Journal of Clinical Sleep Medicine最新文献

{"title":"The effects of exercise training as a treatment component of obstructive sleep apnea in diverse patient groups: current understanding and focus areas.","authors":"Monique Otto","doi":"10.5664/jcsm.11366","DOIUrl":"https://doi.org/10.5664/jcsm.11366","url":null,"abstract":"","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient-centered care in the era of technological revolutions and permacrisis.","authors":"Sairam Parthasarathy","doi":"10.5664/jcsm.11354","DOIUrl":"https://doi.org/10.5664/jcsm.11354","url":null,"abstract":"","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep macro-architecture in patients with Parkinson's disease does not change during the first night of neurostimulation in a pilot study.","authors":"Rig Das, Stephen V Gliske, Leslie C West, Michael O Summers, Siqun Tang, Lisa Hirt, Dulce Maroni, Casey H Halpern, John A Thompson, Clete A Kushida, Aviva Abosch","doi":"10.5664/jcsm.11180","DOIUrl":"10.5664/jcsm.11180","url":null,"abstract":"<p><strong>Study objectives: </strong>A growing body of literature suggests that deep brain stimulation to treat motor symptoms of Parkinson's disease may also ameliorate certain sleep deficits. Many foundational studies have examined the impact of stimulation on sleep following several months of therapy, leaving an open question regarding the time course for improvement. It is unknown whether sleep improvement will immediately follow onset of therapy or accrete over a prolonged period of stimulation. The objective of our study was to address this knowledge gap by assessing the impact of deep brain stimulation on sleep macro-architecture during the first nights of stimulation.</p><p><strong>Methods: </strong>Polysomnograms were recorded for 3 consecutive nights in 14 patients with advanced Parkinson's disease (10 male, 4 female; age: 53-74 years), with intermittent, unilateral subthalamic nucleus deep brain stimulation on the final night or 2. Sleep scoring was determined manually by a consensus of 4 experts. Sleep macro-architecture was objectively quantified using the percentage, latency, and mean bout length of wake after sleep onset and on each stage of sleep (rapid eye movement and non-rapid eye movement stages 1, 2, 3).</p><p><strong>Results: </strong>Sleep was found to be highly disrupted in all nights. Sleep architecture on nights without stimulation was consistent with prior results in treatment naive patients with Parkinson's disease. No statistically significant difference was observed due to stimulation.</p><p><strong>Conclusions: </strong>These objective measures suggest that 1 night of intermittent subthreshold stimulation appears insufficient to impact sleep macro-architecture.</p><p><strong>Clinical trial registration: </strong>Registry: ClinicalTrials.gov; Name: Adaptive Neurostimulation to Restore Sleep in Parkinson's Disease; URL: https://clinicaltrials.gov/ct2/show/NCT04620551; Identifier: NCT04620551.</p><p><strong>Citation: </strong>Das R, Gliske SV, West LC, et al. Sleep macro-architecture in patients with Parkinson's disease does not change during the first night of neurostimulation in a pilot study. <i>J Clin Sleep Med</i>. 2024;20(9):1489-1496.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140871572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the impact of automatic positive airway pressure therapy on cardiovascular risk index and vascular behavior in patients with obstructive sleep apnea: a study on heterogeneity in the therapeutic response.","authors":"Wenjun Zhu, Lin Xiang, Linna Cao, Yaping Tian, Wenjun Li, Lirong He","doi":"10.5664/jcsm.11162","DOIUrl":"10.5664/jcsm.11162","url":null,"abstract":"<p><strong>Study objectives: </strong>This study investigated the impact of automatic positive airway pressure (APAP) therapy on vascular behavior and its potential to lower cardiovascular risk in patients with obstructive sleep apnea (OSA), as well as differentiating APAP therapy heterogeneity.</p><p><strong>Methods: </strong>All participants were diagnosed with OSA by portable monitoring, and pulse wave parameters and cardiac risk composite parameter index were obtained by photoplethysmography before and after APAP. Clustering analysis of pulse wave parameters before APAP in the high-risk population was performed using k-means clustering. Linear regression was used to assess the associations of changes in cardiac risk composite parameter index and pulse wave parameters with clinical characteristics.