A Novel Adaptive Basal Therapy Based on the Value and Rate of Change of Blood Glucose

Background: Modern insulin pump therapy for type 1 diabetes mellitus offers the freedom to program several basal profiles that may accommodate diurnal variability in insulin sensitivity and activity level. However, these basal profiles do not change even if a pending hypoglycemic or hyperglycemic event is foreseen. New insulin pumps could receive a direct feed of glucose values from a continuous glucose monitoring (CGM) system and could enable dynamic basal adaptation to improve glycemic control. Method: The proposed method is a two-step procedure. After the design of an initial basal profile, an adaptation of the basal rate is suggested as a gain multiplier based on the current CGM glucose value and its rate of change (ROC). Taking the glucose value and its ROC as axes, a two-dimensional plane is divided into a nine-zone mosaic, where each zone is given a predefined basal multiplier; for example, a basal multiplier of zero indicates a recommendation to shut off the pump. Results: The proposed therapy was evaluated on 20 in silico subjects (ten adults and ten adolescents) in the Food and Drug Administration-approved UVa/Padova simulator. Compared with conventional basal therapy, the proposed basal adjustment improved the percentage of glucose levels that stayed in the range of 60–180 mg/dl for all 20 subjects. In addition, the adaptive basal therapy reduced the average blood glucose index values. Conclusions: The proposed therapy provides the flexibility to account for insulin sensitivity variations that may result from stress and/or physical activities. Because of its simplicity, the proposed method could be embedded in a chip in a future artificial pancreatic β cell or used in a “smart” insulin pump.

[1]  C. C. Palerm,et al.  A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes. , 2008, Journal of process control.

[2]  S. Genuth,et al.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. , 1993, The New England journal of medicine.

[3]  Eyal Dassau,et al.  Coordinated Basal—Bolus Infusion for Tighter Postprandial Glucose Control in Insulin Pump Therapy , 2009, Journal of diabetes science and technology.

[4]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[5]  Howard Zisser,et al.  Glucose Estimation and Prediction through Meal Responses Using Ambulatory Subject Data for Advisory Mode Model Predictive Control , 2007, Journal of diabetes science and technology.

[6]  Eyal Dassau,et al.  Bolus calculator: a review of four "smart" insulin pumps. , 2008, Diabetes technology & therapeutics.

[7]  C. Cobelli,et al.  In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes , 2009, Journal of diabetes science and technology.

[8]  M. Schervish P Values: What They are and What They are Not , 1996 .

[9]  F. Doyle,et al.  Detection of a Meal Using Continuous Glucose Monitoring , 2008, Diabetes Care.

[10]  D. Cox,et al.  Symmetrization of the Blood Glucose Measurement Scale and Its Applications , 1997, Diabetes Care.

[11]  Paul Grant,et al.  A new approach to diabetic control: fuzzy logic and insulin pump technology. , 2007, Medical engineering & physics.

[12]  C. Chia,et al.  Glucose sensors: toward closed loop insulin delivery. , 2004, Endocrinology and metabolism clinics of North America.

[13]  Howard Zisser,et al.  Closed-Loop Control and Advisory Mode Evaluation of an Artificial Pancreatic β Cell: Use of Proportional-Integral-Derivative Equivalent Model-Based Controllers , 2008, Journal of diabetes science and technology.

[14]  L. Magni,et al.  Evaluating the Efficacy of Closed-Loop Glucose Regulation via Control-Variability Grid Analysis , 2008, Journal of diabetes science and technology.

[15]  Comparison of the Numerical and Clinical Accuracy of Four Continuous Glucose Monitors , 2008, Diabetes Care.

[16]  Lutz Heinemann,et al.  Continuous glucose monitoring by means of the microdialysis technique: underlying fundamental aspects. , 2003, Diabetes technology & therapeutics.