Developing a Personalized Approach to Obstructive Sleep Apnea

center dot There are multiple different dimensions to the heterogeneity of Obstructive Sleep Apnea (OSA). We need to seek to integrate information from different domains to provide the optimal tool for center dot Much of the focus on personalized medicine approaches to OSA has been on different endotypes. It is proposed that these can be estimated from routine sleep study data using a simple model of ventilatory control. However, whether this provides reliable estimates is currently unknown and there is lack of validation. center dot There are different clinical subtypes of OSA based on symptoms that have been demonstrated in multiple studies worldwide in both population-based and clinical cohorts. Before they are used clinically, they have to be shown to not change over a brief period of time. center dot There are multiple new metrics of severity of OSA. These are proposed to provide better clinical prediction of outcomes than the apnea-hypopnea index (AHI). We need to know if these new metrics are each providing new information or if they are very correlated.