Clinical impact of customised positive airway pressure (PAP) therapy interfaces versus usual care in the treatment of patients with sleep-disordered breathing (3DPiPPIn): a randomised controlled trial protocol (2024)

Log In More

Log in via Institution
Log in via OpenAthens

Log in using your username and password
Basket
Search More

Advanced search

Latest content
Archive
For authors
About
Browse by collection

Advanced search

CloseMore
Main menu

Latest content
Archive
For authors
About
Browse by collection
Log in More

Log in via Institution
Log in via OpenAthens

Log in using your username and password
BMJ Journals

Abstract

Introduction Sleep-disordered breathing affects 1.6 million people in the UK. The recognised treatment is positive airway pressure (PAP) therapy, delivered via a generic conventional interface (mask). PAP therapy improves morbidity, mortality and quality of life, but treatment effectiveness depends on interface fit and tolerance. Interface side effects include pressure ulcers, skin reactions and interface leak. Three-dimensional (3D) printing is an innovative technology that can produce customised interfaces.

Aims The primary aim is to assess the impact of customised versus conventional interfaces on residual Apnoea Hypopnea Index at 6 months.

Methods and analysis This is a randomised control trial via block randomisation, minimised by age >65 and ethnicity, using a computerised random number generator. Patients with sleep-disordered breathing under the care of the Royal Free London NHS Foundation Trust will be recruited. Patients new to therapy will be randomised to customised interface or conventional interface for 6 months. A sample size of 160 is required for 80% power with a significance of 5%, accounting for a 20% dropout rate. Descriptive statistics will report demographics. The primary and secondary outcomes will be compared using linear regression adjusted for baseline score.

Ethics and dissemination This protocol has been approved by the Hampshire B Research Ethics Committee (REC reference: 22/SC/0405). Results will be disseminated to healthcare professionals and patients through conferences, open-access journals, newsletters, a study webpage, infographics, animations, social media and healthcare awards.

ISRCTN registration number 74082423.

Sleep medicine
Randomized Controlled Trial
Health informatics

https://creativecommons.org/licenses/by/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:https://creativecommons.org/licenses/by/4.0/.

https://doi.org/10.1136/bmjopen-2024-087234

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Sleep medicine
Randomized Controlled Trial
Health informatics

STRENGTHS AND LIMITATIONS OF THIS STUDY

The randomised control trial design enhances the reliability of findings by reducing selection bias.
Block randomisation minimised by age and ethnicity ensures a balanced representation of these variables, which are most likely to affect facial geometries across treatment groups.
The well-defined target population ensures that results will apply to patients with sleep-disordered breathing.
The lack of blinding and the single-site design could introduce bias in assessing outcomes.
It has not been possible to include a health economics assessment due to the constraints of funding.

Introduction

Sleep-disordered breathing (SDB) is a term encompassing conditions including obstructive sleep apnoea (OSA), complex sleep apnoea and chronic ventilatory failure. Chronic ventilatory failure is commonly caused by chronic obstructive pulmonary disease, obesity-related respiratory failure, neuromuscular disease and chest wall deformity. Symptoms of SDB are multiple and include excessive daytime sleepiness, headaches, impaired cognition, breathlessness, sleep disturbance, nocturia, fatigue, memory loss and reduced libido.1 Untreated SDB increases the risk of cardiovascular events and is associated with more frequent healthcare utilisation, including hospital admissions.1 Additionally, untreated SDB influences societal factors, such as quality of life (QoL), road traffic accidents and productivity.1 A measure of severity in SDB is the Apnoea Hypopnea Index (AHI). Both continuous positive airway pressure (CPAP) and non-invasive ventilation (NIV), collectively referred to as positive airway pressure (PAP), can treat SDB and are crucial to improving patients’ QoL and health-related outcomes. PAP therapy is administered via a tight-fitting mask (interface) attached to the patient’s face. Outcomes such as residual AHI are critical clinical measures of PAP therapy effectiveness for individual patients.

