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Obstructive sleep apnoea in women with idiopathic intracranial hypertension: a sub-study of the idiopathic intracranial hypertension weight randomised controlled trial (IIH: WT)



Obesity is a risk factor for idiopathic intracranial hypertension (IIH) and obstructive sleep apnoea (OSA). We aimed to determine the prevalence of OSA in IIH and evaluate the diagnostic performance of OSA screening tools in IIH. Additionally, we evaluated the relationship between weight loss, OSA and IIH over 12 months.


A sub-study of a multi-centre, randomised controlled parallel group trial comparing the impact of bariatric surgery vs. community weight management intervention (CWI) on IIH-related outcomes over 12 months (IIH:WT). OSA was assessed using home-based polygraphy (ApneaLink Air, ResMed) at baseline and 12 months. OSA was defined as an apnoea–hypopnoea index (AHI) ≥ 15 or ≥ 5 with excessive daytime sleepiness (Epworth Sleepiness Scale ≥11 ).


Of the 66 women in the IIH: WT trial, 46 were included in the OSA sub-study. OSA prevalence was 47% (n = 19). The STOP-BANG had the highest sensitivity (84%) compared to the Epworth Sleepiness Scale (69%) and Berlin (68%) to detect OSA. Bariatric surgery resulted in greater reductions in AHI vs. CWI (median [95%CI] AHI reduction of  – 2.8 [ – 11.9, 0.7], p = 0.017). Over 12 months there was a positive association between changes in papilloedema and AHI (r = 0.543, p = 0.045), despite adjustment for changes in the body mass index (R2 = 0.522, p = 0.017).


OSA is common in IIH and the STOP-BANG questionnaire was the most sensitive screening tool. Bariatric surgery improved OSA in patients with IIH. The improvement in AHI was associated with improvement in papilloedema independent of weight loss. Whether OSA treatment has beneficial impact on papilloedema warrants further evaluation.

Trial registration number

IIH: WT is registered as ISRCTN40152829 and on as NCT02124486 (28/04/2014).


Idiopathic intracranial hypertension (IIH) is characterised by raised intracranial pressure (ICP) in the absence of an identifiable cause and typically occurs in young women with obesity [1,2,3,4]. The incidence of IIH is rising with the increasing prevalence of global obesity [5, 6]. Papilloedema, swelling of the optic nerve, is a diagnostic feature of the condition and can lead to visual loss [7]. Reported symptoms in IIH include headache, transient visual obscurations, pulsatile tinnitus, cognitive disturbances, back and neck pain, and diplopia [1, 8,9,10]. IIH is further associated with worsening quality of life and increased cardiovascular risk [5, 11].

Co-morbid obstructive sleep apnoea (OSA) has been documented in IIH in cross-sectional studies [12,13,14,15]. OSA is characterised by recurrent episodes of complete (apnoea) or partial (hypopnoea) upper airways obstructions resulting in recurrent oxygen desaturation, cyclical changes in heart rate, blood pressure, sympathetic activity and recurrent arousals [16]. Obesity is a risk factor for both OSA and IIH and weight loss can modify both conditions [17,18,19]. The diagnosis of OSA is important as it is associated with poor quality of life as well as increased morbidity from Type 2 diabetes, cardiovascular disease, hypertension and increased mortality [20]. However, the impact of OSA on IIH clinical course is not clear.

The objectives of this study were as follows: Firstly to determine the prevalence of OSA in a large accurately characterized cohort of active IIH; Secondly to determine the most sensitive screening tool for OSA in IIH; Thirdly to examine effect of weight change on OSA and the impact on IIH clinical outcomes.


A sub-study of the IIH: WT trial which was a multi-centre randomised controlled trial comparing the efficacy of bariatric surgery with a community weight management intervention (CWI) in active IIH in the United Kingdom (March 1, 2014 to May 25, 2017) [19, 21].


Women (18–55 years old) with active IIH (lumbar puncture opening pressure (LP OP) ≥ 25 cmCSF) diagnosed by the updated modified Dandy criteria with papilloedema [22] and body mass index (BMI) ≥ 35 kg/m2 were recruited. Full eligibility criteria and the trial protocol has been previously published [19, 21]. Recruitment bias was avoided by informing and offering recruitment to the sub-study and offering OSA screening to all the IIH: WT participants.


Participants were evaluated at baseline and 12 months. Patient demographics were recorded. Baseline anthropometric measures were performed with body composition scales (Tanita Europe BV, Amsterdam, Netherlands). A headache diary was completed by the participants prior to each visit to quantify the monthly headache days (MHD). Participants underwent optical coherence tomography (OCT) imaging (SPECTRALIS, Heidelberg Engineering, Germany) to evaluate the optic nerve head central thickness (an objective measure of papilloedema) and macular volume ganglion cell layer thickness (a marker of optic nerve axonal loss) [23]. Visual field testing was performed using automated perimetry (Swedish Interactive Threshold Algorithm standard 24–2 strategy, Humphrey Visual Field Analyzer; Carl Zeiss Meditec, Dublin, CA) [23]. Fundus photography (Topcon (Great Britain) Medical Limited, Newbury, United Kingdom) with subsequent papilloedema grading (Frisén grade 0–5) [24] was performed by three blinded neuro-ophthalmology reviewers. ICP was assessed by ultrasound-guided lumbar puncture (LP), with the participant in the left lateral decubitus position, on the same day, after automated perimetry and OCT scanning.

