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EFFECT OF INTRAVENOUS SALINE INFUSION AND VENOUS COMPRESSION
STOCKINGS ON UPPER AIRWAY SIZE AND OBSTRUCTION
By
Joseph M. Gabriel
Toronto Rehabilitation Institute Sleep Research Laboratory
A thesis submitted in conformity with the requirements for the Degree of Master of Science,
Institute of Medical Science, University of Toronto
© Copyright by Joseph M. Gabriel 2011
II
Effect of Intravenous Saline Infusion and Venous Compression
Stockings on Upper Airway Size and Obstruction
Joseph M. Gabriel
Master of Science
Institute of Medical Science
University of Toronto
2011
ABSTRACT
Obstructive sleep apnea (OSA) severity is strongly associated with the degree of overnight
peripharyngeal fluid accumulation. We hypothesized that intravenous fluid loading would
cause upper airway (UA) narrowing or increase the frequency of apneas and hypopneas per
hour of sleep (apnea-hypopnea index; AHI). We employed a controlled, randomized double-
crossover experiment in 9 healthy men aged 23-46 years. In the control, subjects were
administered approximately 80 ml of normal saline intravenously during sleep. In the
intervention, subjects were administered approximately 1850 ml of saline during sleep while
wearing compression stockings to localize fluid rostrally. The intervention induced nuchal
fluid accumulation, resulting in an increase in neck circumference (+0.1 cm during control,
+0.6 cm during intervention, P< 0.01 ) and a decrease in UA cross-sectional area (-0.08 cm2
during control, -0.43 cm2
during intervention, P = 0.023). Although the intervention did not
increase the AHI (control AHI = 19.5, intervention AHI = 30.3, P = 0.249), the AHI during
the intervention correlated with age (r = 0.8, P < 0.01). Thus, intravenous saline loading
during sleep can narrow the UA, which in older men may induce or worsen OSA. Further
studies are needed to test this hypothesis.
III
ACKNOWLEGMENTS
First and foremost, I thank God.
I thank my parents, Yousry and Salwa, for pushing me toward higher education throughout
my life. I thank them for encouraging me to succeed in this and other projects, for reassuring
me when I face setbacks and for reminding me what I am capable of. I also thank my sister,
Sarah, for continually believing in and encouraging me, even from the other side of the globe.
I love you all.
I thank Dr. Douglas Bradley, my supervisor, for instilling me with but a small fraction of his
world-class expertise in the field of sleep medicine. His genuine enthusiasm for scientific
discovery is inspiring, and his leadership has advanced my own research immeasurably.
Likewise, I thank my thesis supervisors, Drs. John Floras and Sandy Logan for providing me
with astutely constructive criticism and feedback that proved invaluable throughout my thesis.
They, along with Dr. Bradley, tempered my efforts – not only by providing me with answers
but by asking me excellent questions—and I am confident that this thesis is of much higher
quality as a result.
I thank Dr. Takatoshi Kasai for sitting next to me – both figuratively and literally –
throughout my time in the lab. He never allowed his vastly-impressive knowledge and
expertise on the intricacies of medicine, statistics and scientific design to once preclude him
from assisting me quickly and comprehensively with any issue I came to him with. I will not
soon forget his humility. On a technical note, Toshi performed the intravenous saline
infusions and neck circumference measurements for all subjects in this study.
I thank Dr. Luigi Taranto Montemurro for, in many ways, accepting me like his younger
brother. Luigi took me under his wing, and I learned much from him. To me, he represents a
role model as a young physician I hope to emulate one day. Moreover, Luigi and his wife
Paola taught me much about Italian food and culture, and were promptly rewarded with my
own clumsy (and, ultimately, somewhat futile) attempts to learn their native tongue. Eo so
far volare un aquilone anche in un giorno di bonnache. Had Luigi not offered his expertise
in acoustic reflection pharyngometry at the outset of this project, this thesis could not have
been completed.
I thank Fiona Rankin for her tireless and cheerful assistance throughout the implementation
of this project, and for coordinating and running essentially every aspect of
polysomnography.
I thank Dr. Hisham Alshaer for being an inspiring and reassuring presence during my time in
the laboratory, and for being, in all his humility, my colleague in science, culture and
spirituality.
I thank Dr. Rosiline Coelho for her optimism, and for reminding me that setbacks and
obstacles are poor reasons to stop smiling.
IV
I thank Dr. Shveta Motwani for mentoring me as I make decisions about my future career as
a medical professional. Her enthusiasm is contagious and her dedication to medicine is
commendable. I also wish to thank Shveta’s family, particularly her parents, for serving me
what was perhaps the largest meal I have ever eaten. It was wildly delicious.
I thank my housemate David Maclean. He has stood by me as a friend and colleague through
two degrees at two universities in two cities, and in that time has helped guide me through
my plans, hopes and problems, academic or otherwise. I am confident that in the future he
will become an excellent physician and – if he so chooses – that he will continue to be an
excellent researcher.
I thank Dr. Steve Iscoe at Queen’s University for introducing me to the study of
cardiorespiratory science during my undergrad, for encouraging me to write objectively and
scientifically, and for consistently reminding me that scientific discovery is not an
inevitability, but rather, the result of hard work from real people. I also thank Dr. Iscoe for
being the conduit, if not often the source, for a number of groan-inducing jokes and puns.
Lastly I wish to acknowledge the generous financial support I received from the Institute of
Medical Science and Canadian Institutes of Health Research for the first year of my research,
and, for the second year of my research, from the Toronto Rehabilitation Institute and the
Cardiovascular Sciences Collaborative Program, both via the University of Toronto Faculty
of Medicine and the Ontario Student Opportunities Trust Fund.
V
TABLE OF CONTENTS
ABSTRACT ______________________________________________________________II
ACKNOWLEGEMENTS __________________________________________________III
TABLE OF CONTENTS ___________________________________________________ V
LIST OF ABBREVIATIONS ________________________________________________VI
LIST OF TABLES _______________________________________________________VIII
LIST OF FIGURES ______________________________________________________IX
1. GENERAL AIMS _______________________________________________________ 1
2. LITERATURE REVIEW __________________________________________________ 2
2.1 OBSTRUCTIVE SLEEP APNEA ____________________________________ 2
2.1.1 Definitions ________________________________________________2
2.1.2 Epidemiology______________________________________________6
2.1.3 Pathogenesis______________________________________________10
2.1.4 Pathophysiological Effects___________________________________24
2.1.5.Screening and Diagnosis ____________________________________29
2.1.6 Treatment________________________________________________32
2.2 ROSTRAL FLUID SHIFT _________________________________________36
2.2.1 Introduction ______________________________________________36
2.2.2 Relationship of Peripharyngeal Edema to Obstructive Sleep Apnea __37
2.2.3 Experimentally-Produced Rostral Fluid Shift Studies _____________39
2.2.4 Relationship Between Spontaneous Overnight Rostral Fluid Shift and
Obstructive Sleep Apnea_________________________________________42
2.2.5 Probable Relationship between Overnight Rostral Fluid Shift and Obstructive Sleep
Apnea Prevalence in Men and Fluid Overloaded Patients___________________________46
2.2.6 Effect of Venous Compression Stockings on Overnight Rostral Fluid
Shift and Severity of Obstructive Sleep Apnea ______________________50
2.2.7 Rationale for Further Evaluation of Fluid-Mediated Upper Airway
Obstruction During Sleep _______________________________________52
2.3 EXPERIMENTAL FLUID LOADING ________________________________54
2.3.1 Safety of Rapid Intravenous Administration of Normal Saline ______55
2.3.2 Compression Stockings ____________________________________57
3. HYPOTHESES _________________________________________________________59
4. METHODS ____________________________________________________________60
5. RESULTS _____________________________________________________________68
6. DISCUSSION __________________________________________________________80
7. LIMITATIONS______________ ___________________________________________88
8. CONCLUSIONS ________________________________________________________91
9. FUTURE DIRECTIONS __________________________________________________92
10. GLOSSARY __________________________________________________________93
11. APPENDICIES ________________________________________________________96
11.1 Appendix 1 – Epworth Sleepiness Scale _____________________________96
11.2 Appendix 2 – Berlin Questionnaire _________________________________97
12. REFERENCES _______________________________________________________99
VI
LIST OF ABBREVIATIONS
AASM: American Academy of Sleep Medicine
AHI: apnea-hypopnea index
ARP: acoustic reflection pharyngometry
BMI: body mass index
BP: blood pressure
BQ: Berlin Questionnaire
CIH: chronic intermittent hypoxia
CPAP: continuous positive airway pressure
CS: venous compression stockings
ECG: electrocardiogram
EDS: excessive daytime sleepiness
EEG: electroencephalogram
EMG: electromyogram
EOG: electrooculogram
ESRD: end-stage renal disease
ESS: Epworth Sleepiness Scale
GG: genioglossus muscle
HF: heart failure
HR: heart rate
IV: intravenous
LBPP: lower body positive pressure
LFV: leg fluid volume
VII
LV: left ventricle
MAST: medical anti-shock trousers
NC: neck circumference
NREM: non-rapid eye movement
OSA: obstructive sleep apnea
PaO2: arterial oxygen partial pressure
PCO2: carbon dioxide partial pressure
Pcrit: critical closing pressure
PSG: polysomnogram
REM: rapid eye movement
RUA: upper airway resistance
RV: right ventricle
SaO2: arterial hemoglobin oxygen saturation
TP: tensor palatini muscle
UA: upper airway
UA-XSA: upper airway cross-sectional area
VT: tidal volume
VIII
LIST OF TABLES
Table 1 – Subject Characteristics
Table 2 – Sleep Architecture Data
Table 3 – Apnea-Hypopnea Indices
IX
LIST OF FIGURES
Figure 1 – Midsagittal view of the head and neck showing the various anatomical divisions
of the pharynx
Figure 2 – Representative illustration of upper airway cross sections in subjects with and
without obstructive sleep apnea.
Figure 3 - Schematic of screening and experimental protocols
Figure 4 – Neck circumference values measured immediately before and after sleep in the
control and saline infusion sessions
Figure 5 – Relationships between body mass index and neck circumference measurements
Figure 6 – Area-distance curves of the upper airway, obtained by acoustic reflection
pharyngometry immediately before and after saline intervention
Figure 7 – Images of the upper airway generated from the area-distance curves shown in
Figure 6
Figure 8 – Upper airway cross-sectional area immediately before and after sleep in the
control and saline infusion sessions
Figure 9 – Total AHI for each subject during control and saline intervention sessions
Figure 10 – Relationship between subject age and AHI during saline intervention session
1
1. GENERAL AIMS
There is mounting evidence that accumulation of fluid in the nuchal/peripharyngeal tissues
during sleep may predispose to obstructive sleep apnea (OSA), a condition characterized by
repetitive collapse of the upper airway (UA) during sleep. Induction of nuchal fluid
accumulation in healthy awake subjects induces UA narrowing and increases UA
collapsibility and resistance to airflow (1-4). To date, no reported study has sought to induce
UA obstruction during sleep in healthy subjects via causing nuchal/peripharyngeal fluid
accumulation. Thus, the objective of this thesis was to design and implement a novel method
to determine whether intravenous fluid infusion during sleep could induce nuchal and/or
peripharyngeal fluid accumulation and thereby cause UA narrowing and/or obstruction.
2
2. LITERATURE REVIEW
2.1. OBSTRUCTIVE SLEEP APNEA
2.1.1 Definitions
Upper Airway
The term “upper airway” is used in the present discussion to refer generally to the pharynx,
extending from the nasal turbinates to the glottis. Figure 1 shows a midsagittal view of the
head and neck with various subdivisions of the pharynx. The nasopharynx extends from the
nasal turbinates to the hard palate. The retropalatal pharynx extends from the hard palate to
the caudal margin of the soft palate. The retroglossal segment of the oropharynx extends
from the caudal margin of the soft palate to the epiglottis. The hypopharynx extends from the
epiglottis to the glottis. The collapsible segment of the pharynx includes the retropalatal
pharynx, the retroglossal segment and the hypopharynx. The oropharyngeal junction, also
known as the velum, is the narrow point at which the oral cavity meets the retroglossal
segment.
3
Figure 1: Midsagittal section of the head and neck showing the various subdivisions of the
pharynx.
4
Spectrum of Upper Airway Obstruction Occurring During Sleep
During the transition from wakefulness to sleep, firing of the UA dilator muscles decreases,
reducing UA calibre and increasing UA resistance to airflow (RUA) (5). Thus, physiological
narrowing of the UA is a feature of normal sleep. However, narrowing of the UA at sleep
onset can become pathological if it increases RUA to such an extent that it causes partial or
complete cessation of airflow (hypopnea and apnea, respectively).
An obstructive apnea is defined as either a > 90% reduction, or complete cessation, of
airflow for ≥ 10 seconds due to complete collapse of the UA, despite continuing respiratory
efforts and movements of the rib cage and abdomen. Similarly, obstructive hypopnea is
typically defined as a reduction in tidal volume (VT) to ≤ 50% of baseline for ≥ 10 seconds
due to partial collapse of the UA, despite preserved respiratory efforts and out-of-phase
movements of the rib cage and abdomen. In its most recent scoring manual (6), the American
Academy of Sleep Medicine (AASM) requires hypopneas to be either accompanied by some
degree of arterial oxygen desaturation, typically ≥ 3% or ≥ 4%, or terminated by an arousal,
but this definition is not applied universally. Among some sleep laboratories, oxygen
desaturation or arousals are not part of the definition of hypopneas (7). Although apneas and
hypopneas are associated with varying degrees of UA obstruction they have similar adverse
consequences (8).
Snoring is defined as a breathing noise produced by vibration of the soft palate, pharyngeal
walls, epiglottis and tongue during sleep (9). It is produced by mild narrowing of the pharynx,
creating turbulent airflow that vibrates UA tissues. Although non-apneic snoring is typically
5
associated with an increase in inspiratory effort (10), and may be associated with airflow
limitation, it is not associated with a significant decrease in VT or minute ventilation.
Obstructive Sleep Apnea
OSA is characterized by recurrent apneas and/or hypopneas during sleep, and is almost
universally accompanied by habitual snoring.
The physiological severity of OSA is expressed as the number of apneas and hypopneas per
hour of sleep (apnea-hypopnea index; AHI). The AASM classifies an AHI < 5 as normal, an
AHI of 5 to < 15 as mild OSA, and AHI of 15 to ≤ 30 as moderate OSA and an AHI of > 30
as severe OSA. However, because this classification is arbitrary and is not based on outcome
data, it is not accepted universally.
Obstructive Sleep Apnea Syndrome
Obstructive sleep apnea syndrome (OSAS) is the presence of polysomnographically-
confirmed OSA accompanied by symptoms of sleep apnea (11). For example, the AASM
defines OSAS as an AHI ≥ 5 accompanied by either excessive daytime sleepiness (EDS) or 2
or more of the following: choking or gasping during sleep, recurrent awakenings from sleep,
unrefreshing sleep, daytime fatigue or impaired concentration (8).
6
2.1.2 Epidemiology
Prevalence of OSA in the General Population
In 1993, a landmark study by Young et al. reported the prevalence of OSA within a general,
middle-aged American population (12). In the study, over 600 men and women aged 30-60
years, selected randomly from an employee payroll database in Wisconsin, underwent full
polysomnography (PSG). From these data, the prevalence of OSA (AHI cutoff ≥ 15), was
reported as 9% in men and 4% in women, i.e. more common within the general adult
population than another common condition, asthma (13, 14). This finding has been supported
by a more recent study of over 1700 Pennsylvanian subjects aged 20-99 years that reported
male and female OSA prevalences of 7% (15) and 2% (16), respectively, and by a study of
400 Spanish subjects aged 30-70 years that reported male and female prevalences of 14% and
7%, respectively (all use AHI cutoff ≥ 15) (17). When OSA was defined by an AHI ≥ 5, the
above studies reported male prevalences of 17-26% and female prevalences of 9-28% (12,
15-17). In the study by Young et al., the male and female prevalences for symptomatic OSA
with an AHI ≥ 5 (i.e. OSAS) were 4% and 2%, respectively (12).
Despite this high prevalence in the general population it is estimated that 80-90% of those
with OSA are undiagnosed (18, 19). Clinicians may be unfamiliar with the clinical
presentation of OSA and in some cases may not associate a complaint of excessive daytime
sleepiness (EDS) with OSA, particularly if they do not inquire about associated symptoms of
OSA such as loud snoring, restless sleep, nocturnal choking or morning headaches. The
potential consequences of not recognizing and treating OSA include a greater risk for motor
7
vehicle and occupational accidents, and for cardiovascular morbidity and mortality than
subjects without OSA (20-25).
Risk Factors for Obstructive Sleep Apnea in the General Population
A number of factors are associated with increased risk of OSA. The prevalence and severity
of OSA increase with increasing body weight, assessed by body mass index (BMI; body
weight in kilograms divided by the square of height in metres). Thus, overweight (BMI ≥ 25
kg/m2) and obese (BMI ≥ 30 kg/m
2) individuals are at increased risk of having OSA than
normal weight individuals (12, 26, 27). Other risk factors include male sex, advanced age,
increased NC, macroglossia, tonsillar/adenoidal hypertrophy and craniofacial abnormalities
such as retrognathia and micrognathia that reduce the size of the bony envelope surrounding
the UA, therefore narrowing it (12, 26, 28-32). Although these risk factors are indeed
important, they account for only a small proportion of the variability in OSA severity. For
example, increases in BMI and NC, traditionally considered to be the among the most
clinically-relevant anatomic predictors of OSA, together account for only one-third of total
AHI variability (30-33). Thus, it is highly likely that other factors play a role in the
pathogenesis of UA obstruction during sleep and increase the risk of OSA.
Prevalence of OSA in Fluid Overload States: Renal Failure and Heart Failure
OSA is exceedingly common among patients with renal failure (i.e. end-stage renal disease;
ESRD). Several studies of patients with ESRD have reported prevalences of OSA from 50-
80% (34-38). Despite this, OSA appears to be grossly underdiagnosed in this population,
8
perhaps due to attribution of fatigue and EDS to the underlying renal disease rather than to
OSA (36, 37).
Like ESRD, heart failure (HF) is associated with a higher prevalence of OSA than in the
general population. Epidemiological studies, using AHI cutoffs of ≥10 and ≥15, have
reported that 12-53% of HF patients have OSA (39-42). In contrast to patients with OSA but
without HF, who often complain of EDS, HF patients with OSA generally do not complain
of EDS, regardless of OSA severity (43, 44). The reason for this has not been determined, but
it may account, in part, for the very low rate of sleep apnea diagnosis in the HF population.
For example, Javaheri et al. recently reported that only 2% of patients newly diagnosed with
HF subsequently underwent PSG (45).
The substantially elevated OSA prevalence among both ESRD and HF populations is not
explained adequately by traditional risk factors. For instance, OSA patients with either ESRD
or HF typically have lower BMIs than otherwise-healthy OSA patients (40, 44, 46, 47). A
factor common to both ESRD and HF is systemic fluid retention (48). Thus, it is possible that
fluid retention plays a role in the pathogenesis of OSA in these patients, as will be discussed
in a later section (2.2.5).
Obstructive Sleep Apnea and Risk of Cardiovascular Disease
For reasons that will be discussed in Section 2.1.4, OSA is associated with elevated risk for a
number of cardiovascular diseases, as well as for cardiovascular and all-cause mortality. The
largest source of epidemiological data on cardiovascular disease in sleep apnea is the Sleep
9
Heart Health Study (SHHS), conducted in a diverse American population of approximately
6000 participants aged ≥ 40 years. The SHHS group reported increased adjusted odds ratios
for prevalent HF, stroke and coronary artery disease of 2.38, 1.58 and 1.27, respectively, for
subjects in the upper versus lower AHI quartile (49). The same group found that, for men
with mild-moderate OSA (AHI 5-25), each 1 point increase in AHI was associated with a 6%
increase in incident stroke risk (50). This is supported by large-scale cross-sectional and
longitudinal analyses of over 2500 subjects conducted by Arzt et al., who reported an
adjusted odds ratio of 4.43 for stroke prevalence and an unadjusted odds ratio for stroke
incidence of 4.31 in subjects with an AHI ≥ 20 compared to those with an AHI < 5(51).
Additionally, the SHHS group has reported adjusted odds ratios for prevalent nocturnal
cardiac arrhythmias including atrial fibrillation and complex ventricular ectopy of 1.74 - 4.02
in subjects with OSA compared to those without it (52). Patients with severe untreated OSA
(AHI ≥ 30) were found to have increased odds ratio for prevalent hypertension of 1.37
compared to subjects with an AHI < 1.5 (53). Interestingly, a longitudinal study of nearly
2000 men and 2500 women found that OSA is a significant predictor of both incident
coronary heart disease and of incident HF in men but not women (54). The adjusted hazard
ratio for all-cause mortality in severe OSA (AHI ≥ 30) compared to no OSA (AHI < 5) has
been reported as 1.46 by the SHHS and 3.8 by the Wisconsin Sleep Cohort, the latter group
reporting an adjusted hazard ratio for cardiovascular mortality of 5.2 in severe OSA (55, 56).
In a study of over 1600 Spanish men, Marin et al. reported adjusted odds ratios of incident
cardiovascular morbidity and mortality of 3.17 and 2.87, respectively, in severe untreated
OSA (AHI > 30) (57).
10
2.1.3 Pathogenesis
Partial or complete UA collapse occurs when the normal physiological withdrawal of UA
dilator muscle activity at the transition from wakefulness to sleep is superimposed upon an
anatomically narrowed or collapsible UA, giving rise to obstructive hypopneas and apneas
(58, 59).
Upper Airway Anatomy in Obstructive Sleep Apnea
Whereas the UA lumen of normal subjects is typically elliptical, with the long axis in the
lateral dimension, in OSA patients it is typically either circular or elliptical with the long axis
in the anterior-posterior plane (Figure 2) (58). This suggests that impingement of the lateral
UA wall is a typical feature in OSA. According to Poiseuille’s law (48), under conditions of
constant, laminar flow, a unit reduction in the radius of a tube increases flow resistance to the
4th
power. Assuming this applies to the UA of patients with OSA, in order to maintain
airflow in the face of this increase in resistance, more negative (subatmospheric) intraluminal
pressures must be generated during inspiration by the inspiratory muscles. Unfortunately,
during sleep, this more-negative intraluminal pressure increases the tendency of the UA to
collapse during inspiration.
11
Several studies using various imaging techniques have demonstrated that the UA lumen is
narrower in patients with OSA than in subjects without OSA. For example, MRI and CT
studies, conducted mainly in obese subjects, have demonstrated that UA cross-sectional area
(UA-XSA) is reduced in subjects with OSA (60-63). Studies conducted with acoustic
reflection pharyngometry (ARP) to determine UA luminal dimensions revealed that,
compared to body weight- and age-matched controls, UA-XSA is smaller in OSA patients,
and that the UA-XSA of non-obese, non-apneic subjects who snored was reduced to the same
degree as in OSA patients who snored (64, 65). This suggests that anatomic UA narrowing is
common to non-apneic snorers and snorers with OSA in whom it can promote the partial UA
obstruction and turbulent airflow that characterizes snoring and the more complete degree of
narrowing that causes partial or complete airflow cessation.
Figure 2: Representative illustrations of cross sections of the collapsible segment of the
pharynx in subjects without (left) and with (right) OSA. Note the relative lateral impingement
and reduction in cross-sectional area in subjects with OSA.
12
The specific site of initial collapse within the UA may vary between subjects, the most
common sites being the retropalatal and retroglossal regions, followed less commonly by the
hypoglossal region (58). A study of 17 patients with OSA (AHI ≥ 5) found that the
predominant site of UA collapse was repeatable within 14 subjects(66).
Enlarged adenotonsillar tissues can obstruct the UA during sleep, and adenotonsillar
hypertrophy is the most common cause of OSA in children (67, 68). Although nasal
obstruction, such as that caused by nasal septum deviation or rhinitis, increases RUA and thus
may predispose to UA collapse, the contribution of nasal obstruction to the pathogenesis of
OSA has yet to be delineated (58). Dysgnathias such as retrognathia and micrognathia cause
posterior displacement of tongue and soft palate, thereby narrowing the UA and predisposing
to OSA (69, 70).
