A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sensitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of<1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promisi...
peer reviewedHyperglycaemia is a common complication in the intensive care unit (ICU), and is associ...
Background: Critically ill patients are often hyperglycemic and insulin resistant, as well as highly...
Hyperglycaemia due to reduced insulin sensitivity is prevalent in critically ill patients and increa...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A comprehensive, more physiologically relevant Intensive Control Insulin-Nutrition- Glucose (ICING)...
Intensive insulin therapy (IIT) and tight glycaemic control (TGC), particularly in intensive care u...
In the intensive care units, hyperglycaemia among the critically ill is associated with poor outcome...
Hyperglycaemia in critical care is common and has been linked to increased mortality and morbidity. ...
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage ...
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage ...
Mathematical modelling of glucose-insulin system is significantly important to understand the body r...
Critically ill intensive care unit (ICU) patients frequently experience acute insulin resistance (lo...
peer reviewedHyperglycaemia is a common complication in the intensive care unit (ICU), and is associ...
Background: Critically ill patients are often hyperglycemic and insulin resistant, as well as highly...
Hyperglycaemia due to reduced insulin sensitivity is prevalent in critically ill patients and increa...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to acc...
A comprehensive, more physiologically relevant Intensive Control Insulin-Nutrition- Glucose (ICING)...
Intensive insulin therapy (IIT) and tight glycaemic control (TGC), particularly in intensive care u...
In the intensive care units, hyperglycaemia among the critically ill is associated with poor outcome...
Hyperglycaemia in critical care is common and has been linked to increased mortality and morbidity. ...
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage ...
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage ...
Mathematical modelling of glucose-insulin system is significantly important to understand the body r...
Critically ill intensive care unit (ICU) patients frequently experience acute insulin resistance (lo...
peer reviewedHyperglycaemia is a common complication in the intensive care unit (ICU), and is associ...
Background: Critically ill patients are often hyperglycemic and insulin resistant, as well as highly...
Hyperglycaemia due to reduced insulin sensitivity is prevalent in critically ill patients and increa...