DiCarlo Lorenzo A, Weinstein Richard L, Morimoto Catherine B, Savage George M, Moon Gregory L, Au-Yeung Kityee, Kim Yoona A
Proteus Digital Health Inc., Redwood City, CA.
Diablo Clinic, Walnut Creek, CA.
J Clin Hypertens (Greenwich). 2016 Sep;18(9):901-6. doi: 10.1111/jch.12787. Epub 2016 Feb 18.
Objective information that can be passively obtained in an ambulatory setting could be potentially useful for determining appropriate care in blood pressure (BP) management. This study utilized digital medicine (DM) prototypes and telemetric data acquisition to directly confirm medication use and to assess habits of daily living in a hypertensive population. Thirty-seven patients (23 men age 62±9 years) used the system for 6 weeks. DM prototypes consisted of valsartan 80 mg or 160 mg placed in a gelatin hemicapsule with an excipient tablet as a "stopper," with a poppy seed-sized ingestible sensor (IS) made of foodstuff on its external surface and capable of creating a biogalvanic current on ingestion to alert a wearable sensor (WS) that was worn on the torso. Passive data collection included IS ingestion dates and times, daily step count, BP, and weight. Automatic short message service (SMS) reminders were sent whenever BP or weight values were not received. Passive detection of DM ingestion was 98% when compared with directly observed dosing. Mean taking and timing adherence rates were 90% and 83%, respectively, and the average step count at a pace of ≥60 steps per minute was 2.0±1.5 h/d. An automatic SMS was sent and 100% confirmed for 251 BP and 14 weight values that were not received. Mild and transient WS-related skin irritation was the most common device-related adverse event. There were no serious or unanticipated adverse events. Ninety percent of patients did not mind swallowing a DM capsule, and 75% had a positive overall experience with the system. Ambulatory evaluation of medication adherence and habits of daily living appear to be feasible and acceptable using DM and passive acquisition of telemetric data.
在门诊环境中能够被动获取的客观信息可能对确定血压(BP)管理的适当护理有潜在帮助。本研究利用数字医学(DM)原型和遥测数据采集来直接确认药物使用情况,并评估高血压人群的日常生活习惯。37名患者(23名男性,年龄62±9岁)使用该系统6周。DM原型由80毫克或160毫克缬沙坦置于明胶半胶囊中,配有一片辅料片作为“塞子”,其外表面有一个罂粟籽大小的可食用传感器(IS),由食品制成,摄入时能够产生生物电流以提醒佩戴在躯干上的可穿戴传感器(WS)。被动数据收集包括IS摄入日期和时间、每日步数、血压和体重。每当未收到血压或体重值时,就会发送自动短信提醒。与直接观察给药相比,DM摄入的被动检测率为98%。平均服药依从率和时间依从率分别为90%和83%,每分钟≥60步的平均步数为2.0±1.5小时/天。针对251个未收到的血压值和14个体重值发送并确认了自动短信。与WS相关的轻度和短暂皮肤刺激是最常见的与设备相关的不良事件。没有严重或意外的不良事件。90%的患者不介意吞咽DM胶囊,75%的患者对该系统有积极的总体体验。使用DM和遥测数据的被动采集对药物依从性和日常生活习惯进行门诊评估似乎是可行且可接受的。