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Estimating endogenous glucose production during exercise using heart rate: implications for diabetes management

机译:使用心率估算运动过程中的内源性葡萄糖生产:对糖尿病管理的影响

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Non-invasive, continuous Endogenous glucose production (EGP) estimation during exercise would help manage and automate insulin and glucose dosing during exercise, providing novel information to more effectively close the loop in managing glucose levels. This study used a combination of new study and literature data to determine relationships between blood lactate concentrations, heart rate (HR), and EGP. From these relationships, EGP can be estimated based on HR, which is continuously and non-invasively available at low cost in exercise. Participants for the exercise protocol were 10 sub-elite athletes who participated in at least 6 hours per week of endurance sports. Lactate as a function of HR during high intensity (HI) exercise has variability R2= 0.49. The variability in the model curve using independent literature values is R2= 0.65. Using these results to create a model of EGP as a function of HR gives an R2= 0.80. This method provides a continuous and non-invasive means of estimating EGP during exercise, including at HI, which is more rarely studied, and can be used to improve diabetes management in exercise.
机译:运动期间的非侵入性,连续内源性葡萄糖产量(EGP)估计将有助于在运动期间管理和自动化胰岛素和葡萄糖剂量,提供新颖的信息,以更有效地关闭管理葡萄糖水平的环路。本研究使用新的研究和文献数据的组合来确定血液乳酸浓度,心率(HR)和EGP之间的关系。根据这些关系,可以基于HR估计EGP,其在运动中连续和不可侵入地可用。行使议定书的参与者是10名次级精英运动员,每周至少参加6小时的耐力运动。在高强度(HI)锻炼期间作为HR的功能的乳酸,具有变化R2 = 0.49。使用独立文献值的模型曲线中的可变性是R2 = 0.65。使用这些结果以创建EGP的模型,因为HR的函数给出R2 = 0.80。该方法提供了在运动期间估计EGP的连续和非侵入性手段,包括在HI,这更少研究,并且可用于改善运动中的糖尿病管理。

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