Critical care, like many healthcare areas, is under a dual assault from significantly
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …

Healthcare is under increasing demand pressure as societies age and expectations rise,
multiplied by increasing incidence of chronic diseases and decreasing available funding …

Background The changes in metabolic pathways and metabolites due to critical illness result
in a highly complex and dynamic metabolic state, making safe, effective management of …

Accurate glycemic control (AGC) is difficult due to excessive hypoglycemia risk. Stochastic
TARgeted (STAR) glycemic control forecasts changes in insulin sensitivity to calculate a …

Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to
achieve consistently. STAR (Stochastic TARgeted) is a flexible, model-based TGC approach …

Background: Elevated blood glucose (BG) concentrations (Hyperglycaemia) are a common
complication in critically ill patients. Insulin therapy is commonly used to treat …

Background Hyperglycaemia is associated with adverse outcomes in the intensive care unit,
and initial studies suggested outcome benefits of glycaemic control (GC). However …

Healthcare and intensive care unit (ICU) medicine in particular, are facing a devastating
tsunami of rising demand multiplied by increasing chronic disease and aging demographics …

Background Effective tight glycemic control (TGC) can improve outcomes in critical care
patients, but it is difficult to achieve consistently. Insulin sensitivity defines the metabolic …

Introduction Tight glycemic control (TGC) has shown benefits but has been difficult to
achieve consistently. STAR (Stochastic TARgeted) is a flexible, model-based TGC approach …