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Obstructive sleep apnoea
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Sophia E. Schiza, Izolde Bouloukaki and Athanasia Pataka
Clinical aspects
OSA is recognised as one of the most prevalent adult chronic respiratory disorders
in clinical practice. Due to its high prevalence and its individual and socioeconomic
healthcare consequences, improved routine screening and assessment are required.
However, the marked heterogeneity of OSA pathogenesis should be taken into
account, as this could lead to considerable interindividual variability and dierent
clinical presentation between patients.
Clinical symptoms
A detailed sleep history is an essential part of OSA evaluation. Although clinical symptoms
may be crucial in identifying OSA, none of them are considered pathognomonic.
Snoring is a frequent associated complaint, but a wide variety of nocturnal and daytime
symptoms may be present (table 1). Furthermore, symptoms oen begin insidiously
and develop progressively over several years before referral for evaluation (table 1).
EDS is one of the most commonly reported symptoms, aecting 40.5–58% of OSA
patients. It can have a significant impact on quality of life as well as cognition, behaviour
and other aspects of daily functioning. Questioning patients and their bed partners
about sleepiness typically reveals a pattern of a patient feeling sleepy in boring, passive
or monotonous situations. However, special consideration should be given to situations
in which the patient’s sleepiness impairs functional abilities, potentially threatening
job security, driving safety and negatively impacting interpersonal relationships. EDS
may also be masked by activity or caeine consumption. In addition to EDS symptoms,
patients oen report nonrestorative sleep and nocturnal restlessness.
Key points
• OSA is a heterogeneous disorder in terms of its pathogenesis (endotypes) and
clinical expression (phenotypes).
• Common OSA symptoms are: EDS, snoring, witnessed apnoeas, fatigue,
insomnia, headaches and nocturia; however, there are various presentations,
depending on the clinical phenotypes.
• Patients with OSA are at increased risk of several adverse clinical outcomes,
including cardiovascular, neurocognitive and metabolic complications.
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Table 1. Clinical symptoms of OSA
Nocturnal symptoms Daytime symptoms
Snoring
Witnessed apnoeas, interrupting snoring
and ending with a snort
Gasping and choking sensations that may
wake the patient from sleep
Restless sleep, with frequent arousals
Nocturia
Insomnia
Nocturnal sweating
EDS during quiet activities; as severity
worsens, patients are sleepy during
activities requiring alertness (e.g. work,
driving)
Nonrestorative sleep
Daytime fatigue/tiredness
Morning headache
Dry or sore throat
Cognitive deficit: memory impairment,
loss of concentration
Decreased vigilance
Personality and mood changes (depression
and anxiety)
Sexual dysfunction (decreased libido,
impotence)
Gastro-oesophageal reflux
As well as EDS, a significant proportion of patients identify lack of energy, exhaustion
and fatigue as their main symptoms. Moreover, sleepiness and fatigue frequently
coexist. However, as patients oen interchangeably use the terms ‘sleepiness’ and
‘fatigue’, it is critical to distinguish EDS from fatigue. To facilitate this distinction, the
ESS can be used to quantify the patient’s perception of sleepiness. Patients with an ESS
score of >10 are considered sleepy. Despite being the most widely used questionnaire
for EDS assessment, the ESS has not been shown to correlate well with objective
measures of sleepiness.
Neurocognitive dysfunction, such as intellectual deficiency, memory impairment,
lack of concentration, decreased libido, mood disorders and dry mouth, are other
common OSA symptoms. Morning headache has also been reported in 10–30%
of OSA patients, occurring almost daily and lasting several hours aer waking.
Additionally, ∼30–50% of OSA patients report having clinically significant insomnia
symptoms, mainly sleep maintenance insomnia. This phenomenon is more
prominent in females.
A number of nocturnal symptoms may also be present, such as snoring, choking,
witnessed apnoeas, gasping, waking with a dry mouth and nocturia (table 1). The
most common symptom is snoring, which has a sensitivity of 80–90% for OSA
diagnosis but a specificity of <50%. OSA severity appears to be positively correlated
with snoring intensity, although not all studies replicate this association. However,
the absence of snoring reduces the likelihood of OSA diagnosis, particularly where
associated risk factors are absent. Taken together, disruptive snoring and witnessed
apnoeas have a specificity of 94% for predicting OSA. It is usually beneficial to have
the patient’s bed partner or family present at the interview as they oen have greater
insight than the patient into the severity and frequency of these symptoms during
sleep. It is also important to note that patients sometimes report symptoms that
relate to OSA-associated diseases or complications, such as chest pain due to angina
pectoris or palpitations due to atrial fibrillation (AF), as well as neuropsychiatric
symptoms.
