Hyperglycemia in critically ill patients leads to severe complications and even death. It was shown that keeping blood glucose (BG) within the range of 80–110 mg/dl (4.4–6.1 mmol/l) reduces mortality and morbidity in intensive care units (ICUs), and many researches for achieving such BG control have been performed. However, maintaining BG within such range is not easy mainly due to the time variability of insulin sensitivity in ICU patients. In this study, regarding hypoglycemia prevention as important, we improve our glycemic control system utilizing zone model predictive control, which is a control strategy to keep the controlled variable within a target range and has been applied to avoid hypoglycemia for type 1 diabetes mellitus. Then, we assess the performance of the glycemic control system on ICU virtual patients created from clinical ICU data. The modified glycemic control system achieves 68% of BG measurements within the range of 80–110 mg/dl and only 1.3% of BG measurements below 80 mg/dl, which suggests the effectiveness and safety of the system. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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使用区域模型预测控制对重症患者进行血糖控制

重症患者的高血糖症会导致严重的并发症甚至死亡。结果表明，将血糖（BG）维持在80-110 mg / dl（4.4-6.1 mmol / l）范围内可降低重症监护病房（ICU）的死亡率和发病率，并且为实现这种BG控制已进行了许多研究。执行。然而，将BG维持在这样的范围内并不容易，这主要是由于ICU患者的胰岛素敏感性随时间变化。在这项研究中，考虑到低血糖的预防很重要，我们利用区域模型预测控制改进了血糖控制系统，这是一种将控制变量保持在目标范围内的控制策略，已被用于避免1型糖尿病的低血糖。然后，我们评估了根据临床ICU数据创建的ICU虚拟患者的血糖控制系统的性能。改进的血糖控制系统在80-110 mg / dl的范围内可实现68％的BG测量值，而在80 mg / dl以下的系统仅可实现1.3％的BG测量值，这表明该系统的有效性和安全性。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。