Sleep Disordered Breathing (SDB)

Atrial fibrillation (AF) is one of the most common clinical arrhythmias. Catheter ablation is an effective therapeutic strategy; however, recurrence rates remain substantial, ranging from 20% to 45%. Previous studies have established a strong association between obstructive sleep apnea (OSA) and the risk of AF recurrence following ablation. While continuous positive airway pressure (CPAP) is the standard intervention for OSA, and some observational studies suggest it may reduce post-ablation recurrence in patients with comorbid OSA, small randomized controlled trials have failed to confirm a clear benefit, potentially due to poor adherence. This study aims to evaluate the clinical benefit of post-ablation CPAP therapy in AF patients with comorbid OSA. Participants will: * Be randomly assigned to either the CPAP group or the usual care group. * If in the CPAP group, use a CPAP device for 12 months. * Wear an ambulatory ECG recorder for a 7-day period at 3, 6, 9, and 12 months post-operation. * Complete follow-up checkups either at the clinic or over the phone at 1, 3, 6, and 12 months after their procedure.

This is a prospective, cross-sectional observational study designed to evaluate the Pediatric Sleep Questionnaire (PSQ) as a screening tool for sleep-disordered breathing (SDB) risk in a pediatric dental setting. Children aged 8-13 years will be classified as low- or high-risk for SDB based on PSQ scores and compared using physiologic sleep parameters obtained from a wearable, FDA-cleared home sleep monitoring device, alongside psychosocial assessments and craniofacial measurements derived from lateral cephalometric radiographs. Findings will inform the feasibility and accuracy of incorporating validated SDB screening into routine pediatric dental care.

This study aims to determine the effect of adenotonsillectomy (AT) surgery on the progression of spinal curvature in children with mild sleep-disordered breathing (SDB) and concurrent scoliosis, as well as its potential role in preventing the de novo development of scoliosis in children with SDB.

This prospective observational study aims to investigate the impact of transcatheter aortic valve implantation (TAVI) and transcatheter mitral valve edge-to-edge repair (M-TEER) on sleep-disordered breathing (SDB) in patients with significant valvular heart disease. Patients undergoing TAVI or M-TEER will be evaluated with full polysomnography prior to the intervention and at 6 months follow-up. Changes in sleep parameters, including apnea-hypopnea index (AHI), central and obstructive apnea indices, oxygen desaturation, and sleep architecture, will be assessed. In addition, the study will explore the association between changes in SDB and echocardiographic as well as arrhythmic parameters. The findings are expected to improve the understanding of the interaction between valvular heart disease and SDB and to identify potential benefits of transcatheter interventions on sleep-related outcomes.

One of main problems in the management of sleep-disordered breathing (SDB) in children and young adults is their screening, and the absence or the weak correlation between clinical symptoms and polysomnography (PSG). It may be useful to use additional measures together with PSG to improve the detection and characterization of respiratory events during sleep and/or correlation with clinical signs of SDB. The primary objective of the study is to determine whether psychological and neuropsychological test scores correlate with diagnostic PSG results.

Obstructive sleep apnea (OSA) significantly increases the risk of cardiovascular events in patients with acute coronary syndrome (ACS), yet the underlying metabolic mechanisms remain unclear. This study aims to analyze the metabolic characteristics of ACS patients with OSA using metabolomics based on a prospective cohort. The study intends to construct an artificial intelligence-based risk stratification model to improve prognosis prediction and facilitate precision medicine for this population.

The Comprehensive Care of Sleep Disordered Breathing study (Care-SDB) is a prospective, multi-center, registry-based cohort study designed to investigate the integrated management of sleep-disordered breathing (SDB). The investigators aim to establish a nationwide SDB cohort and biobank to identify prognostic biomarkers, explore pathogenic mechanisms, and evaluate optimal treatment models. A total of 11,100 adult patients with recent sleep monitoring will be enrolled and followed longitudinally for up to 5 years. Data collection, including clinical outcomes and major adverse events, will be managed via a unified Electronic Data Capture platform. The results from Care-SDB are expected to provide critical evidence-based guidance for the risk stratification, standardized intervention, and personalized management of patients with sleep-disordered breathing.

