Model-based glycaemic control in critical care-A review of the state of the possible

Biomedical Signal Processing and Control

Volumn 1, Issue 1, 2006, Pages 3-21

  Chase, J G ^a   Shaw, G M ^b   Wong, X W ^a   Lotz, T ^a   Lin, J ^a   Hann, C E ^a  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b CHRISTCHURCH HOSPITAL   (New Zealand)

Author keywords

Blood glucose; Control; Critical care; Hyperglycemia; Insulin; Models; Review

Indexed keywords

GLUCOSE; INSULIN;

APACHE; BLOOD GAS ANALYSIS; BLOOD GLUCOSE MONITORING; CALORIC RESTRICTION; CLINICAL PROTOCOL; CLINICAL TRIAL; COMPUTER SIMULATION; CRITICAL ILLNESS; DOSE RESPONSE; DRUG DISTRIBUTION; ENTERIC FEEDING; EXPERIENCE; GLYCEMIC CONTROL; GOLD STANDARD; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN PUMP; INTENSIVE CARE; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEDICAL RESEARCH; METABOLIC PARAMETERS; MORTALITY; NON INSULIN DEPENDENT DIABETES MELLITUS; NUTRITIONAL SUPPORT; OSCILLATION; OUTCOME ASSESSMENT; PATIENT SAFETY; PREDICTION; PREVALENCE; PRIORITY JOURNAL; PROCESS MODEL; REGRESSION ANALYSIS; REVIEW; SIGNAL PROCESSING; STRESS;

EID: 33747065504     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2006.03.002     Document Type: Review

References (183)

1. Capes S.E., Hunt D., Malmberg K., and Gerstein H.C. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet 355 9206 (2000) 773-778
2. 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
3. Mizock B.A. Alterations in fuel metabolism in critical illness: hyperglycaemia. Best Pract. Res. Clin. Endocrinol. Metab. 15 4 (2001) 533-551
4. McCowen K.C., Malhotra A., and Bistrian B.R. Stress-induced hyperglycemia. Crit. Care Clin. 17 1 (2001) 107-124
5. 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
6. Patino J.F., de Pimiento S.E., Vergara A., Savino P., Rodriguez M., and Escallon J. Hypocaloric support in the critically ill. World J. Surg. 23 6 (1999) 553-559
7. Weissman C. Nutrition in the intensive care unit. Crit. Care 3 5 (1999) R67-R75
8. Woolfson A.M. Control of blood glucose during nutritional support in ill patients. Intensive Care Med. 7 1 (1980) 11-14
9. Elia M., Ceriello A., Laube H., Sinclair A.J., Engfer M., and Stratton R.J. Enteral nutritional support and use of diabetes-specific formulas for patients with diabetes: a systematic review and meta-analysis. Diabetes Care 28 9 (2005) 2267-2279
10. Ahrens C.L., Barletta J.F., Kanji S., Tyburski J.G., Wilson R.F., Janisse J.J., and Devlin J.W. Effect of low-calorie parenteral nutrition on the incidence and severity of hyperglycemia in surgical patients: a randomized, controlled trial. Crit. Care Med. 33 11 (2005) 2507-2512
11. Kim H., Son E., Kim J., Choi K., Kim C., Shin W., and Suh O. Association of hyperglycemia and markers of hepatic dysfunction with dextrose infusion rates in Korean patients receiving total parenteral nutrition. Am. J. Health Syst. Pharm. 60 17 (2003) 1760-1766
12. Krajicek B.J., Kudva Y.C., and Hurley H.A. Potentially important contribution of dextrose used as diluent to hyperglycemia in hospitalized patients. Diabetes Care 28 4 (2005) 981-982
13. Thorburn A., Litchfield A., Fabris S., and Proietto J. Abnormal transient rise in hepatic glucose-production after oral glucose in non-insulin-dependent diabetic subjects. Diabetes Res. Clin. Practice 28 2 (1995) 127-135
14. M.O. Larsen, B. Rolin, M. Wilken, R.D. Carr, O. Svendsen, High-fat high-energy feeding impairs fasting glucose and increases fasting insulin levels in the Gottingen minipig-Results from a pilot study, in Lipids and Insulin Resistance: The Role of Fatty Acid Metabolism and Fuel Partitioning, 2002, p. 414-423.