</p><p><strong>Results: </strong>Eighty-two patients with OSA underwent APAP therapy. The cardiac risk composite parameter index after APAP was significantly lower than before APAP (0.38 ± 0.33 and 0.58 ± 0.31, respectively; <i>P</i> < .001). All pulse wave parameters (except irregular pulse) were significantly different (<i>P</i> < .001) in patients with OSA and in the high-risk responders group after vs before APAP. The differences in pulse wave parameters after vs before APAP were not significant in the high-risk nonresponders group, except for the difference between the pulse rate acceleration index and the oxygen saturation index and pulse rate variability. Four clusters were obtained from the clustering analysis of pulse wave parameters before APAP in the high-risk responders group.</p><p><strong>Conclusions: </strong>APAP reduces the cardiac risk composite parameter index in patients with OSA by altering vascular behavior. Overnight photoplethysmography monitoring of pulse wave parameters can be used to assess whether patients with OSA will benefit from APAP.</p><p><strong>Citation: </strong>Zhu W, Xiang L, Cao L, Tian Y, Li W, He L. Evaluating the impact of automatic positive airway pressure therapy on cardiovascular risk index and vascular behavior in patients with obstructive sleep apnea: a study on heterogeneity in the therapeutic response. <i>J Clin Sleep Med</i>. 2024;20(9):1435-1444.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140872341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obstructive sleep apnea severity, circulating biomarkers, and cancer risk.","authors":"A J Hirsch Allen, Tetyana Kendzerska, Parveen Bhatti, Rachel Jen, Renelle Myers, Mohammadreza Hajipour, Stephan F van Eeden, Najib Ayas","doi":"10.5664/jcsm.11170","DOIUrl":"10.5664/jcsm.11170","url":null,"abstract":"<p><strong>Study objectives: </strong>To determine whether obstructive sleep apnea (OSA) severity and/or biomarkers of inflammation/angiogenesis are associated with incident cancer in this clinical cohort.</p><p><strong>Methods: </strong>Consenting adult patients at the University of British Columbia Hospital between 2003 and 2014 completed a questionnaire about their medical history and sleep habits prior to undergoing a polysomnogram. Blood samples were collected the morning after polysomnography and processed for biomarkers of inflammation and angiogenesis. The clinical, polysomnography, and biomarker data were linked to the British Columbia Cancer Registry to ascertain incident cancer diagnoses. Cox proportional hazard regression was used to assess the association between OSA severity and biomarker concentrations with cancer risk.</p><p><strong>Results: </strong>A total of 1,990 patients were included in the analysis with a mean follow-up time of 12.8 years; 181 of them (9.1%) developed cancer after polysomnography. OSA severity was significantly associated with cancer risk after controlling for relevant covariates (hazard ratio = 1.08 per 10 events/h apnea-hypopnea index increase, confidence interval = 1.02-1.15, <i>P</i> = .015). In an exploratory analysis, 2 biomarkers were significantly associated with an increased cancer risk after controlling for relevant covariates (hazard ratio per interquartile range pg/mL increase of endostatin = 1.45, confidence interval = 1.12-1.87, <i>P</i> = .01 and hazard ratio for interquartile range pg/mL increase of vascular cell adhesion molecule-1 = 1.48, confidence interval = 1.04-2.11, <i>P</i> = .03, respectively).</p><p><strong>Conclusions: </strong>OSA severity was an independent risk factor for cancer. Furthermore, 2 circulating markers were significantly associated with cancer risk. If these preliminary findings can be reproduced in other cohorts, biomarkers could potentially be used to prognosticate patients with OSA with respect to cancer risk.</p><p><strong>Citation: </strong>Hirsch Allen AJ, Kendzerska T, Bhatti P, et al. Obstructive sleep apnea severity, circulating biomarkers, and cancer risk. <i>J Clin Sleep Med</i>. 2024;20(9):1415-1422.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140874976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the severity of obstructive sleep apnea increase the risk of cancer? Clues in apnea-hypopnea index and biomarkers.","authors":"Ram Kishun Verma, Vinita Prasad, Harpreet Grewal","doi":"10.5664/jcsm.11270","DOIUrl":"10.5664/jcsm.11270","url":null,"abstract":"","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 a commercial smart watch compared to polysomnography reference for overnight continuous oximetry measurement and sleep apnea evaluation.","authors":"Sara H Browne, Florin Vaida, Anya Umlauf, Jeffrey Kim, Pamela DeYoung, Robert L Owens","doi":"10.5664/jcsm.11178","DOIUrl":"10.5664/jcsm.11178","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study objectives: &lt;/strong&gt;We evaluated the accuracy and precision of continuous overnight oxygen saturation (SpO&lt;sub&gt;2&lt;/sub&gt;) measurement by a commercial wrist device (WD) incorporating high-grade sensors and investigated WD estimation of sleep-disordered breathing by quantifying overnight oxygen desaturation index compared to polysomnography (PSG) oxygen desaturation index and apnea-hypopnea index (AHI) with and without sleep questionnaire data to assess the WD's ability to detect obstructive sleep apnea and determine its severity.