Sleep Research Group, Charles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.
Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
J Clin Sleep Med. 2021 Sep 1;17(9):1785-1792. doi: 10.5664/jcsm.9288.
Oral appliance (OA) therapy usage can be objectively measured through temperature-sensing data chips embedded in the appliance. Initial reports of group data for short-term treatment usage suggest good nightly hours of usage. However, individual variability in treatment usage patterns has not been assessed. We aimed to identify OA treatment usage subtypes in the first 60 days and the earliest predictors of these usage patterns.
OSA patients were recruited for a study of OA therapy with an embedded compliance chip (DentiTrac, Braebon, Canada). Fifty-eight participants with 60 days of downloadable treatment usage data (5-minute readings) were analyzed. A hierarchical cluster analysis was used to group participants with similar usage patterns. A random forest classification model was used to identify the minimum number of days to predict usage subtype.
Three user groups were identified and named: "Consistent Users" (48.3%), "Inconsistent Users," (32.8%) and "Non-Users" (19.0%). The first 20 days provided optimal data to predict the treatment usage group a patient would belong to at 60 days (90% accuracy). The strongest predictors of user group were downloaded usage data, average wear time, and number of days missed.
Granular analysis of OA usage data suggests the existence of treatment user subtypes (Consistent, Inconsistent, and Non-Users). Our data suggest that 60-day usage patterns can be identified in the first 20 days of treatment using downloaded treatment usage data. Understanding initial treatment usage patterns provide an opportunity for early intervention to improve long-term usage and outcomes.
Sutherland K, Almeida FR, Kim T, et al. Treatment usage patterns of oral appliances for obstructive sleep apnea over the first 60 days: a cluster analysis. . 2021;17(9):1785-1792.
通过嵌入口腔矫治器的温度感应数据芯片，可以客观测量口腔矫治器（OA）的使用情况。短期治疗使用的初步群组数据报告表明，患者夜间使用时间较长。然而，尚未评估治疗使用模式的个体差异。我们旨在确定前 60 天中 OA 治疗使用的亚型，并确定这些使用模式的最早预测因素。
对接受嵌入式依从性芯片（DentiTrac，Braebon，加拿大）的 OA 治疗的 OSA 患者进行了一项研究。对 58 名具有 60 天可下载治疗使用数据（5 分钟读数）的参与者进行了分析。使用层次聚类分析将具有相似使用模式的参与者进行分组。使用随机森林分类模型确定预测使用类型所需的最短天数。
确定并命名了三种用户群体：“持续使用者”（48.3%）、“间断使用者”（32.8%）和“非使用者”（19.0%）。前 20 天提供了最佳数据，可以预测患者在 60 天时所属的治疗使用组（准确率为 90%）。预测用户组的最强指标是下载使用数据、平均佩戴时间和错过天数。
对 OA 使用数据的详细分析表明存在治疗使用者亚型（持续使用者、间断使用者和非使用者）。我们的数据表明，在开始治疗后的前 20 天内，使用下载的治疗使用数据即可确定 60 天的使用模式。了解初始治疗使用模式为改善长期使用和结果提供了早期干预的机会。
