Excessive daytime sleepiness in sleep disorders

Excessive daytime sleepiness is a significant public health problem, with prevalence in the community estimated to be as high as 18%. Sleepiness is caused by abnormal sleep quantity or sleep quality. Amongst others, multiple neurological, psychological, cardiac and pulmonary disorders may contribute. Risk factors for excessive sleepiness include obesity, depression, extremes of age and insufficient sleep. In the clinical setting, two of the most commonly encountered causes are obstructive sleep apnoea and periodic limb movement disorder. There is continuing discussion of the mechanisms by which these disorders cause daytime symptoms, with intermittent nocturnal hypoxia, sleep fragmentation and autonomic dysregulation identified as important factors. The increased prevalence of obstructive sleep apnoea in obese subjects does not fully account for the increased rates of daytime sleepiness in this population and there is evidence to suggest that it is caused by metabolic factors and chronic inflammation in obese individuals. Sleepiness is also more common in those reporting symptoms of depression or anxiety disorders and significantly impacts their quality of life. Clinicians should be aware of factors which put their patients at high risk of daytime sleepiness, as it is a debilitating and potentially dangerous symptom with medico-legal implications. Treatment option should address underlying contributors and promote sleep quantity and sleep quality by ensuring good sleep hygiene. However, stimulant medication may be indicated in some cases to allow for more normal daytime functioning.KEY WORDS : Sleep, sleep apnoea, obstructive, nocturnal myoclonus syndrome, obesity, depression     

Excessive daytime sleepiness among rural residents in Saskatchewan

BACKGROUND:

Obstructive sleep apnea (OSA) is a common diagnosis in clinical practice. Excessive daytime sleepiness may be a warning for possible OSA.

OBJECTIVES:

To assess the prevalence of excessive daytime sleepiness as measured by the Epworth Sleepiness Scale (ESS) in a rural community population; potential risk factors for OSA were also assessed.

METHODS:

In 2010, a baseline respiratory health questionnaire within the Saskatchewan Rural Health Study was mailed to 11,982 households in Saskatchewan. A total of 7597 adults within the 4624 (42%) respondent households completed the ESS questionnaire. Participants were categorized according to normal or high (>10) ESS scores. Data obtained included respiratory symptoms, doctor-diagnosed sleep apnea, snoring, hypertension, smoking and demographics. Body mass index was calculated. Multivariable logistic regression analysis examined associations between high ESS scores and possible risk factors. Generalized estimating equations accounted for the two-tiered sampling procedure of the study design.

RESULTS:

The mean age of respondents was 55.0 years and 49.2% were male. The prevalence of ESS>10 and ‘doctor diagnosed’ OSA were 15.9% and 6.0%, respectively. Approximately 23% of respondents reported loud snoring and 30% had a body mass index >30 kg/m². Of those with ‘doctor-diagnosed’ OSA, 37.7% reported ESS>10 (P<0.0001) and 47.7% reported loud snoring (P<0.0001). Risk of having an ESS>10 score increased with age, male sex, obesity, lower socioeconomic status, marriage, loud snoring and doctor-diagnosed sinus trouble.

CONCLUSIONS:

High levels of excessive daytime sleepiness in this particular rural population are common and men >55 years of age are at highest risk. Examination of reasons for residual sleepiness and snoring in persons with and without sleep apnea is warranted.     

Excessive daytime sleepiness in narcolepsy and central nervous system hypersomnias

Sleep and Breathing - Excessive daytime sleepiness (EDS) is the core complaint of central nervous system (CNS) hypersomnias. In this mini-review, we summarized EDS features in CNS hypersomnias to...     

Excessive daytime sleepiness and narcolepsy--an approach to investigation and management

Excessive daytime sleepiness is a common presentation to physicians both in general practice and hospital settings. In this review, we provide an update on the latest theories on the pathogenesis of the condition, and discuss the approach to investigation of the sleepy patient, with particular reference to narcolepsy. Recommended therapy is reviewed for both narcolepsy and cataplexy, to provide physicians with an important reference on the investigation and management of these troubling conditions.     

Excessive daytime sleepiness and hepatic encephalopathy: it is worth asking

The relationship between hepatic encephalopathy (HE) and the sleep-wake disturbances exhibited by patients with cirrhosis remains debated. The aim of this study was to examine the usefulness of sleep-wake interview within the context of HE assessment. One-hundred-and-six cirrhotic patients were asked three yes/no questions investigating the presence of difficulty falling asleep, night awakenings and daytime sleepiness. All underwent formal HE assessment, quantitative electroencephalography and standardised psychometry. Fifty-eight were monitored for 8?±?6 months in relation to the occurrence of HE. Patients complaining of daytime sleepiness (n?=?75, 71 %) had slower EEGs than those who did not report it (relative alpha power: 37?±?19 vs. 48?±?17 %, p?<?0.05). In addition, daytime sleepiness was associated with the presence of portal-systemic shunt (79 vs. 57 %, p?<?0.05) and HE history (72 vs. 45 %, p?<?0.05). Finally, the absence of excessive daytime sleepiness had a Negative Predictive Value of 92 % (64–100) in relation to the development of HE during the follow-up period. These data support the appropriateness of adding a yes/no question on the presence of excessive daytime sleepiness to routine assessment of patients with cirrhosis, to help identify those who do not need further, formal HE screening.     

