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Obstructive sleep apnea

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Obstructive sleep apnea (OSA) affects millions of Americans and is estimated to be as prevalent as asthma and diabetes. Given the fact that obesity is a major risk factor for OSA, and given the current global rise in obesity, the prevalence of OSA will increase in the future. Individuals with sleep apnea are often unaware of their sleep disorder. It is usually first recognized as a problem by family members who witness the apneic episodes or is suspected by their primary care doctor because of the individual's risk factors and symptoms. The vast majority remain undiagnosed and untreated, despite the fact that this serious disorder can have significant consequences. Individuals with untreated OSA can stop breathing hundreds of times a night during their sleep. These apneic events can lead to fragmented sleep that is of poor quality, as the brain arouses briefly in order for the body to resume breathing. Untreated, sleep apnea can have dire health consequences and can increase the risk of hypertension, diabetes, heart disease, and heart failure. OSA management has also become important in a number of comorbid neurological conditions, including epilepsy, stroke, multiple sclerosis, and headache. Diagnosis typically involves use of screening questionnaires, physical exam, and an overnight polysomnography or a portable home study. Treatment options include changes in lifestyle, positive airway pressure, surgery, and dental appliances.
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Neurology International 2011; volume 3:e15
Obstructive sleep apnea
Matthew L. Ho, Steven D. Brass
UC Davis Department of Neurology,
Davis Medical Center, University
of California, California, USA
Abstract
Obstructive sleep apnea (OSA) affects mil-
lions of Americans and is estimated to be as
prevalent as asthma and diabetes. Given the
fact that obesity is a major risk factor for OSA,
and given the current global rise in obesity, the
prevalence of OSA will increase in the future.
Individuals with sleep apnea are often
unaware of their sleep disorder. It is usually
first recognized as a problem by family mem-
bers who witness the apneic episodes or is
suspected by their primary care doctor because
of the individual’s risk factors and symptoms.
The vast majority remain undiagnosed and
untreated, despite the fact that this serious
disorder can have significant consequences.
Individuals with untreated OSA can stop
breathing hundreds of times a night during
their sleep. These apneic events can lead to
fragmented sleep that is of poor quality, as the
brain arouses briefly in order for the body to
resume breathing. Untreated, sleep apnea can
have dire health consequences and can
increase the risk of hypertension, diabetes,
heart disease, and heart failure. OSA manage-
ment has also become important in a number
of comorbid neurological conditions, including
epilepsy, stroke, multiple sclerosis, and
headache. Diagnosis typically involves use of
screening questionnaires, physical exam, and
an overnight polysomnography or a portable
home study. Treatment options include
changes in lifestyle, positive airway pressure,
surgery, and dental appliances.
Introduction
The Greek word apnea means breathless or
loss of breath.
1
Sleep-disordered breathing
(SDB) encompasses a heterogeneous group of
sleep-related disorders that are characterized
by abnormal pauses in breathing during sleep.
There are two major types of SDB: obstructive
sleep apnea (OSA) and central sleep apnea
(CSA). Despite the difference in the actual
cause of each type, in both cases, people with
untreated sleep apnea stop breathing repeat-
edly during their sleep. Of the two types of
sleep apneas characterized, OSA is the most
common type, constituting greater than 85% of
all cases of SBD; CSA is far less common.
2
O
SA is caused by a physical blockage of the
airway; it results from airflow obstruction sec-
ondary to upper airway collapse or anatomic
airway obstruction, even though the respirato-
ry effort is still present. In the case of CSA, the
airway is not blocked; the brain fails to signal
the muscles to breathe and breathing is inter-
rupted by a lack of respiratory effort.
3
T
he clinical picture of OSA has long been
recognized in medical literature. It was first
described in 1918 by William Osler, a 20th cen-
tury physician who coined the term
Pickwickian syndrome in reference to a char-
acter in Charles Dickens's novel The Pickwick
P
apers. The character named Joe has all the
classic symptoms of the condition. Joe is con-
stantly hungry, red faced and always falling
asleep in the middle of doing a task.
The object that presented itself to the eyes of
the astonished clerk, was a boy - a wonderfully
fat boy - habited as a serving lad, standing
upright on the mat, with his eyes closed as if in
sleep.
4
Epidemiology
OSA affects more than twelve million
Americans.
5
An epidemiological review by
Young et al. estimates that 1 in 5 adults has at
least mild OSA and 1 in 15 adults has at least
moderate OSA.
6
Sleep apnea can affect anyone
at any age, even children.
7,8
OSA is becoming
increasingly prevalent. However, because of
the lack of awareness by the public and health-
care professionals, the vast majority remain
undiagnosed and untreated. Data from the
Wisconsin sleep cohort study of patients esti-
mate that 93% of women and 82% of men with
moderate-to-severe sleep apnea were undiag-
nosed.
9
A follow-up publication from the
Wisconsin Cohort Study five years later indi-
cated that the prevalence of OSA in people
aged 30-60 years was 9-24% for men and 4-9%
for women.
10,11
Primary risk factors for OSA
include the male gender, those over age 40,
overweight persons or recent weight gain, and
persons with a large neck size or small
chin/jaw (Table 1).
12
Epidemiological studies have consistently
shown that body weight, and in particular BMI,
is the strongest risk factor for OSA. It is esti-
mated that about 70% of those with OSA are
obese and that the prevalence of OSA in obese
men and women is about 40%.
13,14
Twenty-six
percent of patients with a BMI greater than 30
and 33% of those with a BMI greater than 40
have moderate OSA.
15
A large neck circumfer-
ence is also associated with an increased risk
of OSA. In fact, neck circumference of 15.7 in
(40 cm) or greater may have a greater sensitiv-
ity and specificity than BMI in predicting OSA,
regardless of the person’s sex.
16,17
Age is also an important risk factor in the
development of OSA; the prevalence is estimat-
ed to triple in individuals greater than 65 years
of age compared with individuals aged 30-64
years.
18,19
Regarding gender, the male-to-
female ratio in community-based studies is
about 3:1.
20
It is theorized that body fat distri-
bution predispose men to OSA and that sex
hormones play a role in the modulation of
upper airway musculature.
As indicated above, the incidence of OSA
among male and female are 3:1 prior to
menopause. However, the incidence of OSA is
equal amongst males and females following
menopause. There is at least a threefold
increase in risk of OSA among post-
menopausal women compared to pre-
menopausal women.
21,22
In addition, there is a
lower prevalence of OSA among post-
menopausal women who were on hormone
replacement therapy.
