Obstructive Sleep Apnea and Its Cardiac Implications in the United States: An Age-Stratified Analysis Between Young and Older Adults.

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep disorder associated with cardiovascular risks. This study aimed to assess the prevalence of probable OSA and its relationship with cardiovascular risks and diseases focusing on age-stratified young adults (20-40 years) and older (>40 years). METHODS AND RESULTS: The study used a cross-sectional design, analyzing data from the National Health and Nutrition Examination Survey conducted between 2013 and 2018, comprising 9887 community-dwelling adults aged ≥20 years. Probable OSA was determined on the basis of self-report of OSA-related symptoms (eg, snoring, gasping/breath cessation while sleeping). Cardiovascular risk factors, including hypertension, diabetes, hyperlipidemia, and metabolic syndrome, were evaluated according to established guidelines. Cardiovascular diseases (CVDs) included self-reported heart conditions, including congestive heart failure, coronary heart disease, angina, heart attacks, and strokes. Individuals with probable OSA showed a significantly higher prevalence of health conditions, including hypertension (adjusted prevalence ratio [aPR], 1.19; P<0.001), diabetes (aPR, 1.17; P: 0.01), metabolic syndrome (aPR, 1.14; P<0.001), heart attack (aPR, 1.63; P<0.01), stroke (aPR, 1.41; P: 0.03), and any CVD event (aPR, 1.36; P: 0.01) after adjusting for relevant factors. Young adults with probable OSA showed higher prevalence rates of any CVD events (aPR, 3.44; P<0.001), hypertension (aPR, 1.45; P<0.001), metabolic syndrome (aPR, 1.25; P<0.001), and angina (aPR, 10.39; P<0.001). CONCLUSIONS: The study suggests early identification and management of OSA in individuals at risk for CVD. While cross-sectional, it emphasizes that health care providers should recognize OSA as significantly associated with CVDs and its precursor risks in young adults, stressing proactive care and screening to reduce CVD risk in this population.

Management of sleep-disordered breathing in patients with syndromic hemifacial macrosomia.

PURPOSE: Patients with syndromic hemifacial microsomia (SHFM) are at risk of obstructive sleep apnea (OSA). The aim of the study was to describe the prevalence of OSA and its management, especially in patients with Goldenhar syndrome (GS). METHODS: The respiratory polygraphies and clinical management of 15 patients, aged 2 to 23 years, evaluated at a national reference center, were analyzed. RESULTS: Four (27%) patients had no OSA, 4 (27%) had mild OSA, and 7 (46%), of whom 5 were ≤ 2 years old, had severe OSA. None of the patients had central apneas. Only one patient had alveolar hypoventilation, and another one had nocturnal hypoxemia. Two patients had severe OSA despite prior adenoidectomy or mandibular distraction osteogenesis. Median duration of follow-up was 3.5 years (range 0.5-9 years). None of the patients without OSA or with mild OSA at baseline respiratory polygraphy developed OSA during the follow up. Among the 7 patients with severe OSA, 3 required continuous positive airway pressure or noninvasive ventilation, and one patient required a tracheostomy. CONCLUSION: In conclusion, patients with SHFM are at high risk of severe OSA at any age, underlining the importance of systematic sleep studies to diagnose and evaluate the severity of OSA. Individualized treatment should be privileged, based on a careful examination of the entire upper airway, taking in account potential associated risk factors. All patients with SHFM should be managed by a pediatric expert multidisciplinary medical/surgical team until the end of post pubertal growth.

A robust deep learning system for screening of obstructive sleep apnea using T-F spectrum of ECG signals.

