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首页> 外文期刊>Journal of Diabetes Science and Technology >Effect of Algorithm Aggressiveness on the Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System
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Effect of Algorithm Aggressiveness on the Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System

机译:算法的积极性对低血糖-高血糖症抑制器(HHM)系统性能的影响

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Background: The Hypoglycemia-Hyperglycemia Minimizer (HHM) System aims to mitigate glucose excursions by preemptively modulating insulin delivery based on continuous glucose monitor (CGM) measurements. The “aggressiveness factor” is a key parameter in the HHM System algorithm, affecting how readily the system adjusts insulin infusion in response to changing CGM levels. Methods: Twenty adults with type 1 diabetes were studied in closed-loop in a clinical research center for approximately 26 hours. This analysis focused on the effect of the aggressiveness factor on the insulin dosing characteristics of the algorithm and, to a lesser extent, on the glucose control results observed. Results: As the aggressiveness factor increased from conservative to medium to aggressive: the maximum observed insulin dose delivered by the algorithm—which is designed to give doses that are corrective in nature every 5 minutes—increased (1.00 vs 1.15 vs 2.20 U, respectively); tendency to adhere to the subject’s nominal basal dose decreased (61.9% vs 56.6% vs 53.4%); and readiness to decrease insulin below basal also increased (18.4% vs 19.4% vs 25.2%). Glucose analyses by both CGM and Yellow Springs Instruments (YSI) indicated that the aggressive setting of the algorithm resulted in the least time spent at levels &180 mg/dL, and the most time spent between 70-180 mg/dL. There was no severe hyperglycemia, diabetic ketoacidosis, or severe hypoglycemia for any of the aggressiveness values investigated. Conclusions: These analyses underscore the importance of investigating the sensitivity of the HHM System to its key parameters, such as the aggressiveness factor, to guide future development decisions.
机译:背景:低血糖-高血糖症最小化器(HHM)系统旨在通过基于连续血糖监测器(CGM)的测量来预先调节胰岛素的输送,从而减轻血糖波动。 “攻击性因素”是HHM系统算法中的关键参数,影响系统响应CGM水平变化而调节胰岛素输注的难易程度。方法:在临床研究中心对20名1型糖尿病成年人进行闭环研究,时间约为26小时。该分析集中于攻击性因素对算法的胰岛素剂量特性的影响,并在较小程度上对观察到的葡萄糖控制结果的影响。结果:随着攻击性因素从保守到中等再到攻击性增加:算法提供的观察到的最大胰岛素剂量(旨在每5分钟提供本质上可纠正的剂量)增加(分别为1.00 vs 1.15 vs 2.20 U) ;坚持受试者标称基础剂量的趋势有所降低(61.9%比56.6%比53.4%);并且降低将胰岛素降低至基础水平以下的意愿也有所提高(分别为18.4%对19.4%和25.2%)。由CGM和Yellow Springs Instruments(YSI)进行的葡萄糖分析表明,算法的积极设置导致在> 180mg / dL水平花费最少的时间,而在70-180mg / dL之间花费最多的时间。对于所研究的任何攻击性值,没有严重的高血糖症,糖尿病性酮症酸中毒或严重的低血糖症。结论:这些分析强调了调查HHM系统对其关键参数(例如攻击性因子)的敏感性以指导未来发展决策的重要性。

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