OSA assessment

At baseline, study participants underwent screening for OSA using the Berlin Questionnaire, [25] Epworth Sleepiness Scale (ESS) [26] and the STOP-BANG questionnaire [27]. All participants were assessed for sleep apnoea at baseline and 12 months using home-based polygraphy which recorded nasal flow, snore, respiratory effort, heart rate, and oxygen saturation (ApneaLink Air, ResMed Corp, CA, USA). The OSA assessments included 2 nights of recordings, the recording which provided the most complete data (≥ 4 h of recording) out of the two nights was used for this analysis. The data were scored by a sleep technician blinded to the participant’s treatment arm and quality controlled by a sleep physician. The sleep studies were scored in accordance with the 2017 updates of the American Academy of Sleep Medicine (AASM) guidelines, [28] which were current at the time of the study ( Accessed May 2017). Hypopnoeas were defined as a ≥ 3% fall in oxygen saturation from pre-event baseline concomitantly with a ≥ 30% drop in nasal/oral air flow for at least 10 s. Apnoeas were defined as a ≥ 90% drop in nasal/oral airflow for at least 10 s. Central apnoeas were scored in the presence of a ≥ 90% reduction of nasal/oral air flow and cessation of respiratory effort derived from thoracic belt for at least 10 s.

OSA was defined according to the American Academy of Sleep Medicine criteria as an AHI ≥ 15 or AHI ≥ 5 with excessive daytime sleepiness (EDS) defined as ESS ≥ 11 [29]. OSA severity was classified as mild (AHI ≥ 5 and < 15 events/hour), moderate (AHI ≥ 15 and < 30 events/hour) and severe (AHI ≥ 30 events/hour) [29].

Weight loss interventions

Participants were randomised to either a bariatric surgery pathway or a community weight management intervention (CWI) at baseline (1:1). Randomisation was conducted by a computer-generated randomisation list with allocation to trial arm. The choice of surgical type (laparoscopic adjustable gastric banding, Roux-en-Y gastric bypass or laparoscopic sleeve gastrectomy) in the bariatric surgery pathway arm was made between the surgeon and the participant based on the participant’s health and preference. Participants randomised to the CWI programme were provided with vouchers that exempt them from paying for 52 consecutive and specified weeks of their local WeightWatchers™ group and allowed access to the WeightWatchers™ online and mobile tools for 12 months.

Statistical analysis

This was a pre-planned, exploratory sub-study of the IIH: WT trial and we report the primary analysis of the data [19, 21]. The sub-study was not powered to observe differences in OSA outcomes after the weight loss intervention. As our data was non-parametric, median and interquartile range (IQR) were used. Wilcoxon signed-rank test was used to compare clinical characteristics of IIH patients between baseline and 12 months. For continuous variables, Mann–Whitney U test was used to compare differences between each study arm (CWI and bariatric surgery) at 12 months. Fisher’s exact test and Kendall’s tau-b were used to compare categorical and ordinal data, respectively. Spearman correlations and multiple regression were used to examine associations and data were log transformed where appropriate. Additional linear regression statistical assumptions were checked and adhered to. Missing data was excluded from analysis in this sub-study as imputation was judged as likely to lead to bias in this exploratory data set.

A two-tailed p-value of < 0.05 was considered statistically significant. Statistical analysis was performed using the SPSS statistics 26 package (SPSS Inc., Chicago, IL, USA).

Standard protocol approvals, registrations, and patient consents

Participants provided written informed consent to participate in the study. The National Research Ethics Committee West Midlands –The Black Country approved IIH: WT (14/WM/0011). The trial protocol, to which these patients were recruited to, has been previously published [21]. The study was conducted according to the Declaration of Helsinki.


Baseline characteristics

Of the 66 participants in the IIH: WT, 46 women with active IIH consented to be part of the OSA sub-study. Six IIH patients were excluded from the analysis as their sleep studies were not of adequate quality, hence 40 patients with IIH were included (Fig. 1). The study population consisted of young women with active IIH (Table 1). At baseline, the median (IQR) ICP as measured by LP OP was 34.5 cmCSF (29.3, 39.0). Visual function, papilloedema and headache characteristics are detailed in Table 1.