Obstructive sleep apnea (OSA) is a non-communicable sleep-related medical condition marked by repeated disruptions in breathing during sleep. It may induce various cardiovascular and neurocognitive complications. Electrocardiography (ECG) is a useful method for detecting numerous health-related disorders. ECG signals provide a less complex and non-invasive solution for the screening of OSA. Automated and accurate detection of OSA may enhance diagnostic performance and reduce the clinician's workload. Traditional machine learning methods typically involve several labor-intensive manual procedures, including signal decomposition, feature evaluation, selection, and categorization. This article presents the time-frequency (T-F) spectrum classification of de-noised ECG data for the automatic screening of OSA patients using deep convolutional neural networks (DCNNs). At first, a filter-fusion algorithm is used to eliminate the artifacts from the raw ECG data. Stock-well transform (S-T) is employed to change filtered time-domain ECG into T-F spectrums. To discriminate between apnea and normal ECG signals, the obtained T-F spectrums are categorized using benchmark Alex-Net and Squeeze-Net, along with a less complex DCNN. The superiority of the presented system is measured by computing the sensitivity, specificity, accuracy, negative predicted value, precision, F1-score, and Fowlkes-Mallows index. The results of comparing all three utilized DCNNs reveal that the proposed DCNN requires fewer learning parameters and provides higher accuracy. An average accuracy of 95.31% is yielded using the proposed system. The presented deep learning system is lightweight and faster than Alex-Net and Squeeze-Net as it utilizes fewer learnable parameters, making it simple and reliable.

Obstructive Sleep Apnea Treatment and the Evaluation of Clinical Effectiveness of Uniquely Designed Oral Appliance Therapy Device.

BACKGROUND:  Continuous positive airway pressure (CPAP) has been considered first-line therapy for patients with obstructive sleep apnea (OSA); however, adherence to the therapy is suboptimal. Oral appliance therapy (OAT) is an alternative to CPAP that may lend to better patient adherence, quality of life, and overall patients' effectiveness of therapy. METHODS: This was a prospective, single-site, non-randomized study to evaluate the clinical effectiveness of a uniquely designed OAT device with an embedded adherence tracking chip in the treatment of mild and moderate OSA patients over three months. The effectiveness of OAT therapy was defined as the numerical product of efficacy and adherence. The efficacy of the device was defined as the change from baseline in the apnea-hypopnea index (AHI). Adherence was based on usage for a minimum of 4 hours/night of use, for at least five out of seven nights a week. RESULTS: 45 participants fitted with the OAT device completed at least one follow-up visit and had recordable objective data. Average patient wearing time was 7 hours/night and a reduction of the AHI from 16.4 events/hour to 5.7 events/hour after three months of use. Mean disease alleviation (MDA), which serves as a measure of the overall therapeutic effectiveness, was 62% when looking at 4 hours/night of usage. As the comfort of the device is related to wearing time, subjective data indicated the optimum first-time fit of the device. CONCLUSION: The study OAT device was well tolerated throughout the study. When both efficacy and adherence are considered, OAT can be a clinically effective tool to treat OSA.

Microstructural Changes in the Cerebral White Matter After 12 Months of CPAP Treatment for Moderate to Severe Obstructive Sleep Apnoea: A TBSS Study.

Introduction: Continuous positive airway pressure (CPAP) therapy improves clinical symptoms in patients with obstructive sleep apnea (OSA); however, the mechanism of this clinical improvement and how it may be associated with the restoration of white matter (WM) structures in the brain is unclear. Therefore, this study investigated the relationship between the structural recovery of brain WM and improvements in cognitive function and emotion after long-term (12 months) CPAP treatment in patients with OSA. Methods: We collected data from 17 patients with OSA before and 12 months after CPAP treatment, including sleep monitoring, clinical assessment, and diffusion tensor imaging (DTI) magnetic resonance imaging. Results: We observed a partial reversible recovery of brain WM (mean and radial diffusion coefficients) after treatment. This recovery involved the commissural fibers (cingulum, body of corpus callosum), projection fibers (retrolenticular part of the internal capsule, posterior thalamic radiation, posterior limb of the internal capsule, superior corona radiata, posterior corona radiata), association fibers (external capsule, superior longitudinal fasciculus, inferior longitudinal fasciculus), and other regions. In addition, the improvements in WM fibers in one part of the brain significantly were correlated with the Hamilton Anxiety Scale and Hamilton Depression Scale scores. Discussion: Our results suggest that reversible recovery of reduced brain WM integrity due to OSA may require longer CPAP treatment. Moreover, changes in the integrity of the commissural fibers were associated with emotion regulation. These restored WM areas may explain the cognitive and mood improvements observed after OSA treatment.

