- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00836758
Comparison of Breathing Event Detection by a Continuous Positive Airway Pressure Device to Clinical Polysomnography
Validation of Breathing Event Detection of the REMstar Auto With Aflex Compared to Clinical Polysomnography
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Purpose: The purpose of this study was to compare the AED algorithm used in a PAP device with manually scored events on PSG. The PAP device was modified to produce a square wave voltage output identifying when apneas, hypopneas, and snoring events were detected. Recording this event signal on the PSG performed with the patient using the PAP device allowed an event-by-event comparison between manually scored PSG events and AED events. In addition, the AHI, AI, and HI derived from the manually scored PSG were compared with the respective measures reported by the PAP device used during the PSG.
Study Objectives: Compare automatic event detection (AED) of respiratory events using a positive airway pressure (PAP) device with manual scoring of polysomnography (PSG) during PAP treatment of obstructive sleep apnea (OSA).
Design: Prospective PSGs of patients using a PAP device.
Setting: Six academic and private sleep disorders centers.
Interventions: A signal generated by the PAP device identifying the AED of respiratory events based on airflow was recorded during PSG.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Florida
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Gainesville, Florida, United States, 32606
- Shands and UF Sleep Disorder Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Age 21-75
- Diagnosis of OSAHS with a baseline AHI ≥ 15 events/hr of sleep assessed January 01, 2007 or later
- CPAP prescription of 8cm of H20 or higher
- Able and willing to provide written informed consent
- Native English speaker
Exclusion Criteria:
- Participation in another interventional research study within the last 30 days
- Major medical or psychiatric condition that would interfere with the demands of the study and adherence to PAP. Examples include unstable cardiovascular disease (Class III / IV CHF), neuromuscular disease, cancer, and renal failure.
- Chronic respiratory failure or insufficiency with suspected or known neuromuscular disease, moderate or severe continuous positive airway pressure (COPD) or other pulmonary disorders, or any condition with an elevation of arterial carbon dioxide levels (> 45 mmHg) while awake, or subjects requiring continuous oxygen therapy.
- Surgery of the upper airway, nose, sinus, or middle ear within the previous 90 days
- Surgery at any time for the treatment of OSAHS such as uvulopalatopharyngoplasty (UPPP)
Presence of untreated or poorly managed,non-OSAHS related sleep disorders:
- moderate to severe periodic limb movements(≥ 30/hr with symptoms or arousals)
- arousals associated with periodic limb movements > 10 per hour or
- anyone experiencing chronic and severe insomnia.
- Consumption of ethanol immediately prior to the research PSG
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Experimental: CPAP Device
Breathing event detection (AED) by the CPAP device will be compared to breathing event detection by a simultaneous PSG (manual PSG scoring).
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The CPAP device will be set-up at a sub-therapeutic pressure and will remain at this pressure for the entire night, if tolerated.
Then the events will be analyzed with Automatic Event Detection (AED) and manual PSG scoring.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Apnea-hypopnea Indices (AHI) as Determined by Polysomnography (PSG) vs Automatic Event Detection (AED ) Algorithm
Time Frame: one night
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Apnea-hypopnea index (AHI) is the combined average number of apneas and hypopneas that occur per hour of sleep. The Apnea index (AI) is the average number of apneas that occur per hour of sleep. The Hypopnea index (HI) is the average number of hypopneas that occur per hour of sleep. The PSGs were manually scored to determine the apnea-hypopnea index. This value was then compared to the PAP device which utilized the AED algorithm to determine the apnea-hypopnea index. |
one night
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Methodological Comparisons of AHI, Apnea Index (AI) and Hypopnea Index (HI) as Determined by Intra-class Correlation (ICC)
Time Frame: one night
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Methodological comparisons utilizing ICC for detection of AHI, apnea index (AI) and hypopnea index (HI) were caculated between the values obtained by PSG and the REMstar Auto with A-Flex device.
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one night
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Richard Berry, MD, University of Florida
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- EDILP-2008-SST-01
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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