23
Interestingly, there
does not appear to be any difference in preva-
lence between males and females prior to
puberty.
Structural factors related to craniofacial
bony anatomy can predispose patients to pha-
ryngeal collapse during sleep, including retrog-
nathia and micrognathia, mandibular hypopla-
sia, and high-arched palate.
24,25
Imaging stud-
ies have demonstrated that patients with OSA
have compromised pharyngeal lumens that
predispose them to collapse.
26
This was inde-
pendently confirmed under general anesthesia
that simulates the total muscle paralysis seen
during REM sleep.
27
Patients with Down syn-
drome, Marfan syndrome, and Prader-Willi
syndrome are particularly at risk due to these
structural factors.
In terms of ethnicity, African American indi-
viduals appear to be more predisposed to OSA
than Caucasians, with an odds ratio of 3 in chil-
Correspondence: Steven Brass, MD, MPH
Director of Neurology Sleep Medicine
4860 Y Street Suite 3700 Sacramento, CA 95817
Tel. +916.734.6785.
E-mail:steven.brass@ucdmc.ucdavis.edu
Key words: apnea, hypopnea, obstructive sleep
apnea, apnea hypopnea index, respiratory distur-
bance index, respiratory event related arousals.
Received for publication: 23 August 2011.
Accepted for publication: 30 August 2011.
This work is licensed under a Creative Commons
Attribution NonCommercial 3.0 License (CC BY-
NC 3.0).
©Copyright M.L. Ho and S.D. Brass, 2011
Licensee PAGEPress, Italy
Neurology International 2011; 3:e15
doi:10.4081/ni.2011.e15
[page 60] [Neurology International 2011; 3:e15]
d
ren younger than 14 and 2 in adults greater
than 25.
28
Individuals of Asian descent, particu-
larly Chinese individuals, have a more crowded
upper airway and retrognathia compared with
C
aucasians. OSA has a prevalence rate similar
in the Asian population sample to those in
Caucasians despite a lower obesity rate. Asians
have an increased risk of developing OSA,
r
egardless of weight or neck circumference, as
well as greater disease severity.
29
Pathophysiology
The International Classification of Sleep
Disorders, second edition (ICSD-2) was pub-
lished by the American Academy of Sleep
Medicine to standardize definitions and create
a systematic approach to the diagnosis of sleep
disorders. The ICSD-2 subdivides sleep disor-
ders into eight major categories, one of which
is sleep-disorder breathing (SDB).
30
The ICSD-2 further classifies SDB into three
basic categories: CSA syndromes, OSA syn-
dromes, and sleep-related hypoventilation/
hypoxic syndromes. OSA involves a complete
cessation or a significant decrease in airflow
in the presence of breathing effort. CSA is the
cessation of airflow with an absence of breath-
ing effort. Breathing effort is measured by
abdominal and/or chest movement.
The human airway is composed of soft tis-
sue that can collapse during REM sleep, when
the muscle tone of the body relaxes. Two major
factors likely contribute to OSA pathophysiolo-
gy: i) craniofacial structural abnormalities can
predispose patients to OSA; this has been dis-
cussed previously and has been recognized as
a primary risk factor for OSA; ii) larger soft tis-
sue mass or abnormal tissue deposits can also
increase extraluminal tissue pressure and
lower the threshold for airway collapse (Figure
1). In normal, nonobese individuals without
OSA, muscle relaxation during sleep does not
completely collapse the airway (normal).
However, airway collapse can occur during
muscle relaxation when there is a pathological
i
ncrease in tissue pressure, as a product of
extra soft tissue mass (in a normal-sized
enclosure) and/or structural limitations (small
maxillary or mandibular compartment) with
n
ormal tissue mass (Figure 1).
3
1
C
hronically,
this dysfunction can cause problems with the
regulation of pharayngeal dilator muscle acti-
vation (which plays an important role in main-
t
aining airway patency) in patients with OSA.
OSA is thus characterized by the partial or
total collapse of the pharyngeal airway during
sleep and the need to arouse to resume venti-
l
ation.
3
2
I
n adults, the obstruction typically
occurs at the level of the oropharynx
(uvula/soft palate or tongue).
3
3,34
Chronic
severe OSA can result in prolonged hypoxemia,
sleep deprivation, and other complications.
With most apneic events, the brain briefly
arouses in order for the body to resume breath-
ing, but consequently, sleep is extremely frag-
mented and of poor quality.
Several additional anatomical factors play a
role in OSA. These include the position that the
patient sleeps in, airway reactivity and airway
secretions. Position can have a strong influence
on airway patency. Because the airway is col-
lapsible, gravitational forces can cause the
retropulsion of the tongue and soft palate while
laying supine, thus generating increased posi-
tive tissue pressure and narrowing the airway.
35
For this reason, OSA worsens in the supine
sleeping position for most individuals.
36
Evaluation
Individuals with OSA are rarely aware of
their sleep disorder, even upon arousal.
37
Sleep
a
pnea is usually recognized as a problem by
family members who witness the apneic
episodes or by a primary care doctor because of
the individual’s risk factors and symptoms.
M
ost commonly, patients present with vague
complaints. Clinical symptoms can include
excessive daytime sleepiness (EDS) that usu-
ally begins during quiet activities (eg, reading,
w
atching television), daytime fatigue, feeling
tired despite a full night’s sleep, morning
headaches, personality and mood changes, dry
or sore throat, gastroesophageal reflux, and
s
exual dysfunction.
Snoring is a common finding in individuals
with OSA. Although not everyone who snores
is experiencing sleep apnea, snoring in combi-
nation with obesity has been found to be high-
ly predictive of OSA risk.
38
The volume of the
snoring is not indicative of the severity of
obstruction. However, snoring with witnessed
apneas has a 94% specificity for OSA.
The diagnosis of OSA is based on the evalu-
ation of clinical symptoms and risk factors, as
well as a formal sleep study evaluation
(polysomnography, or a portable home based
test). Individuals should be evaluated appro-
priately with screening questionnaires, as well
as a physical examination.
The Epworth sleepiness scale (ESS) has
been universally adopted as an effective
screening method to monitor for clinical symp-
toms of sleep apnea. This questionnaire is
used to help determine how frequently the
patient is likely to doze off in 8 frequently
encountered situations (e.g., as a passenger in
a car, sitting quietly after lunch, etc). A 2003
study showed that an ESS score of 12 or
greater is considered abnormal and would war-
rant a more formal evaluation.
