Obstructive sleep apnoea Obstructive sleep apnoea (OSA) is a complex condition with many different phenotypes. Historically, OSA has been defined using the apnoea-hypopnoea index (AHI). However, because there is no clear relationship between the AHI and the severity of symptoms and comorbidities the degree of hypoxia is increasingly being used to define OSA severity. To reach a diagnosis of obstructive sleep apnoea syndrome (OSAS), it has to be shown that symptoms improve with therapy. The treatment of first choice for patients with severe OSA is continuous positive airway pressure (CPAP) therapy. The indication for other therapies depends upon the patient's characteristics and preferences. Treatment with a position trainer and implantation of a hypoglossal nerve stimulator are relatively new therapies. OSA is a cardiovascular risk factor, but the effect of OSA treatment on cardiovascular outcome measures and mortality has not been shown in clinical trials.
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Objective: To investigate machine learning-based regression models to predict the postoperative apnea-hypopnea index (AHI) for evaluating the outcome of velopharyngeal surgery in adult obstructive sleep apnea (OSA) subjects.
Study Design: A single-center, retrospective, cohort study.
Setting: Sleep medical center.
Front Public Health
December 2024
AstraZeneca SpA, Milano Innovation District (MIND), Milano, Italy.
Background: Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.
Objective: The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.
Sleep Breath
January 2025
Faculty of Medicine, Department of Neurology, University of Debrecen, Moricz Zs. str. 22, Debrecen, H-4032, Hungary.
Purpose: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is the most common sleep-related breathing disorder. Longer term, repeated episodes of hypercapnia and hypoxemia during sleep are associated with inflammatory and atherosclerosis-related factors. The aim of this study was to explore the effect of continuous positive airway pressure (CPAP) therapy on cerebral vasoreactivity and early atherosclerosis in patients with severe OSAHS.
View Article and Find Full Text PDFSleep Breath
January 2025
Gülhane School of Medicine, Department of Neurology, University of Health Sciences, Ankara, Türkiye.
Background: Our aim was to determine the effect of obstructive sleep apnea syndrome (OSAS) risk on sialorrhea in patients with Parkinson's disease (PD).
Methods: A total of 75 patients with PD (mean age 66.36 ± 8.
Obes Surg
January 2025
Department of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Background: Previous studies showed a high conversion rate and failure of restrictive procedures, including sleeve gastrectomy (SG), adjustable gastric banding (AGB), gastric plication (GP), and vertical banded gastroplasty (VBG) in a long-term follow-up. The current study aims to evaluate the efficacy and safety of a revisional one anastomosis gastric bypass (OAGB) for weight loss and treatment of obesity-related problems after primary metabolic and bariatric restrictive procedures.
Methods: A retrospective study on prospectively collected data was conducted on a sample of 151 patients who experienced insufficient weight loss or weight regain after primary restrictive surgeries and underwent OAGB as a revisional procedure.
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