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When to suspect OSAHS, OHS and COPD–OSAHS overlap syndrome

Obstructive sleep apnoea/hypopnoea syndrome and obesity hypoventilation syndrome in over 16s

Evidence review A

NICE Guideline, No. 202

.

London: National Institute for Health and Care Excellence (NICE); .
ISBN-13: 978-1-4731-4229-9

1. When to suspect

1.1. Review question: In whom should obstructive sleep apnoea/hypopnoea syndrome (OSAHS), obesity hypoventilation syndrome (OHS) or COPD-OSAHS overlap syndrome be suspected (for example, based on symptoms or coexisting conditions)?

1.2. Introduction

People with obstructive sleep apnoea experience frequent episodes of complete or partial upper airway obstruction which disrupt sleep and lead to a range of symptoms. Typically, these relate to sleepiness and upper airway side effects, such as choking. More recently it has been recognised that some people experience sleep disruption and insomnia rather than hypersomnolence. As the condition is common, primary care practitioners and pre-operative assessment teams should have awareness of symptoms, and that sleep disturbance may be a presenting feature. Obese people (BMI over 30 kg/m2) may develop OSAHS or hypoventilation during sleep. Obesity hypoventilation is defined as BMI over 30 kg/m2 and with PaCO2 greater than 6.0kPa during wakefulness plus sleep disordered breathing. COPD-OSAHS overlap syndrome in seen in people with COPD and OSAHS, so eliciting sleep related symptoms in a COPD patient is important.

1.3. PICO table

For full details see the review protocol in appendix A.

Table 1. PICO characteristics of review question.

Table 1

PICO characteristics of review question.

1.4. Clinical evidence

1.4.1. Included studies

OSAHS

A search was conducted for cohort studies investigating the association of the following factors: snoring, witnessed apnoea, unrefreshing sleep, somnolence during waking hours, nocturia, tiredness, insomnia, headaches, sleep fragmentation, ankle swelling, unexplained elevated Hb, cognitive dysfunction/memory impairment, co-existing conditions, treatment resistant hypertension, nocturnal non-dipping hypertension, treatment resistant arrhythmias, atrial fibrillation, type 2 diabetes, diabetic macular oedema, aortic aneurysms, chronic heart failure, cardiovascular events, stroke, Down’s syndrome, acromegaly and BMI over 30 kg/m2 with suspected OSAHS.

Seventeen studies were included in the review:15, 22, 45, 69, 74, 88, 104, 113, 114, 179, 182, 201, 216, 222, 224, 229, 250

Evidence from these studies is summarised in the clinical evidence summary below.

The included studies investigated the effects of following risk factors: non-arteritic anterior ischaemic optic neuropathy (NAION) (sudden loss of vision in one eye due to decreased blood flow to the optic nerve), polycystic ovary syndrome (PCOS), bipolar disorder, essential hypertension, end-stage renal disease (ESRD), acute cerebral infarction (ACI) and transient ischemic attack (TIA), asthma, severe aortic stenosis (AS), thoracic aortic aneurysm (TAA), obesity, asthma, type 2 diabetes, mild cognitive impairment (MCI), Down’s syndrome (DS), type 1 diabetes and primary headache disorders (PHD).

Some risk factors such as non-arteritic anterior ischaemic optic neuropathy (NAION), polycystic ovary syndrome (PCOS), bipolar disorder, end-stage renal disease (ESRD) were not specified in the protocol but were included as the committee considered these were risk factors to be associated with high risk for OSAHS.

No relevant clinical studies investigating the effects of snoring, witnessed apnoea, unrefreshing sleep, somnolence during waking hours, nocturia, tiredness, insomnia, sleep fragmentation, ankle swelling, unexplained elevated Hb, treatment resistant arrhythmias, atrial fibrillation, diabetic macular oedema, aortic aneurysms, chronic heart failure, acromegaly on risk of OSA were identified.

All studies were conducted in secondary care.

Only 3 studies matched controls for all key confounders (age, sex, BMI, co-morbidities) and the rest of the studies adjusted for 2 or 3 confounders.

Most studies reported incidence/prevalence of OSAHS as the outcome; however, a few studies reported AHI which was also considered as an association outcome.

Some studies reported results as adjusted odds ratio/hazards ratio for the outcomes, and these have been reported as in the studies. Some studies had matched controls but did not report adjusted measures of effect in such cases data has been analysed using prevalence/incidence data of OSAHS reported in the studies.

OHS

No studies were identified assessing the risk of OHS.

COPD-OSAHS overlap syndrome

No studies were identified assessing the risk of COPD-OSAHS overlap syndrome.

See also the study selection flow chart in Appendix C, study evidence tables in Appendix D, forest plots in Appendix E and GRADE tables in Appendix F.