39
However, the
Review
[Neurology International 2011; 3:e15] [page 61]
Table 1. Primary risk factors for obstruc-
tive sleep apnea.
Primary risk factors for sleep apnea
Weight gain or being overweight with a BMI >30
kg/m
2
Neck circumference [17in (or 43.2 cm) in men;
16in or (40.6 cm) in women]
Age >40
Male gender
Structural factors related to craniofacial anatomy
Ethnicity
Family history of sleep apnea
Figure 1. Reprinted with permission of the American Thoracic Society. Copyright (c) 2011
American Thoracic Society. White D. Pathogenesis of obstructive and central sleep apnea.
Am J Resp Crit Care Med. 2005; 172: 1363-1370. Official Journal of the American
Thoracic Society.
E
SS is still a subjective self assessment meas-
ure and may be inaccurate for a number of rea-
sons. Therefore, if a patient has multiple risk
factors for sleep apnea, the individual should
b
e sent for further evaluation if there is a sus-
picion of sleep apnea despite a low ESS.
Another effective screening tool that has
been used in the primary care population is
t
he Berlin questionnaire.
4
0
S
urvey questions
address snoring behavior, EDS/fatigue, and
history of obesity or hypertension. The sensi-
tivity of the Berlin questionnaire with regards
t
o high-risk patients having sleep apnea was
86%. Another screening tool called the STOP
BANG questionnaire was developed to screen
for the most common risk factors seen specifi-
cally in OSA. The term refers to a mnemonic
that represents 8 factors: Snoring, Tiredness,
Observed apneas, elevated blood Pressure,
BMI (greater than 35 kg/m
2
), Age (greater
than 50), Neck circumference (greater than 40
cm), and Gender (male). Patients receive a
point for each positive risk factor, and those
whose scores are equal to or greater than 3
have a higher likelihood of having OSA. The
sensitivities of the STOP BANG questionnaire
for mild, moderate, and severe sleep apnea
were 83.6%, 92.9%, and 100%, respectively.
The physical examination is frequently nor-
mal in patients with OSA, other than the pres-
ence of obesity, an enlarged neck circumfer-
ence, and/or structural craniofacial bony
abnormalities. There are other medical condi-
tions that may be associated with the develop-
m
ent of OSA, including hypothyroidism and
acromegaly. Both are associated with
macroglossia and increased soft tissue mass in
the pharyngeal region, and patients should be
r
outinely screened for these conditions as well.
Individuals should have a routine evaluation
of their upper airway. The Mallampati score
has been used for years to identify patients at
r
isk for difficult tracheal intubation. It is now
also used commonly by sleep physicians to
evaluate for risk of OSA. The classification pro-
vides a score of 1 thru 4 based on the anatom-
i
c appearance of the airway seen when an indi-
vidual opens his mouth (Figure 2). Studies
have shown that for each 1 score increase in
the Mallampati score, the number of apneic
events increase.
4
2
The next step in the assessment is a formal
sleep evaluation. An overnight polysomnogra-
phy (PSG) is recorded during the normal sleep-
ing hours of a patient. Patients sleep 6 to 8
hours before either awakening spontaneously
or being awokened. The goal of the PSG is to
quantify the amount of time spent in various
stages of sleep during the night and to docu-
ment clinically relevant events such as car-
diopulmonary abnormalities and/or changes in
sleep stages. The standard PSG includes limit-
ed multi-channel recording of an individual’s
electroencephalography (EEG) to assess for
sleep architecture, sleep stages and arousals.
In addition, surface electromyography of the
chin and all four limbs (to assess for move-
ment), electro-oculogram, airflow, pulse
o
ximetry, respiratory effort, electrocardio-
graphic (ECG) tracings, body position, and
snoring are all accumulated.
The portable home-based sleep study has
recently emerged as an alternative to the PSG.
It assesses for oximetry, thoracic and abdomi-
nal movements, and body position. The advan-
tage to this study is that it can be performed
o
vernight in the comfort of the individual’s
home and is more cost effective in comparison
to the formal PSG. In one study, normal
overnight oximetry was very sensitive in
excluding OSA.
43,44
However, the main limita-
tion of the portable home sleep study is that it
d
oes not have the EEG component; it is there-
fore not able to assess an individual’s sleep
architecture and will not be able to assess
arousals based on changes in sleep stages and
can therefore underestimate the prevalence of
OSA. It is thus indicated for use as an alterna-
tive to PSG for the diagnosis of OSA in patients
with a high pretest probability of moderate to
severe OSA and no other comorbid sleep disor-
ders or major comorbid medical disorders.
45
Patients should be excluded if they have con-
gestive heart failure, chronic obstructive pul-
monary disease, neuromuscular disease, use
certain medications (potent narcotics), or may
have another suspected causes for sleepiness.
Diagnosis
The American Academy of Sleep Medicine
(AASM) defines an apnea as a cessation in air-
flow lasting at least 10 sec; apneic episodes
can last anywhere from 10 sec to min, and may
occur multiple times per hour.
46
Hypopnea is
defined as a recognizable transient reduction
(but not complete cessation) of breathing for
at least10 sec. This differs from apnea in that
there remains some flow of air. In the context
of sleep disorders, a hypopnea event is only
considered to be clinically significant if there
is a 30% or more reduction in flow with an
associated 4% or greater desaturation in O2
level, lasting for 10 seconds or longer, or if it is
associated with an arousal or fragmentation of
sleep. Apneas and hypopneas are both consid-
ered in assessing the severity of a person’s
sleep disorder.
47
The Apnea-Hypopnea Index (AHI) is an
index used to assess the severity of sleep
apnea based on the total number of apneas and
hypopneas occurring per hour of sleep. In gen-
eral, an individual is considered to have an
OSA syndrome if they demonstrate an AHI of at
least 5 with the presence of daytime symptoms
or AHI of 15 or more independent of symptoms.
The AHI can also be used to stratify the sever-
ity of the disease; an AHI of 5-15 is classified
as mild, 15-30 is considered moderate, and
greater than 30 is considered severe.
48
Review
[page 62] [Neurology International 2011; 3:e15]
Figure 2. Mallampati
score. Author Jmarchn.
January 29, 2011.
Permission is granted to
copy, distribute and/or
modify this document
under the terms of the
GNU Free Documenta -
tion License, Version 1.2
or any later version pub-
lished by the Free Software
Foundation. [online]
Available from: http://en.
wikipedia.org/wiki/Malla
mpati_score.