Fig. 1
figure 1

Study flow diagram. IIH idiopathic intracranial hypertension, WT Weight trial, OSA Obstructive sleep apnoea

Table 1 Baseline results. Clinical characteristics and sleep study results for IIH patients

OSA prevalence in IIH

The AHI, median (IQR) was 7.6 (4.3, 16.0) (Table 1) and AHI ≥ 5 was noted in 25 (63%) IIH patients. 13 (33%), 8 (20%) and 4 (10%) had AHI 5 to < 15; 15 to < 30 and ≥ 30, respectively (Fig. 2A). OSA diagnosis (AHI ≥ 15 or AHI ≥ 5 with EDS, AASM criteria [29]) was made in 19 (47%) of the IIH patients.

Fig. 2
figure 2

Obstructive sleep apnoea parameters. A. Presence and severity of obstructive sleep apnoea (OSA) based on the apnoea–hypopnoea index in IIH patients. B. Apnoea-hypopnoea index in patients with IIH at baseline comparing the two arms of community weight management intervention (CWI) and bariatric surgery. Level of the bars represents median and error bars interquartile range. Wilcoxon signed ranks test to assess differences between baseline and 12 months in the two groups. Mann–Whitney test to assess differences between arms at 12 months. C, D. Linear regression analysis showing the percentage change (Δ) of apnoea–hypopnoea index against percentage change (Δ) in intracranial pressure and OCT optic nerve head central thickness at 12 months after baseline in IIH patients. Spearman’s rank order used to assess correlations. *Denotes statistical significance p < 0.05, difference between apnoea–hypopnoea index of the bariatric surgery group at 12 months compared to baseline. IIH idiopathic intracranial hypertension, ICP intracranial pressure, OCT optical coherence tomography, AHI apnoea–hypopnoea index

Use of screening questionnaires in IIH

High risk of OSA was identified in 30 (75%) patients using the Berlin questionnaire; 29 (73%) patients using the STOP-BANG questionnaire and 16 (46%) patients using the ESS (n = 35) (Table 2). The STOP-BANG questionnaire had the highest sensitivity (84%) to diagnose OSA (AASM criteria) compared to the Berlin 68% and ESS 69% (Table 2). All questionnaires had poor specificity (STOP-BANG 38%, Berlin 19%, ESS 74%). ESS is a component of the AASM criteria to diagnose OSA which includes the presence of excessive daytime sleepiness, therefore a sensitivity analysis for the ESS was conducted using the criterion of an AHI ≥ 15 alone for diagnosis. This revealed a sensitivity 50% and specificity 56% for the ESS.

Table 2 Screening tools and test characteristics in IIH patients

Weight loss intervention

We have previously published results showing significantly reduced weight and ICP amongst the bariatric cohort compared to the CWI cohort at 12 months [19]. In this sub-study we observed analogous results with significantly greater reduction in weight, ICP and papilloedema in the bariatric surgery cohort (Table 3). The AHI significantly improved after 12 months in the bariatric surgery cohort with a median [95% CI] reduction from baseline of  – 2.8 [ – 11.9, 0.7], p = 0.017 but not in the CWI cohort (-1.5 [-10.4, 2.2], p = 0.213 (Table 4; Fig. 2B). The difference between the two cohorts at 12 months was not significant, 1.7 [ – 5.7, 7.4], p = 0.657, but the study was underpowered for this analysis. We noted a significant correlation at baseline between the AHI and BMI (r = 0.360, p = 0.022).

Table 3 Outcomes in IIH patients
Table 4 Sleep study outcomes

The prevalence of OSA (AASM criteria) at 12 months (compared to baseline) was 1% lower in the CWI group and 28% lower in the bariatric surgery group (Table 4). There was a significant reduction in the severity of OSA at 12 months (p = 0.001) with moderate OSA improving in more patients who had undergone bariatric surgery compared to the CWI (Table 4). No other additional OSA interventions were received by participants for OSA between the baseline and the 12-month clinical trial sleep studies.

Associations of OSA on clinical outcomes in IIH

The relationship between the AHI and ICP was explored. We noted that between baseline and 12 months, improvement in the AHI correlated significantly with falling ICP (percentage change over time; r = 0.537, p = 0.018) (Fig. 2C), which became non-significant following adjusting for BMI change in the multivariable analysis (R2 0.086, p = 0.348). At baseline the AHI was not significantly associated with ICP. There were no significant associations with AHI and monthly headache days in our cohort.

We found a correlation between the improving AHI and reduction in papilloedema as measured by OCT (percentage change in optic nerve head central thickness, r = 0.543, p = 0.045) (Fig. 2D). This relationship was independent of ICP when assessed in a multivariate regression model. To explore the impact of weight on the relationship of AHI and papilloedema, a multivariate regression adjusting for BMI change was also conducted. A significant association remained between AHI and papilloedema (R2 0.522, p = 0.017) despite adjusting for BMI. Additionally, papilloedema was significantly associated with the oxygen desaturation index (ODI) (after adjusting for BMI (R2 = 0.504, p = 0.021)).