Excessive daytime sleepiness in obstructive sleep apnea: implications for driving licenses

Sleep and Breathing - Excessive daytime sleepiness (EDS) while driving is a major international public health issue resulting in a more than doubled risk of motor vehicle accidents (MVAs)....     

阻塞性睡眠呼吸暂停低通气综合征白天嗜睡机制的研究现状

白天嗜睡是阻塞性睡眠呼吸暂停低通气综合征(OSAHS)特征性的症状之一,其危害性大.白天嗜睡最主要的评价方法是Epworth嗜睡量表和多次睡眠潜伏期试验.OSAHS患者白天嗜睡的发生机制未明,但可能主要与睡眠片段化、夜间缺氧、肿瘤坏死因子及P物质等因素有关.     

The relationship of glucose tolerance to sleep disorders and daytime sleepiness

The purpose of the study was to find out if snoring, sleep apnea and daytime sleepiness are independent indices of obesity related to type two diabetes (T2D), and whether depression is independently associated with features of sleep apnea. A population-based cohort study was conducted among 593 subjects (245 men and 348 women) born in 1935 and living in Oulu in 1996-1998. Glucose status was determined with a standard 2h oral glucose tolerance test, and sleeping disorders were recorded on the Epworth sleepiness scale (ESS) and in a questionnaire of five questions about sleeping and snoring. Depression was measured by the Zung self-rated depression scale. Insulin sensitivity was measured by quantitative insulin sensitivity check index. Habitual snoring was more common in diabetic subjects than in subjects with impaired glucose regulation (IGR) or normal glucose tolerance (NGT). All sleep disorders associated with neck circumference, waist circumference and body mass index (BMI). There was also a relationship between impaired insulin sensitivity and habitual snoring in bivariate analysis. In multiple logistic regression analysis, depression associated independently with daytime sleepiness (OR 3.00, 95% CI 1.40-6.46). Type 2 diabetes (T2D) (OR 1.93, 95% CI 1.04-3.57) and smoking (OR 1.69, 95% CI 1.00-2.84) associated independently with habitual snoring. BMI (OR 1.20, 95% CI 1.09-1.34) and male gender (OR 2.61, 95% CI 1.05-6.72) associated independently with sleep apnea. In a multiple regression model, BMI, neck circumference and habitual snoring associated independently with T2D. Habitual snoring was associated with T2D and impaired insulin sensitivity. Daytime sleepiness seemed to be linked with depression but not with using sleep medication, IGR and T2D.     

Sleep-related breathing disorders, loud snoring and excessive daytime sleepiness in obese subjects

OBJECTIVE: To investigate the prevalence of sleep breathing disorders, loud snoring and excessive daytime sleepiness in a group of obese subjects, and to identify the predictors of obstructive sleep apnea (OSA) severity in these patients. SUBJECTS: A total of 161 consecutive obese patients (body mass index (BMI)> or =30.0 kg/m(2)), ranging between 30.0 and 67.3, represented by 57 men and 104 women, aged 16-75 y. Forty (15 men and 25 women) age-matched (20-70 y) nonobese (BMI<27 kg/m(2)) volunteers were also recruited for the study. MEASUREMENTS: Respiratory function parameters, nocturnal sleep quality (evaluated by a specific questionnaire), nocturnal hypoventilation and OSA (evaluated by night polysomnography) were examined in all subjects. Anthropometric parameters (neck circumference, waist circumference, waist-to-hip ratio) were also investigated. RESULTS: Eighty-three obese patients (51.5% of the obese group) had a respiratory disturbance index (RDI)> or =10, corresponding to a moderate or severe sleep apnea. In particular, 24.8% (40/161), ie a quarter of all obese patients, were affected by severe OSA and this alteration was present in 42.1% of obese men (24/57) and in 15.4% (16/104) of obese women. When a stepwise multiple regression analysis was performed, neck circumference in men and BMI in women were shown to be the strongest predictors of sleep apnea. Twenty-nine percent of all obese subjects (40.3% of men and 23.1% of women) showed nocturnal hypoventilation; however, it was present as a unique breathing alteration in only 5% of the obese population. The percentage of patients having excessive daytime sleepiness was significantly higher than in nonobese subjects, even when only nonapneic obese patients were considered (P<0.001). CONCLUSION: This study shows that OSA is present in more than 50% of a population of obese patients with a mean BMI higher than 40.0, this percentage being much higher than that commonly reported in previous studies, particularly in women. Neck circumference in men and BMI in women seem to be the strongest predictors of the severity of OSA in obese patients. Nocturnal hypoventilation seems to be present in more than 29% of a severe obese population. Moreover, this study indicates that morbid obesity can be associated with excessive daytime sleepiness even in the absence of sleep apnea.     