Upper Airway Compliance and Passive Collapsibility in Snoring and Obstructive Sleep
Apnea
Critical closing pressure (Pcrit) is defined as the intraluminal pressure at which the UA
collapses completely. Passive Pcrit is the Pcrit in the absence of pharyngeal dilator muscle
activity. Thus, passive Pcrit is a measure of both extraluminal tissue pressure as well as of the
intrinsic, mechanical properties of the UA, such as compliance, which together are
components of the overall collapsibility of the UA (71, 72). A number of studies have
demonstrated an increased UA compliance/collapsibility in subjects with OSA (73-76).
Indeed, a feature of some OSA patients, but not of non-apneic snorers or non-snorers, is a
positive (supra-atmospheric) passive Pcrit (58, 71). In the absence of UA dilator muscle
13
activity, the UA of such patients would collapse, suggesting that peripharyngeal tissue
pressure must be relatively high in such individuals (28, 77, 78). Taranto Montemurro and
colleagues (71) demonstrated in sleeping subjects a graded increase in passive Pcrit, from
non-snoring subjects, to snoring subjects without OSA to snoring subjects with OSA. Thus,
increased UA collapsibility contributes to the pathogenesis of OSA.
Respiratory Cycle Timing of Upper Airway Collapse During Sleep
The human UA has been modeled as a collapsible elastic tube or Starling resistor (79), in
which generation of negative intraluminal pressure during inspiration narrows the UA and
increases RUA. However, during sleep, UA collapse can occur either at end-expiration or the
onset of inspiration (58, 80). Although these two phases of the respiratory cycle are
temporally adjacent, the mechanisms of UA collapse in either are conceptually distinct.
Collapse during end-expiration, which is thought to occur in the majority of obstructive
events (80), suggests a passive state of increased UA collapsibility and thus reflects the
supra-atmospheric passive Pcrit of many apneics. Here, UA collapsibility becomes so great
during sleep that the generation of negative intraluminal pressure is unnecessary for UA
collapse. Thus, when the UA exhibits end-expiratory collapse, it cannot be said to behave
like a Starling resistor. Conversely, UA collapse during inspiratory onset, when generation of
negative intraluminal pressure is highest, reflects a (sub)atmospheric passive Pcrit. In these
instances, negative intraluminal pressure is presumed to drive UA collapse, and thus the UA
at these times behaves like a Starling resistor. Studies demonstrate that spontaneous end-
expiratory UA collapse is associated with factors such as peripharyngeal adiposity that
14
increase extraluminal tissue pressure, whereas spontaneous inspiratory narrowing/collapse is
more likely to occur in non-obese control animals (32, 81).
Normal Upper Airway Dilator Muscle Activity During Wakefulness and Sleep
In order to draw air into the lung, negative intrathoracic pressure must be generated by
respiratory pump muscles during inspiration. This negative pressure is transmitted
throughout the respiratory tract, including the UA lumen where it tends to draw the UA walls
inward. In most non-human mammals, the UA is supported by the surrounding hyoid bone,
which articulates with the styloid processes of the skull (80). This creates a rigid structure
that is relatively resistant to collapse when exposed to negative intraluminal pressure. In
humans, however, the hyoid bone lacks skeletal articulation and is therefore “free floating”.
The mobile hyoid bone in humans is thought to be an adaptation to permit greater mobility of
the oropharyngeal structures and allow speech production (82). Thus, the human UA is less
rigid and more collapsible when exposed to negative intrathoracic pressure than that of non-
human mammals. This tendency to collapse in the face of negative intraluminal pressure is
counteracted by the contraction of the UA dilator muscles (59). Contraction of these dilator
muscles plays a more important role in maintaining UA patency in humans than in other
mammals.
The 2 most-studied UA dilator muscles in humans, owing mainly to their easy accessibility,
are the genioglossus (GG), which protrudes the tongue and dilates the oropharyngeal lumen
(83), and the tensor palatini (TP), which tenses and raises the soft palate (84). Whereas
activity of the TP is mainly tonic, that of the GG is mainly phasic during inspiration (58).
15
The GG is innervated by the medial branch of the hypoglossal nerve (cranial nerve XII). The
hypoglossal motor nucleus, in turn, receives input from the respiratory central pattern
generator, from the nuclei such as the locus coeruleus that mediate in the drive to breathe
during wakefulness, as well as from the nucleus of the solitary tract, which mediates the
reflex response to sudden decreases in UA intraluminal pressure detected by pharyngeal
mechanoreceptors (84). Accordingly, during wakefulness, GG activity is increased by
hypercapnia, hypoxia and the sudden application of negative pressure to the UA (58, 85-87).
The TP, innervated by the mandibular branch of the trigeminal nerve (cranial nerve V),
appears to receive the majority of its input from wakefulness-maintaining neurons and is
unresponsive to changes in the partial pressure of carbon dioxide (PCO2) (84), hence its tonic
activation during wakefulness. Although the TP is activated by sudden experimental
application of negative pressure to the UA (88), it does not, in contrast with the GG, respond
to physiological variations in UA intraluminal pressure (89).
The transition from wakefulness to sleep is associated with a number of important
physiological changes. During this transition, the wakefulness drive to breathe is lost and
central drive is diminished (90). This is associated with transient decreases in GG and TP
activity, making UA intraluminal pressure more negative (5). However, GG activity is
typically restored to levels similar to wakefulness by the 5th
post-transitional breath, probably
due to the increase in PCO2 at sleep onset (5, 59). In contrast, TP activity remains depressed
and continues to decrease as sleep stabilizes, probably because the main respiratory input to
the TP is the wakefulness drive to breathe. The result is that, in subjects without OSA, UA
16
patency is restored and RUA is only slightly elevated during stable NREM sleep compared to
wakefulness (91).
Although the transitional decrease in GG activity is partially mediated by the decreases in
central drive and UA intraluminal pressure, this decrease may also occur even after both
central respiratory drive and negative pressure reflex have been minimized, suggesting that
these do not exclusively mediate GG activity during wakefulness. In a study by Lo et al. (92),
non-apneic subjects were placed on positive-pressure ventilation during wakefulness such
that negative UA intraluminal pressure was eliminated, GG muscle activity was minimized
and central drive was attenuated as evidenced by a cessation in spontaneous ventilation. The
ventilated subjects were then allowed to sleep while muscle activities of the GG and TP were
measured. Despite sustained attenuation of central drive and abolition of UA intraluminal
negative pressure during both wakefulness and sleep, activity in both the GG and TP
decreased during the transition from wakefulness to sleep. This reduction in GG activity was
sustained during stable NREM sleep and decreased further during rapid eye movement
(REM) sleep. The TP exhibited a decrement in muscle activity at sleep onset that was
maintained at similar levels throughout stable NREM and REM sleep. Thus, the decrement
of UA dilator muscle activity during sleep is not just secondary to withdrawal of chemical
respiratory drive or to the increase in RUA, but is also to withdrawal of the wakefulness drive
to breathe (92).
In some non-apneic subjects, GG activity is almost absent in NREM sleep and can only be
elicited by the application of inspiratory resistive loading (89). Despite this, these subjects
17
can sleep without experiencing obstructive events, suggesting that active muscle contraction
is less important than the passive properties of the airway (i.e. calibre and/or compliance) in
maintaining UA patency.
Although baseline phasic activity of the GG is typically maintained at wakeful levels during
stable NREM sleep under normal conditions, particularly if the UA is relatively
narrow/compliant, the reflex responsiveness of both the GG (93, 94) and the TP (85) to
sudden application of negative intraluminal pressure is attenuated during NREM sleep.
Furthermore, compared to NREM sleep, phasic GG activity is reduced overall by 50% during
REM sleep (95), and the GG may experience complete atonia for prolonged periods during
this time (96). This is explained by the fact that profound attenuation of skeletal muscle
activity (with the exception of the diaphragm) is a characteristic feature of REM sleep (48).
The physiological effects of sleep on baseline and reflexive levels of UA dilator muscle
activity help to explain why OSA is a condition that occurs exclusively during sleep (59, 80).
They also explain why UA obstruction tends to occur more frequently in REM sleep than in
NREM sleep (97).
Upper Airway Dilator Muscle Activity in Patients with Obstructive Sleep Apnea
During wakefulness, patients with OSA display levels of UA dilator muscle activity that are
approximately 2 to 3 times greater than those of control subjects, presumably in response to
higher baseline RUA caused by UA narrowing (98-100). Upon the transition from
wakefulness to sleep, however, OSA patients lose this augmentation of UA dilator activity,
18
such that the net decrease in GG and TP activity at sleep onset is greater than in non-apneic
controls (100). However, it is not clear whether this plays a major role in predisposing to UA
collapse.
Influence of Extraluminal Factors on Upper Airway Collapsibility
Increased pressure in the tissues surrounding the UA can increase UA transmural pressure
and reduce UA-XSA. This concept helps to explain the well-defined associations between
obesity, enlarged neck circumference (NC) and OSA. In obese patients, increased amounts of
nuchal and peripharyngeal adipose tissue can increase tissue pressure around the UA and
reduce UA-XSA. Thus, it is not obesity per se that predisposes to UA collapse, but rather, the
accompanying peripharyngeal adiposity (78, 101). Experimental evidence for such a
mechanism was provided by Koenig and Thach (102), who conducted mass loading
experiments on the UAs of anesthetized and post-mortem supine rabbits. To mimic the necks
of obese humans, Koenig and Thatch placed thin, lard-filled bags (10-100g) on the anterior
surfaces of the rabbits’ necks, such that NC was increased by 20-50%. Endoscopic
examinations of the UA lumen, as well as measurements of RUA and UA collapsibility,
revealed that mass loading produced narrowing of the UA in association with increases in
RUA and UA collapsibility. However, a bag of lard placed on the anterior surface of the neck
is not necessarily an accurate model of human peripharyngeal adiposity, as it does not
directly mimic adiposity in tissues lateral to the UA.
Further support for the role of extraluminal tissue pressure in producing UA narrowing
comes from a more recent study. In this study (103), a prosthetic orbital tissue expander,
19
consisting of a compliant silicone balloon with a maximum volume of 3 ml, was inserted
subcutaneously beside the tissues surrounding the anterolateral pharyngeal wall in
anesthetized rabbits. Submucosal extraluminal tissue pressures were monitored throughout
the anterolateral surface, as well as exclusively in the anterior surface, of the pharynx.
Graded saline expansion of the prosthesis from 0 to 1.5 ml progressively decreased
maximum UA-XSA by approximately 20% and increased RUA by approximately 20%.
Interestingly, prosthesis expansion produced more than a 2-fold increase in anterolateral
tissue pressure, yet did not significantly alter anterior tissue pressure, suggesting greater
compressibility of the UA in the lateral-medial axis than in the longitudinal axis. This study
is therefore in agreement with previous studies showing thickening and medial displacement
of the lateral pharyngeal walls are important anatomical correlates of OSA (28, 104).
Role of Peripharyngeal Fluid Accumulation in the Pathogenesis of Obstructive Sleep Apnea
As will be discussed in Section 2.2 of this literature review, overnight accumulation of fluid
in the nuchal/peripharyngeal tissues has recently been demonstrated to play a causative role
in the pathogenesis of OSA (105). Fluid sequestered in the capacitance veins of the legs
during the daytime due to gravity may translocate to the upper body when subjects assume a
recumbent position for sleep. If a significant volume of fluid accumulates in the neck, this
may increase extraluminal tissue pressure of the pharynx, predisposing to UA collapse in a
manner similar to peripharyngeal adiposity. Indeed, the degree of overnight translocation of
fluid from the legs to the neck strongly correlates with degree of OSA severity in sedentary
men (105), non-obese men (46), men with heart failure (HF) (47), and subjects with
refractory hypertension (106). Moreover, in sedentary men, attenuation of this overnight
20
rostral fluid shift by prevention of daytime fluid accumulation in the legs reduces the severity
of OSA, suggesting that overnight nuchal/peripharyngeal fluid accumulation can contribute
to the pathogenesis of OSA (105).
Lung Volume Dependence of Upper Airway Cross-Sectional Area
During inspiration and expiration, UA-XSA increases and decreases, respectively (58). One
factor contributing to this lung volume dependence of UA calibre is the caudal displacement
of the trachea during inspiration (107). This places traction on the UA, lengthening it, and
thereby making it more rigid and increasing its calibre (32, 58). Compared to body weight-
matched, non-apneic control subjects, the dependence of UA-XSA on lung volume is greater
in both obese (108) and non-obese apneics (65). Moreover, and the degree of lung volume
dependence of UA-XSA correlates with OSA severity (109). In obese men with OSA, tonic
activity of the diaphragm decreases at sleep onset, leading to a significant decrease in end-
expiratory lung volume at sleep onset compared to non-obese, non-apneic controls (110).
Thus, a reduction in lung volume at sleep onset may contribute to the increased propensity
for UA narrowing/collapse in OSA patients during sleep.
Age-Related Increase in Upper Airway Collapsibility
OSA prevalence is considerably higher in middle-aged and elderly adults compared to young
adults, and its prevalence increases with age (12, 26, 111, 112). It has been demonstrated that
advanced age is associated with increased UA collapsibility in healthy, non-obese men.
Worsnop and colleagues (113) examined the activity of UA dilator muscles during
wakefulness-to-sleep and sleep-to-wakefulness transitions in 2 groups of healthy, non-obese
21
men: 9 men aged 20-25 years and 9 men aged 42-67 years. Compared to younger men, older
men had greater decreases in UA dilator muscle activity during the wakefulness-to-sleep
transition as well as greater increases during the sleep-to-wakefulness transition. Fogel and
colleagues (114) later conducted similar studies examining UA dilator muscle activity and
RUA during wake-sleep transitioning with and without the application of positive airway
pressure in younger (18-25 years) and older (45-65 years) healthy, non-obese men.
Compared to younger men, older men had a higher waking RUA, which was accompanied by
a higher level of UA dilator muscle activity. During the transition from wakefulness to sleep,
older men had a greater increase in RUA compared to younger men, which was accompanied
by a greater attenuation in UA dilator muscle activity. Interestingly, among older men,
application of continuous positive airway pressure (CPAP) during the wake-sleep transition
decreased levels of both UA dilator muscle activity and RUA down to those observed in
younger men without CPAP. Since dilator muscle activity and RUA are increased in older men,
and CPAP-mediated reduction in RUA is associated with a commensurate reduction in dilator
muscle activity, the age-related increase in UA collapsibility during wake-sleep transitioning
cannot be attributed to a decrease in neuromuscular responsiveness to negative intraluminal
pressure. Thus, this observed relative increase in collapsibility likely suggests that normal
ageing is associated with anatomic narrowing of the UA, increased UA tissue compliance
and/or increased extraluminal tissue pressure (114). Such mechanisms are plausible
explanations for at least some of the increase in OSA prevalence with age independent of
body weight (26).
22
Influence of Sex on Upper Airway Anatomy and Physiology
Although UA-XSA, normalized for body size, is similar between men and women, men have
a more collapsible UA than women (115, 116). A number of factors have been suggested to
explain this increased collapsibility and the subsequent increase in male OSA prevalence,
including differences in peripharyngeal adiposity and sex hormone release. However, none of
these constitute a conclusive explanation (40, 117). As will be discussed in Section 2.2, these
sex differences might be explained at least partially by differences in peripharyngeal fluid
dynamics (4).
Reversal of Collapse
OSA is characterized by temporary cessations of airflow during sleep due to UA obstruction,
rather than a single, fatal episode of UA obstruction. Accordingly, mechanisms exist to
terminate UA obstruction during sleep in order to prevent fatal asphyxiation.
Because of attenuation or cessation of alveolar ventilation during UA obstruction, subjects
become acutely hypoxic and hypercapnic. These stimuli both increase central respiratory
drive, which in turn increases the activity of respiratory pump muscles in a struggle to inspire
against the collapsed UA. These ineffectual inspiratory efforts increase negative intraluminal
UA pressure, which contributes further to UA collapse. In addition, inspiratory efforts
against a collapsed UA produce large, negative swings in intrathoracic pressure (39).
Eventually, the combined effects of hypercapnia, hypoxia and the inspiratory efforts to
breathe lead to a transient arousal from sleep (118), accompanied by an abrupt and marked
increase in respiratory drive. Although it is not entirely clear as to what degree this increase
23
reflects a reflex response to either cortical arousal itself or to the related chemical and
mechanical stimulation of apnea, the increased respiratory drive causes powerful activation
of GG motor units, temporarily resolving obstruction, allowing restoration of airflow (119-
121).
Neuromuscular reversal of UA obstruction is therefore associated with transient cortical
arousal as a key defense against fatal asphyxiation. Some researchers, however, contend that
cortical arousal is not a necessary component of obstructive event resolution (122, 123).
However, this is a controversial concept and constitutes a minority view. The great majority
of obstructive apneas and hypopneas are terminated by an arousal, and abolition of OSA by,
for example, CPAP, invariably reduces the frequency of arousals, indicating that such
arousals are caused by obstructive events (124, 125).
24
2.1.4 Pathophysiological Effects
Excessive Daytime Sleepiness
Recurrent arousal from sleep associated with respiratory disturbances can fragment sleep
markedly, reducing sleep time and quality. Accordingly, EDS is an important, but not
universal symptom of OSA symptom, particularly in patients without stroke or HF (44, 126-
130). EDS is differentiated from fatigue, in that sleepiness refers to a subject’s difficulties in
appropriately maintaining wakefulness throughout the day, whereas fatigue refers to a
subject’s subjective deficits in physical and mental energy that often are not associated with
sleepiness, although patients may use the terms interchangeably (131). The societal costs of
EDS are high, as the presence of OSA increases likelihood for motor vehicle and
occupational accidents and decreased occupational performance (23-25).
Cardiovascular Sequelae
OSA produces a number of adverse effects on the cardiovascular system that, over years,
may contribute to the development of cardiovascular disease. The adverse effects can be
divided into chemical, mechanical, autonomic and oxidative/inflammatory disturbances and
their consequences.
Chemical Effects
The waxing and waning of alveolar ventilation caused by apnea and hypopnea produces a
pattern of chronic intermittent hypoxia (CIH), which, in turn, contributes to the mechanical,
autonomic and oxidative/inflammatory disturbances of OSA.
25
Mechanical Effects
CIH induces hypoxic pulmonary vasoconstriction that increases pulmonary artery pressure
and thereby increases right ventricular (RV) afterload. Ineffectual inspiratory efforts against
the occluded UA exaggerate normal inspiratory negative intrathoracic pressure swings (132).
By increasing the difference between intra-ventricular and intrathoracic pressure, exposure of
the left ventricle (LV) to these negative pressure swings increases LV transmural pressure
and thus afterload. Additionally, exposure of the thoracic aorta to negative intrathoracic
swings may promote aortic expansion (133) and/or dissection (134). Negative intrathoracic
pressure also increases the pressure gradient for venous return from the peripheral vessels
outside the thorax to the right heart, thus increasing preload of the RV (132). Subsequent
distension of the RV, coupled with the increase in RV afterload from hypoxic pulmonary
vasoconstriction, can induce tricuspid regurgitation (135), which may cause peripheral
edema. Moreover, the increases in RV preload and afterload can cause a leftward shift of the
intraventricular septum during diastole (132). This impedes LV filling, thereby reducing LV
end-diastolic volume, stroke volume and cardiac output (136, 137).
Autonomic Effects
Each of hypoxia, hypercapnia, reduced cardiac output and arousal from sleep increase
sympathetic nervous firing rate at the end of each apnea (39). This, in turn, causes recurrent
elevations in BP and heart rate (HR) that increase further the mechanical load on the LV (39,
138, 139). The combination of reduced myocardial oxygen delivery due to apnea-related
hypoxia and increased myocardial oxygen demand can lead to myocardial ischemia in the
presence of flow-limiting coronary arterial lesions (140, 141). Furthermore, chronic exposure
26
of the myocardium to high levels of norepinephrine can stimulate myocyte hypertrophy,
apoptosis and necrosis (142-145). Thus, OSA exerts several adverse effects on ventricular
structure and function that can ultimately contribute to the development of HF (22).
Increased sympathetic activation caused by hypoxia in the systemic circulation during sleep
may induce persistent systemic arterial vasoconstriction and diurnal hypertension, perhaps
due to augmentation of peripheral chemoreflex sensitivity or upregulation of central
sympathetic outflow (146-150). Indeed, approximately 40% of OSA patients are
hypertensive (151).
Arousals from sleep cause recurrent withdrawal of efferent parasympathetic (i.e. vagal)
outflow to the heart, leading to surges in HR at the termination of apnea (139). The
combination of right and left atrial stretch due to negative intrathoracic pressure, CIH,
sympathetic activation and vagal withdrawal can trigger atrial fibrillation (152, 153).
Ventricular arrhythmias may also occur in response to increased RV and LV afterload,
sympathetic activation, vagal withdrawal and myocardial ischemia. Indeed, a large-scale
observational study found patients with OSA to be at significantly greater risk for ventricular
tachycardia and ventricular ectopy than appropriately-matched controls (52). Similarly, in an
observational study of 283 patients with HF, those with untreated sleep apnea (n = 113) were
at greater risk for malignant ventricular arrhythmia than those with no/mild sleep apnea
breathing (n = 170) (154).Ventricular arrhythmias appear to be triggered by apnea and
hypopnea, as arrhythmias are approximately 18 times more likely to occur following such
events than during normal breathing in subjects with sleep apnea (155). Additional causative
27
evidence has been generated by a randomized controlled trial involving 18 HF patients,
demonstrating that treatment of OSA by CPAP for 1 month reduced the frequency of
ventricular premature beats during sleep by 58% (156).
Oxidative/Inflammatory Effects
The CIH of OSA can promote oxidative stress and a pro-atherosclerotic systemic
inflammatory response similar to that induced by ischemia/reperfusion injury (157). Markers
of systemic inflammation, including matrix metalloproteinase-9, C-reactive protein,
interleukin-6, interleukin-18 and tumour necrosis factor-α, are elevated in the serum of OSA
patients compared to weight-matched controls (158, 159). Increased carotid intima-media
thickness (CIMT) and decreased pulse transit time, both indices of early atherosclerosis, are
present in patients with OSA and correlate with the AHI and degree of apnea-related hypoxia
(159, 160). Similarly, in patients with stable coronary artery disease, the AHI is shown to
correlate with coronary atherosclerotic plaque volume, as assessed by 3-dimensional
intravascular ultrasound.(161) Treatment of OSA by CPAP reduces carotid intima-media
thickness and increases pulse transit time (162).
Additionally, oxidative stress can promote hypertension in OSA patients through impairment
of nitric oxide-dependent vasodilation via damage to the vascular endothelium (157, 163). In
turn, hypertension also appears to promote carotid atherosclerosis: Drager et al.(164) found
that carotid intima-media thickness is increased independently by either OSA or hypertension
and that the coexistence of both conditions is associated with an additive increase in carotid
intima-media thickness.
28
Regardless of its cause, the increase in carotid atherosclerosis with OSA may be reflected as
an increase in stroke risk, as the presence of carotid atherosclerosis correlates well with the
presence of intracranial atherosclerosis (165). Indeed, moderate-to-severe OSA is associated
with a 3-4 fold increased risk of stroke, and the prevalence of OSA is 4-6 fold greater in
stroke patients compared to the general population (166, 167).
29
2.1.5 Screening and Diagnosis
Clinical Presentation
In addition to the risk factors mentioned in the previous section, there are a number of
symptoms commonly associated with OSA. Patients often present to clinic with complaints
of EDS, recurrent awakenings from sleep, unrefreshing sleep, morning headaches, daytime
fatigue and/or impaired concentration (8, 125, 131) Additionally, patients (or their bed
partners) may report habitual snoring, choking, gasping or apneas during sleep (8, 125).
Assessment of Oropharyngeal Crowding
Oropharyngeal crowding can be associated with OSA and can be assessed using the
Mallampati Scale. The Mallampati Scale was originally devised to predict the degree of
difficulty in endotracheal intubation by visual assessment of oropharyngeal structures (168).
The Mallampati Scale ranges from 1 to 4; a score of 1 indicates full visibility of the tonsillar
pillars, uvula, fauces and soft palate, 2 indicates visibility of the uvula, fauces and soft palate,
3 indicates visibility of the soft palate and the base of the uvula and 4 indicates no visibility
of any of these structures, with only the hard palate visible (169). Mallampati Scale score
correlates with the presence and severity of OSA, such that every 1 point increase in
Mallampati Scale score is associated with both a 2.5-fold increased odds for having OSA as
well as a 5-unit increase in AHI (29).
