Alterations in Glucose Disposal in Sleep-disordered Breathing

Obstructive sleep apnea: role in the risk and severity of diabetes

Obstructive sleep apnea (OSA) is a treatable sleep disorder that is pervasive among overweight and obese individuals. Current evidence supports a robust association between OSA and insulin resistance, glucose intolerance and the risk of type 2 diabetes, independent of obesity. Up to 83% of patients with type 2 diabetes suffer from unrecognized OSA and increasing severity of OSA is independently associated with poorer glucose control. Evidence from animal and human models that mimic OSA supports a potential causal role for OSA in altered glucose metabolism. Robust prospective and randomized clinical trials are still needed to test the hypothesis that effective treatment of OSA may prevent the development of type 2 diabetes and its complications, or reduce its severity. Type 2 diabetes is occurring at alarming rates worldwide and despite available treatment options, the economic and public health burden of this epidemic remains enormous. OSA might represent a novel, modifiable risk factor for the development of prediabetes and type 2 diabetes.

Metabolic consequences of intermittent hypoxia: relevance to obstructive sleep apnea

Obstructive sleep apnea (OSA) is recurrent obstruction of the upper airway leading to sleep fragmentation and intermittent hypoxia (IH) during sleep. There is growing evidence from animal models of OSA that IH is independently associated with metabolic dysfunction, including dyslipidemia and insulin resistance. The precise mechanisms by which IH induces metabolic disturbances are not fully understood. Over the last decade, several groups of investigators developed a rodent model of IH, which emulates the oxyhemoglobin profile in human OSA. In the mouse model, IH induces dyslipidemia, insulin resistance and pancreatic endocrine dysfunction, similar to those observed in human OSA. Recent reports provided new insights in possible mechanisms by which IH affects lipid and glucose metabolism. IH may induce dyslipidemia by up-regulating lipid biosynthesis in the liver, increasing adipose tissue lipolysis with subsequent free fatty acid flux to the liver, and inhibiting lipoprotein clearance. IH may affect glucose metabolism by inducing sympathetic activation, increasing systemic inflammation, increasing counter-regulatory hormones and fatty acids, and causing direct pancreatic beta-cell injury. IH models of OSA have improved our understanding of the metabolic impact of OSA, but further studies are needed before we can translate recent basic research findings to clinical practice.

Disorders of glucose metabolism in sleep-disordered breathing

Despite proliferating literature, the exact relationship between obstructive sleep apnea (OSA) and alterations in glucose metabolism is still controversial. There is growing evidence to suggest that OSA imposes adverse effects on glucose metabolism, but the translation into clinical effect is not well delineated. Many potential mechanisms are being explored, mostly relating to peripheral tissue response to insulin and more recently regarding pancreatic beta cell function of insulin secretion. The effect of OSA on glucose metabolism is likely to be influenced by many personal characteristics. Age, degree of adiposity, lifestyle, comorbidities, and even the stage of glucose disorder itself may modify the relationship between OSA and glucose metabolism. In the biologic system of the human body, all these interact to culminate in clinically relevant outcomes.

Prevalence and recognition of obstructive sleep apnea in Chinese patients with type 2 diabetes mellitus

BACKGROUND

Obstructive sleep apnea (OSA) is associated with disorders of glucose metabolism. Previous studies revealed a high prevalence of OSA among subjects with type 2 diabetes mellitus (DM). The aims of this study were to determine the prevalence of OSA and associated clinical factors in Chinese patients with DM.

METHODS

All records of the DM clinic at a teaching hospital in Hong Kong were screened between January 2007 and June 2008. Inclusion criteria for patients were Chinese, aged 18 to 75 years, with type 2 DM. Patients with unstable medical illnesses, gestational diabetes, or on renal replacement therapy were excluded.

