Correlation Between Upper Airway Endoscopy and Physiological Traits of Obstructive Sleep Apnea
NCT04753684 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 181
Last updated 2021-11-30
Summary
OBJECTIVES
To train and test a mathematical model to predict complete concentric collapse at the level of the palate (CCCp, primary) and other sites of upper airway collapse (secondary) during drug-induced sleep endoscopy (DISE) using the data captured during a diagnostic polysomnography (PSG).
HYPOTHESIS
The site, pattern and degree of upper airway collapse is associated with distinct flow features as captured during a baseline PSG.
STUDY DESIGN
Retrospective trial.
STUDY POPULATION
200 patients with moderate to severe obstructive sleep apnea (OSA, AHI ≥ 15/h) who underwent both a DISE and a diagnostic PSG at the Antwerp University Hospital (UZA) between January 2018 and December 2020.
OUTCOME MEASURES:
Raw data as captured during a diagnostic PSG, including electroencephalography (EEG), flow, electrocardiography (ECG), electromyography (EMG), oxygen desaturation and breathing effort.
SAMPLE SIZE / DATA ANALYSIS
Data of 200 patients will be retrospectively included into this study protocol. Different machine learning techniques will be adopted to select features, train the model and test the model.
TIME SCHEDULE
January 30, 2021 - November 30, 2021
Conditions
Sponsors & Collaborators
-
Brigham and Women's Hospital
collaborator OTHER -
Harvard Medical School (HMS and HSDM)
collaborator OTHER -
Universiteit Antwerpen
collaborator OTHER -
University Hospital, Antwerp
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-02-15
- Primary Completion
- 2021-06-30
- Completion
- 2021-10-31
Countries
- Belgium
Study Locations
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