Open AccessThe relationship between excessive daytime sleepiness and metabolic syndrome in severe obstructive sleep apnea syndrome
Author(s) -
Huang Jiefeng,
Chen LiDa,
Lin QiChang,
Chen GongPing,
Yu YaoHua,
Huang JianChai,
Zhao JianMing
Publication year - 2016
Publication title -
the clinical respiratory journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.789
H-Index - 33
eISSN - 1752-699X
pISSN - 1752-6981
DOI - 10.1111/crj.12276
Subject(s) - medicine , metabolic syndrome , obstructive sleep apnea , polysomnography , excessive daytime sleepiness , confounding , hypertriglyceridemia , obesity , epworth sleepiness scale , sleep apnea , apnea , cholesterol , sleep disorder , triglyceride , psychiatry , insomnia
Abstract Background Excessive daytime sleepiness ( EDS ), which is commonly considered a cardinal sign of obstructive sleep apnea ( OSA ), may lead to an increased rate of metabolic syndrome ( MetS ), and be an independent risk factor for cardiovascular morbidity and mortality. The aim of this cross‐sectional study was to examine the role of EDS in MetS and its components by researching severe OSA patients. Methods The records of 175 consecutive patients who underwent standard polysomnography and diagnosed severe OSA were included. Subjective daytime sleepiness was assessed using the E pworth sleepiness scale ( ESS ). Fasting glucose, lipids, insulin and polysomnography parameters were measured. A metabolic score was counted as the total number of the positive diagnostic criteria of MetS for each subject, which indicated the level of metabolic disorder. Results The prevalence of central obesity, hypertriglyceridemia, low high density lipoprotein‐cholesterol and MetS (78.2% vs 28.6%) was significantly higher among EDS group compared with control group. Compared with non‐ EDS patients, patients with EDS showed significantly higher metabolic score (3.22 ± 0.94 vs 1.96 ± 1.06). After adjustment for confounders, ESS score, log insulin and age significantly predicted the metabolic score (β = 0.567, P = 0.000; β = 0.197, P = 0.001 and β = 0.118, P = 0.048, respectively). Conclusion EDS was independently correlated with the sum of metabolic components in severe OSA patients. Our study suggested that EDS might be a potentially useful clinical marker to identify patients with severe OSA at risk of MetS .