Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care

Computer Methods and Programs in Biomedicine

Volumn 89, Issue 2, 2008, Pages 141-152

  Lin, Jessica ^a   Lee, Dominic ^a   Chase, J Geoffrey ^a   Shaw, Geoffrey M ^b,c   Le Compte, Aaron ^a   Lotz, Thomas ^a   Wong, Jason ^a   Lonergan, Timothy ^a   Hann, Christopher E ^a  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b UNIVERSITY OF OTAGO   (New Zealand)

^c CHRISTCHURCH HOSPITAL   (New Zealand)

Author keywords

Adaptive control; Blood glucose; Control protocol simulations; Insulin sensitivity; Intensive care; Probability intervals; Stochastic modelling

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; INSULIN; INTENSIVE CARE UNITS; PROBABILITY DENSITY FUNCTION; STOCHASTIC MODELS;

BLOOD GLUCOSE; CONTROL PROTOCOL SIMULATIONS; INSULIN SENSITIVITY; PROBABILITY INTERVALS; STOCHASTIC MODELING;

HEALTH CARE;

GLUCOSE;

ARTICLE; CRITICALLY ILL PATIENT; DIABETES CONTROL; GLUCOSE BLOOD LEVEL; INSULIN SENSITIVITY; INTENSIVE CARE; PROBABILITY; SIMULATION; STOCHASTIC MODEL; VALIDATION STUDY;

AGED; BLOOD GLUCOSE; CRITICAL CARE; FEMALE; GLYCEMIC INDEX; HUMANS; INSULIN RESISTANCE; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEW ZEALAND; REPRODUCIBILITY OF RESULTS; STOCHASTIC PROCESSES;

EID: 37849031253     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.04.006     Document Type: Article

References (39)

