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Active, not recruitingNCT07406620EPPOSAUpdated Aug 10, 2026

Entropy-based Physiological Signal Analysis in Patients With Obstructive Sleep Apnoea

An observational study in Obstructive Sleep Apnoea (OSA), sponsored by King's College London. Active, not recruiting at 2 sites in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-10.

Sponsored by King's College London · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
139
Ages
18 Years and older
Sex
All
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Study summary

This observational study is being undertaken as a part of a Master of Research (MRes) in Clinical Research programme.

Its goal is to learn about how continuous positive airway pressure (CPAP) therapy changes the complexity of body signals in adults with obstructive sleep apnoea (OSA). The main question it aims to answer is:

- How does the complexity of physiological signals (specifically oxygen saturation, heart rate, and heart rate variability) change in adults with OSA from before to after three and six months of CPAP treatment?

It will use data from individuals who took part in an earlier trial, called 3DPiPPIn, which tested the use of 3D-printed, customised masks CPAP masks through sleep studies.

Read the detailed description

The purpose of this MRes student study is primarily to examine how the entropy, or complexity as measured by entropy, of physiological signals changes in patients with obstructive sleep apnoea (OSA) in response to continuous positive airway pressure (CPAP) therapy.

It is a secondary analysis of data from 3DPiPPIn, a randomised control trial investigating the feasibility of using 3D-printing to develop customised masks for patients receiving positive airway pressure (PAP) therapy.

The hypothesis for this study is that entropy-based measures derived from physiological signals will exhibit changes following CPAP therapy, when compared to pre-therapy measures, reflecting the modulation and restoration of physiological systems that were previously disrupted by OSA.

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Conditions studied

  • Obstructive Sleep Apnoea (OSA)

Keywords

  • Obstructive Sleep Apnoea
  • OSA
  • Continous Positive Airway Pressure
  • CPAP
  • Entropy
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In context

Sleep Apnea, Obstructive

2,198 studies on the registry are indexed under Sleep Apnea, Obstructive; 468 are open to participants now.

This study's planned enrollment of 139 is above the median of 104 across 648 observational studies indexed under Sleep Apnea, Obstructive.

Browse Sleep Apnea, Obstructive studies →

Lead sponsor

King's College London is the lead sponsor of 507 studies on the registry; 125 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

PAP-naive adults with obstructive sleep apnea (OSA), identified from the Sleep and Ventilation Service at Royal Free London NHS Foundation Trust, who participated in the 3DPiPPIn randomised controlled trial.

Inclusion criteria

  • Participation in the 3DPiPPIn trial
  • Availability of physiological signal data at baseline and at least one follow-up time point (i.e. three months and/or six months post-CPAP)
  • Provision of informed consent permitting the use of their data in future research

Exclusion criteria

Exclusion Criteria:

  • Non-participation in the 3DPiPPIn trial
  • Absence of physiological signal data at both follow-up time points (i.e. no available data at either three months or six months post-CPAP)
  • No consent for the use of their data in future research
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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
139 participants (estimated)
Patient registry
No

Groups and cohorts

  • 3DPiPPIn Trial Participants

    Participants were originally recruited to the 3DPiPPIn trial from the Sleep and Ventilation Service at Royal Free London NHS Foundation Trust. The cohort for this secondary analysis comprises adults with sleep-disordered breathing and an Apnoea-Hypopnoea Index (AHI) \>15 events/hour who required but had never received PAP therapy, drawn from the trial participants who provided consent for their data to be used in future research.

    Device: Continuous Positive Airway Pressure Therapy

Interventions

  • DeviceContinuous Positive Airway Pressure Therapy

    The intervention of interest within this secondary analysis study is Continuous Positive Airway Pressure (CPAP) Therapy, a device-based treatment used to maintain airway patency in patients with sleep-disordered breathing. As a retrospective study, participant exposure to CPAP occured exclusively within the original 3DPiPPIn trial.

    Also known as: CPAP, CPAP Therapy, PAP, PAP Therapy, Positive Airway Pressure Therapy

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What researchers measure

Primary outcomes

  1. Change in oxygen saturation entropy from pre to six months post CPAP therapy

    Time frame: From baseline to six months post-initiation of CPAP therapy

  2. Change in heart rate entropy from pre to six months post CPAP therapy

    Time frame: From baseline to six months post-initiation of CPAP therapy

  3. Change in heart rate variability entropy from pre to six months post CPAP therapy

    Time frame: From baseline to six months post-initiation of CPAP therapy

Secondary outcomes

  1. Change in oxygen saturation entropy from pre to three months post CPAP therapy

    Time frame: From baseline to three months post-initiation of CPAP therapy

  2. Change in heart rate entropy from pre to three months post CPAP therapy

    Time frame: From baseline to three months post-initiation of CPAP therapy

  3. Change in heart rate variability entropy from pre to three months post CPAP therapy

    Time frame: From baseline to three months post-initiation of CPAP therapy

  4. Relationship between residual Apnoea-Hypopnoea Index and oxygen saturation entropy

    The Apnoea-Hypopnoea Index (AHI) is the total number of apnoea and hypopnoea events per hour of sleep. The minimum value is 0 events/hour, and there is no fixed maximum value. Higher scores indicate more severe sleep-disordered breathing (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  5. Relationship between residual Apnoea-Hypopnoea Index and heart rate entropy