RESULTS

Of 3,489 records screened, 1,859 subjects were eligible. A random sample of 663 (mean age, 58.2 ± 10.8; mean BMI, 26.0 ± 4.6), except six with known OSA, were invited for polysomnography (PSG). Of 165 subjects on which PSG was performed, OSA was diagnosed (apnea-hypopnea index [AHI] ≥ 5.0/h) in 89 subjects (53.9%, median Epworth Sleepiness Scale, 6 [interquartile range 3, 10]). Fifty-four (32.7%) had moderate/severe OSA (AHI ≥ 15/h). The estimated OSA prevalence in this diabetic cohort was 17.5% (24.7% in men, 10.3% in women). Regression analysis identified that AHI was associated independently with higher BMI, advanced age, male sex, and higher diastolic BP (R(2) = 29.6%). The adjusted OR of requiring three or more antihypertensive drugs in moderate/severe OSA was 2.48 (95% CI, 1.05-5.87). No association between glycemic control (HbA1c) and sleep was identified.

CONCLUSIONS

In conclusion, OSA is more prevalent in Chinese adults with DM than in the general population. A high index of suspicion for OSA in patients with DM is warranted, because they may not have overt daytime sleepiness.

Obstructive sleep apnea and the metabolic syndrome

Obstructive sleep apnea (OSA) and the metabolic syndrome have a strong association with each other owing to their common feature of obesity, but an association independent of obesity has been demonstrated in several studies. There is also evidence, of varying strengths, from epidemiologic and clinical studies, for the independent association between OSA and individual core components of the metabolic syndrome, including hypertension, insulin resistance and dyslipidemia. To date, the data are strongest for hypertension, while data for adverse glucose or lipid metabolism are more controversial. Obesity and other factors, such as alcohol drinking and smoking, obviously pose major confounding hurdles to the clarification of the causal or aggravational role of OSA on cardiometabolic risks. Recurrent episodes of obstructed breathing notably result in intermittent hypoxemia and sleep fragmentation, and these may in turn lead to many adverse body responses, including sympathetic activation, neurohumeral changes and inflammation, which are the seeds for cardiometabolic dysfunctions, such as atherosclerosis and diabetes mellitus. Evidence from translational studies or animal/cell work are forthcoming in the delineation of these pathogenetic mechanisms.

Considering a frame of reference for physical activity research related to the cardiometabolic risk profile in schizophrenia

This article reviews evidence that researchers and mental health service providers need to take into account four modifiable factors that affect the prevalence of the metabolic syndrome in people with schizophrenia: (a) physical activity as part of a health-related lifestyle, (b) physical fitness, (c) mental health status and (d) antipsychotic medication. The implementation of physical activity in order to prevent and treat cardiometabolic risk factors in people with schizophrenia is discussed. English language articles published until July 2009 were identified by PubMed, CINAHL, PsychINFO, and Cochrane Central Register of Controlled Trials. The search terms schizophrenia and metabolic syndrome, physical activity, health, fitness, and lifestyle were used. Physical activity interventions result in positive effects on metabolic outcomes, physical fitness, health-related behavior and mental health. Considering present knowledge, physical therapists should take into account the emotional (negative symptoms, self-esteem, self-efficacy, and stress) and physiological (cardiometabolic parameters) components of mental illness when offering physical activity interventions. The physical activity stimulus should be adapted to the individual's physical fitness level and the side effects of the antipsychotic medications. More research is needed to assist in the practical development of effective evidence-based preventive and curative strategies in psychiatric services for metabolic syndrome in persons with schizophrenia.

Associations of PM10 with sleep and sleep-disordered breathing in adults from seven U.S. urban areas

RATIONALE

Sleep-disordered breathing (SDB), the recurrent episodic disruption of normal breathing during sleep, affects as much as 17% of U.S. adults, and may be more prevalent in poor urban environments. SDB and air pollution have been linked to increased cardiovascular diseases and mortality, but the association between pollution and SDB is poorly understood.

OBJECTIVES

We used data from the Sleep Heart Health Study (SHHS), a U.S. multicenter cohort study assessing cardiovascular and other consequences of SDB, to examine whether particulate air matter less than 10 μm in aerodynamic diameter (PM(10)) was associated with SDB among persons 39 years of age and older.

