Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, La Jolla, CA.
ResMed Science Center, ResMed Corp, San Diego, CA.
Chest. 2018 Apr;153(4):843-850. doi: 10.1016/j.chest.2017.11.005. Epub 2017 Nov 15.
Sleep apnea has major neurocognitive and cardiovascular and metabolic risks. Treatment of sleep apnea is suboptimal because of variable adherence to existing therapies.
This trial compared positive airway pressure adherence among patients who were provided active patient engagement (APE) technology vs those who received usual care monitoring (UCM). The primary outcome was expressed by using the US Medicare definition of adherence. Adherence data from two cloud-based databases (AirView and myAir) were analyzed for patients with sleep apnea. Data were included if a patient's activation date in the APE tool was within 7 days of the therapy start date in the UCM database during a defined time window. Data were propensity matched in a 1:2 ratio (APE:UCM) based on baseline patient characteristics.
A total of 128,037 patients were analyzed. Baseline characteristics were typical of a sleep clinic cohort. APE was associated with more patients achieving adherence criteria (87.3%) compared with UCM patients (70.4%; P < .0001 for the difference). Average therapy usage was 5.9 h per night in the APE group vs 4.9 h per night in the matched UCM patients (P < .0001). Patients with sleep apnea "struggling" with therapy adherence had a 17.6% absolute improvement in adherence using APE compared with UCM.
Robust therapy adherence rates can be achieved by adding modern technology to usual care. Adopting advances in technology in care management may allow clinicians to more effectively and efficiently treat patients who have sleep apnea. Rigorous randomized controlled trials may be required before making strong clinical recommendations.
睡眠呼吸暂停症具有重大的神经认知、心血管和代谢风险。由于对现有疗法的依从性存在差异,睡眠呼吸暂停症的治疗效果并不理想。
本试验比较了使用积极患者参与(APE)技术的患者与接受常规护理监测(UCM)的患者之间的气道正压治疗依从性。主要结局采用美国医疗保险对依从性的定义来表示。使用两个基于云的数据库(AirView 和 myAir)对睡眠呼吸暂停症患者进行了依从性数据分析。如果患者在 UCM 数据库中治疗开始日期的 7 天内激活了 APE 工具,则将数据包括在内。根据基线患者特征,按照 1:2 的比例(APE:UCM)进行倾向匹配。
共分析了 128037 名患者。基线特征是典型的睡眠诊所队列。与 UCM 患者相比(70.4%;APE 与更多患者达到依从性标准(87.3%)相关,差异有统计学意义(P<0.0001)。APE 组的平均治疗使用时间为每晚 5.9 小时,而匹配的 UCM 患者为每晚 4.9 小时(P<0.0001)。在治疗依从性方面“挣扎”的睡眠呼吸暂停症患者,使用 APE 与 UCM 相比,依从性提高了 17.6%。
通过将现代技术添加到常规护理中,可以实现强大的治疗依从性率。在护理管理中采用技术进步可能使临床医生能够更有效地治疗患有睡眠呼吸暂停症的患者。在提出强烈的临床建议之前,可能需要进行严格的随机对照试验。