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

多模型表型预测阻塞性睡眠呼吸暂停口腔矫治器治疗结果

• 批准号: nhmrc : 1024351
• 负责人: Dr Andrew Chan
• 金额: $ 35.06万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/multimodel-phenotyping-predict-sleep-apnoea/110342
• 关键词: Multimodel; phenotyping; predict; oral; appliance

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.

阻塞性睡眠呼吸暂停是一种常见的与睡眠相关的呼吸障碍。在睡眠期间佩戴口腔矫治器来轻轻地将下颌保持在向前位置是一种新颖的治疗方式，通常对患者很有吸引力。目前的使用受到限制，因为无法确定患者是否会得到成功治疗。需要简单的临床方法来预测哪些患者最适合这种新的治疗方法，该项目将通过开发这种方法来解决这个问题。