Treatment Failure of Continuous Positive Airway Pressure (CPAP) in Patients With Obstructive Sleep Apnea Syndrome (OSA): A Trial Comparing Polysomnography and the Sunrise Device to Drive Treatment-Adjustment Decisions.
SUNCPAP
1 other identifier
interventional
105
0 countries
N/A
Brief Summary
The goal of this clinical trial is to determine whether treatment-adjustment decisions based on one night of home monitoring with the Sunrise device are comparable to decisions based on one night of in-laboratory polysomnography (PSG) in adults with obstructive sleep apnea (OSA) who remain insufficiently controlled with continuous positive airway pressure (CPAP) therapy. The main questions it aims to answer are:
- Do Sunrise-based assessments lead to similar therapeutic decisions as PSG-based assessments?
- Are residual apnea-hypopnea indices measured by Sunrise comparable to those measured by PSG? Participants will complete both assessment sequences in a randomized cross-over design. They will:
- Use the Sunrise device for several nights with and without CPAP.
- Undergo one night of PSG with and without CPAP.
- Have their CPAP therapy reviewed based on the results of each assessment method.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Apr 2026
Typical duration for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 30, 2026
CompletedStudy Start
First participant enrolled
April 1, 2026
CompletedFirst Posted
Study publicly available on registry
April 15, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 1, 2028
April 15, 2026
April 1, 2026
2.4 years
March 30, 2026
April 7, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Cohen's Kappa for Agreement Between Therapeutic Adjustment Decisions Based on Sunrise and Polysomnography (PSG)
Agreement between therapeutic adjustment decisions derived from Sunrise home recordings and in-lab polysomnography (PSG), quantified using Cohen's kappa coefficient. Two independent experts will provide decisions for each modality; disagreements will be resolved by consensus. The therapeutic decision is a three-category variable: No change in CPAP treatment, adjustment of CPAP pressure or change of mask, switch to servo-ventilation if residual events are predominantly central.
Within 1 night for each modality (Sunrise home recording and in-lab PSG).
Secondary Outcomes (3)
Cohen's Kappa for Agreement Between Therapeutic Adjustment Decisions Based on Three-Night Sunrise Recordings and Polysomnography (PSG)
Three consecutive home nights for Sunrise recordings and one in-lab PSG night.
Agreement Between PSG-Measured rAHI and Sunrise-Measured rAHI (One Night and Three Nights)
One in-lab PSG night; one or three consecutive home nights with Sunrise.
Inter-Rater Agreement Between the Two Independent Experts for Therapeutic Adjustment Decisions
One in-lab PSG night; one or three consecutive home nights with Sunrise.
Study Arms (2)
PSG-SUN
OTHERParticipants will first undergo an overnight, in-laboratory polysomnography (PSG) in the sleep center. After this in-lab recording period, they will complete an at-home sleep assessment using the Sunrise device over the predefined home recording period.
SUN-PSG
OTHERParticipants will first complete an at-home sleep assessment using the Sunrise device over the predefined home recording period. After this home recording period, they will undergo an overnight, in-laboratory polysomnography (PSG) in the sleep center.
Interventions
The Sunrise device is a single-use, mandibular movement-based sleep monitoring sensor designed to assess sleep architecture and respiratory events at home. In this study, Sunrise is evaluated as an alternative to in-laboratory polysomnography (PSG), which is considered the current gold-standard reference for sleep assessment.
Eligibility Criteria
You may qualify if:
- Adults aged 18 to 85 years
- Patients treated with Resmed CPAP
- Residual apnea-hypopnea index under CPAP (rAHI(CPAP) \> 10 events/hour)
- Access to a smartphone and home internet connection, and ability to use a mobile application
- Signed informed consent
- Affiliated with, or beneficiary of, a national health insurance program
You may not qualify if:
- Severe chronic obstructive or restrictive pulmonary disease, with or without supplemental oxygen
- Unstable cardiovascular disease or severe heart failure requiring hospitalization within the past 3 months, or meeting New York Heart Association (NYHA) class III or IV criteria
- Conditions affecting mandibular condyle rotation or temporomandibular joint function
- Refusal to shave excessive facial hair when required for proper placement of the Sunrise device
- Individuals who, in the investigator's judgment, are unlikely to comply with study procedures or requirements
- Individuals who cannot be contacted in case of emergency
- Persons protected under French Public Health Code articles L1121-5, L1121-6, and L1121-8 (including pregnant or breastfeeding women, persons deprived of liberty, individuals under psychiatric care under articles L.3212-1 or L.3213-1, individuals admitted to healthcare or social institutions for reasons other than research, and persons under legal protection or unable to provide informed consent)
- Staff members with a hierarchical relationship to the principal investigator
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Grenoblelead
- Polyclinique Saint Laurent - Rennescollaborator
Related Publications (15)
Sateia MJ. International classification of sleep disorders-third edition: highlights and modifications. Chest. 2014 Nov;146(5):1387-1394. doi: 10.1378/chest.14-0970.
PMID: 25367475BACKGROUNDBland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986 Feb 8;1(8476):307-10.
PMID: 2868172BACKGROUNDCassibba J, Aubertin G, Martinot JB, Le Dong N, Hullo E, Beydon N, Dupont-Athenor A, Mortamet G, Pepin JL. Analysis of mandibular jaw movements to assess ventilatory support management of children with obstructive sleep apnea syndrome treated with positive airway pressure therapies. Pediatr Pulmonol. 2024 Jul;59(7):1905-1911. doi: 10.1002/ppul.27005. Epub 2024 Apr 9.