METHODS

Using baseline data from SHHS urban sites, outcomes included the following: the respiratory disturbance index (RDI); percentage of sleep time at less than 90% O(2) saturation; and sleep efficiency, measured by overnight in-home polysomnography. We applied a fixed-effect model containing a city effect, controlling for potential predictors. In all models we included both the 365-day moving averages of PM(10) and temperature (long-term effects) and the differences between the daily measures of these two predictors and their 365-day average (short-term effects).

MEASUREMENTS AND MAIN RESULTS

In summer, increases in RDI or percentage of sleep time at less than 90% O(2) saturation, and decreases in sleep efficiency, were all associated with increases in short-term variation in PM(10). Over all seasons, we found that increased RDI was associated with an 11.5% (95% confidence interval: 1.96, 22.01) increase per interquartile range increase (25.5°F) in temperature.

CONCLUSIONS

Reduction in air pollution exposure may decrease the severity of SDB and nocturnal hypoxemia and may improve cardiac risk.

High baseline insulin levels associated with 6-year incident observed sleep apnea

OBJECTIVE

Obstructive sleep apnea is common in patients with type 2 diabetes, and its association with insulin and insulin resistance has been examined in cross-sectional studies. We evaluate risk factors for incident observed sleep apnea in a general population not selected for sleep disturbances.

RESEARCH DESIGN AND METHODS

A total of 1,780 men and 1,785 women, aged 33 to 68 years, from the cohort Data from an Epidemiologic Study on the Insulin Resistance Syndrome (D.E.S.I.R.) responded to the question, "Has someone said to you that you stop breathing during your sleep?" at baseline and 6 years. Anthropometric, clinical, and biological factors were recorded at both time points.

RESULTS

At baseline, 14% of men and 7% of women reported having observed sleep apnea (positive response to question); 6-year incidences were 14 and 6%, respectively. Age, anthropometric parameters, blood pressure, and sleep characteristics were all associated with prevalent, observed apnea episodes, in both sexes. Baseline waist circumference was the strongest predictor of incident apnea: standardized odds ratio (OR), adjusted for age and sex, 1.34 (95% CI 1.19-1.52). After adjustment for age, sex, and waist circumference, the standardized ORs for incident observed apnea were identical for fasting insulin and the homeostasis model assessment of insulin resistance: 1.31 (1.13-1.51) and 1.24 (1.09-1.41) for triglycerides and 1.52 (1.12-2.05) for smoking. Observed apnea at baseline was not associated with changes in anthropometric or biological parameters over the 6-year follow-up.

CONCLUSIONS

The most important baseline risk factor for incident apnea was adiposity. After accounting for adiposity, other risk factors were high insulin, insulin resistance, high triglycerides, and smoking, factors amenable to lifestyle intervention.

Sleep-disordered breathing and obesity: pathophysiology, complications, and treatment

Sleep-disordered breathing (SDB) is a medical condition that has increasingly recognized adverse health effects. Obesity is the primary risk factor for the development of SDB and contributes to cardiovascular and metabolic abnormalities in this population. However, accumulating evidence suggests that SDB may be related to the development of these abnormalities independent of obesity. Periodic apneas and hypopneas during sleep result in intermittent hypoxemia, arousals, and sleep disturbances. These pathophysiologic characteristics of SDB are likely mechanisms underlying cardiovascular and metabolic abnormalities including hypertension and other cardiovascular diseases, altered adipokines, inflammatory cytokines, insulin resistance, and glucose intolerance. Treatment of SDB with continuous positive airway pressure reverses some but not all of these abnormalities; however, studies to date have demonstrated inconsistent findings. Weight loss strategies, including diet, exercise, medications, and bariatric surgery, have been evaluated as a treatment strategy for SDB. In preliminary studies, dietary intervention and exercise reduced severity of SDB. One study demonstrated improvements in SDB severity using the weight-reducing medication sibutramine. In morbidly obese subjects, bariatric surgery effectively induces weight loss and improvement in SDB severity and symptoms, but long-term benefits remain uncertain. Large randomized trials are required to determine the utility of these strategies as long-term approaches to improving SDB and reducing associated complications.

Do sleep disorders and associated treatments impact glucose metabolism?

Over the past decade substantial evidence has accumulated implicating disorders of sleep in the pathogenesis of various metabolic abnormalities. This review, which is based on workshop discussions that took place at the 6th annual meeting of the International Sleep Disorders Forum: The Art of Good Sleep 2008 and a systematic literature search, provides a critical analysis of the available evidence implicating sleep disorders such as obstructive sleep apnoea (OSA), insomnia, short or long-term sleep duration and restless legs syndrome as potential risk factors for insulin resistance, glucose intolerance, type 2 diabetes mellitus and the metabolic syndrome. The review also highlights the evidence on whether treatment of specific sleep disorders can decrease metabolic risk. In total, 83 published reports were selected for inclusion. Although several studies show clear associations between sleep disorders and altered glucose metabolism, causal effects and the underlying pathophysiological mechanisms involved have not been fully elucidated. OSA appears to have the strongest association with insulin resistance, glucose intolerance, type 2 diabetes and the metabolic syndrome. There are, however, limited data supporting the hypothesis that effective treatment of sleep disorders, including OSA, has a favourable effect on glucose metabolism. Large randomized trials are thus required to address whether improvement of sleep quality and quantity can curtail excess metabolic risk. Research is also required to elucidate the mechanisms involved and to determine whether the effects of treatment for sleep disorders on glucose metabolism are dependent on the specific patient factors, the type of disorder and the duration of metabolic dysfunction. In conclusion, there is limited evidence on whether sleep disorders alter glucose metabolism and whether treatment can reduce the excess metabolic risk.

Impact of untreated obstructive sleep apnea on glucose control in type 2 diabetes

RATIONALE

Obstructive sleep apnea (OSA), a treatable sleep disorder that is associated with alterations in glucose metabolism in individuals without diabetes, is a highly prevalent comorbidity of type 2 diabetes. However, it is not known whether the severity of OSA is a predictor of glycemic control in patients with diabetes.

OBJECTIVES

To determine the impact of OSA on hemoglobin A1c (HbA1c), the major clinical indicator of glycemic control, in patients with type 2 diabetes.

METHODS

We performed polysomnography studies and measured HbA1c in 60 consecutive patients with diabetes recruited from outpatient clinics between February 2007 and August 2009.

MEASUREMENTS AND MAIN RESULTS

A total of 77% of patients with diabetes had OSA (apnea-hypopnea index [AHI] > or =5). Increasing OSA severity was associated with poorer glucose control, after controlling for age, sex, race, body mass index, number of diabetes medications, level of exercise, years of diabetes and total sleep time. Compared with patients without OSA, the adjusted mean HbA1c was increased by 1.49% (P = 0.0028) in patients with mild OSA, 1.93% (P = 0.0033) in patients with moderate OSA, and 3.69% (P < 0.0001) in patients with severe OSA (P < 0.0001 for linear trend). Measures of OSA severity, including total AHI (P = 0.004), rapid eye movement AHI (P = 0.005), and the oxygen desaturation index during total and rapid eye movement sleep (P = 0.005 and P = 0.008, respectively) were positively correlated with increasing HbA1c levels.

CONCLUSIONS

In patients with type 2 diabetes, increasing severity of OSA is associated with poorer glucose control, independent of adiposity and other confounders, with effect sizes comparable to those of widely used hypoglycemic drugs.

Obstructive Sleep Apnoea: From pathogenesis to treatment: Current controversies and future directions

Obstructive sleep apnoea (OSA) is a common disease, recognized as an independent risk factor for a range of clinical conditions, such as hypertension, stroke, depression and diabetes. Despite extensive research over the past two decades, the mechanistic links between OSA and other associated clinical conditions, including metabolic disorders and cardiovascular disease, remain unclear. Indeed, the pathogenesis of OSA itself remains incompletely understood. This review provides opinions from a number of leading experts on issues related to OSA and its pathogenesis, interaction with anaesthesia, metabolic consequences and comorbidities, cardiovascular disease, genetics, measurement and diagnosis, surgical treatment and pharmacotherapeutic targets.

