Skip to main content
UKPMC Funders Author Manuscripts logoLink to UKPMC Funders Author Manuscripts
. Author manuscript; available in PMC: 2017 Apr 3.
Published in final edited form as: Sleep Med Rev. 2015 May 30;27:108–124. doi: 10.1016/j.smrv.2015.05.003

Meta-analysis of randomised controlled trials of oral mandibular advancement devices and continuous positive airway pressure for obstructive sleep apnoea-hypopnoea

Linda D Sharples a,b,*, Abigail L Clutterbuck-James c, Matthew J Glover d, Maxine S Bennett b, Rebecca Chadwick e, Marcus A Pittman c, Timothy G Quinnell c
PMCID: PMC5378304  EMSID: EMS71929  PMID: 26163056

Summary

Obstructive sleep apnoea-hypopnoea (OSAH) causes excessive daytime sleepiness, impairs quality-of-life, and increases cardiovascular disease and road traffic accident risks. Continuous positive airway pressure (CPAP) treatment and mandibular advancement devices (MAD) have been shown to be effective in individual trials but their effectiveness particularly relative to disease severity is unclear.

A MEDLINE, Embase and Science Citation Index search updating two systematic reviews to August 2013 identified 77 RCTs in adult OSAH patients comparing: MAD with conservative management (CM); MAD with CPAP; or CPAP with CM. Overall MAD and CPAP significantly improved apnoea-hypopnoea index (AHI) (MAD −9.3/hr (p < 0.001), CPAP −25.4 (p < 0.001)). In direct comparisons mean AHI and Epworth sleepiness scale score were lower (7.0/hr (p < 0.001) and 0.67 (p = 0.093) respectively) for CPAP. There were no CPAP vs. MAD trials in mild OSAH but in comparisons with CM, MAD and CPAP reduced ESS similarly (MAD 2.01 (p < 0.001); CPAP 1.23 (p = 0.012).

Both MAD and CPAP are clinically effective in the treatment of OSAH. Although CPAP has a greater treatment effect, MAD is an appropriate treatment for patients who are intolerant of CPAP and may be comparable to CPAP in mild disease.

Keywords: Meta-analysis, Obstructive sleep apnoea-hypopnoea, Mandibular advancement device, Continuous positive airway pressure

Introduction

Obstructive sleep apnoea-hypopnoea (OSAH) is characterised by repeated interruption of breathing during sleep due to episodic collapse of the pharyngeal airway. These episodes usually cause oxygen desaturation and are terminated by micro-arousals from sleep. This sleep disruption commonly causes excessive daytime sleepiness (EDS) [1].

Published studies suggest that OSAH affects 2%–7% of the adult population [2]. It becomes more prevalent in middle age and males have approximately double the risk of developing the condition [3]. The main modifiable risk factor for OSAH is obesity, particularly when adiposity is distributed around the neck and upper body [4]. Others include smoking and alcohol use. Medical conditions such as hypothyroidism, polycystic ovary syndrome and acromegaly have also been associated with OSAH [2,4].

The sequelae of OSAH can be serious. There is a causal link with hypertension [5]. A recent meta-analysis estimated the risk of cardiovascular disease (CVD) to be 2.5 times higher in patients with moderate-severe OSAH [6]. This association is supported by biologically plausible mechanisms. Intermittent hypoxia, micro-arousals and excessive negative intrathoracic pressure swings may all play a role, mediated via sympathetic activation, oxidative stress and inflammation, as well as through direct cardiac effects [7]. There is also evidence for improvement in cardiovascular outcomes when OSA is treated. While the case is strongest for hypertension, there may be other cardiovascular benefits, although conclusive evidence is still needed. There are other consequences of OSAH. Impaired vigilance is responsible for a two to three fold increase in road traffic accident (RTA) risk [8], while health related quality of life (HRQoL) is also diminished [9]. Healthcare usage is almost doubled in OSAH, with one of the main determinants of increased cost being CVD [10].

The AHI is an objective, sensitive and specific measure of the severity of OSAH. It allows useful if arbitrary disease categorisation, although differing hypopnoea definitions introduce variability. The American Academy of Sleep Medicine (AASM) defines mild OSAH as an AHI of 5–14 events per hour; moderate OSAH as 15–30 events per hour; and severe OSAH as an AHI of greater than 30 events per hour [11].

Impact on excessive daytime sleepiness (EDS) is routinely measured when evaluating the effectiveness of different treatments for OSAH. The extensively validated Epworth sleepiness scale (ESS) is the most frequently used instrument [12]. As a subjective measure it is susceptible to significant placebo effects [13] but it has been found to be the best among a range of validated outcome measures in predicting real response to OSAH treatment [14].

For milder cases of OSAH, treatment focuses on lifestyle modification (weight loss, smoking cessation, reduction of alcohol intake, position management and sleep hygiene). When the symptoms of OSAH are more severe definitive treatment is usually recommended, most commonly CPAP. Pressure generated by an electric air pump is applied to the upper airway via a face mask. It provides a pneumatic splint which maintains pharyngeal patency during sleep. There is good evidence that CPAP reduces obstructive events and improves daytime sleepiness, cognitive function, HRQoL and CVD risk factors. However almost all trials have been conducted in patients with moderate-severe OSAH [9,15,16], and CPAP intolerance, which frequently undermines its effectiveness, may be a particular problem in milder disease [17].

Mandibular advancement devices (MAD) are an alternative to CPAP in the treatment of OSAH. Worn intraorally during sleep, they can prevent upper airway collapse by holding the mandible and tongue forward. A wide variety of devices are available, covering a range of sophistication and cost. Improvement in respiratory events has been associated with MAD-mediated increase in upper airway dimensions [18]. The positive treatment effect, coupled with compliance rates that may be higher than for CPAP, suggest MADs are an effective treatment in patients with mild to moderate OSAH.

Three meta-analyses have examined the evidence for the use of MAD in OSAH [9,15,19]. Lim et al. [19] reviewed 17 RCTs on MAD involving 831 patients. They concluded that MADs were effective in reducing AHI, ESS and other measures of sleep-disordered breathing compared with conservative management (CM), but less than CPAP. Effects on quality of life, symptoms, CVD risk factors and RTAs were unclear due to the small number of studies and inconsistent methodology. An earlier Cochrane review [15] compared CPAP to controls and MADs in separate analyses. CPAP was best at reducing AHI. However, ESS improvements were similar for CPAP and MADs, with both better than no treatment. There was evidence of greater CPAP effectiveness with increasing baseline AHI severity. McDaid et al. [9] compared CPAP with control (placebo and conservative treatment) and MAD in separate analyses. They identified 48 studies reporting at least one measure of clinical effectiveness. Twenty-nine included ESS as the primary outcome. Most studies included people with severe disease by baseline AHI. There was less evidence of a difference between CPAP and MAD impacts on ESS, compared to CPAP and control. The small number of trials directly comparing these two treatments makes it difficult to elucidate the reasons for the differing AHI and ESS effects, but others have also noted only moderate correlation between AHI and ESS [20]. In common with Lim et al., [19] results regarding quality of life and cardiovascular risks were inconclusive due to the small numbers of trials and patients, short follow up and heterogeneous outcome measures.

This meta-analysis was designed to update systematic reviews of the effects on OSAH of MAD and CPAP, compared with each other and with CM, and to estimate the effect on AHI and ESS of both treatments. This includes assessment of heterogeneity due to baseline AHI severity, baseline ESS severity, trial methodology and duration of follow up.

Methods

Search strategy for the systematic review

The systematic review included RCTs of adult (16 y or older) OSAH patients with at least one arm randomised to MAD or CPAP. Exclusions were: studies comparing two different MAD or two different types of CPAP (differences within treatment modalities are small and numerous different devices are available), animal studies, non-randomised studies and trials published in a language other than English.

Information sources used to identify studies

The search strategy updated two existing systematic reviews [9,19] to August 2013, when the main analysis was conducted. The main stages of the search are described below.

  • 1)

    All studies reported in the McDaid et al. systematic review [9] were included, which searched 14 databases up to November 2006 and included all RCTs of CPAP compared with either MAD or a non-MAD control. This search was repeated in 2012 by the authors of McDaid et al. (York University Centres for Reviews and Dissemination and for Health Economics) and results were shared with the authors of this article. This search strategy was repeated, by the authors, to retrieve articles from March 2012 to August 2013 using MEDLINE, Embase and the Science Citation Index, the three most sensitive databases reported by McDaid [9], to identify recent trials.

  • 2)

    The search by McDaid et al. [9] did not include studies of MAD against CM. Therefore additional papers were identified from Lim [19], and an updated version of the Lim strategy re-run to cover the period June 2008 and August 2013, using MEDLINE, Embase and the Science Citation Index.

  • 3)

    Reference lists of papers were searched and supplemented by the research team's expert knowledge of the area to identify other trials missed in updated searches.

Inclusion criteria

All studies published by McDaid et al. and Lim et al. were reviewed. For subsequent searches, titles and abstracts were screened independently for relevance by two of the authors (of MB, MG, AC-J, RC and MP). Disagreements were resolved by consensus.

Patients

Full papers were retrieved for RCTs of adult patients with newly diagnosed or existing OSAH of any severity and confirmed using an appropriate method such as polysomnography. Studies were excluded if OSAH was not the predominant diagnosis, for example sleep disordered breathing associated with heart disease, stroke or dementia.

Interventions

Trials with at least one randomised comparison of i) MAD (fixed or adjustable) against CM ii) CPAP (fixed or autotitrating) against CM, iii) MAD (fixed or adjustable) against CPAP (fixed or autotitrating) were included. CM included usual care, recommendation to lose weight or reduce alcohol consumption, sham device, placebo pill or postural device aimed at discouraging supine sleeping. Although data were extracted from studies where a surgical intervention was compared with either MAD or CPAP, this was not considered to be CM and the studies were excluded from the meta-analysis.

Trial methods

All trial methodologies that included randomised allocation were included. In practice, trials were either i) crossover in design, with all patients receiving at least one active treatment and the order of treatment determined at random, or ii) individually-randomised, parallel-groups trials, with each patient receiving one treatment only. Trials in which the treatment duration was ≤ one week were excluded since this period was considered inadequate to produce a treatment effect.

Outcome measurements

This review focusses on AHI and ESS, the most commonly reported outcomes used to assess treatment effectiveness.

Data extracted from published studies

For previously published reviews (see above), estimates of treatment effects recorded in the relevant papers were used after checking their accuracy in the published article or abstract [9,19]. For newly identified studies information from full papers was extracted independently by two of the authors (of MB, MG, AC-J, RC and MP) and entered onto a bespoke data extraction form. Queries were resolved by consensus. Studies available as abstracts only were included provided that we could verify the inclusion and exclusion criteria, and at least one of the outcomes of interest was reported. For the updated review of MAD, if data in the published abstract, index paper, or a related publication were unclear, the authors were approached for further information. It was not possible within the timescale of the study to pursue authors of trials involving CPAP for data that were not published in the abstract, index paper, or a related publication.

Data extracted included details of the patient sample and baseline characteristics, intervention and comparator, outcome measurements, trial methodology, treatment duration and results.

Mean differences between the groups for continuous outcomes, and standard errors of the group differences, were extracted for the meta-analysis.

Quality assessment

The Jadad score was calculated as a measure of quality for consistency with previously published reviews [9,19]. The Jadad score was calculated by one reviewer and checked by a second.

Publication bias

Funnel plots were examined as an informal method of assessing publication bias. These showed little evidence of asymmetry but the number of studies was too small for more formal analysis.

Data analysis

Three separate meta-analyses were conducted, one for each of the comparisons i) MAD against CM, ii) MAD against CPAP and iii) CPAP against CM. Meta-analyses used random effects methods and were implemented using metan and related commands in STATA version 12 [21] and in WinBUGS [22]. In brief, this model was formulated as follows. From each study i we have an estimate of the treatment effect compared with the control treatment as β^i and we assume that these estimates follow a Gaussian distribution with

β^i|βiN(βi,σi2)

where βi is the underlying mean treatment effect and σi2 is the standard error in trial i. We assume that the trials are exchangeable a priori and that the underlying trial parameters βi are drawn from a Gaussian distribution with mean μ = E[βi] and variance τ2 = Var[βi].

The methods used in STATA follow DerSimonian and Laird (1986) [21] who take a classical approach to random-effects metaanalysis. The expected treatment effect μ is estimated as the weighted average,

μ^=βi^w^i/w^i

where the weights are given by the inverse of the estimated total variance w^i=1/(σi2+τ2).

The standard error of μ^ is approximated by (1/Σw^i) and an approximate 95% confidence interval is given by

μ^±1.96(1/Σw^i).

All outcomes were assumed to be normally distributed. The standard error term σi2 was estimated by the within-trial standard error. Where only 95% confidence intervals were available the standard error was estimated using (upper limit-lower limit)/3.92.

Although we investigated combining all trial results in a formal network meta-analysis, differences in control trial samples meant that these comparisons were unsound and these results are not reported. Informal indirect comparisons are discussed.

Heterogeneity between studies was represented by the I2 statistic and the χ2 test for heterogeneity [23]. In order to investigate the sources of heterogeneity the combined treatment effects for AHI and ESS were re-estimated in each of the following subgroups.

  • 1)

    Mean baseline AHI events/hour: mild (AHI 5–14), moderate (AHI 15–30) and severe (AHI > 30). If only mean DI, rather than mean AHI was available, severity was classified as: mild (DI 5–9), moderate (DI 10–30) and severe (DI > 30).

  • 2)

    Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24)

  • 3)

    Study design: parallel and crossover

  • 4)

    Treatment duration for studies involving MAD: short (2–12 wk) and long (>12 wk), and for studies of CPAP against CM: short (2–4 wk) medium (5–12 wk) and long (>12 wk)

Results

Quantity and quality of studies

Results of the literature search are summarised in Fig. 1. After combining studies identified in previous reviews which had not been superceded by subsequent reports (44 studies) with those identified in the current review (27 studies) 71 trials were included. Three studies compared MAD, CPAP and CM and so each contribute to three separate comparisons, giving a total of 77 separate comparisons [2426]. Most studies focussed on the effectiveness of CPAP.

Fig. 1.

Fig. 1

Results of the literature search. Abbreviations: CPAP: continuous positive airway pressure; MAD: mandibular advancement device; TOMADO: trial of oral mandibular advanacement devices for obstructive sleep apnoea.

Summary of included studies

Summaries of the baseline characteristics for the included studies are shown in Table 1. Twelve studies (629 patients) compared MAD against CM, 13 studies (746 patients) compared MAD against CPAP and 52 studies (5400 patients) compared CPAP with CM.

Table 1.

Baseline characteristics of patients and study designs for randomised controlled trials.

Study Design Number randomised (analysed) Baseline severity (AHI or DI) Baseline symptom severity (ESS) Duration of each treatment (weeks)
MAD compared with CM
Aarab et al. 2011 [26] P 42 Moderate Moderate 26
Andren et al. 2013 [27] P 72 Moderate Moderate 13
Barnes et al. 2004 [24] C 80 Moderate Moderate 12
Blanco et al. 2005 [34] P 24 (15) Severe Severe 13
Duran et al. 2002 [47] C 44 (38) Mild NR NR
Gotsopoulos et al. 2002 [48] C 85 (73) Moderate NR 4
Hans et al. 1997 [33] P 24 Moderate NR NR
Johnston et al. 2002 [49] C 21 (18) Severe Moderate 4–6
Lam et al. 2007 [25] P 67 Moderate Moderate 10
Mehta et al. 2001 [50] C 28 Moderate NR 3
Petri et al. 2008 [51] P 52 Severe Moderate 4
Quinnell et al. 2014 [35] P 90 Mild Moderate 4
MAD compared with CPAP
Aarab et al. 2011 [26] P 43 Moderate Moderate 26
Barnes et al. 2004 [24] C 80 Moderate Moderate 12
Engelman et al. 2002 [46] C 51 (48) Severe Moderate 8
Ferguson et al. 1996 [29] C 27 Moderate NR 17
Ferguson et al. 1997 [28] C 24 (19) Moderate NR 17
Fleetham et al. 1998 [31] P 101 Severe Moderate 12
Hoekema et al. 2008 [52] P 103 Severe Moderate 8
Gagnadoux et al. 2009 [53] C 59 Severe Moderate 8
Lam et al. 2007 [25] P 68 Moderate Moderate 10
Olson et al. 2002 [45] C 24 NR NR 14
Phillips et al. 2013 [36] C 122 Moderate Moderate 4
Randerath et al. 2002 [30] C 20 Moderate NR 6
Tan et al. 2002 [54] C 24 (21) Moderate Moderate 8
CPAP compared with CM
Aarab et al. 2011 [26] P 43 Moderate Moderate 26
Arias et al. 2005 [55] C 27 Severe NR 12
Arias et al. 2006 [56] P 23 Severe NR 12
Ballester et al. 1999 [57] P 105 Severe Moderate 12
Barbe et al. 2001 [58] P 55 Severe Normal/Mild 6
Barbe et al. 2012 [59] P 725 Severe Normal/Mild 156
Barnes et al. 2002 [60] C 42 Mild Moderate 8
Barnes et al. 2004 [24] C 80 Moderate Moderate 12
Becker et al. 2003 [61] P 60 Severe Moderate 9
Campos-Rodriguez et al. 2006 [62] P 72 Severe Moderate 4
Chakravorty et al. 2002 [63] P 71 Severe Severe 12
Coughlin et al. 2007 [64] C 35 Severe Moderate 6
Craig et al. 2012 [65] P 391 Mild Normal/Mild 26
Diafera et al. 2013 [66] P 100 Severe Moderate 13
Drager et al. 2006 [67] P 16 Severe NR 12
Drager et al. 2007 [68] P 24 Severe Moderate 17
Duran-Cantolla et al. 2010 [69] P 340 Severe Moderate 12
Engleman et al. 1996 [70] C 16 Severe NR 3
Engleman et al. 1997 [71] C 18 Mild Moderate 4
Engleman et al. 1998 [72] C 23 Severe Moderate 4
Engleman et al. 1999 [73] C 37 Mild Moderate 4
Faccenda et al. 2001 [74] C 71 Severe Moderate 4
Haensel et al. 2007 [75] P 50 Severe NR 2
Henke et al. 2001 [76] P 45 Severe Severe 2
Hoyos et al. 2012 [77] P 65 Severe Moderate 12
Hui et al. 2006 [78] P 56 Severe Moderate 12
Jenkinson et al. 1999 [79] P 107 Moderate Severe 4
Kaneko et al. 2003 [80] P 21 Severe Normal/Mild 4
Kushida et al. 2012 [81] P 1105 Severe Moderate 26
Lam et al. 2007 [25] P 67 Moderate Moderate 10
Lee et al. 2012 [82] P 71 Severe Moderate 3
Lozano et al. 2010 [83] P 75 Severe Normal/Mild 13
Mansfield et al. 2004 [84] P 55 Moderate Moderate 12
Marshall et al. 2005 [85] C 31 Moderate Moderate 3
Monasterio et al. 2001 [86] P 142 Moderate Moderate 24
Montserrat et al. 2001 [87] P 46 Severe Severe 6
Norman et al. 2006 [88] P 33 Severe Moderate 2
Pepperell et al. 2002 [16] P 118 Severe Severe 4
Phillips et al. 2011 [89] C 20 Severe Moderate 8
Redline et al. 1998 [90] P 111 Moderate Moderate 8
Robinson et al. 2006 [91] C 35 Moderate Normal/Mild 4
Sharma et al. 2011 [92] C 90 Severe Moderate 13
Siccoli et al. 2008 [14] P 102 Severe Moderate 4
Simpson et al. 2012 [93] P 36 Severe NR 12
Skinner et al. 2004 [94] C 10 Moderate Moderate 4
Skinner et al. 2008 [95] C 20 Moderate Moderate 4
Spicuzza et al. 2006 [96] P 25 Severe NR 4
Tomfohr et al. 2011 [97] P 71 Severe Moderate 3
Von Kanel et al. 2006 [98] P 28 Severe NR 2
Weaver et al. 2012 [32] P 281 Mild Moderate 8
Weinstock et al. 2012 [99] C 50 Severe NR 8
West et al. 2007 [100] P 42 NR Moderate 12

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS 0–9 (normal/mild) 10–15 (moderate) 16–24 (severe).

Abbreviations: apnoea-hypopnoea index (AHI); CPAP: continuous positive airway pressure; C: Crossover; DI: desaturation index; ESS: Epworth Sleepiness Score; MAD: mandibular advancement device; NR: not recorded or unclear; P: parallel.