The role of serum C-Fos and glial fibriller acidic protein levels in detecting the severity of obstructive sleep apnea.

PURPOSE: Hypoxia and sleep fragmentations that develop during sleep cause central nervous system damage in patients with obstructive sleep apnea (OSA). This study investigates the relationship between OSA severity and glial fibrillary acidic protein (GFAP) and c-Fos, which are considered indicators of neuronal damage. METHODS: The study included 84 participants (70 patients with OSA and 14 healthy individuals). All participants were evaluated with the Epworth Sleepiness Scale (ESS) before polysomnography (PSG), and serum GFAP and c-Fos values were measured after PSG. All participants were grouped according to the apnea-hypopnea index (AHI) score (control: AHI < 5, Mild OSA: 5 ≤ AHI < 15; moderate OSA: 15 ≤ AHI < 30; severe OSA: AHI ≥ 30). RESULTS: The average age of the participants was 48.5 ± 11.4 years. According to AHI scoring, 14 healthy individuals (16.7%) were in the control group, and 70 patients (83.3%) were in OSA groups. The serum GFAP levels and c-Fos levels were increased in the OSA groups (7.1 ± 5.7 ng/mL and 7.9 ± 7.5 pg/mL respectively) compared to the control group (1.3 ± 0.4 ng/mL and 2.7 ± 1.4 pg/mL p < 0.001 and p < 0.01, respectively). There was a significant positive correlation between AHI and oxygen desaturation index (ODI) values, which indicate disease severity, and serum c-Fos (r: 0.381 and r:0.931, p < 0.01, respectively) and GFAP (r: 0.793 and r:0.745, p < 0.01, respectively) values. CONCLUSION: Serum GFAP and c-Fos values, which are considered indicators of neuronal damage, can be used as a serum marker to determine disease severity in OSA.

Factors influencing hospital charges for tonsillectomy to treat obstructive sleep apnea in children.

PURPOSE: This study investigates the impact of patient characteristics and demographics on hospital charges for tonsillectomy as a treatment for pediatric obstructive sleep apnea (OSA). The aim is to identify potential disparities in hospital charges and contribute to efforts for equitable access to care. METHODS: Data from the 2016 Healthcare Cost and Utilization Project (HCUP) Kid Inpatient Database (KID) was analyzed. The sample included 3,304 pediatric patients undergoing tonsillectomy ± adenoidectomy for OSA. Variables such as age, race, length of stay, hospital region, residential location, payer information, and median household income were collected. The primary outcome variable was hospital charge. Statistical analyses, including t-tests, ANOVA, and multiple linear regression, were conducted. RESULTS: Among 3,304 pediatric patients undergoing tonsillectomy for OSA. The average total charges for tonsillectomy were $26,400, with a mean length of stay of 1.70 days. Significant differences in charges were observed based on patient race, hospital region, and payer information. No significant differences were found based on gender, discharge quarter, residential location, or median household income. Multiple linear regression showed race, hospital region, and residential location were significant predictors of total hospital charges. CONCLUSION: This study highlights the influence of patient demographics and regional factors on hospital charges for pediatric tonsillectomy in OSA cases. These findings underscore the importance of addressing potential disparities in healthcare access and resource allocation to ensure equitable care for children with OSA. Efforts should be made to promote fair and affordable treatment for all pediatric OSA patients, regardless of their demographic backgrounds.

Comparison of high flow nasal cannula therapy to nasal oxygen as a treatment for obstructive sleep apnea in infants.

