methods: </strong>In this prospective study, for a3 months period all participants underwent overnight polysomnography (PSG) followed by MSLT, conducted according to American Academy of Sleep Medicine (AASM) guidelines. EDS was defined as MSLT score < 8 min, while severe EDS was considered as < 5 min. Neurocognitive function and depressive symptoms were assessed using questionaires.</p><p><strong>Results: </strong>A total of 82 patients (mean age: 50.1 ± 14 years, 34 females, 41.5%) were included. The minumum oxygen value and oxygen desaturation index (ODI) were detected as the main indicators of MSLT-linked EDS in multivariate analysis. It was determined that each increase in ODI value increased EDS by 1.03 times, while an increase in oxygen level caused a 0.89-fold decrease in EDS. According to the Mini Mental Test (MMT) and Beck Depresion Inventory (BDI) results, a total of 33 (40.2%) of the patients had mild, 7 (8.5%) had moderate neurocognitive disfunctions and 30 (38%) had depression with no relationship with MSLT-linked EDS when threshold of 8 min was used. However, in the severely sleepy group, the MMT score began to show a significant decline.</p><p><strong>Conclusion: </strong>EDS was more stroıngly associated with hypoxic burden than with Apnea hypopnea index (AHI). Although neurocognitive impairement and depression was high in OSA, this was relevant only with severely sleepy group.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"310"},"PeriodicalIF":2.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of hyperlactatemia in patients with obstructive sleep apnea receiving metformin: a cross-sectional study.","authors":"Aleksander Kania, Kamil Polok, Natalia Celejewska-Wójcik, Paweł Nastałek, Krzysztof Sładek, Grażyna Bochenek","doi":"10.1007/s11325-025-03467-0","DOIUrl":"10.1007/s11325-025-03467-0","url":null,"abstract":"<p><strong>Purpose: </strong>Type 2 diabetes is a common comorbidity in individuals with obstructive sleep apnea (OSA). Metformin, one of the most commonly applied therapy options for type 2 diabetes, is known to increase lactate production. Given that OSA may put patients at risk of hyperlactatemia, it is important to examine lactate levels in patients receiving metformin. This study aimed to identify factors affecting lactate concentrations and the consequent risk of hyperlactatemia in this population.</p><p><strong>Methods: </strong>A total of 505 patients were included in the study. All underwent a detailed and systematic clinical evaluation and attended diagnostic nocturnal polysomnography. Serum lactate levels were measured at a single time point.</p><p><strong>Results: </strong>Median lactate concentration across the cohort was 1.0 mmol/L and did not differ by OSA severity (p = 0.82). 18.8% of patients used metformin and exhibited higher lactate concentrations compared to those not receiving the medication (p < 0.001). Elevated lactate levels (> 0.8 mmol/L) were detected in 64.8% of patients. Patients with increased lactate levels were more often active smokers. Multivariable analysis revealed that hyperlactatemia was associated with metformin use (p < 0.001) and active smoking (p = 0.014).</p><p><strong>Conclusion: </strong>Our findings indicate that metformin use in patients with OSA and type 2 diabetes appears to be safe for lactate metabolism, regardless of OSA severity. However, the risk of hyperlactatemia increases in actively smoking patients treated with metformin, which calls for targeted interventions to encourage smoking cessation in this population.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"309"},"PeriodicalIF":2.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12504322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative effects of MAD and CPAP on heart rate in obstructive sleep apnea.","authors":"Pasquale Tondo, Mauro Lorusso, Fariba Esperouz, Giuseppina Giannini, Giuseppe Burlon, Matteo Pio Natale, Roberto Sabato, Giulia Scioscia, Monteleone Leonardo, Giulio Trono, Michele Tepedino, Lucio Lo Russo, Donato Lacedonia, Domenico Ciavarella","doi":"10.1007/s11325-025-03494-x","DOIUrl":"10.1007/s11325-025-03494-x","url":null,"abstract":"<p><strong>Purpose: </strong>This observational study aimed to compare the effectiveness of mandibular advancement devices (MAD) and continuous positive airway pressure (CPAP) therapy in patients diagnosed with obstructive sleep apnea (OSA), with a specific focus on changes in heart rate parameters.