Literature DB >> 30060692

Control Limitations in Models of T1DM and the Robustness of Optimal Insulin Delivery.

Christopher Townsend1, Maria M Seron1, Graham C Goodwin1, Bruce R King2.   

Abstract

BACKGROUND: In insulin therapy, the blood glucose level is constrained from below by the hypoglycemic threshold, that is, the blood glucose level must remain above this threshold. It has been shown that this constraint fundamentally limits the ability to lower the maxima of the blood glucose level predicted by many mathematical models of glucose metabolism. However, it is desirable to minimize hyperglycemia as well. Hence, a desirable insulin input is one that minimizes the maximum glucose concentration while causing it to remain above the hypoglycemic, or higher, threshold. It has been shown that this input, which we call optimal, is characterized by glucose profiles for which either each maximum of the glucose concentration is followed by a minimum or each minimum is followed by a maximum.
METHODS: We discuss the implication of this inherent control limitation for clinical practice and test, through simulation, the robustness of the optimal input to a number of different model and parameter uncertainties. We further develop guidelines on how to design an optimal insulin input that is robust to such uncertainties.
RESULTS: The optimal input is in general not robust to uncertainties. However, a number of strategies may be used to ensure the blood glucose level remains above the hypoglycemic threshold and the maximum blood glucose level achieved is less than that achieved by standard therapy.
CONCLUSIONS: An understanding of the limitations on the controllability of the blood glucose level is important for future treatment improvements and the development of artificial pancreas systems.

Entities:  

Keywords:  analytic models; artificial pancreas; control limitations; glucose control; optimal and robust control; type 1 diabetes

Mesh:

Substances:

Year:  2018        PMID: 30060692      PMCID: PMC6134626          DOI: 10.1177/1932296818789950

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  12 in total

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2.  Dynamic modeling of exercise effects on plasma glucose and insulin levels.

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Review 3.  Impact of fat, protein, and glycemic index on postprandial glucose control in type 1 diabetes: implications for intensive diabetes management in the continuous glucose monitoring era.

Authors:  Kirstine J Bell; Carmel E Smart; Garry M Steil; Jennie C Brand-Miller; Bruce King; Howard A Wolpert
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4.  Quest for the artificial pancreas: combining technology with treatment.

Authors:  Rebecca A Harvey; Youqing Wang; Benyamin Grosman; Matthew W Percival; Wendy Bevier; Daniel A Finan; Howard Zisser; Dale E Seborg; Lois Jovanovic; Francis J Doyle; Eyal Dassau
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5.  Control oriented model of insulin and glucose dynamics in type 1 diabetics.

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6.  Dynamic modeling of free fatty acid, glucose, and insulin: an extended "minimal model".

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7.  Pharmacokinetic and pharmacodynamic properties of insulin aspart and human insulin.

Authors:  Ole Østerberg; Lars Erichsen; Steen H Ingwersen; Anne Plum; Henrik E Poulsen; Paolo Vicini
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8.  The UVA/PADOVA Type 1 Diabetes Simulator: New Features.

Authors:  Chiara Dalla Man; Francesco Micheletto; Dayu Lv; Marc Breton; Boris Kovatchev; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2014-01-01

9.  Analysis of three T1DM simulation models for evaluating robust closed-loop controllers.

Authors:  P Colmegna; R S Sánchez Peña
Journal:  Comput Methods Programs Biomed       Date:  2013-10-15       Impact factor: 5.428

10.  Protein and fat meal content increase insulin requirement in children with type 1 diabetes - Role of duration of diabetes.

Authors:  M van der Hoogt; J C van Dyk; R C Dolman; M Pieters
Journal:  J Clin Transl Endocrinol       Date:  2017-10-10
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  1 in total

1.  Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon.

Authors:  Afroza Shirin; Fabio Della Rossa; Isaac Klickstein; John Russell; Francesco Sorrentino
Journal:  PLoS One       Date:  2019-03-20       Impact factor: 3.240

  1 in total

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