INTRODUCTION: Obstructive sleep apnea (OSA) in infants is treated with low flow oxygen via nasal cannula (NC), CPAP (continous positive airway pressure), or surgery. Literature supports the use of high flow NC (HFNC) in children in the outpatient setting, however there is limited data on the use of HFNC in infants. OBJECTIVE: The purpose of this study was to compare HFNC and low-flow oxygen as treatments for OSA in infants. METHODS: A prospective pilot study was performed at two institutions. Infants with primarily OSA underwent a 3-4 h sleep study with HFNC titration at 6-14 lpm for OSA, followed by clinical polysomnography (PSG) for oxygen titration (1/8-1 lpm). Infants with primarily central apnea were excluded. RESULTS: Nine infants were enrolled, with a mean age of 1.3 ± 1.7 months. Average apnea hypopnea index (AHI), average obstructive apnea hypopnea index (OAHI) and average central apnea index during the diagnostic PSG was 17.2 ± 7/h, 13.4 ± 5.4/h and 3.7 ± 4.8/h respectively. OSA improved in 44.4% of subjects with HFNC; the mean AHI and OAHI decreased from 15.6 ± 5.65/h and 12.8 ± 4.4/h on diagnostic PSG to 5.12 ± 2.5/h and 4.25 ± 2.5/h on titration PSG. OSA improved universally with low flow oxygen; the mean AHI decreased from 17.2 ± 7/h on diagnostic PSG to 4.44 ± 3.6/h on titration PSG. CONCLUSION: HFNC reduced OSA in some infants, though low flow oxygen reduced OSA in all subjects. Respiratory instability (high loop gain) in infants may explain why infants responded to low flow oxygen. More studies are needed to determine if HFNC is beneficial in selected groups of infants with OSA.

Cytosolic Escape of Mitochondrial DNA Triggers cGAS-STING Pathway-Dependent Neuronal PANoptosis in Response to Intermittent Hypoxia.

Intermittent hypoxia (IH) is the predominant pathophysiological disturbance in obstructive sleep apnea (OSA), characterized by neuronal cell death and neurocognitive impairment. We focus on the accumulated mitochondrial DNA (mtDNA) in the cytosol, which acts as a damage-associated molecular pattern (DAMP) and activates the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway, a known trigger for immune responses and neuronal death in degenerative diseases. However, the specific role and mechanism of the mtDNA-cGAS-STING axis in IH-induced neural damage remain largely unexplored. Here, we investigated the involvement of PANoptosis, a novel type of programmed cell death linked to cytosolic mtDNA accumulation and the cGAS-STING pathway activation, in neuronal cell death induced by IH. Our study found that PANoptosis occurred in primary cultures of hippocampal neurons and HT22 cell lines exposed to IH. In addition, we discovered that during IH, mtDNA released into the cytoplasm via the mitochondrial permeability transition pore (mPTP) activates the cGAS-STING pathway, exacerbating PANoptosis-associated neuronal death. Pharmacologically inhibiting mPTP opening or depleting mtDNA significantly reduced cGAS-STING pathway activation and PANoptosis in HT22 cells under IH. Moreover, our findings indicated that the cGAS-STING pathway primarily promotes PANoptosis by modulating endoplasmic reticulum (ER) stress. Inhibiting or silencing the cGAS-STING pathway substantially reduced ER stress-mediated neuronal death and PANoptosis, while lentivirus-mediated STING overexpression exacerbated these effects. In summary, our study elucidates that cytosolic escape of mtDNA triggers cGAS-STING pathway-dependent neuronal PANoptosis in response to IH, mainly through regulating ER stress. The discovery of the novel mechanism provides theoretical support for the prevention and treatment of neuronal damage and cognitive impairment in patients with OSA.

Abnormal dynamic functional connectivity and topological properties of cerebellar network in male obstructive sleep apnea.

PURPOSE: To investigate dynamic functional connectivity (dFC) within the cerebellar-whole brain network and dynamic topological properties of the cerebellar network in obstructive sleep apnea (OSA) patients. METHODS: Sixty male patients and 60 male healthy controls were included. The sliding window method examined the fluctuations in cerebellum-whole brain dFC and connection strength in OSA. Furthermore, graph theory metrics evaluated the dynamic topological properties of the cerebellar network. Additionally, hidden Markov modeling validated the robustness of the dFC. The correlations between the abovementioned measures and clinical assessments were assessed. RESULTS: Two dynamic network states were characterized. State 2 exhibited a heightened frequency, longer fractional occupancy, and greater mean dwell time in OSA. The cerebellar networks and cerebrocerebellar dFC alterations were mainly located in the default mode network, frontoparietal network, somatomotor network, right cerebellar CrusI/II, and other networks. Global properties indicated aberrant cerebellar topology in OSA. Dynamic properties were correlated with clinical indicators primarily on emotion, cognition, and sleep. CONCLUSION: Abnormal dFC in male OSA may indicate an imbalance between the integration and segregation of brain networks, concurrent with global topological alterations. Abnormal default mode network interactions with high-order and low-level cognitive networks, disrupting their coordination, may impair the regulation of cognitive, emotional, and sleep functions in OSA.