15. Bistrian B.R. Hyperglycemia and Infection: which is the chicken and which is the egg?. JPEN J. Parenter. Enteral. Nutr. 25 4 (2001) 180-181
16. Das U.N. Insulin in sepsis and septic shock. J. Assoc. Physicians India 51 (2003) 695-700
17. Branco R.G., Garcia P.C., Piva J.P., Casartelli C.H., Seibel V., and Tasker R.C. Glucose level and risk of mortality in pediatric septic shock. Pediatr. Crit. Care Med. 6 4 (2005) 470-472
18. Oddo M., Schaller M.D., Calandra T., and Liaudet L. New therapeutic strategies in severe sepsis and septic shock. Rev. Med. Suisse Romande 124 6 (2004) 329-332
19. Marik P.E., and Raghavan M. Stress-hyperglycemia, insulin and immunomodulation in sepsis. Intensive Care Med. 30 5 (2004) 748-756
20. Langouche L., Vanhorebeek I., Vlasselaers D., Vander Perre S., Wouters P.J., Skogstrand K., Hansen T.K., and Van den Berghe G. Intensive insulin therapy protects the endothelium of critically ill patients. J. Clin. Invest. 115 8 (2005) 2277-2286
21. Laird A.M., Miller P.R., Kilgo P.D., Meredith J.W., and Chang M.C. Relationship of early hyperglycemia to mortality in trauma patients. J. Trauma 56 5 (2004) 1058-1062
22. Jeremitsky E., Omert L.A., Dunham C.M., Wilberger J., and Rodriguez A. The impact of hyperglycemia on patients with severe brain injury. J. Trauma 58 1 (2005) 47-50
23. Holm C., Horbrand F., Mayr M., von Donnersmarck G.H., and Muhlbauer W. Acute hyperglycaemia following thermal injury: friend or foe?. Resuscitation 60 1 (2004) 71-77
24. Van den Berghe G., Wouters P.J., Bouillon R., Weekers F., Verwaest C., Schetz M., Vlasselaers D., Ferdinande P., and Lauwers P. Outcome benefit of intensive insulin therapy in the critically ill: Insulin dose versus glycemic control. Crit. Care Med. 31 2 (2003) 359-366
25. Krinsley J.S. Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. Mayo Clin. Proc. 79 8 (2004) 992-1000
26. Krinsley J.S. Decreased mortality of critically ill patients with the use of an intensive glycemic management protocol. Crit. Care Med. 31 (2003) A19
27. Finney S.J., Zekveld C., Elia A., and Evans T.W. Glucose control and mortality in critically ill patients. Jama 290 15 (2003) 2041-2047
28. 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
29. Van Den Berghe G. How to compare adequacy of algorithms to control blood glucose in the intensive care unit?. Crit. Care 8 3 (2004) 151-152
30. Van den Berghe G. How does blood glucose control with insulin save lives in intensive care?. J. Clin. Invest. 114 9 (2004) 1187-1195
31. Van den Berghe G., Schoonheydt K., Becx P., Bruyninckx F., and Wouters P.J. Insulin therapy protects the central and peripheral nervous system of intensive care patients. Neurology (2005) 1348-1353
32. Mesotten D., Swinnen J.V., Vanderhoydonc F., Wouters P.J., and Van den Berghe G. Contribution of circulating lipids to the improved outcome of critical illness by glycemic control with intensive insulin therapy. J. Clin. Endocrinol. Metab. 89 1 (2004) 219-226
33. Diringer M.N. Improved outcome with aggressive treatment of hyperglycemia-Hype or hope?. Neurology 64 8 (2005) 1330-1331
34. Bellomo R., and Egi M. Glycemic control in the intensive care unit: why we should wait for NICE-SUGAR. Mayo Clin. Proc. 80 12 (2005) 1546-1548
35. Lind L., and Lithell H. Impaired glucose and lipid metabolism seen in intensive care patients is related to severity of illness and survival. Clin. Intensive Care 5 3 (1994) 100-105
36. Christiansen C., Toft P., Jorgensen H.S., Andersen S.K., and Tonnesen E. Hyperglycaemia and mortality in critically ill patients-A prospective study. Intensive Care Med. 30 8 (2004) 1685-1688
37. Mentula P., Kylanpaa M.L., Kemppainen E., Jansson S.E., Sarna S., Puolakkainen P., Haapiainen R., and Repo H. Early prediction of organ failure by combined markers in patients with acute pancreatitis. Br. J. Surg. 92 1 (2005) 68-75
38. Basi S., Pupim L.B., Simmons E.M., Sezer M.T., Shyr Y., Freedman S., Chertow G.M., Mehta R.L., Paganini E., Himmelfarb J., and Ikizler T.A. Insulin resistance in critically ill patients with acute renal failure. Am. J. Phys. Renal Phys. 289 2 (2005) F259-F264
39. Angus D.C., and Abraham E. Intensive insulin therapy in critical illness-when is evidence enough?. Am. J. Respir. Crit. Care Med. 172 11 (2005) 1358-1359
