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Clinical Trial 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


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT04753684
Study type Observational
Source University Hospital, Antwerp
Contact
Status Completed
Phase
Start date February 15, 2021
Completion date October 31, 2021

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