View clinical trials related to Parasomnias.
Filter by:Patients with chronic pain who use opioids appear to be at increased risk for breathing issues during sleep, termed sleep disordered breathing (SDB). Treatment of SDB often consists of use of a device during sleep that provides continuous positive airway pressure (CPAP) via a mask interface. The goal of this study is to determine whether patients with chronic pain who use opioids and have SDB might benefit from the use of CPAP in terms of sleep quality, pain, quality of life, and other measures. In addition, the study will examine whether these individuals are able to adhere to CPAP, which will be important for future studies. Lastly, we anticipate that CPAP won't work for everyone due to the changes that opioids can cause in breathing patterns. We will examine how often CPAP is ineffective, and whether we can predict which individuals are least likely to resolve their SDB with CPAP.
The goal of this observational study is to collect data to develop a complete package (hardware, user interface software and algorithms) that can monitor sleep-wake stages in neonates. Real-time EEG data will be used to develop and refine the prototype monitor's ability to provide direct real-time information about sleep-wake state. The study design includes multiple iterative training/testing stages to refine the prototype. The study is divided into multiple sub-aims conducted in parallel: data acquisition, algorithm development (including comparison between gold-standard polysomnogram vs. novel algorithm markings of sleep-stages), and graphical user interface software development. The data acquisition and algorithm development are iterative and linked, such that the prototype algorithm from one iteration will be deployed real-time during the next iteration of data acquisition. This allows verification that the algorithm can perform real-time and provides prospective testing data, which is later folded into the training data for the next iteration, for verification and validation of the system.
The objective of this study is to carry out a randomized clinical trial with healthcare workers in Mexico through a web platform. The intervention aims to reduce anxiety, depressive symptoms, burnout, stress, compassion fatigue, and increase the quality of life and sleep and self-care, as well as improve skills in providing bad news to patients and their families. A self-applied intervention will be compared with an intervention delivered by therapists providing the same intervention implemented through Zoom, Skype, or Microsoft Teams, to ensure sanitary protection measures.
Patients with cancer often suffer from a symptom cluster, including pain, fatigue, sleep difficulties, emotional distress and cognitive impairments. In oncology settings, there is a growing interest in "mind-body" intervention, to relieve them in a non-pharmacological way. Hypnosis and meditation are two modified state of consciousness shown to positively this symptom cluster. Cognitive trance is also a modified state of consciousness, but is induced by body movements and/or vocalizations. Subjective reports of experts in cognitive trance showed a modification of self, emotion regulation, pain perception, attention and concentration. However, we still need to develop studies to better characterise this particular state of consciousness and its clinical applications. Our randomized-controlled trial aims at comparing both interventions in terms of (1) benefits on cancer patients' quality of life (pain, fatigue, sleep, distress, cognitive impairments), (2) phenomenological/subjective experiences and neurophysiological correlates, and (3) mechanisms involved in patients' responsiveness, based on the biopsychosocial model of hypnosis.
Although early interventions can improve health equity in young children living in poverty, this promise often is not realized because of barriers to family engagement. The proposed study will target co-morbid behavior and sleep problems in early childhood, comparing child outcomes and family response to sleep and behavior interventions and investigating the novel strategy of letting families select their intervention.We will enroll 500 low-income toddlers with co-morbid sleep and behavior problems, randomized to 4 parent coaching interventions: sleep, behavior, family choice (sleep or behavior), and an active control. At baseline and at 1, 5, and 9 months post- intervention, we will assess child sleep and behavior and family functioning. We will measure family preference, engagement, and perceived value of each intervention. The goals of the study are: (1) to examine effects of evidence- based sleep and behavior interventions in young low-income children with co-morbid sleep and behavior problems on child sleep and behavior and family functioning; (2) to determine whether parents prefer, engage with, and value a sleep or behavior intervention more; and (3) to examine if giving families a choice of intervention results in higher engagement, higher perceived value and better family and child outcomes than assignment to intervention. By informing best practices for engaging low-income families to treat co-morbid sleep and behavior problems, results will be critical to reducing health disparities for children living in poverty.
The main aim of this study is to prospectively evaluate the occurrence of sleep disorders in patients undergoing thoracic surgery due to the preliminary diagnosis of lung cancer. Secondary aims include anxiety, depressive mood and functional outcomes before and 3 months after the intervention.
This research will assess the ability of nightly objective sleep scheduling and sleep heart rate data to predict variation in suicidal ideation in U.S. military veterans identified as high-risk according to actuarial and/or clinical indicators. These data will be recorded using one of two low-cost, commercial, zero-burden, mattress actigraphic systems that enable remote, centralized, data access. Participants will be veterans accrued both from the REACH VET and local high-risk lists, a process involving collaboration with the Suicide Prevention Coordinator at the VA Palo Alto HCS. In order to minimize burden, participants will be screened by telephone, consented by mail and telephone, administered a brief admission psychometric interview by telephone, and mailed a sleep sensor system and instructions for its installation in their home. Once sleep data collection has commenced, a trained interviewer will contact the participant by telephone weekly and administer the Columbia-Suicide Severity Rating Scale. Data collection will continue for three months. The study targets a sample of 40 veterans. Longitudinal mixed effects modeling will be employed to determine whether changes in sleep scheduling and sleep heart rate predict changes in suicidal ideation.
The JuLi Registry seeks to fill some of the gaps associated with the clinical use of CBD (cannabidiol) and other cannabinoid formulations including THC and others. The overarching goal of this Registry is to rapidly advance research and understanding of the use of cannabis and hemp-based formulations, in the clinical community setting, when it is utilized to manage the symptoms of cancer treatment and other underlying health issues. These symptoms include nausea, neuropathy, and sleeplessness and chronic pain.
We aim to observe the unwanted effects of nightshift work and short term insomnia on erectile function of men aged between 25 to 60 years. We will also compare the levels of serum testosterone in the target group and compare it with the ones who don't work in hightshifts.
Current methods for assessing circadian timing require sampling over hours (or even up to a day) while the patient is in controlled conditions. The investigators aim to develop a method that can estimate individual circadian time with a single blood sample taken at any time of the day or night. To do this, the investigators will use two state of the art methods, a plasma proteomics-based method to identify a panel of rhythmic proteins (extending our preliminary data) and a whole blood-derived monocyte-based method using a panel of 15 transcripts (to validate and extend a recent study). We will test both methods in a series of patients with circadian rhythm sleep disorders. We will validate separately the proteomics-based biomarker and the monocyte-based transcript biomarker, and also explore whether combining them can improve the accuracy of our timing estimates. In all cases, circadian phase estimates from the biomarker panels will be compared with those derived from plasma or saliva melatonin (the current "gold-standard" circadian phase marker).