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Participants completed sleep questionnaires, had a WD (Samsung Galaxy Watch 4) placed on their wrist, and underwent attended, in-laboratory overnight PSG (Nihon Kohden) with a pulse oximetry probe secured either to a finger or an ear lobe. PSG data were scored by a single experienced registered PSG technologist. Statistical analysis included demographic characteristics, continuous SpO&lt;sub&gt;2&lt;/sub&gt; measurement WD vs PSG root-mean-square error with Bland-Altman plot and linear regression associations. Predictive models for PSG oxygen desaturation index and AHI severity were built using logistic regression with probability cutoffs determined via receiver operating curve characteristics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The 51 participants analyzed had a median age of 49 (range, 22-78) years; 66.7% were male, with median body mass index of 28.1 (range, 20.1-47.3) kg/m&lt;sup&gt;2&lt;/sup&gt; with a race/ethnicity distribution of 49.0% Caucasian, 25.5% Hispanic, 9.8% African American, 9.8% Asian, and 5.9% Middle Eastern. WD vs PSG continuous SpO&lt;sub&gt;2&lt;/sub&gt; measurement in percentage points demonstrated a bias of 0.91 (95% confidence interval, 0.38, 1.45), standard deviation of 2.37 (95% confidence interval, 2.36, 2.38), and root-mean-square error of 2.54 (95% confidence interval, 2.34, 2.73). WD area under the curve receiver operating curve characteristics for predicting PSG were 0.882 oxygen desaturation index &gt; 15 events/h, 0.894 AHI &gt; 30 events/h, 0.800 AHI &gt; 15 events/h, and 0.803 AHI &gt; 5 events/h. WD plus select sleep questionnaire areas under the curve for predicting PSG were 0.943 AHI &gt; 30 events/h, 0.868 AHI &gt; 15 events/h, and 0.863 AHI &gt; 5 events/h.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The WD conducted reliable overnight continuous SpO&lt;sub&gt;2&lt;/sub&gt; monitoring with root-mean-square error &lt; 3% vs PSG. Predictive models of PSG AHI based on WD measurements alone, or plus sleep questionnaires, demonstrated excellent to outstanding discrimination for obstructive sleep apnea identification and severity. Longitudinal WD use should be evaluated promptly based on the WD's potential to improve accessibility and accuracy of obstructive sleep apnea testing, as well as support treatment follow-up.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Citation: &lt;/strong&gt;Browne SH, Vaida F, Umlauf A, Kim J, DeYoung P, Owens RL. Performance of a commercial smart watch compared to polysomnography reference for overnight continuous oximetry mea","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140873483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"REM sleep behavior disorder in Brunner syndrome.","authors":"Eduard Cesari, Amaia Muñoz-Lopetegi, Joan Santamaria, Alex Iranzo, Carles Gaig","doi":"10.5664/jcsm.11230","DOIUrl":"10.5664/jcsm.11230","url":null,"abstract":"<p><p>Brunner syndrome is a recessive X-linked disorder characterized by intellectual disability and impulsive aggressiveness associated with monoamine oxidase A (MAOA) deficiency leading to increased monoaminergic activity. We report the presence of rapid eye movement (REM) sleep behavior disorder in a 46-year-old patient with Brunner syndrome due to a c.1438A > G/iVS14-2 A > G mutation of the <i>MAOA</i> gene. He has mild intellectual disability and psychotic disturbances. He presented a 15-year history of nightmares (chase, attacks, and fights), sleep-related vocalizations, and motor behaviors characterized by talking, screaming, crying, gesturing, punching, and kicking. Video polysomnography showed REM sleep behavior disorder characterized by excessive tonic and phasic muscle activity in the mentalis and limb muscles with dream-enacting behaviors during REM sleep. Clonazepam achieved a significant reduction of REM sleep behavior disorder symptomatology. We conclude that REM sleep behavior disorder can be a manifestation of Brunner syndrome, probably due to an increased monoaminergic neurotransmission occurring in this rare genetic disorder.</p><p><strong>Citation: </strong>Cesari E, Muñoz-Lopetegi A, Santamaria J, Iranzo A, Gaig C. REM sleep behavior disorder in Brunner syndrome. <i>J Clin Sleep Med.</i> 2024;20(9):1557-1560.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141332338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changed sleep according to weighted blanket adherence in a 16-week sleep intervention among children with attention-deficit/hyperactivity disorder.","authors":"Maria Lönn, Petra Svedberg, Jens Nygren, Håkan Jarbin, Katarina Aili, Ingrid Larsson","doi":"10.5664/jcsm.11186","DOIUrl":"10.5664/jcsm.11186","url":null,"abstract":"<p><strong>Study objectives: </strong>To examine differences in sample characteristics and longitudinal sleep outcomes according to weighted blanket (WB) adherence.