Fibromyalgia in obstructive sleep apnea-hypopnea syndrome: a systematic review and meta-analysis.

Introduction: Fibromyalgia (FM) is a common condition in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS). This meta-analysis aimed to evaluate differences in sleep monitoring indicators between patients with OSAHS and positive FM and patients with OSAHS and negative FM and to determine the incidence of FM in patients with OSAHS. Methods: An exhaustive literature review was conducted to analyze the incidence of FM in patients with OSAHS, using online databases, including PubMed, EMBASE, Web of Science, CNKI, and Wanfang, both in English and Chinese. The quality of the included studies was assessed by two researchers using the Newcastle-Ottawa Scale scores. The acquired data were analyzed using Stata 11.0 software. Continuous variables were combined and analyzed using the weighted mean difference as the effect size. Conjoint analyses were performed using random-effects (I2 > 50%) or fixed-effect (I2 ≤ 50%) models based on I2 values. Results: Fourteen studies met the inclusion criteria. This study showed that 21% of patients with OSAHS experienced FM. Subgroup analyses were performed based on race, age, sex, body mass index, and diagnostic criteria for patients with OSAHS. These findings indicate that obese patients with OSAHS have a higher risk of FM, similar to females with OSAHS. Regarding most sleep monitoring indicators, there were no discernible differences between patients with OSAHS with positive FM and those with negative FM. However, patients with positive FM had marginally lower minimum arterial oxygen saturation levels than those with negative FM. The current literature suggests that patients with OSAHS have a high incidence of FM (21%), and FM has little effect on polysomnographic indicators of OSAHS. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024510786, identifier CRD42024510786.

Measurement of thoraco-abdominal synchrony using respiratory inductance plethysmography: technical aspects and a proposal to overcome its limitations.

BACKGROUND: Thoraco-abdominal asynchrony (TAA) is usually assessed by respiratory inductance plethysmography. The main parameter used for its assessment is the calculation of the phase angle based on Lissajous plots. However, there are some mathematical limitations to its use. RESEARCH DESIGN AND METHODS: Sequences of five breaths were selected from a) normal subjects, b) COPD patients, both at rest and during exercise, and c) patients with obstructive apnea syndrome. Automated analysis was performed calculating phase angle, loop rotation (clockwise or counterclockwise), global phase delay and loop area. TAA severity was estimated quantitatively and in subgroups. RESULTS: 2290 cycles were analyzed (55% clockwise rotation). Phase angle ranged from -86.90 to + 88.4 degrees, while global phase delay ranged from -179.75 to + 178.54. Despite a good correlation with global phase delay (p < 0.01, ANOVA test), phase angle and loop area were not able to correctly classify breaths with severe deviation and paradoxical movements (p=ns, Bonferroni post hoc test). CONCLUSIONS: Global phase delay covers the whole spectrum of TAA situations in a single value. It may be a relevant parameter for diagnosis and follow-up of clinical conditions leading to TAA. CLINICAL TRIAL REGISTRATION: The trial from which the traces were obtained was registered at ClinicalTrials.gov ;(identifier: NCT04597606).

An unusual presentation of severe obstructive sleep apnea with nocturnal seizure-like movements: A case report.