Patient characteristics

As expected the study samples included a large proportion of men, ranging from 65% to 100%, median 81%. The reported mean ages ranged from 44.0 to 59.2 y. Most trial samples were over-weight or obese on average, with mean body mass index ranging from 28.3 kg/m2 to 35.1 kg/m2.

In general CPAP trials were conducted in patient samples with more severe AHI/ESS at baseline than were MAD trials. Of 51 CPAP-CM comparisons that recorded average baseline AHI, 35 (69%) were in patients with an average AHI greater than 30 events/hour (severe OSAH) compared with three of 12 (25%) MAD-CM trials. Only five CPAP-CM trials were in patients with mild AHI at baseline. Most MAD-CM trials (seven of 12, 58%) were in patients with moderate AHI at baseline. In trials directly comparing MAD with CPAP, one did not record baseline AHI, eight of the remaining 12 (67%) reported moderate and four (33%) reported severe average baseline AHI.

Average baseline ESS was available for 60 comparisons. Of these, all nine MAD-CPAP trials and seven of the eight (88%) MAD-CM trials reported moderate mean baseline ESS. Of the 43 CPAP-CM comparisons, six (14%) had normal/mild, 32 (74%) had moderate and five (12%) had severe mean baseline daytime sleepiness according to ESS.

Intervention and comparators

Thirteen (53%) of 25 trials involving MAD used adjustable devices, 10 (40%) used fixed devices and two (8%) did not report the type. In 13 trials (52%) the MAD was compared directly with CPAP, nine (36%) used a sham MAD, one compared MAD with a placebo tablet, one with conservative treatment and one with no treatment.

Of 65 trials involving CPAP 54 (83%) used fixed CPAP, six (9%) autotitrating machines and five (8%) did not report this information. Excluding the 13 trials comparing CPAP with MAD, 29 of 52 (56%) compared CPAP with a sham version, seven (13%) with placebo tablet and nine (13%) with conservative management or no treatment.

Study design

Trials were almost invariably small (see Table 1). The median number of patients randomised in MAD-CM trials was 48 (range 21–91), in MAD-CPAP trials 51 (range 20–122) and in CPAP-CM 52 (range 10 to 1105). Duration of treatment was generally short, with 60 of 76 (79%) trials that reported duration having a treatment period of 12 wk or less. Nine of 13 (69%) MAD-CPAP trials had a crossover design, compared with six of 12 (50%) MAD-CM trials and 16 of 52 (31%) CPAP-CM trials.

Study quality

The Jadad score was available for 69 of the 71 trials, with average score close to three for comparisons against CM. The mean Jadad score was 2.9 in MAD-CM trials, 2.3 in MAD-CPAP comparisons and 3.1 in CPAP-CM trials, with the lower mean scores in MAD-CPAP comparisons mainly attributable to the difficulty in blinding the two active treatments.

Apnoea-hypopnoea index

MAD compared with CM

Twelve studies (629 patients) provided an estimate of the effect on AHI, but one of these [27] only provided a point estimate and could not be included in the meta-analysis (see Fig. 2). The mean difference (reduction) in AHI for MAD compared with CM was −9.29 events/hour, (95%CI −12.28, −6.30), p < 0.001. There was significant heterogeneity between studies (I2 = 60%, p = 0.005), partly arising from differences in baseline severity of AHI. Only two studies were in patients with mild OSAH and the treatment effect for these studies differed by more than nine events per hour. Six of the 11 studies had a crossover design and these studies had more heterogeneous results than parallel group trials (see Table 2). Treatment effects were greater in crossover trials than in parallel group designs, although the difference between designs was not large. In addition, treatment effects in trials of short duration were larger than in longer-term studies.

Fig. 2.

Fig. 2

Meta-analysis of AHI results from trials of MAD compared with conservative management, stratified by baseline AHI. Mean baseline AHI/DI (events/hour); mild (AHI 5–14, DI 5–9) moderate (AHI 15–30 DI 10–30) severe (AHI > 30 DI > 30). Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; continuous positive airway pressure (CPAP); DI: desaturation index; ES: effect size; ID: identification; MAD: mandibular advancement device.

Table 2.

Subgroup analysis of AHI results (events per hour) for comparisons of MAD against conservative management (negative estimates favour MAD).

Subgroup Number of studies Difference in AHI: MAD-control (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI
Mild [35,47] 2 −7.79 (−16.38, 0.79) 0.075 65% 0.091
Moderate [2426,33,48,50] 6 −10.72 (−14.59, −6.85) <0.001 52% 0.064
Severe [24,49,51] 3 −7.95 (−15.94, 0.05) 0.051 32% 0.232
Baseline ESS
Moderate [2426,35,49,51] 6 −6.69 (−8.98, −4.41) <0.001 35% 0.177
Severe [34] 1 −2.10 (−12.33, 8.13) 0.687
Trial design
Crossover [24,35,4750] 6 −10.17 (−14.27, −6.07) <0.001 76% 0.001
Parallel [25,26,33,34,51] 5 −8.57 (−12.39, −4.75) <0.001 0% 0.533
Duration of treatment
2–12 wk [24,25,33,35,4851] 8 −9.69 (−13.27, −6.12) <0.001 68% 0.003
>12 wk [26,34] 2 −6.78 (−13.24, −0.33) 0.039 23% 0.56
Overall MAD compared with control
Overall 11 −9.29 (−12.28, −6.30) <0.001 60% 0.005

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; DI: desaturation index; I2: proportion of total variability explained by heterogeneity; MAD: mandibular advancement device.

MAD compared with CPAP

From 13 trials (746 patients) the estimated overall difference in AHI was 7.03 events/hour (95%CI 5.41, 8.66), p < 0.001, with CPAP having lower post-treatment AHI than MAD (see Fig. 3). Again there was important heterogeneity between study results, with smaller studies [2831] and shorter studies [28,29,31], estimating greater effects than larger and longer studies. No MAD-CPAP head-to-head comparisons were reported in patients with mild baseline AHI (see Table 3) and all nine trials reported moderate average ESS at baseline. Estimates of the difference in post-treatment AHI were consistent and were not related to baseline AHI (moderate compared with severe), trial design or duration of treatment, with all significantly lower, by approximately seven events per hour, after CPAP (see Table 3).

Fig. 3.

Fig. 3

Meta-analysis of AHI results from trials of MAD compared with CPAP. Mean baseline AHI/DI (events/hour): mild (AHI 5–14, DI 5–9), moderate (AHI 15–30 DI 10–30) and severe (AHI > 30 DI > 30). Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; ES: effect size; ID: Identification; MAD: mandibular advancement device; NR: baseline AHI not recorded.

Table 3.

Subgroup analysis of AHI results (events per hour) for comparison of MAD against CPAP (positive estimates favour CPAP).

Subgroup Number of studies Difference in AHI: MAD-CPAP (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI (1 study did not record baseline AHI)
Moderate [2426,2830,36,54] 8 7.48 (5.77, 9.19) <0.001 28% 0.203
Severe [31,46,52,53] 4 7.22 (3.20, 11.25) <0.001 74% 0.010
Baseline ESS
Moderate [2426,31,36,46,5254] 9 6.70 (4.86, 8.54) <0.001 57% 0.098
Trial design
Crossover [24,2830,36,45,46,53,54] 9 6.91 (5.11, 8.71) <0.001 48% 0.054
Parallel [25,26,31,52] 4 7.72 (3.58, 11.87) <0.001 69% 0.022
Duration of treatment
2–12 wk [24,25,30,31,36,46,5254] 9 7.19 (5.25, 9.12) <0.001 59% 0.013
>12 wk [26,28,29,45] 4 6.78 (3.25, 10.31) <0.001 42% 0.157
Overall MAD compared with CPAP
Overall 13 7.03 (5.41, 8.66) <0.001 52% 0.015

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; I2: proportion of total variability explained by heterogeneity; MAD: mandibular advancement device.

CPAP compared with CM

Of 52 CPAP-CM trials, 25 (1596 patients) reported post-treatment AHI, with combined effect of −25.37 events/hour (95% CI −30.67, −20.07), p < 0.001 (see Fig. 4). There was a significant amount of heterogeneity between study results, both overall and within strata. Some heterogeneity could be explained by baseline AHI severity and the potential for treatment effect is naturally governed by the extent of disease in the sample. Only one of these studies was in patients with mild baseline AHI [32] and the estimated mean effect in this trial was small at −2.40 events/hour (95% CI −3.67, −1.13). The mean difference in AHI between CPAP and CM patients increased with baseline severity, from −13.67 events/hour (95%CI −16.13, −11.20) for moderate AHI at baseline to −33.04 events/hour (95%CI −39.75, −26.34) for severe (see Table 4). One trial reported normal/mild ESS at baseline but, despite this, baseline AHI was severe and the treatment effect was large. With the exception of this study the effect of CPAP on AHI was related to baseline ESS severity. There was some evidence that the treatment was less effective in crossover trials compared with parallel group trials. In common with MAD-CM comparisons, trials with longer treatment duration had lower treatment effects than shorter trials (see Table 4).

Fig. 4.

Fig. 4

Meta-analysis of AHI results from trials of CPAP compared with conservative management, stratified by baseline AHI. Mean baseline AHI/DI (events/hour): mild (AHI 5–14, DI 5–9), moderate (AHI 15–30 DI 10–30) and severe (AHI > 30 DI > 30). Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; ES: effect size; ID: identification.

Table 4.

Subgroup analysis of AHI results (events/hour) for comparison of CPAP against conservative management (negative estimates favour CPAP).