40. Alberti K.G., and Zimmet P.Z. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet. Med. 15 7 (1998) 539-553
41. King H. WHO and the International Diabetes Federation: regional partners. Bull. World Health Organ. 77 12 (1999) 954
42. A.D.A. Economic consequences of diabetes mellitus in the U.S. in 1997. American Diabetes Association. Diabet. Care 21 2 (1998) 296-309
43. Peet A.C., Kennedy D.M., Hocking M.D., and Ewer A.K. Near-patient testing of blood glucose using the Bayer Rapidlab 860 analyser in a regional neonatal unit. Ann. Clin. Biochem. 39 Pt 5 (2002) 502-508
44. Beneteau-Burnat B., Bocque M.C., Lorin A., Martin C., and Vaubourdolle M. Evaluation of the blood gas analyzer Gem PREMIER 3000. Clin. Chem. Lab. Med. 42 1 (2004) 96-101
45. Papadea C., Foster J., Grant S., Ballard S.A., Cate J.C.t., Southgate W.M., and Purohit D.M. Evaluation of the i-STAT Portable Clinical Analyzer for point-of-care blood testing in the intensive care units of a university children's hospital. Ann. Clin. Lab. Sci. 32 3 (2002) 231-243
46. Godje O., Fuchs A., Dewald O., Fischlein T., and Reichart B. On-site laboratory monitoring on the intensive care unit. Blood gas, electrolyte, glucose, hemoglobin and lactate determination with the CIBA Corning 865 Analysis System. Anasthesiol. Intensivmed. Notfallmed. Schmerzther. 32 9 (1997) 549-556
47. Solnica B., Naskalski J.W., and Sieradzki J. The evaluation of analytical performance of the Precision G point-of-care glucometer. Clin. Chem. Lab. Med. 39 12 (2001) 1283-1286
48. Louie R.F., Tang Z., Sutton Dv., Lee J.H., and Kost G.J. Point-of-care glucose testing: effects of critical care variables, influence of reference instruments, and a modular glucose meter design. Arch. Pathol. Lab. Med. 124 2 (2000) 257-266
49. Buhling K.J., Henrich W., Kjos S.L., Siebert G., Starr E., Dreweck C., Stein U., and Dudenhausen J.W. Comparison of point-of-care-testing glucose meters with standard laboratory measurement of the 50 g-glucose-challenge test (GCT) during pregnancy. Clin. Biochem. 36 5 (2003) 333-337
50. Chen E.T., Nichols J.H., Duh S.H., and Hortin G. Performance evaluation of blood glucose monitoring devices. Diabet. Technol. Ther. 5 5 (2003) 749-768
51. Solnica B., Naskalski J.W., and Sieradzki J. Analytical performance of glucometers used for routine glucose self-monitoring of diabetic patients. Clin. Chim. Acta 331 1-2 (2003) 29-35
52. Weitgasser R., Gappmayer B., and Pichler M. Newer portable glucose meters-Analytical improvement compared with previous generation devices?. Clin. Chem. 45 10 (1999) 1821-1825
53. Johnson R.N., and Baker J.R. Analytical error of home glucose monitors: a comparison of 18 systems. Ann. Clin. Biochem. 36 Pt 1 (1999) 72-79
54. Johnson R.N., and Baker J.R. Accuracy of devices used for self-monitoring of blood glucose. Ann. Clin. Biochem. 35 Pt1 (1998) 68-74
55. T.D.R.i.C.N.S.G. DirectNet, Accuracy of Newer-Generation Home Blood Glucose Meters in a Diabetes Research in Children Network (DirecNet) Inpatient Exercise Study, Diabet. Technol. Ther., 2005, 7(5), 675-680.
56. Demers J., Kane M.P., Bakst G., Busch R.S., and Hamilton R.A. Accuracy of home blood glucose monitors using forearm blood samples: FreeStyle versus One Touch Ultra. Am. J. Health Syst. Pharm. 60 11 (2003) 1130-1135
57. Rebrin K., Steil G.M., Van Antwerp W.P., and Mastrototaro J.J. Subcutaneous glucose predicts plasma glucose independent of insulin: implications for continuous monitoring. Am. J. Physiol. Endocrinol. Metabolism 277 3 (1999) E561-E571
58. Wilinska M.E., Bodenlenz M., Chassin L.J., Schaller H.C., Schaupp L.A., Pieber T.R., and Hovorka R. Interstitial glucose kinetics in subjects with type 1 diabetes under physiologic conditions. Metabolism 53 11 (2004) 1484-1491
59. Boyne M.S., Silver D.M., Kaplan J., and Saudek C.D. Timing of changes in interstitial and venous blood glucose measured with a continuous subcutaneous glucose sensor. Diabetes 52 11 (2003) 2790-2794
60. DirectNet, T.D.R.i.C.N.S.G., Accuracy of the GlucoWatch G2 Biographer and the Continuous Glucose Monitoring System During Hypoglycemia, Diabet. Care, 27(3) 2004, 722-726.