Predictors of objective level of daytime sleepiness in patients with sleep-related breathing disorders

Excessive daytime sleepiness, the most prevalent symptom associated with the OSAS, is hypothesized to result from either fragmentation of sleep or hypoxemia during sleep. Measures of nocturnal sleep, respiration during sleep, and daytime sleepiness in 466 patients with apnea were collected to evaluate these two hypotheses. The various parameters were submitted to correlation and multiple regression analyses to predict daytime sleepiness as measured by the MSLT. The RAI, which measures the number of arousals from sleep associated with respiratory disturbances (best fragmentation correlation), produced a higher correlation with MSLT scores than did TMES (best hypoxemia correlation); however, the measures were highly intercorrelated, and multiple regression analyses to determine which parameters independently predicted MSLT showed the single best predictor to be the RAI. Additional independent variance in MSLT score was explained by TST and PSG1. Measures of hypoxemia provided little or no independent predictive information. These data support the hypothesis that sleep fragmentation is an important determinant of daytime sleepiness in patients with apnea.     

Evaluation of daytime sleepiness.

In summary, the evaluation of the tired patient requires an awareness of the various meanings of tiredness. Furthermore, it is important to differentiate normal sleepiness that is a product of circadian rhythm variation in vigilance from pathologic sleepiness. Sleepiness that results from faulty habits, e.g., altered sleep scheduling, drugs, or sleep restriction, can be readily discerned with the aid of a sleep-wake diary. Because subjective sleepiness is often unappreciated, especially in patients with sleep apnea, methods that rely on self-ratings of the severity of sleepiness, e.g., visual analogue scale, 10-cm line, or SSS may not coincide with performance tasks, observer assessments, or such physiologic methods as the MSLT. Less commonly employed neurophysiologic methods include pupillometry and averaged evoked potentials. On the other hand, the MSLT is commonly used for the detection of physiologic sleepiness. Moreover, it is helpful in evaluating response to treatment. A variation of the MSLT, the MWT, which instructs the individual to remain awake, does not discriminate between sleep onset times for wakefulness and the MSLT for sleepiness in normal subjects. The MWT may be useful for the assessment of treatment responses for excessive daytime sleepiness, e.g., narcolepsy, and for determining the frequency of daytime sleep episodes. The differences that have been observed between behavioral measures and physiologic measures of sleepiness suggest that these techniques assess different aspects of sleepiness. HLA typing (DR2, DQw1) has been shown to be a useful method for corroborating narcolepsy-cataplexy, but the antigens are neither specific for the disorder nor for sleepiness alone.     

Excessive daytime sleepiness in late pregnancy may not always be normal: results from a cross-sectional study

Purpose

Many changes that normally occur during pregnancy disrupt sleep and may lead to excessive daytime sleepiness (EDS). However, given that pregnancy may also predispose to the development of sleep-disordered breathing (SDB), we sought to investigate whether EDS may be associated with snoring, gasping, or apneas, further suggesting SDB.

Methods

A cross-sectional survey of women in the immediate postpartum period was conducted. Participants answered questions from the multivariable apnea prediction index regarding snoring, gasping, and witnessed apneas in the last 3 months of pregnancy. Participants were also asked to answer Epworth Sleepiness Scale (ESS) questions, and a score 0–24 was calculated (>10 considered abnormal). Medical history and medication use were obtained both by history and review of the medical record.

Results

Out of 1,000 women recruited, 990 women answered the ESS questionnaire completely. Mean prepregnancy body mass index (BMI) was 26.1?±?6.2 with 21.7 % of the sample having a prepregnancy BMI ≥30. Mean ESS score was 7.1?±?3.9, and 1.7 % of the total sample scored 16 or greater. ESS increased significantly with age, BMI, and neck circumference. All three symptoms of SDB were associated with higher mean ESS scores. In a multiple linear regression analysis, loud snoring, gasping, and apneas were statistically significant independent predictors of mean ESS score.

Conclusions

EDS measured by ESS is a common finding in pregnancy. Snoring, gasping, and apneas appear to be independent predictors of mean ESS scores.     