1.4.1.1. Excluded studies

See the excluded studies list in Appendix D.

1.4.2. Summary of clinical studies included in the evidence review

StudyRisk factorPopulationOutcomesComments

Arda 201315

Turkey

Prospective cohort study

Non-arteritic anterior ischaemic optic neuropathy (NAION).

N= 20 patients with a newly diagnosed NAION were included in this study.

N= 20 age and sex matched subjects with similar risk factors for NAION, such as DM and HT, constituted the control group.

Diagnosis of sleep apnoea

The aim of this study was to show the prevalence of obstructive sleep apnoea (OSA) in non-arteritic anterior ischaemic optic neuropathy (NAION).

Controls matched for age and sex. Not matched for BMI and co-morbidities.

Duration of study- 4 years

Balachandran 201922

UK

Population-based retrospective cohort study

Polycystic ovary syndrome (PCOS).

N= 76 978 women with PCOS and N=143 077 matched control women without PCOS. Matched for age-, BMI- and location.

Inclusion criteria: All women who were aged 18–50 years at the index date (study entry) and had a documentation of PCOS at any time during the study period were included in the exposed group. Patients with any documentation of OSA prior to the index date were excluded. Women without documented PCOS at any time during the study period were included in the unexposed (control) arm. The index date was defined as the date of first documentation of PCOS for newly diagnosed cases and from the date patient became eligible if the first documentation of PCOS was prior to the eligibility date

Each exposed patient was randomly matched to two unexposed patients (1:2 ratio) for general practice, age at index date and BMI

Incidence of OSA

Objective was to assess the risk of OSA in women with vs without PCOS

Controls matched for age at index date and BMI

Duration of study- 7 years

Chang 201945

Taiwan

Prospective cohort study

Bipolar disorder

N=3650 patients with bipolar disorder and who had no history of OSA prior to enrolment

Only patients who were prescribed lithium, valproate, carbamazepine, lamotrigine, aripiprazole, olanzapine, quetiapine, risperidone, and ziprasidone for at least 28 cumulative days after the date of BD diagnosis were included in the BD cohort.

N=18250 without bipolar disorder matched by sex and age

Incidence of OSA

follow-up 7.49 years

Matched by age and sex

Participants enrolled between 2000 and 2010 and followed until end of 2013

Fletcher 198569

USA

Prospective cohort study

Essential hypertension

N=46 hypertensive men

N=34 normotensive men

Apnoea index

Hypopnoea index

Matched only for age and weight

Duration of study-NR

Gaisl 202074

Prospective cohort study

Switzerland

Patients with thoracic aortic aneurysm (TAA).

N=208 TAA

N=104 control

Patients with TAA were recruited from an ongoing cohort study. Matched controls were recruited form the outpatient clinic of the University Hospital Zurich between Jan and November 2018

82% male; age: 62 (11) years; BMI 27 (4) Kg/m2

Prevalence of OSA

Confounding variables: Age, sex, height, weight and left ventricular ejection fraction

Duration of study-NR

Hachul 201988

Prospective cohort study

Brazil

Women with polycystic ovary syndrome (PCOS).

N=30 PCOS

N=14 healthy control

A total of 55 subjects were selected to participate in the study. The volunteers, ranging in age from 16 to 45 years, were recruited from the Endocrinology Division of the Federal University of São Paulo, Brazil.11 individuals were excluded because of missing data (8 related to the PSQI and 3 to BMI).

High risk of OSA

Confounding variables: Age, BMI

Duration of study-NR

Huang 2018104end-stage renal disease (ESRD)

Dialysis patients.

90,353 patients with newly diagnosed ESRD from 1 January 2000 to 31 December 2011. After excluding patients who were under 20 years of age, and those who had an OSA history), kidney transplantation, or a follow-up period of less than 90 days, 88,801 ESRD patients were enrolled, including 78,814 HD and 9987 PD (including continuous ambulatory peritoneal dialysis and automated peritoneal dialysis) patients. Next haemodialysis (HD) with peritoneal dialysis (PD) patients were matched by age and sex in a 2:1 ratio and generated an ESRD cohort including a HD cohort consisting of 19,574 patients and a PD cohort with 9987 patients. 118,244 individuals were selected in the database who did not have a history of CKD or ESRD as the non-ESRD control cohort matched with the ESRD cohort by age, sex, and index-year in a 1:4 ratio.

Men: control 55,092 (46.6 %); total ESRD 13,773 (46.6%)

Mean age (SD): control- 54.0 (14.9); 54.1 (14.8)

Risk of OSA

Confounding variables: age, sex, and index-year.