30
Screening Questionnaires
Due to considerations of cost, availability and time, the use of overnight PSG to diagnose
OSA may not be a realistic routine option in many health care settings. Where access to PSG
is limited, screening procedures have been used to assess the likelihood of OSA, so that only
those with a high likelihood of having OSA go on to complete a PSG. Questionnaires have
been developed to assess the likelihood of a person having OSA, such as the Epworth
Sleepiness Scale (ESS) (170), Berlin Questionnaire (BQ) (171) and others (172-174).
Using a scale of 0-24, the ESS assesses self-reported propensity to fall asleep under several
conditions commonly encountered in daily living (170) (Appendix 1). A score of 0 represents
the least tendency toward sleepiness, whereas a score of 24 represents the greatest tendency;
scores > 10 are considered to indicate clinically-significant EDS (170, 175). Among
otherwise-healthy OSA patients, there is a modest but significant correlation between ESS
score and AHI (170, 175).
The BQ was designed to predict the presence of OSA within the general population (171)
(Appendix 2). The BQ is a self-administered questionnaire that assigns a score of 0-3 based
on BMI as well as responses to categories of questions regarding history of snoring, daytime
sleepiness and hypertension. Patients with scores of 0 or 1 are said to be at low risk of OSA,
whereas those with scores of 2 or 3 are said to be at high risk. In evaluating its value against
unattended, at-home cardiorespiratory monitoring in a population of 100 primary care
patients, the BQ was demonstrated to predict an AHI > 5 with 86% sensitivity and 77%
specificity (171).
31
Diagnosis
The standard means of diagnosing OSA is overnight, in-laboratory PSG, attended by a sleep
technician (125). PSG consists of electroencephalography (EEG), electrooculography (EOG),
submental and anterior tibial electromyography (EMG), air flow, respiratory movement,
arterial hemoglobin oxygen saturation (SaO2) and electrocardiography (ECG). Several
variables can be derived from these physiological signals, including wake and sleep time,
sleep stages, arousals, the number, frequency and distribution of apneas and hypopneas and
the degree of oxygen desaturation.
From PSG data, the physiological severity of OSA can be measured and expressed via the
AHI. Sleep laboratories that use AASM criteria classify an AHI of 5 to < 15 as mild OSA, an
AHI of 15 to ≤ 30 as moderate OSA and an AHI of > 30 as severe OSA. However, sole
consideration of the AHI is insufficient, as clinical evaluation of patients’ symptoms is
critical to the diagnosis of OSA.
32
2.1.6 Treatment
General Strategies for Treatment of Obstructive Sleep Apnea
Due to the association between OSA and peripharyngeal adiposity, weight reduction is
recommended routinely in overweight and obese OSA patients. Additionally, OSA patients
are advised routinely to avoid consuming ethanol or sedative medication before bedtime, as
these increase the duration and frequency of obstructive events, likely by dampening
genioglossal activity and/or prolonging the time to arousal following obstruction (176-180).
In patients with mild OSA, successful implementation of these lifestyle modifications may be
sufficient to reduce AHI to < 5 (181). However, substantial weight loss may be difficult to
achieve by diet and exercise alone. In addition, patients with moderate-to-severe OSA often
require additional treatment(s) to manage this condition.
Continuous Positive Airway Pressure
CPAP is the standard form of therapy for most patients with OSA. CPAP delivers
pressurized room air to the UA via a nasal or oronasal mask, pneumatically splinting open
the UA to prevent its collapse. When titrated to the appropriate pressure, CPAP eliminates
apnea, hypopnea, snoring, CIH, exaggeratedly-negative intrathoracic pressure swings and
bursts of sympathetic nervous system activity caused by OSA (182-185). Accordingly, CPAP
use reduces immediately symptoms of EDS (184, 186-188). The degree of symptom
reduction correlates directly with nightly hours of CPAP use (189). Moreover, CPAP use
greatly reduces the frequency respiratory arousals, consolidates sleep and increases slow-
wave sleep and REM sleep time without decreasing totals sleep time (186, 190-194).
Randomized controlled trials reveal that, in addition to improving subjective and objective
33
measures of daytime sleepiness, regular CPAP use also improves significantly quality of life
and cognitive function (195, 196). Additionally, observational studies report that OSA
patients on long-term CPAP therapy have lower rates of overall and cardiovascular mortality
compared to non-treated patients (21, 197-199).
Oral Appliances
An oral appliance that advances the mandible or protrudes the tongue may also be prescribed
to treat OSA and/or snoring. These are mouthguard-style devices that allow the mandible to
rest passively at a more anterior displacement by anchoring against the upper teeth. Such
advancement of the lower jaw is thought to help prevent posterior relapse of the tongue as
well as to increase radial traction on the UA wall. Initially, it was presumed that this
appliance’s effects were purely anatomic, because advancement of the mandible increases
UA size and decreases the static compliance of the pharynx (200). However, mandibular
advancement also augments GG, geniohyoid and masseter muscle firing in awake subjects
(201) as well as masseter and submental muscle firing in sleeping subjects (202). The
pharyngeal section in which cross-sectional area is increased in response to mandibular
advancement may vary between patients, affecting either the retroglossal and/or retropalatal
areas of the pharynx (203-205). There are a number of different styles of oral appliances,
including off-the-shelf models made of thermosensitive materials that patients mold to their
own teeth at home, as well as appliances that are custom made by dentists. Custom-made
appliances often carry the advantage of being adjustable, so that the anterior displacement of
the mandible can be titrated gradually without having to purchase another appliance. The
efficacy of oral appliances in treating OSA has not been adequately assessed via a
34
randomized controlled trial. A large-scale meta-analysis conducted by Hoffstein concluded
that oral appliances have a success rate of approximately 50% for reducing the AHI to < 10
(200). The same analysis found a mean reduction in AHI of 42% with oral appliance therapy,
compared to a 75% reduction with CPAP. Accordingly, although its efficacy is considerably
less than that of CPAP mandibular advancement is a potential alternative for patients with
mild-to-moderate OSA who do not tolerate CPAP.
Postural Therapy
In some patients, OSA occurs primarily or exclusively while sleeping in the supine position,
probably because this position facilitates relapse of the tongue against the posterior
pharyngeal wall. In such patients, avoidance of sleeping supine may be an effective therapy
for OSA. Strategies to avoid sleeping supine include sewing a tennis ball into the back of a
shirt, wearing commercially-available garments with a ball(s) or cylinder(s) sewn in the back,
or using an apparatus consisting of a vest fastened to a board placed under a pillow that
makes sleeping supine difficult or impossible (206). In a randomized crossover trial in 13
patients with supine-related OSA comparing 2 weeks use of a backpack with a ball in it to
CPAP, the backpack eliminated supine sleep and caused a reduction in the AHI similar to
that observed with CPAP (207).
Venous Compression Stockings
Venous compression stockings (CS), which increase extravascular tissue pressure of the calf
and thereby decrease dependent fluid accumulation in the legs, have been suggested recently
as a novel treatment for OSA in sedentary patients (105). As will be discussed in Section
35
2.2.6, prevention of daytime sequestration of fluid in the legs, and thus of subsequent
translocation of fluid from the legs to the neck overnight, can reduce the severity of OSA in
sedentary subjects.
Surgery
Uvulopalatopharyngoplasty and other surgeries that excise portions or all of the uvula and
soft palate aim to treat OSA and/or snoring by increasing UA luminal size or by inducing
localized fibrosis, stiffening UA soft tissue structures that are vulnerable to collapse. The
effectiveness of these surgeries is lower than that of CPAP: although
uvulopalatopharyngoplasty has yet to be evaluated in a randomized clinical trial, Hoffstein’s
meta-analysis found this surgery to cause a mean reduction in AHI of 30%, compared to a
75% reduction with CPAP (200).In a follow-up questionnaire completed by nearly 200
patients who received uvulopalatopharyngoplasty or a similar surgery, only 37% reported
improvement in sleep quality following the surgery, and just 34% claimed to benefit from a
reduction in snoring that was sustained for over 2 years (208). Less than half of all subjects
claimed they would choose the surgery again if given the chance.
36
2.2 ROSTRAL FLUID SHIFT
2.2.1 Introduction
Although obesity, peripharyngeal adiposity and large NC are risk factors for OSA, the
majority of subjects with OSA are not obese (26). Additionally, measures of body habitus
and NC together account for only one-third of the variability in AHI between OSA patients
(30-33). Accordingly, factors other than body habitus and NC must play a role in the
pathogenesis of OSA. One such factor may be fluid accumulation in the neck and
peripharyngeal tissues.
37
2.2.2 Relationship of Peripharyngeal Edema to Obstructive Sleep Apnea
In 1990, Wasicko and colleagues (209) studied 9 anesthetized, paralyzed and vagotomized
cats in which the UA was surgically isolated. Intravenous (IV) administration of vasodilator
agents (paparavine or sodium nitroprusside) increased UA collapsibility by 30% (quantified
by an increase in Pcrit from baseline). This increase in collapsibility was accompanied by a
decrease in UA-XSA, assessed by MRI. In 3 of these cats, the investigators generated static
pressure-volume curves by manipulating the volume of a syringe connected to the caudal end
of the UA. The curves were similar under both the control and vasodilator conditions,
indicating that pharyngeal vasodilation likely increased UA collapsibility as a result of
peripharyngeal fluid accumulation, rather than an increase in tissue compliance. The authors
speculated that mucosal congestion may be an important mechanism facilitating and
exacerbating OSA (209).
Subsequently, these investigators demonstrated in healthy men that topical application of the
vasoconstrictor phenylephrine to the UA mucosa decreased RUA (210). However, 3 aspects of
this study limited its relevance to the pathogenesis of OSA. First, a pharmacologic
intervention was required to induce changes in RUA. Second, subjects were studied while
awake and seated, rather than while asleep and recumbent. Third, only healthy subjects
without OSA were studied. Nevertheless, these findings were important because they
suggested that changes in peripharyngeal fluid content, in this case due to vasodilation or
vasoconstriction, can alter UA morphology and mechanics.
38
Anastassov and colleagues analyzed uvulopalatal surgical specimens from 5 OSA patients
and found evidence of stromal and subepithelial edema, along with increased vascularity,
vascular dilation and vascular congestion (211). However, they were unable to determine
whether UA edema was a cause, or a consequence, of OSA. For example, edema could be
secondary to inflammation of the UA soft tissues in OSA, caused by local vibratory trauma
from snoring and by systemic release of inflammatory mediators from CIH. Moreover, UA
mucosal water content as assessed by MRI is significantly decreased in OSA patients
following chronic CPAP treatment, suggesting that treating OSA reduces UA edema (212).
39
2.2.3 Experimentally-Produced Rostral Fluid Shift Studies
Shepherd and coworkers were the first to examine the possible effect of shifting fluid from
the legs to the upper body on UA properties in subjects with OSA (213). With subjects
supine, they evaluated changes in UA-XSA by computed tomography in response to 1)
raising the legs to displace fluid into the upper body, and 2) occluding thigh veins with blood
pressure cuffs inflated to 40 mm Hg to reduce venous return to the right heart and reduce
venous volume of the neck. However, they did not measure indices of fluid displacement
from the legs or of fluid movement into the neck, and therefore could not determine whether
they were successful in doing so. Although there were tendencies for leg raising and thigh
vein occlusion to decrease and increase UA-XSA, respectively, these were not statistically
significant. This may have been due either to an inability of either intervention to alter neck
or peripharyngeal fluid volume or to inadequate sample size.
Subsequently, Chiu et al.(1) evaluated the effect on RUA of rostral fluid shift in non-obese,
healthy subjects by inflating medical anti-shock trousers (MAST) to shift fluid from the legs
to the neck. The MAST extended from ankles to the upper thighs and were inflated to a
pressure of 40 mm Hg. Chiu and colleagues employed a randomized double cross-over study
design to compare this application of lower body positive pressure (LBPP) for 5 minutes to a
5-minute control period, during which the MAST were not inflated. Leg fluid volume (LFV)
of one leg and NC were measured via bioelectrical impedance and mercury strain gauge
plethysmography, respectively. Pressure-sensitive catheters were placed in the nasopharynx
and oropharynx, and transpharyngeal pressure was calculated as the difference between these
two pressures. Airflow was measured by a pneumotachygraph fitted into an airtight facemask,
and RUA was calculated by dividing transpharyngeal pressure by airflow. Measurements of
40
LFV, NC and RUA were made at baseline and then after 1 and 5 minutes of the control and
LBPP periods. Application of LBPP produced a mean decrease in LFV of one leg of 170 ml.
Assuming equal fluid displacement from both legs, a total of approximately 340 ml was
displaced. NC increased significantly from baseline by 0.3% and 0.22% after 1 and 5 minutes
of LBPP, respectively. This was accompanied by a 40% increase in RUA after 1 minute. This
increased further to 100% after 5 minutes of LBPP. Because UA-XSA and RUA are lung-
volume dependent, it was possible that LBPP induced an increase in lung water which could
have reduced lung volume and this induced an increase in RUA. To rule out this possibility,
Chiu and colleagues assessed total lung capacity by helium dilution before and after
application of LBPP in a subset of the subjects. They found that LBPP did not induce any
change in total lung capacity and, therefore, that the LBPP-induced increases in RUA could
not be attributed to a decrease in lung volume. Subsequently, Shiota and colleagues, using
the same protocol except that UA-XSA measured by ARP was assessed instead of RUA,
found LBPP caused a significant 9% decrease in UA-XSA (2). Thus, narrowing of the UA
was the probable cause of the previously-described increase in RUA (1). Subsequently, Su and
colleagues conducted 2 studies investigating the change in UA collapsibility with LBPP
assessed by Pcrit during wakefulness (3, 4). In their first study (3), they found that the
previously-employed LBPP protocol increased Pcrit compared to control in 13 healthy men.
In their following study, they compared the effects of LBPP on Pcrit between 14 healthy men
and 13 healthy women. Although LBPP caused similar changes in LFV and NC in both men
and women, Pcrit increased significantly in men but was unchanged in women, suggesting a
different response between men and women to rostral fluid shift.
41
Although these LBPP studies demonstrated that experimentally-induced rostral fluid shift
could increase NC, RUA and Pcrit, and reduce UA-XSA, they were performed during
wakefulness under artificial conditions, and thus it remained unclear whether these results
could be extrapolated to sleep under spontaneous conditions.
42
2.2.4 Relationship Between Spontaneous Overnight Rostral Fluid Shift and Obstructive
Sleep Apnea
Healthy, Non-Obese Men
Redolfi and colleagues were the first to evaluate whether fluid was displaced spontaneously
from the legs overnight, and whether the volume displaced was related to the severity of
OSA (46). They studied 23 non-obese, otherwise healthy men who were referred for
diagnostic PSG because of a clinical suspicion of OSA. Immediately before and after the
PSG, LFV and NC measurements were made, via bioelectrical impedance and tape measure,
respectively, with subjects in the supine position. Prior to the PSG, subjects also filled in a
questionnaire to document the time spent sitting, standing and lying down each hour from the
time they awoke in the morning to the time they visited the sleep laboratory. The
experimenters made several important observations. First, LFV decreased spontaneously
overnight (mean ∆LFV of one leg = -133 ml). Second, the decrease in LFV was accompanied
by a mean increase in NC of 1.0 cm and the ∆NC was inversely proportional to ∆LFV (r =
-0.79, P < 0.001). Third, the AHI correlated strongly with the overnight ∆LFV according to
an inverse exponential relationship (r = -0.802, P < 0.001). Moreover, a similarly strong
inverse correlation was observed between ∆LFV and the overnight change in NC, indicating
that some of the fluid that left the legs overnight translocated into the neck. Multivariable
analysis demonstrated that the overnight changes in NC and LFV were independent
correlates of the AHI, and that these 2 variables together explained 68% of the AHI
variability between subjects. Fourth, ∆LFV correlated strongly and inversely with the amount
of time that subjects reported sitting during the day preceding the PSG (r = -0.588, P < 0.01).
This suggested that, in non-obese men, daytime sequestration of fluid in the lower
43
extremities, promoted by prolonged sitting with insufficient calf muscle activity to prevent
fluid accumulation in the legs, was related to the degree of overnight fluid displacement from
the legs and, subsequently, to OSA severity. However, these observations did not establish a
causal relationship between overnight rostral fluid shift from the legs OSA.
Men with Heart Failure
Subsequently, Yumino et al. extended this concept to the study of 57 men with HF (ejection
fraction ≤ 45%) (47). LFV and NC were measured immediately before and after PSG. On the
basis of PSG results, subjects were classified as obstructive-dominant (≥ 50% of apneas and
hypopneas were obstructive; n = 35) or central-dominant (> 50% of apneas and hypopneas
were central; n = 22). Subjects in obstructive- and central-dominant groups were classified as
having OSA or CSA, respectively, if their AHI was ≥ 15. Overnight, the obstructive-
dominant group experienced a ∆LFV of -173 ml (one leg), a ∆NC of +0.7 cm and an AHI of
27. There were strong inverse relationships between ∆LFV and ∆NC (r = -0.78, P < 0.001)
and between ∆LFV and AHI (r = -0.88, P < 0.001), but there was no relationship between
AHI and mean transcutaneous PCO2 during sleep in the obstructive-dominant group. The
central-dominant group experienced ∆NC and AHI but had twice as great a decrease in LFV
as the obstructive-dominant group. The relationships observed between ∆LFV and ∆NC and
between ∆LFV and AHI were similar to those observed in obstructive-dominant group.
However, in contrast to the obstructive-dominant group, there was an inverse linear
relationship between ∆LFV and mean transcutaneous PCO2 during sleep in the central-
dominant group. In all subjects, the magnitude of ∆LFV was related not only to the severity
of sleep apnea, but also to the type, with increasingly greater decreases in LFV corresponding
44
to no/mild sleep apnea (AHI < 15, mean ∆LFV = -100 ml ), to OSA (AHI ≥ 15, mean ∆LFV
= -235 ml), and to central sleep apnea (AHI ≥ 15, mean ∆LFV = -400 ml). Thus, the authors
of this study came to the conclusion that overnight rostral fluid shift may be considered a
unifying concept for the pathogenesis of both obstructive and central sleep apnea in HF. In
patients with OSA, a proportion of the fluid that displaced from the legs reached the neck
promoting UA obstruction. In patients with central sleep apnea, a similar volume of fluid
accumulated in the neck, as evidenced by the similar increase in NC. However, because the
overnight ∆LFV was twice that of patients with OSA, part of the excess fluid must have
redistributed elsewhere. The observation that ∆LFV was inversely related to transcutaneous
PCO2 suggests that some of the excess fluid may have accumulated in the lungs, activating
pulmonary receptors, augmenting respiratory drive and causing PCO2 to decrease.
In patients with OSA, it is possible that generation of negative intrathoracic pressure could
draw blood from the legs into the thorax, increasing RV filling pressure and thus distending
the neck veins. If so, fluid shift from the legs to the neck could be secondary to OSA, rather
than a cause of OSA. Therefore, to test the hypothesis that rostral fluid shift from the legs
was a primary phenomenon, and not secondary to OSA, in the same study Yumino et al. (47)
also evaluated the effect of CPAP on ∆LFV, ∆NC and AHI in 20 of the obstructive-dominant
patients with an AHI ≥ 15. CPAP decreased the AHI (from 38 to 12, P < 0.001) and
attenuated the overnight increase in NC (from 0.9 cm to 0.2 cm, P< 0.001), but it did not
significantly alter ∆LFV. Because ∆LFV was unaffected by CPAP, overnight rostral fluid
shift cannot be secondary to the apnea-related generation of negative intrathoracic pressure,
since CPAP abolishes such negative intrathoracic pressure (39). Moreover, the observation
45
that CPAP attenuated the increase in NC suggests that another mechanism of action by which
CPAP maintains UA patency and alleviates OSA, besides by acting as a pneumatic splint, is
by preventing fluid accumulation in the neck. This mechanism is consistent with findings of
a study that showed that in patients with OSA, but without HF, chronic CPAP use was
associated with a reduction in peripharyngeal edema and an increase in UA-XSA (212).
Subjects with Hypertension
Friedman et al .(106) evaluated the relationship between spontaneous overnight rostral fluid
shift and OSA severity in men and women with either controlled (n = 15) or drug-resistant (n
= 25) hypertension. Subjects with drug-resistant hypertension exhibited a larger overnight
∆LFV (-347 ml versus -176 ml; P < 0.001), a greater increase in NC and a higher AHI. When
both groups of subjects were considered together, a strong, exponential relationship was
found between ∆LFV and the AHI (r = -0.75, P < 0.0001). Moreover, there was no
significant association between the AHI and BMI or baseline NC, suggesting that the degree
of overnight rostral fluid shift played a more important role than body habitus in the
pathogenesis of OSA in these hypertensive subjects.
Thus, in healthy, non-obese men, men with HF and subjects with hypertension, a strong
relationship exists between overnight rostral fluid shift and OSA severity. However, since the
studies that revealed such relationships were all observational, they did not establish a
causative role for overnight rostral fluid shift in the pathogenesis of OSA.
46
2.2.5 Probable Relationship between Overnight Rostral Fluid Shift and OSA Prevalence
in Men and Fluid Overloaded Patients
Men
The prevalence of OSA is 2-3 times higher in men than in women (12, 13, 26, 40). A number
of explanations have been proposed. For instance, the visceral/centripetal pattern of adipose
distribution found typically in men is thought to contribute more to peripharyngeal adiposity
than does the subcutaneous pattern of adipose accumulation in the hips and thighs found
typically in pre-menopausal women (58). Also, the collapsible segment of the UA appears to
be significantly longer in men than women, even when normalized for body height,
suggesting a morphological predisposition of the UA to collapse in men (214). Despite the
plausibility of these explanations, none explain conclusively the much higher prevalence of
OSA in men (40, 117). Another possible explanation for the higher prevalence in men is a
differential response to rostral fluid shift, as first suggested by Su et al.’s findings that LBPP-
induced rostral fluid shift increased Pcrit in men but not in women (4).
In another study, conducted in men and women with HF, Kasai and colleagues (117)
measured LFV and NC immediately before and after PSG. They showed that, although the
magnitude of overnight LFV reduction was similar in men and women (-154 ml versus -161
ml, P=0.547), the overnight increase in NC was much greater in men than in women (1.0 cm
versus 0.2 cm, P < 0.001). Furthermore, whereas in men the ∆LFV correlated strongly with
increases in both NC (r = -0.771, P<0.001) and with AHI (r = -0.737, P<0.001), no such
relationships existed in women. This suggests that, in men, a substantial portion of the
overnight fluid movement out of the legs is redistributed into the neck where it can narrow
47
the UA and contribute to the pathogenesis of OSA. Conversely, in women, a smaller
proportion of the overnight movement of fluid out of the legs accumulates in the neck and
bears no relationship to OSA severity. These findings also imply that a substantial proportion
of the fluid displaced from the legs overnight is sequestered below the neck in women,
possibly in the abdominal and/or pelvic capacitance vessels. If so, such substantial fluid
sequestration may be one mechanism preventing women from developing OSA as often as
men. Compared to men, women have much larger gonadal veins (215) that could act as a
fluid reservoir, particularly during pregnancy when women develop fluid retention and leg
edema. Fluid sequestration in the pelvic veins, and possibly other capacitance vessels, could
prevent fluid movement in the neck and might prevent OSA. This hypothesis merits testing
in further studies.
Edematous patients
The prevalence of OSA is substantially higher in patients with HF and ESRD than in the
otherwise healthy population (36-41, 117). A common feature of both HF and ESRD is
dependent fluid retention (48). Accordingly, a possible explanation for the elevated
prevalence of OSA in these patients is that excessive fluid retention predisposes to greater
overnight rostral fluid shift into the neck and peripharyngeal tissues, leading to higher rates
of UA obstruction during sleep, and thus of OSA. Indeed, such an explanation is supported
strongly by the current literature.
As already mentioned, OSA severity has been shown to correlate strongly with overnight
∆LFV in men with HF (47, 117). Moreover, in patients with diastolic HF, intensive fluid
48
unloading with IV diuretics decreased AHI and increased UA-XSA, respectively, by
approximately 25% (216).
Similarly, a few studies have examined the effect of targeted overnight fluid removal via
nocturnal dialysis on OSA severity in ESRD patients. Hanly and Pierratos (38) performed
PSG in ESRD patients who were on conventional thrice-weekly hemodialysis before, and
then at least 6 weeks after patients converted to nightly nocturnal hemodialysis. The mean
AHI dropped from 25 on conventional to 8 once on nocturnal hemodialysis. Similarly, Tang
et al. (217) demonstrated that nocturnal cycled peritoneal dialysis in ESRD patients with
severe OSA significantly reduced AHI in association with a greater reduction in total body
water at night compared to 24-hour ambulatory peritoneal dialysis. Thus, the higher
prevalence of OSA in ESRD patients appears to be at least partially related to fluid retention,
particularly at night. However, since both of the above studies were not randomized, but
rather, were before-and-after studies, a causative role of fluid retention in OSA has yet to be
demonstrated conclusively in ESRD patients.
Ifitkhar and colleagues published a retrospective analysis (218) of PSGs from 378 patients
with severe OSA but without a history of renal, pulmonary or hepatic disease or of HF.
Thirty-five percent of the patients had significant edema, defined as the presence of ≥ 1+
edema on a scale of none, trace, 1+, 2+ or 3+ assessed during a physical examination.
Furthermore, after correcting for age, BMI and presence of hypertension and/or diabetes
mellitus, the AHI was 46% higher in edematous subjects than in non-edematous subjects.
However, because they did not measure fluid volumes in various body segments, they were
49
unable to determine the cause of this relationship. Taken together, the above studies suggest
that fluid retention -- regardless of etiology – and its overnight rostral displacement are
related to the presence and severity of OSA.
50
2.2.6 Effect of Venous Compression Stockings on Overnight Rostral Fluid Shift and
Severity of Obstructive Sleep Apnea
To determine whether overnight rostral fluid displacement from the legs contributes to the
pathogenesis of OSA, Redolfi and colleagues (105) studied the effects of wearing CS on
overnight ∆LFV and AHI in 6 non-obese ( BMI < 30 kg/m2) sedentary men (i.e. they
reported sitting for at least 10 hours per day). After diagnosis of OSA (AHI ≥ 15) through
clinical PSG, subjects underwent repeat overnight PSG, before and after which LFV and NC
were measured. After waking up in the sleep laboratory the next morning, subjects donned
off-the-shelf, below-the-knee CS designed to apply a pressure of approximately 20 mm Hg.
They wore them the entire day, and then returned to the sleep laboratory at night and
removed the CS just before a repeat PSG was performed. LFV and NC were again measured
before and after PSG. By compressing the capacitance vessels of the legs and increasing
hydrostatic tissue pressure, CS prevent accumulation of fluid into the capacitance vessels of
the calf and transudation of capillary fluid to the interstitial tissues of the legs. Thus, they
counteract gravity-dependent fluid accumulation within the legs (219).
Compared to the baseline values, daytime CS use decreased the mean pre-sleep values for
ankle circumference by 4-6%, and the mean overnight values of ∆LFV by 40% and of ∆NC
by 42%. Subsequently, median AHI was decreased by 24% (from 30.9 to 23.4, P = 0.016).
Thus, the authors concluded that, in sedentary, non-obese men with OSA, use of CS for one
day reduces dependent fluid accumulation in the legs during the day, thereby reducing the
spontaneous displacement of fluid from the legs to the neck overnight and consequently
reduces the severity of OSA. This provided evidence for a causative relationship between
51
overnight fluid displacement into the neck and OSA. However, there were limitations to their
study, including a small sample size, short duration and non-randomized design that limited
the generalizability of their findings.
52
2.2.7 Rationale for Further Evaluation of Fluid-Mediated Upper Airway Obstruction
During Sleep
Although Redolfi et al. provided proof-of-principle that overnight rostral fluid shift can
contribute directly to OSA severity (105), there are no experimental data that show that fluid
loading can provoke UA narrowing and obstruction to airflow during sleep. Accordingly,
further experiments investigating the potential role of fluid loading in UA obstruction during
sleep are warranted.
A number of studies have acutely and reversibly induced OSA and/or repetitive UA
obstruction in healthy subjects during sleep (220-229). For instance, in one study, repetitive
UA occlusions during sleep were induced by application of negative pressure through a nasal
mask, with no adverse events reported (228). In a study that examined the association
between nasal obstruction and OSA, 7 men slept while their nostrils were completely
obstructed with gauze; this induced moderate-to-severe OSA in all subjects but did not evoke
any adverse effects (229). In a study of 7 healthy men, 4 different inspiratory resistance loads
of increasing resistance (4-25 cm H2O·l-1·s) were applied periodically every 8 minutes for 4
minutes at a time throughout a full night’s sleep, inducing oxygen desaturations of 1-2%; no
clinically-significant symptoms or signs were reported (230). AHI and arousals were not
reported.
Additionally, several studies have evaluated the effects of intermittent hypoxia (IH) in
healthy subjects. For example 18 healthy subjects were exposed to 8-9 hours of IH per night
53
for either 14 (n = 10) or 28 (n = 8) consecutive nights (223). IH was induced by having the
subjects sleep in tents with ambient PO2 values low enough to produce a baseline SaO2 of 82-
85%, while 15-second boluses of 100% oxygen were delivered via nasal cannulae every 2
minutes. This induced mean oxygen desaturations to 85% SaO2 at a frequency of 30
desaturations per hour. The authors reported that subjects tolerated the exposure well, and the
only adverse effect of the study that could be attributed to the IH was mild morning headache.
In summary, the above evidence provides a strong rationale to conduct a study to evaluate the
effects of fluid loading on UA size and obstruction during sleep. Since other experimental
means of inducing UA obstruction, apneas, hypopneas and IH have been shown to be safe,
such a study should be medically and ethically acceptable.
54
2.3 EXPERIMENTAL FLUID LOADING
One of the challenges of determining whether fluid loading during sleep will narrow the UA
and induce UA obstruction is finding a practical method for increasing nuchal or
peripharyngeal fluid volume during sleep. Application of LBPP by inflating MAST induces
peripharyngeal fluid accumulation in awake subjects (1-4). However, we have found in
preliminary experiments that inflation of MAST during sleep invariably wakes the subject up,
and so this method does not appear suitable for our purposes. Moreover, although use of
MAST for < 1 hour is safe, multiple case reports (231-233) describe patients developing
compartment syndromes in the legs in association with just a few hours of MAST use,
emphasizing the unsuitability of using MAST in sleeping subjects for our purposes.
An alternative technique for fluid loading of the neck is an IV fluid infusion during sleep. In
order to avoid induction of adverse electrolyte imbalances, IV fluid administered in large
quantities must be isotonic to plasma. Normal saline, comprised of 0.9% NaCl in water, is
isotonic to plasma, and is often used for treatment of non-hemorrhagic hypovolemia (58,
234) and in studies examining the physiological effects of acute systemic fluid expansion in
euvolemic subjects.
55
2.3.1 Safety of Rapid Intravenous Administration of Normal Saline
The main clinical concern associated with fluid overload is the development of pulmonary
edema, which can induce dyspnea, impair pulmonary gas exchange and, in extreme cases,
lead to death if untreated.
A number of studies have demonstrated that a rapidly-administered saline bolus of 22 ml/kg
body weight is safe in healthy volunteers (235-237). Additionally, there is considerable
clinical evidence suggesting that infusion of approximately 20 ml/kg is well below the
threshold to cause harm. In a retrospective analysis of post-surgical fluid management,
iatrogenic fluid overload was defined as an acute gain in body weight >10% as a result of IV
fluid administration (238). This corresponds to an acute saline infusion dose of 100 ml/kg;
beyond this threshold, mortality was significantly increased. In other retrospective analyses
of post-surgical patients, the mean IV fluid volume necessary to produce pulmonary edema
was either 7.0L in the first post-operative day (239), or 2.9L/day over a mean duration of 4.7
days post-operatively (240). Thus, a single 22 ml/kg dose of normal saline, corresponding to
1.75L in an 80-kg subject, is far below the threshold to induce pulmonary edema, even if
administered over the span of 30-60 minutes.
In addition to fluid management and resuscitation, rapid infusion of a large volume of normal
saline has been used to diagnose primary aldosteronism for over 30 years (241-243). The test,
known as the saline infusion test, involves rapid IV administration of 2L of normal saline to
patients with moderate-to-severe hypertension. To examine patients’ basal hormonal
responses to fluid loading, patients are typically withdrawn from antihypertensive medication
for 1-2 weeks prior to this test. Thus, the saline infusion test involves carrying out acute fluid
56
loading within a population of patients at greater risk for developing pulmonary edema than
normotensive subjects. A study analyzing effects of the saline infusion test in over 1000
hypertensive patients found the adverse event rate to be very low: < 0.5%. Adverse effects
were minor and consisted exclusively of headache and chest pain unassociated with ECG
abnormalities (241). Similar findings were reported in other studies involving 500 patients
who underwent the saline infusion test (242, 243).
In summary, the rapid IV infusion of either 2L or 22 ml/kg of saline has been shown not to
induce dyspnea or pulmonary edema in euvolemic subjects with or without hypertension, and
therefore should be safe in healthy, non-hypertensive, euvolemic subjects.
57
2.3.2 Compression Stockings
Approximately 75% of systemic fluid volume resides in the venous circulation (244). Most
of the fluid administered IV would therefore be expected to distribute rapidly to the highly-
compliant capacitance veins. Distribution of fluid to the jugular veins causing venous
distension could cause UA narrowing, particularly at the level of the mandible, where jugular
distension could displace the lateral wall of the UA medially and impinge on the pharynx.
Conversely, distribution and sequestration of infused fluid into other capacitance vessels,
such as those located in the legs, would reduce the volume of fluid available for
peripharyngeal accumulation. Therefore, reducing the sequestration of infused fluid into the
capacitance vessels of the calf should increase the likelihood for IV fluid to accumulate
around the UA and cause it to narrow.
When subjects assume an upright position as in sitting or standing, an effect of gravity on the
column of blood from the heart to the legs is to produce an intravascular hydrostatic pressure
gradient that increases caudally from the heart. In accordance with Starling’s forces, this
promotes fluid to accumulate in the interstitium surrounding the capillaries of the capacitance
veins of the calf, particularly if this increased capillary hydrostatic pressure is not adequately
met by interstitial tissue pressure supplied by contraction of the calf muscles. By increasing
interstitial tissue pressure, CS reduce cross-sectional area of the superficial and deep veins of
the calf by approximately 20%, thereby reducing capacitance of these veins (245, 246). The
increased interstitial tissue pressure also counteracts capillary leakage, favoring fluid flow
from the interstitium into the vasculature. Accordingly, CS prevent dependent fluid
accumulation and hemostasis in the calf that may occur in the upright position due to the
58
effect of gravity on hemodynamics (105, 219, 245, 247). Due to these same mechanisms of
reducing venous capacitance and increasing interstititial hydrostatic pressure CS would likely
reduce the volume of fluid sequestered in the calf during recumbent IV fluid loading.
CS use is safe, with no adverse effects reported for acute CS use, even in conjunction with
hypervolemia. For example, among a population of hypervolemic patients with
decompensated HF, CS did not alter supine BP or SaO2 (248). Moreover, unlike MAST, CS
are sufficiently comfortable for use during sleep.
In summary, the use of CS appears to be a safe technique for preventing fluid accumulation
in the legs and for increasing the likelihood that IV fluid loading will induce peripharyngeal
fluid accumulation during sleep.
59
3. RATIONALE AND HYPOTHESES
OSA is more common in edematous patients than in the general population, despite lower
body weight (36-39, 41, 117). In healthy men (46), men with HF (47) and subjects with
hypertension (106), OSA severity correlates with the volume of fluid that translocates
spontaneously from the legs to the neck overnight. In sedentary men, attenuation of this
translocation reduces OSA severity (105). In healthy men, but not in healthy women,
experimentally-produced rostral fluid shift and consequent nuchal fluid accumulation
increases UA collapsibility(3, 4). Thus, fluid accumulation in the neck/peripharyngeal tissues
may induce UA obstruction in healthy men.
Our hypotheses are that in otherwise-healthy men with mild or no sleep apnea, IV saline
administration coupled with the wearing of CS will:
1) Induce nuchal/peripharyngeal fluid accumulation and UA narrowing, as evidenced by
an increase in NC and a reduction in UA-XSA, respectively.
2) Induce UA obstruction during sleep, as evidenced by an increase in the AHI.
60
4. METHODS
Subjects
Inclusion criteria were men 18-60 years of age. Exclusion criteria included gross obesity
(BMI ≥35 kg/m2); blood pressure (BP) ≥ 140/90 mm Hg; BQ score >1; ESS score >10; self-
reported history of cardiovascular, renal, neurological or respiratory diseases, or of sleep
apnea.
Screening Procedure
To determine eligibility, potential subjects completed a screening procedure immediately
after consenting to the study. During this procedure, subjects completed the ESS and BQ
(Appendices 1-2) and were questioned with regards to a history of cardiovascular, renal,
neurological or respiratory diseases, or of sleep apnea. Height and body weight were
measured in order to calculate BMI. BP was measured using an automatic
sphygmomanometer (BPM-200; BpTRU Medical Devices, Coquitlam, BC). Three
consecutive readings were taken while subjects were seated upright; the last 2 readings were
averaged to give mean BP. Only those subjects whose systolic BP was <140 mm Hg and
whose diastolic BP was <90 mm Hg during the initial screening procedure, as well as at the
beginning of each study session, were allowed to participate.
Sleep Deprivation
In order to facilitate daytime sleep, subjects were asked to restrict their sleep to ≤ 4 hours the
night before each study session. Additionally, subjects were instructed to refrain from
61
tobacco, caffeine, alcohol, sedative, electrolyte drink and recreational drug intake for 24
hours prior to each study session.
Acoustic Reflection Pharyngometry
To measure UA-XSA, ARP (Eccovision Acoustic Pharyngometer; Sleep Group Solutions,
North Miami Beach, FL) was employed immediately preceding and immediately following
each sleep period, while subjects were awake and supine. Subjects were connected to the
pharyngometer via a modified, scuba-type mouthpiece designed to prevent movement of the
tongue. As initial calibration of the pharyngometer required nasal breathing, subjects did not
wear nose clips. The pharyngometer emitted soundwave bursts at 5 pulses/second while
subjects were instructed to breathe orally at normal tidal levels. The soundwaves reflected off
of the surfaces of the UA back into pharyngometer, where they were recorded by 2
microphones embedded in the unit. By comparing incident and reflected soundwaves, the
acoustic pharyngometer is able to generate traces representing cross-sectional area as a
function of distance from the teeth. Two technically-acceptable traces (superimposable and
with variability ≤5%) were taken at the end of resting expiration. During calibration, the
velum was located by instructing subjects to breathe nasally, whereas the glottis was located
via the “silent O” manoeuvre, in which subjects mimicked saying the letter “O” without
vocalization. Both these techniques elicit characteristic valleys in the area-distance tracings
that can be used by an experienced ARP operator to determine the precise locations of the
velum and glottis (249). UA-XSA was calculated as the mean cross-sectional area from the
velum to the glottis. The resolution of the pharyngometer was 0.43 cm, indicating that
approximately 25 measurements would be made in a typical 10-11 cm long pharynx. ARP
62
generates reproducible data (250, 251) and has been validated against both radiographic and
MRI techniques for determining UA-XSA (252, 253). Sophisticated imaging software (SGS
3-D Airway Software, Sleep Group Solutions, North Miami Beach, FL), was used to
generate images of the UA from area-distance plots.
Compression Stockings
Off-the-shelf, below-the knee CS (Sigvaris; Ganzoni & Cie. AG, St. Gallen, Switzerland)
were placed on subjects’ legs prior to the saline infusion session of the protocol. The
stockings are designed to apply 15-20 mm Hg of pressure to the legs.
Neck Circumference
NC was determined with a measuring tape at the superior border of the cricothyroid cartilage
while subjects were supine. A line was drawn at this level by a marker pen so that
measurements after sleep were taken at exactly the same level as before sleep.
Intravenous Saline Infusion
Before sleep, subjects were cannulated via a 20-gauge IV catheter inserted into a superficial
forearm vein to infuse normal saline. In the control session, subjects were administered the
minimal saline volume required to keep the vein open throughout the entire session. In the
intervention session, subjects were started on minimal saline, and upon N2 sleep onset were
switched to a bolus dose of approximately 22 ml saline/kg body weight. This bolus dose was
administered at the maximum rate of gravity infusion. As the 20-gauge catheter was rated at
60 ml/minute maximum flow, the time needed to complete the 1750 ml bolus for an 80-kg
63
subject was approximately 35 minutes. Once the bolus was delivered, IV infusion rate
reverted to minimal saline for the duration of the study session.
Polysomnography
The signals collected in the present study were EEG (leads: C3/A2, C4/A1, O2/A1, F3/A1,
F4/A2), EOG, submental EMG, ECG, respiration and SaO2. All signals were collected at a
sampling frequency of 256 Hz using commercially-available sleep laboratory software
(Sandman Elite; Embla Systems, Ottawa, ON). Sleep/wake stages were scored in 30-second
epochs using American Academy of Sleep Medicine criteria (6).
Respiratory motion was monitored continuously using respiratory inductance
plethysmography (Respitrace; Ambulatory Monitoring, Inc., White Plains, NY). The
plethysmography device consists of 2 elasticized bands, into which are embedded wires in a
zigzag configuration that transduce mechanical strain into an electrical AC signal. One band
is placed around the subject’s ribcage just below the axillae and the other is placed around
the subject’s abdomen between the ribcage and iliac crests to quantify motion of the ribcage
and abdomen, respectively (thoracoabdominal motion) and from these signals, VT was
calculated as follows. After the RIP bands were applied, subjects performed three tidal
breaths into a spirometer in both supine and upright seated positions. This allowed calibration
of the RIP-calculated VT to within ± 10% of spirometric values. Nasal airflow was measured
by nasal pressure cannulae (BINAPS; Salter Labs, Arvin, CA) placed in the nares. SaO2 was
monitored continuously via a pulse oximeter (Nellcor; Nellcor Puritan Bennett, Inc,
Pleasanton, CA) placed on the earlobe or, if subjects found the earlobe oximeter to
cumbersome for sleep, on the index finger. ECG data were collected via a lead-1 ECG.
64
Scoring of Respiratory Events
Obstructive apneas and hypopneas were defined as a ≥90% reduction in VT and a 50-90%
reduction in VT from baseline, respectively, lasting at least 10 seconds with out-of-phase
thoracoabdominal motion or flow limitation on the nasal pressure tracing. Central apneas and
hypopneas were defined similarly, except that during apnea there was no thoracoabdominal
motion, and during hypopnea, thoracoabdominal motion was in-phase and there was no
evidence of airflow limitation in the nasal pressure tracing. The frequency of apneas and
hypopneas per hour of sleep was defined as the AHI.
Daytime PSG has been validated against overnight PSG for the diagnosis of OSA, both with
(254) and without (255, 256) sleep deprivation to 4 hours of sleep the night before.
Experimental Protocol
A schematic of the screening and experimental protocols is presented in Figure 3.
65
Figure 3: Schematic of screening and experimental protocols.
Abbreviations: BP, blood pressure; UA-XSA, upper airway cross-sectional area; NC, neck
circumference; AHI, apnea-hypopnea index.
66
Subjects underwent screening after consenting to the study. A randomized, controlled,
double-crossover study design was employed; eligible subjects were scheduled to complete
their first study session shortly after screening, with the second session occurring
approximately 1 week later.
The day following sleep deprivation, subjects arrived at the Toronto Rehabilitation Institute
Sleep Research Laboratory between the hours of 11:30 and 14:30. BP was measured in the
upright, seated position, following which subjects were instrumented for PSG. Subjects then
laid down supine on a sleep laboratory bed and NC and UA-XSA were measured. A 20-
gauge IV catheter was then inserted into a superficial forearm vein and attached to two, 1-
litre bags of normal saline warmed to approximately 37° C. Subjects were then randomized
by coin toss to complete either the control or saline infusion intervention first. After
completion of the first protocol, subjects underwent a washout period of approximately one
week, after which they returned to the laboratory to complete the remaining arm of the study.
In both sessions, subjects were allowed to sleep for as long as they wished, to a maximum of
4 hours. All measurements performed prior to sleep were then replicated.
The study protocol was approved by the local Research Ethics Board of the Toronto
Rehabilitation Institute and all subjects provided written informed consent prior to their
participation in the study. Subjects were recruited via advertisement.
Statistical Analyses
67
Continuous variables were compared using two-tailed, paired t-tests for variables with
normally-distributed data and Wilcoxon signed rank test for variables with non-normally
distributed data. The time-intervention interaction terms for changes in NC and UA-XSA
were assessed by two-way repeated ANOVA with crossover design. Fisher’s exact test was
used to compare categorical data between different groups. Data are presented as mean ± SD
unless otherwise stated. A two-sided P value of 0.05 was considered significant. Univariate
linear regression analyses were performed for age versus AHI, BMI versus AHI, BMI versus
NC, BMI versus UA-XSA and NC versus UA-XSA. Statistical analyses were performed
using GraphPad Prism for Windows software version 5.0 (GraphPad Software, Inc., San
Diego, CA).
68
5. RESULTS
Subjects
Eighteen men signed the consent form. Of these, 2 met exclusion criteria prior to
randomization, 2 were lost to follow-up prior to randomization, 2 were randomized to
complete the control session first, after which they were excluded due to unsuspected severe
OSA (AHI > 30) and 3 declined to participate after completing the control session.
The remaining 9 healthy men underwent the full protocol. Individual and mean subject
characteristics are shown in Table 1.
Table 1: Subject Characteristics
Subject # Age, y BMI, kg/m2 Systolic BP,
mm Hg
Diastolic BP,
mm Hg
1 23 32 107 71
2 26 23.5 113 74
3 32 26 113 72
4 24 22.3 113 70
5 46 32.1 120 82
6 24 28.5 105 73
7 36 27.3 121 75
8 45 28.6 103 74
9 36 19.9 108 71
MEAN ± SD 32.4 ± 8.9 26.7 ± 4.2 111.4 ± 6.3 73.6 ± 3.6
69
Self-Reported Pre-Sleep Restrictions
All subjects were asked to restrict their sleep to less than approximately 4 hours the night
prior to each study session, and the reported pre-session sleep times did not differ between
the control and saline infusion sessions (3.5 ± 1.4 hours versus 3.3 ± 1.4 hours; P = 0.228).
Prior to each session, all subjects denied consuming any medications, recreational drugs,
alcohol or caffeine on the day of either session. Additionally, all subjects denied suffering
from any degree of nasal congestion prior to either session.
Saline Administration
Five subjects were randomized to complete the control session first. By design, subjects were
infused with a much larger volume of saline in the intervention compared to the control
session (1850 ± 280 ml versus 80 ± 40 ml; P < 0.0001). All subjects tolerated the control and
saline infusion sessions well. Of the 9 intervention sessions conducted, 3 had to be briefly
interrupted by a subject’s need to void following the saline bolus infusion. After these
subjects urinated, they returned immediately to bed, went back to sleep and continued the
session without incident.
70
Neck Circumference
Values for NC are displayed in Figure 4. The mean pre-sleep NC did not differ significantly
between control and intervention sessions (P > 0.70). During both the control and
intervention sessions, NC increased significantly from pre- to post-sleep measurements (P =
0.021 and P < 0.001, respectively). The time-intervention term as assessed by two-way
repeated measures ANOVA was statistically significant (P < 0.01).
Pre-S
leep
Post-S
leep
Pre-S
leep
Post-S
leep
35
37
39
41
43
45
47
4941.9 ± 3.6†41.2 ± 4.0 41.3 ± 4.1* 41.3 ± 3.6
∆∆∆∆ 0.1±±±±0.1 ∆∆∆∆ 0.6±±±±0.3‡
Control Saline
NC
,cm
Figure 4: NC values for each subject immediately before and after each sleep period in both the
control and saline infusion sessions. NC increased significantly during both the control and saline
infusion sessions, with a significantly larger increase occurring during the saline infusion session.
* P < 0.05 versus pre-sleep; † P < 0.001 versus pre-sleep; ‡ P < 0.01 versus control
Abbreviation: NC, neck circumference
71
Strong correlations were also found between BMI and NC for all four conditions (i.e. pre-
and post-sleep during control session, and pre- and post-sleep during the saline infusion
session) (Figure 5). There were no significant relationships between BMI and the degree of
change in NC across either the control or intervention sessions.
15 20 25 30 3530
35
40
45
50
r2 = 0.75r = 0.87
P = 0.005
A
BMI, kg/m2
Co
ntr
ol
Pre
-Sle
ep
NC
, cm
15 20 25 30 3530
35
40
45
50
r2 = 0.95r = 0.97
P < 0.0001
C
BMI, kg/m2
Sali
ne P
re-S
leep
NC
, cm
15 20 25 30 3530
35
40
45
50
r2 = 0.75r = 0.87P = 0.005
B
BMI, kg/m2
Co
ntr
ol
Po
st-
Sle
ep
NC
, cm
15 20 25 30 3530
35
40
45
50
r2 = 0.94
r = 0.97P < 0.0001
D
BMI, kg/m2
Sali
ne P
ost-
Sle
ep
NC
, cm
Figure 5: BMI versus NC collected immediately before and after both the control and saline infusion
sessions. Under all 4 conditions, BMI correlated strongly with NC.
Abbreviations: BMI, body mass index; NC, neck circumference
72
Upper Airway Cross-Sectional Area
An area-distance plot of the UA obtained in one subject immediately before and after saline
intervention is shown in Figure 6. From this plot, images of the UA were generated (Figure
7). In this subject, there was a marked reduction in UA-XSA in response to saline infusion.
0 5 10 15 20 250
2
4
6
8
Pre-Intervention
Post-Intervention
Glottis
Velum
Distance from mouthpiece, cm
UA
-XS
A,
cm
2
Figure 6: Area-distance curves generated by acoustic reflection pharyngometry in one subject
immediately before and after saline intervention. UA-XSA decreased by 32% following saline
infusion (from 3.8 cm2 to 2.6 cm
2).
Abbreviation: UA-XSA, upper airway cross-sectional area
73
Figure 7: Representative images of the upper airway, derived from area-distance curves in Figure 6,
Abbreviation: UA-XSA, upper airway cross-sectional area
74
Values for UA-XSA are shown in Figure 8. The mean pre-sleep UA-XSA did not differ
significantly between control and saline infusion sessions (P > 0.90). There was no significant
difference between pre-and post-sleep UA-XSA during the control period. In contrast, during
the intervention, UA-XSA decreased significantly from pre- to post-sleep (P = 0.014). The
time-intervention term as assessed by two-way repeated measures ANOVA was statistically
significant (P = 0.015).
Pre-S
leep
Post-S
leep
Pre-S
leep
Post-S
leep
1
2
3
4
2.49 ± 0.54*2.93 ± 0.75 2.85 ± 0.57 2.92 ± 0.69
∆∆∆∆ -0.08 ±±±±0.30 ∆∆∆∆ -0.43 ±±±±0.41‡
Control Saline
UA
-XS
A,
cm
2
Figure 8: UA-XSA values for each subject immediately before and after each sleep period in both
the control and saline infusion sessions. UA-XSA decreased significantly during the saline infusion
session, and the reduction in UA-XSA was significantly greater in the saline infusion session (15%)
than the control session (3%).
Horizontal bars indicate mean
* P < 0.05 versus pre-sleep; ‡ P < 0.05 versus control
Abbreviation: UA-XSA, upper-airway cross-sectional area
75
There were no significant relationships between UA-XSA and BMI, NC or AHI measured at
any time point.
Sleep Architecture
Sleep variables are displayed in Table 2. Total sleep time, sleep onset latency, REM sleep
onset latency, number of arousals per hour of sleep (arousal index) and distribution of sleep
amongst the various stages were similar between the control and saline infusion sessions.
However, sleep efficiency was significantly lower during the intervention than the control
session (P = 0.031).
Table 2: Sleep Architecture Data
Control (N = 9) Saline Infusion (N = 9) P
Time in bed after lights out, minutes 157 ± 47 172 ± 36 0.300
TST, minutes 144 ± 39 131± 38 0.390
Sleep efficiency, % 87.2 ± 6.7 79.8 ± 11.2 0.031
Sleep onset latency, minutes 2.4 ± 2.4 5.3 ± 8.1 0.199
REM latency, minutes 89.6 ± 46.5 96.4 ± 78.6 0.822
Arousal index, # per hour of sleep 17.2 ± 20.2 25.4 ± 27.1 0.326
N1 sleep, % TST 10.5 ± 4.8 11.5 ± 6.4 0.692
N2 sleep, % TST 65.3 ± 16.4 65.5 ± 16.2 0.975
N3 sleep, % TST 14.7 ± 12.7 14.3 ± 13.6 0.941
REM sleep, % TST 9.5 ± 8.3 8.4 ± 10.5 0.797
Subjects who had N3 sleep, n 7 6 1
Subjects who had REM sleep, n 7 6 1
Supine sleep, %TST 100 ± 0 98 ± 7 0.347
Values are presented as mean ± SD unless indicated otherwise.
Abbreviations: TST, total sleep time; REM, rapid eye movement sleep; N1, N2 and N3,
stages of non-rapid eye movement sleep
76
Oxygen Saturation
The mean SaO2 throughout the total sleep time did not differ between the control and
intervention sessions (96.2 ± 1.9% versus 96.2 ± 1.7%; P = 0.978). The minimum SaO2
throughout the total sleep time also did not differ between the control and intervention
sessions (88.9 ± 5.3% versus 90 ± 5.6%; P = 0.623).
Apnea-Hypopnea Index
The AHIs are shown in Figure 9. There was no significant difference in AHI between the
control and intervention sessions. There was a large degree of both between- and within-
subject AHI variability. Compared to the control session, 4 subjects had a higher AHI, 3 had
a lower AHI and 2 had no appreciable change in the AHI during the saline infusion session.
Two subjects had a control AHI > 30 despite having low BQ scores of 0 and low ESS scores
of 5 and 1 that should have been associated with a low likelihood for OSA in otherwise-
healthy men. These subjects were randomized to the intervention session first.
77
-10
0
10
20
30
40
50
60
70
80
90
Control Saline
AH
I, e
ven
ts/h
r
30.3 ± 29.5
19.5 ± 22.7
Control Saline
The total AHI was then classified into various subtypes, based on apnea-hypopnea type and
on the stages of sleep in which respiratory events occurred. Table 3 shows that there were no
significant differences in the obstructive AHI or in the AHI of the various stages of sleep
between the control and saline infusion sessions.
Figure 9: AHI values of each subject during both the control and saline intervention sessions. There was
no statistically-significant difference in AHI between the control and saline infusion sessions (P = 0.249).
Mean values are represented by the ■ symbol and vertical bars represent SD.
Abbreviation: AHI, apnea-hypopnea index
78
Table 3: Apnea-Hypopnea Indices
Control (N = 9) Saline Infusion (N = 9) P
Total AHI, events/hr 19.5 ± 22.7 30.3 ± 29.5 0.249
REM AHI, events/hr 28.0 ± 26.1 36.9 ± 20.4 0.486
NREM AHI, events/hr 17.4 ± 23.6 28.9 ± 30.7 0.231
Obstructive AHI, events/hr 15.8 ± 22.7 30.3 ±29.5 0.235
Obstructive REM AHI, events/hr 27.3 ± 26.6 35.6 ± 18.7 0.500
Obstructive NREM AHI,
events/hr
13.7 ± 23.3 25.0 ± 30.5 0.225
Central AHI, events/hr 3.7 ± 7.5 3.7 ± 5.9 0.923
Values are presented as mean ± SD, except for central AHI values, which are presented as
mean ± SE.
Abbreviations: AHI, apnea-hypopnea index; REM, rapid eye movement sleep; NREM, non-
rapid eye movement sleep.
Interestingly, the only 2 subjects who were over the age of 40 had the greatest increases in
AHI during the saline infusion session (from 14 during control to 64 during saline infusion,
and from 19 during control to 78 during saline infusion). Accordingly, linear regression
analysis between subject age and total AHI during the saline infusion was performed. Figure
10 shows a strong, direct relationship between these two variables (r = 0.80, P < 0.01); a
similar relationship was not found between age and AHI during the control arm (r = 0.22, P =
0.57). There were no significant relationships between BMI and AHI in either session.
79
20 30 40 500
20
40
60
80
r2 = 0.64r = 0.80
P < 0.01
Age, y
A
HI
Du
rin
g S
ali
ne
Infu
sio
n;
even
ts/h
r
Figure 10: This plot shows a strong, direct relationship between age and the total AHI during the
saline infusion session. There was no such relationship during the control session.
Abbreviation: AHI, apnea-hypopnea index
80
6. DISCUSSION
The major findings of our study are that, compared to the control session, saline infusion and
CS induced a greater increase in NC, a greater decrease in UA-XSA and lower sleep
efficiency. However, saline infusion had no significant effect on the AHI. This indicated that
saline infusion and CS increased fluid accumulation in the neck sufficient to narrow the UA
but, in these subjects, insufficient to induce or worsen sleep apnea.
Neck Circumference
A strong correlation between BMI and NC measured by tape measure has been well
established in previous studies (30, 257). Therefore, the strong linear correlations between
BMI and NC measured pre- and post-sleep in the control and saline infusion sessions
supports our use of a tape measure to measure NC as valid.
Although NC increased by only 0.1 cm between pre- and post-sleep during the control
session, this increase was statistically significant. This increase is consistent with the findings
of Redolfi et al., who observed in non-obese healthy men that there was a similarly small
increase in NC over several hours before and after an overnight PSG in those who did not
have OSA (46). This is probably attributable to a gravitational effect causing fluid
accumulated in the legs while upright to be displaced to the upper body and neck while
recumbent (258).
81
During the saline infusion session, the increase in NC was much greater than that observed
during the control. This finding alone confirms that some of the infused saline accumulated
in the neck. This increase in NC is likely attributable primarily to the IV saline infusion,
rather than to the use of CS. The application of 40 mm Hg LBPP to the legs from the ankles
to the upper thighs in healthy, awake subjects induces an acute increase in NC of 0.04 – 0.12
cm (0.1-0.3%,) that plateaus within 1-5 minutes (1-4). Thus, the CS used during saline
infusion, which only extended to the knee and were designed to apply only 15-20 mm Hg of
pressure, probably made a minimal contribution to the 0.6 cm (1.4%) increase in NC that
occurred from the beginning to the end of the saline infusion sessions. Rather, the main
action of the CS was likely to prevent the infused fluid from accumulating in the legs by
increasing interstitial and IV pressure, thereby promoting accumulation of this fluid rostral to
the legs.
Upper Airway Cross-Sectional Area
Between pre- and post-sleep, UA-XSA decreased significantly more during the saline
infusion session than during the control session. In conjunction with the increase in NC
during saline infusion, this reduction in UA-XSA demonstrates that IV saline loading
coupled with the use of CS induced nuchal and/or peripharyngeal fluid accumulation that
narrowed the UA, presumably by increasing peripharyngeal tissue pressure (102, 103). The
fluid that reached the neck may not have translocated from the circulation, in which case the
reduction in UA-XSA would likely have been caused by distension of the nearby jugular
veins. Conversely, the fluid may have translocated from the circulation in volumes adequate
to cause interstitial edema in the peripharyngeal tissues, thereby reducing UA-XSA. From
82
our data, we are unable to discern whether one mechanism was more likely. Regardless, this
confirms our first hypothesis that the combination of IV saline loading and CS would reduce
UA-XSA in association with an increase in NC.
The reduction in UA calibre caused by our intervention was greater than that caused by
LBPP in a previous study. Shiota et al.(2) assessed UA-XSA via ARP during application of
40 mm Hg LBPP to healthy awake subjects in the supine position. They found that 5 minutes
of LBPP decreased UA-XSA by 0.18 cm2 (9%). In the present study, our intervention
decreased UA-XSA by 0.43 cm2
(13%). Thus, the reduction in UA calibre caused by IV fluid
loading and CS use was approximately 1.4-fold greater than that caused by LBPP. As UA-
XSA is lung-volume dependent, it is possible that the infused fluid did not directly decrease
UA-XSA at the level of the pharynx, but instead infiltrated the lungs, thereby reducing lung
volume and UA-XSA. Since we did not assess lung volume, we are unable to rule out this
possibility objectively. However, infiltration of fluid into the lungs may increase the
frequency of central apneas and hypopneas or decrease mean or minimum SaO2, both of
which did not happen during our intervention. Moreover, Chiu et al. assessed total lung
capacity by helium dilution before and after application of LBPP and found no effect,
suggesting that rostral fluid accumulation can reduce UA-XSA without reducing lung
volume.
83
Apnea-Hypopnea Index
Although saline infusion and CS induced a greater increase in NC and a greater reduction in
UA-XSA than during the control session, it had no significant effect on the AHI. Thus, our
second hypothesis is not confirmed.
There are several possible explanations for why our intervention did not increase the AHI.
One possibility is that the volume of fluid infused was not great enough to induce sufficient
degrees of nuchal fluid accumulation and peripharyngeal tissue pressure elevation to cause a
critical increase in UA collapsibility. A second possibility is that although factors that
increase UA extraluminal tissue pressure, such as peripharyngeal adiposity or peripharyngeal
fluid accumulation, may promote OSA, they may not in themselves induce OSA if the UA is
not already anatomically narrow and/or intrinsically compliant. Indeed, Dempsey et al. (80)
propose that anatomical predisposition for airway closure is an essential component for the
development of OSA. For example, several studies have demonstrated that the UA of
subjects with OSA is narrower, more compliant and more collapsible than in subjects without
OSA (58, 64, 65, 71, 98-100). The mean baseline UA-XSA values in our subjects were 2.92-
2.93 cm2. In other studies in which UA-XSA was measured in awake subjects using ARP,
apneic patients had mean supine UA-XSA values of 1.43 - 1.94 cm2, whereas non-apneic
subjects had values of 1.89 – 2.68 cm2
(2, 259, 260). Thus, the baseline UA-XSA of our
subjects was far closer to those of non-apneics than those of apneics, as would be expected.
Accordingly, another plausible explanation for why our intervention did not induce
significant UA obstruction is that our subjects were not anatomically predisposed toward the
development of UA obstruction during sleep. In addition to having non-narrow UAs, it is
84
possible that our subjects had UAs that were relatively non-compliant (71, 72, 77). However,
we did not measure UA compliance, and so have no data relevant to this possibility.
A third possible explanation for the lack of effect of our intervention on the AHI was the
relative youth of our subjects. OSA prevalence and severity increase with increasing age (12,
15, 26, 112). The mean age of our subjects was 32 years, with approximately half of our
subjects in their 20s. Thus, they were younger than most OSA patients, whose mean age at
diagnosis is usually 45-55 years (12, 15, 26, 112). Compared to healthy, non-apneic men
aged 18-25 years, healthy, non-apneic men aged 42-67 years exhibit increased UA
collapsibility during sleep independent of neuromuscular factors (113, 114). This relationship
between increased age and increased UA collapsibility is also independent of BMI, and
appears to plateau past age 45 years (261). Our findings appear compatible with these
findings, since subjects in our study ≥ 45 years of age exhibited a > 4-fold increase in AHI
during the intervention, compared to a 1.5-fold increase in the other 7 subjects < 45 years of
age. Although this increase in AHI in this older subset of our subjects was not statistically
significant, it does suggest that older individuals may be more susceptible to the adverse
effects of fluid overload on UA anatomy and physiology and therefore may be more likely to
develop OSA in response to fluid overload than younger individuals. Moreover, age
correlated strongly with interventional but not control AHI (r = 0.80, P < 0.01 versus R =
0.22, P >0.5); this suggests that older subjects in our study had a tendency toward UA
obstruction during sleep that was elicited by our intervention. The hypothesis that older
individuals are more prone to develop UA collapse during sleep in response to fluid loading
than younger individuals merits further investigation in larger samples.
85
There are several factors through which normal ageing might increase UA collapsibility.
Although our data do not support a relationship between increased age and UA narrowing, a
study in which ARP was conducted in 60 males aged 16-74 years demonstrated a modest
inverse relationship between age and supine UA-XSA (r = -0.30 P < 0.01) (262), suggesting
that the UA becomes narrower with age. An age-related increase in length of the collapsible
segment of the UA would increase UA collapsibility, however this phenomenon has been
demonstrated only in women (263) and therefore may not be applicable to the men in our
study. Studies in rats have found that normal ageing is associated with an alteration of UA
dilator muscle fibre type such that populations of fast glycolytic fibres (type IIb; easily
fatigable) increase while those of fast oxidative fibres (type IIa; fatigue-resistant) decrease,
resulting in increased fatigability of these muscles with age (264, 265). Indeed, this muscle
fibre alteration has been demonstrated to occur to a greater degree in OSA patients compared
to non-apneic controls (266-269).
As mentioned previously, the increase in UA collapsibility with age does not appear to
involve age-related changes in the reflex responsiveness of UA dilator muscles to negative
intraluminal pressure. Although the decrease in UA dilator muscle activity at sleep onset is of
a greater magnitude in older than younger men, this discrepancy is eliminated when CPAP is
administered throughout sleep onset, suggesting that age differences in UA dilator muscle
activity are secondary to differences in UA narrowing and RUA (113, 114). Thus, it is unlikely
that the degree of reflexive activation of UA dilator muscles by saline-induced increases in
extraluminal tissue pressure would be greater in younger than older subjects.
86
Sleep Efficiency
Sleep efficiency was lower in the intervention than in the control session, such that during the
intervention subjects required more time in bed to achieve the same amount of sleep. A
possible explanation for this is that the decrease in SE was secondary to an increase in SNS
activity caused by fluid loading and bladder distension. Bladder distension increases
sympathetic outflow and blood pressure, which return toward normal immediately following
micturition (270). Increased sympathetic activity and the proprioceptive discomfort of
bladder distension could increase the level of alertness and make it more difficult to sleep.
Our data tend to support this explanation, since sleep was interrupted by the need to void in 3
out of 9 subjects following the completion of the bolus infusion during the intervention,
whereas a need to void did not interrupt sleep for any subject during the control session.
However, an elevation in SNS activity prior to micturition could be reflected as an increase
in arousal index and/or a decrease in total sleep time, both of which were not significantly
different between control and intervention. Moreover, the 3 subjects who voided during the
intervention had a mean sleep efficiency of 85%, compared to 79% in the 6 remaining
subjects. Thus, the lower sleep efficiency during the intervention does not appear to be
related to subjects interrupting the session to void. In this regard, it is interesting to note that
in fluid retaining states, such as HF and refractory hypertension, sleep efficiency is also
reduced (44, 271) Thus, although we did not identify the reason for reduced sleep efficiency
during the intervention session, these results are consistent with previous data indicating that
some fluid retaining states are associated with reduced sleep efficiency even in the absence of
sleep apnea.
87
Subjective Response to Saline Loading
Subjects tolerated the fluid infusion well. The most common source of discomfort was the
20-gauge IV cannulation at the onset of each session; there were no complaints of dyspnea or
shortness of breath at any time during the study. As the saline was warmed to approximately
37° C prior to infusion, subjects indicated that they did not feel the saline being infused. All
subjects reported voiding within approximately 10 minutes after the intervention session had
ended. All of the 3 subjects who declined to complete the second session of the study were
randomized to the control session first, and thus did not experience the saline bolus infusion
before withdrawing. Thus, our intervention was safe, and appeared to cause a reasonably low
level of discomfort in our subjects.
88
7. LIMITATIONS
Possible Selection Bias
Under the advisory of our Research Ethics Board, we did not conduct the intervention
session in subjects who, upon being randomized to first complete the control, were found to
have an AHI ≥ 30, as they were concerned that the intervention could have caused an unsafe
degree of UA obstruction in these subjects. However, subjects who were randomized to
complete the intervention first were allowed to complete the control regardless of their
interventional AHI. Accordingly, this may have introduced some degree of selection bias to
our subject population.
Utility of Screening Measures
An unanticipated finding of the study was the low predictive value of the combined use of
the ESS and BQ for the likelihood of OSA. Of 9 subjects, all of whom met inclusion and
exclusion criteria, control AHI was > 15 in 4 subjects, indicative of at least a moderate
degree of OSA. In turn, 2 of these 4 subjects had a control AHI of > 30, indicative of severe
OSA. Paradoxically, although these 2 subjects had the highest control AHI values, they had
some of the lowest ESS and BQ scores among our subject population, indicative of low
likelihoods of OSA.
There are 2 reasons for why we chose to predict the likelihood of OSA for each subject using
the ESS, BQ and self-reported history of OSA, instead of using PSG to clinically assess the
presence or absence of OSA prior to the study. First, we wished to limit the inconvenience to
our subjects. Our protocol required subjects to visit our laboratory 3 times: once to provide
89
consent and to be screened for inclusion/exclusion criteria and 2 additional times for the
study sessions – in total, this required a time commitment of approximately 10-12 hours for
each subject. We felt that asking the subjects to visit the laboratory an additional instance to
undergo an overnight PSG would make the study too inconvenient for most subjects and
would thereby unduly restrict subject recruitment. Second, during the evening our sleep
laboratory typically is fully occupied by patients undergoing diagnostic PSGs, many of
whom must wait several weeks to undergo such a procedure, and displacement of these
patients was not a realistic option. We therefore chose to screen based on predictions of
subjects’ OSA statuses rather than based on PSG evidence of their OSA status.
We chose to use the ESS and BQ to predict patients’ OSA status because both are tools
designed specifically for detecting the signs and symptoms of OSA for screening purposes.
An ESS score > 10 is moderately associated with the presence of OSA in otherwise-healthy
subjects (170, 175), and such findings support the popular use of the ESS in sleep clinics
today. Likewise, in a study conducted by Netzer et al. among 100 patients who underwent
PSG, the BQ predicted an AHI > 5 with 86% sensitivity and 77% specificity (171). Thus, we
felt that the combined use of the ESS and BQ as a surrogate for PSG screening was justified.
The perceived underperformance of the ESS and BQ may be partially attributable to our
subjects’ posture during sleep. The intravenous forearm vein catheter, in addition to the usual
electrodes for PSG, may have made our subjects avoid changing positions during sleep, as all
subjects slept almost exclusively in the supine position during both the control and
intervention sessions. Supine sleep favors posterior displacement of the tongue due to gravity,
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and the supine position is associated with a significantly greater AHI than lateral/prone sleep
in over 50% of all OSA patients and over 60% of patients with mild-to-moderate OSA (272,
273). Thus, although the mean control AHI for our subjects was indicative of mild-to-
moderate OSA, this may not have been representative of a sleep period in which posture was
not restricted, possibly explaining why subjects’ BQ and ESS scores were not predictive of
the presence or absence of OSA.
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8. CONCLUSIONS
In healthy men between the ages of 23-46 years with no history of previously diagnosed
OSA and with a low likelihood of having OSA as assessed by the ESS and BQ, IV saline
loading coupled with the use of CS during sleep induced nuchal and peripharyngeal fluid
accumulation, as evidenced by an increase in NC and a decrease in UA-XSA compared to
control. However, such fluid accumulation and UA narrowing did not induce an increase in
AHI during the intervention session compared to the control session. An interesting
observation was that the intervention was accompanied by a marked increase in AHI in the
men aged ≥ 45 years, perhaps due to age-related predisposition to UA collapse. This
observation suggests the hypothesis that older men may be more susceptible to UA
obstruction due to nuchal and peripharyngeal fluid accumulation than younger men, a
hypothesis that could be evaluated in future studies.
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9. FUTURE DIRECTIONS
The findings and limitations of the current study provide a strong rationale to continue along
this line of investigation. One possibly fruitful strategy suggested by our observations would
be to determine if there are age-related effects of UA fluid loading. Our data suggest that
older subjects may be more susceptible to UA obstruction and an increase in AHI than
younger subjects in response to UA fluid loading. One could undertake a similar protocol and
divide subjects according to age, for example a group ≥ 45 years versus a group 18-45 years,
to test the hypothesis that IV saline plus CS will increase AHI to a greater extent in older
subjects than in younger subjects. Ideally, such a protocol would also incorporate an
overnight PSG into the pre-study screening protocol, so that each participant would be
confirmed not to have OSA. Full overnight PSGs for the control and intervention arms would
also be better, as this would probably increase total sleep time, and especially REM sleep
when induction of UA obstruction would be more likely.
Finally, since it has been previously demonstrated that rostral fluid shift by LBPP increased
UA collapsibility (i.e. Pcrit) in men but not in women (4), it would also be interesting to
compare the effects of saline infusion plus CS in men and women to test the hypothesis that
it would reduce UA-XSA and increase AHI to a greater extent in older men than in older
women.
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10. GLOSSARY
Hazard ratio, adjusted – The ratio of a probability of an event, such as morbidity or
mortality, occurring in an exposed group, such as a population of subjects with a certain
disease compared to that of a non-exposed group, such as a control population. The hazard
ratio can be adjusted via a multivariate analysis to correct for known confounding variables.
Incidence – The number of people presenting with new cases of a certain disease or
condition within a population over a specified length of time.
Nuchal – Pertaining to the anatomical area of the neck.
Odds ratio, adjusted – Like the hazard ratio, the odds ratio is used to express the probability
of an event occurring in one group compared to another group. However, unlike the hazard
ratio, the odds ratio is suitable to analyze both high and low probability events, as opposed to
only low probability events. The odds ratio can also be adjusted via a multivariate analysis to
correct for known confounding variables.
Peripharyngeal – Pertaining to the anatomical area surrounding the pharynx.
94
Poiseulle's Law – Under conditions of constant flow, the resistance of flow through a tube is
inversely proportional to the radius of the tube raised to the fourth power (resistance =
k/radius4). Poiseulle’s Law can be combined with a hydraulic analogy of Ohm’s Law (flow =
∆ pressure/ resistance) to state that, under conditions of constant pressure, flow in a tube is
proportional to the radius of the tube raised to the fourth power (flow = k*radius4).
Prevalance – The total number of people who have a certain disease or condition within a
population at one specific point in time.
Sensitivity – the measure of a test’s ability to correctly identify a positive result. In the case
of the Berlin Questionnaire, sensitivity refers to the ability of the questionnaire to correctly
predict an apnea-hypopnea index of ≥ 5 in a subject. The formula for sensitivity is as follows:
Sensitivity = # of true positives / (# of true positives + # of false negatives)
Specificity – the measure of a test’s ability to correctly identify a negative result. In the case
of the Berlin Questionnaire, specificity refers to the ability of the questionnaire to correctly
predict an apnea-hypopnea index of < 5 in a subject. The formula for specificity is as
follows:
Specificity = # of true negatives / (# of true negatives + # of false positives)
95
Starling's Forces – These include the hydrostatic and oncotic pressures of the capillary and
interstitium. The pressure gradient among Starling’s forces determines fluid flow across the
capillary membrane.
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11. APPENDICIES
11.1 Appendix 1: Epworth Sleepiness Scale
How likely are you to doze off or fall asleep in the following situations, in contrast to feeling
just tired? This refers to your usual way of life in recent times. Even if you have not done
some of these things recently try to work out how they would have affected you. Use the
following scale to choose the most appropriate number for each situation:
0 = would never doze
1 = slight chance of dozing
2 = moderate chance of dozing
3 = high chance of dozing
(Answer each question 0, 1, 2, or 3)
Situation Score 0-3
Sitting and reading
Watching TV
Sitting inactive in a public place (i.e. a theatre or in a meeting)
As a passenger in a car for an hour without a break
Lying down to rest in the afternoon when circumstances permit
Sitting and talking to someone
Sitting quietly after a lunch (without having drunk any alcohol)
In a car, while stopped for a few minutes in traffic
Total Score
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11.2 Appendix 2: Berlin Questionnaire
CATEGORY 1 1. Do you snore?
_ a. Yes
_ b. No
_ c. Don’t know
If you snore:
2. Your snoring is:
_ a. Slightly louder than breathing
_ b. As loud as talking
_ c. Louder than talking
_ d. Very loud – can be heard in adjacent
rooms
3. How often do you snore
_ a. Nearly every day
_ b. 3-4 times a week
_ c. 1-2 times a week
_ d. 1-2 times a month
_ e. Never or nearly never
4. Has your snoring ever bothered other
people? _ a. Yes
_ b. No
_ c. Don’t Know
5. Has anyone noticed that you quit
breathing during your sleep? _ a. Nearly every day
_ b. 3-4 times a week
_ c. 1-2 times a week
_ d. 1-2 times a month_ e. Never or nearly never
CATEGORY 2 6. How often do you feel tired or fatigued
after your sleep? _ a. Nearly every day
_ b. 3-4 times a week
_ c. 1-2 times a week
_ d. 1-2 times a month
_ e. Never or nearly never
7. During your waking time, do you feel
tired, fatigued or not up to par? _ a. Nearly every day
_ b. 3-4 times a week
_ c. 1-2 times a week
_ d. 1-2 times a month
_ e. Never or nearly never
8. Have you ever nodded off or fallen asleep
while driving a vehicle? _ a. Yes
_ b. No
98
If yes:
9. How often does this occur?
_ a. Nearly every day
_ b. 3-4 times a week
_ c. 1-2 times a week
_ d. 1-2 times a month
_ e. Never or nearly never
CATEGORY 3 10. Do you have high blood pressure?
_ Yes
_ No
_ Don’t know
Scoring the Berlin Questionnaire
The questionnaire consists of 3 categories related to the risk of having sleep apnea.
Patients can be classified into High Risk or Low Risk based on their responses to the
individual items and their overall scores in the symptom categories.
Categories and scoring:
Category 1: items 1, 2, 3, 4, 5.
Item 1: if ‘Yes’, assign 1 point
Item 2: if ‘c’ or ‘d’ is the response, assign 1 point
Item 3: if ‘a’ or ‘b’ is the response, assign 1 point
Item 4: if ‘a’ is the response, assign 1 point
Item 5: if ‘a’ or ‘b’ is the response, assign 2 points
Add points. Category 1 is positive if the total score is 2 or more points
Category 2: items 6, 7, 8 (item 9 should be noted separately).
Item 6: if ‘a’ or ‘b’ is the response, assign 1 point
Item 7: if ‘a’ or ‘b’ is the response, assign 1 point
Item 8: if ‘a’ is the response, assign 1 point
Add points. Category 2 is positive if the total score is 2 or more points
Category 3 is positive if the answer to item 10 is ‘Yes’ OR if the BMI of the
patient is greater than 30.
High Risk: if there are 2 or more categories where the score is positive.
Low Risk: if there is only 1 or no categories where the score is positive.
Adapted from: Table 2 from Netzer, et al., 1999. (Netzer NC, Stoohs RA, Netzer CM, Clark K,
Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome.
Ann
Intern Med. 1999 Oct 5;131(7):485-91)
99
12. REFERENCES
1. Chiu, K. L., C. M. Ryan, S. Shiota, P. Ruttanaumpawan, M. Arzt, J. S. Haight, C.
T. Chan, J. S. Floras, and T. D. Bradley. 2006. Fluid shift by lower body positive
pressure increases pharyngeal resistance in healthy subjects. Am J Respir Crit Care Med
174(12):1378-83.
2. Shiota, S., C. M. Ryan, K. L. Chiu, P. Ruttanaumpawan, J. Haight, M. Arzt, J. S.
Floras, C. Chan, and T. D. Bradley. 2007. Alterations in upper airway cross-sectional
area in response to lower body positive pressure in healthy subjects. Thorax 62(10):868-
72.
3. Su, M. C., K. L. Chiu, P. Ruttanaumpawan, S. Shiota, D. Yumino, S. Redolfi, J.
S. Haight, and T. D. Bradley. 2008. Lower body positive pressure increases upper
airway collapsibility in healthy subjects. Respir Physiol Neurobiol 161(3):306-12.
4. Su, M. C., K. L. Chiu, P. Ruttanaumpawan, S. Shiota, D. Yumino, S. Redolfi, J.
S. Haight, B. Yau, J. Lam, and T. D. Bradley. 2009. Difference in upper airway
collapsibility during wakefulness between men and women in response to lower-body
positive pressure. Clin Sci (Lond) 116(9):713-20.
5. Worsnop, C., A. Kay, R. Pierce, Y. Kim, and J. Trinder. 1998. Activity of
respiratory pump and upper airway muscles during sleep onset. J Appl Physiol
85(3):908-20.
6. Iber, C., S. Ancoli-Israel, A. Chesson, and S. F. Quan. 2007. The AASM Manual
for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical
Specifications, 1 ed. American Academy of Sleep Medicine, Westchester, Illinois.
7. Moser, N. J., B. A. Phillips, D. T. Berry, and L. Harbison. 1994. What is
hypopnea, anyway? Chest 105(2):426-8.
8. AASM. 1999. Sleep-related breathing disorders in adults: recommendations for
syndrome definition and measurement techniques in clinical research. The Report of an
American Academy of Sleep Medicine Task Force. Sleep 22(5):667-89.
9. Liistro, G., D. C. Stanescu, C. Veriter, D. O. Rodenstein, and G. Aubert-Tulkens.
1991. Pattern of snoring in obstructive sleep apnea patients and in heavy snorers. Sleep
14(6):517-25.
10. Berg, S., J. C. Hybbinette, T. Gislasson, and J. Ovesen. 1995. Intrathoracic
pressure variations in obese habitual snorers. J Otolaryngol 24(4):238-41.
11. Guilleminault, C., A. Tilkian, and W. C. Dement. 1976. The sleep apnea
syndromes. Annu Rev Med 27:465-84.
12. Young, T., M. Palta, J. Dempsey, J. Skatrud, S. Weber, and S. Badr. 1993. The
occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med
328(17):1230-5.
13. Strohl, K. P., and S. Redline. 1996. Recognition of obstructive sleep apnea. Am J
Respir Crit Care Med 154(2 Pt 1):279-89.
14. Shafazand, S. 2009. Perioperative management of obstructive sleep apnea: ready
for prime time? Cleve Clin J Med 76 Suppl 4:S98-103.
15. Bixler, E. O., A. N. Vgontzas, T. Ten Have, K. Tyson, and A. Kales. 1998. Effects
of age on sleep apnea in men: I. Prevalence and severity. Am J Respir Crit Care Med
157(1):144-8.
100
16. Bixler, E. O., A. N. Vgontzas, H. M. Lin, T. Ten Have, J. Rein, A. Vela-Bueno,
and A. Kales. 2001. Prevalence of sleep-disordered breathing in women: effects of
gender. Am J Respir Crit Care Med 163(3 Pt 1):608-13.
17. Duran, J., S. Esnaola, R. Rubio, and A. Iztueta. 2001. Obstructive sleep apnea-
hypopnea and related clinical features in a population-based sample of subjects aged 30
to 70 yr. Am J Respir Crit Care Med 163(3 Pt 1):685-9.
18. Kapur, V., K. P. Strohl, S. Redline, C. Iber, G. O'Connor, and J. Nieto. 2002.
Underdiagnosis of sleep apnea syndrome in U.S. communities. Sleep Breath 6(2):49-54.
19. Young, T., L. Evans, L. Finn, and M. Palta. 1997. Estimation of the clinically
diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep
20(9):705-6.
20. Milleron, O., R. Pilliere, A. Foucher, F. de Roquefeuil, P. Aegerter, G. Jondeau,
B. G. Raffestin, and O. Dubourg. 2004. Benefits of obstructive sleep apnoea treatment
in coronary artery disease: a long-term follow-up study. Eur Heart J 25(9):728-34.
21. Doherty, L. S., J. L. Kiely, V. Swan, and W. T. McNicholas. 2005. Long-term
effects of nasal continuous positive airway pressure therapy on cardiovascular
outcomes in sleep apnea syndrome. Chest 127(6):2076-84.
22. Bradley, T. D., and J. S. Floras. 2009. Obstructive sleep apnoea and its
cardiovascular consequences. Lancet 373(9657):82-93.
23. Swanson, L. M., J. T. Arnedt, M. R. Rosekind, G. Belenky, T. J. Balkin, and C.
Drake. 2010. Sleep disorders and work performance: findings from the 2008 National
Sleep Foundation Sleep in America poll. J Sleep Res.
24. Teran-Santos, J., A. Jimenez-Gomez, and J. Cordero-Guevara. 1999. The
association between sleep apnea and the risk of traffic accidents. Cooperative Group
Burgos-Santander. N Engl J Med 340(11):847-51.
25. Tregear, S., J. Reston, K. Schoelles, and B. Phillips. 2009. Obstructive sleep
apnea and risk of motor vehicle crash: systematic review and meta-analysis. J Clin
Sleep Med 5(6):573-81.
26. Young, T., E. Shahar, F. J. Nieto, S. Redline, A. B. Newman, D. J. Gottlieb, J. A.
Walsleben, L. Finn, P. Enright, and J. M. Samet. 2002. Predictors of sleep-disordered
breathing in community-dwelling adults: the Sleep Heart Health Study. Arch Intern
Med 162(8):893-900.
27. Young, T., P. E. Peppard, and D. J. Gottlieb. 2002. Epidemiology of obstructive
sleep apnea: a population health perspective. Am J Respir Crit Care Med 165(9):1217-39.
28. Schellenberg, J. B., G. Maislin, and R. J. Schwab. 2000. Physical findings and
the risk for obstructive sleep apnea. The importance of oropharyngeal structures. Am J
Respir Crit Care Med 162(2 Pt 1):740-8.
29. Nuckton, T. J., D. V. Glidden, W. S. Browner, and D. M. Claman. 2006. Physical
examination: Mallampati score as an independent predictor of obstructive sleep apnea.
Sleep 29(7):903-8.
30. Katz, I., J. Stradling, A. S. Slutsky, N. Zamel, and V. Hoffstein. 1990. Do patients
with obstructive sleep apnea have thick necks? Am Rev Respir Dis 141(5 Pt 1):1228-31.
31. Hoffstein, V., and J. P. Szalai. 1993. Predictive value of clinical features in
diagnosing obstructive sleep apnea. Sleep 16(2):118-22.
32. Dempsey, J. A., J. B. Skatrud, A. J. Jacques, S. J. Ewanowski, B. T. Woodson, P.
R. Hanson, and B. Goodman. 2002. Anatomic determinants of sleep-disordered
101
breathing across the spectrum of clinical and nonclinical male subjects. Chest
122(3):840-51.
33. Sakakibara, H., M. Tong, K. Matsushita, M. Hirata, Y. Konishi, and S. Suetsugu.
1999. Cephalometric abnormalities in non-obese and obese patients with obstructive
sleep apnoea. Eur Respir J 13(2):403-10.
34. Kraus, M. A., and R. J. Hamburger. 1997. Sleep apnea in renal failure. Adv Perit
Dial 13:88-92.
35. Hallett, M., S. Burden, D. Stewart, J. Mahony, and P. Farrell. 1995. Sleep apnea
in end-stage renal disease patients on hemodialysis and continuous ambulatory
peritoneal dialysis. Asaio J 41(3):M435-41.
36. Hanly, P. 2004. Sleep apnea and daytime sleepiness in end-stage renal disease.
Semin Dial 17(2):109-14.
37. Stepanski, E., M. Faber, F. Zorick, R. Basner, and T. Roth. 1995. Sleep disorders
in patients on continuous ambulatory peritoneal dialysis. J Am Soc Nephrol 6(2):192-7.
38. Hanly, P. J., and A. Pierratos. 2001. Improvement of sleep apnea in patients with
chronic renal failure who undergo nocturnal hemodialysis. N Engl J Med 344(2):102-7.
39. Kasai, T., and T. D. Bradley. 2011. Obstructive sleep apnea and heart failure:
pathophysiologic and therapeutic implications. J Am Coll Cardiol 57(2):119-27.
40. Yumino, D., H. Wang, J. S. Floras, G. E. Newton, S. Mak, P. Ruttanaumpawan,
J. D. Parker, and T. D. Bradley. 2009. Prevalence and physiological predictors of sleep
apnea in patients with heart failure and systolic dysfunction. J Card Fail 15(4):279-85.
41. Ferrier, K., A. Campbell, B. Yee, M. Richards, T. O'Meeghan, M. Weatherall,
and A. Neill. 2005. Sleep-disordered breathing occurs frequently in stable outpatients
with congestive heart failure. Chest 128(4):2116-22.
42. Javaheri, S. 2006. Sleep disorders in systolic heart failure: a prospective study of
100 male patients. The final report. Int J Cardiol 106(1):21-8.
43. Javaheri, S., T. J. Parker, J. D. Liming, W. S. Corbett, H. Nishiyama, L. Wexler,
and G. A. Roselle. 1998. Sleep apnea in 81 ambulatory male patients with stable heart
failure. Types and their prevalences, consequences, and presentations. Circulation
97(21):2154-9.
44. Arzt, M., T. Young, L. Finn, J. B. Skatrud, C. M. Ryan, G. E. Newton, S. Mak, J.
D. Parker, J. S. Floras, and T. D. Bradley. 2006. Sleepiness and sleep in patients with
both systolic heart failure and obstructive sleep apnea. Arch Intern Med 166(16):1716-
22.
45. Javaheri, S., E. B. Caref, E. Chen, K. B. Tong, and W. T. Abraham. 2011. Sleep
apnea testing and outcomes in a large cohort of medicare beneficiaries with newly
diagnosed heart failure. Am J Respir Crit Care Med 183(4):539-46.
46. Redolfi, S., D. Yumino, P. Ruttanaumpawan, B. Yau, M. C. Su, J. Lam, and T. D.
Bradley. 2009. Relationship between overnight rostral fluid shift and Obstructive Sleep
Apnea in nonobese men. Am J Respir Crit Care Med 179(3):241-6.
47. Yumino, D., S. Redolfi, P. Ruttanaumpawan, M. C. Su, S. Smith, G. E. Newton,
S. Mak, and T. D. Bradley. 2010. Nocturnal rostral fluid shift: a unifying concept for
the pathogenesis of obstructive and central sleep apnea in men with heart failure.
Circulation 121(14):1598-605.
48. Guyton, A. C., and J. E. Hall. 1996. Textbook of Medical Physiology, 9th ed.
W.B. Saunders Company, Philadelphia.
102
49. Shahar, E., C. W. Whitney, S. Redline, E. T. Lee, A. B. Newman, F. Javier Nieto,
G. T. O'Connor, L. L. Boland, J. E. Schwartz, and J. M. Samet. 2001. Sleep-disordered
breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health
Study. Am J Respir Crit Care Med 163(1):19-25.
50. Redline, S., G. Yenokyan, D. J. Gottlieb, E. Shahar, G. T. O'Connor, H. E.
Resnick, M. Diener-West, M. H. Sanders, P. A. Wolf, E. M. Geraghty, T. Ali, M.
Lebowitz, and N. M. Punjabi. 2010. Obstructive sleep apnea-hypopnea and incident
stroke: the sleep heart health study. Am J Respir Crit Care Med 182(2):269-77.
51. Arzt, M., T. Young, L. Finn, J. B. Skatrud, and T. D. Bradley. 2005. Association
of sleep-disordered breathing and the occurrence of stroke. Am J Respir Crit Care Med
172(11):1447-51.
52. Mehra, R., E. J. Benjamin, E. Shahar, D. J. Gottlieb, R. Nawabit, H. L. Kirchner,
J. Sahadevan, and S. Redline. 2006. Association of nocturnal arrhythmias with sleep-
disordered breathing: The Sleep Heart Health Study. Am J Respir Crit Care Med
173(8):910-6.
53. Nieto, F. J., T. B. Young, B. K. Lind, E. Shahar, J. M. Samet, S. Redline, R. B.
D'Agostino, A. B. Newman, M. D. Lebowitz, and T. G. Pickering. 2000. Association of
sleep-disordered breathing, sleep apnea, and hypertension in a large community-based
study. Sleep Heart Health Study. Jama 283(14):1829-36.
54. Gottlieb, D. J., G. Yenokyan, A. B. Newman, G. T. O'Connor, N. M. Punjabi, S.
F. Quan, S. Redline, H. E. Resnick, E. K. Tong, M. Diener-West, and E. Shahar. 2010.
Prospective study of obstructive sleep apnea and incident coronary heart disease and
heart failure: the sleep heart health study. Circulation 122(4):352-60.
55. Punjabi, N. M., B. S. Caffo, J. L. Goodwin, D. J. Gottlieb, A. B. Newman, G. T.
O'Connor, D. M. Rapoport, S. Redline, H. E. Resnick, J. A. Robbins, E. Shahar, M. L.
Unruh, and J. M. Samet. 2009. Sleep-disordered breathing and mortality: a prospective
cohort study. PLoS Med 6(8):e1000132.
56. Young, T., L. Finn, P. E. Peppard, M. Szklo-Coxe, D. Austin, F. J. Nieto, R.
Stubbs, and K. M. Hla. 2008. Sleep disordered breathing and mortality: eighteen-year
follow-up of the Wisconsin sleep cohort. Sleep 31(8):1071-8.
57. Marin, J. M., S. J. Carrizo, E. Vicente, and A. G. Agusti. 2005. Long-term
cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or
without treatment with continuous positive airway pressure: an observational study.
Lancet 365(9464):1046-53.
58. Ryan, C. M., and T. D. Bradley. 2005. Pathogenesis of obstructive sleep apnea. J
Appl Physiol 99(6):2440-50.
59. Fogel, R. B., A. Malhotra, and D. P. White. 2004. Sleep. 2: pathophysiology of
obstructive sleep apnoea/hypopnoea syndrome. Thorax 59(2):159-63.
60. Schwab, R. J., M. Pasirstein, R. Pierson, A. Mackley, R. Hachadoorian, R. Arens,
G. Maislin, and A. I. Pack. 2003. Identification of upper airway anatomic risk factors
for obstructive sleep apnea with volumetric magnetic resonance imaging. Am J Respir
Crit Care Med 168(5):522-30.
61. Trudo, F. J., W. B. Gefter, K. C. Welch, K. B. Gupta, G. Maislin, and R. J.
Schwab. 1998. State-related changes in upper airway caliber and surrounding soft-
tissue structures in normal subjects. Am J Respir Crit Care Med 158(4):1259-70.
103
62. Stauffer, J. L., C. W. Zwillich, R. J. Cadieux, E. O. Bixler, A. Kales, L. A.
Varano, and D. P. White. 1987. Pharyngeal size and resistance in obstructive sleep
apnea. Am Rev Respir Dis 136(3):623-7.
63. Horner, R. L., S. A. Shea, J. McIvor, and A. Guz. 1989. Pharyngeal size and
shape during wakefulness and sleep in patients with obstructive sleep apnoea. Q J Med
72(268):719-35.
64. Rivlin, J., V. Hoffstein, J. Kalbfleisch, W. McNicholas, N. Zamel, and A. C.
Bryan. 1984. Upper airway morphology in patients with idiopathic obstructive sleep
apnea. Am Rev Respir Dis 129(3):355-60.
65. Bradley, T. D., I. G. Brown, R. F. Grossman, N. Zamel, D. Martinez, E. A.
Phillipson, and V. Hoffstein. 1986. Pharyngeal size in snorers, nonsnorers, and patients
with obstructive sleep apnea. N Engl J Med 315(21):1327-31.
66. Rollheim, J., M. Tvinnereim, J. Sitek, and T. Osnes. 2001. Repeatability of sites
of sleep-induced upper airway obstruction. A 2-night study based on recordings of
airway pressure and flow. Eur Arch Otorhinolaryngol 258(5):259-64.
67. Greenfeld, M., R. Tauman, A. DeRowe, and Y. Sivan. 2003. Obstructive sleep
apnea syndrome due to adenotonsillar hypertrophy in infants. Int J Pediatr
Otorhinolaryngol 67(10):1055-60.
68. Chang, S. J., and K. Y. Chae. 2010. Obstructive sleep apnea syndrome in
children: Epidemiology, pathophysiology, diagnosis and sequelae. Korean J Pediatr
53(10):863-71.
69. Watanabe, T., S. Isono, A. Tanaka, H. Tanzawa, and T. Nishino. 2002.
Contribution of body habitus and craniofacial characteristics to segmental closing
pressures of the passive pharynx in patients with sleep-disordered breathing. Am J
Respir Crit Care Med 165(2):260-5.
70. Ferguson, K. A., T. Ono, A. A. Lowe, C. F. Ryan, and J. A. Fleetham. 1995. The
relationship between obesity and craniofacial structure in obstructive sleep apnea.
Chest 108(2):375-81.
71. Taranto Montemurro, L., M. Bettinzoli, L. Corda, A. Braghini, and C. Tantucci.
2010. Relationship between critical pressure and volume exhaled during negative
pressure in awake subjects with sleep-disordered breathing. Chest 137(6):1304-9.
72. Patil, S. P., H. Schneider, J. J. Marx, E. Gladmon, A. R. Schwartz, and P. L.
Smith. 2007. Neuromechanical control of upper airway patency during sleep. J Appl
Physiol 102(2):547-56.
73. Isono, S., D. L. Morrison, S. H. Launois, T. R. Feroah, W. A. Whitelaw, and J. E.
Remmers. 1993. Static mechanics of the velopharynx of patients with obstructive sleep
apnea. J Appl Physiol 75(1):148-54.
74. Kuna, S. T., D. G. Bedi, and C. Ryckman. 1988. Effect of nasal airway positive
pressure on upper airway size and configuration. Am Rev Respir Dis 138(4):969-75.
75. Morrison, D. L., S. H. Launois, S. Isono, T. R. Feroah, W. A. Whitelaw, and J. E.
Remmers. 1993. Pharyngeal narrowing and closing pressures in patients with
obstructive sleep apnea. Am Rev Respir Dis 148(3):606-11.
76. Pierce, R., D. White, A. Malhotra, J. K. Edwards, D. Kleverlaan, L. Palmer, and
J. Trinder. 2007. Upper airway collapsibility, dilator muscle activation and resistance in
sleep apnoea. Eur Respir J 30(2):345-53.
104
77. Brown, I. G., T. D. Bradley, E. A. Phillipson, N. Zamel, and V. Hoffstein. 1985.
Pharyngeal compliance in snoring subjects with and without obstructive sleep apnea.
Am Rev Respir Dis 132(2):211-5.
78. Mortimore, I. L., I. Marshall, P. K. Wraith, R. J. Sellar, and N. J. Douglas. 1998.
Neck and total body fat deposition in nonobese and obese patients with sleep apnea
compared with that in control subjects. Am J Respir Crit Care Med 157(1):280-3.
79. Stalford, C. B. 2004. Update for nurse anesthetists. The Starling resistor: a
model for explaining and treating obstructive sleep apnea. Aana J 72(2):133-8.
80. Dempsey, J. A., S. C. Veasey, B. J. Morgan, and C. P. O'Donnell. 2010.
Pathophysiology of sleep apnea. Physiol Rev 90(1):47-112.
81. Brennick, M. J., A. I. Pack, K. Ko, E. Kim, S. Pickup, G. Maislin, and R. J.
Schwab. 2009. Altered upper airway and soft tissue structures in the New Zealand
Obese mouse. Am J Respir Crit Care Med 179(2):158-69.
82. Fitch, W. T. 2000. The evolution of speech: a comparative review. Trends Cogn
Sci 4(7):258-267.
83. Kobayashi, I., A. Perry, J. Rhymer, B. Wuyam, P. Hughes, K. Murphy, J. A.
Innes, J. McIvor, A. D. Cheesman, and A. Guz. 1996. Inspiratory coactivation of the
genioglossus enlarges retroglossal space in laryngectomized humans. J Appl Physiol
80(5):1595-1604.
84. Jordan, A. S., and D. P. White. 2008. Pharyngeal motor control and the
pathogenesis of obstructive sleep apnea. Respir Physiol Neurobiol 160(1):1-7.
85. Wheatley, J. R., D. J. Tangel, W. S. Mezzanotte, and D. P. White. 1993. Influence
of sleep on response to negative airway pressure of tensor palatini muscle and
retropalatal airway. J Appl Physiol 75(5):2117-24.
86. Horner, R. L., J. A. Innes, K. Murphy, and A. Guz. 1991. Evidence for reflex
upper airway dilator muscle activation by sudden negative airway pressure in man. J
Physiol 436:15-29.
87. Amis, T. C., N. O'Neill, J. R. Wheatley, T. van der Touw, E. di Somma, and A.
Brancatisano. 1999. Soft palate muscle responses to negative upper airway pressure. J
Appl Physiol 86(2):523-30.
88. Malhotra, A., J. Trinder, R. Fogel, M. Stanchina, S. R. Patel, K. Schory, D.
Kleverlaan, and D. P. White. 2004. Postural effects on pharyngeal protective reflex
mechanisms. Sleep 27(6):1105-12.
89. Malhotra, A., G. Pillar, R. B. Fogel, J. Beauregard, J. K. Edwards, D. I.
Slamowitz, S. A. Shea, and D. P. White. 2000. Genioglossal but not palatal muscle
activity relates closely to pharyngeal pressure. Am J Respir Crit Care Med 162(3 Pt
1):1058-62.
90. Orem, J. 1990. The nature of the wakefulness stimulus for breathing. Prog Clin
Biol Res 345:23-30; discussion 31.
91. Morrell, M. J., H. R. Harty, L. Adams, and A. Guz. 1995. Changes in total
pulmonary resistance and PCO2 between wakefulness and sleep in normal human
subjects. J Appl Physiol 78(4):1339-49.
92. Lo, Y. L., A. S. Jordan, A. Malhotra, A. Wellman, R. A. Heinzer, M. Eikermann,
K. Schory, L. Dover, and D. P. White. 2007. Influence of wakefulness on pharyngeal
airway muscle activity. Thorax 62(9):799-805.
105
93. Wheatley, J. R., W. S. Mezzanotte, D. J. Tangel, and D. P. White. 1993. Influence
of sleep on genioglossus muscle activation by negative pressure in normal men. Am Rev
Respir Dis 148(3):597-605.
94. Horner, R. L., J. A. Innes, M. J. Morrell, S. A. Shea, and A. Guz. 1994. The
effect of sleep on reflex genioglossus muscle activation by stimuli of negative airway
pressure in humans. J Physiol 476(1):141-51.
95. Eckert, D. J., A. Malhotra, Y. L. Lo, D. P. White, and A. S. Jordan. 2009. The
influence of obstructive sleep apnea and gender on genioglossus activity during rapid
eye movement sleep. Chest 135(4):957-64.
96. Sauerland, E. K., and R. M. Harper. 1976. The human tongue during sleep:
electromyographic activity of the genioglossus muscle. Exp Neurol 51(1):160-70.
97. Charbonneau, M., J. M. Marin, A. Olha, R. J. Kimoff, R. D. Levy, and M. G.
Cosio. 1994. Changes in obstructive sleep apnea characteristics through the night. Chest
106(6):1695-701.
98. Mezzanotte, W. S., D. J. Tangel, and D. P. White. 1992. Waking genioglossal
electromyogram in sleep apnea patients versus normal controls (a neuromuscular
compensatory mechanism). J Clin Invest 89(5):1571-9.
99. Fogel, R. B., A. Malhotra, G. Pillar, J. K. Edwards, J. Beauregard, S. A. Shea,
and D. P. White. 2001. Genioglossal activation in patients with obstructive sleep apnea
versus control subjects. Mechanisms of muscle control. Am J Respir Crit Care Med
164(11):2025-30.
100. Mezzanotte, W. S., D. J. Tangel, and D. P. White. 1996. Influence of sleep onset
on upper-airway muscle activity in apnea patients versus normal controls. Am J Respir
Crit Care Med 153(6 Pt 1):1880-7.
101. Shelton, K. E., H. Woodson, S. Gay, and P. M. Suratt. 1993. Pharyngeal fat in
obstructive sleep apnea. Am Rev Respir Dis 148(2):462-6.
102. Koenig, J. S., and B. T. Thach. 1988. Effects of mass loading on the upper airway.
J Appl Physiol 64(6):2294-9.
103. Kairaitis, K., L. Howitt, J. R. Wheatley, and T. C. Amis. 2009. Mass loading of
the upper airway extraluminal tissue space in rabbits: effects on tissue pressure and
pharyngeal airway lumen geometry. J Appl Physiol 106(3):887-92.
104. Schwab, R. J. 1996. Properties of tissues surrounding the upper airway. Sleep
19(10 Suppl):S170-4.
105. Redolfi, S., I. Arnulf, M. Pottier, T. D. Bradley, and T. Similowski. 2011. Effects
of venous compression of the legs on overnight rostral fluid shift and obstructive sleep
apnea. Respir Physiol Neurobiol 175(3):390-3.
106. Friedman, O., T. D. Bradley, C. T. Chan, R. Parkes, and A. G. Logan. 2010.
Relationship between overnight rostral fluid shift and obstructive sleep apnea in drug-
resistant hypertension. Hypertension 56(6):1077-82.
107. Thut, D. C., A. R. Schwartz, D. Roach, R. A. Wise, S. Permutt, and P. L. Smith.
1993. Tracheal and neck position influence upper airway airflow dynamics by altering
airway length. J Appl Physiol 75(5):2084-90.
108. Hoffstein, V., N. Zamel, and E. A. Phillipson. 1984. Lung volume dependence of
pharyngeal cross-sectional area in patients with obstructive sleep apnea. Am Rev Respir
Dis 130(2):175-8.
106
109. Hoffstein, V., S. Wright, N. Zamel, and T. D. Bradley. 1991. Pharyngeal function
and snoring characteristics in apneic and nonapneic snorers. Am Rev Respir Dis
143(6):1294-9.
110. Stadler, D. L., R. D. McEvoy, J. Bradley, D. Paul, and P. G. Catcheside. 2010.
Changes in lung volume and diaphragm muscle activity at sleep onset in obese
obstructive sleep apnea patients vs. healthy-weight controls. J Appl Physiol 109(4):1027-
36.
111. Bixler, E. O., A. Kales, R. J. Cadieux, A. Vela-Bueno, J. A. Jacoby, and C. R.
Soldatos. 1985. Sleep apneic activity in older healthy subjects. J Appl Physiol
58(5):1597-601.
112. Hoch, C. C., C. F. Reynolds, 3rd, T. H. Monk, D. J. Buysse, A. L. Yeager, P. R.
Houck, and D. J. Kupfer. 1990. Comparison of sleep-disordered breathing among
healthy elderly in the seventh, eighth, and ninth decades of life. Sleep 13(6):502-11.
113. Worsnop, C., A. Kay, Y. Kim, J. Trinder, and R. Pierce. 2000. Effect of age on
sleep onset-related changes in respiratory pump and upper airway muscle function. J
Appl Physiol 88(5):1831-9.
114. Fogel, R. B., D. P. White, R. J. Pierce, A. Malhotra, J. K. Edwards, J. Dunai, D.
Kleverlaan, and J. Trinder. 2003. Control of upper airway muscle activity in younger
versus older men during sleep onset. J Physiol 553(Pt 2):533-44.
115. Mohsenin, V. 2003. Effects of gender on upper airway collapsibility and severity
of obstructive sleep apnea. Sleep Med 4(6):523-9.
116. Guilleminault, C., M. A. Quera-Salva, M. Partinen, and A. Jamieson. 1988.
Women and the obstructive sleep apnea syndrome. Chest 93(1):104-9.
117. Kasai, T., S. Motwani, D. Yumino, F. Rankin, S. Mak, G. E. Newton, and T. D.
Bradley. 2010. Differing relationship between nocturnal rostral fluid fhift and
obstructive sleep apnea in men and women with heart failure. Circulation
122(21):A14799.
118. Kimoff, R. J., T. H. Cheong, A. E. Olha, M. Charbonneau, R. D. Levy, M. G.
Cosio, and S. B. Gottfried. 1994. Mechanisms of apnea termination in obstructive sleep
apnea. Role of chemoreceptor and mechanoreceptor stimuli. Am J Respir Crit Care Med
149(3 Pt 1):707-14.
119. Wilkinson, V., A. Malhotra, C. L. Nicholas, C. Worsnop, A. S. Jordan, J. E.
Butler, J. P. Saboisky, S. C. Gandevia, D. P. White, and J. Trinder. 2010. Discharge
patterns of human genioglossus motor units during arousal from sleep. Sleep 33(3):379-
87.
120. Horner, R. L., L. D. Sanford, A. I. Pack, and A. R. Morrison. 1997. Activation of
a distinct arousal state immediately after spontaneous awakening from sleep. Brain Res
778(1):127-34.
121. Trinder, J., C. Ivens, J. Kleiman, D. Kleverlaan, and D. P. White. 2006. The
cardiorespiratory activation response at an arousal from sleep is independent of the
level of CO(2). J Sleep Res 15(2):174-82.
122. Younes, M. 2004. Role of arousals in the pathogenesis of obstructive sleep apnea.
Am J Respir Crit Care Med 169(5):623-33.
123. Jordan, A. S., A. Wellman, R. C. Heinzer, Y. L. Lo, K. Schory, L. Dover, S.
Gautam, A. Malhotra, and D. P. White. 2007. Mechanisms used to restore ventilation
after partial upper airway collapse during sleep in humans. Thorax 62(10):861-7.
107
124. Kushida, C. A., A. Chediak, R. B. Berry, L. K. Brown, D. Gozal, C. Iber, S.
Parthasarathy, S. F. Quan, and J. A. Rowley. 2008. Clinical guidelines for the manual
titration of positive airway pressure in patients with obstructive sleep apnea. J Clin
Sleep Med 4(2):157-71.
125. Epstein, L. J., D. Kristo, P. J. Strollo, Jr., N. Friedman, A. Malhotra, S. P. Patil,
K. Ramar, R. Rogers, R. J. Schwab, E. M. Weaver, and M. D. Weinstein. 2009. Clinical
guideline for the evaluation, management and long-term care of obstructive sleep apnea
in adults. J Clin Sleep Med 5(3):263-76.
126. Baldwin, C. M., A. M. Ervin, M. Z. Mays, J. Robbins, S. Shafazand, J.
Walsleben, and T. Weaver. 2010. Sleep disturbances, quality of life, and ethnicity: the
Sleep Heart Health Study. J Clin Sleep Med 6(2):176-83.
127. Oksenberg, A., E. Arons, K. Nasser, O. Shneor, H. Radwan, and D. S. Silverberg.
2010. Severe obstructive sleep apnea: sleepy versus nonsleepy patients. Laryngoscope
120(3):643-8.
128. Martinez, D., M. S. Lumertz, and C. Lenz Mdo. 2009. Dimensions of sleepiness
and their correlations with sleep-disordered breathing in mild sleep apnea. J Bras
Pneumol 35(6):507-14.
129. Ronksley, P. E., B. R. Hemmelgarn, S. J. Heitman, W. W. Flemons, W. A. Ghali,
B. Manns, P. Faris, and W. H. Tsai. 2011. Excessive daytime sleepiness is associated
with increased health care utilization among patients referred for assessment of OSA.
Sleep 34(3):363-70.
130. Arzt, M., T. Young, P. E. Peppard, L. Finn, C. M. Ryan, M. Bayley, and T. D.
Bradley. 2010. Dissociation of obstructive sleep apnea from hypersomnolence and
obesity in patients with stroke. Stroke 41(3):e129-34.
131. Chervin, R. D. 2000. Sleepiness, fatigue, tiredness, and lack of energy in
obstructive sleep apnea. Chest 118(2):372-9.
132. Yumino, D., J. S. Floras, and T. D. Bradley. 2010. Pathophysiological
interactions between sleep apnea and heart failure, Sleep Apnea: Implications in
Cardiovascular and Cerebrovascular Disease, 2nd ed. Informa Healthcare, New York.
133. Serizawa, N., D. Yumino, A. Takagi, K. Gomita, K. Kajimoto, Y. Tsurumi, and
N. Hagiwara. 2008. Obstructive sleep apnea is associated with greater thoracic aortic
size. J Am Coll Cardiol 52(10):885-6.
134. Sampol, G., O. Romero, A. Salas, J. L. Tovar, P. Lloberes, T. Sagales, and A.
Evangelista. 2003. Obstructive sleep apnea and thoracic aorta dissection. Am J Respir
Crit Care Med 168(12):1528-31.
135. Sagie, A., E. Schwammenthal, L. R. Padial, J. A. Vazquez de Prada, A. E.
Weyman, and R. A. Levine. 1994. Determinants of functional tricuspid regurgitation in
incomplete tricuspid valve closure: Doppler color flow study of 109 patients. J Am Coll
Cardiol 24(2):446-53.
136. Parker, J. D., D. Brooks, L. F. Kozar, C. L. Render-Teixeira, R. L. Horner, T.
Douglas Bradley, and E. A. Phillipson. 1999. Acute and chronic effects of airway
obstruction on canine left ventricular performance. Am J Respir Crit Care Med
160(6):1888-96.
137. Bradley, T. D., M. J. Hall, S. Ando, and J. S. Floras. 2001. Hemodynamic effects
of simulated obstructive apneas in humans with and without heart failure. Chest
119(6):1827-35.
108
138. Morgan, B. J., D. C. Crabtree, D. S. Puleo, M. S. Badr, F. Toiber, and J. B.
Skatrud. 1996. Neurocirculatory consequences of abrupt change in sleep state in
humans. J Appl Physiol 80(5):1627-36.
139. Horner, R. L., D. Brooks, L. F. Kozar, S. Tse, and E. A. Phillipson. 1995.
Immediate effects of arousal from sleep on cardiac autonomic outflow in the absence of
breathing in dogs. J Appl Physiol 79(1):151-62.
140. Hung, J., E. G. Whitford, R. W. Parsons, and D. R. Hillman. 1990. Association of
sleep apnoea with myocardial infarction in men. Lancet 336(8710):261-4.
141. Nakashima, H., S. Muto, K. Amenomori, Y. Shiraishi, T. Nunohiro, and S.
Suzuki. 2011. Impact of Obstructive Sleep Apnea on Myocardial Tissue Perfusion in
Patients With ST-Segment Elevation Myocardial Infarction. Circ J 75(4):890-6.
142. Iwase, M., S. P. Bishop, M. Uechi, D. E. Vatner, R. P. Shannon, R. K. Kudej, D.
C. Wight, T. E. Wagner, Y. Ishikawa, C. J. Homcy, and S. F. Vatner. 1996. Adverse
effects of chronic endogenous sympathetic drive induced by cardiac GS alpha
overexpression. Circ Res 78(4):517-24.
143. Simpson, P., A. McGrath, and S. Savion. 1982. Myocyte hypertrophy in neonatal
rat heart cultures and its regulation by serum and by catecholamines. Circ Res
51(6):787-801.
144. Singh, K., L. Xiao, A. Remondino, D. B. Sawyer, and W. S. Colucci. 2001.
Adrenergic regulation of cardiac myocyte apoptosis. J Cell Physiol 189(3):257-65.
145. Communal, C., K. Singh, D. R. Pimentel, and W. S. Colucci. 1998.
Norepinephrine stimulates apoptosis in adult rat ventricular myocytes by activation of
the beta-adrenergic pathway. Circulation 98(13):1329-34.
146. Fletcher, E. C., J. Lesske, W. Qian, C. C. Miller, 3rd, and T. Unger. 1992.
Repetitive, episodic hypoxia causes diurnal elevation of blood pressure in rats.
Hypertension 19(6 Pt 1):555-61.
147. Gilmartin, G. S., R. Tamisier, M. Curley, and J. W. Weiss. 2008. Ventilatory,
hemodynamic, sympathetic nervous system, and vascular reactivity changes after
recurrent nocturnal sustained hypoxia in humans. Am J Physiol Heart Circ Physiol
295(2):H778-85.
148. Weiss, J. W., M. D. Liu, and J. Huang. 2007. Physiological basis for a causal
relationship of obstructive sleep apnoea to hypertension. Exp Physiol 92(1):21-6.
149. Narkiewicz, K., P. J. van de Borne, N. Montano, M. E. Dyken, B. G. Phillips, and
V. K. Somers. 1998. Contribution of tonic chemoreflex activation to sympathetic
activity and blood pressure in patients with obstructive sleep apnea. Circulation
97(10):943-5.
150. Friedman, O., and A. G. Logan. 2009. Sympathoadrenal mechanisms in the
pathogenesis of sleep apnea-related hypertension. Curr Hypertens Rep 11(3):212-6.
151. Drager, L. F., A. C. Pereira, J. A. Barreto-Filho, A. C. Figueiredo, J. E. Krieger,
E. M. Krieger, and G. Lorenzi-Filho. 2006. Phenotypic characteristics associated with
hypertension in patients with obstructive sleep apnea. J Hum Hypertens 20(7):523-8.
152. Fedorov, V. V., O. P. Trifonova, A. V. Glukhov, M. R. Rosen, and L. V.
Rosenshtraukh. 2005. The Role of Mechano-Electrical Feedback in the Cholinergic
Atrial Fibrillation.
153. Mathew, S. T., J. Patel, and S. Joseph. 2009. Atrial fibrillation: mechanistic
insights and treatment options. Eur J Intern Med 20(7):672-81.
109
154. Bitter, T., N. Westerheide, C. Prinz, M. S. Hossain, J. Vogt, C. Langer, D.
Horstkotte, and O. Oldenburg. 2011. Cheyne-Stokes respiration and obstructive sleep
apnoea are independent risk factors for malignant ventricular arrhythmias requiring
appropriate cardioverter-defibrillator therapies in patients with congestive heart
failure. Eur Heart J 32(1):61-74.
155. Monahan, K., A. Storfer-Isser, R. Mehra, E. Shahar, M. Mittleman, J. Rottman,
N. Punjabi, M. Sanders, S. F. Quan, H. Resnick, and S. Redline. 2009. Triggering of
nocturnal arrhythmias by sleep-disordered breathing events. J Am Coll Cardiol
54(19):1797-804.
156. Ryan, C. M., K. Usui, J. S. Floras, and T. D. Bradley. 2005. Effect of continuous
positive airway pressure on ventricular ectopy in heart failure patients with obstructive
sleep apnoea. Thorax 60(9):781-5.
157. Kohler, M., and J. R. Stradling. 2010. Mechanisms of vascular damage in
obstructive sleep apnea. Nat Rev Cardiol 7(12):677-85.
158. Tazaki, T., K. Minoguchi, T. Yokoe, K. T. Samson, H. Minoguchi, A. Tanaka, Y.
Watanabe, and M. Adachi. 2004. Increased levels and activity of matrix
metalloproteinase-9 in obstructive sleep apnea syndrome. Am J Respir Crit Care Med
170(12):1354-9.
159. Minoguchi, K., T. Yokoe, T. Tazaki, H. Minoguchi, A. Tanaka, N. Oda, S.
Okada, S. Ohta, H. Naito, and M. Adachi. 2005. Increased carotid intima-media
thickness and serum inflammatory markers in obstructive sleep apnea. Am J Respir Crit
Care Med 172(5):625-30.
160. Drager, L. F., L. A. Bortolotto, M. C. Lorenzi, A. C. Figueiredo, E. M. Krieger,
and G. Lorenzi-Filho. 2005. Early signs of atherosclerosis in obstructive sleep apnea.
Am J Respir Crit Care Med 172(5):613-8.
161. Turmel, J., F. Series, L. P. Boulet, P. Poirier, J. C. Tardif, J. Rodes-Cabeau, E.
Larose, and O. F. Bertrand. 2009. Relationship between atherosclerosis and the sleep
apnea syndrome: an intravascular ultrasound study. Int J Cardiol 132(2):203-9.
162. Drager, L. F., L. A. Bortolotto, A. C. Figueiredo, E. M. Krieger, and G. F.
Lorenzi. 2007. Effects of continuous positive airway pressure on early signs of
atherosclerosis in obstructive sleep apnea. Am J Respir Crit Care Med 176(7):706-12.
163. Watson, T., P. K. Goon, and G. Y. Lip. 2008. Endothelial progenitor cells,
endothelial dysfunction, inflammation, and oxidative stress in hypertension. Antioxid
Redox Signal 10(6):1079-88.
164. Drager, L. F., L. A. Bortolotto, E. M. Krieger, and G. Lorenzi-Filho. 2009.
Additive effects of obstructive sleep apnea and hypertension on early markers of
carotid atherosclerosis. Hypertension 53(1):64-9.
165. Mathur, K. S., N. L. Patney, and V. Kumar. 1961. Atherosclerosis in India. An
autopsy study of the aorta and the coronary, cerebral, renal, and pulmonary arteries.
Circulation 24:68-75.
166. Johnson, K. G., and D. C. Johnson. 2010. Frequency of sleep apnea in stroke and
TIA patients: a meta-analysis. J Clin Sleep Med 6(2):131-7.
167. Kaneko, Y., V. E. Hajek, V. Zivanovic, J. Raboud, and T. D. Bradley. 2003.
Relationship of sleep apnea to functional capacity and length of hospitalization
following stroke. Sleep 26(3):293-7.
110
168. Mallampati, S. R. 1983. Clinical sign to predict difficult tracheal intubation
(hypothesis). Can Anaesth Soc J 30(3 Pt 1):316-7.
169. Benumof, J. L. 1991. Management of the difficult adult airway. With special
emphasis on awake tracheal intubation. Anesthesiology 75(6):1087-110.
170. Johns, M. W. 1991. A new method for measuring daytime sleepiness: the
Epworth sleepiness scale. Sleep 14(6):540-5.
171. Netzer, N. C., R. A. Stoohs, C. M. Netzer, K. Clark, and K. P. Strohl. 1999. Using
the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann
Intern Med 131(7):485-91.
172. Chung, F., B. Yegneswaran, P. Liao, S. A. Chung, S. Vairavanathan, S. Islam, A.
Khajehdehi, and C. M. Shapiro. 2008. STOP questionnaire: a tool to screen patients for
obstructive sleep apnea. Anesthesiology 108(5):812-21.
173. Chung, F., B. Yegneswaran, P. Liao, S. A. Chung, S. Vairavanathan, S. Islam, A.
Khajehdehi, and C. M. Shapiro. 2008. Validation of the Berlin questionnaire and
American Society of Anesthesiologists checklist as screening tools for obstructive sleep
apnea in surgical patients. Anesthesiology 108(5):822-30.
174. Gross, J. B., K. L. Bachenberg, J. L. Benumof, R. A. Caplan, R. T. Connis, C. J.
Cote, D. G. Nickinovich, V. Prachand, D. S. Ward, E. M. Weaver, L. Ydens, and S. Yu.
2006. Practice guidelines for the perioperative management of patients with obstructive
sleep apnea: a report by the American Society of Anesthesiologists Task Force on
Perioperative Management of patients with obstructive sleep apnea. Anesthesiology
104(5):1081-93; quiz 1117-8.
175. Gottlieb, D. J., C. W. Whitney, W. H. Bonekat, C. Iber, G. D. James, M.
Lebowitz, F. J. Nieto, and C. E. Rosenberg. 1999. Relation of sleepiness to respiratory
disturbance index: the Sleep Heart Health Study. Am J Respir Crit Care Med
159(2):502-7.
176. Berry, R. B., M. H. Bonnet, and R. W. Light. 1992. Effect of ethanol on the
arousal response to airway occlusion during sleep in normal subjects. Am Rev Respir
Dis 145(2 Pt 1):445-52.
177. Krol, R. C., S. L. Knuth, and D. Bartlett, Jr. 1984. Selective reduction of
genioglossal muscle activity by alcohol in normal human subjects. Am Rev Respir Dis
129(2):247-50.
178. Issa, F. G., and C. E. Sullivan. 1982. Alcohol, snoring and sleep apnea. J Neurol
Neurosurg Psychiatry 45(4):353-9.
179. Mitler, M. M., A. Dawson, S. J. Henriksen, M. Sobers, and F. E. Bloom. 1988.
Bedtime ethanol increases resistance of upper airways and produces sleep apneas in
asymptomatic snorers. Alcohol Clin Exp Res 12(6):801-5.
180. Scanlan, M. F., T. Roebuck, P. J. Little, J. R. Redman, and M. T. Naughton.
2000. Effect of moderate alcohol upon obstructive sleep apnoea. Eur Respir J 16(5):909-
13.
181. Tuomilehto, H. P., J. M. Seppa, M. M. Partinen, M. Peltonen, H. Gylling, J. O.
Tuomilehto, E. J. Vanninen, J. Kokkarinen, J. K. Sahlman, T. Martikainen, E. J. Soini,
J. Randell, H. Tukiainen, and M. Uusitupa. 2009. Lifestyle intervention with weight
reduction: first-line treatment in mild obstructive sleep apnea. Am J Respir Crit Care
Med 179(4):320-7.
182. Hoffstein, V. 1996. Snoring. Chest 109(1):201-22.
111
183. Berry, R. B., and A. J. Block. 1984. Positive nasal airway pressure eliminates
snoring as well as obstructive sleep apnea. Chest 85(1):15-20.
184. Gay, P., T. Weaver, D. Loube, and C. Iber. 2006. Evaluation of positive airway
pressure treatment for sleep related breathing disorders in adults. Sleep 29(3):381-401.
185. Tkacova, R., F. Rankin, F. S. Fitzgerald, J. S. Floras, and T. D. Bradley. 1998.
Effects of continuous positive airway pressure on obstructive sleep apnea and left
ventricular afterload in patients with heart failure. Circulation 98(21):2269-75.
186. Sullivan, C. E., F. G. Issa, M. Berthon-Jones, and L. Eves. 1981. Reversal of
obstructive sleep apnoea by continuous positive airway pressure applied through the
nares. Lancet 1(8225):862-5.
187. Weaver, T. E., and A. Sawyer. 2009. Management of obstructive sleep apnea by
continuous positive airway pressure. Oral Maxillofac Surg Clin North Am 21(4):403-12.
188. Guilleminault, C., R. Stoohs, and A. Clerk. 1993. Daytime somnolence:
therapeutic approaches. Neurophysiol Clin 23(1):23-33.
189. Weaver, T. E., G. Maislin, D. F. Dinges, T. Bloxham, C. F. George, H. Greenberg,
G. Kader, M. Mahowald, J. Younger, and A. I. Pack. 2007. Relationship between hours
of CPAP use and achieving normal levels of sleepiness and daily functioning. Sleep
30(6):711-9.
190. Fietze, I., S. Quispe-Bravo, T. Hansch, J. Rottig, G. Baumann, and C. Witt. 1997.
Arousals and sleep stages in patients with obstructive sleep apnoea syndrome: Changes
under nCPAP treatment. J Sleep Res 6(2):128-33.
191. Parrino, L., R. J. Thomas, A. Smerieri, M. C. Spaggiari, A. Del Felice, and M. G.
Terzano. 2005. Reorganization of sleep patterns in severe OSAS under prolonged
CPAP treatment. Clin Neurophysiol 116(9):2228-39.
192. McArdle, N., and N. J. Douglas. 2001. Effect of continuous positive airway
pressure on sleep architecture in the sleep apnea-hypopnea syndrome: a randomized
controlled trial. Am J Respir Crit Care Med 164(8 Pt 1):1459-63.
193. Loredo, J. S., S. Ancoli-Israel, and J. E. Dimsdale. 1999. Effect of continuous
positive airway pressure vs placebo continuous positive airway pressure on sleep
quality in obstructive sleep apnea. Chest 116(6):1545-9.
194. Stuck, B. A., S. Leitzbach, and J. T. Maurer. 2011. Effects of continuous positive
airway pressure on apnea-hypopnea index in obstructive sleep apnea based on long-
term compliance. Sleep Breath.
195. Patel, S. R., D. P. White, A. Malhotra, M. L. Stanchina, and N. T. Ayas. 2003.
Continuous positive airway pressure therapy for treating sleepiness in a diverse
population with obstructive sleep apnea: results of a meta-analysis. Arch Intern Med
163(5):565-71.
196. Giles, T. L., T. J. Lasserson, B. J. Smith, J. White, J. Wright, and C. J. Cates.
2006. Continuous positive airways pressure for obstructive sleep apnoea in adults.
Cochrane Database Syst Rev(1):CD001106.
197. Campos-Rodriguez, F., N. Pena-Grinan, N. Reyes-Nunez, I. De la Cruz-Moron, J.
Perez-Ronchel, F. De la Vega-Gallardo, and A. Fernandez-Palacin. 2005. Mortality in
obstructive sleep apnea-hypopnea patients treated with positive airway pressure. Chest
128(2):624-33.
112
198. Marti, S., G. Sampol, X. Munoz, F. Torres, A. Roca, P. Lloberes, T. Sagales, P.
Quesada, and F. Morell. 2002. Mortality in severe sleep apnoea/hypopnoea syndrome
patients: impact of treatment. Eur Respir J 20(6):1511-8.
199. Kasai, T., K. Narui, T. Dohi, N. Yanagisawa, S. Ishiwata, M. Ohno, T.
Yamaguchi, and S. Momomura. 2008. Prognosis of patients with heart failure and
obstructive sleep apnea treated with continuous positive airway pressure. Chest
133(3):690-6.
200. Hoffstein, V. 2007. Review of oral appliances for treatment of sleep-disordered
breathing. Sleep Breath 11(1):1-22.
201. Johal, A., G. Gill, A. Ferman, and K. McLaughlin. 2007. The effect of
mandibular advancement appliances on awake upper airway and masticatory muscle
activity in patients with obstructive sleep apnoea. Clin Physiol Funct Imaging 27(1):47-
53.
202. Kurtulmus, H., S. Cotert, C. Bilgen, A. Y. On, and H. Boyacioglu. 2009. The
effect of a mandibular advancement splint on electromyographic activity of the
submental and masseter muscles in patients with obstructive sleep apnea. Int J
Prosthodont 22(6):586-93.
203. Menn, S. J., D. I. Loube, T. D. Morgan, M. M. Mitler, J. S. Berger, and M. K.
Erman. 1996. The mandibular repositioning device: role in the treatment of obstructive
sleep apnea. Sleep 19(10):794-800.
204. Schmidt-Nowara, W. W., T. E. Meade, and M. B. Hays. 1991. Treatment of
snoring and obstructive sleep apnea with a dental orthosis. Chest 99(6):1378-85.
205. Johnson, L. M., G. W. Arnett, J. A. Tamborello, and A. Binder. 1992. Airway
changes in relationship to mandibular posturing. Otolaryngol Head Neck Surg
106(2):143-8.
206. Loord, H., and E. Hultcrantz. 2007. Positioner--a method for preventing sleep
apnea. Acta Otolaryngol 127(8):861-8.
207. Jokic, R., A. Klimaszewski, M. Crossley, G. Sridhar, and M. F. Fitzpatrick. 1999.
Positional treatment vs continuous positive airway pressure in patients with positional
obstructive sleep apnea syndrome. Chest 115(3):771-81.
208. Jones, T. M., J. E. Earis, P. M. Calverley, S. De, and A. C. Swift. 2005. Snoring
surgery: a retrospective review. Laryngoscope 115(11):2010-5.
209. Wasicko, M. J., D. A. Hutt, R. A. Parisi, J. A. Neubauer, R. Mezrich, and N. H.
Edelman. 1990. The role of vascular tone in the control of upper airway collapsibility.
Am Rev Respir Dis 141(6):1569-77.
210. Wasicko, M. J., J. C. Leiter, J. S. Erlichman, R. J. Strobel, and D. Bartlett, Jr.
1991. Nasal and pharyngeal resistance after topical mucosal vasoconstriction in normal
humans. Am Rev Respir Dis 144(5):1048-52.
211. Anastassov, G. E., and N. Trieger. 1998. Edema in the upper airway in patients
with obstructive sleep apnea syndrome. Oral Surg Oral Med Oral Pathol Oral Radiol
Endod 86(6):644-7.
212. Ryan, C. F., A. A. Lowe, D. Li, and J. A. Fleetham. 1991. Magnetic resonance
imaging of the upper airway in obstructive sleep apnea before and after chronic nasal
continuous positive airway pressure therapy. Am Rev Respir Dis 144(4):939-44.
113
213. Shepard, J. W., Jr., D. A. Pevernagie, A. W. Stanson, B. K. Daniels, and P. F.
Sheedy. 1996. Effects of changes in central venous pressure on upper airway size in
patients with obstructive sleep apnea. Am J Respir Crit Care Med 153(1):250-4.
214. Malhotra, A., Y. Huang, R. B. Fogel, G. Pillar, J. K. Edwards, R. Kikinis, S. H.
Loring, and D. P. White. 2002. The male predisposition to pharyngeal collapse:
importance of airway length. Am J Respir Crit Care Med 166(10):1388-95.
215. Ahlberg, N. E., O. Bartley, and N. Chidekel. 1966. Right and left gonadal veins.
An anatomical and statistical study. Acta Radiol Diagn (Stockh) 4(6):593-601.
216. Bucca, C. B., L. Brussino, A. Battisti, R. Mutani, G. Rolla, L. Mangiardi, and A.
Cicolin. 2007. Diuretics in obstructive sleep apnea with diastolic heart failure. Chest
132(2):440-6.
217. Tang, S. C., B. Lam, P. P. Ku, W. S. Leung, C. M. Chu, Y. W. Ho, M. S. Ip, and
K. N. Lai. 2006. Alleviation of sleep apnea in patients with chronic renal failure by
nocturnal cycler-assisted peritoneal dialysis compared with conventional continuous
ambulatory peritoneal dialysis. J Am Soc Nephrol 17(9):2607-16.
218. Iftikhar, I., M. Ahmed, S. Tarr, S. J. Zyzanski, and R. P. Blankfield. 2008.
Comparison of obstructive sleep apnea patients with and without leg edema. Sleep Med
9(8):890-3.
219. Partsch, H., M. Flour, and P. C. Smith. 2008. Indications for compression
therapy in venous and lymphatic disease consensus based on experimental data and
scientific evidence. Under the auspices of the IUP. Int Angiol 27(3):193-219.
220. Beydon, L., F. Goldenberg, L. Heyer, M. P. d'Ortho, F. Bonnet, A. Harf, and F.
Lofaso. 1997. Sleep apnea-like syndrome induced by nitrous oxide inhalation in normal
men. Respir Physiol 108(3):215-24.
221. Badr, M. S., J. B. Skatrud, J. A. Dempsey, and R. L. Begle. 1990. Effect of
mechanical loading on expiratory and inspiratory muscle activity during NREM sleep.
J Appl Physiol 68(3):1195-202.
222. McEvoy, R. D., R. M. Popovic, N. A. Saunders, and D. P. White. 1997.
Ventilatory responses to sustained eucapnic hypoxia in healthy males during
wakefulness and NREM sleep. Sleep 20(11):1008-11.
223. Tamisier, R., G. S. Gilmartin, S. H. Launois, J. L. Pepin, H. Nespoulet, R.
Thomas, P. Levy, and J. W. Weiss. 2009. A new model of chronic intermittent hypoxia
in humans: effect on ventilation, sleep, and blood pressure. J Appl Physiol 107(1):17-24.
224. Jeffery, S., J. E. Butler, D. K. McKenzie, L. Wang, and S. C. Gandevia. 2006.
Brief airway occlusion produces prolonged reflex inhibition of inspiratory muscles in
obstructive sleep apnea. Sleep 29(3):321-8.
225. Kuna, S. T., and J. Smickley. 1988. Response of genioglossus muscle activity to
nasal airway occlusion in normal sleeping adults. J Appl Physiol 64(1):347-53.
226. McNicholas, W. T., M. Coffey, T. McDonnell, R. O'Regan, and M. X. Fitzgerald.
1987. Upper airway obstruction during sleep in normal subjects after selective topical
oropharyngeal anesthesia. Am Rev Respir Dis 135(6):1316-9.
227. O'Driscoll, D. M., K. Kostikas, A. K. Simonds, and M. J. Morrell. 2005.
Occlusion of the upper airway does not augment the cardiovascular response to arousal
from sleep in humans. J Appl Physiol 98(4):1349-55.
114
228. Schwartz, A. R., P. L. Smith, R. A. Wise, A. R. Gold, and S. Permutt. 1988.
Induction of upper airway occlusion in sleeping individuals with subatmospheric nasal
pressure. J Appl Physiol 64(2):535-42.
229. Wilhoit, S. C., and P. M. Suratt. 1987. Effect of nasal obstruction on upper
airway muscle activation in normal subjects. Chest 92(6):1053-5.
230. Wiegand, L., C. W. Zwillich, and D. P. White. 1988. Sleep and the ventilatory
response to resistive loading in normal men. J Appl Physiol 64(3):1186-95.
231. Teeny, S. M., and D. A. Wiss. 1987. Compartment syndrome: a complication of
use of the MAST suit. J Orthop Trauma 1(3):236-9.
232. Templeman, D., R. Lange, and B. Harms. 1987. Lower-extremity compartment
syndromes associated with use of pneumatic antishock garments. J Trauma 27(1):79-81.
233. Vahedi, M. H., A. Ayuyao, M. H. Parsa, and H. P. Freeman. 1995. Pneumatic
antishock garment-associated compartment syndrome in uninjured lower extremities. J
Trauma 38(4):616-8.
234. Finfer, S., R. Bellomo, N. Boyce, J. French, J. Myburgh, and R. Norton. 2004. A
comparison of albumin and saline for fluid resuscitation in the intensive care unit. N
Engl J Med 350(22):2247-56.
235. Pavy-Le Traon, A., M. Heer, M. V. Narici, J. Rittweger, and J. Vernikos. 2007.
From space to Earth: advances in human physiology from 20 years of bed rest studies
(1986-2006). Eur J Appl Physiol 101(2):143-94.
236. Bestle, M. H., P. Norsk, and P. Bie. 2001. Fluid volume and osmoregulation in
humans after a week of head-down bed rest. Am J Physiol Regul Integr Comp Physiol
281(1):R310-7.
237. Heer, M., C. Drummer, F. Baisch, H. Maass, R. Gerzer, J. Kropp, and C. G.
Blomqvist. 1992. Effects of head-down tilt and saline loading on body weight, fluid, and
electrolyte homeostasis in man. Acta Physiol Scand Suppl 604:13-22.
238. Lowell, J. A., C. Schifferdecker, D. F. Driscoll, P. N. Benotti, and B. R. Bistrian.
1990. Postoperative fluid overload: not a benign problem. Crit Care Med 18(7):728-33.
239. Arieff, A. I. 1999. Fatal postoperative pulmonary edema: pathogenesis and
literature review. Chest 115(5):1371-7.
240. Rosenthal, M. H., and A. I. Arieff. 1995. Fluid and Electrolyte Therapy in
Critically Ill Patients and Those Who Are Pre-, Post-, or Intraoperative, Fluid,
Electrolyte and Acid-Base Disorders. Churchill Livingstone, New York.
241. Streeten, D. H., N. Tomycz, and G. H. Anderson. 1979. Reliability of screening
methods for the diagnosis of primary aldosteronism. Am J Med 67(3):403-13.
242. Rossi, G. P., A. Belfiore, G. Bernini, G. Desideri, B. Fabris, C. Ferri, G.
Giacchetti, C. Letizia, M. Maccario, F. Mallamaci, M. Mannelli, D. Montemurro, G.
Palumbo, D. Rizzoni, E. Rossi, A. Semplicini, E. Agabiti-Rosei, A. C. Pessina, and F.
Mantero. 2007. Prospective evaluation of the saline infusion test for excluding primary
aldosteronism due to aldosterone-producing adenoma. J Hypertens 25(7):1433-42.
243. Giacchetti, G., V. Ronconi, G. Lucarelli, M. Boscaro, and F. Mantero. 2006.
Analysis of screening and confirmatory tests in the diagnosis of primary aldosteronism:
need for a standardized protocol. J Hypertens 24(4):737-45.
244. Rhoades, R., and D. R. Bell. 2009. Medical Physiology: Principles for Clinical
Medicine, 3rd ed. Lippincott Williams & Wilkins.
115
245. Agu, O., G. Hamilton, and D. Baker. 1999. Graduated compression stockings in
the prevention of venous thromboembolism. Br J Surg 86(8):992-1004.
246. Rimaud, D., C. Boissier, and P. Calmels. 2008. Evaluation of the effects of
compression stockings using venous plethysmography in persons with spinal cord
injury. J Spinal Cord Med 31(2):202-7.
247. Partsch, H., J. Winiger, and B. Lun. 2004. Compression stockings reduce
occupational leg swelling. Dermatol Surg 30(5):737-43; discussion 743.
248. Gorelik, O., D. Almoznino-Sarafian, V. Litvinov, I. Alon, M. Shteinshnaider, E.
Dotan, D. Modai, and N. Cohen. 2009. Seating-induced postural hypotension is common
in older patients with decompensated heart failure and may be prevented by lower limb
compression bandaging. Gerontology 55(2):138-44.
249. Kamal, I. 2001. Normal standard curve for acoustic pharyngometry. Otolaryngol
Head Neck Surg 124(3):323-30.
250. Kamal, I. 2004. Test-retest validity of acoustic pharyngometry measurements.
Otolaryngol Head Neck Surg 130(2):223-8.
251. Brooks, L. J., R. G. Castile, G. M. Glass, N. T. Griscom, M. E. Wohl, and J. J.
Fredberg. 1984. Reproducibility and accuracy of airway area by acoustic reflection. J
Appl Physiol 57(3):777-87.
252. Fredberg, J. J., M. E. Wohl, G. M. Glass, and H. L. Dorkin. 1980. Airway area
by acoustic reflections measured at the mouth. J Appl Physiol 48(5):749-58.
253. Marshall, I., N. J. Maran, S. Martin, M. A. Jan, J. E. Rimmington, J. J. Best, G.
B. Drummond, and N. J. Douglas. 1993. Acoustic reflectometry for airway
measurements in man: implementation and validation. Physiol Meas 14(2):157-69.
254. Mizuma, H., W. Sonnenschein, and K. Meier-Ewert. 1996. Diagnostic use of
daytime polysomnography versus nocturnal polysomnography in sleep apnea syndrome.
Psychiatry Clin Neurosci 50(4):211-6.
255. Al-Jawder, S., and A. Bahammam. 2009. Utility of daytime polysomnography
for in-patients with suspected sleep-disordered breathing. Neurol Neurochir Pol
43(2):140-7.
256. Miyata, S., A. Noda, S. Nakata, H. Yagi, E. Yanagi, K. Honda, T. Sugiura, S.
Nakai, T. Nakashima, and Y. Koike. 2007. Daytime polysomnography for early
diagnosis and treatment of patients with suspected sleep-disordered breathing. Sleep
Breath 11(2):109-15.
257. Davies, R. J., N. J. Ali, and J. R. Stradling. 1992. Neck circumference and other
clinical features in the diagnosis of the obstructive sleep apnoea syndrome. Thorax
47(2):101-5.
258. Linnarsson, D., B. Tedner, and O. Eiken. 1985. Effects of gravity on the fluid
balance and distribution in man. Physiologist 28(6 Suppl):S28-9.
259. Corda, L., S. Redolfi, L. T. Montemurro, G. E. La Piana, E. Bertella, and C.
Tantucci. 2009. Short- and long-term effects of CPAP on upper airway anatomy and
collapsibility in OSAH. Sleep Breath 13(2):187-93.
260. Jung, D. G., H. Y. Cho, R. R. Grunstein, and B. Yee. 2004. Predictive value of
Kushida index and acoustic pharyngometry for the evaluation of upper airway in
subjects with or without obstructive sleep apnea. J Korean Med Sci 19(5):662-7.
116
261. Eikermann, M., A. S. Jordan, N. L. Chamberlin, S. Gautam, A. Wellman, Y. L.
Lo, D. P. White, and A. Malhotra. 2007. The influence of aging on pharyngeal
collapsibility during sleep. Chest 131(6):1702-9.
262. Martin, S. E., R. Mathur, I. Marshall, and N. J. Douglas. 1997. The effect of age,
sex, obesity and posture on upper airway size. Eur Respir J 10(9):2087-90.
263. Malhotra, A., Y. Huang, R. Fogel, S. Lazic, G. Pillar, M. Jakab, R. Kikinis, and
D. P. White. 2006. Aging influences on pharyngeal anatomy and physiology: the
predisposition to pharyngeal collapse. Am J Med 119(1):72 e9-14.
264. Oliven, A., N. Carmi, R. Coleman, M. Odeh, and M. Silbermann. 2001. Age-
related changes in upper airway muscles morphological and oxidative properties. Exp
Gerontol 36(10):1673-86.
265. van Lunteren, E., H. Vafaie, and R. J. Salomone. 1995. Comparative effects of
aging on pharyngeal and diaphragm muscles. Respir Physiol 99(1):113-25.
266. Carrera, M., F. Barbe, J. Sauleda, M. Tomas, C. Gomez, and A. G. Agusti. 1999.
Patients with obstructive sleep apnea exhibit genioglossus dysfunction that is
normalized after treatment with continuous positive airway pressure. Am J Respir Crit
Care Med 159(6):1960-6.
267. Carrera, M., F. Barbe, J. Sauleda, M. Tomas, C. Gomez, C. Santos, and A. G.
Agusti. 2004. Effects of obesity upon genioglossus structure and function in obstructive
sleep apnoea. Eur Respir J 23(3):425-9.
268. Series, F. J., S. A. Simoneau, S. St Pierre, and I. Marc. 1996. Characteristics of
the genioglossus and musculus uvulae in sleep apnea hypopnea syndrome and in
snorers. Am J Respir Crit Care Med 153(6 Pt 1):1870-4.
269. Smirne, S., S. Iannaccone, L. Ferini-Strambi, M. Comola, E. Colombo, and R.
Nemni. 1991. Muscle fibre type and habitual snoring. Lancet 337(8741):597-9.
270. Fagius, J., and S. Karhuvaara. 1989. Sympathetic activity and blood pressure
increases with bladder distension in humans. Hypertension 14(5):511-7.
271. Friedman, O., T. D. Bradley, P. Ruttanaumpawan, and A. G. Logan. 2010.
Independent association of drug-resistant hypertension to reduced sleep duration and
efficiency. Am J Hypertens 23(2):174-9.
272. Oksenberg, A., and D. S. Silverberg. 2009. Avoiding the supine posture during
sleep for patients with mild obstructive sleep apnea. Am J Respir Crit Care Med
180(1):101; author reply 101-2.
273. Richard, W., D. Kox, C. den Herder, M. Laman, H. van Tinteren, and N. de
Vries. 2006. The role of sleep position in obstructive sleep apnea syndrome. Eur Arch
Otorhinolaryngol 263(10):946-50.