Clinical Data Validation of an improved, physiologically relevant Critical Care Glycaemic Control Model
Introduction: Stress induced hyperglycaemia is prevalent in critical care. Tight glycaemic control is associated with significantly improved clinical outcomes. Providing tight control is difficult due to evolving patient condition and drug therapies. Model-based/derived methods (e.g. SPRINT) have shown significant mortality reductions. This research validates an improved metabolic control model and its parameters based on predictive capability for use in real-time glycaemic control.