Duration: Between 2010 and 2011

Joo 2011113

Korea

Prospective cohort study

acute cerebral infarction (ACI) and transient ischemic attack (TIA)

N=61 patients with acute cerebral infarction (ACI)

N=13 patients with transient ischemic attack (TIA);

N= 64 control

Consecutive patients (aged 45 to 80 years) admitted to the Department of Neurology at the Korea University Medical Center for an ACI or transient ischemic attacks (TIA), with 48 h of onset, were enrolled in the present study. Patients with any of the following were excluded: (1) a decreased level of consciousness on admission; (2) a seizure at stroke onset; (3) a baseline oxygen saturation of <95%; (4) chronic obstructive pulmonary disease; (5) a neuromuscular junction disorder (e.g., myasthenia gravis); or (6) a neurodegenerative disorder, such as, Parkinson’s disease, progressive supra nuclear palsy, or Alzheimer’s disease.

Age-matched patient’s spouses or family members with no history of physician diagnosed stroke were enrolled as controls

Prevalence of sleep disordered breathing

Controls matched for age- not matched for all sex, BMI and co-morbidities.

SDB at 48 h following ACI or TIA

Julien 2009114

Canada

Prospective cohort study

Asthma

N= 26 patients with severe asthma consecutively recruited to a difficult asthma program

N= 26 patients with moderate asthma,

N= 26 controls without asthma of similar age and body mass index.

Subjects with asthma were recruited from the Difficult Asthma Programme.2 Recruitment to the programme was solely on the basis of asthma history. Severe asthma was defined according to American Thoracic Society criteria1 and required at least 1 major criterion: daily oral steroids for >50% of the previous 12 months, or high-dose inhaled steroid: fluticasone 1000 mg/d or equivalent, and at least 1 other add-on therapy continuously for 12 months; and 2 minor criteria: daily short-acting b-agonist persistent FEV1 <70% and FEV1/forced vital capacity <80% predicted, urgent visits or steroid bursts in the last 12 months, prompt deterioration with <25% steroid dose reduction, or previous near-fatal asthma within 3 years.

Moderate asthma was defined as well controlled asthma symptoms (Juniper asthma control score13 <1), use of long acting b-agonist and fluticasone (or equivalent) 200 mg/d and 1000 mg/d, 2 steroid bursts in the past year and none within 3 months, total days on oral steroids <30 in the previous 12 months, FEV1 >70% predicted, and 1 unscheduled clinical visit in the previous 12 months.

Exclusion criteria for both groups included current smoking and other conditions which could lead to cardiorespiratory symptomatology. No sleep related information was obtained from subjects before recruitment into the Difficult Asthma Program or the current study. Consecutive patients enrolled in the program were approached to participate in this study. Of the patients approached during the recruitment period, 26 of 27 patients with severe asthma and 26 of 31 patients with moderate asthma consented to participate.

Control subjects were recruited through community advertisements, which referred to a clinical study on ‘‘breathing patterns and asthma.’’ Subjects were required to be generally healthy, to be non- smoking for at least 1 year, and to have no previous history of asthma, respiratory problems, or prescription of inhalers. No sleep-related information was used in the recruitment or screening process. Potential recruits meeting eligibility criteria were included based on age, body mass index (BMI), and sex to match the asthmatic groups.

Epworth sleepiness scores were obtained only after informed consent.

Prevalence of OSA

Control group matched for age, BMI and sex

Duration of study-NR

Prinz 2011179

Germany

Prospective cohort study

Severe aortic stenosis (AS).

N=67

Severe aortic stenosis (AS).

N=42 consecutive patients (19 male; mean age 72 years), who came for further evaluation of isolated severe aortic stenosis (aortic valve opening area #1.0 cm2); all patients with diabetes mellitus and concomitant pulmonary disease, particularly those with forced expiratory volume in 1s <50%, were excluded. Further exclusion criteria included a diagnosis of acute coronary syndrome or change of stable medication within the preceding 2 weeks.

All patients had standard preoperative diagnostics, including echocardiography and left and right heart catheterisation. Right heart catheterisation was carried out to assess mean pulmonary artery pressure (mPAP) and pulmonary capillary wedge pressure (PCWP).13 In-hospital unattended cardiorespiratory polygraphy was performed after informed consent had been obtained from each patient before participation.

Control group

N=25 patients

(14 male; 70 years), who had cardiac catheterisation based on a pathological stress test and individual risk stratification. Coronary artery disease was angiographically excluded in each of these patients.

The entire control group had preserved left ventricular ejection fraction (>55%) and no valve disease. The control group was matched for age, gender and body mass index (BMI).

Prevalence of sleep apnoea

Study objective to assess the occurrence, severity and clinical correlates of sleep apnoea in patients with AS.

Control group was matched for age, gender and body mass index (BMI). Not matched for co-morbidities.

Study period: 4 months

Subramanian 2019216

Retrospective cohort study

UK

Type 2 diabetes

N= 360,250 exposed cohorts

N=1,296,489 unexposed patient cohorts

Adult patients aged 16 years and above registered for at least 12 months with any of the eligible general practices prior to study entry formed the source population. The exposed cohort consisted of adult patients with type 2 diabetes. Type 2 diabetes diagnosis was ascertained by the presence of any type 2 diabetes clinical code in the patient’s medical record and the absence of any record of type 1 diabetes. The Read code list used to define exposure has previously been used to study type 2 diabetes.

Unexposed cohort

For every exposed patient, up to 4 controls were randomly selected from an age-, sex- and BMI-matched pool of eligible patients without a record of type 2 diabetes at any time point before or during the study period. Age and BMI were matched to within 1 year and 2 kg/m2 respectively.

Patients with a prevalent OSA diagnosis were excluded. The study cohort was derived from The Health Improvement Network (THIN), a UK primary care database, from 01/01/2005 to 31/12/2017.

Incidence of OSA

Objective to compare incidence of OSA in patients with and without type 2 diabetes and to investigate risk factors for OSA in patients with type 2 diabetes.

Follow-up period- 15 months.

Control group matched for age, sex and BMI.

Rice 2015182

USA

prospective cohort study

Obesity

N=573 lean women (BMI of less than 25 kg/m2)

N=459 obese women (BMI

total of 1032 pregnant women between the ages of 18 and 45 years (mean age = 28.6 years, standard deviation = 6.2 years) participated in the study.

This study was conducted among pregnant women attending prenatal care clinics at the Instituto Nacional Materno Perinatal (INMP) in the city of Lima, Peru between February 2013 and March 2014.

Eligible women were 18 years of age or older, could speak and read Spanish, and with a gestational age between 24 to 28 weeks.

Women were weighed in light clothing using the WHO standard guidelines.

High risk for OSA

Analysis adjusted for maternal age, education, marital status and parity.

Adjusted odds ratio reported.

Duration of study-2013-2014

Shen 2015201

Taiwan

retrospective cohort study

Asthma

N = 155347 without asthma

N = 38840 with asthma

Patients above 20 years, who had been diagnosed with asthma, as the asthma cohort. Exclusion criteria included those diagnosed before index date, and with incomplete gender or age information. The index date was defined as the date of asthma diagnosis. The comparison cohort was randomly selected from all NHI beneficiaries, no asthma, above 20 years, and were frequency-matched for gender, age (every five years), and Index year with a 1:4 ratio. The diagnosis of asthma was made based on a target history, and a comprehensive pulmonary function evaluation.

Incidence of OSA

Model adjusted for age, sex and comorbidities of hypertension, diabetes, hyperlipidaemia, COPD, CAD, stroke, rhinitis, chronic sinusitis, GERD and obesity.

The mean follow-up period was 6.95 years (SD = 3.33) for the asthma cohort, and 6.51 years (SD = 3.44) for the comparison cohort.

Terpening 2015222

Australia

Prospective cohort study

Mild cognitive impairment (MCI)

N=46 patients with MCI

N=40 age matched controls

Sleep disordered breathing

Control group matched for age

Duration of study-NR

Trois 2009224

USA

Retrospective cohort study

Down’s syndrome (DS)

N= 16 with Down’s syndrome (DS)

N= 48 without Down’s syndrome (DS).

16 adults with DS underwent evaluation for sleep disordered breathing. Interventions: Polysomnographic results were compared to a retrospective sample of adult patients referred for clinically suspected OSAS.

Diagnosis of sleep apnoea

Controls matched for age, sex and BMI

Duration of study-NR

Van dijk 2011229

The Netherlands

Retrospective cohort study

type 1 diabetes

N= 99 adult patients with type 1 diabetes (55 men, 44 women, duration of diabetes 26.9±1.2 years)

N= 99 age-, sex- and BMI-matched non-diabetic controls.

99 consecutive patients with type 1 diabetes mellitus (55 men, 44 women) attending the outpatient clinic of the Leiden University Medical Center, and 99 age-, sex- and BMI-matched non-diabetic controls recruited by advertisement. Every patient with type 1 diabetes was individually matched with one non-diabetic healthy control for age, sex and BMI

High risk OSA

Matched for age, sex and BMI.

Duration of study-NR

Yin 2019250

Taiwan

Retrospective cohort study

Primary headache disorders (PHD)

N=1346 Primary headache disorders (PHD) cohort

N=5384 Comparison cohort.