A
nother measure that is often used is the
Respiratory Disturbance Index (RDI). Like the
AHI, RDI measures respiratory events; howev-
er, it also includes respiratory event related
arousals (RERAs). RERAs are arousals from
sleep that do not technically meet the defini-
tions of apneas or hypopneas, but do disrupt
sleep. Some research studies have found that
3
0% of symptomatic patients would have been
left untreated if the AHI were used rather the
RDI.
4
9
Please see Figure 5 for a simplified
guideline for the evaluation, diagnosis and
appropriate treatment options for OSA man-
agement.
Complications and comorbidities
Untreated, OSA can have a profound effect
on the body and can contribute to multiple
health problems (Table 2). It is associated with
cardiovascular disease,
50,51
hypertension,
52-54
stroke,
55
arrhythmias, and insulin resistance.
Patients with OSA have a 30% higher risk of
heart attack or death than those unaffected.
5
8
Hypertension that is primarily caused by OSA
(in contrast to essential hypertension) is dis-
tinctive in that the blood pressure does not
drop significantly when the individual is sleep-
ing.
59
OSA that remains untreated can also
have a negative effect on memory. Research
has recently shown that individuals with OSA
have mammillary bodies that were nearly 20
percent smaller on MRI.
60
This decreased tis-
sue mass may be related to the memory prob-
lems seen in chronic OSA.
OSA can have broader cognitive impair-
ments, including sustained attention, working
memory, visuospatial learning, motor perform-
ance, and executive functioning.
61,62
In partic-
ular, patients with OSA have been shown to
have impaired judgment, prolonged reaction
time and vision problems, all of which can
compromise work and driving ability.
63
OSA
increases motor vehicle accident risk by 2- to
3-fold, independent of EDS or AHI score.
64
Behavior and mood can also be profoundly
affected by a lack of the adequate restful sleep
seen in sleep apnea, including irritability,
aggressiveness, lack of attentiveness, as well
as depression.
65
There has been increasing recognition of
OSA as a comorbid condition in a number of
neurological disorders, including epilepsy,
stroke, multiple sclerosis, and headache. OSA
appears to be more prevalent in patients with
epilepsy than in the general population and
untreated OSA may theoretically worsen
seizure control by increasing seizure burden
through sleep disruption/deprivation.
66
OSA
also increases the risk of stroke and appears to
compromise rehabilitation following strokes.
67
It is theorized that OSA may directly cause
d
irect neural injury or cause extension of vas-
c
ular penumbra via hypoxia and ischemia in
stroke.
6
8
There appears to be a higher incidence of
OSA in the multiple sclerosis (MS) population,
but this has been poorly studied in small
prospective series. It is unclear at this time if
this comorbidity association is due to MS
lesions, symptomatic medications used for
p
ain and spasticity, etc.
6
9
C
hronic and morning
h
eadaches are a relatively common symptom
in OSA, and OSA may aggravate the frequency
and severity of migraines.
7
0
OSA treatment has
been shown to reduce cluster headache fre-
quency in patients with OSA and comorbid
cluster headaches.
71
The conclusion regarding
OSA as a comorbid condition in some neuro-
logical disorders is that neurologists should be
mindful of the fact that OSA is more prevalent
in their patient population and that practition-
ers should routinely screen for OSA in their
patients.
Treatment options
The most common first step in the treat-
ment of mild OSA is behavioral or lifestyle
modification, including losing weight, avoid-
ing alcohol, sleep aids or muscle relaxants, and
quitting smoking.
7
2
Weight loss in overweight
patients has been shown to decrease apneic
episodes,
72,73
both directly and by reducing
neck fat and nasopharyngeal crowding.
75,76
If an individual’s apneic episodes are mild
and occur mainly during supine sleep, then
patients are advised to take measures to avoid
sleeping supine.
77,78
The most common posi-
tion that apneic and hypopnic episodes are
observed during sleep is in the supine posi-
tion. These patients may also benefit from
sleeping at a 30-degree incline.
79
Both these
steps may help prevent the tongue and palate
from falling backwards and prevents the gravi-
tational collapse of the airway.
Along with lifestyle modifications, there are
other treatment options of OSA.
Positive airway pressure
For moderate to severe sleep apnea, the use
of a continuous positive airway pressure
(CPAP) is the first line therapy.
80
CPAP uses
continuous pressurized air flow to keep the
individual’s airway open during sleep. The
amount of pressure used is initially titrated
during the PSG (split test) based on the
patient’s comfort and lowest pressure required
to decrease apneic and hypopneic episodes.
CPAP therapy is the most effective treatment
option in reducing apneas in OSA.
81
It has
been shown to improve AHI, RDI, sleep archi-
tecture, EDS, neurobehavioral performance
and cardiovascular morbidity (hypertension).
However, noncompliance is common and may
be as high as 40%, due mainly to discom-
fort.
82,83
Newer models of CPAP devices humidify the
air, which decreases dry mouth and makes
usage more comfortable.
84
In addition, newer
models have automatic positive airway pres-
sure options. This modality automatically
titrates the amount of pressure delivered to the
patient to the minimum required to maintain
an unobstructed airway on a breath-by-breath
basis by measuring the resistance in the
patient's breathing, thereby giving the patient
the precise pressure required at a given
time.
85
BiPAP (variable/bilevel positive airway pres-
sure) provides two levels of pressure: a higher
inspiratory positive airway pressure (IPAP)
and a lower expiratory positive airway pres-
sure (EPAP) for easier exhalation. This modal-
ity appears to be better tolerated and individu-
als may find it easier to use; it is used in cases
when patients cannot tolerate CPAP, for
patients with chronic CO
2
retention as well as
sleep apnea, and for patients with neuromus-
cular disease who need some assistance with
nocturnal ventilation. BiPAP may also be more
useful in CSA.
86
Dental appliances
Dentists specializing in sleep dentistry can
make a custom-made mouthpiece that shifts
the lower jaw forward, thereby maintaining an
open airway (in theory). This approach can be
successful in individuals with mild to moder-
ate OSA but has been proven less effective for
severe cases.
87
In one study comparing CPAP
to dental appliance in mild to moderate OSA,
dental appliances decreased AHI from 21
(baseline) to 14, compared to a decreased AHI
of 5 in patients using CPAP.
88
Surgery
Surgical treatment for OSA needs to be indi-
vidualized in order to address all anatomical
areas of obstruction. The most frequently uti-
Review
[Neurology International 2011; 3:e15] [page 63]
Table 2. Long term health problems associ-
ated with untreated obstructive sleep
apnea.
