In Silico Simulation of Long-Term Type 1 Diabetes Glycemic Control Treatment Outcomes (2008)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Mechanical Engineering.
Objectives: The goals of this study were to develop (1) a safe and effective protocol for the clinical control of type 1 diabetes using conventional self-monitoring blood glucose (SMBG) measurements and multiple daily injections with insulin analogues, and (2) an in silico simulation tool of type 1 diabetes to predict long-term glycemic control outcomes of clinical interventions. Methods: The virtual patient method was used to develop a simulation tool for type 1 diabetes using data from a type 1 diabetes patient cohort (n = 40). The tool was used to test the adaptive protocol (AC) and a conventional intensive insulin therapy (CC) against results from a representative control cohort. Optimal and suboptimal basal insulin replacements were evaluated as a function of SMBG frequency in conjunction with the (AC and CC) prandial control protocols. Results: In long-term glycemic control, the AC protocol significantly decreased hemoglobin A1c in conditions of suboptimal basal insulin replacement for SMBG frequencies =6/day, and reduced the occurrence of mild and severe hypoglycemia by 86–100% over controls, over all SMBG frequencies in conditions of optimal basal insulin.
CitationWong, X.W., Chase, J.G., Hann, C.E., Lotz, T., Lin, J., Le Compte, A.J., Shaw, G.M. (2008) In Silico Simulation of Long-Term Type 1 Diabetes Glycemic Control Treatment Outcomes. Journal of Diabetes Science and Technology, 2(3), pp. 436-449.
This citation is automatically generated and may be unreliable. Use as a guide only.
Showing items related by title, author, creator and subject.
Development of a Clinical Type 1 Diabetes Metabolic System Model and in Silico Simulation Tool Wong, X.W.; Chase, Geoff; Hann, C.E.; Lotz, T.; Lin, J.; Le Compte, A.J.; Shaw, Geoff (University of Canterbury. Mechanical Engineering., 2008)Objectives: To develop a safe and effective protocol for the clinical control of Type 1 diabetes using conventional self-monitoring blood glucose (SMBG) measurements, and multiple daily injection (MDI) with insulin ...
In Silico Monte Carlo Virtual Trials of a Model-Based Adaptive Type 1 Diabetes Mellitus Control Protocol Wong, X.W.; Chase, Geoff; Shaw, Geoff; Lin, J.; LeCompte, A.J.; Hann, C.E. (University of Canterbury. Mechanical Engineering, 2008)Objective: To test an in silico Type 1 diabetes control protocol while accounting for realistic physiological variability, and measurement and delivery error Methods: A Monte Carlo (MC) analysis uses clinically reported ...
A Subcutaneous Insulin Pharmacokinetic Model for Computer Simulation in a Diabetes Decision Support Role: Validation and Simulation Chase, Geoff; Hann, C.E.; Shaw, Geoff; Lotz, T.F.; Lin, J.; Le Compte, A.J.; Wong, J. (University of Canterbury. Mechanical Engineering., 2008)Objective: The goal of this study was to validate a previously derived and identified physiological subcutaneous (SC) insulin absorption model for computer simulation in a clinical diabetes decision support role using ...