All patients in longitudinal health insurance database (LHID) who were diagnosed for PHDs for the first time from 2000 to 2005 were identified according to the International Classification of Headache Disorders, Second Edition criteria (N=1346). Patients diagnosed of PHDs before 2000 were excluded to increase the likelihood of identifying new cases. From the beginning of 2000 to the end of 2005 during which a patient was first diagnosed with PHDs was set as the index date. randomly selected 5384 subjects (a sample size fourfold that of the PHDs group) from LHID, frequency matched with the study cohort in terms of age, sex, index date and comorbidities (chronic obstructive pulmonary disease [COPD], hypertension, diabetes, hyperlipidaemia, stroke, obesity and depression). Each patient was then followed up from the index date until the occurrence of SA.

Incidence of OSA

Adjusted for confounding variables: age, sex, index date and comorbidities (chronic obstructive pulmonary disease [COPD], hypertension, diabetes, hyperlipidaemia, stroke, obesity and depression).

Duration of study-NR

1.4.3. Quality assessment of clinical studies included in the evidence review

Table 2. Clinical evidence summary: People with primary headache disorder vs control.

Table 2

Clinical evidence summary: People with primary headache disorder vs control.

Table 3. Clinical evidence summary: People with asthma vs control.

Table 3

Clinical evidence summary: People with asthma vs control.

Table 4. Clinical evidence summary: People with moderate asthma vs People without asthma.

Table 4

Clinical evidence summary: People with moderate asthma vs People without asthma.

Table 5. Clinical evidence summary: People with severe asthma vs People without asthma.

Table 5

Clinical evidence summary: People with severe asthma vs People without asthma.

Table 6. Clinical evidence summary: People with bipolar disorder vs control.

Table 6

Clinical evidence summary: People with bipolar disorder vs control.

Table 7. Clinical evidence summary: People with hypertension (essential hypertension) vs control.

Table 7

Clinical evidence summary: People with hypertension (essential hypertension) vs control.

Table 8. Clinical evidence summary: People with type I diabetes vs control.

Table 8

Clinical evidence summary: People with type I diabetes vs control.

Table 9. Clinical evidence summary: People with non-arteritic anterior ischaemic optic neuropathy (NAION) vs control.

Table 9

Clinical evidence summary: People with non-arteritic anterior ischaemic optic neuropathy (NAION) vs control.

Table 10. Clinical evidence summary: People with PCOS vs people without PCOS.

Table 10

Clinical evidence summary: People with PCOS vs people without PCOS.

Table 11. Clinical evidence summary: obese pregnant women vs lean pregnant women.

Table 11

Clinical evidence summary: obese pregnant women vs lean pregnant women.

Table 12. Clinical evidence summary: overweight pregnant women vs lean pregnant women.

Table 12

Clinical evidence summary: overweight pregnant women vs lean pregnant women.

Table 13. Clinical evidence summary: People with acute cerebral infarction vs control.

Table 13

Clinical evidence summary: People with acute cerebral infarction vs control.

Table 14. Clinical evidence summary: People with transient ischaemic attack vs control.

Table 14

Clinical evidence summary: People with transient ischaemic attack vs control.

Table 15. Clinical evidence summary: People with mild cognitive impairment vs control.

Table 15

Clinical evidence summary: People with mild cognitive impairment vs control.

Table 16. Clinical evidence summary: People with severe aortic stenosis vs control.

Table 16

Clinical evidence summary: People with severe aortic stenosis vs control.

Table 17. Clinical evidence summary: People with Down’s syndrome vs control.

Table 17

Clinical evidence summary: People with Down’s syndrome vs control.

Table 18. Clinical evidence summary: People with type 2 diabetes vs without type 2 diabetes.

Table 18

Clinical evidence summary: People with type 2 diabetes vs without type 2 diabetes.

Table 19. Clinical evidence summary: People with end stage renal disease (ESRD) haemodialysis and peritoneal dialysis vs control.

Table 19

Clinical evidence summary: People with end stage renal disease (ESRD) haemodialysis and peritoneal dialysis vs control.

Table 20. Clinical evidence summary: People with thoracic aortic aneurysm vs matched control.

Table 20

Clinical evidence summary: People with thoracic aortic aneurysm vs matched control.

See Appendix F for full GRADE tables.

1.5. Economic evidence

1.5.1. Included studies

No health economic studies were included.

1.5.2. Excluded studies

No relevant health economic studies were excluded due to assessment of limited applicability or methodological limitations.

See also the health economic study selection flow chart in Appendix G.

1.5.3. Health economic modelling

Original modelling was not conducted for this question.

1.5.4. Health economic evidence statements

No relevant economic evaluations were identified.

1.6. The committee’s discussion of the evidence

1.6.1. Interpreting the evidence

1.6.1.1. The outcomes that matter most

The committee considered assessment of presence or absence of OSAHS, OHS or COPD OSAHS overlap syndrome for decision making.