The effectiveness of PAP therapy depends on how well the interface fits the user. Interface leak has been found to cause ineffective ventilation, high residual AHI, persistent nocturnal desaturations and treatment failure.2–4 Pressure ulcers are also a documented side effect of PAP therapy, which can impact the ability to concord with treatment.5

Interfaces are currently limited to conventional interfaces supplied by PAP device manufacturers, which come in limited sizes (small, medium large) and do not consider different facial geometries. Thus, ineffective therapy due to a lack of interface fit is commonly observed. Impaired effectiveness or poor treatment tolerance can reduce QoL, potentially affecting morbidity and mortality and escalating healthcare utilisation.

Three-dimensional (3D) printing is a pioneering technology, which has been used in a range of clinical environments. Several investigators have considered using 3D printing in developing customised interfaces. Case studies6–11 in paediatric patients demonstrated a significant reduction in interface leak with improved compliance, effectiveness of PAP therapy (reduced residual AHI) and health-related QoL. Hsu et al12 undertook a feasibility study with 40 participants comparing conventional and customised interfaces. They reported less headgear force was required in the customised group, which resulted in better comfort scores. A small (n=6) crossover study13 evaluated the feasibility of 3D-printed customised nasal interfaces and found interface leak comparable between customised and conventional interfaces. Additionally, they reported that the customised interfaces could deliver the required PAP therapy pressures. Similarly, Cheng et al14 assessed a customised nasal interface developed using 3D printing technology against a conventional cushion and reported a lower residual AHI in the customised interface. However, these studies are limited to a single ethnicity group, in those with OSA alone or very specific patient groups (paediatrics with facial deformities), meaning the results are not generalisable. Furthermore, research to date has only considered short-term outcomes.

This project aims to develop and assess the clinical utility of 3D printing to customise PAP therapy interfaces.

Research question

What is the clinical impact of customised PAP therapy interfaces versus conventional interfaces in the treatment of patients with SDB?

Hypothesis

This study hypothesises that customised interfaces will result in greater improvements in residual AHI compared with conventional interfaces, with better PAP concordance due to reduced discomfort and side effects.

Primary research objective

A randomised controlled trial (RCT) to assess medium-term clinical effectiveness of customised interfaces versus conventional interfaces as assessed by the primary outcome of residual AHI (worse of two nights measured by cardiorespiratory sleep study) at the primary endpoint of 6 months.

Secondary research objectives

To assess the clinical impact of customised interfaces on interface fit (leak), concordance with PAP therapy and symptoms compared with conventional interfaces.

Methods and analysis

Patient and public involvement

Service users were actively involved in the research design; specifically, they provided feedback on the proposed methodologies and dissemination plan and coproduced the lay summary. They reviewed and completed all the intended outcome measures. Participants provided feedback and ideas on reducing the burden of participating in research and codesigned the recruitment strategy. A patient/public advisory group will meet quarterly to provide input into the conduct of the trial.

Study design

RCT, with patients randomised by block randomisation, minimised by age (<65, ≥65) and ethnicity (Caucasian, Asian and Black), to customised interface or conventional interface, by a computerised random number generator. The primary outcome is residual AHI at the primary end point of 6 months. Based on clinical expertise and published research, ethnicity and age are the biggest factors affecting facial geometry15 16 and thus have been included in the stratification.

Patient entry

Patients will be recruited from those under the care of the sleep and ventilation service at the Royal Free London NHS Foundation Trust (RFL), United Kingdom (UK). The RCT has been designed as a pragmatic trial and is embedded into the existing clinical pathways.

Inclusion criteria

Diagnosis of sleep discorded breathing: AHI≥15.
Patients naive to domiciliary PAP therapy.
Age ≥18 years.

Exclusion criteria

AHI <15.
Excessive facial hair which they are unwilling to shave.
Age <18 years.
Existing facial pressure ulcers.
Unable to provide informed consent.
Known allergy to silicone.
Keloid scarring.
Previous domiciliary PAP therapy.

Withdrawal and stopping criteria

Participants will have the right to withdraw from the study at any time without providing a reason. Any data already collected will remain in the study.

Data management

Sample size

A sample size of 160, with 80 per group, is required for a power of 80%, with a significance of 5%, assuming an effect size of 0.50 and allowing for a 20% dropout rate. The effect size was determined using data from previously published research14 compared with a cohort of randomly selected patients under the care of RFL. This method ensured that the power calculation was relevant to a United Kingdom (UK) population.