1. Chase J., Shaw G.M., Wong X.W., Lotz T., Lin J., and Hann C.E. Model-based glycaemic control in critical care-a review of the state of the possible. Biomed. Signal Process. Control 1 1 (2006) 3-21
2. Krinsley J.S. Association between hyperglycemia and increased hospital mortality in a heterogeneous population of critically ill patients. Mayo Clin. Proc. 78 12 (2003) 1471-1478
3. Van den Berghe G., Wouters P., Weekers F., Verwaest C., Bruyninckx F., Schetz M., Vlasselaers D., Ferdinande P., Lauwers P., and Bouillon R. Intensive insulin therapy in the critically ill patients. N. Engl. J. Med. 345 19 (2001) 1359-1367
4. Chase J.G., Hann C.E., Shaw G.M., Wong X.W., Lin J., Lotz T., Le Compte A.J., and Lonergan T. An overview of glycemic control in critical care-relating performance and clinical results. J. Diabetes Sci. Technol. 1 I (2006) 82-91. http://www.journalofdst.org
5. Turina M., Christ-Crain M., and Polk Jr. H.C. Diabetes and hyperglycemia: strict glycemic control. Crit. Care Med. 34 Suppl. 9 (2006) S291-S300
6. Lonergan T., LeCompte A., Willacy M., Chase J.G., Shaw G.M., Wong X.W., Lotz T., Lin J., and Hann C.E. A simple insulin-nutrition protocol for tight glycemic control in critical illness: development and protocol comparison. Diabetes Technol. Ther. 8 2 (2006) 191-206
7. Lonergan T., LeCompte A., Willacy M., Chase J., Shaw G., Hann C., Lotz T., Lin J., and Wong X. A pilot study of the SPRINT protocol for tight glycaemic control in critically ill patients. Diabetes Technol. Ther. 84 4 (2006) 449-462
8. 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., and 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 29 2 (2006) 271-276
9. Chee F., Fernando T.L., Savkin A.V., and van Heeden V. Expert PID control system for blood glucose control in critically ill patients. IEEE Trans. Inf. Technol. Biomed. 7 4 (2003) 419-425
10. Chase J.G., Shaw G.M., Lin J., Doran C.V., Hann C., Robertson M.B., Browne P.M., Lotz T., Wake G.C., and Broughton B. Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care. Med. Eng. Phys. 27 1 (2005) 1-11
11. Chase J., Shaw G., LeCompte A., Lee D., Lonergan T., Willacy M., Wong X., Lin J., Lotz T., and Hann C. Tight glycaemic control in critical care using insulin and nutrition-the SPRINT protocol. Proceedings of the Sixth Annual Diabetes Technology Society Meeting (2006), Diabetes Technology Society, Atlanta, GA
12. Wong X.W., Singh-Levett I., Hollingsworth L.J., Shaw G.M., Hann C.E., Lotz T., Lin J., Wong O.S., and Chase J.G. A novel, model-based insulin and nutrition delivery controller for glycemic regulation in critically ill patients. Diabetes Technol. Ther. 8 2 (2006) 174-190
13. Van den Berghe G., Wilmer A., Hermans G., Meersseman W., Wouters P.J., Milants I., Van Wijngaerden E., Bobbaers H., and Bouillon R. Intensive insulin therapy in the medical ICU. N. Engl. J. Med. 354 5 (2006) 449-461
14. Lonergan T., Compte A.L., Willacy M., Chase J.G., Shaw G.M., Hann C.E., Lotz T., Lin J., and Wong X.W. A pilot study of the SPRINT protocol for tight glycemic control in critically Ill patients. Diabetes Technol. Ther. 8 4 (2006) 449-462
15. Hann C.E., Chase J.G., Lin J., Lotz T., Doran C.V., and Shaw G.M. Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model. Comput. Methods Programs Biomed. 77 3 (2005) 259-270
16. Hann C., Chase J., and Shaw G. Integral-based identification of patient specific parameters for a minimal cardiac model. Comput. Methods Programs Biomed. 81 2 (2006) 181-192
17. Lotz T.F., Chase J.G., McAuley K.A., Shaw G.M., Hann C.E., and Mann J.I. A highly correlated method to assess insulin resistance in broad populations. Proceedings of the 12th International Confon Biomedical Engineering (ICBME). Singapore (2005)
18. Lotz T., Chase J., McAuley K., Lin J., Wong X., Hann C., and Andreassen S. Integral-based identification of a physiological insulin and glucose model on euglycaemic clamp trials. Proceedings of the 14th IF AC Symposium on System Identification (SYSID 2006). Newcastle, Australia (2006)
19. Lotz T., Chase J., McAuley K., Lee D., Lin J., Hann C., and Mann J.I. Transient and steady state euglycemic clamp validation of a model for glycemic control and insulin sensitivity testing. Diabetes Technol. Ther. 8 3 (2006) 338-346
20. Carson E.R., and Cobelli C. Modelling methodology for physiology and medicine. Academic Press Series in Biomedical Engineering (2001), Academic Press, San Diego pp. xiv, 421
21. Lin J., Lee D.S., Chase J.G., Hann C.E., Lotz T., and Wong X.W. Stochastic modelling of insulin sensitivity variability in critical care. Biomed. Signal Process. Control 1 (2006) 229-242
22. Natali A., Gastaldelli A., Camastra S., Sironi A.M., Toschi E., Masoni A., Ferrannini E., and Mari A. Dose-response characteristics of insulin action on glucose metabolism: a non-steady-state approach. Am. J. Physiol. Endocrinol. Metab. 278 5 (2000) E794-E801
23. Prigeon R.L., Roder M.E., Porte Jr. D., and Kahn S.E. The effect of insulin dose on the measurement of insulin sensitivity by the minimal model technique. Evidence for saturable insulin transport in humans. J. Clin. Invest. 97 2 (1996) 501-507
24. Scott D.W. Multivariate density estimation: theory, practice, and visualization. Wiley Series in Probability and Mathematical Statistics (1992), John Wiley & Sons Inc., New York
25. Ferrannini E., and Cobelli C. The kinetics of insulin in man. II. Role of the liver. Diabetes Metab. Rev. 3 2 (1987) 365-397
26. Sherwin R.S., Kramer K.J., Tobin J.D., Insel P.A., Liljenquist J.E., Berman M., and Andres R. A model of the kinetics of insulin in man. J. Clin. Invest. 53 5 (1974) 1481-1492
27. Ferrannini E., Gastaldelli A., Miyazaki Y., Matsuda M., Mari A., and DeFronzo R.A. beta-Cell function in subjects spanning the range from normal glucose tolerance to overt diabetes: a new analysis. J. Clin. Endocrinol. Metab. 90 1 (2005) 493-500
28. Van Cauter E., Mestrez F., Sturis J., and Polonsky K.S. Estimation of insulin secretion rates from C-peptide levels. Comparison of individual and standard kinetic parameters for C-peptide clearance. Diabetes 41 3 (1992) 368-377
29. Ellemann K., Thorsteinsson B., Fugleberg S., Feldt-Rasmussen B., Andersen O.O., Gronbaek P., and Binder C. Kinetics of insulin disappearance from plasma in cortisone-treated normal subjects. Clin. Endocrinol. (Oxford) 26 5 (1987) 623-628
30. Thorell A., Rooyackers O., Myrenfors P., Soop M., Nygren J., and Ljungqvist O.H. Intensive insulin treatment in critically ill trauma patients normalizes glucose by reducing endogenous glucose production. J. Clin. Endocrinol. Metab. 89 11 (2004) 5382-5386
31. DeFronzo R.A., Tobin J.D., and Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am. J. Physiol. 237 3 (1979) E214-E223
32. Insel P.A., Liljenquist J.E., Tobin J.D., Sherwin R.S., Watkins P., Andres R., and Berman M. Insulin control of glucose metabolism in man. J. Clin. Invest. 55 5 (1975) 1057-1066
33. Transberg K., Hagander P., and Thorell J. Disappearance of insulin in man: variation with the plasma insulin level. Acta Endocrinol. (Copenh.) 97 (1981) 391-397
34. McCowen K.C., Malhotra A., and Bistrian B.R. Stress-induced hyperglycemia. Crit. Care Clin. 17 1 (2001) 107-124
35. Casella G., and Berger R.L. Distributions of functions of a random variable, in statistical inference. Duxbury (2002) 47-54
36. Arkray. Glucocard™ Test Strip 2 Data Sheet (2001), Arkray Inc., Japan
37. Wong X., Chase J.G., Shaw G.M., Hann C., Lotz T., Lin J., Singh-Levett I., Hollingsworth L., Wong O., and Andreassen S. Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study. Med. Eng. Phys. 28 7 (2006) 665-681
38. Chase J.G., Shaw G.M., Lin J., Doran C.V., Bloomfield M., Wake G.C., Broughton B., Hann C., and Lotz T. Impact of insulin-stimulated glucose removal saturation on dynamic modelling and control of hyperglycaemia. Int. J. Intell. Syst. Technol. Appl. (IJISTA) 1 1/2 (2004) 79-94
39. Lotz T., Chase J.G., McAuley K., Shaw G., Wong X.-W., Lin J., Le Compte A., Hann C.E., and Mann J.I. Highly correlated model-based testing of insulin sensitivity-initial results for a proposed low-intensity test. Proceedings of the Sixth Annual Diabetes Technology Society Meeting. Atlanta, USA (2006)