Long-term effects of solriamfetol on quality of life in participants with excessive daytime sleepiness associated with narcolepsy or obstructive sleep apnoea

2019 ◽  
Vol 64 ◽  
pp. S241 ◽  
Author(s):  
A. Malhotra ◽  
J.-L. Pepin ◽  
R. Schwab ◽  
C. Shapiro ◽  
J. Hedner ◽  
...  
SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A239-A239 ◽  
Author(s):  
Terri Weaver ◽  
Jean-Louis Pepin ◽  
Richard Schwab ◽  
Colin Shapiro ◽  
Jan Hedner ◽  
...  

2021 ◽  
Author(s):  
M. Janelle Cambron-Mellott ◽  
Sam Mettam ◽  
Vicky W. Li ◽  
John C. Rowland ◽  
JeanPierre Coaquira Castro

Abstract Background: Excessive daytime sleepiness (EDS) is a cardinal symptom of narcolepsy and affects many patients with obstructive sleep apnoea (OSA). EDS is associated with reduced quality of life, increased accident risk, and poor workplace performance. Given the impact of EDS, the ability to predict health-related utility from sleepiness is valuable for examining the cost effectiveness of novel treatments. The aim of this study was to examine the association between EDS and EQ-5D in patients with OSA and/or narcolepsy by modelling EQ-5D utility scores from Epworth Sleepiness Scale (ESS) scores.Methods: Data were obtained from the Europe 2016/2017 National Health and Wellness Survey, an online, general population survey, designed to represent the age and gender composition of each country’s adult population. Analyses included 2,348 patients self-reporting symptomatic and diagnosed OSA (n=2,277), narcolepsy (n=48), or both (n=23). Multivariable models were used to examine ESS as a predictor of EQ-5D utility while adjusting for covariates of interest. Results were validated following the National Institute for Health and Care Excellence Decision Support Unit guidelines for predictive modeling.Results: Utility decreased as EDS severity increased (no EDS: 0.711±0.251, mild: 0.685±0.261, moderate: 0.643±0.268, severe: 0.559±0.323). Whereas participants with only OSA or only narcolepsy did not differ in utility, those with both conditions had lower scores (0.685±0.266 and 0.627±0.325 vs. 0.439±0.340, respectively). Piecewise linear regression identified a single breakpoint at ESS score of 11.29. In the final model, for each point increase in ESS score, the corresponding decrease in EQ-5D utility was larger among patients with ESS scores ≥12 compared to patients with ESS scores ≤11 (model slopes: -0.0131 vs. -0.0026, respectively). Findings from the validation sample confirmed these results.Conclusions: This study demonstrates the impact of sleepiness on quality of life (QoL) and its negative impact irrespective of sleep condition (OSA or narcolepsy). The breakpoint identified is relatively consistent with the established ESS cutoff score ≥11, which demarcates pathological sleepiness. Furthermore, as EDS severity worsens (increases) on the ESS, the impact on QoL is greater.


2019 ◽  
Vol 5 (1) ◽  
pp. e000673
Author(s):  
Pavol Surda ◽  
Matus Putala ◽  
Pavel Siarnik ◽  
Abigail Walker ◽  
Katherine De Rome ◽  
...  

ObjectivesLimited data suggest that swimmers might be affected by poor quality of sleep significantly. The aim was to explore the prevalence of sleep disturbances in swimmers and possible link between rhinitis and sleep disturbance.MethodsStudy 1 was an observational case–control, questionnaire-based study involving 157 elite and non-elite swimmers, 36 non-swimming athletes and 50 controls. In study 2, we measured sleep quality and duration using actigraphy in 20 elite swimmers. We also looked for presence of sleep-disordered breathing using overnight pulse oximetry monitor.ResultsIn study 1, we observed a significant difference in prevalence of excessive daytime sleepiness between groups of elite swimmers and controls. Pittsburgh Sleep Quality Index (PSQI) scores do not suggest that quality of sleep in group of swimmers is impaired. In study 2, we found that prevalence of obstructive sleep apnoea (OSA) in elite swimmers defined as oxygen desaturation index ≥5 was 30%. Analysis of actigraphy data revealed that on nights prior to training days, ‘going to’ bed time was significantly earlier and total sleep time was significantly reduced.ConclusionSwimmers and non-swimming athletes suffer significantly more with excessive daytime sleepiness than healthy controls. In elite swimmers, this is likely linked to high prevalence of OSA. PSQI scores do not suggest that quality of sleep in group of swimmers is impaired, but actigraphy shows great variations between sleep pattern preceding training and rest day. This seems to be associated with early-morning sessions which can be a disruptive element of weekly sleep patterns.


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