</p><p><strong>Methods: </strong>Fifty-two patients treated with MAD were compared with fifty-two patients treated with CPAP. All participants underwent sleep study prior to the initiation of therapy (T0), followed by a control sleep study after a (3-month) predefined treatment period (T1). Changes in cardiac parameters between baseline (T0) and post-treatment (T1) were analyzed both within each group (MAD and CPAP) and between groups. To enhance comparability between patients treated with MAD and those treated with CPAP, a propensity score matching approach was applied based on pre-treatment variables, in order to minimize selection bias and optimize the validity of the between-group comparison.</p><p><strong>Results: </strong>For intragroup comparisons, both the MAD and C-PAP groups demonstrated statistically significant reductions in AHI and ODI following treatment (p < 0.001). Additionally, a modest but significant decrease in mean heart rate was noted in both groups (MAD: p = 0.033; CPAP: p = 0.002). For intergroup comparisons, both treatment modalities resulted in a significant reduction in AHI and ODI values. Regarding heart rate parameters, no statistically significant differences were observed between the two groups after treatment for mean HR (p = 0.350), minimum HR (p = 0.602), or maximum HR (p = 0.942).</p><p><strong>Conclusion: </strong>The use of MAD and CPAP leads to significant improvements in heart rate in patients with OSA. However, no significant differences were found between the two treatment modalities in terms of heart rate reduction.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"307"},"PeriodicalIF":2.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12500814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical predictors of underlying severe obstructive sleep apnea in patients undergoing gastrointestinal endoscopy under conscious sedation.","authors":"Kosuke Kashiwabara, Fujiho Tanaka, Takenori Yamanouchi, Motoki Yoshida, Toshiaki Yoshida, Masayuki Ando","doi":"10.1007/s11325-025-03477-y","DOIUrl":"https://doi.org/10.1007/s11325-025-03477-y","url":null,"abstract":"<p><strong>Background: </strong>Of patients suspected as having obstructive sleep apnea (OSA) while undergoing routine gastrointestinal endoscopy under conscious sedation (GE-CS), 43% have severe disease but have never consulted specialist clinics because of the absence of significant symptoms/signs. If patients with possible severe OSA can be predicted during GE-CS, they could be advised to consult sleep specialist clinics.</p><p><strong>Materials and methods: </strong>We retrospectively analyzed data of 112 patients who were suspected as having OSA during GE-CS and underwent sleep apnea testing at our hospital, to evaluate whether patient characteristics, endoscopic detection of upper airway obstruction (UAO), and vital signs during routine GE-CS can predict the possibility of severe underlying OSA.</p><p><strong>Results: </strong>The mean age of the patients was 55 years, 74% were men, and 64% had obesity. Severe OSA was diagnosed in 13% of patients with mild UAO (< 50% luminal stenosis), 18% of patients with moderate UAO (50%-75% stenosis), and 45% of patients with severe UAO (> 75% stenosis). The UAO severity was positively correlated with the apnea hypopnea index score (r = 0.305, p = 0.001) and negatively correlated with the minimum SpO₂ during GE-CS (r = 0.285, p = 0.023). Logistic regression analysis identified male gender (HR 4.19, p = 0.0267), severe UAO (HR 3.69, p = 0.009), and minimum SpO₂ < 90% during GE-CS (HR 3.82, p = 0.008) as an independent predictors of severe OSA.</p><p><strong>Conclusion: </strong>Not only the presence of UAO, but also minimum SpO₂ < 90% during GE-CS was identified as an independent predictor of severe OSA.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"306"},"PeriodicalIF":2.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of nasal passage and palatal volume in obstructive sleep apnea patients and healthy individuals using cone beam computed tomography.","authors":"Şerife Tuğçe Hasoğlan, Seçil Aksoy, Ulaş Öz, Finn Rasmussen, Beste Kamiloğlu, Kaan Orhan","doi":"10.1007/s11325-025-03496-9","DOIUrl":"https://doi.org/10.1007/s11325-025-03496-9","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate and compare palatal volume (PV), nasal passage volume (NPV), and dental arch dimensions between individuals diagnosed with obstructive sleep apnea (OSA) and healthy controls.</p><p><strong>Methods: </strong>A total of 90 OSA patients and 90 healthy controls were included. The OSA group was categorized into four subgroups based on apnea-hypopnea index (AHI) and body mass index (BMI). PV, NPV, and dental arch width measurements were obtained from cone-beam computed tomography (CBCT) scans. All measurements were performed using Mimics Medical software.