Analysis

Descriptive statistics will be used to report patient demographics. The hypothesis will be tested by comparing the difference between the groups in residual AHI (the primary outcome) at the primary endpoint (6 months) using linear regression adjusting for score at baseline and stratification variables (age as a binary variable and ethnicity) on an intention-to-treat basis. Residual AHI has been chosen as the primary outcome measure as, where interface fit is poor, residual AHI has been shown to be high. Furthermore, it is a measure of treatment effectiveness, which can be used for both CPAP and NIV. The pros and cons of each potential primary outcome measure were discussed with PPI workshop attendees who agreed AHI was a suitable and acceptable primary outcome. AHI will be measured for two nights via a home-based cardiorespiratory sleep study, and the worst (higher AHI) of the two nights will be used. The analyses will be repeated using the 3-month results as a secondary outcome measure.

For secondary outcome measures, differences between groups will be compared using linear regression adjusting for respective scores at baseline and stratification variables. The analyses will be repeated using the results at 3 months.

The interface questionnaire will be analysed using descriptive statistics, bivariate analysis and ordinal regression. Dropout rates between groups will be compared using a χ² test. The analyses will be repeated using the results at 3 months.

Statistical software

Data will be collected in a RedCap database. Data will be analysed using Excel, SPSS and R.

Trial design

Screening and recruitment

The principal investigator will screen potential participants from patients referred to the RFL sleep and ventilation service. Those whose initial sleep study results in an AHI≥15 will be considered for screening into the study. Screening data will be collected using the SEAR (screened, eligible, approached, randomised) framework.17 Demographic information on patients screened for the trial will include age, gender, ethnicity, screening ID and initials. Inclusion and exclusion criteria information will be collected using the electronic case report form (CRF) (collected via the RedCap Database), which allows the identification of ineligible participants and reasons for ineligibility. The date the trial was discussed and written information was provided to potential participants, as well as reasons for non-approach, will be recorded in the electronic CRF (collected by the RedCap database). Where participants decline to participate in the trial, their reason for refusal and subsequent treatment received will be collected using the electronic CRF (collected via the RedCap Database).

Patients will be identified as potential candidates at several points in the pathway depending on their diagnosis and the clinical pathway. Many patients will have completed a home-based cardiorespiratory sleep study, where patients have already provided permission to contact and are on the academic respiratory medicine permission to contact database, they will be sent the invitation letter and participants’ information sheet via their preferred method of contact. A follow-up phone call will be scheduled with a member of the research team. Where the patient has not already given permission to contact, a clinical appointment will be scheduled to explain their sleep study results and offer them the opportunity to participate in the trial.

The trial will be promoted via a trial website and social media. Posters will be displayed in appropriate clinical areas.

Baseline assessments

The following demographic and baseline data will be reported:

Age.
Ethnicity.
Sex.
Primary sleep-disordered breathing diagnosis.
Pre-existing relevant medical history.
Pre-existing relevant medication.
Smoking status.
Alcohol consumption.
Baseline Epworth Sleepiness Score (ESS).18
Sleepiness-Wakefulness Inability and Fatigue Test (SWIFT) questionnaire.19
S3 Non-Invasive Ventilation (S3NIV).20
Baseline AHI.
Baseline body mass index.
Baseline respiratory rate.
Baseline SpO₂^.
Baseline Waterlow score.
Rockwood Frailty score.

Assessment

Measurement of the primary outcome at the primary endpoint—residual AHI at 6 months, will be assessed through a two-night home-based cardiorespiratory sleep study. The minimally clinically important difference for AHI has been proposed as five events/hour,1 but this has not been assessed in trials or clinical practice. A residual AHI of ≤7 events/hour has been found to indicate good control of SDB.21 22 AHI has been found to have some night-to-night variability in patients with mild and severe OSA,23 but this has only been investigated during diagnostics and not in response to PAP therapy. To navigate this issue, patients will undertake a home-based limited cardiorespiratory sleep study at baseline, 3 and 6 months to reassess AHI, with the worst (higher AHI) of the two nights being recorded.