Subgroup Number of studies Difference in AHI: CPAP-control (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI
Mild [32] 1 −2.40 (−3.67, −1.13) <0.001
Moderate [2426,84,86,94,95] 7 −13.67 (−16.13, −11.20) <0.001 47% 0.081
Severe [16,61,63,66,67,7577,80,82,88,89,93,9699] 17 −33.04 (−39.75, −26.34) <0.001 90% <0.001
Baseline ESS
Normal/Mild [80] 1 −32.50 (−43.55, −21.45) <0.001
Moderate [2426,32,61,66,77,82,84,86,88,89,94,95,97] 15 −17.54 (−22.51, −12.56) <0.001 95% <0.001
Severe [16,63,76] 3 −34.73 (−58.90, −10.57) 0.005 95% <0.001
Trial design
Crossover [24,89,94,95,99] 5 −19.71 (−27.95, −11.48) <0.001 87% <0.001
Parallel [16,25,26,32,61,63,66,67,7577,80,82,84,86,88,93,9698] 20 −27.08 (−33.68, −20.48) <0.001 97% <0.001
Duration of treatment
2–4 wk [16,75,76,80,82,88,9498] 11 −32.90 (−43.78, −22.02) <0.001 93% <0.001
5–12 wk [24,25,32,61,63,67,77,84,89,93,99] 11 −22.34 (−29.84, −14.85) <0.001 96% <0.001
>12 wk [26,66,86] 3 −14.25 (−19.03, −9.46) <0.001 82% 0.004
Overall CPAP compared with controls
Overall 25 −25.37 (−30.67, −20.07) <0.001 96% <0.001

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; I2 proportion of total variability explained by heterogeneity.

Epworth sleepiness scale

MAD compared with CM

Ten studies reported a point estimate for ESS but only nine reported the standard error of the treatment effect and so could be included in the meta-analysis. For these nine studies (485 patients) the combined treatment effect on ESS was −1.64 (−2.46, −0.82) (see Fig. 5 and Table 5). There was significant heterogeneity, with small studies [33,34] more likely to report large treatment differences (see Fig. 5). One study was conducted in patients with mild AHI at baseline and the effect on ESS in this study was between, and of a similar order to, estimates from trials in patient populations with moderate and severe baseline AHI [35]. Due to the small number of trials and the large influence of the Blanco et al. [34] study it was not possible to reliably assess reasons for heterogeneity.

Fig. 5.

Fig. 5

Meta-analysis of ESS results from trials of MAD compared with conservative management, stratified by baseline AHI. Mean baseline Apnoea-Hypopnoea Index/Desaturation Index (AHI/DI) events/hour: mild (AHI 5–14, DI 5–9) moderate (AHI 15–30 DI 10–30) severe (AHI > 30 DI > 30). Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; DI: desaturation index; ES: effect size; ESS: Epworth Sleepiness Scale; ID: identification; MAD: mandibular advancement device.

Table 5.

Subgroup analysis of ESS results for comparison of MAD against conservative management (negative estimates favour MAD).

Subgroup Number of studies Difference in ESS: MAD-controls (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI
Mild [35] 1 −2.01 (−2.70, −1.32) <0.001 42% 0.142
Moderate [2426,33,48] 5 −1.38 (−2.48, −0.27) 0.15 73% 0.025
Severe [34,49,51] 3 −2.68 (−5.89, 0.54) 0.103 48% 0.051
Baseline ESS
Moderate [2426,35,49,51] 6 −1.36 (−2.07, −0.64) <0.001
Severe [34] 1 −8.50 (−13.64, −3.36) 0.001 55% 0.037
Trial design
Crossover [24,35,48,49] 4 −1.75 (−2.25, −1.25) <0.001 2% 0.380
Parallel [25,26,33,34,51] 5 −2.18 (−4.80, 0.44) 0.102 68% 0.015
Duration of treatment
2–12 wk [24,25,33,35,48,49,51] 7 −1.75 (−2.22, −1.28) <0.001 0% 0.521
<12 wk [26,34] 2 −3.26 (−13.15, 6.63) 0.518 90% 0.001
Overall MAD compared with controls
Overall 9 −1.64 (−2.46, −0.82) <0.001 48% 0.051

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; DI: desaturation index; ESS: Epworth Sleepiness Scale; I2 proportion of total variability explained by heterogeneity; MAD: mandibular advancement device.

MAD compared with CPAP

Of the 12 studies directly comparing MAD and CPAP 10 trials (675 patients) recorded ESS with a combined effect of 0.67 (95%CI −0.11, 1.44), p = 0.093 (see Fig. 6). The positive estimate indicates that the post-treatment ESS was lower (better) in the CPAP group. There was less between-study heterogeneity in this analysis and results of stratified analysis show that any treatment effect was small, with clinically significant differences only likely for those with severe baseline AHI (see Table 6). However the number and size of trials made reliable conclusions impossible, particularly regarding mild OSAH.

Fig. 6.

Fig. 6

Meta-analysis of ESS results from trials of MAD compared with CPAP, stratified by baseline AHI. Mean baseline AHI/DI (events/hour): mild (AHI 5–14, DI 5–9), moderate (AHI 15–30 DI 10–30) and severe (AHI > 30 DI > 30). Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; ES: effect size; ESS: Epworth Sleepiness Scale; ID: identification; MAD: mandibular advancement device.

Table 6.

Subgroup analysis of ESS results for comparison of MAD against CPAP (positive estimates favour CPAP).

Subgroup Number of studies Difference in ESS: MAD-CPAP (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI
Moderate [2426,28,36,54] 6 0.06 (−0.61, 0.72) 0.864 0% 0.659
Severe [31,46,52,53] 4 1.42 (−0.24, 3.08) 0.094 68% 0.024
Baseline ESS
Moderate [2426,31,36,46,5254] 9 0.81 (−0.04, 1.65) 0.062 49% 0.049
Trial design
Crossover [24,28,36,46,53,54] 6 0.54 (−0.48, 1.57) 0.301 60% 0.030
Parallel [25,26,31,52] 4 0.97 (−0.16, 2.11) 0.093 0% 0.399
Duration of treatment
2–12 wk [24,25,31,36,46,5254] 8 0.82 (−0.09, 1.73) 0.078 55% 0.031
> 12 wk [26,28] 2 −0.06 (–1.66, 1.54) 0.944 0% 0.461
Overall MAD compared with CPAP
Overall 10 0.67 (−0.11, 1.44) 0.093 45% 0.059

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9) moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; ESS: Epworth sleepiness scale; I2: proportion of total variability explained by heterogeneity; MAD: mandibular advancement device.

CPAP compared with CM

Thirty-eight of the 52 CPAP-CM trials (4894 patients) reported the estimated post-treatment effect on ESS. These trials were plotted in Fig. 7 with combined treatment effect of −2.23 (95% CI −2.76, −1.71), p < 0.001. Again there was significant heterogeneity, and some stratified analyses were reported in Table 7. In common with AHI the effect of CPAP on ESS increased with baseline AHI severity, from −1.23 (95%CI −2.19, −0.27) for the mild group to −2.64 (95%CI −3.44, −1.84) for the severe group. One study did not report baseline AHI. Trial design had less impact on outcomes but longer duration of treatment was associated with decreasing treatment effect, which again mirrors the analysis of AHI.

Fig. 7.

Fig. 7

Meta-analysis of ESS results from trials of CPAP compared with conservative management. Mean baseline AHI/DI (events/hour): mild (AHI 5–14, DI 5–9), moderate (AHI 15–30 DI 10–30) and severe (AHI > 30 DI > 30). Abbreviations: apnoea-hypopnoea index (AHI); confidence interval (CI); continuous positive airway pressure (CPAP); desaturation index (DI); effect size (ES); Epworth sleepiness scale (ESS); identification (ID); baseline AHI not recorded (NR).

Table 7.

Subgroup analysis of ESS results for comparison of CPAP against conservative management (negative estimates favour CPAP).

Subgroup Number of studies Difference in ESS: CPAP-control (95%CI) P value for effect I2 Heterogeneity P value
Baseline AHI
Mild [32,60,65,71,73] 5 −1.23 (−2.19, −0.27) 0.012 59% 0.045
Moderate [2426,79,8486,90,91,95] 10 −1.82 (–2.73, –0.92) <0.001 60% 0.008
Severe [14,16,32,5765,68,69,7174,7678,81,83,87,89,92,97] 22 −2.64 (–3.44, –1.84) <0.001 86% <0.001
Baseline ESS
Normal/Mild [58,59,65,83,91 5 −0.83 (−1.16, −0.51) <0.001 30% 0.222
Moderate [14,2426,32,57,6062,64,68,69,7174,77,78,81,8486,89,90,92,95,97,100] 28 −2.19 (−2.84, −1.53) <0.001 76% <0.001
Severe [16,63,76,79,87] 5 −4.99 (−6.51, −3.47) <0.001 46% 0.115
Trial design
Crossover [24,60,64,7174,85,89,91,92,95]; 12 −2.32 (−3.33, −1.31) <0.001 79% <0.001
Parallel [14,16,25,26,32,5759,6163,65,68,69,7679,81,83,84,86,87,90,97,100] 26 −2.15 (−2.74, −1.55) <0.001 82% <0.001
Duration of treatment
2–4 wk [14,16,62,7174,76,79,85,91,95,97] 13 −2.58 (−3.66, −1.51) <0.001 75% <0.001
5–12 wk [24,25,32,57,58,60,61,63,64,69,77,78,84,87,89,90,100] 17 −2.20 (−3.02, −1.39) <0.001 68% <0.001
>12 wk [26,59,65,68,81,83,86,92] 8 −1.87 (−2.83, −0.90) <0.001 93% <0.001
Overall CPAP compared with controls
Overall 38 −2.23 (−2.76, −1.71) <0.001 83% <0.001

Mean baseline AHI (or DI if AHI not reported) events/hour: mild (AHI 5–14, DI 5–9), moderate (AHI 15–30, DI 10–30) and severe (AHI > 30, DI > 30).

Mean baseline ESS score: normal/mild (0–9), moderate (10–15) and severe (16–24).

Abbreviations: AHI: apnoea-hypopnoea index; CI: confidence interval; CPAP: continuous positive airway pressure; DI: desaturation index; ESS: Epworth sleepiness scale; I2: proportion of total variability explained by heterogeneity; MAD: mandibular advancement device.

Discussion

Our study was based on a systematic review of the available literature and robust, prospective design. The updated meta-analyses offer stronger insights into the relative effectiveness of MAD and CPAP in patients with mild-moderate OSAH. In addition the effects of baseline severity have been highlighted and used to explain some of the differences in effects between MAD and CPAP.