</p><p><strong>Results: </strong>The OSA group exhibited significantly reduced NPV and narrower intercanine and intermolar widths compared with the control group (p < 0.05). However, no significant difference in PV was observed between groups. In regression analyses, only NPV showed a significant association with AHI. NPV was considerably higher in controls compared with mild, moderate, and severe OSA subgroups, while no difference was observed between controls and the simple snoring subgroup. PV was significantly higher in the simple snoring subgroup compared with other OSA subgroups. No significant differences were identified across BMI categories.</p><p><strong>Conclusion: </strong>This study demonstrates that reductions in NPV are strongly associated with OSA, supporting its value as a key volumetric marker independent of BMI and highlighting its potential clinical utility in screening, risk assessment, and treatment planning. By contrast, PV changes seem to reflect secondary remodeling processes rather than primary etiological factors. Overall, the findings underscore the multifactorial nature of OSA, in which anatomical variations, airway function, and skeletal adaptations collectively contribute to disease severity.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"305"},"PeriodicalIF":2.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of evening exercise on anthropometric indices, metabolic profiles, and sleep health: a systematic review and meta-analysis.","authors":"Patavee Pajareya, Noppachai Siranart, Nithi Tokavanich, Ponthakorn Keawkanha, Walit Sowalertrat, Setthawut Joensahakij, Tanattida Kassels, Narut Prasitlumkum, Leenhapong Navaravong, Wisit Cheungpasitporn, Ronpichai Chokesuwattanaskul","doi":"10.1007/s11325-025-03459-0","DOIUrl":"https://doi.org/10.1007/s11325-025-03459-0","url":null,"abstract":"<p><strong>Background: </strong>Evening exercise may elevate arousal levels and enhance insulin sensitivity, potentially influencing sleep hygiene and metabolic profiles. To gain a clearer understanding of these effects, we conducted a meta-analysis to compare the impact of morning versus evening exercise on anthropometric indices, metabolic markers, and sleep health.</p><p><strong>Methods: </strong>A systematic search of the MEDLINE, EMBASE, and Cochrane databases was conducted from inception through March 2023. Exercise is defined as physical activity performed at a minimum of moderate intensity. For the outcomes of interest, mean differences (MD) and 95% confidence interval (CI) were calculated using a random-effects model.</p><p><strong>Results: </strong>A total of 716 participants were included across 14 studies, comprising both randomized controlled trials and observational studies. Of these, 11 studies reported anthropometric indices, 8 reported metabolic profiles, and 5 evaluated sleep parameters. No significant associations were observed between exercise timing and the health outcomes assessed. Specifically, there were no notable differences in body weight (MD:-0.12 kg [95% CI -0.99 to 0.76, I²= 99%]) or body mass index (MD: -0.07 kg/m² [95% CI -0.58 to 0.44, I² = 99%]) between morning and evening exercise sessions. Sleep latency was also unaffected by exercise timing (MD: -2.24 minutes [95% CI-10.22 to 5.74, I² = 99%]). Additionally, metabolic biomarkers, including low-density lipoprotein (MD: 0.11 mmol/L [95% CI -0.37 to 0.58, I²= 100%]), and high-density lipoprotein (MD: 0.09 mmol/L [95% CI -0.05 to 0.22, I² = 99%]), showed no significant differences based on exercise timing.</p><p><strong>Conclusion: </strong>This meta-analysis found no significant association between the timing of exercise and health outcomes, including anthropometric measurements, metabolic markers, and sleep parameters. While the findings are hypothesis-generating, they suggest that the timing of exercise may not substantially influence patient health outcomes and should be considered flexibly in clinical recommendations.