61. Goldberg P.A., Siegel M.D., Russell R.R., Sherwin R.S., Halickman J.I., Cooper D.A., Dziura J.D., and Inzucchi S.E. Experience with the continuous glucose monitoring system in a medical intensive care unit. Diabetes Technol. Ther. 6 3 (2004) 339-347
62. Weinzimer S.A., DeLucia M.C., Boland E.A., Steffen A., and Tamborlane W.V. Analysis of continuous glucose monitoring data from non-diabetic and diabetic children: a tale of two algorithms. Diabetes Technol. Ther. 5 3 (2003) 375-380
63. Garg S.K., Potts R.O., Ackerman N.R., Fermi S.J., Tamada J.A., and Chase H.P. Correlation at fingerstick blood glucose measurements with GlucoWatch biographer glucose results in young subjects with type 1 diabetes. Diabetes Care 22 10 (1999) 1708-1714
64. Dunn T.C., Eastman R.C., and Tamada J.A. Rates of glucose change measured by blood glucose meter and the GlucoWatch Biographer during day, night, and around mealtimes. Diabetes Care 27 9 (2004) 2161-2165
65. Pitzer K.R., Desai S., Dunn T., Edelman S., Jayalakshmi Y., Kennedy J., Tamada J.A., and Potts R.O. Detection of hypoglycemia with the GlucoWatch biographer. Diabetes Care 24 5 (2001) 881-885
66. Tierney M.J., Tamada J.A., Potts R.O., Eastman R.C., Pitzer K., Ackerman N.R., and Fermi S.J. The GlucoWatch (R) biographer: a frequent, automatic and noninvasive glucose monitor. Annals. Med. 32 9 (2000) 632-641
67. Tierney M.J., Tamada J.A., Potts R.O., Jovanovic L., and Garg S. Clinical evaluation of the GlucoWatch (R) biographer: a continual, non-invasive glucose monitor for patients with diabetes. Biosens. Bioelectronics 16 9-12 (2001) 621-629
68. Tsalikian E., Beck R.W., Tamborlane W.V., Chase P., Buckingham B.A., Weinzimer S.A., Mauras N., Ruedy K.J., Kollman C., Xing D.Y., Fiallo-Scharer R., Fisher J.H., Tansey M.J., Larson L.F., Wysocki T., Gagnon K.M., Todd P., Wilson D.M., Block J.M., Kunselman E.L., Doyle E.A., Moke P.S., Labastie L.M., Becker D.M., Cox C., Ryan C.M., White N.H., White P.C., Steffes M.W., Bucksa J.M., Nowicki M.L., Grave G.D., Linder B., and Winer K.K. Accuracy of the GlucoWatch G2 Biographer and the continuous glucose monitoring system during hypoglycemia-Experience of the Diabetes Research in Children Network. Diabetes Care 27 3 (2004) 722-726
69. Javid P.J., Halwick D.R., Betit P., Thompson J.E., Long K., Zhang Y., Jaksic T., and Agus M.S. The first use of live continuous glucose monitoring in patients on extracorporeal life support. Diabetes Technol. Ther. 7 3 (2005) 431-439
70. Kovatchev B.P., Gonder-Frederick L.A., Cox D.J., and Clarke W.L. Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. Diabetes Care 27 8 (2004) 1922-1928
71. Gilligan B.C., Shults M., Rhodes R.K., Jacobs P.G., Brauker J.H., Pintar T.J., and Updike S.J. Feasibility of continuous long-term glucose monitoring from a subcutaneous glucose sensor in humans. Diabetes Technol. Ther. 6 3 (2004) 378-386
72. Klonoff D.C. European trends in diabetes technology-continuous glucose measurements and computerized information-processing tools. Diabetes Technol. Ther. 4 6 (2002) 763-764
73. Mackenzie I., Ingle S., Zaidi S., and Buczaski S. Tight glycaemic control: a survey of intensive care practice in large English hospitals. Intensive Care Med. 31 8 (2005) 1136
74. Bland D.K., Fankhanel Y., Langford E., Lee M., Lee S.W., Maloney C., Rogers M., and Zimmerman G. Intensive versus modified conventional control of blood glucose level in medical intensive care patients: a pilot study. Am. J. Crit. Care 14 5 (2005) 370-376
75. Waeschle R., Moerer O., Wahaha D., Neumann P., and Quintel M. Intensive Insulin Therapy on ICU: Comparison of two algorithms to control the blood glucose level. Intensive Care Med. 31 S1 (2005) S203
76. DiNardo M.M., Korytkowski M.T., and Siminerio L.S. The importance of normoglycemia in critically ill patients. Crit. Care Nurs. Q. 27 2 (2004) 126-134
77. Schultz M.J., Spronk P.E., and Moeniralam H.S. Tight glycaemic control: a survey of intensive care practice in the Netherlands. Intensive Care Med. (2006)
78. X.W. Wong, J.G. Chase, G.M. Shaw, C.E. Hann, J. Lin, T. Lotz. Comparison of Adaptive and Sliding-Scale Glycaemic Control in Critical Care and the Impact of Nutritional Inputs, in: Proc. of the 12th International Conf on Biomedical Engineering (ICBME), 2005. Singapore, 4 pages.
79. J.G. Chase, T. Lonergan, A. LeCompte, M. Willacy, G.M. Shaw, X.W. Wong, J. Lin, T. Lotz, C.E. Hann, Tight glucose control in critically ill patients using a specialized insulin-nutrition table, in: Proc. of the 12th International Conf on Biomedical Engineering (ICBME), 2005. Singapore, 4 pages.
80. T. Lonergan, A. LeCompte, M. Willacy, J.G. Chase, G.M. Shaw, X.W. Wong, T. Lotz, J. Lin, C.E. Hann, A Simple Insulin-Nutrition Protocol for Tight Glycemic Control in Critical Illness: Development and Protocol Comparison, Diabetes Technol. Ther. 8 (2) (2006) 191-206.
81. J.G. Chase, X.W. Wong, G.M. Shaw, C.E. Hann, J. Lin, T. Lotz, Clinical Trials of Active Insulin and Nutrition Control in Critically Ill Patients, in: Proc. of the 12th International Conf on Biomedical Engineering (ICBME), 2005. Singapore, 4 pages.
