Correlation of Epworth Sleepiness Scale with multiple sleep latency test and its diagnostic accuracy in assessing excessive daytime sleepiness in patients with obstructive sleep apnea hypopnea syndrome.
- Author:
Si-Jie CAI
1
,
2
;
Rui CHEN
;
Yan-Lin ZHANG
;
Kang-Ping XIONG
;
Yi-Xin LIAN
;
Jie LI
;
Jiu-Cheng SHEN
;
Chun-Feng LIU
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Female; Humans; Male; Middle Aged; Polysomnography; Sleep; physiology; Sleep Apnea, Obstructive; physiopathology; Sleep Stages; physiology
- From: Chinese Medical Journal 2013;126(17):3245-3250
- CountryChina
- Language:English
-
Abstract:
BACKGROUNDExcessive daytime sleepiness (EDS) is often associated with obstructive sleep apnea hypopnea syndrome (OSAHS) and contributes to a number of comorbidities in these patients. Therefore, early detection of EDS is critical in disease management. We examined the association between Epworth Sleepiness Scale (ESS) and multiple sleep latency test (MSLT) and diagnostic accuracy of ESS in assessing EDS in OSAHS patients.
METHODSThe ESS, MSLT and overnight polysomnography were administered to 107 Chinese patients to assess EDS and its correlations with polysomnographic parameters. The diagnostic accuracy of ESS in classifying EDS (mean sleep latency (MSL) ≤ 10 minutes) was evaluated by calculating the area under ROC curve.
RESULTSAs the severity of OSAHS increased, MSL decreased with increase in ESS score. Conversely, patients with worsening EDS (shorter MSL) were characterized by advanced nocturnal hypoxaemia and sleep disruption compared to those with normal MSL, suggesting EDS is associated with more severe OSAHS. There was a negative correlation between ESS score and MSL and both moderately correlated with some polysomnographic nocturnal hypoxaemic parameters. The area under ROC curve of ESS for identifying EDS was 0.80 (95% CI: 0.71 to 0.88) and ESS score ≥ 12 provided the best predictive value with a sensitivity of 80% and specificity of 69%.
CONCLUSIONThe ESS score moderately correlates with MSL and our ROC study supports ESS as a screening strategy for assessing EDS in OSAHS.