Nature and Science of Sleep最新文献

{"title":"Lifestyle and Job-Related Factors Associated with Sleep Quality: Gender-Specific Insights from Taiwanese Hospital Physicians.","authors":"Wen-Hsuan Hou, Tzu-Chin Hsu, Fu-Li Chen, Jeng-Cheng Wu","doi":"10.2147/NSS.S503570","DOIUrl":"https://doi.org/10.2147/NSS.S503570","url":null,"abstract":"<p><strong>Background: </strong>Poor sleep in physicians is a major concern, affecting their physical and psychological well-being and increasing the risk of medical errors. In this cross-sectional study, we explored gender-specific differences in factors associated with sleep quality in physicians.</p><p><strong>Participants and methods: </strong>Self-report questionnaires were distributed to 401 hospital physicians in Taiwan. Statistical analyses-Student's <i>t</i> test, Pearson's correlation test, and multivariate linear regression-were conducted to identify factors associated with sleep quality. Subgroup analyses were also conducted to analyze gender-specific differences in sleep quality and its related factors.</p><p><strong>Results: </strong>Of a total of 189 physicians, approximately 40% reported poor sleep quality, with no significant gender-specific differences. Multivariate analysis revealed that unhealthy dietary habits (β = 0.39, <i>p</i> = 0.02) and a lack of regular exercise (β = -0.52, <i>p</i> = 0.04) were significantly associated with poor sleep quality in the female physicians. By contrast, higher job demands were significantly associated with poorer sleep quality in the male physicians (β = 0.16, <i>p</i> = 0.03).</p><p><strong>Conclusion: </strong>In physicians, sleep quality is influenced by gender-specific factors. To enhance sleep quality, male physicians should focus on reducing their workload, and female physicians should prioritize improving their dietary and exercise habits. To achieve these goals, we recommend implementing gender-sensitive strategies involving flexible scheduling and workload management to reduce job demands for male physicians. We also recommend providing on-site healthy meal options and establishing exercise facilities to promote healthier lifestyle habits for female physicians. In addition, we recommend developing sleep hygiene education and mentorship programs to support work-life balance and aid stress management tailored to gender-specific needs. These strategies could help enhance the sleep quality of physicians, potentially improving their well-being and patient care quality.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"437-446"},"PeriodicalIF":3.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143649755","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":"CPAP Titration Pressure in Split-Night, Full-Night, and Home Auto-Titration: A Prospective Comparative Analysis of Patients With Moderate to Severe Obstructive Sleep Apnea.","authors":"Song I Park, Woori Choi, ChangHee Lee, Hyo Yeol Kim, Yong Gi Jung","doi":"10.2147/NSS.S487341","DOIUrl":"10.2147/NSS.S487341","url":null,"abstract":"<p><strong>Purpose: </strong>This prospective study aimed to compare titration pressures obtained using three methods-full-night titration (FN-T), split-night titration (SN-T), and home auto-titration (HA-T)- in patients with moderate to severe obstructive sleep apnea (OSA). Additionally, factors contributing to pressure differences relative to FN-T were investigated.</p><p><strong>Methods: </strong>SN-T was performed on 74 patients suspected of having OSA. Those diagnosed with moderate to severe OSA who completed SN-T underwent HA-T for 2-3 weeks. FN-T was then performed on patients who adhered to HA-T for at least 70% of prescribed nights. Ultimately, 29 patients met the inclusion criteria. Titration pressures from SN-T (SN-TP), HA-T (mean pressure [HA-TPm] and 90th percentile pressure [HA-TP90]), and FN-T (FN-TP) were compared using the Wilcoxon signed-rank test. Patients were classified into pressure disparity and non-disparity groups based on differences between FN-TP and the other methods. Logistic regression analyses were performed to identify factors associated with pressure differences. Baseline characteristics in subgroup analyses were compared using independent <i>t</i>-tests or Mann-Whitney tests for continuous variables and Fisher's exact tests for categorical variables.</p><p><strong>Results: </strong>The titration pressures for SN-TP, FN-TP, HA-TP90, and HA-TPm were 8, 9, 9.6, and 8.1 cm H₂O, respectively. All pressures correlated significantly with FN-TP (p < 0.05). HA-TP90 was significantly higher than FN-TP (p < 0.05), while FN-TP was higher than SN-TP (p < 0.05), with similar trends observed at the individual level. Nasal septal deviation (odds ratio 16.63, p = 0.018) and high apnea-hypopnea index (odds ratio 1.06, p = 0.027) were identified as predictors of pressure differences.