Excessive daytime sleepiness in general hospital nurses: prevalence,correlates, and its association with adverse events

Sleep and Breathing - To investigate the prevalence and correlates of excessive daytime sleepiness (EDS) in a population of hospital nurses in South China as well as the influence of EDS on the...     

Is waking electroencephalographic activity a predictor of daytime sleepiness in sleep-related breathing disorders?

No data are available in the literature assessing the potential use of waking electroencephalographic (EEG) activity in the detection of excessive daytime sleepiness (EDS) in patients with sleep-related breathing disorders (SRBD). The aim of this study was to evaluate whether waking EEG spectral power reflects the level of EDS in SRBD patients. The study was performed in 48 patients in whom quantitative EEG analysis, including the alpha attenuation coefficient (AAC), was performed. Sleepiness was assessed by the Epworth Sleepiness Scale, the Stanford Sleepiness Scale, the Visual Analogue Scale and the maintenance of wakefulness test. Although AAC and EEG spectral power tended to vary throughout the day, none of these variations correlated with EDS measures. Waking EEG measures were not different between snorers and apnoeic patients. Compared to nonsleepy patients, sleepy patients had greater theta and slow alpha powers, but the differences did not reach statistical significance. The EEG slowing was independent of hypoxaemia, severity of SRBD, or degree of sleep disruption. The authors conclude that waking electroencephalographic measures are not sensitive enough to predict variation in alertness or to differentiate sleepy from nonsleepy sleep-related breathing disorders patients. The degree of electroencephalographic slowing was related neither to sleep disruption nor to severity of sleep-related breathing disorders.     

Determinants of daytime sleepiness in obstructive sleep apnea

To investigate determinants of daytime sleepiness in obstructive sleep apnea syndrome (OSAS), we studied 100 unselected OSAS patients by nocturnal polygraphic recording and the Multiple Sleep Latency Test (MSLT). Data obtained were submitted to three types of analysis. Respiratory disturbance index, oxygen saturation indices, body mass index, and total nocturnal sleep time did not significantly correlate with daytime sleepiness, as measured by the MSLT. Analysis of subgroups based on weight and degree of alertness also showed a nonsignificant correlation with daytime sleepiness. The best predictor of the excessive daytime sleepiness (EDS) frequently found in OSAS patients was the nocturnal polygraphic recording of the sleep disturbances and sleep structure anomalies that reflect the brain's overall dysfunction in OSAS. Understanding why an electroencephalogram arousal response occurs during sleep in association with abnormal breathing and how this response can become blunted may help us to better predict the development of EDS.     

Sleep apnea and daytime sleepiness and fatigue: relation to visceral obesity, insulin resistance, and hypercytokinemia

Sleep apnea and associated daytime sleepiness and fatigue are common manifestations of mainly obese middle-aged men. The onset of sleep apnea peaks in middle age, and its morbid and mortal sequelae include complications from accidents and cardiovascular events. The pathophysiology of sleep apnea remains obscure. The purpose of this study was to test three separate, albeit closely related, hypotheses. 1) Does sleep apnea contribute to the previously reported changes of plasma cytokine (tumor necrosis factor-alpha and interleukin-6) and leptin levels independently of obesity? 2) Among obese patients, is it generalized or visceral obesity that predisposes to sleep apnea? 3) Is apnea a factor independent from obesity in the development of insulin resistance? Obese middle-aged men with sleep apnea were first compared with nonapneic age- and body mass index (BMI)-matched obese and age-matched lean men. All subjects were monitored in the sleep laboratory for 4 consecutive nights. We obtained simultaneous indexes of sleep, sleep stages, and sleep apnea, including apnea/hypopnea index and percent minimum oxygen saturation. The sleep apneic men had higher plasma concentrations of the adipose tissue-derived hormone, leptin, and of the inflammatory, fatigue-causing, and insulin resistance-producing cytokines tumor necrosis factor-alpha and interleukin-6 than nonapneic obese men, who had intermediate values, or lean men, who had the lowest values. Because these findings suggested that sleep apneics might have a higher degree of insulin resistance than the BMI-matched controls, we studied groups of sleep-apneic obese and age- and BMI-matched nonapneic controls in whom we obtained computed tomographic scan measures of total, sc, and visceral abdominal fat, and additional biochemical indexes of insulin resistance, including fasting plasma glucose and insulin. The sleep apnea patients had a significantly greater amount of visceral fat compared to obese controls (<0.05) and indexes of sleep disordered breathing were positively correlated with visceral fat, but not with BMI or total or sc fat. Furthermore, the biochemical data confirmed a higher degree of insulin resistance in the group of apneics than in BMI-matched nonapneic controls. We conclude that there is a strong independent association among sleep apnea, visceral obesity, insulin resistance and hypercytokinemia, which may contribute to the pathological manifestations and somatic sequelae of this condition.