Multimodel phenotyping to predict oral appliance treatment outcome in obstructive sleep apnoea

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Obstructive sleep apnoea is a common sleep-related breathing disorder. Oral appliances worn during sleep to gently hold the lower jaw in a forward position are a novel treatment modality often appealing to patients. Currently use is limited as there is no means to determine if patients will be treated successfully. There is a need for simple, clinical methods to predict which patients are best suited to this new treatment approach and this project will address this by developing such a method.