</p><p><strong>Methods: </strong>Children with attention-deficit/hyperactivity disorder (n = 94), mean age 9.0 (standard deviation 2.2, range 6-14) participated in a 16-week sleep intervention with WBs. Children were classified as WB adherent (use of WB ≥ 4 nights/wk) or nonadherent (use of WB ≤ 3 nights/wk). Changes in objectively measured sleep by actigraphy, parent-reported sleep problems (Children's Sleep Habits Questionnaire) and child-reported Insomnia Severity Index were evaluated according to adherence with mixed effect models. Sex, age, and attention-deficit/hyperactivity disorder subtype were examined as potential moderators.</p><p><strong>Results: </strong>Children adherent to WBs (48/94) showed an early response in sleep outcomes and an acceptance of the WB after 4 weeks of use as well as a decrease in parent-reported (Children's Sleep Habits Questionnaire) (-5.73, <i>P</i> = .000) and child-reported (Insomnia Severity Index) (-4.29, <i>P</i> = .005) sleep problems after 16 weeks. The improvement in sleep was larger among WB adherent vs nonadherent (between-group difference: Children's Sleep Habits Questionnaire: -2.09, <i>P</i> = .038; Insomnia Severity Index: -2.58, <i>P</i> = .007). Total sleep time was stable for children adherent to WB but decreased for nonadherent (between-group difference: +16.90, <i>P</i> = .019).</p><p><strong>Conclusions: </strong>An early response in sleep and acceptance of the WB predicted later adherence to WBs. Improvements in sleep were more likely among WB adherents vs nonadherents. Children with attention-deficit/hyperactivity disorder may thus benefit from using WBs to handle their sleep problems.</p><p><strong>Citation: </strong>Lönn M, Svedberg P, Nygren J, Jarbin H, Aili K, Larsson I. Changed sleep according to weighted blanket adherence in a 16-week sleep intervention among children with attention-deficit/hyperactivity disorder. <i>J Clin Sleep Med</i>. 2024;20(9):1455-1466.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140858839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic profiles predict clinical severity in patients with obstructive sleep apnea-hypopnea syndrome.","authors":"Xiaoyi Wang, Jinming Zhao, Xiangdong Wang, Luo Zhang","doi":"10.5664/jcsm.11160","DOIUrl":"10.5664/jcsm.11160","url":null,"abstract":"<p><strong>Study objectives: </strong>Obstructive sleep apnea-hypopnea syndrome (OSAHS) poses a significant health hazard, intermittent hypoxia inflicts damage throughout the body and is considered a critical risk factor for metabolic disorders. The aim of this study was to establish a metabolic profile for patients with OSAHS using nontargeted metabolomics detection techniques, providing a basis for OSAHS diagnosis and novel biological marker identification.</p><p><strong>Methods: </strong>45 patients with OSAHS composed the OSAHS group, and 44 healthy volunteers composed the control group. Nontargeted metabolomics technology was used to analyze participants' urinary metabolites. Differentially abundant metabolites were screened and correlated through hierarchical clustering analysis. We constructed a composite metabolite diagnostic model using a random forest model. Simultaneously, we analyzed the relationships between 20 metabolites involved in model construction and OSAHS severity.</p><p><strong>Results: </strong>The urinary metabolomics pattern of the OSAHS group exhibited significant changes, demonstrating noticeable differences in metabolic products. Urinary metabolite analysis revealed differences between the mild-to-moderate OSAHS and severe OSAHS groups. The composite metabolite model constructed in this study demonstrated excellent diagnostic performance not only in distinguishing healthy control participants from patients with mild-to-moderate OSAHS (area under the curve = 0.78) and patients with severe OSAHS (area under the curve = 0.78), but also in discriminating between patients with mild-to-moderate and severe OSAHS (area under the curve = 0.71).</p><p><strong>Conclusions: </strong>This study comprehensively analyzed the urinary metabolomic characteristics of patients with OSAHS. The established composite metabolite model provides robust support for OSAHS diagnosis and severity assessment. Twenty metabolites associated with OSAHS disease severity offer a new perspective for diagnosis.</p><p><strong>Citation: </strong>Wang X, Zhao J, Wang X, Zhang L. Metabolomic profiles predict clinical severity in patients with obstructive sleep apnea-hypopnea syndrome. <i>J Clin Sleep Med.</i> 2024;20(9):1445-1453.</p>","PeriodicalId":50233,"journal":{"name":"Journal of Clinical Sleep Medicine","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140871571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}