Key Clinical Message: This study suggests that severe obstructive sleep apnea can present as sleep-related epileptic or non-epileptic seizures. A detailed history and physical examination, along with polysomnography and video electroencephalography findings can lead to the correct diagnosis. Abstract: Obstructive sleep apnea (OSA) is defined by recurrent episodes of the upper airway complete or partial collapse while sleeping. The obstructive episodes result in gradual suffocation that increases breathing attempts till the person is awakened. The main manifestations are excessive daytime sleepiness, snoring, observed episodes of stopped breathing, and abrupt awakenings accompanied by gasping or choking. Nevertheless, there are very few reports of patients with OSA, manifesting other symptoms such as seizure-like movements. Differentiating OSA with nocturnal seizures could be challenging due to their overlapping features. A 53-year-old man presented to the clinic, experiencing seizure-like involuntary movements during nocturnal sleep for the past 2 years with a frequency of 2-3 times per night. Neurologic examinations were normal. Further evaluation with polysomnography revealed impaired arousal followed by seizure-like movements during sleep. Video electroencephalography (EEG) did not show any epileptiform discharges, ruling out the nocturnal seizure diagnosis. The patient was diagnosed with OSA. Subsequently, continuous positive airway pressure (CPAP) treatment resolved all symptoms.

The Association of High Arousal Threshold with Hypertension and Diabetes in Obstructive Sleep Apnea.

Objective: Compared to low arousal threshold (AT), high AT is an easily overlooked characteristic for obstructive sleep apnea (OSA) severity estimation. This study aims to evaluate the relationship between high AT, hypertension and diabetes in OSA, compared to those with apnea-hypopnea index (AHI). Methods: A total of 3400 adults diagnosed with OSA were retrospectively recruited. Propensity score matching (PSM) was conducted to further categorize these patients into the low and high AT groups based on the strategy established by previous literature. The different degrees of AHI and quantified AT (AT score) were subsequently measured. The correlation of AT and AHI with the occurrence of various comorbidities in OSA was estimated by logistic regression analysis with odds ratio (OR). Results: After PSM, 938 pairs of patients arose. The median AT score of high and low AT group was 21.7 and 12.2 scores, and the adjusted OR of high AT for hypertension and diabetes was 1.31 (95% CI = 1.07-1.62, P < 0.01) and 1.45 (95% CI = 1.01-2.08, P < 0.05), respectively. Compared to low AT score group, the OR significantly increased in patients with very high AT score (30 ≤ AT score), especially for diabetes (OR = 1.79, 95% CI = 1.02-3.13, P < 0.05). The significant association was not observed in AHI with increasing prevalent diabetes. Conclusion: Higher AT is significantly associated with increased prevalence of hypertension and diabetes in patients with OSA. Compared with AHI, AT score is a potentially comprehensive indicator for better evaluating the relationship between OSA and related comorbidities.

Machine learning-Based model for prediction of Narcolepsy Type 1 in Patients with Obstructive Sleep Apnea with Excessive Daytime Sleepiness.

Background: Excessive daytime sleepiness (EDS) forms a prevalent symptom of obstructive sleep apnea (OSA) and narcolepsy type 1 (NT1), while the latter might always be overlooked. Machine learning (ML) models can enable the early detection of these conditions, which has never been applied for diagnosis of NT1. Objective: The study aimed to develop ML prediction models to help non-sleep specialist clinicians identify high probability of comorbid NT1 in patients with OSA early. Methods: Totally, clinical features of 246 patients with OSA in three sleep centers were collected and analyzed for the development of nine ML models. LASSO regression was used for feature selection. Various metrics such as the area under the receiver operating curve (AUC), calibration curve, and decision curve analysis (DCA) were employed to evaluate and compare the performance of these ML models. Model interpretability was demonstrated by Shapley Additive explanations (SHAP). Results: Based on the analysis of AUC, DCA, and calibration curves, the Gradient Boosting Machine (GBM) model demonstrated superior performance compared to other machine learning (ML) models. The top five features used in the GBM model, ranked by feature importance, were age of onset, total limb movements index, sleep latency, non-REM (Rapid Eye Movement) sleep stage 2 and severity of OSA. Conclusion: The study yielded a simple and feasible screening ML-based model for the early identification of NT1 in patients with OSA, which warrants further verification in more extensive clinical practices.

A Comprehensive Analysis of Clinical, Biochemical, and Polysomnographic Characteristics in Patients With Type 2 Diabetes Mellitus With and Without Obstructive Sleep Apnea.

