Correlation between Epworth Sleepiness Score and Polysomnographic Indices in Sleep Related Breathing Disorders
Journal Title: Journal of Medical Science And clinical Research - Year 2014, Vol 2, Issue 8
Abstract
Background: Sleep disordered breathing is a common disorder affecting the general population carrying significant functional and physiological consequences. Excessive daytime sleepiness (EDS) is a cardinal symptom of Obstructive sleep apnea (OSA) and in many; it is the presenting symptom also. Although many objective scales are used to assess EDS, Epworth sleepiness scale (ESS) is the most popular method to quantify daytime hypersomnolence.This study is undertaken to find out the correlation between ESS Score and the polysomnographic indices and to evaluate the scientific basis in the prediction of OSA. Materials and methods: A total of 85 subjects were included in the study. Symptoms suggestive of OSA were sought in a structured interview. They were asked to fill up the ESS questionnaire in the presence of their partner. A complete physical examination and anthropometry followed by overnight polysomnography (OPS) were done in all patients. ESS score of more than 10 was taken as significant. OSA was diagnosed based on American Academy of Sleep Medicine (AASM) criteria.Statstical analysis was done using EPI INFO statistical software. Results: ESS score showed positive correlation with all three major polysomnograhic indices namely ApneaHypopnea Index (AHI), Desaturation Index (DI) and Snore Index (SI).Linear regression showed that ESS is independently predicted by both AHI and SI. Conclusions: We may conclude that both Apnea –Hyponea index and Snore index can independently predict ESS.Hence a positive ESS score cannot differentiate between Obstructive sleep apnea and Primary snoring. ESS should not be used as a sole screening parameter for sleep apnea but we have to look into other clinical predictors also.
Authors and Affiliations
Dr Sethu Babu
Keywords
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