Health problems associated with sleep
apnea
Hypertension
Stroke
Diabetes
Heart failure
Cardiac arrhythmia
Myocardial infarction
Obesity
Depression
Worsening of Attention Defficit Hyperactivity
Disorder (ADHD)
l
ized surgery treatment is the uvu-
lopalatopharyngoplasty (UPPP or UP3). These
surgeries aim to address pharyngeal obstruc-
tion by removing tissue in the back of the
t
hroat, including part of the uvula, the soft
palate, the tonsils, the adenoids and pharynx
(Figure 3). In a retrospective review compar-
ing CPAP to surgery, there appeared to be
s
uperior results with CPAP compared to
UPPP.
89
Further studies have not been conclu-
sive that this surgery has been effective at
treating severe OSA.
90
M
axillomandibular advancement (MMA) is
another type of surgery that has been used to
treat OSA. This procedure aims to advance the
maxilla and mandible, thereby pulling forward
the anterior pharyngeal tissues attached to the
maxilla, mandible and hyoid to structurally
enlarge the retrolingual and retropalatal
spaces (Figure 4).
91
It is considered the most
e
ffective surgery for OSA patients, because it
increases the posterior airway space.
92
In a
study in 2008, it was noted that MMA surgery
led to a significant increase in general produc-
t
ivity, social outcome, activity level and sex.
9
3
In addition, there are specialized tech-
niques that are available for correction of spe-
cific regions or obstruction, including the
n
asal passages (septoplasty and turbinate sur-
gery), the soft palate (implantation of Dacron
pillars) and the tongue. However, there have
not been clinical trials or current evidence to
s
upport the use of these techniques in the
treatment of OSA.
Pharmacological management
Medications are generally not a part of the
primary treatment of OSA. Modafinil is
approved by the FDA for use in patients with
OSA who have residual daytime sleepiness.
A
rmodafinil, the R-enantiomer of modafinil, is
now FDA approved for use as well. The
American Academy of Sleep Medicine (AASM),
in a clinical review of medical therapies for
OSA, recommended Modafinil as a standard
treatment of residual excessive daytime
sleepiness in patients with OSA despite maxi-
mal management of CPAP. Protriptyline was
not recommended as a primary treatment for
OSA, although it was acknowledged that it may
induce moderate improvement in the AHI in
patients with OSA and may be used as a second
line treatment option. Aminophylline, theo-
p
hylline, SSRIs and estrogen were not recom-
mended for treatment of patients with OSA
given that there was no consistent evidence of
their effectiveness.
94
Conclusions
In the context of the current epidemic of
obesity, the prevalence and consequences of
OSA will likely increase in the coming years.
Given the aging population, the number of
neurological patients with OSA and comorbid
stroke, epilepsy, headache, and cognitive
decline will also likely rise. OSA can signifi-
cantly affect physical health, mental health and
emotional well-being. Fortunately, screening
methods for sleep apnea have improved, and
there are now very effective means of diagno-
sis and treatment. Treatment can lead to a ben-
eficial impact on a patient’s health and quality
of life. Several treatment options exist, and
research into additional options continues.
The medical community faces many hurdles
regarding the development of adequate early
screening and appropriate treatment of OSA.
An important next steps in understanding and
treating OSA is to be proactive and develop bet-
ter screening methods and properly treat
patients at risk (Figure 5).
It is imperative that the medical communi-
ty understand that the effects of OSA is far-
reaching, and early detection/treatment will
be beneficial to individual patients, as well as
a cost-effective public health measure to
reduce morbidity and mortality. Physicians of
all specialties should screen for the presence
of sleep disturbances and consider referral to
a sleep specialist when indicated.
Neurologists, in particular, should be mindful
of comorbid OSA in their patient population,
since prompt identification and treatment of
OSA may reduce health risk and improve neu-
rological functioning.
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... There are three types of sleep apnea. First, central sleep apnea (CSA), is a less common type; the airway is not blocked; the brain fails to signal the muscles to breathe, and breathing is interrupted by a lack of respiratory effort [6,7]. Second, obstructive sleep apnea (OSA), the more common type that occurs when throat muscles relax [6]. ...
... Patients with OSA are evaluated based on factors like snoring, witnessed apnea, hypertension, BMI, and neck circumference [12]. Key symptoms include daytime fatigue, lack of energy, insomnia, morning headaches, mood disturbances, nightmares, gasping, and nocturnal sweating [2,7]. These symptoms can affect work productivity, with common signs like snoring, difficulty falling asleep, and frequent awakenings with gasping or choking [5,10]. ...
... OSA can lead to various health issues, including cardiovascular disease, hypertension, stroke, arrhythmias, diabetes, depression, and cognitive impairments. Patients with OSA have a 30% higher risk of heart attack or mortality than those without the condition [6,7]. Untreated OSA increases the risk of memory problems, myocardial infarction, coronary revascularization, heart failure, cardiovascular death, and ischemic stroke [2,4]. ...
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Obstructive sleep apnea (OSA) is a common disease that affects a large number of people around the world. It could be prevented if diagnosed early, but many cases go undetected due to the cost and limitations of home overnight polysomnography (PSG) systems. In this research, we propose a new diagnostic method for detecting the OSA disease using a feature extraction and classification approach from the electrocardiograph (ECG) signal only. The ECG can be easily extracted at home in a comfortable and minimally invasive way by anyone; then, the Dual-Tree Complex Wavelet Transform (DTCWT) is used to denoise the ECG signal. Five features were extracted, and the classification process was performed using the Adaptive Neuro Fuzzy Inference System (ANFIS).
... Sleep apnea is a breathing disorder that happens during sleep where the breathing suddenly pauses repeatedly for a minute or longer which is shown by a few symptoms such as loud and heavy snoring, sudden pause in breathing during sleep, gasping and fatigue during the day (7). Sleep apnea is becoming increasingly prevalent (8). Prior research has demonstrated that BMI is an important risk factor for sleep apnea (8)(9)(10). ...