Most studies reported incidence/prevalence of sleep apnoea as the outcome; however, a few studies reported AHI which was also considered as a direct association for OSAHS.

OSAHS

There was evidence from eighteen cohort studies investigating the effects of following risk factors in people with OSAHS: essential hypertension, acute cerebral infraction, transient ischaemic attack (TIA), thoracic aortic aneurysm, non-arteritic anterior ischaemic optic neuropathy (NAION), obesity, type 2 diabetes, type 1 diabetes, end stage renal disease (ESRD), polycystic ovary syndrome (PCOS), moderate and severe asthma, overweight and obese pregnant women, Down’s syndrome, bipolar disorder, primary headache disorders. The majority of the studies were small, however, a few studies (those assessing the risk of Polycystic ovary syndrome (PCOS), Type 2 diabetes and asthma) were very large with more than 100,000 participants.

Some risk factors such as NAION, PCOS, bipolar disorder, ESRD were not specified in the protocol but were included as the committee considered these conditions to be associated with high risk for OSAHS.

No relevant clinical studies investigating the effects of snoring, witnessed apnoea, unrefreshing sleep, somnolence during waking hours, nocturia, tiredness, insomnia, sleep fragmentation, ankle swelling, unexplained elevated haemoglobin (Hb)/ unexplained polycythaemia, treatment resistant arrhythmias, atrial fibrillation, diabetic macular oedema, aortic aneurysms, chronic heart failure, acromegaly on risk of OSAHS were identified.

The quality of the evidence varied from low to very low quality; majority of the evidence was downgraded due to risk of bias, and imprecision. Some of the outcomes were at high risk of bias as some studies did not adjust for all of the confounding factors identified by the committee. Only 3 studies matched controls for all key confounders (age, sex, BMI, co-morbidities) and the rest of the studies adjusted for 2 or 3 key confounders. The committee also acknowledged that some uncertainty existed across the effect sizes seen within the evidence, with some confidence intervals crossing the MID thresholds or line of no effect. The committee took into account the low quality including the uncertainty in their interpretation of the evidence.

OHS

There was no evidence assessing the risk of OHS.

COPD -OSAHS overlap syndrome

There was no evidence assessing the risk of COPD-OSAHS overlap syndrome.

The committee acknowledged the limited quality and number of studies included in this review.

1.6.1.2. Benefits and harms
OSAHS

The evidence suggested that there was higher risk of OSAHS compared to control in people with primary headache disorders, asthma, essential hypertension, type I diabetes, non-arteritic anterior ischaemic optic neuropathy (NAION), polycystic ovary syndrome (PCOS), obesity in pregnancy, acute cerebral infarction, transient ischaemic attack (TIA), Down’s syndrome, type 2 diabetes, end stage renal disease (ESRD) haemodialysis and peritoneal dialysis and thoracic aortic aneurysm. The evidence suggested that there was no increased risk for OSAHS with mild cognitive impairment and bipolar disorder when compared to controls.

The evidence suggested that there was lower risk of OSAHS in people with severe aortic stenosis. The evidence was from small low-quality studies hence the committee were uncertain about association of aortic stenosis with OSAHS.

The committee considered the clinical importance of the effect estimate for each analysis on a case by case basis, taking into consideration the increment of the risk factor and the outcome under study. Due to the low quality of the evidence, small number of studies and small population in some studies, the committee also took their clinical experiences into account when making their recommendations. The committee discussed that not all risk factors in the review were strongly associated with OSAHS. Based on the available evidence and the committee’s experience they made recommendations only for those risk factors which they considered to be associated with a high risk of OSAHS.

The committee agreed that after taking a sleep history, further assessment for OSAHS should be carried out in people presenting with classical symptoms and features of OSAHS, such as unexplained excessive sleepiness, snoring, apnoea’s observed during sleep and choking during sleep, but that a broader range of symptoms should also be recognised, such as sleep fragmentation, insomnia, and fatigue in people without excessive sleepiness. They agreed that a single symptom alone such as snoring is not sufficient for further investigation and that 2 or more of the above listed symptoms or features should be identified to warrant assessment.

The committee from their experience agreed that risk of OSAHS is increased in obesity and overweight individuals, it also causes problems in pregnancy too and prevalence increases across trimesters.

The committee from their experience discussed that there was high prevalence of OSAHS in people with acromegaly due to upper airway soft tissue and skeletal changes. The committee from their experience stated that there was a high prevalence of OSAHS in people with hypothyroidism as this can cause reduced upper airway muscle tone, blunted chemosensitivity, and upper airway obstruction related to thyroid enlargement, mucopolysaccharide deposition, and weight gain.

