Literature DB >> 23391876

Sleepiness in patients with obstructive sleep apnoea - daytime course and impact of nocturnal respiratory events.

Simona Dostalova1, Marek Susta, Tereza Vorlova, Karel Sonka.   

Abstract

BACKGROUND: Obstructive sleep apnoea (OSA) is a condition leading to excessive daytime sleepiness. The aim of the study was a) to study course of daytime sleepiness in patients with OSA and b) to find the most important nocturnal polysomnography parameters influencing daytime sleepiness in OSA.
METHODS: The cohort consisted of forty-five patients (6 women, 39 men) diagnosed with OSA. All patients underwent polysomnography, Multiple Sleep Latency Test (MSLT) and rated subjectively their daytime tendency to sleep with the Epworth Sleepiness Scale.
RESULTS: Sleep latency was significantly longer at 15:00 and at 17:00 hours compared to previous tests. A significant negative correlation was found between the mean of the MSLT sleep latency and a number of awakenings, the apnoea/hypopnoea index and oxygen desaturation index values.
CONCLUSIONS: The study showed the sleep latency prolongation at 15:00 and 17:00 hours respectively and confirmed connection of excessive daytime sleepiness to fragmentation of nocturnal sleep and OSA severity.

Entities:  

Mesh:

Year:  2012        PMID: 23391876

Source DB:  PubMed          Journal:  Neuro Endocrinol Lett        ISSN: 0172-780X            Impact factor:   0.765


  4 in total

1.  Identification of subgroups of chemotherapy patients with distinct sleep disturbance profiles and associated co-occurring symptoms.

Authors:  Maria Tejada; Carol Viele; Kord M Kober; Bruce A Cooper; Steven M Paul; Laura B Dunn; Marilyn J Hammer; Fay Wright; Yvette P Conley; Jon D Levine; Christine Miaskowski
Journal:  Sleep       Date:  2019-10-09       Impact factor: 5.849

Review 2.  Neurological Deficits in Obstructive Sleep Apnea.

Authors:  Luigi Ferini-Strambi; Giulia Elisabetta Lombardi; Sara Marelli; Andrea Galbiati
Journal:  Curr Treat Options Neurol       Date:  2017-04       Impact factor: 3.598

3.  Improved prediction of CPAP failure using T90, age and gender.

Authors:  David Slouka; Monika Honnerova; Petr Hosek; Bretislav Gal; Ondrej Trcka; Tomas Kostlivy; Jana Landsmanova; David Havel; Martina Baneckova; Radek Kucera
Journal:  J Appl Biomed       Date:  2019-01-10       Impact factor: 1.797

4.  Enhancements to the multiple sleep latency test.

Authors:  Sonia Meza-Vargas; Eleni Giannouli; Magdy Younes
Journal:  Nat Sci Sleep       Date:  2016-05-11
  4 in total

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