Actively Recruiting

Age: 18Years +
All Genders
Healthy Volunteers
ID07060079

The Use of Entropy to Assess Sleep Disordered Breathing in Chronic Respiratory Disease

Led by University College, London · Updated on 2025-07-11

120

Participants Needed

1

Research Sites

4 weeks

Total Duration

On this page

Sponsors

U

University College, London

Lead Sponsor

R

Royal Free Hospital NHS Foundation Trust

Collaborating Sponsor

AI-Summary

What this Trial Is About

Researchers are studying chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease, bronchiectasis, and their connection with sleep-disordered breathing (SDB), including obstructive sleep apnoea. The goal is to compare patients with chronic respiratory diseases who have SDB to those who do not, using a new analytical method to better understand the underlying physiological differences. This study focuses on how breathing disturbances during sleep may worsen when chronic respiratory diseases coexist with SDB. The study will analyze sleep data by measuring changes in respiratory signals entropy, oxygen saturation, and heart rate. These measurements will be collected using cardiorespiratory polygraphy during a 1-hour daytime period and overnight sleep. The research explores the use of nonlinear methods like entropy to assess irregularities in physiological signals from simple devices, such as pulse oximeters, to potentially improve screening for sleep apnoea. Participants will be adults with chronic respiratory disease, with or without SDB, and some healthy controls with previously negative studies. They will undergo sleep studies using portable monitoring devices while researchers collect data on oxygen levels, heart rate, and breathing patterns. The main outcome is to observe changes in entropy and other signals during sleep. The study duration for outcome measurement is about 2 months, starting in April 2025 and ending in September 2026.

CONDITIONS

Brief Title

The Use of Entropy to Assess Sleep Disordered Breathing in Chronic Respiratory Disease

Who Can Participate

Age: 18Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Adults aged 18 years or older with chronic respiratory disease with or without sleep-disordered breathing
  • Patients who have had previously negative sleep studies as a control group
  • Ability to read, understand, and sign the informed consent form
  • Willingness to sleep with portable monitoring devices
Not Eligible

You will not qualify if you...

  • Patients under 18 years of age at the time of the study
  • Contraindications to the use of portable monitoring devices
  • Inability to provide informed consent to participate in the study

AI-Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - Up to 2 days

Participants undergo assessments using cardiorespiratory polygraphy and portable monitoring devices to record respiratory signals, oxygen saturation, and heart rate during daytime and overnight sleep.

1 daytime and 1 overnight monitoring session

Long-term Monitoring

Duration - 2 months

Participants are observed over a 2-month period to assess changes in physiological signals related to sleep-disordered breathing and chronic respiratory disease.

No additional visits; data collected remotely or during monitoring sessions

Trial Site Locations

Total: 1 location

1

Royal Free hospital

London, United Kingdom, NW3 2QG

Actively Recruiting

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Research Team

N

Nawal Alotaibi

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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Published Research Related To This Trial

Diagnostic accuracy of level 3 portable sleep tests versus level 1 polysomnography for sleep-disordered breathing: a systematic review and meta-analysis.

Mohamed El Shayeb, Leigh-Ann Topfer, Tania Stafinski...

https://pubmed.ncbi.nlm.nih.gov/24218531

Pattern Analysis of Oxygen Saturation Variability in Healthy Individuals: Entropy of Pulse Oximetry Signals Carries Information about Mean Oxygen Saturation.

Amar S Bhogal, Ali R Mani

https://pubmed.ncbi.nlm.nih.gov/28824451