Childhood obesity and obstructive sleep apnea syndrome

The increasing prevalence of obesity in children seems to be associated with an increased prevalence of obstructive sleep apnea syndrome (OSAS) in children. Possible pathophysiological mechanisms contributing to this association include the following: adenotonsillar hypertrophy due to increased somatic growth, increased critical airway closing pressure, altered chest wall mechanics, and abnormalities of ventilatory control. However, the details of these mechanisms and their interactions have not been elucidated. In addition, obesity and OSAS are both associated with metabolic syndrome, which is a constellation of features such as hypertension, insulin resistance, dyslipidemia, abdominal obesity, and prothrombotic and proinflammatory states. There is some evidence that OSAS may contribute to the progression of metabolic syndrome with a potential for significant morbidity. The treatment of OSAS in obese children has not been standardized. Adenotonsillectomy is considered the primary intervention followed by continuous positive airway pressure treatment if OSAS persists. Other methods such as oral appliances, surgery, positional therapy, and weight loss may be beneficial for individual subjects. The present review discusses these issues and suggests an approach to the management of obese children with snoring and possible OSAS.

Influence of Hispanic ethnicity in prevalence of diabetes mellitus in sleep apnea and relationship to sleep phase

INTRODUCTION

Recent studies have shown a strong association between insulin resistance, diabetes mellitus, and obstructive sleep apnea (OSA). This association has not been previously reported in the Hispanic population. The objective of this study was to study the prevalence of diabetes in a cohort of Hispanic patients with OSA in comparison with a white cohort.

METHOD

We performed a retrospective chart review of 103 Hispanic patients and 69 white patients with OSA. All patients had undergone full-night baseline polysomnography. We excluded charts of patients who underwent split-night studies and those who did not have rapid eye movement (REM) sleep.

RESULTS

Both groups were well matched in terms of age, gender distribution, and body mass index. The prevalence of self-reported diabetes in Hispanic patients with OSA was 42.71% compared with 24.28% of whites (P = 0.005). A REM apnea hypopnea index (AHI) of > 20 was significantly associated with an increased prevalence of diabetes in the Hispanic population; this association was not seen in the white population.

CONCLUSION

There was a very high prevalence of diabetes in an unselected cohort of Hispanic patients with OSA compared with white patients.

Sleep disordered breathing and metabolic syndrome

BACKGROUND

Sleep disordered breathing (SDB) has been associated with cardiovascular disease, hypertension, and insulin resistance. This article examines the association between SDB and the prevalence of metabolic syndrome (MS) in a community-based sample.

METHODS

A subset of participants in the Wisconsin Sleep Cohort Study (N=546) participated in an ancillary study to measure vascular and metabolic function. SDB was characterized using the apnea-hypopnea index (AHI) obtained in the polysomnography study closest to the collection of the metabolic measures. MS was defined using the National Cholesterol Education Program definition, and the homeostasis model assessment method (HOMA) was used to characterize insulin resistance.

RESULTS

SDB was significantly correlated with insulin resistance (Spearman r correlation between AHI and HOMA=0.30, P<0.0001). Compared with those without SDB (AHI <5), the age-sex-adjusted odds ratios of MS associated with mild (AHA 5-14.9) and moderate/severe SDB (AHI > or = 15 or CPAP) were 4.0 (95% CI 2.6, 6.3) and 5.3 (95% CI 3.2, 8.8), respectively. Additional adjustment for markers of sympathetic or neuroendocrine activation (urinary norepinephrine, cortisol, heart rate variability) did not materially alter these estimates. These associations were weaker but remained statistically significant after adjusting for body mass index.

CONCLUSION

SDB might be considered an integral component of MS.

Effects of sleep fragmentation on glucose metabolism in normal subjects

BACKGROUND

Sleep disorders are increasingly associated with insulin resistance, glucose intolerance, and type 2 diabetes mellitus. Whether the metabolic toll imposed by sleep-related disorders is caused by poor-quality sleep or due to other confounding factors is not known. The objective of this study was to examine whether experimental sleep fragmentation across all sleep stages would alter glucose metabolism, adrenocortical function, and sympathovagal balance.

METHODS

Sleep was experimentally fragmented across all stages in 11 healthy, normal volunteers for two nights using auditory and mechanical stimuli. Primary outcomes included insulin sensitivity (S(I)), glucose effectiveness (S(G)), and insulin secretion, as determined by the intravenous glucose tolerance test. Secondary outcomes included measures of sympathovagal balance and serum levels of inflammatory markers, adipokines, and cortisol.

RESULTS

Following two nights of sleep fragmentation, S(I) decreased from 5.02 to 3.76 (mU/L)(-1)min(-1) (P < .0001). S(G), which is the ability of glucose to mobilize itself independent of an insulin response, also decreased from 2.73 x 10(-2) min(-1) to 2.16 x 10(-2) min(-1) (P < .01). Sleep fragmentation led to an increase in morning cortisol levels and a shift in sympathovagal balance toward an increase in sympathetic nervous system activity. Markers of systemic inflammation and serum adipokines were unchanged with sleep fragmentation.

CONCLUSIONS

Fragmentation of sleep across all stages is associated with a decrease in S(I) and S(G). Increases in sympathetic nervous system and adrenocortical activity likely mediate the adverse metabolic effects of poor sleep quality.

Effects of poor and short sleep on glucose metabolism and obesity risk

The importance of sleep to hormones and glucose metabolism was first documented more than four decades ago. Since then, sleep curtailment has become an endemic behavior in modern society. In addition, the prevalence of sleep disorders, particularly obstructive sleep apnea (OSA), has increased. OSA is very common in endocrine and metabolic disorders, but often remains undiagnosed. This Review summarizes the laboratory and epidemiologic evidence that suggests how sleep loss, either behavioral or disease-related, and poor quality of sleep might promote the development of obesity and diabetes mellitus, and exacerbate existing endocrine conditions. Treatment of sleep disorders has the potential to improve glucose metabolism and energy balance. Screening for habitual sleep patterns and OSA might be critically important for patients with endocrine and metabolic disorders.

Metabolic consequences of sleep-disordered breathing

There is increasing evidence of a causal relationship between sleep-disordered breathing and metabolic dysfunction. Metabolic syndrome (MetS), a cluster of risk factors that promote atherosclerotic cardiovascular disease, comprises central obesity, insulin resistance, glucose intolerance, dyslipidemia, and hypertension, manifestations of altered total body energy regulation. Excess caloric intake is indisputably the key driver of MetS, but other environmental and genetic factors likely play a role; in particular, obstructive sleep apnea (OSA), characterized by intermittent hypoxia (IH), may induce or exacerbate various aspects of MetS. Clinical studies show that OSA can affect glucose metabolism, cholesterol, inflammatory markers, and nonalcoholic fatty liver disease. Animal models of OSA enable scientists to circumvent confounders such as obesity in clinical studies. In the most widely used model, which involves exposing rodents to IH during their sleep phase, the IH alters circadian glucose homeostasis, impairs muscle carbohydrate uptake, induces hyperlipidemia, and upregulates cholesterol synthesis enzymes. Complicating factors such as obesity or a high-fat diet lead to progressive insulin resistance and liver inflammation, respectively. Mechanisms for these effects are not yet fully understood, but are likely related to energy-conserving adaptations to hypoxia, which is a strong catabolic stressor. Finally, IH may contribute to the morbidity of MetS by inducing inflammation and oxidative stress. Identification of OSA as a potential causative factor in MetS would have immense clinical impact and could improve the management and understanding of both disorders.