View clinical trials related to Apnea, Obstructive Sleep.
Filter by:Sleep is an important modulator of the immune response, whereby sleep disturbances (ie, poor sleep quality, insufficient sleep and/or primary sleep disorder, obstructive sleep apnea (OSA)) contribute to inflammatory disease risk and dysregulation of immune response in front of infectious agents. The objective of this study is to evaluate the impact of undiagnosed and non-treated sleep disorders on innate immunity in a cohort of COVID-19 patients and the role of trained immunity induced by influenza vaccination in the innate immune response.
The concept is a novel research idea that incorporates the potential impact of patient quality of life (QOL) on decision-making for treatment of mild obstructive sleep apnea (OSA). Our hypothesis is that in children with mild OSA there is significant conflict with parental decision-making; in the absence of significant sleep apnea, there is limited research regarding comparative efficacy of various treatment options. The impact of a QOL questionnaire can be a significant deciding factor and may help guide management decisions in such situations.
ABSTRACT OBJECTIVES: To study the correlation between pharyngeal airway volume (PAV), the clinical indicators of obstructive sleep apnea (AHI, ESS), and the impact of orthognathic surgery on them. METHODS: A prospective, descriptive, unicentric study carried out by a multidisciplinary team to evaluate the following parameters in patients undergoing orthognathic surgery at Maxillofacial institute Teknon medical center. During the study period: - Record of the type, magnitude and direction of surgical movements of the maxillofacial complex made during the surgery (Day 0-Month 1). - Assessment of PAS/PAV stability (relapse) at short term (1 month). 3D PAV assessment by cranial voxel-based superimposition protocol before and one month and 12 months after orthognathic surgery. - Household polysomnography (PSG) registry/ apnea-hypopnea index (Day 0, Month 1 and Month 12). (AHI evaluation bu neurophysiologist) - Assessment of the clinical indicators of obstructive sleep apnea at day 0, month 1 and month 12:, blood pressure (mm Hg) , and daytime hypersomnia test (Epworth sleepiness scale, ESS) (Day 0, Month 1 and Month 12). - Record of body mass index (BMI) (cm/Kg2) Main Objective: • Evaluate the impact of orthognathic surgery (bimaxillary or monomaxillary) and its movements on the PAV and the clinical indicators of OSA. Specific objectives: • Interrelate the degree of dentofacial deformity with the IAH. - Study the potential correlation between the volume of the VAS and the IAH. - Correlate the type, direction and magnitude of the surgical movements of the maxillofacial complex with PAV/PAS increase Correlate the type, direction and magnitude of the surgical movements of the maxillofacial complex with the cure of OSA (household PSG AHI assessment) and the following clinical indicators of OSA: diurnal hypersomnia test (ESD, ESS). - Evaluate negative effects of either maxillary or mandibular surgical movements in PAS/PAV increase and the cures of OSA. Evaluate negative effects of either maxillary or mandibular surgical movements in the improvement of the clinical symptoms and the cure of OSA. - To study the possible effect of surgical complications on PAS/PAV stability at long term and the clinical symptoms of OSA. - Demonstrate that maxillomandibular surgery is a defined, predictable and a definitive cure for OSA. - Demonstrate that skeletal, linear, and cross-sectional volume parameters remain stable at long-term. - Demonstrate that AHI and OSA-related parameters stay stable at long term after mono- or bimaxillary surgery. Hypothesis - H1a: Maxillomandibular advancement (orthognathic surgery) does correlate with the volume of the upper airway, at both short or long term. - H2a: Maxillomandibular advancement (orthognathic surgery) does correlate with the clinical indicators of obstructive sleep apnea, at both short or long term.
We intend to study, in depth, the quantitative and qualitative properties of nasal respiration in sleep-disordered breathing and sleep apnea and its relation to (CPAP) treatment with the final goal of improving patient outcome. To do this we will temporarily alter patients' nasal airflow during monitored sleep to lower CPAP air pressure, making CPAP treatment more acceptable to the patient. Additionally we plan to implement highly advanced computerized modelling in collaboration with the OSASMOD research consortium at St. Olavs Hospital/NTNU and SINTEF to predict the results of our alterations and ultimately, to use these predictions to improve both the planning and the outcomes of nasal surgery.