Abstract hypothesized that sleep would be more disrupted in children born preterm. Method(s): Polysomnographic studies matched for age (3-12 years) and SDB severity were analyzed. Sleep macro-architecture was assessed using standard criteria and micro

Abstract and adolescents with DS for PSG. These models were based on a comprehensive set of potential predictive demographic, anthropometric, quality of life and sleep-related variables. Result(s): The results of this study show the predictive power of a model based

Abstract Children with Down syndrome are at increased risk of obstructive sleep disordered breathing, which has deleterious effects on daytime functioning. We aimed to examine the effects of treatment of sleep disordered breathing on sleep quality

Abstract BACKGROUND: Obstructive sleep apnoea (OSA) is a condition causing repetitive episodes of upper airway obstruction during sleep, leading to hypoxia and/or sleep disturbance. OSA affects 1-5% of children and has important implications for learning

Abstract polysomnography not involving respiratory support over 5 years (2012-2017). The main outcome measures were the presence of obstructive sleep apnea, central sleep apnea, or hypoventilation defined by an elevated transcutaneous partial pressure of carbon dioxide (Tc

Abstract (TD+). Children underwent overnight polysomnography with sleep macro- and micro-architecture assessed using electroencephalogram (EEG) spectral analysis, including slow-wave activity (SWA, an indicator of sleep propensity). Result(s): Children with DS

Abstract support. Method(s): 44 children with DS (3-19 years) underwent overnight polysomnography and were categorised into three groups: primary snoring, Mild and Moderate/Severe obstructive sleep apnoea (OSA). Parents completed questionnaires about their child