Department of Diabetes, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Digital Therapeutics, Scientific Modelling, Novo Nordisk A/S, Søborg, Denmark.
Diabet Med. 2022 Sep;39(9):e14892. doi: 10.1111/dme.14892. Epub 2022 Jun 22.
Hypoglycaemia is a significant burden to people living with diabetes and an impediment to achieving optimal glycaemic outcomes. The use of continuous glucose monitoring (CGM) has improved the capacity to assess duration and level of hypoglycaemia. The personal impact of sensor-detected hypoglycaemia (SDH) is unclear. Hypo-METRICS is an observational study designed to define the threshold and duration of sensor glucose that provides the optimal sensitivity and specificity for events that people living with diabetes experience as hypoglycaemia.
We will recruit 600 participants: 350 with insulin-treated type 2 diabetes, 200 with type 1 diabetes and awareness of hypoglycaemia and 50 with type 1 diabetes and impaired awareness of hypoglycaemia who have recent experience of hypoglycaemia. Participants will wear a blinded CGM device and an actigraphy monitor to differentiate awake and sleep times for 10 weeks. Participants will be asked to complete three short surveys each day using a bespoke mobile phone app, a technique known as ecological momentary assessment. Participants will also record all episodes of self-detected hypoglycaemia on the mobile app. We will use particle Markov chain Monte Carlo optimization to identify the optimal threshold and duration of SDH that have optimum sensitivity and specificity for detecting patient-reported hypoglycaemia. Key secondary objectives include measuring the impact of symptomatic and asymptomatic SDH on daily functioning and health economic outcomes.
The protocol was approved by local ethical boards in all participating centres. Study results will be shared with participants, in peer-reviewed journal publications and conference presentations.
低血糖是糖尿病患者的沉重负担,也是实现最佳血糖控制的障碍。连续血糖监测(CGM)的使用提高了评估低血糖持续时间和程度的能力。传感器检测到的低血糖(SDH)对个人的影响尚不清楚。Hypo-METRICS 是一项观察性研究,旨在确定传感器葡萄糖的阈值和持续时间,以提供对糖尿病患者经历的低血糖事件的最佳灵敏度和特异性。
我们将招募 600 名参与者:350 名接受胰岛素治疗的 2 型糖尿病患者、200 名有低血糖意识的 1 型糖尿病患者和 50 名有低血糖意识受损且近期有低血糖经历的 1 型糖尿病患者。参与者将佩戴一个盲法 CGM 设备和一个活动监测器,持续 10 周以区分清醒和睡眠时间。参与者将每天使用定制的手机应用程序完成三次简短调查,这是一种称为生态瞬时评估的技术。参与者还将在移动应用程序上记录所有自我检测到的低血糖事件。我们将使用粒子马尔可夫链蒙特卡罗优化来确定 SDH 的最佳阈值和持续时间,以实现检测患者报告的低血糖的最佳灵敏度和特异性。主要次要目标包括测量有症状和无症状 SDH 对日常功能和健康经济结果的影响。
该方案已获得所有参与中心的当地伦理委员会的批准。研究结果将在同行评议的期刊出版物和会议演讲中与参与者分享。