Collecting the following measurements will facilitate the assessment of secondary outcome measures:

Interface leak, measured as average L/min and percentage of intentional leak over 7 days from PAP therapy data downloads at 3 months and 6 months.
Residual AHI will be measured using PAP therapy data downloads for further validation of AHI, while others have investigated the reliability of PAP therapy data downloads,21 22 the software and devices used in this study have not been tested.
Incidence of pressure ulcers measured by the European Pressure Ulcer Advisory Panel score (0 to 4).24
Compliance with PAP therapy, measured as hours and percentage of days PAP therapy used >4 hours/night over 28 days, measured at 3 months and 6 months in concordance with internationally recognised definitions of compliance.
Symptoms measured by the ESS and SWIFT measured at baseline, 3 months and 6 months. The ESS measures daytime sleepiness; the SWIFT measures both sleepiness and fatigue.
Comfort as measured by the S3NIV questionnaire and the previously piloted interface questionnaire at baseline, 3 months and 6 months. The S3NIV questionnaire measures respiratory symptoms, sleep quality and PAP therapy-related side effects.

Intervention device

The device will be a 3D-printed customised oronasal mask designed to be used with PAP therapy. The mask will be created using a 3D scanner, which captures a digital impression of the patient’s face; CAD will be used to create a mould, which will then be 3D printed, with the mould then used to make the mask. The part of the mask in contact with the participants’ skin will be silicon-based.

Comparator device

Conventional PAP masks will be used in the usual care group. An expert clinician will make a clinical assessment of the fit and decide on the conventional mask. They will all be full face masks. Depending on procurement and supply chain, a range of full-face masks will be utilised.

The PAP devices used will be CE/UKCA marked devices. A range of devices will be used depending on procurement and supply chain. Where feasible, the same manufacturer will be used throughout the study to ensure consistency in the data collected from the PAP devices.

The devices used in the manufacturing process will include the 3D scanner, Revopoint POP 2 (Revopoint, Hong Kong). A range of 3D printers will be used to ensure the sustainability of the research. This includes stereolithography printers (Form 3, FormLabs, Germany), selective laser sintering printers (Lisa Pro, Sinterit, Poland and Fuse 30+, FormLabs, Germany) and Polyjet printers (Object 260, Stratasys).

Intervention

Table 1 displays the schedule of assessment and interventions by visit. Participant randomisation will be undertaken centrally by the coordinating trial team site using Sealed Envelope: https://www.sealedenvelope.com

View this table:

View inline
View popup

Table 1

Schedule of assessments and interventions by visit

A 3D scan using a hand-held scanner of all participants’ faces will be collected for participants in both groups.

Those in the control arm will be fitted with a conventional PAP therapy mask and undergo an initial 10 min trial of PAP therapy to assess for mask leak, skin reactions and comfort scores. Once an acceptable mask is fitted, patients will go on to have PAP therapy as per their regular PAP regime. An additional visit (visit 1a) will be required for those in the intervention arm once their customised mask has been manufactured. Participants will undergo an initial 10 min trial of PAP therapy with the customised mask to assess for mask leak, skin reactions and comfort scores. If there are no serious adverse events (SAEs)/reactions during the PAP trial with the 3D-printed mask, patients will go on to have PAP therapy as per their normal PAP regime.

Ethics and dissemination

Ethics

This protocol has been reviewed by the Hampshire B Research Ethics Committee (REC reference: 22/SC/0405), who have granted a favourable ethical opinion.

Consent

Participants who are unable to provide informed consent are excluded from the study. The research team will obtain consent before the study baseline measurements and after the participant’s information sheet review. Potential participants will be given a minimum of 24 hours to consider if they wish to participate in the study. Consent will be obtained from participants who are non-English-speaking using a translator.

Confidentiality

All data will be handled in accordance with the General Data Protection Regulation V.2018. Data collected will be password protected and only accessible by the research team.

Facial scans will be transferred securely from RFL to University College London (UCL) utilising nhs.net secure email. All members of the investigatory team who will need to access the facial scans of the participants will be provided with a nhs.net email account. Facial scans will be kept securely on UCL computers, password protected, and only accessible to the investigation team. Copies of facial scans will not be stored on UCL computers after the duration of the study and will be archived in accordance with UCL policy. Participants will give consent for the transfer of the facial scans and for their facial scans to be stored on UCL and RFL computer systems during the trial. Facial scans will not be used in any publications or other dissemination without participants’ prior explicit consent. The RFL Caldecott Guardian approved this protocol.