This is a study to determine if the Lunair Alpha System is safe and effective for treating moderate to severe sleep disordered breathing.

The objective of this clinical study is to evaluate the accuracy of the Smart Mask V1 System (herein 'Smart Mask') in measuring sleep stages-Stage N1/N2, Stage N3, Rapid Eye Movement (herein 'REM'), and WAKE-arousals, and the Arousal Index in adults diagnosed with sleep-disordered breathing, such as obstructive sleep apnea (herein 'OSA'). The Smart Mask operates in concert with a Wireless Access Module (herein 'WAM'), which is connected to a standard positive air pressure (herein 'PAP') device used in the treatment of OSA. Collectively the Smart Mask and WAM operate neural network classifier algorithms to determine sleep stages, arousals, and Arousal Index. These algorithms are coded into an embedded software system called the Sleep Staging and Arousal Module (herein 'SSAM') that operates directly on the WAM. The SSAM processes the following parameters, collected while the participant is asleep: 1) instantaneous values of pulse rate, determined from embedded optical sensors within the Smart Mask that measure photoplethysmogram waveforms (herein 'PPG'); and 2) full-resolution flow waveforms measured by sensors within the PAP device and retrieved by the WAM. During the study, volunteer participants (preferably those with OSA) will undergo an overnight sleep study in sleep testing facility located at three separate clinical sites. The test device (comprising the SSAM operating on the WAM) will retrospectively determine sleep stages and arousals, after the participant's sleep session has concluded. To evaluate the accuracy of the test device, its values of sleep stages, arousals, and Arousal Index will be compared to those parameters determined by polysomnography (herein 'PSG', a recognized gold-standard reference) and EnsoSleep (a FDA-cleared predicate device, and specifically a software package that uses artificial intelligence (AI) to determine sleep stages and arousals). Each volunteer participant will wear an FDA-cleared wrist-worn pulse oximeter called the 'Checkme O2' which generates data (specifically PPG waveforms and values of SpO2 and pulse rate) for the EnsoSleep cloud-based software platform. The main questions this study aims to answer are: * Can the Smart Mask accurately identify different sleep stages compared to the EnsoSleep device? * Can the Smart Mask accurately identify sleep arousals and calculate the Arousal Index compared to the EnsoSleep device? Answers to these questions will be derived through comparative statistical analysis involving the test device, the gold-standard PSG reference, and the FDA-cleared predicate device, employing methodologies similar to those used in the validation of the EnsoSleep. The study will include two cohorts. The first cohort will include approximately 75 participants from a single clinical site and will be used for device training purposes. The second cohort will consist of approximately 72 different participants, and will be used to validate the test device. Participants in the second cohort will be distributed roughly evenly across two separate clinical sites.

The goal of this clinical study is to investigate a new medical device, the Smart Mask V1 System (herein 'Smart Mask'), and particularly its measurements of blood oxygen levels (SpO2) and pulse rate (PR) in healthy adults aged 18 to 65. More specifically, the study is directed at answering the following questions: * Can the Smart Mask accurately measure SpO2 levels compared to established reference devices (reference oximeters, blood gas) throughout the range of SpO2 \~ 70 - 100%? * Can the Smart Mask accurately measure PR during the same conditions? * Does skin pigmentation impact the accuracy of Smart Mask's measurements of SpO2 and PR. The following reference devices will be used in the study: * An FDA-cleared fingertip pulse oximeter (Nellcor Portable SpO2 Patient Monitoring System, PM10N) * A laboratory-grade CO-oximeter (Radiometer ABL90 FLEX) that analyzes oxygen saturation from blood samples. Study participants will: * Wear the Smart Mask on their face and a fingertip pulse oximeter while lying down * Breathe air with gradually reduced oxygen levels inside a specialized hypoxia room while being closely. * In a second phase of the study, have a catheter inserted into a wrist artery for blood sampling to directly measure oxygen levels with the CO-oximeter.

Currently, there are few and qualitatively unsatisfactory epidemiological data on the prevalence of sleep-disordered breathing (SDB) in children with cerebral palsy (CP). The investigators aim to conduct a multicentre retrospective study to assess the presence of SDB in children with CP undergoing sleep studies (polysomnography or polygraphy).

