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Historical data enhances safety supervision system performance in T1DM insulin therapy risk management

机译:历史数据可增强T1DM胰岛素治疗风险管理中的安全监管系统性能

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摘要

Safety measures to prevent or mitigate hypoglycemia are an important component of open loop, closed loop, and advisory mode insulin therapy control settings in type 1 diabetes. In recent work, we introduce a method for the automatic, gradual attenuation of the insulin pump delivery rate when a risk of hypoglycemia is detected, a method that we refer to as brakes. In the methods presented here, we demonstrate the use of historical glucose measurement data to inform and enhance the ability of the brakes to prevent hypoglycemia in real-time. The updated brakes are based on a patient-specific, time-varying model that reflects the typical trajectory of glycemic fluctuations throughout the day. Historical heightened risk of hypoglycemia throughout the day prompts an increase in the aggressiveness of insulin attenuation as compared to the original brakes that are based on real-time data alone. Through the use of available real-time data supplemented with historical glucose information to assess hypoglycemic risk, we are able to better anticipate and prevent hypoglycemia. ? 2012 Elsevier Ireland Ltd.
机译:预防或减轻低血糖的安全措施是1型糖尿病开环,闭环和咨询模式胰岛素治疗控制设置的重要组成部分。在最近的工作中,我们介绍了一种在检测到低血糖风险时自动逐渐降低胰岛素泵输送速度的方法,我们称这种方法为制动。在此处介绍的方法中,我们演示了使用历史葡萄糖测量数据来告知和增强制动器实时预防低血糖的能力。更新的制动器基于特定于患者的时变模型,该模型反映了一天中血糖波动的典型轨迹。与仅基于实时数据的原始制动相比,全天低血糖风险的历史升高提示胰岛素衰减的积极性增加。通过使用补充有历史葡萄糖信息的可用实时数据来评估低血糖风险,我们能够更好地预测和预防低血糖。 ? 2012爱思唯尔爱尔兰有限公司

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