PMID: 38593278BACKGROUNDMalhotra A, Martinot JB, Pepin JL. Insights on mandibular jaw movements during polysomnography in obstructive sleep apnea. J Clin Sleep Med. 2024 Jan 1;20(1):151-163. doi: 10.5664/jcsm.10830.
PMID: 37767856BACKGROUNDPepin JL, Le-Dong NN, Cuthbert V, Coumans N, Tamisier R, Malhotra A, Martinot JB. Mandibular Movements are a Reliable Noninvasive Alternative to Esophageal Pressure for Measuring Respiratory Effort in Patients with Sleep Apnea Syndrome. Nat Sci Sleep. 2022 Apr 13;14:635-644. doi: 10.2147/NSS.S346229. eCollection 2022.
PMID: 35444480BACKGROUNDPepin JL, Cistulli PA, Crespeigne E, Tamisier R, Bailly S, Bruwier A, Le-Dong NN, Lavigne G, Malhotra A, Martinot JB. Mandibular Jaw Movement Automated Analysis for Oral Appliance Monitoring in Obstructive Sleep Apnea: A Prospective Cohort Study. Ann Am Thorac Soc. 2024 May;21(5):814-822. doi: 10.1513/AnnalsATS.202312-1077OC.
PMID: 38330168BACKGROUNDKelly JL, Ben Messaoud R, Joyeux-Faure M, Terrail R, Tamisier R, Martinot JB, Le-Dong NN, Morrell MJ, Pepin JL. Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography. Front Neurosci. 2022 Mar 15;16:726880. doi: 10.3389/fnins.2022.726880. eCollection 2022.
PMID: 35368281BACKGROUNDAlsaif SS, Douglas W, Steier J, Morrell MJ, Polkey MI, Kelly JL. Mandibular movement monitor provides faster, yet accurate diagnosis for obstructive sleep apnoea: A randomised controlled study. Clin Med (Lond). 2024 Jul;24(4):100231. doi: 10.1016/j.clinme.2024.100231. Epub 2024 Jul 22.
PMID: 39047815BACKGROUNDPepin JL, Woehrle H, Liu D, Shao S, Armitstead JP, Cistulli PA, Benjafield AV, Malhotra A. Adherence to Positive Airway Therapy After Switching From CPAP to ASV: A Big Data Analysis. J Clin Sleep Med. 2018 Jan 15;14(1):57-63. doi: 10.5664/jcsm.6880.
PMID: 29198291BACKGROUNDMidelet A, Borel JC, Tamisier R, Le Hy R, Schaeffer MC, Daabek N, Pepin JL, Bailly S. Apnea-hypopnea index supplied by CPAP devices: time for standardization? Sleep Med. 2021 May;81:120-122. doi: 10.1016/j.sleep.2021.02.019. Epub 2021 Feb 16.
PMID: 33667996BACKGROUNDBottaz-Bosson G, Midelet A, Mendelson M, Borel JC, Martinot JB, Le Hy R, Schaeffer MC, Samson A, Hamon A, Tamisier R, Malhotra A, Pepin JL, Bailly S. Remote Monitoring of Positive Airway Pressure Data: Challenges, Pitfalls, and Strategies to Consider for Optimal Data Science Applications. Chest. 2023 May;163(5):1279-1291. doi: 10.1016/j.chest.2022.11.034. Epub 2022 Dec 2.
PMID: 36470417BACKGROUNDPepin JL, Bailly S, Rinder P, Adler D, Szeftel D, Malhotra A, Cistulli PA, Benjafield A, Lavergne F, Josseran A, Tamisier R, Hornus P, On Behalf Of The medXcloud Group. CPAP Therapy Termination Rates by OSA Phenotype: A French Nationwide Database Analysis. J Clin Med. 2021 Mar 1;10(5):936. doi: 10.3390/jcm10050936.
PMID: 33804319BACKGROUNDLiu D, Armitstead J, Benjafield A, Shao S, Malhotra A, Cistulli PA, Pepin JL, Woehrle H. Trajectories of Emergent Central Sleep Apnea During CPAP Therapy. Chest. 2017 Oct;152(4):751-760. doi: 10.1016/j.chest.2017.06.010. Epub 2017 Jun 16.
PMID: 28629918BACKGROUNDLevy P, Kohler M, McNicholas WT, Barbe F, McEvoy RD, Somers VK, Lavie L, Pepin JL. Obstructive sleep apnoea syndrome. Nat Rev Dis Primers. 2015 Jun 25;1:15015. doi: 10.1038/nrdp.2015.15.
PMID: 27188535BACKGROUNDBenjafield AV, Ayas NT, Eastwood PR, Heinzer R, Ip MSM, Morrell MJ, Nunez CM, Patel SR, Penzel T, Pepin JL, Peppard PE, Sinha S, Tufik S, Valentine K, Malhotra A. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med. 2019 Aug;7(8):687-698. doi: 10.1016/S2213-2600(19)30198-5. Epub 2019 Jul 9.
PMID: 31300334BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 30, 2026
First Posted
April 15, 2026
Study Start
April 1, 2026
Primary Completion (Estimated)
September 1, 2028
Study Completion (Estimated)
September 1, 2028
Last Updated
April 15, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share