The three pairwise meta-analyses have shown that MAD results in a significant improvement in post-treatment AHI, and that the estimate of effect was similar irrespective of baseline AHI. CPAP produces an improvement of approximately three times that of the combined estimate for MAD. However, the majority of trials involving CPAP focus on patients with severe baseline AHI and there was strong evidence that the treatment effect, compared with CM, was related to baseline AHI severity, which is natural since a higher baseline allows greater scope for an absolute decrease. In trials directly comparing MAD with CPAP the combined estimates favour CPAP but the absolute difference between them was of the order of seven events per hour, much less than suggested by indirectly comparing MAD-CM and CPAP-CM trials. In the few trials of patients with mild baseline AHI, compared with CM the estimated reduction in AHI due to CPAP was −2.4 events/hour (95%CI −1.13, −3.67) and due to MAD was −7.79 events/hour (95%CI −16.38, 0.79). Moreover, there were no MAD-CPAP trials conducted in patients with mild average baseline AHI. This evidence suggests that CPAP results in greater overall effect on post-treatment AHI but the improvement over MAD will be lower in mild disease.

The effect of MAD on subjective daytime sleepiness measured using the ESS followed a similar pattern but this instrument was less sensitive to differences than AHI, so that differences in treatment effects between MAD and CPAP were smaller and not significant in direct comparisons. From trials of CPAP against CM the estimated effects were related to baseline EDS severity with treatment effects (95%CI) on ESS of −0.83 (−1.16, −0.51) for normal/mild, −2.19 (−2.84, 1.53) for moderate and −4.99 (−6.51, −3.47) for severe baseline ESS. This relationship between baseline severity and effect on ESS was also observed when severity was classified by average baseline AHI. When trials of similar baseline characteristics were compared there was little difference between the effects of MAD and CPAP on post-treatment ESS when assessed against CM, and this was reinforced by the results from head-to-head trials. In the few trials conducted in patients with mild baseline AHI, compared with CM the estimated reduction in ESS due to CPAP was −1.23 (95%CI −2.19, −0.27) and due to MAD was −2.01 (95% CI −2.70, −1.32).

There was some evidence that treatment effects were stronger in trials of short duration of treatment, which may have a number of causes. CPAP is intrusive, requiring patients to wear a face mask during sleep, and there is evidence for a tailing-off of compliance over time [17]. Although there is some evidence that MAD may be better tolerated than CPAP in the short term [3638], the limited longer-term data available suggest that compliance with this less intrusive intervention also diminishes with time [39,40]. For both active treatments progression of the underlying OSAH may mean that treatment effects decreased over time. Possible candidate mechanisms would be ageing and weight gain. Age effects would not be expected to manifest over the relatively short periods that trials run [41,42]. The evidence for CPAP use being associated with weight gain remains unclear but even when demonstrated the degree of increase seems too small to impact significantly on treated OSAH [43]. In any case, the range of trial durations in this meta-analysis was narrow, and there were too few trials (and patients) to examine this observation in detail. Further trials and, more importantly, availability of individual patient data from all trials, would allow indepth examination of the characteristics of patients that determine outcomes.

In almost all comparisons there was significant heterogeneity between trials. Although some of this could be explained by disease severity, design and treatment duration, unexplained heterogeneity remains. Although we used random-effects meta-analysis to provide unbiased point estimates and robust estimates of precision, further elucidation of the sources of heterogeneity would be useful. Routine release of anonymised, individual patient data after trials have been reported would allow greater exploration of the variation in treatment outcomes. We strongly support initiatives such as the Farr Institute in making such data freely available.

Limitations

In the meta-analysis we considered all MAD as a single treatment modality. There were too few studies to allow robust subgroup analyses and so we were unable to identify the more modest differences in effects between different MAD. It has been suggested that future meta-analyses distinguish between trials of non-adjustable MAD and those using adjustable MAD (aMAD) [44]. From the 2006 Cochrane analysis that included only trials comparing CPAP with aMAD, the ESS effect size was in favour of MAD, but not significantly [15]. We considered performing a similar subgroup analysis when updating the meta-analysis. However, device adjustability could not always be determined [31,45]. In any case, to subdivide along these lines may be too simplistic. For example, one trial with relatively weak treatment effects has previously been excluded from aMAD reviews, as they used two non-adjustable MAD [46]. However they performed ‘pseudotitration’ by adapting devices to optimise comfort and benefits, and reported near maximal (80%) jaw protrusion. Meanwhile the potential advantage of titratable aMAD has sometimes been negated by the use of uniform protrusion for all patients [30].

Three separate meta-analyses were conducted comparing MAD against CM, MAD against CPAP and CPAP against CM. A more sophisticated analysis would combine the studies into a formal network meta-analysis, thereby adding strength to all comparisons and better aligning the studies. Whilst this method was investigated, such analyses rely on the assumption of common control populations (the associative law), which was unlikely to be true in this case, given the greater severity of OSAH in samples undergoing trials of CPAP. Furthermore the heterogeneity observed between studies suggested that combining results within and across different treatments may not be sensible. The likely implication of doing separate meta-analyses would be a loss of precision.

CM encompassed a wide range of control treatments so that their influence on the trial-based treatment effects was difficult to estimate with any precision.

In our systematic review we used the Jadad score as a measure of study quality which is rather an insensitive tool. It did, however, provide a broad structure for summarising design features reported in existing clinical trials.

We restricted this analysis to the two most frequently used outcome measures in RCTs of OSA treatment and in clinical practice. Other important clinical outcomes, such as hypertension, were not always available in published studies, and when they were the specific measurement reported was not consistent. In addition, a wide range of quality of life instruments have been used and robust meta-analysis of these outcomes has not been possible.

Where there was uncertainty regarding published evidence we were able to contact authors of trials of MAD but, due to the much larger number of studies, this was not possible for CPAP trials. However this mainly applied to trials that were only published in abstract form and is not likely to have introduced important bias.

Conclusions

For patients with moderate to severe OSAH treatment with CPAP was the most clinically-effective approach to reduction in the AHI. For individual patients who are intolerant of CPAP, treatment with a MAD may also be effective in reducing the AHI compared with no treatment. Both treatments were effective in reducing ESS, with CPAP having only a small, additional effect over MADs. In the few trials of patients with mild OSAH, CPAP and MAD were similarly effective treatment options and there was little to choose between them in terms of clinical-effectiveness. There was significant heterogeneity between patients in response to treatment, some of which could be explained by severity of OSAH at baseline (differences in the effect sizes for CPAP and MAD increased with baseline severity) and duration of treatment. Furthermore, there is unavoidable overlap between the arbitrarily defined severity groups, which introduces ambiguity. However, reliable stratification of patients for management will only be possible if anonymised individual patient data from these studies can be made available.

Practice points

This meta-analysis shows that:

  1. CPAP is the most clinically effective treatment at reducing AHI in moderate to severe OSAH.

  2. Both CPAP and MAD reduce subjective sleepiness to a similar extent in OSAHS.

  3. MAD are better than no treatment for CPAP-intolerant patients and, based on indirect comparisons, may be as effective as CPAP in mild disease.

Research agenda

Future research needs to address:

  1. whether adjustable MAD offer additional benefits in terms of treatment outcomes over non-titratable devices, using prospective head-to-head trials.

  2. using evidence obtained from (1) the comparative effectiveness of optimal MAD therapy and CPAP in mild OSAHS.

  3. the need for reliable stratification of patients for management using data from existing studies.

  4. the need to continue to explore the effectiveness and costs of clinical strategies to predict individual patients' responses to MAD, to refine treatment choice and effectiveness in OSAHS.

Acknowledgements

We would like to thank Isla Kuhn from the University of Cambridge Medical Library for her searches of the literature.

The authors have received a grant from National Institute for Health Research Health Technology Assessment (NIHR HTA) Programme (project number 08/110/03) for a trial of mandibular advancement devices (TOMADO) (ISRCTN02309506) which will be published in full in the Journal of Health Technology Assessment. Maxine Benefit was funded by a National Institute of Health Research, Clinical Trials Methodology fellowship.

Abbreviations

AASM

American Academy of Sleep Medicine

AHI

apnoea–hypopnoea index

aMAD

adjustable mandibular advancement device

CI

confidence interval

CM

conservative management

CPAP

continuous positive airway pressure

CVD

cardiovascular disease

DI

desaturation index

EDS

excessive daytime sleepiness

ES

effect size

ESS

Epworth sleepiness scale

HRQoL

health-related quality of life

ID

identification

MAD

mandibular advancement device

OSAH

obstructive sleep apnoea–hypopnoea

RCT

randomised controlled trial

RTA

road traffic accident

Footnotes

Contribution of authors

Dr Timothy Quinnell was the chief investigator for the study. Prof. Linda Sharples designed the meta-analysis and had overall responsibility for research methodology. The literature searching and study identification was conducted by Dr Abigail Clutterbuck-James, Maxine Bennett, Matthew Glover, Rebecca Chadwick, Dr Marcus Pittman and the meta-analysis was conducted and interpreted by Prof. Sharples. Prof. Sharples, Dr Quinnell and Dr Clutterbuck-James created the first draft of the paper. All authors reviewed the draft and contributed to the final version.

Conflicts of interest

The authors do not have any conflicts of interest to disclose.

Department of health disclaimer

The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the HTA programme, NIHR, NHS or the Department of Health.