82. X. Wong, J.G. Chase, G.M. Shaw, C. Hann, T. Lotz, J. Lin, I. Singh-Levett, L. Hollingsworth, O. Wong, S. Andreassen, Model Predictive Glycaemic Regulation in Critical Illness using Insulin and Nutrition Input: a Pilot Study, Med. Eng. Phys., in press.
83. X.W. Wong, G.M. Shaw, C.E. Hann, T. Lotz, J. Lin, I. Singh-Levett, L. Hollingsworth, O.S. Wong, J.G. Chase, Optimised Insulin and Nutrition Delivery via Model Predictive Control for Tight Glycaemic Regulation in Critical Care, Diabetes Technol. Ther. 8 (2) (2006) 174-190.
84. 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
85. Shaw G.M., Chase J.G., Lee D.S., Bloomfield M., Doran C.V., Lin J., and Lotz T. Peak and range of blood glucose are also associated with ICU Mortality. Crit. Care Med. 32 12 (2005) A125
86. Doran, C.V., Modelling and Control of Hyperglycemia in Critical Care Patients, Masters of Engineering (ME) in Mechanical Engineering, University of Canterbury, Christchurch, New Zealand, 2004.
87. Hirsch I.B., and Brownlee M. Should minimal blood glucose variability become the gold standard of glycemic control?. J. Diabetes Complications 19 3 (2005) 178-181
88. McDonnell C.M., Donath S.M., Vidmar S.I., Werther G.A., and Cameron F.J. A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technol. Ther. 7 2 (2005) 253-263
89. Klonoff D.C. Continuous Glucose Monitoring: Roadmap for 21st century diabetes therapy. Diabetes Care 28 5 (2005) 1231-1239
90. Klonoff D.C. A review of continuous glucose monitoring technology. Diabetes Technol. Ther. 7 5 (2005) 770-775
91. E.R. Carson, C. Cobelli, Modelling Methodology for Physiology and Medicine, Academic Press, San Diego, 2001.
92. Toffolo G., Campioni M., Basu R., Rizza R.A., and Cobelli C. A minimal model of insulin secretion and kinetics to assess hepatic insulin extraction. Am. J. Physiol. Endocrinol. Metab. 290 1 (2006) E169-E176
93. Pacini G., and Bergman R.N. MINMOD: a computer program to calculate insulin sensitivity and pancreatic responsivity from the frequently sampled intravenous glucose tolerance test. Comput. Methods Programs Biomed. 23 2 (1986) 113-122
94. Bergman R.N., Ider Y.Z., Bowden C.R., and Cobelli C. Quantitative estimation of insulin sensitivity. Am. J. Physiol. 236 6 (1979) E667-E677
95. Yang Y.J., Youn J.H., and Bergman R.N. Modified protocols improve insulin sensitivity estimation using the minimal model. Am. J. Physiol. 253 6 Pt 1 (1987) E595-E602
96. Toffolo G., Cefalu W.T., and Cobelli C. Beta-cell function during insulin-modified intravenous glucose tolerance test successfully assessed by the C-peptide minimal model. Metabolism 48 9 (1999) 1162-1166
97. Mari A. Assessment of insulin sensitivity and secretion with the labelled intravenous glucose tolerance test: improved modelling analysis. Diabetologia 41 9 (1998) 1029-1039
98. Mari A., Stojanovska L., Proietto J., and Thorburn A.W. A circulatory model for calculating non-steady-state glucose fluxes. Validation and comparison with compartmental models. Comput. Methods Programs Biomed. 71 3 (2003) 269-281
99. Mari A., Pacini G., Murphy E., Ludvik B., and Nolan J.J. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care 24 3 (2001) 539-548
100. Lehmann E.D., and Deutsch T. Computer assisted diabetes care: a 6-year retrospective. Comput. Methods Programs Biomed. 50 3 (1996) 209-230
101. Ferrannini E., and Mari A. Beta cell function and its relation to insulin action in humans: a critical appraisal. Diabetologia 47 5 (2004) 943-956
102. Albisser A.M., Leibel B.S., Ewart T.G., Davidovac Z., Botz C.K., Zingg W., Schipper H., and Gander R. Clinical control of diabetes by the artificial pancreas. Diabetes 23 5 (1974) 397-404
103. Bergman R.N., Finegood D.T., and Ader M. Assessment of insulin sensitivity in vivo. Endocr. Rev. 6 1 (1985) 45-86
104. Doran C.V., Hudson N.H., Moorhead K.T., Chase J.G., Shaw G.M., and Hann C.E. Derivative weighted active insulin control modelling and clinical trials for ICU patients. Med. Eng. Phys. 26 10 (2004) 855-866
105. Doran C.V., Chase J.G., Shaw G.M., Moorhead K.T., and Hudson N.H. Automated insulin infusion trials in the intensive care unit. Diabetes Technol. Ther. 6 2 (2004) 155-165
106. 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
107. 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
108. Rizza R.A., Mandarino L.J., and Gerich J.E. Dose-response characteristics for effects of insulin on production and utilization of glucose in man. Am. J. Physiol. 240 6 (1981) E630-E639
109. Thorsteinsson B. Kinetic models for insulin disappearance from plasma in man. Dan. Med. Bull. 37 2 (1990) 143-153
110. Frost D.P., Srivastava M.C., Jones R.H., Nabarro J.D., and Sonksen P.H. The kinetics of insulin metabolism in diabetes mellitus. Postgrad. Med. J. 49 Suppl. 7 (1973) 949-954
111. 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. (Oxf.) 26 5 (1987) 623-628
112. Cobelli C., Caumo A., and Omenetto M. Minimal model SG overestimation and SI underestimation: improved accuracy by a Bayesian two-compartment model. Am. J. Physiol. 277 3 Pt 1 (1999) E481-E488
113. Cobelli C., Toffolo G., and Foster D.M. Tracer-to-tracee ratio for analysis of stable isotope tracer data: link with radioactive kinetic formalism. Am. J. Physiol. 262 6 Pt 1 (1992) E968-E975
114. Vicini P., Caumo A., and Cobelli C. The hot IVGTT two-compartment minimal model: indexes of glucose effectiveness and insulin sensitivity. Am. J. Physiol. 273 5 Pt 1 (1997) 1024-1032
115. Caumo A., Vicini P., Zachwieja J.J., Avogaro A., Yarasheski K., Bier D.M., and Cobelli C. Undermodeling affects minimal model indexes: insights from a two-compartment model. Am. J. Physiol. 276 6 Pt 1 (1999) E1171-E1193
116. Hovorka R., Powrie J.K., Smith G.D., Sonksen P.H., Carson E.R., and Jones R.H. Five-compartment model of insulin kinetics and its use to investigate action of chloroquine in NIDDM. Am. J. Physiol. 265 1 Pt 1 (1993) E162-E175
117. 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., and Wilinska M.E. Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiol. Measurement 25 4 (2004) 905-920
118. Chase J.G., Shaw G.M., Lin J., Doran C.V., Hann C., Lotz T., Wake G.C., and Broughton B. Targeted glycemic reduction in critical care using closed-loop control. Diabetes Technol. Ther. 7 2 (2005) 274-282
119. Chee F., Fernando T., and van Heerden P.V. Closed-loop glucose control in critically ill patients using continuous glucose monitoring system (CGMS) in real time. IEEE Trans. Inf. Technol. Biomed. 7 1 (2003) 43-53
120. 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
121. 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
122. 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
123. Dickerson R.N. Hypocaloric feeding of obese patients in the intensive care unit. Curr. Opin. Clin. Nutr. Metab. Care 8 2 (2005) 189-196
124. McCowen K.C., Friel C., Sternberg J., Chan S., Forse R.A., Burke P.A., and Bistrian B.R. Hypocaloric total parenteral nutrition: effectiveness in prevention of hyperglycemia and infectious complications-a randomized clinical trial. Crit. Care Med. 28 11 (2000) 3606-3611
125. Rubinson L., Diette G.B., Song X., Brower R.G., and Krishnan J.A. Low caloric intake is associated with nosocomial bloodstream infections in patients in the medical intensive care unit. Crit. Care Med. 32 2 (2004) 350-357
126. Iyer P.U. Nutritional support in the critically ill child. Indian J. Pediatr. 69 5 (2002) 405-410
127. Jeejeebhoy K.N. Permissive underfeeding of the critically ill patient. Nutr. Clin. Pract. 19 5 (2004) 477-480
128. Krishnan J.A., Parce P.B., Martinez A., Diette G.B., and Brower R.G. Caloric intake in medical ICU patients: consistency of care with guidelines and relationship to clinical outcomes. Chest 124 1 (2003) 297-305
129. Gore D.C., Chinkes D.L., Hart D.W., Wolf S.E., Herndon D.N., and Sanford A.P. Hyperglycemia exacerbates muscle protein catabolism in burn-injured patients. Crit. Care Med. 30 11 (2002) 2438-2442
130. Dickerson R.N., Boschert K.J., Kudsk K.A., and Brown R.O. Hypocaloric enteral tube feeding in critically ill obese patients. Nutrition 18 3 (2002) 241-246
131. Villet S., Chiolero R.L., Bollmann M.D., Revelly J.P., Cayeux R.N.M., Delarue J., and Berger M.M. Negative impact of hypocaloric feeding and energy balance on clinical outcome in ICU patients. Clin. Nutr. 24 4 (2005) 502-509
132. Morariu A.M., Loef B.G., Aarts L.P., Rietman G.W., Rakhorst G., van Oeveren W., and Epema A.H. Dexamethasone: benefit and prejudice for patients undergoing on-pump coronary artery bypass grafting: a study on myocardial, pulmonary, renal, intestinal, and hepatic injury. Chest 128 4 (2005) 2677-2687
133. Queale W.S., Seidler A.J., and Brancati F.L. Glycemic control and sliding scale insulin use in medical inpatients with diabetes mellitus. Arch. Intern. Med. 157 5 (1997) 545-552
134. Ruffell A.J. Sepsis strategies: an ICU package?. Nurs. Crit. Care 9 6 (2004) 257-263
135. Bhuiyan N., Krieger C., Jones T., and Dempsey G. The impact of corticosteroids on glycaemic control with an intensive insulin therapy protocol. Intensive Care Med. 31 S1 (2005) S204
136. Marquardt D.W. Citation classic-algorithm for least-squares estimation of non-linear parameters. Curr. Contents/Eng. Technol. Appl. Sci. 27 (1979)
137. Vicini P., and Cobelli C. The iterative two-stage population approach to IVGTT minimal modeling: improved precision with reduced sampling. Intravenous glucose tolerance test. Am. J. Physiol. Endocrinol. Metab. 280 1 (2001) E179-E186
138. Erichsen L., Agbaje O.F., Luzio S.D., Owens D.R., and Hovorka R. Population and individual minimal modeling of the frequently sampled insulin-modified intravenous glucose tolerance test. Metabolism 53 10 (2004) 1349-1354
139. Zheng Y., and Zhao M. Modified minimal model using a single-step fitting process for the intravenous glucose tolerance test in Type 2 diabetes and healthy humans. Comput. Methods Programs Biomed. 79 1 (2005) 73-79
140. Hovorka R., and Vicini P. Parameter Estimation. In: Carson E., and Cobelli C. (Eds). Modelling Methodology for Physiology and Medicine (2001), Academic Press, London 107-151
141. Hovorka R., Shojaee-Moradie F., Carroll P.V., Chassin L.J., Gowrie I.J., Jackson N.C., Tudor R.S., Umpleby A.M., and Jones R.H. Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT. Am. J. Physiol. Endocrinol. Metab. 282 5 (2002) E992-E1007
142. C. Hann, J. Chase, G. Shaw, B. Smith, Identification of Patient Specific Parameters for a Minimal Cardiac Model, 26th International Conf of IEEE Engineering in Med and Biology Society (EMBS 2004), 2004. San, Francisco, CA, USA, 1-5, p. 813-816.
143. 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
144. 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
145. X.W. Wong, G.M. Shaw, C.E. Hann, T. Lotz, J. Lin, J.G. Chase, Impact of System Identification Methods in Metabolic Modelling and Control, in: proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), 2006. Newcastle, Australia, 29-31, p. 6.
146. Vogelzang M., Horst I.C.v.d., and Nijsten M.W. Hyperglycaemic Index as a Tool to Assess Glucose Control: A Retrospective Study. Crit. Care 8 3 (2004) R122-R127
147. Chee F., Fernando T., and van Heerden P.V. Closed-loop control of blood glucose levels in critically ill patients. Anaesth. Intensive Care 30 3 (2002) 295-307
148. 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. Intelligent Syst. Technol. Applications (IJISTA) 1 1/2 (2004) 79-94
149. J. Lin, J.G. Chase, G.M. Shaw, C.V. Doran, C.E. Hann, M.B. Robertson, P.M. Browne, T.F. Lotz, G.C. Wake, B. Broughton, Adaptive Bolus-Based Set-Point Regulation of Hyperglycemia in Critical Care, in: Proceedings of the 26th International Conf of IEEE Engineering in Med and Biology Society, 2004. San Francisco, USA, vol. 1-5, pp. 3463-3466.
150. Laver S., Preston S., Turner D., McKinstry C., and Padkin A. Implementing intensive insulin therapy: development and audit of the Bath insulin protocol. Anaesth. Intensive Care 32 3 (2004) 311-316
151. Goldberg P.A., Siegel M.D., Sherwin R.S., Halickman J.I., Lee M., Bailey V.A., Lee S.L., Dziura J.D., and Inzucchi S.E. Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit. Diabetes Care 27 2 (2004) 461-467
152. 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
153. Chant C., Wilson G., and Friedrich J.O. Validation of an insulin infusion nomogram for intensive glucose control in critically ill patients. Pharmacotherapy 25 3 (2005) 352-359
154. Thomas A.N., Marchant A.E., Ogden M.C., and Collin S. Implementation of a tight glycaemic control protocol using a web-based insulin dose calculator. Anaesthesia 60 11 (2005) 1093-1100
155. Kanji S., Singh A., Tierney M., Meggison H., McIntyre L., and Hebert P.C. Standardization of intravenous insulin therapy improves the efficiency and safety of blood glucose control in critically ill adults. Intensive Care Med. 30 5 (2004) 804-810
156. Vogelzang M., Zijlstra F., and Nijsten M.W. Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit. BMC Med. Inform. Decis. Mak. 5 38 (2005) 10p
157. Davidson P.C., Steed R.D., and Bode B.W. Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation. Diabetes Care 28 10 (2005) 2418-2423
158. Hovorka R., Chassin L.J., Wilinska M.E., Canonico V., Akwi J.A., Federici M.O., Massi-Benedetti M., Hutzli I., Zaugg C., Kaufmann H., Both M., Vering T., Schaller H.C., Schaupp L., Bodenlenz M., and Pieber T.R. Closing the loop: the adicol experience. Diabetes Technol. Ther. 6 3 (2004) 307-318
159. Andreassen S., Benn J.J., Hovorka R., Olesen K.G., and Carson E.R. A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study. Comput. Methods Programs Biomed. 41 3-4 (1994) 153-165
160. Arleth T., Andreassen S., Federici M.O., and Benedetti M.M. A model of the endogenous glucose balance incorporating the characteristics of glucose transporters. Comput. Methods Programs Biomed. 62 3 (2000) 219-234
161. T. Arleth, S. Andreassen, M. Orsini Federici, A. Timi, M. Massi-Benedetti, A model of glucose absorption from mixed meals, Proceedings of the 4th IFAC Symposium on Modelling and Control of Biomedical Systems, 2000, pp. 307-312.
162. Matsuo Y., Shimoda S., Sakakida M., Nishida K., Sekigami T., Ichimori S., Ichinose K., Shichiri M., and Araki E. Strict glycemic control in diabetic dogs with closed-loop intraperitoneal insulin infusion algorithm designed for an artificial endocrine pancreas. J. Artif. Organs. 6 1 (2003) 55-63
163. Shimoda S., Nishida K., Sakakida M., Konno Y., Ichinose K., Uehara M., Nowak T., and Shichiri M. Closed-loop subcutaneous insulin infusion algorithm with a short-acting insulin analog for long-term clinical application of a wearable artificial endocrine pancreas. Front Med. Biol. Eng. 8 3 (1997) 197-211
164. Steil G.M., Panteleon A.E., and Rebrin K. Closed-loop insulin delivery-the path to physiological glucose control. Adv. Drug Deliv. Rev. 56 2 (2004) 125-144
165. Schrezenmeir J., Dirting K., and Papazov P. Controlled multicenter study on the effect of computer assistance in intensive insulin therapy of type 1 diabetics. Comput. Methods Programs Biomed. 69 2 (2002) 97-114
166. Skyler J.S., Skyler D.L., Seigler D.E., and O'Sullivan M.J. Algorithms for adjustment of insulin dosage by patients who monitor blood glucose. Diabetes Care 4 2 (1981) 311-318
167. 2: A Mk. II automated insulin dosage advisor. J. Biomed. Eng. 15 (1993) 201-211
168. Lehmann E.D., and Deutsch T. Insulin dosage adjustment in diabetes. J. Biomech. Eng. 14 (1992) 243-249
169. Gopakumaran B. Analysis: "intelligent dosing system": a useful computer program for diabetes management?. Diabetes Technol. Ther. 6 3 (2004) 336-338
170. Bequette B.W., and Desemone J. Intelligent dosing system: need for design and analysis based on control theory. Diabetes Technol. Ther. 6 6 (2004) 868-873
171. Cook C.B., Mann L.J., King E.C., New K.M., Vaughn P.S., Dames F.D., Dunbar V.G., Caudle J.M., Tsui C., George C.D., and McMichael J.P. Management of insulin therapy in urban diabetes patients is facilitated by use of an intelligent dosing system. Diabetes Technol. Ther. 6 3 (2004) 326-335
172. Gross T.M., Kayne D., King A., Rother C., and Juth S. A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy. Diabetes Technol. Ther. 5 3 (2003) 365-369
173. Berger M.P., and Rodbard D. A pharmacodynamic approach to optimizing insulin therapy. Comput. Methods Programs Biomed. 34 4 (1991) 241-253
174. R.S. Parker, F.J. Doyle, 3rd, J. Harting, N.A. Peppas, Model predictive control for infusion pump insulin delivery, IEEE Conf. Eng. Med. Biol., 1996, pp. 1822-1823.
175. Parker R.S., Doyle III F.J., and Peppas N.A. A model-based algorithm for blood glucose control in type I diabetic patients. IEEE Trans. Biomed. Eng. 46 2 (1999) 148-157
176. Parker R.S., and Doyle III F.J. Control-relevant modeling in drug delivery. Adv. Drug Deliv. Rev. 48 2-3 (2001) 211-228
177. Ollerton R.L. Application of optimal control theory to diabetes mellitus. Int. J. Control 50 6 (1989) 2503-2522
178. J. Naylor, A. Hodel, B. Morton, D. Schumacher, Automatic control issues in the development of an artificial pancreas, American Control Conference (ACC), 1995. Seattle, USA, vol. 21-23, pp. 771-775.
179. Kienitz K.H., and Yoneyama T. A robust controller for insulin pumps based on H-infinity theory. IEEE Trans. Biomed. Eng. 40 11 (1993) 1133-1137
180. Fisher M.E. A semiclosed-loop algorithm for the control of blood glucose levels in diabetics. IEEE Trans. Biomed. Eng. 38 1 (1991) 57-61
181. Furler S.M., Kraegen E.W., Smallwood R.H., and Chisholm D.J. Blood glucose control by intermittent loop closure in the basal mode: computer simulation studies with a diabetic model. Diabetes Care 8 6 (1985) 553-561
182. Lam Z.H., Hwang K.S., Lee J.Y., Chase J.G., and Wake G.C. Active insulin infusion using optimal and derivative-weighted control. Med. Eng. Phys. 24 10 (2002) 663-672
183. J. Lin, D. Lee, J. Chase, G. Shaw, T. Lotz, C. Hann, X. Wong, Stochastic Modelling of Insulin Sensitivity Variability in Critical Care, in: Proceedings of the 12th International Conference on Biomedical Engineering (ICBME), 2005. Singapore, 4 pages.