- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04873024
Prevention of Airway Obstruction Events
Real-time Prediction and Prevention of Apnea Events on PAP Machines in an Interventional Study
The standard for treatment for people suffering from obstructive sleep apnea (OSA) syndrome involves the use of Continuous, or Automatic Positive Airway Pressure (CPAP, APAP) machines, which work by delivering air via tubing and mask to a patient at pressures of up to 20cmH2O. This increased pressure is meant to stabilize the airway to reduce obstruction events. APAP machines are generally more effective and more comfortable for patients than CPAP machines because these devices automatically adjust pressure to treat an apnea. However, this treatment is reactive and often ineffective since the necessary pressure is applied seconds after breathing has already stopped; The results of a previous study performed showed strong indications for predicting an apnea before it occurs using measurements collected by existing sensors of the CPAP and APAP machines. If apnea events can be predicted before they occur, the air pressure required to treat them could be supplied ahead of time, preventing the apnea from occurring.
The hypothesis to be tested is whether obstructive sleep apnea events can be prevented, by predicting their onset ahead of time and adjusting the airway pressure accordingly.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Nova Scotia
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Halifax, Nova Scotia, Canada, B3H 2E2
- Sleep Disorders Clinic
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- No history of self-reported cardiovascular or neurological issues
- Must be a current PAP machine user.
- Must have used PAP machines for more than 4 months.
- Must be at least 18 years old
- Must be able to comply with all study requirements as outlined in the consent form
- Must be able to understand English and be willing to provide written informed consent
- For all nights of the study, participant must be willing to lend their personal PAP device for inspection.
- Must be willing to have their CPAP SD memory card analyzed by OSCAR to determine their average OAI over the past 30 days of use.
- For the low OAI group, participants must have an average OAI between 0.8 - 2.99 and AHI < 5.0 in the past 30 days, which would result in at least one obstructive apnea every two hours each night.
- For the high OAI group, participants must have an average OAI ≥ 3.0 and AHI ≥ 5.0 in the past 30 days, which would result in around 5 obstructive apneas every hour each night.
Exclusion Criteria:
- Subjects actively using bi-level PAP or require oxygen therapy
- History of severe cardiovascular disease, including NYHA Class III or IV heart failure, CAD with angina, or MI/stroke within past 6 months
- Subjects who are medically complicated or who are medically unstable (i.e. cancer, dementia, unstable cardiac or respiratory disease, or unstable psychiatric illness)
- Potential sleep apnea complications that in the opinion of the clinician may affect the health and safety of the participant
- Subjects exhibiting any flu-like or any upper airway tract infection symptoms at the time of assessment
- Pregnant (confirmed verbally)
- Inability or unwillingness of individual to give written informed consent
- Has received bariatric surgery
All participants currently screened, enrolled, and consented who have not yet had all overnight testing done, AND who have an OAI < 3.0 and AHI < 5.0, will be excluded from the study, as this group has been fully enrolled to date.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention-first
Participants in this arm will receive the Intervention treatment on the first night, and the control treatment on the second night.
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Breathing data collected by the device will be processed by a machine learning algorithm to predict obstructive apnea events. When obstructive apnea events are predicted, the algorithm triggers the CPAP device to respond to the apnea event ahead of its onset. For the control treatment, the device will operate as its conventional treatment.
Other Names:
|
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Experimental: Control-first
Participants in this arm will receive the Control treatment on the first night, and the Intervention treatment on the second night.
|
Breathing data collected by the device will be processed by a machine learning algorithm to predict obstructive apnea events. When obstructive apnea events are predicted, the algorithm triggers the CPAP device to respond to the apnea event ahead of its onset. For the control treatment, the device will operate as its conventional treatment.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Apnea-Hypopnea Index (AHI)
Time Frame: 2 nights (approx. 8hrs/night)
|
To be measured via Polysomnography (PSG) data, which are standard measures obtained in sleep studies.
AHI is measured as the average number of Apnea and Hypopnea occurrences in an hour during sleep (units: events/hour).
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2 nights (approx. 8hrs/night)
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Obstructive Apnea Index
Time Frame: 2 nights (approx. 8hrs/night)
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To be measured via Polysomnography (PSG) data, which are standard measures obtained in sleep studies.
OAI is measured as the average number of exclusively Obstructive Apnea occurrences in an hour during sleep (units: events/hour).
|
2 nights (approx. 8hrs/night)
|
|
Respiratory Disturbance Index
Time Frame: 2 nights (approx. 8hrs/night)
|
To be measured via Polysomnography (PSG) data, which are standard measures obtained in sleep studies. RDI is measured as the average number of Apneas, Hypopneas and RERAs (Respiratory Effort Related Arousal) occurrences in an hour during sleep. |
2 nights (approx. 8hrs/night)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Intervention treatment has an effect on patient adherence
Time Frame: 2 nights (approx. 8hrs/night)
|
Another objective will be the comparison of patient satisfaction after each night of sleep, which will be scored and quantified by an adherence/satisfaction questionnaire to determine whether the use of our device had a positive, or neutral effect on their sleep. The questionnaire will be given to participants to fill out after treatment. Questionnaire responses will be scaled to an Adherence score using a 11-point Likert rating scale. Higher scores indicate higher participant's adherence/satisfaction to the treatment. |
2 nights (approx. 8hrs/night)
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Oxygen Desaturation Index (ODI)
Time Frame: 2 nights (approx. 8hrs/night)
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The ODI metric is also obtained through Polysomnography (PSG) data.
ODI is measured as the average number of times per hour of sleep that the blood's oxygen level drop by a certain degree from baseline (units: events/hour).
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2 nights (approx. 8hrs/night)
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Debra Morrison, M.D., Nova Scotia Health
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Interventional-study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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