BACKGROUND: Obstructive sleep apnea (OSA) has been a significant contributor to mortality all across the globe. The most attributing factors to pathogenesis are metabolic syndrome, obesity, diabetes, and so on, but the indicators of its early detection are still elusive. OBJECTIVE: The study aimed to compare the clinical, biochemical, and polysomnographic characteristics of type 2 diabetes patients with and without OSA. DESIGN AND METHODS: This cross-sectional study was conducted at the Department of Medicine and Endocrinology Unit of Dayanand Medical College and Hospital, Ludhiana. A total of 584 patients with type 2 diabetes were assessed using the Berlin questionnaire, with 302 fulfilling the criteria for a high risk of OSA. Out of 302 patients who met the criteria for the high-risk category, 110 patients underwent a sleep study. RESULTS:  Three hundred and two patients satisfying the inclusion and exclusion criteria were enrolled in the study. A total of 110 patients underwent a sleep study, of which 68 (61.8%) had evidence of OSA. The waist-to-hip ratio was considerably higher in the OSA patients than in the non-OSA group (1.09 vs 0.930, p = 0.001). HbA1c >7% was found in 58.8% of OSA patients contrary to 38.1% of non-OSA patients. Fasting plasma glucose levels (>126 mg/dl) were identified in a substantially larger proportion of OSA patients than the non-OSA patients (64.7% vs 45.2%, p = 0.04). Similarly, peripheral neuropathy was found more commonly in the OSA patients than in the non-OSA patients (47% vs. 26.1%, p = 0.02). Prevalence of retinopathy, nephropathy, coronary artery disease, stroke, heart failure, and peripheral vascular disease did not differ significantly between the two groups. CONCLUSIONS: OSA frequently occurs among individuals diagnosed with type 2 diabetes mellitus. The prompt identification of OSA within this demographic is imperative to pinpoint those at an elevated risk of succumbing to conditions such as peripheral neuropathy, the exacerbation of glycemic control, and the onset of unmanaged hypertension. Moreover, there exists a positive correlation between the waist-to-hip ratio and the prevalence of OSA in persons with type 2 diabetes mellitus, highlighting the critical role of waist-to-hip ratio assessments in this patient population.

Using standardized ultrasound imaging to correlate OSA severity with tongue morphology.

BACKGROUND: Ultrasound imaging has been explored as a potential diagnostic tool for obstructive sleep apnea (OSA); we reported backscatter ultrasound imaging (BUI) of the tongue correlates with OSA severity in adults. We focus on anatomical features of the tongue using standardized ultrasonography and hypothesize that differences in morphology correlate with OSA severity. METHODS: This prospective study was IRB approved (53,172) and conducted at Stanford University Sleep Surgery Clinic. Patients ≥18 years with polysomnography (PSG) underwent a standardized submental ultrasound scan using a laser alignment tool to observe the upper airway in supine position during tidal respiration. Images acquired from this scan were divided into 4 equiangular regions (A-D). RESULTS: A total of 144 patients (30 women) July 2020-December 2022 were included with mean age 41.6 years (±12.9 SD), BMI 27.2 kg/m2(±4.7 SD), and AHI 19.7 (±20.0 SD). Moderate-to-severe OSA patients had significantly narrower airspace at regions A, B and C with p-values ranging from <0.0001 to 0.0003. These patients had a significantly wider (p = 0.0021-0.0045 for regions A, B and C) tongue and thicker (p = 0.0403 for region B) deep tissue. The predictive model to assess the risk of moderate-to-severe OSA achieved an area under the receiver operating characteristic curve of 0.839 (95 % CI: 0.769 to 0.895). CONCLUSIONS: With standardized, computerized ultrasound imaging of the shape and configuration of the tongue, we identified regions that correlated well with OSA severity. Further research is needed to determine the clinical implications of such pathophysiological findings.

Systematic review and meta-analysis of surgical approaches for improving airway stability in infants with Robin sequence: Evaluating complications and outcomes.