IIH with confirmed OSA

A descriptive observational analysis (without inference regarding statistical significance) of those with confirmed of OSA and those without was conducted. At baseline there was no significant difference between these groups in weight, ICP, papilloedema (optic nerve head volume central thickness), macular volume ganglion cell layer (a marker of optic nerve axonal loss) or visual field perimetric mean deviation (Table 5). However, amongst the patients with confirmed OSA at baseline, we observed poorer outcomes at 12 months based on the following parameters: median [95% CI] ICP, LP OP ( – 4.8 cmCSF [ – 12.3, 1.4] compared to -6.5 cmCSF [ – 13.7, 0.1]); optic nerve head volume central thickness ( – 20 µ [ – 104.4, 59.5] compared to  – 74 µ [ – 346, 39.2]); macular volume ganglion cell layer ( – 0.01 mm3 [ – 0.02, 0.02] compared to 0 mm3 [ – 0.04, 0.02]); visual field perimetric mean deviation ( – 0.3 dB [ – 2.2, 1.4] compared to 1 dB [ – 1, 2.7]) (Fig. 3A–D).

Table 5 Baseline characteristics according to OSA status
Fig. 3
figure 3

Changes according to OSA status at baseline. Mean changes (Δ) of key parameters at 12 months according to OSA status at baseline. Error bars represent standard error of the mean (SEM). OSA at baseline (n = 10), No OSA (n = 9) for A, C and D. OSA at baseline (n = 7), No OSA (n = 7) for B. OSA obstructive sleep apnoea, RNFL retinal nerve fibre layer

Those with IIH and OSA at baseline in whom the OSA diagnosis had resolved by 12 months were observed in comparison to those in whom the OSA remained at 12 months. Amongst those in whom OSA resolved, we noted a greater reduction in ICP compared to those who still had OSA at 12 months (median [95% CI] ICP, LP OP -10.8 cmCSF [ – 22.6,  – 1.1] compared to − 3.5 cmCSF [ – 6, 3.4]. papilloedema resolution was greatest in those with the resolved OSA (median [95% CI] optic nerve head volume central thickness  – 43 µ [ – 144.8, 86.5] compared to  – 9 µ [ – 35,  – 9]), although there was no difference in visual fields outcomes.


A co-morbid relationship between IIH and OSA is well described but how commonly this occurs and the relevance to IIH is uncertain. In our study, the prevalence of OSA in IIH in patients with BMI ≥ 35 kg/m2 is high, with nearly half of them fulfilling the diagnostic criteria. Our data also suggests that treating OSA in patients with IIH may improve papilloedema. In clinic the most sensitive screening tool to identify OSA risk in IIH was the STOP-BANG questionnaire. We further noted that bariatric surgery is effective at treating OSA in IIH.

The high prevalence of OSA in IIH is greater than previously reported in the historical literature. OSA in IIH patients has been previously diagnosed through full polysomnography in 33% in a prospective study (n = 24, BMI 27.3–45.9 kg/m2) and 43% in a retrospective case-note review (n = 14, BMI 33.0–63.2 kg/m2) [12, 15]. Both studies included males and females and diagnosis of OSA was made when the AHI was ≥ 5. The higher prevalence in our cohort may reflect the larger cohort size but also trends for increasing BMI amongst IIH patients in line with the global obesity epidemic [5]. Increasing BMI is a risk factor for developing OSA [30]. Our cohort was exclusively women. Amongst men with intracranial hypertension, 30% have been reported to have sleep apnoea (case-note review, n = 18) [13]. The incidence of any degree of OSA in the general population is reported as 9% to 38% and is higher with increasing age, BMI and male gender [30]. Additional studies however, report OSA prevalence in the range of 7–56% in obese females [31, 32]. It is therefore likely that the prevalence of OSA observed in our IIH female cohort with obesity is akin to that expected in a general population matched cohort.

Diagnosing OSA in IIH is important as OSA is known to be independently associated with increased morbidity from Type 2 diabetes, cardiovascular disease, hypertension and increased mortality [20]. It is important to note that patients with IIH have also been previously found to have a two-fold increase in cardiovascular disease independent of the risk conferred due to co-morbid obesity [5]. The potential role of OSA in driving cardiovascular disease in IIH patients is not known. OSA also reduces quality of life, an area already identified as adversely impacted in IIH [5, 11, 33]. Hence identifying and managing OSA in IIH is likely to improve long term health outcomes in patients with IIH.