Sleep disordered breathing (SDB) is one of the most common sleep disorders, including obstructive sleep apnea (OSA), central sleep apnea (CSA), sleep-related hypoventilation, hypoxemia, etc., with OSA being the most prevalent. Also, SDB shows high comorbidities with multisystem diseases. Furthermore, compared to patients with pure SDB, those comorbid with SDB and other disorders like cardiometabolic dysfunction and cognitive impairment experience poorer quality of life, higher rate of disease progression and mortality, and a greater economic burden. Currently, there are limited cohorts to study the associations between SDB and multisystem diseases. The aim of this study is to establish an ambispective clinical cohort for SDB in Xiangya hospital from central-south China (Xiangya Sleep Disordered Breathing Cohort, Xiangya SDB cohort) including retrospective part and prospective part, which covers multi-dimensional data of sleep monitoring, demographic, daily behaviors, clinical manifestations and comorbidities status, life quality, treatment information and evaluation, etc. by self-reported questionnaires and objective assessments and tests. Besides, whole peripheral blood is drawn for following biomarkers study and omics analysis. The main goal is to achieve precise management of SDB and related multimorbidity, containing to early identify risk individuals for multisystem impairment, significantly improve their prognosis and ultimately enhance overall health. In detail: first, to reveal how multisystem impairment related to SDB evolves; second, to identify which indicators closely involve system dysfunction due to SDB; third, to build an efficient model and a cost-effective platform to screen high-risk population and tract therapeutic effect.

This is a first in human study to determine if the Lunair Alpha System is safe and effective for treating moderate to severe sleep disordered breathing.

Sleep-disordered breathing (SDB) is common in individuals with cervical spinal cord injuries, with studies suggesting prevalence rates ranging from 27% to 62%. The condition often leads to daytime sleepiness, fatigue, and poor participation in rehabilitation. Positive airway pressure therapy can be used to treat the condition; however, some individuals find continuous positive airway pressure (CPAP), which applies the same pressure during inhalation and exhalation, difficult to use. Bilevel positive airway pressure (BiPAP) offers different pressures for inhalation and exhalation, which may be more comfortable and potentially improve adherence in this patient population. However, limited evidence compares CPAP and BiPAP in individuals with cervical spinal cord injuries. This pilot study will enroll 32 adult participants with cervical spinal cord injuries who have moderate to severe SDB (defined as an AHI of 15 events/hour or greater). Participants will be randomly assigned to either CPAP or BiPAP therapy for 4 weeks. Device usage per night will be measured, and data on daytime sleepiness, fatigue, and sleep quality will be collected at baseline, 2 weeks, and 4 weeks. The investigators aim to determine whether BiPAP improves adherence and symptoms compared to CPAP in this patient population.

In people who have had a stroke or a transient ischemic attack (TIA), it is common to have problems with breathing patterns during sleep, particularly a condition called obstructive sleep apnea. Another common long-term problem after a stroke is post-stroke fatigue, which affects function and quality of life after stroke. There is currently no clearly effective treatment for post-stroke fatigue. We are investigating whether there might be a connection between sleep-related breathing disturbances, and the risk of developing long-term post-stroke fatigue The project is being conducted at Blekingesjukhuset Karlskrona, and inpatients with stroke are asked to participate. Participants are equipped with a sleep analysis pad under the mattress that measures breathing patterns during the night, as well as a wrist-worn device that measures oxygen saturation in the blood. Participants are also asked about their functional level in daily life and any symptoms of obstructive sleep apnea. One year after the stroke, participants are invited for a follow-up visit where we ask about post-stroke fatigue, depressive symptoms, and treatment and investigations related to the stroke. We will then investigate the relationship between sleep-related breathing disturbances, measured early after stroke, and the risk of significant fatigue after the stroke. This could lead to future studies with treatment trials for obstructive sleep apnea in certain individuals with post-stroke fatigue. The study could also lead to potentially increased awareness that these conditions might be connected, which could result in a higher likelihood of detecting treatable obstructive sleep apnea in certain subgroups after stroke.