    The Apnoea-Hypopnoea Index (AHI) is the total number of apnoea and hypopnoea events per hour of sleep. The minimum value is 0 events/hour, and there is no fixed maximum value. Higher scores indicate more severe sleep-disordered breathing (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  6. Relationship between residual Apnoea-Hypopnoea Index and heart rate variability entropy

    The Apnoea-Hypopnoea Index (AHI) is the total number of apnoea and hypopnoea events per hour of sleep. The minimum value is 0 events/hour, and there is no fixed maximum value. Higher scores indicate more severe sleep-disordered breathing (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  7. Relationship between Epworth Sleepiness Scale scores and oxygen saturation entropy

    The Epworth Sleepiness Scale (ESS) is a self-administered questionnaire that measures daytime sleepiness. Scores range from 0 to 24, with higher scores indicating greater daytime sleepiness (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  8. Relationship between Epworth Sleepiness Scale scores and heart rate entropy

    The Epworth Sleepiness Scale (ESS) is a self-administered questionnaire that measures daytime sleepiness. Scores range from 0 to 24, with higher scores indicating greater daytime sleepiness (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  9. Relationship between Epworth Sleepiness Scale scores and heart rate variability entropy

    The Epworth Sleepiness Scale (ESS) is a self-administered questionnaire that measures daytime sleepiness. Scores range from 0 to 24, with higher scores indicating greater daytime sleepiness (worse outcome).

    Time frame: From baseline to three and/or six months post-initiation of CPAP therapy

  10. Nocturnal hypoxia (T90%)

    T90% will be calculated as the percentage of total sleep time during which oxygen saturation is below 90%. T90 values will be categorised according to predefined thresholds to characterise the severity of nocturnal hypoxia.

    Time frame: At baseline, three months and/or six months post-initiation of CPAP therapy

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Study locations

2 sites
  • Royal Free Hospital
    London, NW2 2QG, United Kingdom
  • King's College London
    London, WC2R 2LS, United Kingdom
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References and documents

Publications

  • Shah AJ. The use of wearable technology in chronic respiratory disease. Doctor of Philosophy (PhD), University College London; 2025. Available from: https://discovery.ucl.ac.uk/id/eprint/10212804
  • Mansell SK, Mandal S, Ridout D, Olsen O, Gowing F, Kilbride C, Hilton ST, Main E, Schievano S. 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. BMJ Open. 2024 Nov 14;14(11):e087234. doi: 10.1136/bmjopen-2024-087234. PubMed 39542493 ↗
  • Mansell SK, Olsen O, Gowing F, Muwaffak Z, Kilbride C, Hilton S, Main E, Schievano S, Mandal S. 3DPiPPIN: 3D printing of positive airway pressure (PAP) therapy interfaces: a single site feasibility study. J Med Eng Technol. 2025 Oct;49(7):293-303. doi: 10.1080/03091902.2025.2532648. Epub 2025 Jul 29. PubMed 40728908 ↗
  • Mansell S, Olsen O, Smith L, Augustt S, Kilbride C, Ridout D, Hilton S, Main E, Schievano S, Mandal S. 3D Printing Positive Pressure Interfaces (3DPiPPIn): Results From a Two-Phase Feasibility Trial [Abstract]. Am J Respir Crit Care Med 2025;211:A6945. doi: 10.1164/ajrccm.2025.211.Abstracts.A6945

Individual participant data

Plan to share: No — The data used in this secondary analysis include potentially re-identifiable patient information. In line with the open access approach of the study's parent trial, 3DPiPPIn, individual participant data will not be shared to protect participant confidentiality.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 10, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07406620
Lead sponsor
King's College London
Collaborators
Royal Free Hospital NHS Foundation Trust
Responsible party
Ime Umoabasi (MRes Clinical Research Student, King's College London) — Principal investigator
First posted
Feb 12, 2026
Start date
Jun 11, 2026
Primary completion
Aug 2026 (estimated)
Completion
Sep 2026 (estimated)
Last update
Aug 10, 2026

Study contacts

Izaak Neri
study director · King's College London
Stephanie K Mansell
study director · Royal Free London NHS Foundation Trust, University College London

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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