Sponsor

University College London Joint Research Office will act as the sponsor.

Audits and inspection

Trial-related monitoring, audits, Research Ethics Committee review and regulatory inspections will be conducted in line with UK policy framework for health and social care research.25

Trial closure

The end of the trial will be on completion of 160 participants consented and completion of the primary end point.

The trial will be suspended for investigations in the following circumstances:

· If a SAE is noted in 20% or more of the participants

Trial management

A trial management group will monitor all aspects of the conduct and progress of the trial, ensure the protocol is adhered to and take appropriate action to safeguard participants in the quality of the trial. The trial steering committee (TSC) will provide overall supervision of the trial and ensure it is conducted in accordance with the principles of good clinical practice and the relevant regulations. The TSC will meet 6 monthly during the time of the trial. A Data Management and Ethics Committee will meet annually to provide oversight on the need for any interim analysis and ensure participants’ safety by reviewing recruitment, adverse events and trial completion rates.

Publication policy

The results of this clinical investigation will be submitted for publication as an abstract at appropriate conferences and as a journal article to appropriate journals. Authorship will be determined in concordance with the International Committee of Medical Journal Editors authorship guidelines and UCL publication policy.

Timelines

The trial start date was January 2023, with an end date of May 2025 and anticipated publication date of December 2025.

Discussion

The need for research focusing on developing patient-specific interfaces for PAP therapy that are acceptable to patients and avoid side effects such as leaks, pressure ulcers and ineffective PAP therapy has been recognised as a priority.26 The outcomes of this study will inform the sleep and ventilation community on the prospects of customised interfaces for PAP therapy. The outcomes from this trial could inform the design and manufacturing processes of future customised PAP therapy interfaces and support future trial conduct. Secondary outcomes and the assessment and diagnostic data from this trial could prove helpful in informing the sleep and ventilation community on the ongoing care and management of patients with SDB.

There are limitations to this trial. It is only feasible to assess medium-term (6-month) outcomes within the scope of the secured funding. Furthermore, due to the scope of the funding, it is not possible to blind assessors. The interventional nature of the trial design means it is not possible to blind participants. This is a single-site study, which is a further limitation potentially reducing the generalisability of the results. It has not been possible to include a health economics assessment due to the constraints of the secured funding. PPI groups have expressed frustration at the limitation of providing customised masks within a clinical trial and that due to regulations, the customised masks cannot be utilised outside of the clinical trial. It was not feasible or necessary (as agreed by the sponsor and the research site) for this clinical trial to be registered with the Medicine and Health Care Products Regulatory Agency. Thus, the results of this research cannot be used towards regulatory approval.

Ethics statements

Patient consent for publication

Not applicable.

Acknowledgments

The authors would like to acknowledge the support of the Associate Principal Investigators via the NIHR Associate Principal Investigator Scheme: Lynne McDonnell and Nneoma Okoli. The authors would like to acknowledge the support of the clinical trials administrators (Sharon Augustt and Sint Sint) and Research Portfolio Manager (Tolu Williams) at the Royal Free London NHS Foundation Trust.