</p><p><strong>Conclusion: </strong>This study is the first to directly compare multiple titration pressures to standard FN-TP in the same patients. SN-T and HA-T are reliable alternatives to FN-T in moderate to severe OSA, though predictors of significant pressure variance require careful consideration.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"401-412"},"PeriodicalIF":3.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11899899/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143616287","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":"Artificial Intelligence Screening Tool for Obstructive Sleep Apnoea: A Study Based on Outpatients at a Sleep Medical Centre.","authors":"Jian Tan, Wei Chen, Dan Yu, Tiantian Peng, Cheng Li, Kai Lv","doi":"10.2147/NSS.S503124","DOIUrl":"10.2147/NSS.S503124","url":null,"abstract":"<p><strong>Purpose: </strong>Due to the lack of clear screening guidelines for different populations, identify strategies for obstructive sleep apnea (OSA) in the outpatient population are unclear, a large number of potential OSA outpatients have not been identified in time. The purpose of our study was to evaluate the applicability and accuracy of artificial intelligence sleep screening in outpatients and to provide a reference for OSA screening in different populations.</p><p><strong>Methods: </strong>A type IV wearable artificial intelligence sleep monitoring (AISM) device was used to screen adults in the sleep clinic of the Sleep Medical Center for OSA screening, and the general demographic data of the patients were collected. The epidemiological characteristics obtained by AISM screening were analysed. The accuracy of the AISM for the diagnosis of OSA was evaluated and compared with that of polysomnography (PSG).</p><p><strong>Results: </strong>A total of 1492 participants completed all the studies. The data included 1448 cases total, including 1096 male patients and 352 female patients, with 620 of the total patients being overweight (42.82%) and 429 being obese patients (29.63%). The prevalence of males was 78.19%, and that of females was 55.97% (χ2 = 95.72, P < 0.001). In males, the risk of moderate to severe OSA was 74.21% in obese people, while in females, the risk was 50%. Age, body mass index (BMI) and the oxygen desaturation index (ODI) were positively correlated and negatively correlated with the lowest and mean oxygen saturation. A total of 100 participants completed both PSG and AISM monitoring, and the accuracies of the AISM in diagnosing mild and moderate-to-severe OSA were 94% and 98%, respectively.</p><p><strong>Conclusion: </strong>The AISM exhibits good accuracy, and the use of an objective and convenient sleep detection device to screen a large sample population of outpatients is feasible. The prevalence of OSA in adults in sleep clinics is high, and age, sex, and BMI are risk factors for OSA.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"425-434"},"PeriodicalIF":3.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11899894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143616286","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":"Genetic Overlap Between Obstructive Sleep Apnea and Ischemic Stroke: A Large-Scale Genome-Wide Cross-Trait Analysis.","authors":"Wanqing Lin, Zhiyi Zhang, Chenlin Wang, Yingling Ye, Lingrong Zheng, Qianqian Hu, Renyu Yu, Mingxia Wu, Bin Chen","doi":"10.2147/NSS.S495422","DOIUrl":"10.2147/NSS.S495422","url":null,"abstract":"<p><strong>Background: </strong>To further understand the complex relationship between Obstructive Sleep Apnea (OSA) and ischemic stroke, this study explores the role of genetic factors in the comorbidity of these two conditions.</p><p><strong>Methods: </strong>Based on large-scale available Genome-Wide Association Studies (GWAS) for OSA and ischemic stroke, we conducted a multi-level cross-trait analysis. First, we utilized Linkage Disequilibrium Score Regression (LDSC) to analyze the genetic correlation between the two diseases. Subsequently, we performed cross-trait analysis to identify pleiotropic Single Nucleotide Polymorphisms (SNPs) associated with both OSA and ischemic stroke. On this basis, we applied annotation and Multi-marker Analysis of GenoMic Annotation (MAGMA) analysis to examine results at the gene level. Finally, we conducted Transcriptome-Wide Association Studies (TWAS) to analyze gene expressions significantly related to both traits.</p><p><strong>Results: </strong>The LDSC analysis revealed a significant positive genetic correlation between OSA and ischemic stroke. Cross-trait analysis identified a total of 90 pleiotropic SNPs, with rs78581380 being the most significant. Combining Functional Mapping and Annotation (FUMA) annotation and MAGMA analysis, we identified 83 genes in total. TWAS analysis discovered 23 gene expressions that were significantly associated with both OSA and ischemic stroke traits.