References

  • [1].Douglas NJ, Polo O. Pathogenesis of obstructive sleep apnoea/hypopnoea syndrome. Lancet. 1994;344:653–5. doi: 10.1016/s0140-6736(94)92088-5. [DOI] [PubMed] [Google Scholar]
  • [2].Punjabi NM. The epidemiology of adult obstructive sleep apnea. Proc Am Thorac Soc. 2008;5:136–43. doi: 10.1513/pats.200709-155MG. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med. 1993;328:1230–5. doi: 10.1056/NEJM199304293281704. [DOI] [PubMed] [Google Scholar]
  • [4].Al Lawati NM, Patel SR, Ayas NT. Epidemiology, risk factors, and consequences of obstructive sleep apnea and short sleep duration. Prog Cardiovasc Dis. 2009;51:285–93. doi: 10.1016/j.pcad.2008.08.001. [DOI] [PubMed] [Google Scholar]
  • [5].Stradling JR, Pepperell JC, Davies RJ. Sleep apnoea and hypertension: proof at last? Thorax. 2001;56(Suppl 2):ii45–59. [PMC free article] [PubMed] [Google Scholar]
  • [6].Dong JY, Zhang YH, Qin LQ. Obstructive sleep apnea and cardiovascular risk: meta-analysis of prospective cohort studies. Atherosclerosis. 2013;229:489–95. doi: 10.1016/j.atherosclerosis.2013.04.026. [DOI] [PubMed] [Google Scholar]
  • [7].Bradley TD, Floras JS. Obstructive sleep apnoea and its cardiovascular consequences. Lancet. 2009;373:82–93. doi: 10.1016/S0140-6736(08)61622-0. [DOI] [PubMed] [Google Scholar]
  • [8].Ellen RL, Marshall SC, Palayew M, Molnar FJ, Wilson KG, Man-Son-Hing M. Systematic review of motor vehicle crash risk in persons with sleep apnea. J Clin Sleep Med. 2006;2:193–200. [PubMed] [Google Scholar]
  • [9].McDaid C, Griffin S, Weatherly H, Duree K, van der Burgt M, van Hout S, et al. Continuous positive airway pressure devices for the treatment of obstructive sleep apnoea-hypopnoea syndrome: a systematic review and economic analysis. Health Technol Assess. 2009;13:iii–iv. doi: 10.3310/hta13040. xi–xiv, 1–119, 43–274. [DOI] [PubMed] [Google Scholar]
  • [10].Tarasiuk A, Greenberg-Dotan S, Simon-Tuval T, Oksenberg A, Reuveni H. The effect of obstructive sleep apnea on morbidity and health care utilization of middle-aged and older adults. J Am Geriatr Soc. 2008;56:247–54. doi: 10.1111/j.1532-5415.2007.01544.x. [DOI] [PubMed] [Google Scholar]
  • [11].American Academy of Sleep Medicine Task Force Report. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. Sleep. 1999;22:667–89. AASM. [PubMed] [Google Scholar]
  • [12].Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14:540–5. doi: 10.1093/sleep/14.6.540. [DOI] [PubMed] [Google Scholar]
  • [13].Crawford MR, Bartlett DJ, Coughlin SR, Phillips CL, Neill AM, Espie CA, et al. The effect of continuous positive airway pressure usage on sleepiness in obstructive sleep apnoea: real effects or expectation of benefit? Thorax. 2012;67:920–4. doi: 10.1136/thoraxjnl-2012-201622. [DOI] [PubMed] [Google Scholar]
  • [14].Siccoli MM, Pepperell JC, Kohler M, Craig SE, Davies RJ, Stradling JR. Effects of continuous positive airway pressure on quality of life in patients with moderate to severe obstructive sleep apnea: data from a randomized controlled trial. Sleep. 2008;31:1551–8. doi: 10.1093/sleep/31.11.1551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Giles TL, Lasserson TJ, Smith BJ, White J, Wright J, Cates CJ. Continuous positive airways pressure for obstructive sleep apnoea in adults. Cochrane Database Syst Rev. 2006:CD001106. doi: 10.1002/14651858.CD001106.pub2. [DOI] [PubMed] [Google Scholar]
  • [16].Pepperell JC, Ramdassingh-Dow S, Crosthwaite N, Mullins R, Jenkinson C, Stradling JR, et al. Ambulatory blood pressure after therapeutic and sub therapeutic nasal continuous positive airway pressure for obstructive sleep apnoea: a randomised parallel trial. Lancet. 2002;359:204–10. doi: 10.1016/S0140-6736(02)07445-7. [DOI] [PubMed] [Google Scholar]
  • [17].McArdle N, Devereux G, Heidarnejad H, Engleman HM, Mackay TW, Douglas NJ. Long-term use of CPAP therapy for sleep apnea/hypopnea syndrome. Am J Respir Crit Care Med. 1999;159:1108–14. doi: 10.1164/ajrccm.159.4.9807111. [DOI] [PubMed] [Google Scholar]
  • [18].Chan AS, Sutherland K, Schwab RJ, Zeng B, Petocz P, Lee RW, et al. The effect of mandibular advancement on upper airway structure in obstructive sleep apnoea. Thorax. 2010;65:726–32. doi: 10.1136/thx.2009.131094. [DOI] [PubMed] [Google Scholar]
  • [19].Lim J, Lasserson TJ, Fleetham J, Wright J. Oral appliances for obstructive sleep apnoea. Cochrane Database Syst Rev. 2006:CD004435. doi: 10.1002/14651858.CD004435. [DOI] [PubMed] [Google Scholar]
  • [20].Bennett LS, Langford BA, Stradling JR, Davies RJ. Sleep fragmentation indices as predictors of daytime sleepiness and nCPAP response in obstructive sleep apnea. Am J Respir Crit Care Med. 1998;158:778–86. doi: 10.1164/ajrccm.158.3.9711033. [DOI] [PubMed] [Google Scholar]
  • [21].DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
  • [22].Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Statistics Comput. 2000;10:325–37. [Google Scholar]
  • [23].Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24].Barnes M, McEvoy RD, Banks S, Tarquinio N, Murray CG, Vowles N, et al. Efficacy of positive airway pressure and oral appliance in mild to moderate obstructive sleep apnea. Am J Respir Crit Care Med. 2004;170:656–64. doi: 10.1164/rccm.200311-1571OC. [DOI] [PubMed] [Google Scholar]
  • [25].Lam B, Sam K, Mok WY, Cheung MT, Fong DY, Lam JC, et al. Randomised study of three non-surgical treatments in mild to moderate obstructive sleep apnoea. Thorax. 2007;62:354–9. doi: 10.1136/thx.2006.063644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Aarab G, Lobbezoo F, Hamburger HL, Naeije M. Oral appliance therapy versus nasal continuous positive airway pressure in obstructive sleep apnea: a randomized, placebo-controlled trial. Respiration. 2011;81:411–9. doi: 10.1159/000319595. [DOI] [PubMed] [Google Scholar]
  • [27].Andren A, Hedberg P, Walker-Engstrom ML, Wahlen P, Tegelberg A. Effects of treatment with oral appliance on 24-h blood pressure in patients with obstructive sleep apnea and hypertension: a randomized clinical trial. Sleep Breath. 2013;17:705–12. doi: 10.1007/s11325-012-0746-7. [DOI] [PubMed] [Google Scholar]
  • [28].Ferguson KA, Ono T, Lowe AA, al-Majed S, Love LL, Fleetham JA. A short-term controlled trial of an adjustable oral appliance for the treatment of mild to moderate obstructive sleep apnoea. Thorax. 1997;52:362–8. doi: 10.1136/thx.52.4.362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [29].Ferguson KA, Ono T, Lowe AA, Keenan SP, Fleetham JA. A randomized crossover study of an oral appliance vs nasal-continuous positive airway pressure in the treatment of mild-moderate obstructive sleep apnea. Chest. 1996;109:1269–75. doi: 10.1378/chest.109.5.1269. [DOI] [PubMed] [Google Scholar]
  • [30].Randerath WJ, Heise M, Hinz R, Ruehle KH. An individually adjustable oral appliance vs continuous positive airway pressure in mild-to-moderate obstructive sleep apnea syndrome. Chest. 2002;122:569–75. doi: 10.1378/chest.122.2.569. [DOI] [PubMed] [Google Scholar]
  • [31].Fleetham JA, Lowe A, Vazquez JC, Ferguson K, Flemons W, Remmers J. A long term randomised parallel multicentre study of an oral appliance vs nCPAP in the treatment of obstructive sleep apnea. American Thoracic Society international conference; Chicago, Illinois. April 24–29; 1998. p. 613. [Google Scholar]
  • [32].Weaver TE, Mancini C, Maislin G, Cater J, Staley B, Landis JR, et al. Continuous positive airway pressure treatment of sleepy patients with milder obstructive sleep apnea: results of the CPAP Apnea Trial North American Program (CATNAP) randomized clinical trial. Am J Respir Crit Care Med. 2012;186:677–83. doi: 10.1164/rccm.201202-0200OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Hans MG, Nelson S, Luks VG, Lorkovich P, Baek SJ. Comparison of two dental devices for treatment of obstructive sleep apnea syndrome (OSAS) Am J Orthod Dentofac Orthop. 1997;111:562–70. doi: 10.1016/s0889-5406(97)70293-2. [DOI] [PubMed] [Google Scholar]
  • [34].Blanco J, Zamarron C, Abeleira Pazos MT, Lamela C, Suarez Quintanilla D. Prospective evaluation of an oral appliance in the treatment of obstructive sleep apnea syndrome. Sleep Breath. 2005;9:20–5. doi: 10.1007/s11325-005-0003-4. [DOI] [PubMed] [Google Scholar]
  • [35].Quinnell TG, Bennett M, Jordan J, Clutterbuck-James AL, Davies MG, Smith IE, et al. A crossover randomised controlled trial of oral mandibular advancement devices for obstructive sleep apnoea-hypopnoea (TOM-ADO) Thorax. 2014;69:938–45. doi: 10.1136/thoraxjnl-2014-205464. [DOI] [PubMed] [Google Scholar]
  • [36].Phillips CL, Grunstein RR, Darendeliler MA, Mihailidou AS, Srinivasan VK, Yee BJ, et al. Health outcomes of continuous positive airway pressure versus oral appliance treatment for obstructive sleep apnea. Am J Respir Crit Care Med. 2013;187:879–87. doi: 10.1164/rccm.201212-2223OC. [DOI] [PubMed] [Google Scholar]
  • [37].de Almeida FR. Complexity and efficacy of mandibular advancement splints: understanding their mode of action. J Clin Sleep Med. 2011;7:447–8. doi: 10.5664/JCSM.1302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [38].Vanderveken OM, Dieltjens M, Wouters K, De Backer WA, Van de Heyning PH, Braem MJ. Objective measurement of compliance during oral appliance therapy for sleep-disordered breathing. Thorax. 2013;68:91–6. doi: 10.1136/thoraxjnl-2012-201900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [39].Doff MH, Hoekema A, Wijkstra PJ, van der Hoeven JH, Huddleston Slater JJ, de Bont LG, et al. Oral appliance versus continuous positive airway pressure in obstructive sleep apnea syndrome: a 2-year follow-up. Sleep. 2013;36:1289–96. doi: 10.5665/sleep.2948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [40].Gauthier L, Laberge L, Beaudry M, Laforte M, Rompre PH, Lavigne GJ. Mandibular advancement appliances remain effective in lowering respiratory disturbance index for 2.5–4.5 years. Sleep Med. 2011;12:844–9. doi: 10.1016/j.sleep.2011.05.004. [DOI] [PubMed] [Google Scholar]
  • [41].Hoch CC, Reynolds CF, 3rd, Monk TH, Buysse DJ, Yeager AL, Houck PR, et al. Comparison of sleep-disordered breathing among healthy elderly in the seventh, eighth, and ninth decades of life. Sleep. 1990;13:502–11. doi: 10.1093/sleep/13.6.502. [DOI] [PubMed] [Google Scholar]
  • [42].Eikermann M, Jordan AS, Chamberlin NL, Gautam S, Wellman A, Lo YL, et al. The influence of aging on pharyngeal collapsibility during sleep. Chest. 2007;131:1702–9. doi: 10.1378/chest.06-2653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Phillips B, Dhaon NA. Weigh the options before starting CPAP. J Clin Sleep Med. 2013;9:995–6. doi: 10.5664/jcsm.3066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Lettieri CJ, Paolino N, Eliasson AH, Shah AA, Holley AB. Comparison of adjustable and fixed oral appliances for the treatment of obstructive sleep apnea. J Clin Sleep Med. 2011;7:439–45. doi: 10.5664/JCSM.1300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [45].Olson LG, Ambrogetti A, Trevillian Z. A randomised crossover comparison of nasal CPAP and amandibular advancement splint in mild obstructive sleep apnea. 2006:2002. Published in part in Lim et al. [Google Scholar]
  • [46].Engleman HM, McDonald JP, Graham D, Lello GE, Kingshott RN, Coleman EL, et al. Randomized crossover trial of two treatments for sleep apnea/hypopnea syndrome: continuous positive airway pressure and mandibular repositioning splint. Am J Respir Crit Care Med. 2002;166:855–9. doi: 10.1164/rccm.2109023. [DOI] [PubMed] [Google Scholar]
  • [47].Duran JJ, Esnaola S, Rubio R, De La Torre G, Anitua E, Zubia S, et al. A randomised, double blind, crossover, placebo-controlled trial of mandibular advancement device for the treatment of snoring and mild obstructive sleep apnoe-hypopnoea syndrome. Eur Respir J. 2002;20:102s. [Google Scholar]
  • [48].Gotsopoulos H, Chen C, Qian J, Cistulli PA. Oral appliance therapy improves symptoms in obstructive sleep apnea: a randomized, controlled trial. Am J Respir Crit Care Med. 2002;166:743–8. doi: 10.1164/rccm.200203-208OC. [DOI] [PubMed] [Google Scholar]
  • [49].Johnston CD, Gleadhill IC, Cinnamond MJ, Gabbey J, Burden DJ. Mandibular advancement appliances and obstructive sleep apnoea: a randomized clinical trial. Eur J Orthod. 2002;24:251–62. doi: 10.1093/ejo/24.3.251. [DOI] [PubMed] [Google Scholar]
  • [50].Mehta A, Qian J, Petocz P, Darendeliler MA, Cistulli PA. A randomized, controlled study of a mandibular advancement splint for obstructive sleep apnea. Am J Respir Crit Care Med. 2001;163:1457–61. doi: 10.1164/ajrccm.163.6.2004213. [DOI] [PubMed] [Google Scholar]
  • [51].Petri N, Svanholt P, Solow B, Wildschiodtz G, Winkel P. Mandibular advancement appliance for obstructive sleep apnoea: results of a randomised placebo controlled trial using parallel group design. J Sleep Res. 2008;17:221–9. doi: 10.1111/j.1365-2869.2008.00645.x. [DOI] [PubMed] [Google Scholar]
  • [52].Hoekema A, Stegenga B, Wijkstra PJ, van der Hoeven JH, Meinesz AF, de Bont LG. Obstructive sleep apnea therapy. J Dent Res. 2008;87:882–7. doi: 10.1177/154405910808700917. [DOI] [PubMed] [Google Scholar]
  • [53].Gagnadoux F, Fleury B, Vielle B, Petelle B, Meslier N, N'Guyen XL, et al. Titrated mandibular advancement versus positive airway pressure for sleep apnoea. Eur Respir J. 2009;34:914–20. doi: 10.1183/09031936.00148208. [DOI] [PubMed] [Google Scholar]
  • [54].Tan YK, L'Estrange PR, Luo YM, Smith C, Grant HR, Simonds AK, et al. Mandibular advancement splints and continuous positive airway pressure in patients with obstructive sleep apnoea: a randomized cross-over trial. Eur J Orthod. 2002;24:239–49. doi: 10.1093/ejo/24.3.239. [DOI] [PubMed] [Google Scholar]
  • [55].Arias MA, Garcia-Rio F, Alonso-Fernandez A, Mediano O, Martinez I, Villamor J. Obstructive sleep apnea syndrome affects left ventricular diastolic function: effects of nasal continuous positive airway pressure in men. Circulation. 2005;112:375–83. doi: 10.1161/CIRCULATIONAHA.104.501841. [DOI] [PubMed] [Google Scholar]
  • [56].Arias MA, Garcia-Rio F, Alonso-Fernandez A, Martinez I, Villamor J. Pulmonary hypertension in obstructive sleep apnoea: effects of continuous positive airway pressure: a randomized, controlled cross-over study. Eur Heart J. 2006;27:1106–13. doi: 10.1093/eurheartj/ehi807. [DOI] [PubMed] [Google Scholar]
  • [57].Ballester E, Badia JR, Hernandez L, Carrasco E, de Pablo J, Fornas C, et al. Evidence of the effectiveness of continuous positive airway pressure in the treatment of sleep apnea/hypopnea syndrome. Am J Respir Crit Care Med. 1999;159:495–501. doi: 10.1164/ajrccm.159.2.9804061. [DOI] [PubMed] [Google Scholar]
  • [58].Barbe F, Mayoralas LR, Duran J, Masa JF, Maimo A, Montserrat JM, et al. Treatment with continuous positive airway pressure is not effective in patients with sleep apnea but no daytime sleepiness. a randomized, controlled trial. Ann Intern Med. 2001;134:1015–23. doi: 10.7326/0003-4819-134-11-200106050-00007. [DOI] [PubMed] [Google Scholar]
  • [59].Barbe F, Duran-Cantolla J, Sanchez-de-la-Torre M, Martinez-Alonso M, Carmona C, Barcelo A, et al. Effect of continuous positive airway pressure on the incidence of hypertension and cardiovascular events in nonsleepy patients with obstructive sleep apnea: a randomized controlled trial. JAMA J Am Med Assoc. 2012;307:2161–8. doi: 10.1001/jama.2012.4366. [DOI] [PubMed] [Google Scholar]
  • [60].Barnes M, Houston D, Worsnop CJ, Neill AM, Mykytyn IJ, Kay A, et al. A randomized controlled trial of continuous positive airway pressure in mild obstructive sleep apnea. Am J Respir Crit Care Med. 2002;165:773–80. doi: 10.1164/ajrccm.165.6.2003166. [DOI] [PubMed] [Google Scholar]
  • [61].Becker HF, Jerrentrup A, Ploch T, Grote L, Penzel T, Sullivan CE, et al. Effect of nasal continuous positive airway pressure treatment on blood pressure in patients with obstructive sleep apnea. Circulation. 2003;107:68–73. doi: 10.1161/01.cir.0000042706.47107.7a. [DOI] [PubMed] [Google Scholar]
  • [62].Campos-Rodriguez F, Grilo-Reina A, Perez-Ronchel J, Merino-Sanchez M, Gonzalez-Benitez MA, Beltran-Robles M, et al. Effect of continuous positive airway pressure on ambulatory BP in patients with sleep apnea and hypertension: a placebo-controlled trial. Chest. 2006;129:1459–67. doi: 10.1378/chest.129.6.1459. [DOI] [PubMed] [Google Scholar]
  • [63].Chakravorty I, Cayton RM, Szczepura A. Health utilities in evaluating intervention in the sleep apnoea/hypopnoea syndrome. Eur Respir J. 2002;20:1233–8. doi: 10.1183/09031936.00.00014401. [DOI] [PubMed] [Google Scholar]
  • [64].Coughlin SR, Mawdsley L, Mugarza JA, Wilding JP, Calverley PM. Cardiovascular and metabolic effects of CPAP in obese males with OSA. Eur Respir J. 2007;29:720–7. doi: 10.1183/09031936.00043306. [DOI] [PubMed] [Google Scholar]
  • [65].Craig SE, Kohler M, Nicoll D, Bratton DJ, Nunn A, Davies R, et al. Continuous positive airway pressure improves sleepiness but not calculated vascular risk in patients with minimally symptomatic obstructive sleep apnoea: the MOSAIC randomised controlled trial. Thorax. 2012;67:1090–6. doi: 10.1136/thoraxjnl-2012-202178. [DOI] [PubMed] [Google Scholar]
  • [66].Diaferia G, Badke L, Santos-Silva R, Bommarito S, Tufik S, Bittencourt L. Effect of speech therapy as adjunct treatment to continuous positive airway pressure on the quality of life of patients with obstructive sleep apnea. Sleep Med. 2013;14:628–35. doi: 10.1016/j.sleep.2013.03.016. [DOI] [PubMed] [Google Scholar]
  • [67].Drager LF, Bortolotto LA, Figueiredo AC, Krieger EM, Lorenzi-Filho G. Continuous positive airway pressure therapy reverses the impaired arterial stiffness in normotensive patients with obstructive sleep apnea. Sleep Med. 2006;7:S14. [Google Scholar]
  • [68].Drager LF, Bortolotto LA, Figueiredo AC, Krieger EM, Lorenzi GF. Effects of continuous positive airway pressure on early signs of atherosclerosis in obstructive sleep apnea. Am J Respir Crit Care Med. 2007;176:706–12. doi: 10.1164/rccm.200703-500OC. [DOI] [PubMed] [Google Scholar]
  • [69].Duran-Cantolla J, Aizpuru F, Montserrat JM, Ballester E, Teran-Santos J, Aguirregomoscorta JI, et al. Continuous positive airway pressure as treatment for systemic hypertension in people with obstructive sleep apnoea: randomised controlled trial. BMJ. 2010;341:c5991. doi: 10.1136/bmj.c5991. [DOI] [PubMed] [Google Scholar]
  • [70].Engleman HM, Gough K, Martin SE, Kingshott RN, Padfield PL, Douglas NJ. Ambulatory blood pressure on and off continuous positive airway pressure therapy for the sleep apnea/hypopnea syndrome: effects in “non-dippers”. Sleep. 1996;19:378–81. doi: 10.1093/sleep/19.5.378. [DOI] [PubMed] [Google Scholar]
  • [71].Engleman HM, Martin SE, Deary IJ, Douglas NJ. Effect of CPAP therapy on daytime function in patients with mild sleep apnoea/hypopnoea syndrome. Thorax. 1997;52:114–9. doi: 10.1136/thx.52.2.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [72].Engleman HM, Martin SE, Kingshott RN, Mackay TW, Deary IJ, Douglas NJ. Randomised placebo controlled trial of daytime function after continuous positive airway pressure (CPAP) therapy for the sleep apnoea/hypopnoea syndrome. Thorax. 1998;53:341–5. doi: 10.1136/thx.53.5.341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [73].Engleman HM, Kingshott RN, Wraith PK, Mackay TW, Deary IJ, Douglas NJ. Randomized placebo-controlled crossover trial of continuous positive airway pressure for mild sleep apnea/hypopnea syndrome. Am J Respir Crit Care Med. 1999;159:461–7. doi: 10.1164/ajrccm.159.2.9803121. [DOI] [PubMed] [Google Scholar]
  • [74].Faccenda JF, Mackay TW, Boon NA, Douglas NJ. Randomized placebo-controlled trial of continuous positive airway pressure on blood pressure in the sleep apnea-hypopnea syndrome. Am J Respir Crit Care Med. 2001;163:344–8. doi: 10.1164/ajrccm.163.2.2005037. [DOI] [PubMed] [Google Scholar]
  • [75].Haensel A, Norman D, Natarajan L, Bardwell WA, Ancoli-Israel S, Dimsdale JE. Effect of a 2 week CPAP treatment on mood states in patients with obstructive sleep apnea: a double-blind trial. Sleep Breath. 2007;11:239–44. doi: 10.1007/s11325-007-0115-0. [DOI] [PubMed] [Google Scholar]
  • [76].Henke KG, Grady JJ, Kuna ST. Effect of nasal continuous positive airway pressure on neuropsychological function in sleep apnea-hypopnea syndrome. A randomized, placebo-controlled trial. Am J Respir Crit Care Med. 2001;163:911–7. doi: 10.1164/ajrccm.163.4.9910025. [DOI] [PubMed] [Google Scholar]
  • [77].Hoyos CM, Killick R, Yee BJ, Phillips CL, Grunstein RR, Liu PY. Cardiometabolic changes after continuous positive airway pressure for obstructive sleep apnoea: a randomised sham-controlled study. Thorax. 2012;67:1081–9. doi: 10.1136/thoraxjnl-2011-201420. [DOI] [PubMed] [Google Scholar]
  • [78].Hui DS, To KW, Ko FW, Fok JP, Chan MC, Ngai JC, et al. Nasal CPAP reduces systemic blood pressure in patients with obstructive sleep apnoea and mild sleepiness. Thorax. 2006;61:1083–90. doi: 10.1136/thx.2006.064063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [79].Jenkinson C, Davies RJ, Mullins R, Stradling JR. Comparison of therapeutic and subtherapeutic nasal continuous positive airway pressure for obstructive sleep apnoea: a randomised prospective parallel trial. Lancet. 1999;353:2100–5. doi: 10.1016/S0140-6736(98)10532-9. [DOI] [PubMed] [Google Scholar]
  • [80].Kaneko Y, Floras JS, Usui K, Plante J, Tkacova R, Kubo T, et al. Cardiovascular effects of continuous positive airway pressure in patients with heart failure and obstructive sleep apnea. N Engl J Med. 2003;348:1233–41. doi: 10.1056/NEJMoa022479. [DOI] [PubMed] [Google Scholar]
  • [81].Kushida CA, Nichols DA, Holmes TH, Quan SF, Walsh JK, Gottlieb DJ, et al. Effects of continuous positive airway pressure on neurocognitive function in obstructive sleep apnea patients: the Apnea Positive Pressure Long-term Efficacy Study (APPLES) Sleep. 2012;35:1593–602. doi: 10.5665/sleep.2226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [82].Lee IS, Bardwell W, Ancoli-Israel S, Loredo JS, Dimsdale JE. Effect of three weeks of continuous positive airway pressure treatment on mood in patients with obstructive sleep apnoea: a randomized placebo-controlled study. Sleep Med. 2012;13:161–6. doi: 10.1016/j.sleep.2011.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [83].Lozano L, Tovar JL, Sampol G, Romero O, Jurado MJ, Segarra A, et al. Continuous positive airway pressure treatment in sleep apnea patients with resistant hypertension: a randomized, controlled trial. J Hypertens. 2010;28:2161–8. doi: 10.1097/HJH.0b013e32833b9c63. [DOI] [PubMed] [Google Scholar]
  • [84].Mansfield DR, Gollogly NC, Kaye DM, Richardson M, Bergin P, Naughton MT. Controlled trial of continuous positive airway pressure in obstructive sleep apnea and heart failure. Am J Respir Crit Care Med. 2004;169:361–6. doi: 10.1164/rccm.200306-752OC. [DOI] [PubMed] [Google Scholar]
  • [85].Marshall NS, Neill AM, Campbell AJ, Sheppard DS. Randomised controlled crossover trial of humidified continuous positive airway pressure in mild obstructive sleep apnoea. Thorax. 2005;60:427–32. doi: 10.1136/thx.2004.032078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [86].Monasterio C, Vidal S, Duran J, Ferrer M, Carmona C, Barbe F, et al. Effectiveness of continuous positive airway pressure in mild sleep apnea-hypopnea syndrome. Am J Respir Crit Care Med. 2001;164:939–43. doi: 10.1164/ajrccm.164.6.2008010. [DOI] [PubMed] [Google Scholar]
  • [87].Montserrat JM, Ferrer M, Hernandez L, Farre R, Vilagut G, Navajas D, et al. Effectiveness of CPAP treatment in daytime function in sleep apnea syndrome: a randomized controlled study with an optimized placebo. Am J Respir Crit Care Med. 2001;164:608–13. doi: 10.1164/ajrccm.164.4.2006034. [DOI] [PubMed] [Google Scholar]
  • [88].Norman D, Loredo JS, Nelesen RA, Ancoli-Israel S, Mills PJ, Ziegler MG, et al. Effects of continuous positive airway pressure versus supplemental oxygen on 24-hour ambulatory blood pressure. Hypertension. 2006;47:840–5. doi: 10.1161/01.HYP.0000217128.41284.78. [DOI] [PubMed] [Google Scholar]
  • [89].Phillips CL, Yee BJ, Marshall NS, Liu PY, Sullivan DR, Grunstein RR. Continuous positive airway pressure reduces postprandial lipidemia in obstructive sleep apnea: a randomized, placebo-controlled crossover trial. Am J Respir Crit Care Med. 2011;184:355–61. doi: 10.1164/rccm.201102-0316OC. [DOI] [PubMed] [Google Scholar]
  • [90].Redline S, Adams N, Strauss ME, Roebuck T, Winters M, Rosenberg C. Improvement of mild sleep-disordered breathing with CPAP compared with conservative therapy. Am J Respir Crit Care Med. 1998;157:858–65. doi: 10.1164/ajrccm.157.3.9709042. [DOI] [PubMed] [Google Scholar]
  • [91].Robinson GV, Smith DM, Langford BA, Davies RJ, Stradling JR. Continuous positive airway pressure does not reduce blood pressure in nonsleepy hypertensive OSA patients. Eur Respir J. 2006;27:1229–35. doi: 10.1183/09031936.06.00062805. [DOI] [PubMed] [Google Scholar]
  • [92].Sharma SK, Agrawal S, Damodaran D, Sreenivas V, Kadhiravan T, Lakshmy R, et al. CPAP for the metabolic syndrome in patients with obstructive sleep apnea. N Engl J Med. 2011;365:2277–86. doi: 10.1056/NEJMoa1103944. [DOI] [PubMed] [Google Scholar]
  • [93].Simpson P, Hoyos CM, Celermajer D, Liu PY, Martin K. Continuous positive airway pressure does not improve circumlating progenitor cell counts or function in obstructive sleep Apnea: a randomised sham-controlled study. Circulation. 2012;126 Suppl Abstract 13730. [Google Scholar]
  • [94].Skinner MA, Kingshott RN, Jones DR, Taylor DR. Lack of efficacy for a cervicomandibular support collar in the management of obstructive sleep apnea. Chest. 2004;125:118–26. doi: 10.1378/chest.125.1.118. [DOI] [PubMed] [Google Scholar]
  • [95].Skinner MA, Kingshott RN, Filsell S, Taylor DR. Efficacy of the ‘tennis ball technique’ versus nCPAP in the management of position-dependent obstructive sleep apnoea syndrome. Respirology. 2008;13:708–15. doi: 10.1111/j.1440-1843.2008.01328.x. [DOI] [PubMed] [Google Scholar]
  • [96].Spicuzza L, Bernardi L, Balsamo R, Ciancio N, Polosa R, Di Maria G. Effect of treatment with nasal continuous positive airway pressure on ventilatory response to hypoxia and hypercapnia in patients with sleep apnea syndrome. Chest. 2006;130:774–9. doi: 10.1378/chest.130.3.774. [DOI] [PubMed] [Google Scholar]
  • [97].Tomfohr LM, Ancoli-Israel S, Loredo JS, Dimsdale JE. Effects of continuous positive airway pressure on fatigue and sleepiness in patients with obstructive sleep apnea: data from a randomized controlled trial. Sleep. 2011;34:121–6. doi: 10.1093/sleep/34.1.121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [98].von Kanel R, Loredo JS, Ancoli-Israel S, Dimsdale JE. Association between sleep apnea severity and blood coagulability: treatment effects of nasal continuous positive airway pressure. Sleep Breath. 2006;10:139–46. doi: 10.1007/s11325-006-0060-3. [DOI] [PubMed] [Google Scholar]
  • [99].Weinstock TG, Wang X, Rueschman M, Ismail-Beigi F, Aylor J, Babineau DC, et al. A controlled trial of CPAP therapy on metabolic control in individuals with impaired glucose tolerance and sleep apnea. Sleep. 2012;35:617–625B. doi: 10.5665/sleep.1816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [100].West SD, Nicoll DJ, Wallace TM, Matthews DR, Stradling JR. Effect of CPAP on insulin resistance and HbA1c in men with obstructive sleep apnoea and type 2 diabetes. Thorax. 2007;62:969–74. doi: 10.1136/thx.2006.074351. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES