Obstructive Sleep Apnea: Epidemiology, Risk Factors, and Pathophysiology

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Chapter 60 Obstructive Sleep Apnea

Epidemiology, Risk Factors, and Pathophysiology

Obstructive sleep apnea (OSA) is a disorder characterized by repetitive collapse of the upper airway during sleep, resulting in changes in ventilation and intermittent hypoxemia and arousals, which may result in diurnal sleepiness and may lead to cognitive impairment and cardiovascular morbidity. The OSA syndrome is defined on the basis of recognition of symptoms (especially daytime sleepiness) and the objective measurement of disordered breathing during sleep.

Epidemiology

Although obstructive sleep apnea clearly is a common disorder within the general population, its incidence is hard to establish, because methodologic differences among the various epidemiologic studies have made comparisons difficult. First, different tests have been used to diagnose OSA. Overnight polysomnography (PSG) is considered the “gold standard” diagnostic modality, but assessments have been made using other tests instead, such as unattended in-home PSG or respiratory polygraphy, pulse oximetry, and even clinical questionnaires (see Chapter 61). Second, variability in the definitions of different respiratory events (especially hypopnea) and the apnea-hypopnea index (AHI) cutoff value that defines OSA, or clinically significant OSA, is well recognized. In this sense, the chosen oxyhemoglobin desaturation threshold, typically 3% or 4%, used to define hypopnea can lead to different AHI scores; accordingly, estimates of disease severity will vary. Third, differences in sampling of populations (for example, the percentages of elderly and female subjects included) have been noted. Fourth, disparities in signal processing and a lack of standardization in the quantification of airflow (including thermistor, inductance plethysmography, and nasal cannula–pressure transduction) are common. Finally, the quality of validation of equipment and the conclusions of some studies have been questioned because of methodologic limitations such as small sample sizes or inadequate controls for potential confounding variables.

Apart from these differences, epidemiologic studies have focused on two levels of abnormal sleep quantification: OSA, when defined physiologically as increased obstructive breathing events (apneas or hypopneas) during sleep, usually with an AHI of 5 or more events/hour; and the clinical syndrome (the combination of an AHI of 5 or more events/hour and significant self-reported symptoms, especially daytime sleepiness). The real prevalence of OSA probably is underestimated, because a majority of studies used subjective sleepiness as the sole self-reported symptom for definition, although OSA is well known to be associated with other negative outcomes, such as sleep disruption, deterioration of quality of life, cognitive impairment, or cardiovascular disease, which also should be included in the definition of the syndrome.

Middle-Aged Population

It is estimated that 24% of men and 9% of women have OSA, as defined by an AHI of 5 or greater, and that 15% of men and 5% of women between 30 and 60 years have an AHI of 10 or higher. With use of daytime sleepiness as a clinical syndrome, the prevalence ranges between 3% and 7% in men and 2% and 5% in women in the general population (Box 60-1). Until recently, population-based epidemiologic studies of OSA were available only for North America, Europe, and Australia. However, more recent studies undertaken in other countries, including China, India, and Korea, report similar prevalence rates. The overall incidence of moderate to severe OSA (defined by an AHI of 15 or higher) occurring over a 5-year period is 11% and 5% in men and in women, respectively, which persists even after adjustment for confounding variables. This means that, even in the absence of any weight change, approximately 20% of men and 10% of women will develop moderate to severe OSA in that period of time.

Most population-based studies have found a two- to three-fold higher prevalence of OSA in males than in females. The ratio is even higher for men treated in sleep centers, with reported ratios between 4 : 1 and 8 : 1 or higher. This higher ratio may be the result of multiple factors: Women do not show the “classic” OSA symptomatology—they typically have more comorbid illnesses, use more psychoactive drugs in the absence of a correct diagnosis, and often present with vague, nonspecific symptoms, which widens the differential diagnosis and leads to a higher level of underdiagnosis or misdiagnosis of OSA. An important finding from epidemiologic studies is that gender disparities in prevalence seem to decrease with age, and when women reach postmenopausal status (and are not receiving hormonal replacement treatment), incidence rates for men and women become similar. Table 60-1 summarizes the most important sleep apnea prevalence studies in middle-aged populations.

