View clinical trials related to Sleep Disordered Breathing.
Filter by:The objective of this study is to test the usability of the Alice PDx device by both the end user (patient/participant) and the sleep technician. Data will be collected via questionnaires regarding the participant's ability to understand the participant user manual under home conditions and the technician's ability to set up the Alice PDx according to the health care provider manual. This study will also compare the physiological data recorded by the Alice PDx to the physiological data recorded by its predicate device the Alice 5 System and validate its equivalence. This will be evaluated by comparing the manual study scores for detected apnea and hypopnea events and on an event by event basis during a standard polysomnography (PSG)/ sleep study. The study will test the ability of the Alice PDx to record good quality data as determined by the Good Study Indicator (GSI) function of the Alice PDx firmware. The primary hypothesis is that the participant will be able to successfully apply the Alice PDx basic leads following the participant user manual instructions and the sleep technician will be able to successfully apply the advanced leads in preparation for the sleep study. In addition, it will be demonstrated that the Alice PDx is equivalent to the Alice 5 System in its intent to record, display and print physiological data to the clinician/physician in order to aid in the screening/follow-up diagnosis of respiratory sleep disorders.
A multi-center, prospective, single-visit study designed to acquire physiologic pulse oximeter waveform data during standard polysomnography (PSG) studies performed at multiple different Sleep Lab Centers.
Sleep disordered breathing (SDB) is a common problem in the adult population. By conservative estimates, 4% of the adult female population has SDB. SDB is a recognized cause of hypertension and treating SDB can improve blood pressure control in people with hypertension. More recently, research efforts have looked at SDB as a possible cause of pregnancy induced hypertension (PIH), a condition which complicates 10% of pregnancies. Traditionally, the best way to assess SDB required patients to spend a night sleeping in the Sleep Laboratory. This is inconvenient and for pregnant women often impossible to arrange, considering the short time frame that exists between time of PIH diagnosis and eventual delivery. Researchers at the University of Saskatchewan are now looking at whether an adequate sleep assessment can be performed at the bedside - either in a patient's home or on the hospital ward. The researchers will also look at different treatment options for sleep apnea, to see if these can improve blood pressure control in this patient population, and delay the need for early delivery. The information from this study may result in a detailed sleep assessment becoming part of the complete assessment of women with PIH. There is an association between sleep disordered breathing (SDB) and gestational hypertension (GHTN). Treatment for the SDB may represent an effective addition to the management of the cardiovascular and metabolic perturbations of GHTN We plan to assess women whether treating SDB with one of two methods will improve the management of GHTN. We will also assess if one method is more effective than the other.
The purpose of this trial is to evaluate the long-term effects and cost-effectiveness of adaptive servo-ventilation (ASV) on the mortality and morbidity of patients with stable heart failure due to left ventricular systolic dysfunction, already receiving optimal medical therapy, who have sleep disordered breathing (SDB) that is predominantly central sleep apnea. Assumptions: the intervention reduces the hazard rate by 20%. The event rate in the control group is 35% in the first year. It is assumed that the hazard rate is constant over time.
This study is being undertaken to collect data from Respironics Inc's BiPAP Auto Servo Ventilation 3 (autoSV3) and compare with data from Respironics, Inc's BiPAP autoSV2, to confirm that the algorithms in the BiPAP autoSV3 device can safely and effectively treat participants experiencing Complex Sleep Apneas (Comp SAS) no worse than its predecessor, the BiPAP auto Servo ventilation 2 (autoSV2) device. This will be determined using a comparative, randomized design with the participants blinded to the therapy. Additionally, attempts will be made to blind the central scorer(s) with respect to which device is in use.
Patients with sleep disordered breathing (SDB), also called sleep apnea, experience nighttime disrupted sleep and, because they stop breathing for short periods during the night, do not get sufficient oxygen to their brains. This can frequently result in daytime impairments including difficulties with memory. The state-of-the-art treatment for SDB is Continuous Positive Airway Pressure (CPAP). Many non-demented SDB patients who are successfully treated with CPAP show improvement in memory and other cognitive functions. Data have shown that patients with Parkinson's disease have a high rate of SDB. Patients with Parkinson's disease also often have problems with memory. This study will test the effects of treating SDB among patients with Parkinson's disease and SDB. Specifically, the study will test the effect of CPAP treatment on SDB and sleep; the effect of CPAP treatment on daytime sleepiness, cognition, overall quality of life and mood; the effect of CPAP treatment on the frequency of symptoms of REM behavior disorder and restless legs syndrome; the effect of continued CPAP use (beyond the six weeks of the study) on SDB, sleep, cognition, mood and quality of life; whether the study-partner feels that CPAP improves the patient's sleep, mood and overall functioning; whether study-partners feel that their own sleep, mood and overall functioning improve as the patient's sleep improves both during the 6-week protocol and at follow-up for those opting to continue using CPAP.
The purpose of this research is to study and improve the methods used to detect childhood breathing problems during sleep that can affect daytime behavior at home and school. Early diagnosis of these sleep disorders may allow doctors to treat children at a time when the consequences can still be reversed.
Sleep-disordered breathing (SDB) in children may be responsible for disruptive daytime behaviors such as inattention and hyperactivity. Many children undergo tonsillectomy for SDB and disruptive daytime behaviors. However, the link between SDB and disruptive behavior is not clearly understood. This study will evaluate the relationship between SDB and disruptive behavior.
The diagnosis and treatment of sleep disordered breathing have come to the forefront of clinical medicine following recognition of the high prevalence and associated morbidity of sleep apnea. The effects on quality of life as well as societal costs have been well documented. The NYU Sleep Research Laboratory has spent the last several years working on the problem of improving the diagnosis of mild sleep disordered breathing which manifests as the upper airway resistance syndrome. Our approach has been to develop a non-invasive technique to detect increased upper airway resistance directly from analysis of the airflow signal. A characteristic intermittent change of the inspiratory flow contour, which is indicative of the occurrence of flow limitation, correlates well with increased airway resistance. Currently all respiratory events are identified manually and totaled. This is time consuming and subject to variability. The objective of the present project is to improve upon the manual approach by implementing an artificially intelligent system for the identification and quantification of sleep disordered breathing based solely on non-invasive cardiopulmonary signals collected during a routine sleep study. The utility of other reported indices of sleep disordered breathing obtained during a sleep study will be evaluated. Successful development of an automated system that can identify and classify upper airway resistance events will simplify, standardize and improve the diagnosis of sleep disordered breathing, and greatly facilitate research and clinical work in this area. Using a physiological based determination of disease should allow better assessment of treatment responses in mild disease.