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Nutrition delivery, workload and performance in a model-based ICU glycaemic control system

机译:基于模型的ICU血糖控制系统中的营养交付,工作量和性能

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Background and Objective: Hyperglycaemia is commonplace in the adult intensive care unit (ICU), and has been associated with increased morbidity and mortality. Effective glycaemic control (GC) can reduce morbidity and mortality, but has proven difficult. STAR is a model-based GC protocol that uniquely maintains normoglycaemia by changing both insulin and nutrition interventions, and has been proven effective in controlling blood glucose (BG) in the ICU. However, most ICU GC protocols only change insulin interventions, making the variable nutrition aspect of STAR less clinically desirable. This paper compares the performance of STAR modulating only insulin, with three simpler alternative nutrition protocols in clinically evaluated virtual trials.
机译:背景和目的:高血糖在成人重症监护病房(ICU)中是司空见惯的,并与发病率和死亡率增加有关。 有效的血糖控制(GC)可以降低发病率和死亡率,但已被证明困难。 STAR是一种基于模型的GC协议,通过改变胰岛素和营养干预措施来唯一维持正常性血症,并且已被证明有效地控制ICU中的血糖(BG)。 然而,大多数ICU GC协议只改变胰岛素干预,使得明星的可变营养方面较少临床上所需。 本文比较了STAR调节胰岛素的性能,在临床评估虚拟试验中具有三种更简单的替代营养方案。

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