In people with Down’s syndrome, macroglossia and mid facial hypoplasia, plus alterations in ventilatory drive, may contribute to OSAHS.

The committee from their experience noted that there was a strong association between treatment resistant hypertension and OSAHS and highlighted the need to identify these patients for further assessment on a case by case basis.

The committee from their experience stated that there was a higher risk of OSAHS in people with stroke and hence agreed that early diagnosis and management of OSAHS in such people may facilitate recovery and reduce long-term sequelae of untreated OSAHS.

The committee from the evidence and their experience stated that people with type 2 diabetes, cardiac arrhythmia (particularly atrial fibrillation), chronic heart failure, moderate or severe asthma, polycystic ovary syndrome (PCOS),obese/overweight, obese/overweight pregnant women, Down’s syndrome and non-arteritic anterior ischaemic optic neuropathy (NAION) were at a higher risk of OSAHS and agreed that further assessment should be done on a case-by-case basis in such patients, as effective treatment of OSAHS may influence the outcome of these conditions. The committee also observed there seemed to be an association between atrial fibrillation and OSAHS in epidemiological and clinical cohorts, and a higher risk of recurrence of the arrhythmia in patients with untreated OSAHS patients.

The committee agreed that these recommendations aim to raise awareness of symptoms and associated conditions that should raise suspicion of OSAHS, as well as prompting assessment. The committee discussed that in current practice not all people with the listed symptoms and conditions are considered for further assessment for OSAHS, hence implementation of these recommendations could increase the number of people being assessed and referred to sleep centres.

The committee noted that initial assessment is made with questionnaires (see Evidence report B for questionnaires) and this is generally carried out in primary care. However, assessment is important in secondary and tertiary care where patients with conditions outlined are managed and in people being assessed by anaesthetic and surgical teams for surgery. The committee also cautioned that existing questionnaires focus on sleepiness, whereas some patients present with insomnia, fatigue or sleep fragmentation alone, hence clinicians need to have an awareness that these symptoms could be caused by sleep disordered breathing and thus refer to sleep centre for assessment.

OHS

There was no evidence on assessing risk factors for OHS. The committee took their clinical experiences into account when making their recommendations.

The committee agreed that further assessment for OHS should be carried out in people with obesity together with symptoms of OSAHS or features of nocturnal hypoventilation.

They agreed that in people with obesity (BMI of 30 kg/m2 or more) and symptoms of OSAHS (snoring, witnessed apnoea, unrefreshing sleep, waking headaches, excessive sleepiness/tiredness/fatigue, nocturia, sleep fragmentation/insomnia, cognitive dysfunction/memory impairment), or features of nocturnal hypoventilation such as waking headaches, excessive sleepiness during waking hours poor quality sleep, peripheral oedema, low oxygen saturation < 94% on air and unexplained polycythemia, are at high risk of OHS and should be assessed appropriately. These criteria were chosen because some people with OHS have OSAHS, some have hypoventilation alone, and others have combination of both. A low arterial oxygen saturation value or polycythaemia may be indicative of OHS but raised PaCO2 is needed for diagnosis (for more information see Evidence report D for diagnostic tests).

The committee discussed that in current practice not all people with the listed symptoms and features are considered for further assessment for OHS, hence implementation of these recommendations may change practice for the majority of providers leading to more testing and treatment. This will be magnified by the rising prevalence of obesity in the general population.

COPD-OSAHS overlap syndrome

There was no evidence on assessing risk factors for COPD-OSAHS overlap syndrome. The committee took their clinical experiences into account when making their recommendations.

COPD-OSAHS overlap syndrome describes the combination of COPD and OSAHS. These are two of the most prevalent pulmonary conditions and therefore the combination is likely to be common. Hypoxaemia due to COPD is exacerbated during sleep by OSAHS, which may worsen prognosis and symptom burden. Some people with COPD-OSAHS overlap syndrome may develop ventilatory failure. The committee agreed that symptoms of OSAHS, often alongside features of hypoventilation, in people with COPD should alert healthcare professionals to investigate for COPD-OSAHS overlap syndrome. The type of symptoms, nature of sleep disordered breathing and outcome will be affected by the relative severity of COPD and OSAHS.

The committee noted that people with symptoms of OSAHS (snoring, witnessed apnoea, unrefreshing sleep, waking headaches, excessive sleepiness, impairment), diagnosis of COPD and features of hypoventilation such as waking headaches, peripheral oedema, hypoxemia (low oxygen saturation < 94% on air) and unexplained polycythaemia have a high probability of COPD-OSAHS overlap syndrome and should be assessed appropriately. They noted that sleep fragmentation and/or insomnia is common in COPD patients related to breathlessness, cough, medication such as theophyllines and oral steroid therapy, and restless legs, and may worsen at times of an exacerbation, so a careful sleep history is required. Some symptoms of COPD-OSAHS overlap syndrome may be related to COPD itself rather than OSAHS, such as sleep disturbance and unrefreshing sleep due to breathlessness.