References

↵
1. National Institute for Health and Care Excellence
. Obstructive sleep apnoea/hypopnoea syndrome and obesity hypoventilation syndrome in over 16s. National Institute for Health and Care Excellence; 2021.
↵
2. Gonzalez-Bermejo J,
3. Morelot-Panzini C,
4. Arnol N, et al
. Prognostic value of efficiently correcting nocturnal desaturations after one month of non-invasive ventilation in amyotrophic lateral sclerosis: A retrospective monocentre observational cohort study. Amyotroph Later Scler Frontotemp Degener 2013;14:373–9. doi:10.3109/21678421.2013.776086
OpenUrl
↵
2. Boentert M,
3. Brenscheidt I,
4. Glatz C, et al
. Effects of non-invasive ventilation on objective sleep and nocturnal respiration in patients with amyotrophic lateral sclerosis. J Neurol 2015;262:2073–82. doi:10.1007/s00415-015-7822-4
OpenUrlCrossRefPubMed
↵
2. Schellhas V,
3. Glatz C,
4. Beecken I, et al
. Upper airway obstruction induced by non-invasive ventilation using an oronasal interface. S B 2018;22:781–8. doi:10.1007/s11325-018-1640-8
OpenUrl
↵
2. Elliott MW
. The interface: crucial for successful noninvasive ventilation. Eur Respir J 2004;23:7–8. doi:10.1183/09031936.03.00115903
OpenUrlFREE Full Text
↵
Personalized 3D-printed CPAP masks improve CPAP effectiveness in children with OSA and craniofacial anomalies. Comb Otolaryngol Spring Meet April 2015.
↵
2. Carroll A,
3. Amirav I,
4. Marchand R, et al
. Three-dimensional modeled custom-made noninvasive positive pressure ventilation masks in an infant. Am J Respir Crit Care Med 2014;190:950–50. doi:10.1164/rccm.201407-1357IM
OpenUrl
↵
2. Simpson R,
3. Pascoe J,
4. Letcher J, et al
. Customized, 3D-Printed Nasal Masks for the Delivery of Noninvasive Positive Airway Pressure in Patients with Obstructive Sleep Apnea, Preliminary Findings. A69 SRN: CLINICAL AND PHYSIOLOGICAL INSIGHTS INTO THE MANAGEMENT OF SDB. Am Thorac Soc 2020;A2433–A33.
↵
2. Bockstedte M,
3. Xepapadeas AB,
4. Spintzyk S, et al
. Development of Personalized Non-Invasive Ventilation Interfaces for Neonatal and Pediatric Application Using Additive Manufacturing. J Pers Med 2022;12:604. doi:10.3390/jpm12040604
↵
2. Borràs-Novell C,
3. Causapié MG,
4. Murcia M, et al
. Development of a 3D Individualized Mask for Neonatal Non-Invasive Ventilation. Int J Bioprint 2022;8:516. doi:10.18063/ijb.v8i2.516
↵
2. Martín-Gónzález A,
3. Morrás de la Torre B,
4. Bergon-Sendin E, et al
. Feasibility of three-dimensional nasal imaging and printing in producing customized nasal masks for non-invasive ventilation in extremely low birth weight infant: A pilot study. Int J Bioprint 2023;9:627. doi:10.18063/ijb.v9i1.627
↵
2. Hsu D-Y,
3. Cheng Y-L,
4. Bien M-Y, et al
. Development of a method for manufacturing customized nasal mask cushion for CPAP therapy. Australas Phys Eng Sci Med 2015;38:657–64. doi:10.1007/s13246-015-0383-0
OpenUrl
↵
2. Duong K,
3. Glover J,
4. Perry AC, et al
. Feasibility of three-dimensional facial imaging and printing for producing customised nasal masks for continuous positive airway pressure. ERJ Open Res 2021;7:00632-2020. doi:10.1183/23120541.00632-2020
↵
2. Cheng YL,
3. Hsu DY,
4. Lee HC, et al
. Clinical verification of patients with obstructive sleep apnea provided with a customized cushion for continuous positive airway pressure. J Prosthet Dent 2015;113:29–34. doi:10.1016/j.prosdent.2014.01.030
OpenUrl
↵
2. Farkas LG,
3. Eiben OG,
4. Sivkov S, et al
. Anthropometric measurements of the facial framework in adulthood: age-related changes in eight age categories in 600 healthy white North Americans of European ancestry from 16 to 90 years of age. J Craniofac Surg 2004;15:288–98. doi:10.1097/00001665-200403000-00027
OpenUrlCrossRefPubMedWeb of Science
↵
2. Farkas LG,
3. Katic MJ,
4. Forrest CR, et al
. International anthropometric study of facial morphology in various ethnic groups/races. J Craniofac Surg 2005;16:615–46. doi:10.1097/01.scs.0000171847.58031.9e
OpenUrlCrossRefPubMedWeb of Science
↵
2. Wilson C,
3. Rooshenas L,
4. Paramasivan S, et al
. Development of a framework to improve the process of recruitment to randomised controlled trials (RCTs): the SEAR (Screened, Eligible, Approached, Randomised) framework. Trials 2018;19:50. doi:10.1186/s13063-017-2413-6
OpenUrlPubMed
↵
2. 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
OpenUrlCrossRefPubMedWeb of Science
↵
2. Sangal RB
. Evaluating sleepiness-related daytime function by querying wakefulness inability and fatigue: Sleepiness-Wakefulness Inability and Fatigue Test (SWIFT). J Clin Sleep Med 2012;8:701–11. doi:10.5664/jcsm.2270
OpenUrl
↵
2. Adler D,
3. Dupuis-Lozeron E,
4. Gex G, et al
. Development and Validation of a Simple Tool for Clinical Assessment of Patients Treated with Home NIV:The S3-NIV questionnaire. Eur Respir Soc 2017.
↵
2. Fernandez Alvarez R,
3. Rabec C,
4. Rubinos Cuadrado G, et al
. Monitoring Noninvasive Ventilation in Patients with Obesity Hypoventilation Syndrome: Comparison between Ventilator Built-in Software and Respiratory Polygraphy. Respir 2017;93:162–9. doi:10.1159/000454954
OpenUrl
↵
2. Aarrestad S,
3. Qvarfort M,
4. Kleiven AL, et al
. Diagnostic accuracy of simple tools in monitoring patients with chronic hypoventilation treated with non-invasive ventilation; a prospective cross-sectional study. Respir Med 2018;144:30–5. doi:10.1016/j.rmed.2018.09.015
OpenUrl
↵
2. Sforza E,
3. Roche F,
4. Chapelle C, et al
. Internight Variability of Apnea-Hypopnea Index in Obstructive Sleep Apnea Using Ambulatory Polysomnography. Front Physiol 2019;10:849. doi:10.3389/fphys.2019.00849
↵
1. European Pressure Ulcer Advisory Panel
. Guidelines on Treatment of Pressure Ulcers. EPUAP Review, 1999:31–3.
↵
1. Health Research Authority
. UK policy framework for health and social care research HRA.NHS.uk. Health research authority 2022.
↵
2. Argent AC
. Noninvasive Ventilatory Support: The Detail Lies in the Interface. Respir Care 2015;60:1708–10. doi:10.4187/respcare.04492
OpenUrlFREE Full Text