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Risk factors and associated conditions
Several risk factors and a variety of medical conditions, evaluated in many studies
worldwide, are associated with an increased risk of OSA, with obesity and male
sex being the most significant (table 2). The prevalence of OSA increases with age;
nevertheless, OSA is under-recognised in elderly patients due to the absence of typical
symptoms of self-reported breathing pauses and snoring.
Physical examination
Physical examination of a patient presenting with a history that is indicative of OSA
should include assessment of associated risk factors, such as BMI and waist-to-hip
ratio, cardiorespiratory auscultation, BP measurement and identification of peripheral
oedema. The patient’s history may also guide focused neurological examination.
Comorbidities associated with OSA should also be evaluated.
In all patients, and particularly in non-obese patients with symptoms that are
compatible with OSA, it is essential to evaluate the upper airway for potential
craniofacial abnormalities and to examine the nasal and oral cavities, including tonsil
size, tongue size and architecture of the hard palate and faucial pillars. A simple
way of quantifying airway narrowing is by using Mallampati and Friedman scoring
of the oropharynx. Both oropharynx evaluation techniques predict OSA severity
Table 2. Risk factors and conditions associated with OSA
Risk factors at clinical examination
Obesity, high BMI
Neck circumference of >43 cm in men and >38 cm in women
Male sex
Age >50 years
Postmenopausal state
Pregnancy/pregnancy-induced hypertension
Ethnicity (African-Americans, Asian populations)
Smoking and alcohol consumption
Nasal obstruction
Craniofacial anatomical structure (retrognathia, macroglossia, increased or modified
Mallampati score, Friedman tongue position, high-arched palate)
Neuropathy or myopathy of the upper airway (i.e. the genioglossus muscle)
Conditions associated with OSA
Hypertension (particularly resistant), ‘non-dipping’ pattern
AF
Stroke and transient ischaemic attacks
CHF
PH
OHS
Metabolic syndrome
Type 2 diabetes mellitus
Polycystic ovary syndrome
Acromegaly
Hypothyroidism
Chronic lung disease (asthma, COPD, IPF)
End-stage kidney disease
Parkinson disease
Down syndrome, Pierre Robin syndrome
IPF: idiopathic pulmonary fibrosis.
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satisfactorily, with the Friedman score correlating more strongly with OSA severity
than the Mallampati score. Fibreoptic nasopharyngoscopy with Mueller’s manoeuvre
is an alternative method of observing pharyngeal structures. This method is widely
used in upper airway evaluation ahead surgery, in order to improve patient selection
and predict outcome and postoperative changes in the upper airway.
Parameters from clinical examination, as well as symptoms, demographics (sex
and age) and the presence of comorbidities, have been used to develop clinical
questionnaires for OSA prediction. However, there is significant variability in the
sensitivity and specificity of these OSA-screening tools. Nevertheless, these tools
may assist in early identification of high risk OSA patients and prioritisation of
diagnostic testing.
The clinical phenotypes of OSA and their relationship with underlying
pathophysiology
OSA is a heterogeneous disorder in terms of its pathogenesis and clinical
expression. One approach to addressing this heterogeneity is to cluster symptoms
and comorbidities, and to identify clinical phenotypes with distinct characteristics.
The term ‘phenotype’ is dierentiated from ‘endotype’, which is a subtype of the
disease defined by a distinct functional or pathophysiological mechanism. Potential
pathophysiological endotypes that play an important role in the pathogenesis of OSA
include a narrow or collapsible upper airway (‘impaired anatomy’), impairment in
pharyngeal dilator muscle control and function during sleep, increased propensity for
waking during airway narrowing (low respiratory arousal threshold) and respiratory
control instability (high loop gain). All of these endotypes may interact dierently
according to sex, age and ethnicity.
Currently there is no agreement on how to categorise OSA into dierent phenotypes.
Dierent methodologies of cluster analysis have tried to identify clearly distinct
subgroups of OSA, with minimal dierences between two patients within the same
phenotype and evident dierences between two patients with distinct phenotypes.
Figure 1 illustrates the classification of potential clinically relevant OSA phenotypes,
based on symptom, sex, age and ethnicity, and presents their correlation with their
corresponding predominant endotype.
The symptom-based phenotype
For decades, dierent presenting symptoms have been used to phenotype OSA
patients. Initially, three dierent symptom-based phenotypes were subjectively
reported: patients experiencing insomnia-related symptoms, relatively asymptomatic
patients and excessively sleepy patients. Similar OSA symptom phenotypes appear to
be associated with a varying CVD risk. Up to 60% of OSA patients present with EDS,
associated with impaired concentration, mood changes and other neurocognitive
diculties. EDS phenotypes also seem to be associated with the incidence of
hypertension, CVD, glucose metabolism and mortality. With this in mind, it was
proposed that OSA with EDS is a distinct phenotype from other OSA subtypes, with
important clinical implications. However, the phenotypes of patients with minimal
symptoms and insomnia also appear to be linked to adverse clinical outcomes.
The sex-specific phenotype
The lower prevalence of OSA in females may be the result of dierences in ageing,
hormones, upper airway anatomy, fat distribution and respiratory stability between
the sexes. Specifically, the upper airways in females are less collapsible and more
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Asian
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Anatomical
Male phenotype
Anatomical
(android obesity)
Rostral fluid shi
Sex-specific
Age-specific
Elderly phenotype
Low arousal threshold
Rostral fluid shi
Hyporesponsive genioglossus
Anatomical
(abnormal fat distribution)
phenotype
phenotype
OSA clinical
phenotypes
Sleepy
Non-specific
endotype
identified
Ethnic
phenotype
Symptom-based
phenotypes
Insomnia
Non-specific
endotype
identified
(abnormal craniofacial
morphology)
African-American
Anatomical
(obesity)
Caucasian
Anatomical
(both obesity and abnormal
craniofacial morphology)
Low arousal threshold
symptomatic
Non-specific
Figure 1. OSA clinical phenotypes and their corresponding predominant endotypes.
Minimally
endotype
identified
stable during sleep than in males. This is due to a number of mechanisms, including
sex hormones (protection is provided by female-specific hormones), a more ecient
active response of the upper airways during respiratory events, dierent body fat
distribution (more central in men, more peripheral in women) and lower instability
of respiratory drive aer arousals. Furthermore, the pharyngeal airway is longer in
males than in females. The android pattern of fat deposition around the abdomen
contributes to lung volume reduction in males and increases the upper airways’
susceptibility to collapse as a result of diminished longitudinal caudal traction on
the trachea.
Females are less likely to report snoring or witnessed apnoeas, but are more likely
to complain of daytime fatigue, lack of energy, morning headaches, insomnia and
mood disturbances. Female sex was also found to be an independent predictor of
restless leg syndrome, frequent awakenings and nocturia. Females oen present a
lower AHI, a lower proportion of supine AHI and a shorter respiratory event duration,
with predominance during REM sleep. The relatively higher REM AHI in women is
clinically significant given the growing evidence of an association between adverse
cardiovascular outcomes and REM-related OSA.
OSA has also been linked to a number of comorbidities in women, including asthma,
depression and thyroid disease, and it may increase the risk of diabetes and coronary
heart disease.
The dierences in OSA predisposing factors, PSG characteristics, symptom profile and
comorbidities for OSA between the sexes suggest that OSA in women appears to be a
distinct phenotype.
Importantly, sex dierences in OSA prevalence appear to be attenuated in the postmenopausal years. During menopausal transition, the respiratory drive decreases,
whereas so tissue collapsibility and arousals increase, predisposing to OSA.
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The elderly phenotype
Elderly OSA patients may have vague symptoms as a result of comorbidities and
lifestyle changes, whereas younger OSA patients are likely to present with behavioural
and cognitive disturbances. It is well known that the severity of EDS decreases with
age. Notably, with increasing age, the distribution of pathophysiological endotypes
may change, and the influence of a low arousal threshold may increase, whereas loop
gain decreases. Moreover, the pathogenesis of OSA in the elderly may even be more
strongly influenced by a rostral volume shi from the lower body extremities to the
upper airways. These findings support the speculation that OSA in the elderly is a
distinct physiological phenotype.
The ethnic phenotype
OSA phenotypes vary according to ethnicity. This can be partly explained by dierences in
adiposity, particularly upper body fat distribution, craniofacial anatomy and respiratory
arousal threshold. More specifically, Caucasians are usually more obese compared
to Asians who exhibit more craniofacial restriction. Furthermore, despite having
less severe anatomical compromise, Caucasians exhibit signs of a lower respiratory
threshold, which is not typically the case in Asian patients. Obesity and enlarged
upper airway so tissues, as well as exposure to unfavourable social and physical
environments, may also predispose African-Americans to OSA. Interestingly, symptom
profile, including sleepiness and snoring, seems to vary according to ethnicity, with
African-Americans more likely to report EDS than any other ethnic group.
Multiple-feature phenotypes
Although the above clinical phenotypes may serve as an intermediate step towards
personalised medicine in OSA, more complex phenotypes have been identified,
which combine anatomic characteristics, symptoms, polysomnographic indices and
comorbidities. This approach has been applied to numerous single and multinational
datasets, with identifiable phenotypes comprising of three or more distinct subtypes,
based on the dierent selections and combinations of variables included in the clustering
analysis. The most commonly used combination is comorbidities and symptoms.
As well as dierent clinical presentations, varying cardiovascular outcomes and levels
of treatment adherence have been noted. Generally, it should be kept in mind that
such dierences could not be found in the typical classification of OSA based on AHI
severity scores.
Clinical phenotypes may facilitate the early identification of OSA and lead to the
development of personalised therapies.
Consequences
Evidence supports a causal association between OSA and the development of
several adverse outcomes, which may lead to impaired quality of life and increased
mortality over time. However, these adverse eects extend beyond the margin of a
patient’s quality of life and may have an impact on family environment, professional
performance, healthcare costs and the community as a whole.
Neurobehavioural: sleepiness, cognitive and psychiatric
Recent studies have confirmed that OSA is associated with a deficit in multiple
cognitive domains, including vigilance and attention, visuospatial abilities, executive
function and some components of memory. Intermittent hypoxia, oxidative stress
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and alterations in sleep architecture that are associated with OSA may predispose to
small vessel disease, micro-infarction, stroke and changes in the brain’s white and
grey matter. EDS in an OSA patient can manifest as irritability or mood swings, which
can harm a couple’s relationship and influence their quality of life.
OSA is a well-recognised risk factor for work accidents, especially accidents that relate
to occupational driving. This association has significant implications for public safety,
as accidents involving patients with OSA are more likely to result in serious injuries.
It is important to note that both the severity of subjective sleepiness and the actual
objective OSA severity increase the likelihood of driving risk.
A prevalence of depressive and anxiety symptoms is also frequently seen in OSA
patients. Numerous studies have shown that patients in whom OSA coexists with
severe depression have the lowest quality of life and suer the most from EDS
and fatigue. Potential factors that underlie depressive symptoms in OSA are sleep
fragmentation and oxygen desaturation. Importantly, OSA may eventually lead to
treatment-resistant depression and therefore, clinicians should have a high clinical
suspicion in these patients for OSA.
CVD
Although the cardiovascular consequences of OSA were recognised early on, there
are still uncertainties and controversial findings in this field, particularly regarding the
eect of OSA treatment on cardiovascular outcome.
Systemic hypertension
There is consistent epidemiological evidence that OSA and systemic arterial
hypertension are strongly connected, with the prevalence of arterial hypertension in
OSA patients ranging 35–80%. Several potential mechanisms support this relationship,
including hypoxaemia, increased sympathetic/decreased parasympathetic tone,
nocturnal rostral fluid shi, impaired renin-angiotensin-aldosterone system (RAAS)
and poor sleep quality (figure 2). The nocturnal BP dip observed in healthy subjects is
oen absent in OSA patients, probably due to an increase in nocturnal sympathetic
activity, which can extend to the daytime. However, this pattern may be associated
with le ventricular systolic dysfunction and poor prognosis.
Sleep fragmentation
Sympathetic activity
Parasympathetic
activity
Angiotensin II release
Aldosterone production
Figure 2. Pathophysiological mechanisms of the cardiovascular eects of OSA.
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OSA
Arousals Intermittent hypoxia
Oxidative stress
Inflammation
Endothelial dysfunction
Prothrombotic state
Hypertension (systemic-pulmonary)
Atherosclerosis – myocardial ischaemia
Cardiac arrhythmias
Cerebrovascular disease stroke
Le ventricular hypertrophy and HF
Negative
intrathoracic pressure
Pulmonary
capillary fluid
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OSA has also been linked to a higher risk of developing resistant hypertension. Given
that patients with OSA and resistant hypertension represent a distinct high-risk
phenotype for experiencing a cardiovascular event, more aggressive screening for OSA
is recommended in these patients.
Not all studies confirm the causal role of OSA on hypertension development, aer
accounting for confounders, such as BMI. However, these results must be interpreted
with caution due to the heterogeneity of the populations studied and the dierent
diagnostic methods used for OSA diagnosis.
Many questions remain unanswered about the relationship between OSA and
hypertension, both from a pathophysiological perspective, and with regard to the
eect of OSA treatment on BP.
Coronary artery disease
OSA has been linked to development of atherosclerosis and coronary artery disease
(CAD). OSA is also considered a risk factor for a worse outcome in patients with
established CAD. The pathophysiological mechanisms involved include increased
sympathetic nervous system activity, oxidative stress, and poorly controlled or
resistant hypertension, endothelial dysfunction and promotion of a procoagulable
state. Subclinical markers of atherosclerosis such as coronary artery calcification and
increased concentrations of high-sensitivity troponin-I have also been associated
with increasing OSA severity, potentially contributing to low-grade myocardial injury.
Cardioprotective eects of OSA have also been shown, as recurrent nocturnal oxygen
desaturations might support the formation of coronary collaterals, which may help to
attenuate the myocardial damage in the context of myocardial infarction.
Randomised trials have failed to show a clear benefit of OSA treatment on
cardiovascular death, myocardial infarction, stroke or transient ischaemic attack.
Stroke
There is an association between OSA and cerebrovascular events during the night,
with a dose–eect relationship with OSA severity. Importantly, the Sleep Heart Health
Study demonstrated that the relationship of OSA with stroke was stronger than other
CVDs. The coexistence of OSA and stroke is associated with poorer recovery from
stroke, reduced quality of life, cognitive dysfunction and longer hospitalisation.
Arrhythmias
Patients with severe OSA have a two- to four-fold increased risk of arrhythmias.
AF, the most common cardiac arrhythmia, has been strongly associated with OSA,
independently of obesity and other confounding factors. Furthermore, OSA has been
correlated with the risk of AF recurrence aer cardioversion or ablation.
As well as AF, OSA has been associated with other arrhythmias, such as bradycardia,
atrioventricular block and asystole, premature ventricular contractions, ventricular
tachycardia or fibrillation, and sick sinus syndrome. Potential direct mechanisms
linking OSA and arrhythmias are changes in sympathetic and parasympathetic
tone, intermittent hypoxia, large shis in intrathoracic pressure that lead to atrial
stretch, systemic inflammation and oxidative stress, hypercapnia and an enhanced
prothrombotic state that may contribute to cardiac structural and electrical
remodelling. Indirect mechanisms include the development of CVDs, such as
hypertension and CAD, which alter the structure of the heart and form the underlying
substrate for arrhythmiogenesis.
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HF
OSA itself appears to contribute considerably to the development and progression
of HF, especially in men. Additionally, in both HF with reduced ejection fraction
and HF with preserved ejection fraction, OSA is more prevalent than in the general
population. Although OSA patients with HF usually report less subjective daytime
sleepiness, the excessively sleepy OSA phenotype was found to be associated with an
increased risk incident HF. OSA can, in many ways, promote the development of HF.
During apnoeas there is increased inspiratory eort against the high upper airway,
increasing the arousals and, along with intermittent hypoxia and sympathetic
activation, promoting oxidative stress. High negative intrathoracic pressure
during a respiratory event may increase pulmonary capillary fluid contributing in
interstitial oedema. Increased sympathetic activity increases angiotensin II release,
which promotes aldosterone production, further worsening hypertension and
HF (figure 2).
Pulmonary hypertension and thromboembolism
Pulmonary hypertension (PH) and OSA are closely associated, and OSA may contribute
to PH pathophysiology. PH is a concerning OSA complication that is thought to aect
∼20% of OSA patients. Potential factors that are implicated include: alveolar hypoxia,
leading to pulmonary vasoconstriction and endothelial remodelling; increased
inspiratory eort, leading to more negative intrathoracic pressure; increased le
heart filling pressures; and variations in cardiac output and heart rate. Patients with
coexistent OSA and PH tend to have a worse cardiovascular outcome.
There is growing evidence that OSA is also a risk factor for acute pulmonary embolism
(PE) and/or deep vein thrombosis (DVT). Data from pathophysiological studies suggest
that the OSA-induced pro-inflammatory state combined with intermittent hypoxia is
linked to blood hypercoagulability, venous stasis and endothelial dysfunction, leading
to DVT and PE.
Cancer
Studies in both animals and humans have found an association between OSA and
cancer. Hypoxia plays an important role in regulating various stages of tumour
formation and progression, and intermittent hypoxia seems to trigger transcriptional
responses in a dierent way to continuous hypoxia. According to epidemiological
studies, OSA may influence each type of cancer dierently, with the eects of age and
sex remaining controversial.
Type 2 diabetes and metabolic syndrome
OSA has been independently associated with an increased risk of insulin resistance as
well as type 2 diabetes and diabetes complications. The complex relationship between
OSA and type 2 diabetes may be mediated by the eect of intermittent hypoxia,
repeated arousals, altered sleep architecture, as well as with resulting increases in
sympathetic activation and activation of the hypothalamic-adrenal axis on insulin
resistance and β-cell function.
Growing evidence suggests that there is a significant association between OSA and
metabolic syndrome, independently of BMI. Nocturnal intermittent hypoxia, one of
the pathogenic mechanisms in OSA, has been found to play a potential role in this
association.
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Further reading
• Bailly S, et al. (2021). Clusters of sleep apnoea phenotypes: a large pan-European study from
the European Sleep Apnoea Database (ESADA). Respirology; 26: 378–387.
• Bassetti CLA, et al. (2020). EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on
risk and outcome of stroke. Eur Respir J; 55: 1901104.
• Bonsignore MR, et al. (2019). Sex dierences in obstructive sleep apnoea. Eur Respir Rev; 28:
190030.
• Eckert DJ (2018). Phenotypic approaches to obstructive sleep apnoea – new pathways for
targeted therapy. Sleep Med Rev; 37: 45–59.
• Gerves-Pinquie C, et al. (2022). Positive airway pressure adherence, mortality and
cardiovascular events in sleep apnea patients. Am J Respir Crit Care Med; 206: 1393–1404.
• Gottlieb DJ, et al. (2020). Diagnosis and management of obstructive sleep apnea: a review.
JAMA; 323: 1389–1400.
• Kapur VK, et al. (2017). Clinical practice guideline for diagnostic testing for adult obstructive
sleep apnea: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep
Med; 13: 479–504.
• Malhotra A, et al. (2020). Endotypes and phenotypes in obstructive sleep apnea. Curr Opin
Pulmonary Med; 26: 609–614.
• May AM, et al. (2017). OSA and cardiac arrhythmogenesis: mechanistic insights. Chest; 151:
225–241.
• Pengo MF, et al. (2020). Obstructive sleep apnoea treatment and blood pressure: which
phenotypes predict a response? A systematic review and meta-analysis. Eur Respir J; 55:
1901945.
• Pépin JL, et al. (2022). Relationship between CPAP termination and all-cause mortality:
a French nationwide database analysis. Chest; 161: 1657–1665.
• Randerath W, et al. (2018). Challenges and perspectives in obstructive sleep apnoea: report by
an ad hoc working group of the Sleep Disordered Breathing Group of the European Respiratory
Society and the European Sleep Research Society. Eur Respir J; 52: 1702616.
• Schiza S, et al. (2021). The search for realistic evidence on the outcomes of obstructive sleep
apnoea. Eur Respir J; 58: 2101963.
• Yeghiazarians Y, et al. (2021). Obstructive sleep apnea and cardiovascular disease: a scientific
statement from the American Heart Association. Circulation; 144: 56–67.
• Zinchuk A, et al. (2020). Phenotypic subtypes of OSA: a challenge and opportunity for precision
medicine. Chest; 157: 403–420.
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