Sleepiness in COPD-OSAHS overlap syndrome may not be a feature in some patients, or conversely sleepiness may be caused by non-OSAHS factors such as cough, breathlessness, medication such as theophyllines and restless legs.

It is estimated that COPD-OSAHS overlap syndrome has a prevalence of approximately 1% and is currently under recognised. The committee discussed that in current practice not all people with the listed symptoms for OSAHS and features in the recommendation are considered for further assessment for COPD-OSAHS overlap syndrome, hence implementation of these recommendations may change practice for the majority of providers. The condition reflects an increased understanding of the impact of common comorbidities in the population, and a growth in referrals for sleep study is anticipated. As a result of increased diagnosis, CPAP and NIV use may increase. Treatment in turn may reduce acute admissions and decrease long-term complications.

1.6.2. Cost effectiveness and resource use

There were no economic evaluations identified for this review question.

Based on their clinical experience and interpretation of the clinical evidence, the committee provided a list of conditions where there is potential for increased risk of OSAHS. In these cases, the committee explained that clinicians should ask relevant questions to enquire whether the person has relevant symptoms. Two or more of the symptoms would indicate a need for further assessment. The committee noted that in current practice not all people with the listed symptoms and conditions are currently considered for further assessment for OSAHS, hence implementation of these recommendations should lead to more people being diagnosed and treated. Although there is no evidence of cost effectiveness for assessment of people with individual signs and symptoms, there is plenty of evidence that treatment of mild, moderate and severe OSAHS is cost effective.

In the case of OHS and COPD-OSAHS overlap syndrome, the committee used a similar framework and identified a list of symptoms that would indicate the need for further assessment such as spirometry or blood gases. The committee discussed that in current practice not all people are being systematically considered for assessment of OHS or COPD-OSAHS overlap syndrome, hence implementation of these recommendations should lead to more people being diagnosed and treated. Although there is no evidence of cost effectiveness, there can be no treatment benefits for patients if they are not identified in the first place.

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Appendices

Appendix B. Literature search strategies

Sleep apnoea search strategy 13 – when to suspect

This literature search strategy was used for the following review:

  • In whom should obstructive sleep apnoea/hypopnoea syndrome, obesity hypoventilation syndrome or COPD-OSAHS overlap syndrome be suspected (for example, based on symptoms or coexisting conditions)?

The literature searches for this review are detailed below and complied with the methodology outlined in Developing NICE guidelines: the manual.166

For more information, please see the Methods Report published as part of the accompanying documents for this guideline.

B.1. Clinical search literature search strategy (PDF, 348K)

B.2. Health Economics literature search strategy (PDF, 354K)

Appendix D. Clinical evidence tables

Download PDF (496K)

Appendix G. Health economic evidence selection

Figure 16. Flow chart of health economic study selection for the guideline (PDF, 237K)

Appendix H. Excluded studies

H.1. Excluded clinical studies

Download PDF (317K)

H.2. Excluded health economic studies

Published health economic studies that met the inclusion criteria (relevant population, comparators, economic study design, published 2003 or later and not from non-OECD country or USA) but that were excluded following appraisal of applicability and methodological quality are listed below.

None.

Final

Diagnostic association/prediction evidence review

Developed by the National Guideline Centre, hosted by the Royal College of Physicians

Disclaimer: The recommendations in this guideline represent the view of NICE, arrived at after careful consideration of the evidence available. When exercising their judgement, professionals are expected to take this guideline fully into account, alongside the individual needs, preferences and values of their patients or service users. The recommendations in this guideline are not mandatory and the guideline does not override the responsibility of healthcare professionals to make decisions appropriate to the circumstances of the individual patient, in consultation with the patient and, where appropriate, their carer or guardian.

Local commissioners and providers have a responsibility to enable the guideline to be applied when individual health professionals and their patients or service users wish to use it. They should do so in the context of local and national priorities for funding and developing services, and in light of their duties to have due regard to the need to eliminate unlawful discrimination, to advance equality of opportunity and to reduce health inequalities. Nothing in this guideline should be interpreted in a way that would be inconsistent with compliance with those duties.

NICE guidelines cover health and care in England. Decisions on how they apply in other UK countries are made by ministers in the Welsh Government, Scottish Government, and Northern Ireland Executive. All NICE guidance is subject to regular review and may be updated or withdrawn.

Copyright © NICE 2021.
Bookshelf ID: NBK574315PMID: 34613671

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