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Sleep apnea (SA) is considered one of the most dangerous sleep disorders. That happens when a person is sleeping, his or her breathing repeatedly stops and starts. In order to develop therapies and management strategies that will be effective in treating SA, it is critical to precisely diagnose sleep apnea episodes. In this study, the single-lead electrocardiogram (ECG), one of the most physiologically pertinent markers for SA, is analyzed to identify the SA issue. In this paper, a novel signal processing method is proposed, in which noise filtering is added and the detection of R peaks is utilized. Particularly, the Teager Energy Operator (TEO) algorithm is applied to detect R peaks and then obtain the RR intervals and amplitudes. Afterward, the SE-ResNeXt 50 deep learning model, which has never been used in SA detection before, is used as a classifier to perform the objective. The proposed model, which is a variation of ResNet 50, has the ability to use global information to highlight helpful information while allowing for feature recalibration. In order to confirm the proposed method, the benchmark dataset PhysioNet ECG Sleep Apnea v1.0.0 is used. Results are better than current research, with 89.21% accuracy, 90.29% sensitivity, and 87.36% specificity. This is also clear evidence that the ECG signals can be taken advantage of to efficiently detect SA.
... Notably, those who napped 1-2 times per week exhibited the highest cognitive function scores, highlighting the association between daily napping and increased risk of memory impairment (Auyeung et al., 2013). We explored sleep disorders, with particular emphasis on sleep apnea, which is a widely recognized condition that negatively affects overall health (Ho and Brass, 2011;Moyer et al., 2001). Harner et al. (Harner and Budescu, 2014) conducted an in-depth investigation into the association between poor sleep quality and sleep apnea, revealing additional evidence supporting the association between sleep apnea and the likelihood of experiencing memory problems. ...
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Objective When chatting, people often forget what they want to say, that is, they suffer from subjective memory complaints (SMCs). This research examines the Association between sleep duration and self-reported SMC in a sample representing the entire United States. Methods We examined data from 5567 individuals (aged 20–80) who participated in the National Health and Nutrition Examination Survey (2015–2018) to evaluate the association between sleep duration and SMC. Odds ratios (ORs) and a restricted cubic spline (RCS) curve were calculated with multiple logistic regression, and subgroup analysis was performed. Results Approximately 5.8 % (3 2 3) reported SMC, and most are older people (1 6 3). RCS analysis treating sleep duration as a continuous variable revealed a J-shaped curve association between sleep duration and SMC. Self-reported sleep duration was significantly linked to a 33 % elevated risk of SMC (OR, 1.33; 95 % confidence interval [CI], 1.23–1.43; P < 0.001). In the group analysis, individuals who slept more than 8 h per day had a greater association of experiencing SMC than those who slept for 6–8 h/day (OR, 1.75; 95 % CI, 1.36–2.23; P < 0.001). In the analysis of age groups, the stable association between sleep duration and SMC was observed only in the 60–80 age bracket (OR, 1.59; 95 % CI, 1.09–2.33; P < 0.001). Conclusions We found that people with self-report sleep duration exceeding 8 h are more likely to experience SMC, especially older adults. Improving sleep health may be an effective strategy for preventing SMC and cognitive impairment.
... Recent findings have illuminated that increased NC offers greater specificity and sensitivity in diagnosing OSAS when compared to traditional obesity indicators such as BMI, BFP and WHR. 19 This enhanced diagnostic capability can be attributed to the direct correlation between NC and adipose tissue accumulation around the upper airway, which is intimately linked to the pathophysiological mechanisms underlying OSAS. The proliferation of subcutaneous and peripharyngeal fat in the upper airway results in the enlargement of soft tissues. ...
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Purpose This investigation sought to elucidate the genetic underpinnings that connect obesity indicators, circulating blood lipid levels, adipokines levels and obstructive sleep apnea syndrome (OSAS), employing a bidirectional two-sample Mendelian randomization (MR) analysis that utilizes data derived from extensive genome-wide association studies (GWAS). Methods We harnessed genetic datasets of OSAS available from the FinnGen consortium and summary data of four obesity indices (including neck circumference), seven blood lipid (including triglycerides) and eleven adipokines (including leptin) from the IEU OpenGWAS database. We primarily utilized inverse variance weighted (IVW), weighted median, and MR-Egger methods, alongside MR-PRESSO and Cochran’s Q tests, to validate and assess the diversity and heterogeneity of our findings. Results After applying the Bonferroni correction, we identified significant correlations between OSAS and increased neck circumference (Odds Ratio [OR]: 3.472, 95% Confidence Interval [CI]: 1.954–6.169, P= 2.201E-05) and decreased high-density lipoprotein (HDL) cholesterol levels (OR: 0.904, 95% CI: 0.858–0.952, P= 1.251E-04). Concurrently, OSAS was linked to lower leptin levels (OR: 1.355, 95% CI: 1.069–1.718, P= 0.012) and leptin receptor levels (OR: 0.722, 95% CI: 0.530–0.996, P= 0.047). Sensitivity analyses revealed heterogeneity in HDL cholesterol and leptin indicators, but further multiplicative random effects IVW method analysis confirmed these correlations as significant (P< 0.05) without notable heterogeneity or horizontal pleiotropy in other instrumental variables. Conclusion This investigation compellingly supports the hypothesis that OSAS could be a genetic predisposition for elevated neck circumference, dyslipidemia, and adipokine imbalance. These findings unveil potential genetic interactions between OSAS and metabolic syndrome, providing new pathways for research in this domain. Future investigations should aim to delineate the specific biological pathways by which OSAS impacts metabolic syndrome. Understanding these mechanisms is critical for developing targeted prevention and therapeutic strategies.
... Retrospective studies suggest a high prevalence of comorbid PLM in patients with obstructive sleep apnea (OSA) (16). OSA is known as the most relevant form of sleepdisordered breathing, anatomically defined by partial to complete airway obstruction during sleep, even when respiratory effort is still present (17,18). The relationship between OSA and PLM is complex, and a precise rationale is unclear. ...
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Background Periodic limb movement disorder (PLMD) and obstructive sleep apnea (OSA) are overlapping clinical syndromes with common risk factors. However, current literature has failed to establish a clear pathophysiological link between them. Thus, little is known about periodic limb movements (PLM) in otherwise healthy patients with suspected OSA. Methods We performed a retrospective analysis of 112 patients (age: 44.5 ± 12.0 years, 14.3% female) with suspected OSA who underwent full night polysomnography for the first time. Patients with chronic diseases of any kind, recent infections, malignancies, or daily or regular use of any type of medication were excluded. Group comparisons were made based on the severity of OSA (using the apnea hypopnea index, AHI) or the periodic limb movement index (PLMI). Results Both, PLMI and the total number of periodic limb movements during sleep (PLMS), showed a significant increase in patients with severe OSA. In addition, AHI and apnea index (AI) were significantly higher in patients with PLMI >15/h, with a similar trend for hypopnea index (HI) (p < 0.001, p < 0.001, and p > 0.05, respectively). PLMI was significantly positive correlated with AHI, AI, and HI (r = 0.392, p < 0.001; r = 0.361, p < 0.001; and r = 0.212, p < 0.05, respectively). Patients with PLMI >15/h were significantly older (p < 0.001). There was no significant association between body mass index (BMI) and PLMI >15/h. Conclusion We found a significant association between the severity of OSA and PLM in our study population with suspected OSA but without other comorbidities. PLMI and PLMS were significantly increased in patients with severe OSA. Future prospective studies with larger collectives should verify the presented results and should include mechanistic aspects in their evaluation.
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Obstructive sleep apnea is a well‐known risk factor regarding the severity of COVID‐19 infection. However, to date, relatively little research performed on the prevalence of obstructive sleep apnea in COVID‐19 survivors. The purpose of this study was to investigate the risk of obstructive sleep apnea after COVID‐19 infection. This study was based on data collected from the US Collaborative Network in TriNetX. From January 1, 2020 to June 30, 2022, participants who underwent the SARS‐CoV‐2 test were included in the study. Based on their positive or negative results of the COVID‐19 test results (the polymerase chain reaction [PCR] test), we divided the study population into two groups. The duration of follow‐up began when the PCR test was administered and continued for 12 months. Hazard ratios (HRs) and 95% confidence intervals (CIs) for newly recorded COVID‐19 positive subjects for obstructive sleep apnea were calculated using the Cox proportional hazards model and compared to those without COVID‐19 infection. Subgroup analyses were performed for the age, sex, and race, groups. The COVID‐19 group was associated with an increased risk of obstructive sleep apnea, at both 3 months of follow‐up (HR: 1.51, 95% CI: 1.48–1.54), and 1 year of follow‐up (HR: 1.57, 95% CI: 1.55–1.60). Kaplan–Meier curves regarding the risk of obstructive sleep apnea revealed a significant difference of probability between the two cohorts in the follow‐up periods of 3 months and 1 year (Log‐Rank test, p < 0.001). The risks of obstructive sleep apnea among COVID‐19 patients were significant in the less than 65 year of age group (HR: 1.50, 95% CI: 1.47–1.52), as well as in the group older than or equal to 65 years (HR:1.69, 95% CI: 1.64–1.73). Furthermore, the risks of obstructive sleep apnea were evident in both the male and female COVID‐19 groups. Compared to the control group, the risks of obstructive sleep apnea in the COVID‐19 participants increased in the subgroups of White (HR: 1.62, 95% CI: 1.59–1.64), Blacks/African Americans (HR: 1.50, 95% CI: 1.45–1.55), Asian (HR: 1.46, 95% CI: 1.32–1.62) and American Indian/Alaska Native (HR: 1.36, 95% CI: 1.07–1.74). In conclusion, the incidence of new diagnosis obstructive sleep apnea could be substantially higher after COVID‐19 infection than non‐COVID‐19 comparison group. Physicians should evaluate obstructive sleep apnea in patients after COVID‐19 infection to help prevent future long‐term adverse effects from occurring in the future, including cardiovascular and neurovascular disease.
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Diabetes mellitus (DM) is a disease that continues to increase every year and is one of the world's death threats. The triad of DM symptoms includes drinking, eating and urinating frequently as well as drastic weight loss which causes a decrease in body muscle mass in the nasopharynx and oropharynx resulting in collapse and Obstructive sleep apnea (OSA). This study aims to analyze the relationship between body mass index and waist circumference with the risk of obstructive sleep apnea (OSA) in diabetes mellitus patients in the working area of the Karang Pule Health Center, Mataram City. This study uses a correlation research design. The number of samples used was 87 respondents with a purposive sampling technique. Data analysis in this study used the Spearman rank test. The results showed that there was a relationship between body mass index and the risk of obstructive sleep apnea (OSA) in diabetes mellitus patients with a p value of 0.043 (< α 0.05) and there was a relationship between waist circumference and the risk of obstructive sleep apnea (OSA) with a p value of 0.028 (< α 0.05). Based on the results of this study, it is necessary to support the family and diabetics themselves to maintain a good and regular lifestyle and diet in accordance with the 7 pillars of management of diabetes mellitus to prevent various complications.
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Obstructive sleep apnea (OSA) is an extremely common public health problem manifested by sleep-disordered breathing, daytime hypersomnia and poor sleep quality, adverse neurocognitive sequelae, and hypoxia. OSA occurs in about two-four percent of the general population, or an estimated 18 million Americans.1 Co-morbid OSA is even more frequent in neurological patients, affecting at least one-third of those with epilepsy and about two-thirds of stroke survivors. Just as effective treatment of OSA may improve hypertensive control and reduce risk of cardiovascular complications, there is now growing evidence that treating co-morbid OSA also improves neurological outcomes such as cognitive functioning and seizure control. Since neurologists frequently serve as principal care providers for those with epilepsy, stroke, multiple sclerosis, and migraine, it is crucial for neurology physicians to be familiar with the identification of sleep apnea early in its presentation to provide optimal care for their patients. This article reviews the typical common clinical manifestations of obstructive sleep apnea and its adverse impact on neurocognitive functioning, focuses on the influence of co-morbid OSA on selected neurological disorders, and provides some concluding practical pointers on the diagnosis and treatment of OSA for practicing neurologists.
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Positive airway pressure (PAP) is used to treat obstructive sleep apnea (OSA), central sleep apnea (CSA), and chronic hypoventilation. This document provides a systematic analysis and grading of peer-reviewed, published clinical studies pertaining to application of PAP treatment in adults. The paper is divided into 5 sections, each addressing a series of questions. The first section deals with whether efficacy and/or effectiveness have been demonstrated for continuous PAP (CPAP) treatment based on a variety of parameters and the level of OSA severity. Next, CPAP titration conducted with full, attended polysomnography in a sleep laboratory is compared with titration done under various other conditions. The third section investigates what can be expected regarding adherence and compliance with CPAP treatment as measured by subjective and objective methods and what factors may influence these parameters. Side effects and the influence of other specific factors on efficacy, effectiveness and safety of CPAP therapy are evaluated in the fourth section. Finally, the use of bilevel PAP therapy is reviewed for both patients with OSA and those with other selected nocturnal breathing disorders. Each section also contains a brief summary and suggestions for future research.
