2020
Winner

A Novel Use of Polysomnographic Airflow Phenotype to Predict Response to Oral Appliance Therapy in Sleep Apnea Patients

Presenter: Amanda Collison

Research Category: Health Sciences
Award: Innovation

Study Objectives: Oral appliance therapy has become a common treatment option for obstructive sleep apnea (OSA) in lieu of high continuous positive airway pressure (CPAP) intolerance, yet prediction methods of positive response to oral appliance therapy are undeveloped and often involve invasive procedures.

Methods: A group of 81 participants (n = 81) was gathered and data was collected through two sleep studies, before and during oral appliance therapy treatment. Flow shape features that, from previous literature, indicate palette-only events were identified through analysis of polysomnographic recordings during the sleep studies. A model was created to predict response to oral appliance therapy (>50% reduction in apnea-hypopnea index [AHI] from the initial sleep study and a treatment AHI <10 events/h). This was based on exceeding a threshold of “pinching” flow shapes (# pinching flow shapes in # airflow peaks*).

Results: The expected result is that nonresponders to oral appliance therapy will pass the set threshold of “pinched” expirations due to palatal collapse.**

Conclusions: This model, using non-invasive polysomnography to create distinct airflow features associated with nonresponders, is an important step in customizing OSA treatment.

 

* # of pinches and # of airflow peaks will be determined when the model is finalized

** final results will also be added when the model is finalized

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