Footnotes

X @skmansell, @frankigowing, @MainEleanor
Contributors Conceptualisation: SKM. Methodology: SKM, CK, EM, SS, EM, SH, DR, OO. Resources: SKM, FG, OO. Data curation: SKM, FG, DR. Writing—original draft: SKM, writing—review and editing: all authors. Supervision: SSM, EM, SS, SH, CK, DR. Project administration: FG, SKM. Funding acquisition: all authors. Guarantor: SS.
Funding This project is funded by the NIHR Doctoral Fellowship (NIHR award: 302337). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.
Competing interests SKM: consultancy for Philips Respironics, educational grants from Philips Respironics and Dolby Vivisol, Research grants from Philips Respironics. SM: consultancy for Philips Respironics, educational grants from Dolby Vivisol.
Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
Provenance and peer review Not commissioned; externally peer-reviewed.

Clinical impact of customised positive airway pressure (PAP) therapy interfaces versus usual care in the treatment of patients with sleep-disordered breathing (3DPiPPIn): a randomised controlled trial protocol (2024)

Log in using your username and password

Main menu

Log in using your username and password

You are here

Abstract

Statistics from Altmetric.com

Request Permissions

STRENGTHS AND LIMITATIONS OF THIS STUDY

Introduction

Research question

Hypothesis

Primary research objective

Secondary research objectives

Methods and analysis

Patient and public involvement

Study design

Patient entry

Inclusion criteria

Exclusion criteria

Withdrawal and stopping criteria

Data management

Sample size

Analysis

Statistical software

Trial design

Screening and recruitment

Baseline assessments

Assessment

Intervention device

Comparator device

Intervention

Ethics and dissemination

Ethics

Consent

Confidentiality

Sponsor

Audits and inspection

Trial closure

Trial management

Publication policy

Timelines

Discussion

Ethics statements

Patient consent for publication

Acknowledgments

References

Footnotes

Read the full text or download the PDF:

Log in using your username and password

References