Elderly Population

The prevalence of OSA in adults increases with age as a result of greater collapsibility of the upper airway and probably reaches a plateau after the age of 65. It is estimated that 65% of older men and 56% of older women between 65 and 95 have OSA as defined by AHI of 10 or greater, and 26% of men and 21% of women between 71 and 100 years have an AHI of 30 or greater. Finally, 20% of older men and 15% of older women have the OSA syndrome (AHI of 10 or higher plus daytime hypersomnia). With age comes an increase in the frequency of both obstructive and central respiratory events. The main problem is to identify the AHI cutoff point that marks the limit of a physiologic and abnormal increase, in order to determine the real prevalence of clinically relevant OSA in the elderly population. In this sense, some investigators state that OSA represents different and distinct clinical entities in middle-aged adults and in older adults, based on morbidity and mortality data, although this position is controversial. Perhaps there is a more complex model of OSA that varies with the patient’s age.

In any case, the two proposed types of OSA consist of (1) a pathologic form of OSA that appears in middle age in those patients who usually are diagnosed in sleep laboratories and (2) OSA that appears after the age of 60 years, with some overlap between the two, mainly caused by physiologic changes (increase in pharyngeal collapsibility) associated with aging, and of less clinical importance. Data also suggest that the interaction between body weight and OSA in elderly persons may be different from that in younger adults. Because of the population-wide increase in longevity, the proportion of elderly persons being treated at sleep units also is increasing; currently one in four sleep studies are performed in patients older than 65 years of age. This scenario will present a scientific challenge in the future, in view of the lack of scientific evidence available on OSA in the elderly. Table 60-2 summarizes the most important epidemiologic studies describing the prevalence of OSA in older people.

Risk Factors for Obstructive Sleep Apnea

Obesity, aging, and male gender are the main risk factors for the development of OSA. It has been estimated that approximately 30% to 40% of AHI variance can be explained by genetic factors. Other risk factors have been proposed, related to increased anatomic or physiologic upper airway collapsibility.

Obesity

According to recent estimates, 60% of adults in industrialized nations are overweight (body mass index [BMI] of 25 kg/m2 or higher) and at least 15% are obese (BMI of 30 kg/m2 or higher). Obesity is a common clinical finding and is present in more than 60% of patients referred for diagnostic sleep evaluations. Twin studies have shown that up to 70% of the variance in obesity within a population may be attributable to genetic factors. Although candidate genes for obesity are numerous, only a few single-gene mutations causally related to obesity have been convincingly detected, including the leptin receptor gene, the leptin gene, the pro-opiomelanocortin gene, the prohormone convertase 1 gene, and the melanocortin MC4 receptor gene, but very few studies on candidate genes associated with weight loss or weight gain have been performed, and no work in this area has been carried out specifically in the OSA population.

The prevalence of OSA in obese subjects is as high as 45%. Obesity explains 30% to 50% of the variance in AHI and is the only variable that can be modified. Several researchers have speculated that obesity and OSA may share a common genotype, and linkage analysis identified candidate regions at least on chromosomal arms 2p and 19p, but further studies are needed to confirm these results. Some major epidemiologic studies from around the world have consistently identified body weight as the strongest risk factor for OSA and have demonstrated a positive correlation between changes in OSA incidence and changes in weight over time. The Wisconsin Sleep Cohort showed that an increase of one standard deviation in BMI was associated with a four-fold increase in the prevalence of OSA. The longitudinal analysis component of the same study demonstrated that OSA severity changed approximately 3% for every 1% change in weight over a 4-year period. The Sleep Heart Health Study found that the change in AHI with weight changes over a 5-year period was more pronounced in men, and that the change was greater when associated with a weight increase than with a weight decrease. Corroborating this strong association, some studies have shown that dietary or surgical weight loss leads to reduced OSA severity in many patients and that OSA can even be completely cured in some cases. In other words, patients with mild OSA who gain 10% of their baseline weight are at a six-fold increased risk for progression of OSA, and an equivalent weight loss can result in a more than 20% improvement with respect to OSA severity.

Whether OSA predisposes affected persons to the preferential accumulation of visceral fat remains to be determined. More evidence is necessary to determine which specific measure of peripheral or central fat distribution is less compromising for OSA. Some investigators have shown that neck circumference, waist circumference, and BMI are independently associated with OSA severity at all ages, although it seems that neck size is the strongest predictor of sleep-disordered breathing, indicating that upper body obesity (fat deposition around the upper airway or fat deposited in the parapharyngeal fat pads), rather than a more generalized distribution of body fat, is important for the development of OSA. In any case, it is advisable to obtain information from all three measures in clinical practice.

The fundamental mechanisms by which obesity leads to an increase in the number of respiratory events during sleep, and weight loss decreases them, are unknown. It has been postulated that fat deposits surrounding the airway play a role in increasing the critical closing pressure. Other potential contributing factors include the reduction of functional residual capacity, ventilatory control system instability, alterations in neural compensatory mechanisms that maintain airway patency, and functional impairment of the upper airway muscles. Obesity also reduces chest wall compliance and increases whole-body oxygen demand, again predisposing affected persons to development of OSA. The degree to which common conditions associated with obesity, such as diabetes, may cause vascular or neuropathic damage to the dilator pharyngeal muscles and reduced upper airway sensation remains to be fully elucidated.

Male Gender

It is not known which mechanisms explain the finding that OSA risk is twice as high in men as in women. Some studies have implicated several factors. First, men have increased fat deposition around the upper airways walls. Although data suggest that, in percentage terms, more women (33.4%) than men (27.5%) have a BMI ≥30 kg/m2, magnetic resonance imaging (MRI) studies have shown a decreased proportion of pharyngeal fat and soft tissue volume in the neck of obese women in comparison with obese men. Women in general have lower Mallampati scores, suggesting that the fat does not play as large a role in the female tongue as it does in the male tongue. Second, the upper airway in men is more prone to collapse as a result of its greater overall length with a longer vulnerable segment. Third, PSG characteristics of sleep and breathing patterns differ between women and men. Women tend to have a lower AHI in non–rapid eye movement (REM) sleep but have a similar AHI in REM sleep. Moreover, disordered-breathing events in women are of shorter duration and are associated with less oxyhemoglobin desaturation than in men. Finally, several mechanisms have been proposed to explain how male- or female-specific hormones would affect the propensity to develop OSA. One hypothesis is that the different hormones affect the distribution of body fat. Android body fat distribution (in the upper body and trunk) increases with both age and years after onset of menopause, which is a risk factor for the development of OSA. Hormone levels also have been hypothesized to affect central and neural respiratory control mechanisms. In this sense, progesterone has been shown to be a respiratory stimulant, which might protect premenopausal women from OSA; moreover, combined estrogen-progesterone treatment leads to a decrease in the number of apneic and hypopneic episodes during sleep. On the other hand, lower levels of testosterone may be protective against the development of OSA in women. Some researchers have shown that exogenous androgen therapy in men and women can aggravate OSA severity. It is possible that differing levels of hormones, starting from puberty and further modified by later maturational changes, can affect the development of OSA.

Other Predisposing Factors

Box 60-2 shows other predisposing factors that have been associated with increased risk for OSA. Their mechanisms of action are multiple: anatomic variability (e.g., craniofacial malformations), increased airway inflammation (smoking or infections), physiologic factors (sleep position, REM sleep, pregnancy, or ethnicity-related predilection), and depression of dilator pharyngeal muscle function (alcohol consumption, benzodiazepine or sedative use, stroke, and other comorbid conditions).

Although Asians are less obese than whites, disease prevalence in the East is not less than in the West. For a given age, sex, and BMI, however, Asians demonstrate greater disease severity than whites, which can be explained by differences in craniofacial features (persons of Asian ethnicity have a shorter cranial base and a more acute cranial base flexure). On the other hand, also in comparison with whites, African Americans show a greater role for soft tissue factors in susceptibility to OSA. The epidemiologic studies related to racial predisposition to OSA have to be interpreted carefully. Confounding variables, such as comorbid conditions, differing socioeconomic status, and health care disadvantages, could explain the differences in OSA prevalence between races, indicating that race may be a surrogate variable for other predisposing factors.

On the other hand, some epidemiologic studies show that both active smoking and second-hand smoke exposure have been independently associated with habitual snoring and even with an increase in OSA prevalence in some subjects, especially in active smokers. It seems that the inflammation and alteration of some mechanical and neural protective properties of the airway due to cigarette smoke increase the collapsibility of the upper airway. Alcohol intake also can promote pharyngeal collapse, even in normal persons, inducing apneic activity and prolonging apnea duration, probably by reducing respiratory motor output to the upper airway, resulting in hypotonia of the pharyngeal muscles.

The frequency and duration of OSA events and the extent of associated desaturation may increase in the supine compared with the side-lying sleep position. Positional OSA is defined as a supine-measured AHI at least double that measured in the lateral position. The prevalence of positional OSA varies in relation to OSA severity. It was recently identified in 50% of mild, 19% of moderate, and 6.5% of severe OSA cases. The main mechanism has been suggested to involve the effects of gravity on the upper airway size through displacement of the soft tissues, by mandibular retropulsion, and indirectly, by upward displacement of abdominal contents, thereby reducing lung volume and compromising airway cross-sectional area or length. Other studies have shown that one of the main mechanisms is change in the shape of the airway from a transversely oriented ellipse when the subject is supine to a more circular shape with assumption of the side-lying position.

Pregnancy also is associated with a higher prevalence of OSA, particularly in the third trimester. Many changes occur in the respiratory system during pregnancy. Factors recognized to contribute to this phenomenon include elevation of the diaphragm secondary to an enlarged uterus, leading to alterations in pulmonary mechanics including reduced functional residual capacity; an increase in Mallampati score secondary to fluid retention and edema; enlargement of neck circumference; reduced nasal patency; changes in hormonal concentrations (estrogen and progesterone); and weight gain. OSA is an important diagnosis to consider in symptomatic pregnant women, especially in view of possible adverse side effects including pregnancy-induced hypertension and intrauterine growth retardation.

Pathophysiology

OSA is characterized by repetitive collapse of the upper airway during sleep. The most frequent mechanism of collapse is that in which gravity pulls the tongue toward the back wall of the pharynx in a person who has assumed the supine position. Airway resistance increases during collapse, resulting in increased ventilatory effort, intrathoracic pressure swings, and disruption of sleep (arousals). The activation of the upper airway dilator muscles during arousals causes reopening of the airway and restores ventilation (Figure 60-1).

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Figure 60-1 Typical pathophysiologic sequence in obstructive sleep apnea.

(From Eckert DJ, Malhotra A: Pathophysiology of adult obstructive sleep apnea, Proc Am Thorac Soc 5:144–153, 2008.)

Upper Airway in Normal Subjects

It has long been recognized that, for what on casual consideration may appear to be a simple tube, the human upper airway is deceptively and enigmatically complex, performing functional tasks such as swallowing and the passage of air for breathing and speech, governed by anatomy and neural controls. Under normal physiologic conditions, the pharynx remains open at all times, except during short closures associated with swallowing, regurgitation, and speech. It is separated into three regions: the nasopharynx, extending from the nasal turbinates to the hard palate; the oropharynx, composed of the retropalatal region (from the hard palate to the caudal margin of the soft palate) and the retroglossal region (from the caudal margin of the soft palate to the base of the epiglottis); and the hypopharynx, extending from the base of the tongue to the larynx. It is composed of more than 20 muscles and soft tissues without rigid or bony support. Pharyngeal muscles can be divided into three groups: muscles controlling the position of the hyoid bone (geniohyoid and sternohyoid), muscles of the tongue (genioglossus), and palatal muscles (palatopharyngeus, tensor palatini, and levator palatini). The largest of the dilator pharyngeal muscles is the genioglossus, the muscle that forms the major portion of the body of the tongue (Figure 60-2).

Human speech requires pharyngeal mobility, such that the hyoid bone, which is a key anchoring site for pharyngeal muscles, is not firmly attached to the skeleton. Thus, the upper airway has rigid support in its proximal and distal segments but has a collapsible portion extending from the hard palate to the larynx, with the size of its lumen being subject to the influence of surrounding pressures and the activity of dilator muscles. Other well-known biologic examples of mobility in respiratory physiology include intrathoracic airway collapse on forced exhalation, collapse of pulmonary capillaries in the lung apex, and collapse of the alae nasi under high inspiratory flow rates.

One mechanistic physiologic representation of this collapsible model is the Starling resistor (Figure 60-3). According to this model, when air pressure is applied to the upper airway, the collapsible portion of the upper airway is bound by an upstream segment (nasal segment) and a downstream segment (tracheal segment). Nasal and tracheal segments have their corresponding intraluminal pressures and resistances. The nasal segment has atmospheric pressure at the airway opening. In the surrounding collapsible segment, pressure is generated by soft tissues and structures surrounding the pharynx. Occlusion of the collapsible portions occurs when the surrounding pressure (Pout) becomes greater than the intraluminal pressure (Pin) (transmural pressure [Pout − Pin] above 0).

The oropharynx represents the collapsible segment, the critical closing pressure (Pcrit) of which is defined as the pressure inside the airway at which airway collapse occurs. Flow is partially limited when nasal pressure is higher than Pcrit, Pcrit being higher than tracheal pressure, and total occlusion occurs when Pcrit is greater even than nasal pressure. Pcrit in the human upper airway is determined by lowering the nasal pressure until inspiratory airflow ceases. Its measurements have been shown to define a spectrum of upper airway obstruction ranging from normal breathing to total collapse (apnea), depending on the equilibrium between mechanical upper airway loads that provoke collapse and neuromuscular dilator functions that maintain upper airway patency. In general, these measures when applied in sleeping or paralyzed humans have shown that passive Pcrit is below −10 cm H2O in normal subjects with lower airway resistance and minimal CO2 retention during non-REM sleep. In sleep-disordered breathing, however, it varies, with reported values of −10 to −5 cm H2O in snorers, −5 to 0 cm H2O in those with sufficiently high airway resistance to induce airflow limitation and transient hypopneas, and above 0 cm H2O in patients with apneas associated with complete airway obstruction (Figure 60-4). Increases in airway resistance or hypercapnia provoke the activation of the muscle through neural control pathways composed of pressure receptors, sleep-wake brain centers, chemoreceptors, and respiratory centers.

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Figure 60-4 Patency equilibrium between upper airway mechanical load and neuromuscular response. Pcrit, critical closing pressure of collapsible segment of upper airways.

(Modified from Patil SP, Schneider H, Schwartz AR, Smith PL: Adult obstructive sleep apnea: pathophysiology and diagnosis, Chest 132:325–337, 2007.)

Upper Airway in Patients With Obstructive Sleep Apnea

During sleep, the ventilatory system is under automatic control. Even in normal subjects, airway resistance increases during sleep as a consequence of body position, decreased pharyngeal tone, depression of the respiratory drive, and depression of protective reflexes, leading to an increased probability of upper airway collapse. A number of factors contribute to the pathogenesis of OSA, including the activity of the dilated pharyngeal muscles during sleep, upper airway anatomy, lung volume, ventilatory control stability, sleep state stability, rostral fluid shifts, and others; all of these factors probably are mediated, at least in part, by genetic factors.

The primary site of collapse is in the retropalatal and oropharyngeal area in a majority of patients (up to 75%), with frequent caudal extension to the base of the tongue (25% to 44%) and, less often, to the hypopharynx (0 to 33%). The site of collapse depends on the equilibrium of functions exercised by the skeletal structure, soft tissue, and pharyngeal muscles. In obese patients, the most frequent area of collapse evidently is the velopharynx, whereas in nonobese patients, both the velopharynx and the oropharynx constitute the primary site of collapse. The extent of collapse varies by sleep stage, with caudal collapse being more extensive in REM sleep owing to changes in neuromuscular activation (Box 60-3).

PathogenEsis

Anatomic Factors

Anatomic factors include increased airway length, lateral wall thickness, tongue volume (macroglossia), skeletal structure (retrognathia or micrognathia), and nasal or pharyngeal abnormalities (nasal obstruction, polyps, or enlarged tonsils, adenoids, or uvula) and probably constitute the most important heritable determinants of OSA. Studies of cephalometric and computed tomography scans have demonstrated differences in the craniofacial structure of patients with OSA in comparison with that of normal subjects, including lower facial weight, retroposition of both the maxilla and the mandible, and shorter and medially displaced mandibular rami, all of them correlated with decreased pharyngeal size. The role of enlarged soft tissues has been demonstrated using MRI (Figure 60-5). In patients with OSA, pharyngeal lumen is smaller than normal and tissues are narrowed laterally, rather than in the anteroposterior dimension, especially at the retropalatal level, mainly owing to increased thickness of the muscular pharyngeal wall as well as an increase in tongue and total soft tissue volume. The interaction between the bony and soft tissue structures determines upper airway collapsibility. Nevertheless, increased airway length has been observed in subjects with OSA and has been shown to correlate with severity, especially in men. Usually, the longer the upper airway, the greater the risk of collapse.

Data from early physiologic studies suggest that upper airway narrowing and consequent snoring and apnea can be induced by subatmospheric nasal pressure. In theory, inspiratory nasal obstruction would not provoke continuing collapse of the pharynx: With cessation of flow, upstream resistance becomes irrelevant, intrapharyngeal pressure returns to atmospheric, and the pharynx reopens—a cycle generating snoring but not apneas. It is unlikely, however, that the pharynx does behave as a perfect Starling resistor, partly because of hysteresis and partly as a result of surface tension forces from mucus, which will tend to hold the pharynx closed once collapsed. Various observational and cross-sectional studies have documented a relationship among chronic nasal obstruction, snoring, and OSA.

Pharyngeal Muscle Activity

Despite compromised anatomic dimensions of the upper airway, subjects with OSA show upper airway collapse only during sleep, because the upper airway musculature can maintain patency during the awake state but has a reduced ability to do so during sleep. This phenomenon is thought to be related to a reduction in upper airway dilator muscle activity, especially in the transition from wakefulness to sleep. Paradoxically, some studies have shown that during the awake state, genioglossus activity is increased in patients with OSA compared with normal subjects, probably because the drive of the upper airway muscles is increased to compensate for anatomic compromise. During sleep, however, the relative decrease in genioglossus activity is greater in patients with OSA than in control subjects. Various mechanisms may explain the reduction in dilator muscle activity seen in patients with OSA: alterations in the mechanoreceptor reflex related to negative intraluminal pressure; changes in the 5-hydroxytryptamine 2A receptor, which has been shown to be the predominant receptor subtype in hypoglossal motor neurons; altered upper airway neuromechanical function; or even an upper airway denervation neuropathy or muscle denervation. In OSA, upper airway neuromuscular compensatory mechanisms during sleep are attenuated compared with those in control subjects in studies using electromyograms and often fail to restore airway patency in the absence of arousals. Furthermore, impaired upper airway afferent neural function has been described, which could attenuate the transmission of information related to intraluminal pressure. This impairment has been observed in the mechanosensitivity receptor of the oropharynx and thermal sensitivity receptors and sensory receptors in the velopharynx and larynx in persons with OSA. Some of these afferent impairments have been associated with OSA severity.

All of these findings point to the presence of an upper airway neuropathy in OSA, probably due to mechanical trauma associated with snoring and apneas, oxidative stress related to hypoxia-reoxygenation, and inflammation resulting from both of these insults. One of these forms of neuropathies appears in the form of muscle denervation, including fiber type grouping, grouped atrophy, and increased fiber size variability. This airway muscle denervation presumably also may result from damage to brain stem motor neurons, as has been reported in a murine model of intermittent hypoxia.

On the other hand, another potential mechanism contributing to altered upper airway muscle function in OSA could be impaired contractile function. In patients with OSA , the upper airway muscle works under considerable load in adverse hypoxic conditions, which could generate some injuries and morphologic changes, increasing force but making the muscle more prone to fatigue. Histologic and biochemical studies have shown an increased proportion of fast-twitch type IIa fibers in the uvula and genioglossus and increased levels of enzymes associated with anaerobic metabolism in patients with OSA, leading to the maintenance of increased muscle contractility at the cost of increased fatigability. Moreover, other factors such as increased airway inflammation and secondary tissue changes could compromise contractile function and alter mechanical coupling of upper airway muscles.

Finally, considerable interest has emerged in the role of some neural pathways and neurotransmitters in the modulation of upper airway muscle activity. Animal studies have shown that the withdrawal of serotoninergic excitation reduces hypoglossal motor output (which drives the major upper airway dilator muscle, i.e., the genioglossus), although human studies using selective serotonin reuptake inhibitors showed only modest effects on OSA severity. Noradrenergic inputs to the hypoglossal motor pool contribute to both the tonic and the phasic components of genioglossus muscle activity in the awake state, and withdrawal of noradrenergic input accounts for some of the reduction in hypoglossal motor activity during non-REM sleep. Glutamatergic inputs seem to play a similar role. The two main inhibitory neurotransmitters in the central nervous system are glycine and gamma-aminobutyric acid (GABA). Stimulation of GABA or glycine receptors suppresses respiration-related genioglossus muscle activity, whereas antagonism of those receptors increases it.

Ventilatory Control Stability

Ventilatory control stability is believed to be an important contributor to OSA pathogenesis, because obstructive events tend to occur during periods of low respiratory drive. One of the most important mechanisms that control the ventilatory system is the hypoxic or hypercapnic ventilatory response (PaCO2 is maintained at a stable level by negative feedback control). This mechanism has a high degree of heritability. During non-REM sleep, reductions in CO2 below eupneic levels will produce apnea, although this phenomenon does not occur during wakefulness. The CO2 level at which this occurs (apneic threshold) typically is 1 to 2 mm Hg below waking eupneic levels. Thus, the sudden increase in ventilation occurring in association with arousal, which typically is seen at the termination of apneic and hypopneic episodes, will lead to hypocapnia, so that on returning to sleep, CO2 is below the apneic threshold, and another apnea ensues. In this manner, postventilatory overshoot and loss of drive to the upper airway may lead to airway collapse with initiation of a subsequent obstructive event.

Other factors may contribute to reduced drive after postapneic hyperpnea, such as vagal stimuli generated during large inspired volumes and baroreceptor-mediated ventilatory inhibition due to postapneic blood pressure surges. Another important concept is loop gain, a term used to describe the stability of the respiratory system as a whole and how responsive the system is to a perturbation in breathing during sleep. The higher the loop gain, the lower the ventilatory stability. Patients with OSA have greater ventilatory control instability and higher loop gain when compared with control subjects. The two principal components of loop gain are controller gain, representing chemoreceptor responsiveness to hypoxia and hypercapnia (high controller gain is due to increased hypercapnic responsiveness), and plant gain, reflecting the effectiveness of a given level of ventilation to eliminate CO2. In the context of high plant gain, a small change in ventilation would produce a large change in PaCO2. Because upper airway muscles receive input from respiratory control centers, an unstable ventilatory drive will cause greater fluctuation in the activity of these muscles and promote upper airway collapse when ventilatory drive is at its nadir.

Controversies and Pitfalls

One of the most controversial issues in the epidemiologic approach to OSA is the difficulty of comparing the results of different studies, because they may use various methodologies and different definitions for the syndrome. Agreement is required on the definition of OSA and the type and applications of diagnostic devices, as well as a global consensus on the definition of hypopnea and what symptoms define OSA, not only in middle-aged men but also in women and elderly persons. More research should be dedicated to specific issues in these two populations: distinguishing between physiologic and pathologic situations in the number and type of respiratory events during sleep in the elderly and, in addition, the clinical presentation of OSA in women, which usually is different from the classical form. On the other hand, although general risk factors for OSA are fairly well known, an additional aspect merits further attention: the analysis of the genomic, proteomic, and metabolomic (metabolite-associated) aspects of the disease. Obstructive events during sleep result in changes in molecular processes that can be assessed, providing a potential molecular signature for the presence and consequences of OSA. Heterogeneity in biologic responses and their changes over time probably explain why some patients with OSA develop hypertension or experience more sleepiness than others, or why some affected persons suffer marked sleep fragmentation and others exhibit more intermittent hypoxia and its consequences. It is possible that developing and validating genetic and molecular signatures for OSA will provide not only diagnostic but also prognostic information, making the goal of personalized sleep medicine a reality in the near future (Figure 60-6).

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Figure 60-6 Schematic diagram of the relationship among obstructive sleep apnea, phenotype, and genomic-proteomic outcomes.

(From Polotsky VY, O’Donnell CP: Genomics of sleep-disordered breathing, Proc Am Thorac Soc 4:121–126, 2007.)