Highlights:
•Assessed validity of a daytime sleepiness scale modified for ages 7–16 years.
•A sodium oxybate pediatric narcolepsy study was used to validate the modified scale.
•Validity was assessed in age subgroups (ages 7–11 and 12–16 years at enrollment).
•Analysis results support validation of the modified scale (1-week...
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Dr Hamid4yrESS-CHAD may be a useful instrument for assessment of excessive daytime sleepiness in pediatric patients
14 Non-interventional, qualitative study assessing patient perspectives of the burden of excessive daytime sleepiness in obstructive sleep apnoea
Source : https://bmjopenrespres.bmj.com/content/8/Suppl_1/A7.1
Introduction Many patients with obstructive sleep apnoea (OSA) experience excessive daytime sleepiness (EDS) despite primary airway therapy. This study aimed to understand the burden of EDS in European adults with...
Discussion Findings demonstrate the patient-perceived burden of residual EDS in OSA. Forty percent of patients without an EDS diagnosis did not discuss EDS with their doctor despite daily impacts.
Childhood narcolepsy and autism spectrum disorder: a retrospective case notes review of clinical characteristics
Source : https://bmjopenrespres.bmj.com/content/8/Suppl_1/A21.1
Background Autism spectrum disorder (ASD) is often seen alongside narcolepsy in childhood; however, little is known about the potential link between the two. Our objective was to identify any similarities...
Discussion Descriptive analysis of this sample has shown that 40% of children with narcolepsy also have and ASD diagnosis or autistic traits. These children were more likely to be rated as anxious by their parents and went on to require enhanced support throughout school. This may suggest that ASD is could act as a clinical indicator to offer...
Association between Free Sugars Intake and Excessive Daytime Sleepiness among Chinese Adolescents
Source : https://www.mdpi.com/2072-6643/13/11/3959/htm
This study aimed to investigate the prevalence of excessive daytime sleepiness (EDS) and explore the association between free sugars intake and EDS. In this cross-sectional study, a total of 1517...
An exceeded free sugars intake was positively associated with EDS, with the adjusted Odds Ratio (OR) with its 95% Confident Interval (95% CI) of 1.366 (1.060~1.761, p
Application of Machine Learning to Sleep Stage Classification
Source : https://arxiv.org/abs/2111.03085
Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mechanisms contributing to psychopathology. Most often, investigators manually classify the polysomnography into vigilance states, which is time-consuming,...
These methodologies have achieved accuracies ranging from approximately 74% to approximately 96%. Most notably, the Random Forest and the ANN achieved remarkable accuracies of 95.78% and 93.31%, respectively. Here we have shown the potential of various machine learning classifiers to automatically, accurately, and reliably classify vigilance...