Unknown

Dataset Information

Predicting epiglottic collapse in patients with obstructive sleep apnoea.


ABSTRACT: Obstructive sleep apnoea (OSA) is characterised by pharyngeal obstruction occurring at different sites. Endoscopic studies reveal that epiglottic collapse renders patients at higher risk of failed oral appliance therapy or accentuated collapse on continuous positive airway pressure. Diagnosing epiglottic collapse currently requires invasive studies (imaging and endoscopy). As an alternative, we propose that epiglottic collapse can be detected from the distinct airflow patterns it produces during sleep.23 OSA patients underwent natural sleep endoscopy. 1232 breaths were scored as epiglottic/nonepiglottic collapse. Several flow characteristics were determined from the flow signal (recorded simultaneously with endoscopy) and used to build a predictive model to distinguish epiglottic from none

SUBMITTER: Azarbarzin A 

PROVIDER: S-EPMC5915305 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature