Effectiveness of intravenous infusion algorithms for glucose control in diabetic patients using different Simulation models

Industrial and Engineering Chemistry Research

Volumn 48, Issue 9, 2009, Pages 4402-4414

  Farmer Jr , Terry G ^a   Edgar, Thomas F ^a   Peppas, Nicholas A ^a,b  

^a The University of Texas at Austin   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL DATA; CLOSED-LOOP; CONTROL EFFECTIVENESS; DIABETIC PATIENT; GLUCOSE CONTROL; GLUCOSE LEVEL; INSULIN INFUSIONS; MINIMAL MODEL; MODEL DISCREPANCIES; NORMAL CONDITION; PID CONTROL; PROPORTIONAL CONTROL; PROPORTIONAL PLUS INTEGRALS; SIMULATED RESPONSE; SIMULATION MODEL; SIMULATION RESULT; TYPE I DIABETES;

CONTROLLERS; FEEDFORWARD CONTROL; GLUCOSE; INSULIN; PROPORTIONAL CONTROL SYSTEMS; SUGAR (SUCROSE);

SIMULATORS;

EID: 67049167225     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie800871t     Document Type: Article

References (30)

1. Bequette, B. W. A Critical Assessment of Algorithms and Challenges In the Development of a Closed-Loop Artificial Pancreas. Diabetes Technol. Ther 2005, 7, 28-47.
2. Parker, R. S.; Doyle, F. J., III; Peppas, N. A. The Intravenous Route To Blood Glucose Control. IEEE. Eng. Med. Biol. 2001, 20, 65-73.
3. Albisser, A. M.; Leibel, B. S.; Ewart, T. G.; Davidovac, Z.; Botz, C. K.; Zingg, W. An Artificial Endocrine Pancreas. Diabetes 1974, 23, 389-396.
4. Clemens, A. H. Feedback Control Dynamics For Glucose Controlled Insulin Infusion Systems. Med. Prog. Technol. 1979, 6, 91-98.
5. Nomura, M.; Shichiri, M.; Kawamori, R.; Yamasaki, Y.; Iwama, N.; Abe, H. A Mathematical Insulin-Secretion Model and Its Validation In Isolated Rat Pancreatic Islets Perfusion. Comput. Biomed. Res. 1984, 17, 570-579.
6. Marchetti, G.; Barolo, M.; Jovanovic, L.; Zisser, H.; Seborg, D. E. An Improved PID Switching Control Strategy for Type I Diabetes. IEEE Trons. Biomed. Eng. 2008, 55, 857-865.
7. Fisher, M. E. A Semiclosed-Loop Algorithm For the Control of Blood Glucose Levels In Diabetics. IEEE Tran. Biomed. Eng. 1991, 38, 57-61.
8. Ollerton, R. L. Application of Optimal Control Theory to Diabetes Mellitus. Int. J. Control 1989, 50, 2503-2522.
9. Parker, R. S.; Doyle, F. J.; Peppas, N. A. A Model-Based Algorithm For Blood Glucose Control In Type I Diabetic Patients. IEEE Trans. Biomed. Eng. 1999, 46, 148-157.
10. Parker, R. S.; Doyle, F. J.; Ward, J. H.; Peppas, N. A. Robust H∞ Glucose Control In Diabetes Using a Physiological Model. AIChE J. 2000, 46, 2537-2549.
11. Steil, G. M.; Panteleon, A. E.; Rebrin, K. Closed-Loop Insulin Delivery-the Path to Physiological Glucose Control. Adv. Drug Delivery Rev. 2004, 56, 125-144.
12. El-Khatib, F. H.; Jiang, J.; Damiano, E. R. Adaptive Closed-Loop Control Provides Blood-Glucose Regulation Using Dual Subcutaneous Insulin and Glucagon Infusion In Diabetic Swine. J. Diabetes Sci. Technol. 2007, 1, 181-192.
13. Plank, J.; Blaha, J.; Cordingley, J.; Wilinska, M. E.; Chassin, L. J.; Morgan, C.; Squire, S.; Haluzik, M.; Kremen, J.; Svacina, S.; Toller, W.; Plasnik, A.; Ellmerer, M.; Hovorka, R.; Pieber, T. R. Multicentric, Randomized, Controlled Trial to Evaluate Blood Glucose Control by the Model Predictive Control Algorithm Versus Routine Glucose Management Protocols in Intensive Care Unit Patients. Diabetes Care 2006, 29, 271-276.
14. Schaller, H. C.; Schaupp, L.; Bodenlenz, M.; Wilinska, M. E.; Chassin, L. J.; Wach, P.; Vering, T.; Hovorka, R.; Pieber, T. R. On-line Adaptive Algorithm with Glucose Prediction Capacity for Subcutaneous Closed Loop Control of Glucose: Evaluation Under Fasting Conditions in Patients with Type 1 Diabetes. Diabetic Med 2006, 23, 90-93.
15. Bergman, R. N.; Ider, Y. Z.; Bowden, C. R.; Cobelli, C. Quantitative Estimation of Insulin Sensitivity. Am. J. Chysiol. 1979, 236, E667-E677.
16. Furler, S. M.; Kraegen, E. W.; Smallwood, R. H.; Chisolm, D. J. Blood Glucose Control by Intermittent Loop Closure in the Basal Mode: Computer Simulation Studies with a Diabetic Model. Diabetes Care 1985, 8, 553-561.
17. Lynch, S. M.; Bequette, B. W. Estimation-Based Model Predictive Control of Blood Glucose In Type I Diabetics: A Simulation Study. In Proceedings of the IEEE 27th Annual Northeastern Bioengineering Conference, Storrs, CT, 2001; pp 79-80.
18. Lynch, S. M.; Bequette, B. W. Model Predictive Control of Blood Glucose In Type I Diabetics Using Subcutaneous Glucose Measurements. In Proceedings of the 2002 American Control Conference, Anchorage, AK, 2002; pp 4039-4043.
19. Sorensen, J. T. A Physiologic Model of Glucose Metabolism in Man and Its Use to Design and Assess Improved Insulin Therapies For Diabetes. Ph. D. Thesis, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, 1985.
20. Hovorka, R.; Shojaee-Moradie, F.; Carroll, P. V.; Chassin, L. J.; Gowrie, I. J.; Jackson, N. C.; Tudor, R. S.; Umpleby, A. M.; Jones, R. H. Partitioning Glucose Distribution/Transport, Disposal, and Endogenous Production During IVGTT. Am. J. Physiol. 2002, 282, E992-1007.
21. Hovorka, R.; Canonico, V.; Chassin, L. J.; Haueter, U.; Massi- Benedetti, M.; Federici, M. O.; Pieber, T. R.; Schaller, H. C; Schaupp, L.; Vering, T.; Wilinska, M. E. Nonlinear Model Predictive Control of Glucose Concentration In Subjects With Type I Diabetes. Physiol. Meas. 2004, 25, 905-920.
22. Cobelli, C; Bettini, F.; Caumo, A.; Quon, M. J. Overestimation of Minimal Model Glucose Effectiveness In Presence of Insulin Response Is Due to Undermodeling. Am. J. Physiol. 1998, 277, E1031-E1036.
23. Bequette, B. W. Process Control: Modeling, Design, and Simulation, 1st ed.; Prentice Hall: Upper Saddle River, NJ, 2003.
24. Roy, A.; Parker, R. S. Dynamic Modeling of Exercise Effects On Plasma Glucose and Insulin Levels Proceedings ADCHEM 2006, Gramado, Brazil, 2006.
25. Lenart, P. J.; Parker, R. S. Modeling Exercise Effects in Type I Diabetic Patients Proceedings of the 15th IFAC World Congress On Automatic Control, Barcelona, Spain, 2002.
26. Ahlborg, G.; Felig, P.; Hagenfeldt, L.; Hendler, R.; Wahren, J. Substrate Turnover During Prolonged Exercise In Man. J. Clin. Invest. 1974, 53, 1080-1090.
27. Felig, R.; Wahren, J. C. Fuel Homeostasis in Exercise. New Engl. J. Med. 1975, 293, 1078-1084.
28. Seborg, D. E.; Edgar, T. F.; Mellichamp, D. A. Process Dynamics and Control, 2nd ed.; Wiley, New York, 2004.
29. Shampine, L. F.; Reichelt, M. W. The MATLAB ODE Suite. SIAM J. Sci. Comput. 1997, 18, 1-22.
30. Guyton, A.; Hall, J. Textbook of Medical Physiology, 11th ed.; Elsevier Saunders, : Philadelphia, PA, 2006.