</p><p><strong>Conclusion: </strong>This study elucidates the shared genetic architecture between OSA and ischemic stroke, emphasizing the crucial role of genetic factors in the comorbidity of these two conditions.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"413-424"},"PeriodicalIF":3.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143615023","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 Role of Circulating Fatty Acids in Mediating the Effect of Insomnia on Heart Failure: A Two-Step, Two-Sample Mendelian Randomization Study.","authors":"Bo Zuo, Binhe Yu, Pengwei Wang, Chong Zhang, Chenhao Zhao, Yujing Sun, Sizhi Ai","doi":"10.2147/NSS.S471466","DOIUrl":"10.2147/NSS.S471466","url":null,"abstract":"<p><strong>Purpose: </strong>Previous studies support the causal effect of insomnia on heart failure. Fatty acid metabolism plays key roles in the occurrence and development of heart failure. It is unclear whether fatty acids play roles in the causal association between insomnia and heart failure. This study aims to investigate the mediating role of fatty acids in the association between insomnia and heart failure.</p><p><strong>Methods: </strong>We performed two-step, two-sample Mendelian randomization analysis by applying SNPs as genetic instruments for exposures, mediators and outcomes. Summary data obtained from genome-wide association studies for insomnia, proposed fatty acid mediators and heart failure were used in this study. The overall effect of insomnia on heart failure includes direct and indirect effects.</p><p><strong>Results: </strong>Genetically predicted insomnia has a significant causal effect on circulating total fatty acids, saturated fatty acids, monounsaturated fatty acids and omega-3 fatty acids. In addition, different circulating fatty acids have no causal effect on insomnia incidence. A significant positive correlation between genetic predicted insomnia and heart failure (OR = 1.10, 95% CI: 1.06-1.14, <i>P</i><0.001) was observed. Finally, we found that circulating fatty acids play a mediating role in the causal association between insomnia and heart failure. Total fatty acids, saturated fatty acids and monounsaturated fatty acids explained 3% (95% CI: 0%-7.5%), 3% (95% CI: -1.1%-7.5%), 4% (95% CI: 0%- 9.7%) of the overall effect of insomnia on heart failure, respectively.</p><p><strong>Conclusion: </strong>These results support circulating fatty acids as potential mediators in the causal association between insomnia and heart failure.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"391-399"},"PeriodicalIF":3.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586321","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":"Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia.","authors":"Chuan Shi, Yuxin Wang, Jinmei Luo, Rong Huang, Yi Xiao","doi":"10.2147/NSS.S494804","DOIUrl":"10.2147/NSS.S494804","url":null,"abstract":"<p><strong>Purpose: </strong>Co-morbid insomnia and sleep apnea are common in clinical practice. The existing OSA screening tools have not been fully validated in insomnia populations, and items measuring daytime function may be interfered with the presence of insomnia. This study aims to validate the performance of four commonly used OSA screening tools among individuals with and without insomnia.</p><p><strong>Participants and methods: </strong>A cross-sectional survey was conducted in individuals with suspected OSA referred for sleep studies from December 2021 to December 2023. All participants completed the Insomnia Severity Index (ISI) scale, STOP-Bang, Epworth Sleepiness Scale (ESS), Berlin questionnaire, and NoSAS score. Clinical insomnia was defined as an ISI of 15 or more. Performance of screening tools was primarily assessed by sensitivity, specificity, and the receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>A total of 1266 participants (26% females, age 46.4 ± 12.4 years) were included in the study. The prevalence of apnea-hypopnea index (AHI) ≥15/h was 48% and 52% in the insomnia (n=313) and non-insomnia (n=953) group, respectively (<i>P</i>>0.05). In presence of insomnia, the STOP-Bang, ESS, and Berlin questionnaire demonstrated higher sensitivity but lower specificity. Using conventional cutoffs, the STOP-Bang had the highest level of sensitivity (93.2%, 95% CI 87.6-96.5%), while NoSAS had the highest level of specificity (67.7%, 95% CI 59.9-74.6%) for identifying AHI ≥15/h. The STOP-Bang and NoSAS outperformed ESS and Berlin with areas under the ROC curve >0.7 at all levels of OSA severity. The Youden's index was maximized at score 4 for STOP-Bang and score 7 for NoSAS.