Bistrian, B. R. (2001). Hyperglycemia and infection: which is the chicken and which is the egg? JPEN J Parenter Enteral Nutr, 25, 4, 180-1.
Capes, S. E., Hunt, D., Malmberg, K. & Gerstein, H. C. (2000). Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet, 355, 9206, 773-8.
Cerra, F. B., and Benitez., M. R., Blackburn, G. L., Irwin, R. S., Jeejeebhoy, K., et al. (1997). Applied nutrition in ICU patients. A consensus statement of the American College of Chest Physicians. Chest, 111, 3, 769-78.
Chase, J. G., Andreassen, S., Jensen, K. & Shaw, G. M. (2008a). Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples. J Diabetes Sci Technol, 2, 3, 409-16.
Chase, J. G., Shaw, G., Le Compte, A., Lonergan, T., Willacy, M., et al. (2008b). Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change. Crit Care, 12, 2, R49.
Chase, J. G., and Shaw., G. M., Lin, J., Doran, C. V., Hann, C., et al. (2005). Targeted glycemic reduction in critical care using closed-loop control. Diabetes Technol Ther, 7, 2, 274-82.
Chase, J. G., Suhaimi, F., Penning, S., Preiser, J. C., Le Compte, A. J., et al. (2010). Validation of a model-based virtual trials method for tight glycemic control in intensive care. Biomed Eng Online, 9, 84.
Evans, A., Le Compte, A., Tan, C. S., Ward, L., Steel, J., et al. (2012). Stochastic targeted (STAR) glycemic control: design, safety, and performance. J Diabetes Sci Technol, 6, 1, 102-15.
Fisk, L., Docherty, P., Pretty, C. G., Chase, J. G. & (2014). Updated ICING Model Insulin Kinetic Compartments. Journal of Diabetes Science and Technology In Review
Hovorka, R., Kremen, J., Blaha, J., Matias, M., Anderlova, K., et al. (2007). Blood glucose control by a model predictive control algorithm with variable sampling rate versus a routine glucose management protocol in cardiac surgery patients: a randomized controlled trial. J Clin Endocrinol Metab, 92, 8, 2960-4.
Kulnik, R., Plank, J., Pachler, C., Wilinska, M. E., Groselj-Strele, A., et al. (2008). Evaluation of implementation of a fully automated algorithm (enhanced model predictive control) in an interacting infusion pump system for establishment of tight glycemic control in medical intensive care unit patients. J Diabetes Sci Technol, 2, 6, 963-70.
Lin, J., and Razak., N. N., Pretty, C. G., Le Compte, A., Docherty, P., et al. (2011). A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients. Comput Methods Programs Biomed, 102, 2, 192-205.
Mccowen, K. C., Malhotra, A. & Bistrian, B. R. (2001). Stress-induced hyperglycemia. Crit Care Clin, 17, 1, 107-124.
Mizock, B. A. (2001). Alterations in fuel metabolism in critical illness: hyperglycaemia. Best Pract Res Clin Endocrinol Metab, 15, 4, 533-51.
Van Den Berghe, G., Wouters, P., Weekers, F., Verwaest, C., Bruyninckx, F., et al. (2001). Intensive insulin therapy in critically ill patients. N Engl J Med, 345, 19, 1359-67.
Wong, J., and Chase., J. G., Hann, C. E., Shaw, G. M., and Lotz., T. F., et al. (2008). A subcutaneous insulin pharmacokinetic model for computer simulation in a diabetes decision support role: model structure and parameter identification. J Diabetes Sci Technol, 2, 4, 658-71.