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"304"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145202887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrocardiogram heart rate variability for machine learning diagnosis of obstructive sleep Apnoea: A bayesian meta-analysis.","authors":"Yunrui Hao, Nicole Kye Wen Tan, Esther Yanxin Gao, Joy Xin Yi Au, Novelle En Xian Toh, Cai Ling Yong, Yao Hao Teo, Adele Chin Wei Ng, Zhou Hao Leong, Chu Qin Phua, Thun How Ong, Leong Chai Leow, Guang-Bin Huang, Benjamin Kye Jyn Tan, Song Tar Toh","doi":"10.1007/s11325-025-03476-z","DOIUrl":"https://doi.org/10.1007/s11325-025-03476-z","url":null,"abstract":"<p><strong>Purpose: </strong>Obstructive sleep apnoea syndrome (OSA) is a common yet underdiagnosed condition associated with significant health risks. Although polysomnography is the diagnostic gold standard, it is resource-intensive and unsuitable for widespread screening. Heart rate variability (HRV) derived from electrocardiogram (ECG) recordings has emerged as a promising, accessible alternative for OSA detection. Recent developments in machine learning have enabled automated HRV analysis, potentially offering a scalable screening tool for OSA. This study aimed to evaluate the diagnostic accuracy of machine learning-based models trained on HRV for detecting OSA in adults.</p><p><strong>Methods: </strong>We searched PubMed, Embase, Scopus, Web of Science, and IEEE Xplore (up to 20 October 2024) for eligible studies that assessed the accuracy of OSA diagnosis using AI models trained on HRV, compared to the apnoea-hypopnea index (AHI). Bayesian bivariate random-effects meta-analysis estimated pooled sensitivity and specificity. Risk of bias was assessed using QUADAS-2, and GRADE was used to rate evidence certainty.</p><p><strong>Results: </strong>Nine studies with 2,019 participants met inclusion criteria. Pooled sensitivity was 79.0% (95% CrI: 74.9%-82.7%) and specificity was 75.0% (95% CrI: 67.9%-82.3%). The diagnostic odds ratio was 11.3 (95% CrI: 7.21-19.0%). Meta-regression showed specificity varied with demographic factors, while model architecture and validation methods had no significant impact. No publication bias was detected.</p><p><strong>Conclusions: </strong>Machine learning models trained on HRV show good diagnostic accuracy for OSA, with higher specificity than STOP-BANG and comparable performance to home sleep tests. Their scalability and potential integration into wearable devices offer a practical, cost-effective screening option. Further real-world validation is warranted.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"303"},"PeriodicalIF":2.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145202899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep architecture and quality of life in comorbid OSA and depression: cross-sectional analysis of the Sydney sleep biobank.","authors":"Daryl E C Y Chan, Yu Sun Bin, Philip de Chazal, Peter A Cistulli, Andrew S L Chan, John R Wheatley, Kristina Karaitis, Brendon J Yee","doi":"10.1007/s11325-025-03485-y","DOIUrl":"10.1007/s11325-025-03485-y","url":null,"abstract":"<p><strong>Introduction: </strong>Obstructive sleep apnoea (OSA) and depression are individually associated with changes in sleep architecture and reduced quality of life. However, there are few studies which report on the joint impact of comorbid OSA and depression.</p><p><strong>Methods: </strong>821 participants from the Sydney Sleep Biobank database were assessed (38% female; age 49.5, SD 15.6 years). Participants were patients who were referred for and underwent an overnight sleep study on suspicion of sleep disordered breathing. Participants were divided into 4 groups based on the apnoea-hypopnoea index and depression score from the Depression Anxiety Stress Scale-21; (1) no OSA-no depression, (2) OSA-only, (3) depression-only, (4) comorbid OSA and depression (OSAD). Sleep architecture and quality of life (Epworth Sleepiness Scale, ESS and Functional Outcomes of Sleep, FOSQ-10) scores were compared between groups. Confounders considered included age, gender, body mass index, alcohol, and psychiatric medications.</p><p><strong>Results: </strong>Patients with OSAD and depression-only had higher ESS scores (8.4 vs 8.9 vs 6.9, p=0.003) and lower FOSQ-10 scores (13.9 vs 12.8 vs 16.7, p<0.001) than those with OSA-only. However, after control for confounders and excluding patients on psychiatric medications, OSAD was not associated with any significant changes in sleep architecture compared to those with OSA-only.</p><p><strong>Discussion/conclusions: </strong>Despite the lack of changes in sleep architecture, it is still important toidentify comorbid OSA and depression as it can be associated with worsequality of life and this may affect treatment compliance.</p>","PeriodicalId":520777,"journal":{"name":"Sleep & breathing = Schlaf & Atmung","volume":"29 5","pages":"302"},"PeriodicalIF":2.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484361/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145202908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}