</p><p><strong>Conclusion: </strong>The performance of OSA screening tools incorporating evaluation of daytime function is altered in the presence of insomnia. Under conventional cutoffs, STOP-Bang is the preferred screening tool due to its high sensitivity.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"379-390"},"PeriodicalIF":3.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11887493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586319","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":"Sleep Duration, Sleep Habits, and Social Jetlag From 4 to 6 years Their Impacts on Myopia Among School-Aged Children: The Ma'anshan Birth Cohort Study.","authors":"Meng Wang, Juan Tong, Dongqing Zhu, Kun Huang, Xiaoyan Wu, Guopeng Gao, Liu Jiang, Shuangqin Yan, Fangbiao Tao, Shuman Tao","doi":"10.2147/NSS.S500191","DOIUrl":"10.2147/NSS.S500191","url":null,"abstract":"<p><strong>Purpose: </strong>To examine the associations of sleep parameters and their trajectories at preschool age with myopia among school-aged children by using a birth cohort study design.</p><p><strong>Patients and methods: </strong>All participants were recruited from the Ma'anshan Birth Cohort Study. Sleep duration, sleep habits, and social jetlag were collected in 4 years, 5.5 years, and 6 years. Cycloplegic refraction and ocular biometry were performed at 7 years. Key statistical analyses were performed using the latent class growth models, binary logistic regression, generalized linear models, and linear mixed models, respectively.</p><p><strong>Results: </strong>A total of 1561 children were included in the study (mean age of 7.93 years, 52.6% boys). Social jetlag of at least 1 hour at age 4 was positively linked to an increased risk of myopia in school-age children and axial length (AL) but negatively correlated with spherical equivalent refraction (SER) (<i>P</i><0.05). Inadequate sleep duration at 5.5 years was associated with an increase in AL among school-age children (<i>β</i>=0.16; 95% CI: 0.07-0.24). A pattern of increasing-declining social jetlag was positively correlated with AL/CR ratio (<i>RR</i>=1.55; 95%CI: 1.01-2.37). Poor sleep habits, higher social jetlag at age 4, and the declining-increasing trajectory of social jetlag were negatively associated with SER in school-aged children (<i>P</i><0.05). Furthermore, the declining-increasing and increasing-declining trajectories of social jetlag were positively correlated with the elongation of AL.</p><p><strong>Conclusion: </strong>The correlations between sleep parameters at preschool age and myopia in school-aged children reveal that maintaining regular sleep habits in preschool may contribute to the early prevention of myopia.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"365-378"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11883176/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143573204","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":"Management of CPAP Follow-up by Telemonitoring in Obstructive Sleep Apnea: The PROTEUS Project.","authors":"Riccardo Drigo, Andrea Ballarin, Francesco Menzella, Micaela Romagnoli, Mauro Salasnich, Luigi Marino, Paolo Lucernoni, Maddalena Chizzolini, Pasquale Tondo","doi":"10.2147/NSS.S501341","DOIUrl":"10.2147/NSS.S501341","url":null,"abstract":"<p><strong>Purpose: </strong>CPAP is the standard treatment for obstructive sleep apnea (OSA), but as many as 50% of patients discontinue its use, within three years. The PROTEUS project aims to enhance CPAP adherence through telemonitoring.</p><p><strong>Patients and methods: </strong>OSA patients undergoing CPAP treatment since July 2018, had an in-person reassessment after three months, followed by quarterly telemonitoring by providers, who intervened in cases of poor adherence (less than 4 h·night^-1 or less than 70% of days), excessive mask leakage, or elevated residual apnea-hypopnea index (rAHI_CPAP).</p><p><strong>Results: </strong>A total of 486 (~87%) out of 558 patients analyzed remained adherent to CPAP after five years. The average rAHI_CPAP was 3.95 ± 5.25 events·h^-1, the average CPAP usage was 6.35 ± 1.72 hours. Elevated mask leakage occurred in 25% of patients. No significant differences were found between sexes.</p><p><strong>Conclusion: </strong>The PROTEUS project showed promising results in supporting long-term CPAP adherence. However, further research is needed to validate its long-term impact and wider applicability in OSA management.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"357-363"},"PeriodicalIF":3.