Predicting epiglottic collapse in patientswith obstructive sleep apnoea

In this study, an automated algorithm was developed to objectively identify breaths with epiglottic collapse as distinct from other sites of collapse. We demonstrate that an epiglottic contribution to OSA is characterised by the presence of discontinuity and jaggedness. Since the presence of epiglottic collapse seen using endoscopy has implications for success versus failure of OSA therapies [9–11, 32, 33], we envisage that our algorithm will enable rapid, noninvasive identification of epiglottic involvement without requiring invasive endoscopy.

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