|
Diabetes Technology & Therapeutics
Run-to-Run Control of Meal-Related Insulin Dosing
To cite this paper:
Howard Zisser, Lois Jovanovic, Frank Doyle, Paulina Ospina, Camelia Owens.
Diabetes Technology & Therapeutics.
February 1, 2005,
7(1): 48-57.
doi:10.1089/dia.2005.7.48.
Howard Zisser, M.D.Sansum Diabetes Research Institute, University of California, Santa Barbara, California. Lois Jovanovic, M.D.Sansum Diabetes Research Institute, University of California, Santa Barbara, California. Frank Doyle III, Ph.D.Department of Chemical Engineering, University of California, Santa Barbara, California. Paulina Ospina, M.H.S.Sansum Diabetes Research Institute, University of California, Santa Barbara, California. Camelia Owens, Ph.D.University of Delaware, Newark, Delaware. Background: This study was designed to determine if it was feasible to use a run-to-run algorithm to improve postprandial glucose concentrations in individuals with type 1 diabetes mellitus (T1DM). Methods: Fourteen subjects were recruited for this 10-week study. During the initial phases of the study, the following information was derived for each subject: basal insulin infusion rates, insulin-to-carbohydrate ratios, insulin correction factors for hyperglycemia, and insulin sensitivities. During the final phases, the algorithm was used to suggest preprandial insulin doses, with a goal of bringing the postprandial glucose into a predetermined target range within 3–7 days. Results: In the single-meal phase (phase 5), 33% of the subject-meal responses were convergent in 3–4 days to a clinically acceptable range, 33% always stayed in range, and 33% had divergent responses, incorrect sensitivities, and/or other mitigating circumstances. In the threemeal phase (phase 6), 41% of the subject-meal responses were convergent in 3–4 days to a clinically acceptable range, 26% were always in range, and 33% had divergent responses, incorrect sensitivities, and/or other mitigating circumstances. Conclusions: Overall, we were able to safely demonstrate that run-to-run control can be used to manage meal-related insulin in subjects with T1DM.  This paper was cited by:Benefits of a bolus calculator in pre- and postprandial glycaemic control and meal flexibility of paediatric patients using continuous subcutaneous insulin infusion (CSII) B. Shashaj, E. Busetto, N. Sulli Diabetic Medicine. Oct 2008, Vol. 25, No. 9: 1036-1042 CrossRef A run-to-run framework for prandial insulin dosing: handling real-life uncertainty C. C. Palerm, H. Zisser, L. Jovanovič, F. J. Doyle International Journal of Robust and Nonlinear Control. 2007, Vol. 17, No. 13: 1194 CrossRef Run-to-Run Control of Blood Glucose Concentrations for People With Type 1 Diabetes Mellitus C. Owens, H. Zisser, L. Jovanovic, B. Srinivasan, D. Bonvin, F.J. Doyle IEEE Transactions on Biomedical Engineering. 2006, Vol. 53, No. 6: 996 CrossRef Editorial: Symposium on Algorithms for Continuous Glucose Monitoring and Control B. Wayne Bequette Diabetes Technology & Therapeutics. Feb 2005, Vol. 7, No. 1: 1-2 Citation | Full Text PDF | Reprints & PermissionsA Critical Assessment of Algorithms and Challenges in the Development of a Closed-Loop Artificial Pancreas B. Wayne Bequette Diabetes Technology & Therapeutics. Feb 2005, Vol. 7, No. 1: 28-47 Abstract | Full Text PDF | Reprints & Permissions
|
|