The impact of OSA on the clinical course of IIH has not been previously determined. Previous cross-sectional studies have not shown an association between OSA and IIH clinical features [14, 34]. Our results provide initial evidence that OSA in IIH impacts papilloedema. Over a 12-month study duration, our data suggests that improving OSA was associated with improving papilloedema independent of changes in BMI. Interestingly, amongst the IIH patients diagnosed with OSA, our descriptive data suggested that papilloedema and visual field recovery at 12 months was worse compared to those without OSA, despite similar changes in ICP. These data indicate that OSA may exacerbate papilloedema and visual dysfunction in addition to risks driven by ICP and weight. OSA is known to cause intermittent nocturnal hypoxia, which has been shown to exacerbate microscopic angiopathies such as diabetic retinopathy [35]. OSA has also been shown to exacerbate optic nerve ischemia in glaucoma and non-arteritic ischaemic optic neuropathy [36]. In the setting of IIH, co-existing OSA with ensuing intermittent nocturnal hypoxia could exacerbate ischemia in the papilloedema and contribute to poorer visual outcomes. We speculate that treating OSA in IIH could independently benefit optic nerve swelling and function.

We did not notice a relationship between headache measures and OSA diagnosis in this IIH cohort, although headache is an OSA symptom that is shared with IIH [11, 37]. There were no associations with the baseline AHI and monthly headache days nor with the changes at 12 months.

Using polysomnograpy is costly and resource intensive. Hence in women with IIH we found that STOP-BANG had high sensitivity (84%) and better than the Berlin and ESS questionnaires. This is consistent with a recent meta-analysis (not in IIH) that also showed that STOP-BANG was the most sensitive screening tool [38]. The ESS demonstrated the highest specificity of 74% even with our sensitivity analysis (56%). Sensitivity analysis was performed as the AASM definition and diagnosis of OSA includes excessive daytime sleepiness which was assessed via the ESS that was also used as a screening questionnaire [29]. The importance of an OSA diagnosis in IIH is thus clinically relevant as OSA should be managed, independently of the fact the patient has IIH, but treatment may also confer additional advantages to the IIH disease course. Bariatric surgery improved OSA outcomes in our IIH cohort. The significant improvement of AHI with bariatric surgery and its superiority to CWI is in line with large clinical trials and meta-analyses proposing that bariatric surgery is a definite treatment for OSA in many other patient cohorts [17]. We have also demonstrated the clinical and cost effectiveness of bariatric surgery for treating IIH [19, 39, 40].

We noted a positive association between the change in ICP and resolving OSA over the course of the study, however this was likely driven by the change in BMI. Our exploratory analysis also revealed similar improvement in ICP in patients with and without OSA. This points towards chronic changes in ICP not being directly associated with OSA in this study. However, an acute dynamic relationship between ICP and OSA has been demonstrated using concurrent ICP monitoring and sleep apnoea assessment [41]. Additionally, it has been noted that hypoxia and hypercapnia can cause cerebral vasodilation and increased cerebral blood flow with resulting elevation of ICP [41]. Furthermore in hypoxia, brain oedema in OSA may precipitate raised ICP through the apnoeic stress response and release of excitatory neurotransmitters or disruption of the blood brain barrier in susceptible individuals [42,43,44]. OSA may further contribute to elevated ICP by large swings and elevations in intrathorasic pressure [41, 45] with a corresponding increase venous pressure which reduces drainage at the arachnoid granulations [46]. Jugular venous pressure can be also elevated in patients with OSA resulting from neck adiposity narrowing upper airways, mouth breathing or forward head posture [47].

The main limitation of this study was that the accuracy of the home-based OSA testing could have been optimized if done with full polysomnography in a hospital setting. However, the approach used in this study reflected widespread pragmatic clinical practise. Additionally testing occurred over two nights to enable a more complete evaluation. Our results are only applicable to women with IIH and a BMI ≥ 35, and extrapolating of the results outside this cohort is not clear. While we cannot draw definite conclusions from our descriptive analysis of those with and without OSA as the study was not designed to do so, this exploratory data suggests this is worthy of study in a dedicated trial in the future.

This was the largest prospective study assessing OSA status in a cohort of IIH patients. We demonstrated that OSA is very common in women with IIH. The results suggest that OSA might be associated with worse IIH outcomes and improvements in OSA severity were associated with improvements in papilloedema. Clinicians treating women with IIH need to have low threshold to suspect OSA and the STOP-BANG questionnaire can aid screening. Whether OSA treatment can reduce the burden of IIH needs to be examined.

Data availability statement

Reasonable requests will provide data beginning 12 months and ending 3 years after publication of this article to researchers whose proposed use of the data is approved by the original study investigators. Proposals should be made to the corresponding author and requesters will need to sign a data access agreement.


  1. Hoffmann J, Mollan SP, Paemeleire K, Lampl C, Jensen RH, Sinclair AJ (2018) European headache federation guideline on idiopathic intracranial hypertension. J Headache Pain 19(1):93.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. Mitchell JL, Mollan SP, Vijay V, Sinclair AJ (2019) Novel advances in monitoring and therapeutic approaches in idiopathic intracranial hypertension. Curr Opin Neurol 32(3):422–431.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Wakerley BR, Mollan SP, Sinclair AJ (2020) Idiopathic intracranial hypertension: Update on diagnosis and management. Clin Med (Lond) 20(4):384–388.

