Exploring the Arousal Intensity in Patients with Obstructive Sleep Apnea: Based on Odds Ratio Product.

Aim: Obstructive sleep apnea (OSA) is characterized by repetitive upper airway collapse during sleep, resulting in frequent cortical arousals. However, currently used frequency-based arousal metrics do not sufficiently capture the heterogeneity and clinical significance of arousal responses. The odds ratio product (ORP) is a novel electroencephalographic marker that provides a continuous assessment of sleep depth and has the potential to serve as an objective measure of arousal intensity.

K- complex metrics predict psychomotor vigilance in young and middle-aged adults with obstructive sleep apnea: A severity-dependent neural biomarker study.

Background: K-complexes, electroencephalographic markers of sleep protective mechanisms, may reflect cognitive impairment in obstructive sleep apnea (OSA). We investigated whether K-complex metrics (frequency, density, duration, amplitude) independently predict psychomotor vigilance in patients with OSA.

Methods: In 140 young and middle-aged adults, K-complexes were automatically detected via a U-Net neural network analyzing F3-M2 electroencephalogram recording.

Potential marker of brain impairment secondary to obstructive sleep apnea: The brain asymmetry.

Background: Obstructive sleep apnea (OSA) is one of the leading causes of sleep disorders and often exhibits psychological impairments. Brain asymmetry (BA), a recognized marker of psychological traits, has been found to be significantly elevated in OSA and associated with anxiety and personality traits. However, evidence for a causal relationship between BA and respiratory events remains lacking.

Cognitive-friendly sleep patterns in older Adults:A cross-regional HCAP study.

Background: Sleep patterns, including daytime napping and nighttime sleep duration, have complex relationships with cognitive health, yet the nonlinear associations across diverse populations remain underexplored.

Methods: Utilizing harmonized cognitive assessment protocol from the China Health and Retirement Longitudinal Study (CHARLS-HCAP) and the Survey of Health, Ageing, and Retirement in Europe(SHARE-HCAP). Cognitive function was assessed based on Minimum Mental State Examination (MMSE), Brief Community Screening Instrument-Dementia (BCSID,10/66).

Characteristics of quantitative arousal intensity and its association with cognitive function and sleepiness in sleep apnea patients.

Study Objectives: Obstructive sleep apnea (OSA) disrupts sleep, leading to cognitive impairment and sleepiness, but risk stratification remains unclear. We developed an EEG-based arousal marker to quantify sleep fragmentation and assessed its associations with neurocognitive function and daytime sleepiness.

Methods: Arousal intensity was derived from EEG signals in 1070 APPLES (Apnea Positive Pressure Long-term Efficacy Study) study participants.

Estimated cost-effectiveness of early screening strategies for newborn hearing impairment using a Markov model.

Background: Decision-making on how to conduct the concurrent hearing and genetic screening of newborns lacks a health economics basis. To estimate the cost-effectiveness of different newborn hearing screening strategy is necessary.

Methods: A decision tree for a simulated cohort population of 9.

HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection.

Electroencephalography (EEG) is widely utilized for train driver state detection due to its high accuracy and low latency. However, existing methods for driver status detection rarely use the rich physiological information in EEG to improve detection performance. Moreover, there is currently a lack of EEG datasets for abnormal states of train drivers.

Obstructive sleep apnea's causal links to depression, well-being, and negative moods: a bidirectional mendelian randomized study.

Previous observational studies showed associations between obstructive sleep apnea (OSA) and depression and other negative moods. However, the causality has not been determined. Single nucleotide polymorphisms were identified as instrumental variables by screening from genome-wide association studies.

Impact of age on sleep duration and health outcomes: Evidence from four large cohort studies.

Background: Sleep duration (SD) is a critical determinant of health, with both short and long SD associated with increased risks of morbidity and mortality. However, distinct ages may exhibit unequal sleep needs. Few studies have addressed the modulation of age on SD associated all-cause mortality (AM).

Cost-utility analysis of a tiered diagnostic approach combining a screening model and polysomnography in pediatric obstructive sleep apnea.

Study Objectives: Obstructive sleep apnea (OSA) is a common disorder in the pediatric population, primarily diagnosed through polysomnography (PSG). However, PSG can be expensive and is often limited in availability. This study aimed to develop a cost-effective diagnostic strategy by integrating a screening model with PSG.

Association between overnight repetitive respiratory events and the accumulation of genioglossus fatigue in male patients with severe obstructive sleep apnea.

Purpose: To evaluate the correlation between median frequency (MF) as a measure of genioglossus (GG) fatigue and overnight repetitive respiratory events in male patients with severe obstructive sleep apnea (OSA).

Methods: GG electromyography (EMG) data were collected synchronously with polysomnography (PSG). Overnight respiratory events were divided based on whether they occurred during the first or second halves of the total number of overnight respiratory events, and differences in MF in the respiratory phase were compared in the same segments.

Efficacy of Oral Appliance for Mild, Moderate, and Severe Obstructive Sleep Apnea: A Meta-analysis.

Objective: Oral appliances (OA) are the recommended first-line option for mild-to-moderate obstructive sleep apnea (OSA)-hypopnea. However, there is a lack of evidence to compare the effectiveness of OA in different severities of OSA. The purpose of this study was to investigate the therapeutic effects of preferred OA (tongue retention devices [TRD] and mandibular advancement device [MAD]) in different severities of OSA.

Automatic prediction of obstructive sleep apnea event using deep learning algorithm based on ECG and thoracic movement signals.

Background: Obstructive sleep apnea (OSA) is a sleeping disorder that can cause multiple complications.

Aims/objective: Our aim is to build an automatic deep learning model for OSA event detection using combined signals from the electrocardiogram (ECG) and thoracic movement signals.

Materials And Methods: We retrospectively obtained 420 cases of PSG data and extracted the signals of ECG, as well as the thoracic movement signal.

Associations Between Sleep Spindle Metrics, Age, Education and Executive Function in Young Adult and Middle-Aged Patients with Obstructive Sleep Apnea.

Purpose: This study aimed to investigate the association between sleep spindle metrics and executive function in individuals with obstructive sleep apnea (OSA). Furthermore, we examined the association of age and education on executive function.

Patients And Methods: A total of 230 (40.

Sleep medicine in China: current clinical practice.

Unlabelled: The modern practice of sleep medicine in China was introduced in the 1980s and has undergone significant development over the past few decades. The field has witnessed an increase in sleep laboratories, the publication of guidelines for the diagnosis and treatment of sleep disorders, and the establishment of several sleep medicine associations. Despite these achievements, there is still much to be done in this field.

Facial Contour Features Measured on CT Reflects Upper Airway Morphology in Patients With OSA.

Objective: To determine facial contour features, measured on computed tomography (CT), related to upper airway morphology in patients with obstructive sleep apnea (OSA); certain phenotype of facial abnormalities implying restriction of craniofacial skeleton and adipose tissue nimiety has predicted the value of the severity of OSA.

Materials And Method: Sixty-four male patients with OSA [apnea-hypopnea index (AHI) ≥10/h] who had upper airway CT were randomly selected to quantitatively measure indicators of facial contour and upper airway structures. Pearson correlation analyses were performed.

Optimized concurrent hearing and genetic screening in Beijing, China: A cross-sectional study.

Concurrent screening has been proven to provide a comprehensive approach for management of congenital deafness and prevention of ototoxicity. The SLC26A4 gene is associated with late-onset hearing loss and is of great clinical concern. For much earlier detection of newborns with deafness-causing mutations in the SLC26A4 gene, the Beijing Municipal Government launched a chip for optimized genetic screening of 15 variants of 4 genes causing deafness based on a chip to screen for 9 variants of 4 genes, and 6 variants of the SLC26A4 gene have now been added.

Clinical Characteristics Combined with Craniofacial Photographic Analysis in Children with Obstructive Sleep Apnea.

Purpose: Distinguishing obstructive sleep apnea (OSA) in a high-risk population remains challenging. This study aimed to investigate clinical features to identify children with OSA combined with craniofacial photographic analysis.

Methods: One hundred and forty-five children (30 controls, 62 with primary snoring, and 53 with OSA) were included.

Value of Opening the Middle Meatus in Patients With Nasal Airway Obstruction.

Objectives: While surgeries to correct the anatomical malformations that cause nasal airway obstruction (NAO) are generally successful, the outcomes of such procedures are often unsatisfactory. The aim of the present study was to assess the value of opening the middle meatus in patients with NAO.

Methods: Thirty-four patients with nasal obstruction due to nasal septal deviation were included in this study.

Prediction of obstructive sleep apnea using deep learning in 3D craniofacial reconstruction.

Background: Obstructive sleep apnea (OSA) is a common sleep disorder. However, current diagnostic methods are labor-intensive and require professionally trained personnel. We aimed to develop a deep learning model using upper airway computed tomography (CT) to predict OSA and to warn the medical technician if a patient has OSA while the patient is undergoing any head and neck CT scan, even for other diseases.

Analysis of nasal resistance regulation mechanism during postural changes in patients with obstructive sleep apnea by measuring heart rate variability.

Study Objectives: Changes in nasal resistance (NR) during postural changes are influenced by venous filling pressure and autonomic nervous system mediation, and heart rate variability (HRV) can reflect changes in the autonomic nervous system. This study aimed to explore the regulatory mechanisms of NR in patients with obstructive sleep apnea (OSA) during postural changes.

Methods: Healthy controls (apnea-hypopnea index < 5 events/h) and patients with OSA were recruited.