Article
Obstructive sleep apnea (OSA) and stroke are frequent, multifactorial entities that share risk factors, and for which case-control and cross-sectional studies have shown a strong association. Stroke of respiratory centers can lead to apnea. Snoring preceding stroke, documentation of apneas immediately prior to transient ischemic attacks, the results of autonomic studies, and the circadian pattern of stroke, suggest that untreated OSA can contribute to stroke. Although cohort studies indicate that OSA is a stroke risk factor, controversy surrounds the cost-effectiveness of the screening for and treatment of OSA once stroke has occurred.
Article
Objective: To determine the prevalence of sleep apnea in morbidly obese patients and its relationship with cardiac arrhythmias. Research Methods and Procedures: Fifty-two consecutive morbidly obese (body mass index ≥ 40 kg/m2) outpatients from the Obesity Clinic of the National Institute of Nutrition Salvador Zubirán underwent two nights of polysomnography with standard laboratory techniques. Electrocardiographic polysomnography signals (Lead II) were evaluated by two experienced cardiologists, and sleep complaints were measured with a standard sleep questionnaire (Sleep Disorders Questionnaire). In order to make comparisons between groups with different severities of sleep-disordered breathing, we classified the patients in four groups using the apnea-hypopnea index (AHI): Group 1, AHI 5 < 15 (n = 10); Group 2, AHI 15 < 30 (n = 10); Group 3, AHI 30 < 65 (n = 14); Group 4, AHI ≥ 65 (n = 17). Results: A wide range of sleep-disordered breathing, ranging from AHI of 2.5 to 128.9 was found. Ninety-eight percent of the sample (n = 51) had an AHI ≥ 5 (mean = 51 ± 37), and 33% had severe sleep apnea with AHI ≥ 65 with a mean nocturnal desaturation time of <65% over 135 minutes. Electrocardiographic abnormalities were present in 31% of the patients. Cardiac rhythm alterations showed an association with the level of sleep-disordered breathing and oxygen desaturation. Discussion: We conclude that there is a high prevalence of sleep apnea in morbidly obese patients and that the risk for cardiac arrhythmias increases in this population in the presence of a severe sleep apnea (AHI ≥ 65) with severe oxygen desaturation (Sao2 ≤ 65%).
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More than half of the patients hospitalised with stroke suffer from sleep-disordered breathing and 5 - 10 % of patients with newly diagnosed obstructive sleep apnea (OSA) have a history of stroke. Epidemiological studies have shown that untreated OSA is an independent risk factor for stroke. Various pathophysiological mechanisms may contribute to the development of stroke in these patients (i. e., OSA-associated arterial hypertension, atherosclerosis, atrial fibrillation, paradoxical embolism through a patent foramen ovale and disturbed cerebrovascular reactivity). Co-existent OSA has a negative impact on both the recovery of neurological functions and the survival of patients with stroke. On the other hand, CPAP therapy has beneficial effects on the incidence and recurrence of stroke in OSA and also on the clinical outcome of those patients who are victims of stroke. © Georg Thieme Verlag KG Stuttgart · New York.
Article
The aim of this study was to examine the effect of a very low-calorie diet (VLCD)-induced weight loss on the severity of obstructive sleep apnoea (OSA), blood pressure and cardiac autonomic regulation in obese patients with obstructive sleep apnoea syndrome (OSAS). A total of 15 overweight patients (14 men and one woman, body weight 114 ± 20 kg, age 52 ± 9 years, range 39–67 years) with OSAS were studied prospectively. They were advised to follow a 2·51–3·35 MJ (600–800 kcal) diet daily for a 3-month period. In the beginning of the study, the patients underwent nocturnal sleep studies, autonomic function tests and 24-h electrocardiograph (ECG) recording. In addition, 15 age-matched, normal-weight subjects were studied. They underwent the Valsalva test, the deep-breathing test and assessment of heart rate variability at rest. The sleep studies and autonomic function tests were repeated after the weight loss period. There was a significant reduction in weight (114 ± 20 kg to 105 ± 21 kg, P<0·001), the weight loss being 9·2 ± 4·0 kg (range 2·3–19·5 kg). This was associated with a significant improvement in the oxygen desaturation index (ODI4) during sleep (31 ± 20–19 ±18, P<0·001). Before the weight loss the OSAS patients had significantly higher blood pressure (150 ± 18 vs. 134 ± 20, P<0·05, for systolic blood pressure, 98 ± 10 vs. 85 ± 13, P<0·05, for diastolic blood pressure) and heart rate (67 ± 10 beats min−1 vs. 60 ± 13, P<0·05) at rest than the control group. They had also lower baroreflex sensitivity (4·7 ± 2·8 ms mmHg−1 vs. 10·8 ± 7·1 ms mmHg−1, P<0·01). During the weight reduction, the blood pressure declined significantly, and the baroreflex sensitivity increased by 49%. In conclusion, our experience shows that weight loss with VLCD is an effective treatment for OSAS. Weight loss improved significantly sleep apnoea and had favourable effects on blood pressure and baroreflex sensitivity that may have prognostic implications.
Article
Population-based epidemiological studies estimate the prevalence of obstructive sleep apnoea syndrome (OSAS) to be at least 2% of adult females and 4% of adult males in the developed world based on an apnoea/hypopnoea frequency (AHI) of >5 events·h−1 associated with excessive daytime sleepiness. However, a substantial proportion of these individuals are undiagnosed 1–3. Furthermore, it is very likely that these epidemiological data, now dating back many years, underestimate the current prevalence of OSAS given the dramatic increase in obesity over recent decades 4. Existing evidence points to OSAS as an independent risk factor for motor vehicle accidents, neurocognitive deficits, and cardiovascular morbidity and mortality 5–8. Substantial evidence also supports the argument that appropriate treatment of OSAS reduces the risk of these consequences 9–11. Since the diagnosis of OSAS requires both clinical assessment and objective monitoring of sleep-disordered breathing 12, there are major resource implications for the management of patients with suspected sleep apnoea. However, the perceived need in many healthcare systems to perform costly and labour-intensive polysomnography (PSG) in a sleep laboratory limits patient access to diagnosis and treatment 13. Commercially available and relatively inexpensive portable monitors might facilitate earlier recognition of disease and faster initiation of treatment, thereby reducing the healthcare burden associated with OSAS 14. Interest in the clinical application of portable monitoring devices is growing rapidly, and is being used as a mainstay approach to the management of OSAS in some settings. This interest is also supported by the lack of obvious clinical benefit when using full PSG rather than simplified monitoring, as evidenced in a US health technology assessment 15. An international workshop to determine the research priorities in ambulatory management of adults with OSAS was held on October 15–16, 2007, …