The purpose of this systematic review and meta-analysis was to determine the most effective and least morbid surgical technique for relieving retroglossal airway obstruction in infants with Robin sequence (RS). The study adhered to PRISMA guidelines and included 25 studies (24 cohorts and one case series) that investigated interventions for airway improvement, including conservative measures, tongue-lip adhesion (TLA), mandibular distraction osteogenesis (MDO), and tracheostomy. The primary outcome variable was complication rate, while predictor variable was the use of interventions for airway improvement. Results showed that conservative measures were the preferred initial management strategy in most studies, while TLA was recommended for infants with mild obstruction, and MDO or tracheostomy was reserved for severe cases. Only complications could be analysed via meta-analysis due to data heterogeneity, revealing that tracheostomy had a summary odds ratio of 5.39 in favour of TLA, while MDO had a ratio of 2.8 over TLA, and the complication rates were similar between MDO and tracheostomy. If conservative measures fail, the study recommends mandibular distraction as the preferable technique for stable airway improvement. If the infant is unsuitable for distraction, tongue-lip adhesion may serve as an alternative, while tracheostomy should be reserved for cases of severe multi-level obstruction. The authors propose that large-scale, multicentre trials comparing long-term outcomes are required to establish definitive guidelines.

Oral appliance therapy vs. positional therapy for managing positional obstructive sleep apnea; a systematic review and meta-analysis of randomized control trials.

AIM: To assess the efficacy of positional therapy and oral appliance therapy for the management of positional obstructive sleep apnea. METHODS: We searched PubMed, Web of Science, Cochrane, and SCOPUS for relevant clinical trials. Quality assessment of the included trials was evaluated according to Cochrane's risk of bias tool. We included the following outcomes: The apnea-hypopnea index (AHI), AHI non-supine, AHI supine, sleep efficiency, percentage of supine sleep, Adherence (≥ 4 h/night, ≥ 5 days/week), Oxygen desaturation Index, Arousal Index, Epworth Sleepiness Scale score (ESS), Mean SpO2, and Functional Outcomes of Sleep Questionnaire. RESULTS: The AHI non-supine and the ESS scores were significantly lower in the OAT cohort than in the PT cohort. The PT cohort was associated with a significantly decreased percentage of supine sleep than the OAT cohort (MD= -26.07 [-33.15, -19.00], P = 0.0001). There was no significant variation between PT cohort and OAT cohort regarding total AHI, AHI supine, ODI, sleep efficiency, arousal index, FOSQ, adherence, and mean SpO2. CONCLUSION: Both Positional Therapy and Oral Appliance Therapy effectively addressed Obstructive Sleep Apnea. However, Oral Appliance Therapy exhibited higher efficiency, leading to increased supine sleep percentage and more significant reductions in the Apnea Hypopnea Index during non-supine positions, as well as lower scores on the Epworth Sleepiness Scale.

Association between a composite measure of sleep health and depressive symptoms in patients with obstructive sleep apnea treated with CPAP therapy: Real-world data.

OBJECTIVE: Sleep health is known to be multidimensional, and there is increasing clinical interest in composite sleep health scores that capture the number of adverse sleep characteristics. We investigated whether a composite sleep health score was associated with depressive symptoms in patients with obstructive sleep apnea (OSA) treated with continuous positive airway pressure (CPAP). METHODS: Participants were OSA patients using CPAP (n = 1768, (92.1 % men, age 52.7 ± 10.7 years) attending sleep clinics in Japan. A cross-sectional survey conducted in 2020 assessed self-reported sleep and depressive symptoms. Sleep health was categorized as "good' or "poor' on five dimensions: satisfaction, daytime sleepiness, mid-sleep time, efficiency, and duration. A composite sleep health score was calculated by summing the "poor' dimensions. Depressive symptoms were assessed using two items from the Patient Health Questionnaire (PHQ-2). Associations between sleep health and depressive symptoms were assessed using multivariable logistic regression analysis. RESULTS: Individual sleep health symptoms of poor satisfaction and efficiency were significantly associated with depressed mood; poor satisfaction, daytime sleepiness, and duration were significantly associated with loss of interest; and poor satisfaction, efficiency, and duration were significantly associated with depressive symptoms. Composite sleep health scores were associated with greater odds of depressive symptoms in a graded manner. CONCLUSIONS: Individual and composite sleep health scores were associated with depressive symptoms. Measures of multidimensional sleep health may provide a better understanding of the association between poor sleep and depressive symptoms among patients with OSA using CPAP, accounting for CPAP adherence, leading to improved intervention strategies.