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11874751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541277","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":"Triangular Causality Among Pulmonary Hypertension, Sleep Disorders, and Brain Structure at the Genetic Level: A Mendelian Randomization Study Focused on the Lung-Brain Axis.","authors":"Chenwei Zhang, Xuesen Su, Yukai Zhang, Peiyun He, Xiaomei Kong, Zhenxia Zhang, Yangyang Wei, Yiwei Shi","doi":"10.2147/NSS.S495071","DOIUrl":"10.2147/NSS.S495071","url":null,"abstract":"<p><strong>Background: </strong>The bidirectional relationship between pulmonary hypertension (PH) and sleep disorders has attracted significant research attention. The concept of the lung-brain axis has further highlighted the need for a holistic approach to managing these diseases.</p><p><strong>Methods: </strong>This study used bidirectional two-sample Mendelian Randomization (MR) to explore the genetic-level causal relationships between PH, sleep disorders, and structural brain changes. GWAS data for PH were pooled from four cohorts; data on four sleep disorder subtypes were sourced from the FinnGen database; and data on 15 structural brain changes were obtained from the ENIGMA Consortium. To ensure reliability, we applied strict data selection, multiple corrections, heterogeneity assessments, and sensitivity tests. Visualizations included forest plots, scatter plots, funnel plots, and leave-one-out plots.</p><p><strong>Results: </strong>MR analysis revealed a significant causal relationship between PH and both obstructive sleep apnea (OSA) (OR = 1.022, 95% CI = 1.006-1.039, P = 0.006, PBonferroni = 0.025) and general sleep disorders (OR = 1.018, 95% CI = 1.003-1.033, P = 0.018, PFDR = 0.036), with no evidence of reverse causation and multivariable MR analyses also demonstrated significant results. PH was linked to changes in total brain volume (P = 0.032) and cerebral white matter (P = 0.035). Amygdala changes appeared to reduce the risk of sleep disorders (P = 0.008) and OSA (P = 0.014). Sensitivity analyses showed no heterogeneity, pleiotropy, or significant outliers.</p><p><strong>Conclusion: </strong>This study identifies significant causal links between PH, sleep disorders, and structural brain changes, establishing a triangular cyclic relationship that supports the lung-brain axis concept. These findings inform clinical management of PH and its comorbidities.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"343-356"},"PeriodicalIF":3.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502410","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":"A Comparative Investigation on Clinical Characteristics in Pediatric Obstructive Sleep Apnea Based on Two Distinct Guidelines.","authors":"Tingting Ji, Ting Long, Xiaodan Li, Zhifei Xu, Jing Zhao, Guixiang Wang, Hua Wang, Hongbin Li, Fengzhen Zhang, Li Zheng, Shengcai Wang, Xin Ni","doi":"10.2147/NSS.S484935","DOIUrl":"10.2147/NSS.S484935","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the differences in assessment of clinical characteristics between children with obstructive sleep apnea (OSA) diagnosed according to the 2007 and 2020 guidelines and those without OSA, together with the relationships between polysomnography (PSG) parameters and cognitive tests scores in preschool and school-aged children with OSA.</p><p><strong>Methods: </strong>Eighty children were totally recruited and divided into OSA and non-OSA groups based on two distinct guidelines, with further subclassification into preschool and school-aged subgroups. Differences in PSG parameters and cognitive tests scores between groups and subgroups were analyzed and compared, followed by partial correlation analysis to determine the correlations between these characteristics.</p><p><strong>Results: </strong>Compared to the 2007 guideline, the 2020 guideline demonstrated more significant between-group differences in clinical characteristics assessments, especially verbal intelligent quotient (VIQ). For preschool children in the OSA and non-OSA subgroups, there were significant differences in PSG parameters and Block Diagram between the two guidelines. Additionally, the 2007 guideline showed difference in Picture Vocabulary, where the 2020 guideline exhibited differences in performance IQ (PIQ) and Geometric Figure For school-aged children in the OSA and non-OSA subgroups, both guidelines showed significant differences in PSG parameters, full-scale IQ (FIQ) and Block Diagram. The 2007 guideline had significant differences in PIQ, while the 2020 guideline had difference in VIQ. Furthermore, significant correlations were observed between PSG parameters and cognitive tests scores across different subgroups.</p><p><strong>Conclusion: </strong>The 2020 guideline has advantages in assessing the clinical characteristics of children with OSA, especially for verbal function, and is worthy of clinical promotion and application.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"329-341"},"PeriodicalIF":3.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483694","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}