Background Excessive 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 o...Background Excessive 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. Methods The 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. Results As 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%. Conclusion The ESS score moderately correlates with MSL and our ROC study supports ESS as a screening strategy for assessing EDS in OSAHS.展开更多
基金This study was supported by grants fi-om the National Natural Science Foundation of China （NSFC） （No. 81170070, No. 81270147）, and from the Scientific Research Foundation of the Chinese Ministry of Health （No. W2012w4）.
文摘Background Excessive 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. Methods The 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. Results As 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%. Conclusion The ESS score moderately correlates with MSL and our ROC study supports ESS as a screening strategy for assessing EDS in OSAHS.
