Generalisability of a virtual trials method for glycaemic control in intensive care
Background: Elevated blood glucose (BG) concentrations (Hyperglycaemia) are a common
complication in critically ill patients. Insulin therapy is commonly used to treat …
complication in critically ill patients. Insulin therapy is commonly used to treat …
Nutrition delivery of a model-based ICU glycaemic control system
Background Hyperglycaemia is commonplace in the adult intensive care unit (ICU),
associated with increased morbidity and mortality. Effective glycaemic control (GC) can …
associated with increased morbidity and mortality. Effective glycaemic control (GC) can …
[HTML][HTML] Model-based subcutaneous insulin for glycemic control of pre-term infants in the neonatal intensive care unit
Hyperglycaemia is a common problem in neonatal intensive care units (NICUs). Achieving
good control can result in better outcomes for patients. However, good control is difficult …
good control can result in better outcomes for patients. However, good control is difficult …
Multi-input stochastic prediction of insulin sensitivity for tight glycaemic control using insulin sensitivity and blood glucose data
Background Glycaemic control in the intensive care unit is dependent on effective prediction
of patient insulin sensitivity (SI). The stochastic targeted (STAR) controller uses a 2D …
of patient insulin sensitivity (SI). The stochastic targeted (STAR) controller uses a 2D …
Nutrition delivery, workload and performance in a model-based ICU glycaemic control system
Abstract Background and Objective Hyperglycaemia is commonplace in the adult intensive
care unit (ICU), and has been associated with increased morbidity and mortality. Effective …
care unit (ICU), and has been associated with increased morbidity and mortality. Effective …
Risk and reward: extending stochastic glycaemic control intervals to reduce workload
Background STAR is a model-based, personalised, risk-based dosing approach for
glycaemic control (GC) in critically ill patients. STAR provides safe, effective control to nearly …
glycaemic control (GC) in critically ill patients. STAR provides safe, effective control to nearly …
Virtual patient trials of a multi-input stochastic model for tight glycaemic control using insulin sensitivity and blood glucose data
Objective Safe, effective glycaemic control (GC) requires accurate prediction of future patient
insulin sensitivity (SI), balancing the risk of hyper-and hypo-glycaemia. The stochastic …
insulin sensitivity (SI), balancing the risk of hyper-and hypo-glycaemia. The stochastic …
Glycemic control for critically ill patients using zone model predictive control
S Wu, E Furutani, T Sugawara, T Asaga… - IEEJ Transactions on …, 2021 - Wiley Online Library
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) …
shown that keeping blood glucose (BG) within the range of 80–110 mg/dl (4.4–6.1 mmol/l) …
Simulation and qualitative analysis of glucose variability, mean glucose, and hypoglycemia after subcutaneous insulin therapy for stress hyperglycemia
RJ Strilka, MC Stull, MS Clemens, SC McCaver… - Theoretical Biology and …, 2016 - Springer
Background The critically ill can have persistent dysglycemia during the “subacute” recovery
phase of their illness because of altered gene expression; it is also not uncommon for these …
phase of their illness because of altered gene expression; it is also not uncommon for these …
Creating smooth SI. B-spline basis function representations of insulin sensitivity
In the intensive care unit (ICU), stress-induced insulin resistance leading to hyperglycemia is
commonplace. If safe and effective glycemic control (GC) can be provided, a significant …
commonplace. If safe and effective glycemic control (GC) can be provided, a significant …