    Article  Google Scholar 

  4. Grech O, Mollan SP, Wakerley BR, Alimajstorovic Z, Lavery GG, Sinclair AJ (2020) Emerging themes in idiopathic intracranial hypertension. J Neurol.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Adderley NJ, Subramanian A, Nirantharakumar K, Yiangou A, Gokhale KM, Mollan SP et al (2019) Association between idiopathic intracranial hypertension and risk of cardiovascular diseases in women in the United Kingdom. JAMA Neurol 76(9):1088–1098.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Mollan SP, Mytton J, Tsermoulas G, Sinclair AJ (2021) Idiopathic intracranial hypertension: evaluation of admissions and emergency readmissions through the hospital episode statistic dataset between 2002–2020. Life 11(5):417.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Best J, Silvestri G, Burton B, Foot B, Acheson J (2013) The Incidence of blindness due to idiopathic intracranial hypertension in the UK. Open Ophthalmol J 7:26–29.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Mollan SP, Ali F, Hassan-Smith G, Botfield H, Friedman DI, Sinclair AJ (2016) Evolving evidence in adult idiopathic intracranial hypertension: pathophysiology and management. J Neurol Neurosurg Psychiatry 87(9):982–992.

    Article  PubMed  Google Scholar 

  9. Mollan SP, Hoffmann J, Sinclair AJ (2019) Advances in the understanding of headache in idiopathic intracranial hypertension. Curr Opin Neurol 32(1):92–98.

    Article  PubMed  Google Scholar 

  10. Jensen RH, Radojicic A, Yri H (2016) The diagnosis and management of idiopathic intracranial hypertension and the associated headache. Ther Adv Neurol Disord 9(4):317–326.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. Mulla Y, Markey KA, Woolley RL, Patel S, Mollan SP, Sinclair AJ (2015) Headache determines quality of life in idiopathic intracranial hypertension. J Headache Pain 16:521.

    Article  PubMed  Google Scholar 

  12. Marcus DM, Lynn J, Miller JJ, Chaudhary O, Thomas D, Chaudhary B (2001) Sleep disorders: a risk factor for pseudotumor cerebri? J Neuroophthalmol 21(2):121–123

    CAS  Article  PubMed  Google Scholar 

  13. Lee AG, Golnik K, Kardon R, Wall M, Eggenberger E, Yedavally S (2002) Sleep apnea and intracranial hypertension in men. Ophthalmology 109(3):482–485.

    Article  PubMed  Google Scholar 

  14. Purvin VA, Kawasaki A, Yee RD (2000) Papilledema and obstructive sleep apnea syndrome. Arch Ophthalmol 118(12):1626–1630.

    CAS  Article  PubMed  Google Scholar 

  15. Thurtell MJ, Trotti LM, Bixler EO, Rye DB, Bliwise DL, Newman NJ et al (2013) Obstructive sleep apnea in idiopathic intracranial hypertension: comparison with matched population data. J Neurol 260(7):1748–1751.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328(17):1230–1235.

    CAS  Article  PubMed  Google Scholar 

  17. Sarkhosh K, Switzer NJ, El-Hadi M, Birch DW, Shi X, Karmali S (2013) The impact of Bariatric surgery on obstructive sleep apnea: a systematic review. Obes Surg 23(3):414–423.

    Article  PubMed  Google Scholar 

  18. Sinclair AJ, Burdon MA, Nightingale PG, Ball AK, Good P, Matthews TD et al (2010) Low energy diet and intracranial pressure in women with idiopathic intracranial hypertension: prospective cohort study. BMJ 341:c2701.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Mollan SP, Mitchell JL, Ottridge RS, Aguiar M, Yiangou A, Alimajstorovic Z et al (2021) Effectiveness of Bariatric surgery vs community weight management intervention for the treatment of idiopathic intracranial hypertension: a randomized clinical trial. JAMA Neurol.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Adderley NJ, Subramanian A, Toulis K, Gokhale K, Taverner T, Hanif W et al (2020) Obstructive sleep apnea, a risk factor for cardiovascular and microvascular disease in patients with type 2 diabetes: findings from a population-based cohort study. Diabetes Care 43(8):1868–1877.

    Article  PubMed  Google Scholar 

  21. Ottridge R, Mollan SP, Botfield H, Frew E, Ives NJ, Matthews T et al (2017) Randomised controlled trial of Bariatric surgery versus a community weight loss programme for the sustained treatment of idiopathic intracranial hypertension: the Idiopathic Intracranial Hypertension Weight Trial (IIH:WT) protocol. BMJ Open 7(9):e017426.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Friedman DI, Liu GT, Digre KB (2013) Revised diagnostic criteria for the pseudotumor cerebri syndrome in adults and children. Neurology 81(13):1159–1165.

    Article  PubMed  Google Scholar 

  23. Vijay V, Mollan SP, Mitchell JL, Bilton E, Alimajstorovic Z, Markey KA et al (2020) Using optical coherence tomography as a surrogate of measurements of intracranial pressure in idiopathic intracranial hypertension. JAMA Ophthalmol 138(12):1264–1271.

    Article  PubMed  Google Scholar 

  24. Frisén L (1982) Swelling of the optic nerve head: a staging scheme. J Neurol Neurosurg Psychiatry 45(1):13–18.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP (1999) Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med 131(7):485–491.

    CAS  Article  PubMed  Google Scholar 

  26. Johns MW (1991) A new method for measuring daytime sleepiness: the epworth sleepiness scale. Sleep 14(6):540–545.

    CAS  Article  PubMed  Google Scholar 

  27. Chung F, Yegneswaran B, Liao P, Chung Sharon A, Vairavanathan S, Islam S et al (2008) STOP Questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology 108(5):812–821.

    Article  PubMed  Google Scholar 

  28. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK et al (2012) Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med 8(5):597–619.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K 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(3):479–504.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Senaratna CV, Perret JL, Lodge CJ, Lowe AJ, Campbell BE, Matheson MC et al (2017) Prevalence of obstructive sleep apnea in the general population: A systematic review. Sleep Med Rev 34:70–81.

    Article  PubMed  Google Scholar 

  31. Tufik S, Santos-Silva R, Taddei JA, Bittencourt LR (2010) Obstructive sleep apnea syndrome in the Sao Paulo Epidemiologic Sleep Study. Sleep Med 11(5):441–446.

    Article  PubMed  Google Scholar 

  32. Bixler EO, Vgontzas AN, Lin HM, Ten Have T, Rein J, Vela-Bueno A et al (2001) Prevalence of sleep-disordered breathing in women: effects of gender. Am J Respir Crit Care Med 163(3 Pt 1):608–613.

    CAS  Article  PubMed  Google Scholar 

  33. Wimms A, Woehrle H, Ketheeswaran S, Ramanan D, Armitstead J (2016) Obstructive sleep apnea in women: specific issues and interventions. Biomed Res Int 2016:1764837.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Fraser CL, Bliwise DL, Newman NJ, Lamirel C, Collop NA, Rye DB et al (2013) A prospective photographic study of the ocular fundus in obstructive sleep apnea. J Neuroophthalmol 33(3):241–246.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Shiba T, Maeno T, Saishin Y, Hori Y, Takahashi M (2010) Nocturnal intermittent serious hypoxia and reoxygenation in proliferative diabetic retinopathy cases. Am J Ophthalmol 149(6):959–963.

    Article  PubMed  Google Scholar 

  36. Mojon DS, Hedges TR III, Ehrenberg B, Karam EZ, Goldblum D, Abou-Chebl A et al (2002) Association between sleep apnea syndrome and nonarteritic anterior ischemic optic neuropathy. Arch Ophthalmol 120(5):601–605.

    Article  PubMed  Google Scholar 

  37. Loh NK, Dinner DS, Foldvary N, Skobieranda F, Yew WW (1999) Do patients with obstructive sleep apnea wake up with headaches? Arch Intern Med 159(15):1765–1768.

    CAS  Article  PubMed  Google Scholar 

  38. Chiu HY, Chen PY, Chuang LP, Chen NH, Tu YK, Hsieh YJ et al (2017) Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis. Sleep Med Rev 36:57–70.

    Article  PubMed  Google Scholar 

  39. Aguiar M, Frew E, Mollan SP, Mitchell JL, Ottridge RS, Alimajstorovic Z et al (2021) The health economic evaluation of Bariatric surgery versus a community weight management intervention analysis from the idiopathic intracranial hypertension weight trial (IIH:WT). Life (Basel).

    Article  PubMed Central  Google Scholar 

  40. Elliot L, Frew E, Mollan SP, Mitchell JL, Yiangou A, Alimajstorovic Z et al (2021) Cost-effectiveness of Bariatric surgery versus community weight management to treat obesity-related idiopathic intracranial hypertension: evidence from a single-payer healthcare system. Surg Obes Relat Dis.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Jennum P, Børgesen SE (1989) Intracranial pressure and obstructive sleep apnea. Chest 95(2):279–283.

    CAS  Article  PubMed  Google Scholar 

  42. Baronio D, Martinez D, Fiori CZ, Bambini-Junior V, Forgiarini LF, Pase da Rosa D et al (2013) Altered aquaporins in the brains of mice submitted to intermittent hypoxia model of sleep apnea. Respir Physiol Neurobiol 185(2):217–221.

    CAS  Article  PubMed  Google Scholar 

  43. Fung SJ, Xi MC, Zhang JH, Sampogna S, Yamuy J, Morales FR et al (2007) Apnea promotes glutamate-induced excitotoxicity in hippocampal neurons. Brain Res 1179:42–50.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  44. Lim DC, Pack AI (2014) Obstructive sleep apnea and cognitive impairment: addressing the blood-brain barrier. Sleep Med Rev 18(1):35–48.

    Article  PubMed  Google Scholar 

  45. Abdeyrim A, Zhang Y, Li N, Zhao M, Wang Y, Yao X et al (2015) Impact of obstructive sleep apnea on lung volumes and mechanical properties of the respiratory system in overweight and obese individuals. BMC Pulm Med 15:76.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. McGeeney BE, Friedman DI (2014) Pseudotumor cerebri pathophysiology. Headache 54(3):445–458.

    Article  PubMed  Google Scholar 

  47. Wardly DE (2014) Intracranial hypertension associated with obstructive sleep apnea: a discussion of potential etiologic factors. Med Hypotheses 83(6):792–797.

    CAS  Article  PubMed  Google Scholar 

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We thank the study participants and staff at the National Institute for Health Research Clinical Research Network and the Wellcome Trust Clinical Research Facilities, where this clinical trial was performed.


The National Institute for Health Research (NIHR-CS-011-028) funded the trial to which the participants were recruited. Additional funding for trial was funded by the Medical Research Council, UK (MR/K015184/1). Lavery is supported by a Wellcome Trust Senior Fellowship (104612/Z/14/Z). Tahrani was funded by an NIHR Clinician Scientist Award for part of the duration of the study (NIHR-CS-2013-13-029). The sleep apnoea diagnostics were funded by NIHR-CS-2013-13-029. Sinclair is funded by a Sir Jules Thorn Award for Biomedical Science. The views expressed are those of the authors and not necessarily those of the UK National Health Service, the NIHR, or the UK department of Health and Social Care.

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Authors and Affiliations



All authors contributed in critical revision of the manuscript for important intellectual content and have provided their final approval to submit. Lavery, Tahrani, Mollan and Sinclair contributed to the study conception and design. Yiangou, Mitchell, Nicholls, Vijay, Chong, Tahrani and Sinclair contributed to acquisition of data. Yiangou, Mitchell, Nicholls, Vijay, Wakerley, Tahrani, Mollan and Sinclair contributed to the analysis and interpretation of data. Yiangou, Tahrani, Mollan and Sinclair drafted the manuscript.

Corresponding author

Correspondence to Alexandra J. Sinclair.

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Conflicts of interest

Nicholls, Chong, Vijay, Lavery have no conflicts of interest to declare that are relevant to the content of this article. Yiangou reports receiving speaker fees from Teva, UK outside the submitted work. Mitchell reports receiving grants from the National Institute of Health Research during the conduct of the study and grants from the UK Ministry of Defence outside the submitted work. Wakerley reports receiving consultancy fees from Invex Therapeutics outside the submitted work. Lavery reports receiving funding through a Wellcome Trust Senior Fellowship during the conduct of the study. Mollan reports receiving personal fees from Allergan, Chiesi Farmaceutici, Heidelberg Engineering, Invex Therapeutics, Neurodiem, Novartis, Roche, Santen Pharmaceutical, Scope Ophthalmics and Santhera Pharmaceuticals outside the submitted work. Tahrani reports grants, personal fees, and travel support from Sanofi, grants, personal fees and educational events grants from Novo Nordisk, travel support from Merck Sharp and Dohme, personal fees and travel support from Boehringer Ingelheim, personal fees from Lilly, AstraZeneca, Bristol-Myers Squibb, and Janssen, equipment and travel support from ResMed, equipment from Philips Resporinics, Impeto Medical, and ANSAR Medical Technologies, grants and non-financial support from Napp, and equipment and support staff from BHR Pharmaceuticals Ltd. Tahrani is currently an employee of Novo Nordisk. This work was performed before Tahrani becoming a Novo Nordisk employee and Novo Nordisk had no role in this study. Sinclair reports receiving personal fees (salary and stock options) from Invex therapeutics, during the conduct of the study but outside the submitted work; and receiving grants from the Medical Research Council of the United Kingdom and funding through a Sir Jules Thorn Award for Biomedical Science during the conduct of the study.

Ethics approval

The National Research Ethics Committee West Midlands – The Black Country approved IIH: WT (14/WM/0011). The study was conducted according to the Declaration of Helsinki.

Consent to participate and publish

Informed written consent was obtained from all individual participants included in the study.

Supplementary Information

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Supplementary file1 (DOCX 41 KB)

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Yiangou, A., Mitchell, J.L., Nicholls, M. et al. Obstructive sleep apnoea in women with idiopathic intracranial hypertension: a sub-study of the idiopathic intracranial hypertension weight randomised controlled trial (IIH: WT). J Neurol 269, 1945–1956 (2022).

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  • Idiopathic intracranial hypertension
  • Obstructive sleep apnoea
  • Screening
  • Bariatric surgery
  • Papilloedema