Excessive daytime sleepiness in obstructive sleep apnea: prevalence, severity, and predictors

Objectives: To assess prevalence, severity, and predictive factors of excessive daytime sleepiness (EDS) in obstructive sleep apnea (OSA) in an Asian population. Methods: A retrospective, cross-sectional study of data from patients diagnosed with OSA over a period of three years and having had overn...

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Vydané v:Sleep medicine Ročník 5; číslo 4; s. 339 - 343
Hlavní autori: Seneviratne, Udaya, Puvanendran, Kathiravelu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Netherlands Elsevier B.V 01.07.2004
Predmet:
Adult
Aged
Cross-Sectional Studies
Disorders of Excessive Somnolence - epidemiology
Disorders of Excessive Somnolence - etiology
Excessive daytime sleepiness
Female
Humans
Male
Middle Aged
Multiple sleep latency test
Obstructive sleep apnea
Polysomnography
Prevalence
Retrospective Studies
Risk Factors
Severity of Illness Index
Singapore
Sleep Apnea, Obstructive - complications
Snoring
Snoring - complications
Singapore
Excessive daytime sleepiness
Multiple sleep latency test
Obstructive sleep apnea
Snoring
ISSN:1389-9457, 1878-5506
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Shrnutí:Objectives: To assess prevalence, severity, and predictive factors of excessive daytime sleepiness (EDS) in obstructive sleep apnea (OSA) in an Asian population. Methods: A retrospective, cross-sectional study of data from patients diagnosed with OSA over a period of three years and having had overnight polysomnography (PSG) followed by daytime multiple sleep latency test (MSLT). Respiratory disturbance index (RDI) was used for diagnosis and assessment of severity. OSA was classified as mild (RDI 5–20), moderate (RDI 20–40), and severe (RDI>40). EDS was objectively assessed using MSLT. According to MSLT, patients were categorized into two groups; EDS (mean sleep latency:MSL<10) and no EDS (MSL>10). PSG, MSLT and demographic data were subjected to univariate and multivariate analyses to ascertain predictive factors of EDS. Results: There were 195 patients comprising 89.4% males and 10.6% females. The severity of OSA was mild in 35.9%, moderate in 27.2%, and severe in 36.9%. EDS was demonstrated in 87.2%. Sleep onset REM periods were detected in the MSLT of 28.2% patients. Univariate analysis demonstrated age, RDI, sleep efficiency, total arousals, arousals with apnea, arousal index, number of desaturations, and severity of snoring as significant predictors of EDS. However, stepwise logistic regression analysis identified only sleep efficiency, total arousals, and severity of snoring as significant predictive factors. Conclusions: OSA causes EDS in the majority of patients. Severe snoring, higher sleep efficiency and increased total arousals in polysomnography seem to predict EDS.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1389-9457
1878-5506
DOI:10.1016/j.sleep.2004.01.021