Sleepiness, fatigue, and risk of obstructive sleep apnea using the STOP-BANG questionnaire in multiple sclerosis: a pilot study

被引:34
作者
Dias, Robert A. [1 ,2 ]
Hardin, Kimberly A. [2 ]
Rose, Heather [3 ]
Agius, Mark A. [1 ]
Apperson, Michelle L. [1 ]
Brass, Steven D. [1 ]
机构
[1] Univ Calif Davis, Med Ctr, Dept Neurol, Sacramento, CA 95817 USA
[2] Dept Pulm Crit Care & Sleep Med, Sacramento, CA 95817 USA
[3] Univ Calif Davis, Sch Educ, Davis, CA 95616 USA
关键词
Obstructive sleep apnea; Multiple sclerosis; Sleepiness; Fatigue; QUALITY-OF-LIFE; BERLIN QUESTIONNAIRE; DEPRESSIVE SYMPTOMS; POPULATION; PREVALENCE; SCALE; DISORDERS; SEVERITY; SCREEN; IMPACT;
D O I
10.1007/s11325-011-0642-6
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
This study aims: (1) to identify patients with multiple sclerosis (MS) who are at high risk for obstructive sleep apnea (OSA) by utilizing the STOP-BANG questionnaire and (2) to evaluate the relationship between OSA risk as determined by the STOP-BANG questionnaire and self-reported sleepiness and fatigue using the Epworth Sleepiness Scale (ESS) and the Fatigue Severity Scale (FSS), respectively. A total of 120 consecutive patients presenting to the UC Davis Neurology MS Clinic were invited to participate in an anonymous survey. The exclusion criteria were: age < 18 years, indefinite MS diagnosis, or incomplete survey. There were 103 subjects included in our study: 42% of subjects (n = 43) met the criteria for high-risk OSA, 69% of subjects (n = 71) screened high for fatigue (FSS a parts per thousand yenaEuro parts per thousand 4), but only 24 subjects (23%) screened high for excessive daytime sleepiness (ESS > 10). In males, 44% of the variation in ESS scores and 63% in FSS scores were explained by the STOP-BANG components. However, only 17% of the variation in ESS scores and 15% of the variation in FSS scores was explained by the STOP-BANG components in females. Over 40% of MS patients were identified as high risk for OSA based on the STOP-BANG questionnaire. The STOP-BANG questionnaire offers clinicians an efficient and objective tool for improving detection of OSA risk in MS patients.
引用
收藏
页码:1255 / 1265
页数:11
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