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Derivative weighted active insulin control modelling and clinical trials for ICU patients.

机译:ICU患者的衍生加权主动胰岛素控制建模和临​​床试验。

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摘要

Close control of blood glucose levels significantly reduces vascular complications in Type 1 and Type 2 diabetic individuals. Heavy derivative controllers using the data density available from emerging biosensors are developed to provide tight, optimal control of elevated blood glucose levels, while robustly handling variation in patient response. A two-compartment glucose regulatory system model is developed for intravenous infusion from physiologically verified subcutaneous infusion models enabling a proof-of-concept clinical trial at the Christchurch Hospital Department of Intensive Care Medicine. This clinical trial is the first of its kind to test a high sample rate feedback control algorithm for tight glucose regulation. The clinical trial results show tight control with reductions of 79-89% in blood glucose excursions for an oral glucose tolerance test. Experimental performance is very similar to modelled behaviour. Results include a clear need for an additional accumulator dynamic for insulin behaviour in transport to the blood and strong correlation of 10% or less between modelled insulin infused and the amounts used in clinical trials. Finally, the heavy derivative PD control approach is seen to be able to bring blood glucose levels below the (elevated) basal level, showing the potential for truly tight control.
机译:严格控制血糖水平可显着降低1型和2型糖尿病患者的血管并发症。开发了使用新兴生物传感器提供的数据密度的重型衍生控制器,以提供严格,最佳的血糖水平控制,同时稳健地应对患者反应的变化。从生理验证的皮下输注模型开发了一种用于静脉输注的两室葡萄糖调节系统模型,该模型可在克赖斯特彻奇医院重症监护医学系进行概念验证的临床试验。这项临床试验是测试高采样率反馈控制算法以实现严格葡萄糖调节的同类研究中的首例。临床试验结果表明,对于口服葡萄糖耐量试验,严格控制可降低血糖偏移79-89%。实验性能与建模行为非常相似。结果包括明确需要一种额外的蓄能器来动态地将胰岛素行为传输到血液中,并且模拟胰岛素的注入量与临床试验中所用剂量之间的相关性应在10%或以下。最后,重衍生物PD控制方法被认为能够使血糖水平低于(升高的)基础水平,显示出真正严格控制的潜力。

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