Model-based glycemic control in a Malaysian intensive care unit: performance and safety study

References

• Marik PE, Raghavan M. Stress-hyperglycemia, insulin and immunomodulation in sepsis. Intensive Care Med. 2004;30(5):748–756. doi:10.1007/s00134-004-2361-y14991101
   PubMed Web of Science ®Google Scholar
• McCowen KC, Malhotra A, Bistrian BR. Stress-induced hyperglycemia. Crit Care Clin. 2001;17(1):107–124. doi:10.1016/S0749-0704(05)70154-811219223
   PubMed Web of Science ®Google Scholar
• Ellahham S. Insulin therapy in critically ill patients. Vasc Health Risk Manag. 2010;6:1089. doi:10.2147/VHRM21191429
   PubMedGoogle Scholar
• Dungan KM, Braithwaite SS, Preiser JC. Stress hyperglycaemia. Lancet. 2009;373(9677):1798–1807. doi:10.1016/S0140-6736(09)60553-519465235
   PubMed Web of Science ®Google Scholar
• Bistrian BR. Hyperglycemia and infection: which is the chicken and which is the egg? J Parenter Enteral Nutr. 2001;25(4):180–181. doi:10.1177/0148607101025004180
   Web of Science ®Google Scholar
• Capes SE, Hunt D, Malmberg K, Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. 2000;355(9206):773–778. doi:10.1016/S0140-6736(99)08415-910711923
   PubMed Web of Science ®Google Scholar
• Van Den Berghe G, Wouters PJ, Bouillon R, et al. Outcome benefit of intensive insulin therapy in the critically ill: insulin dose versus glycemic control. Crit Care Med. 2003;31(2):359–366. doi:10.1097/01.CCM.0000045568.12881.1012576937
   PubMed Web of Science ®Google Scholar
• Krinsley JS. Glycemic variability: a strong independent predictor of mortality in critically ill patients. Crit Care Med. 2008;36(11):3008–3013. doi:10.1097/CCM.0b013e31818b38d218824908
   PubMed Web of Science ®Google Scholar
• Chase J, Shaw G, Le Compte A, et al. Implementation and evaluation of the sprint protocol for tight glycaemic control in critically ill patients: a clinical practice change. Crit Care. 2008;12(2):49. doi:10.1186/cc6996
   Web of Science ®Google Scholar
• Brunkhorst FM, Engel C, Bloos F, et al. Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med. 2008;358(2):125–139. doi:10.1056/NEJMoa07071618184958
   PubMed Web of Science ®Google Scholar
• Investigators NSS, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;2009(360):1283–1297.
   Google Scholar
• Marik PE, Preiser JC. Toward understanding tight glycemic control in the ICU: a systematic review and metaanalysis. Chest J. 2010;137(3):544–551. doi:10.1378/chest.09-1737
   PubMed Web of Science ®Google Scholar
• Uyttendaele V, Dickson JL, Shaw GM, Desaive T, Chase JG. Untangling glycaemia and mortality in critical care. Crit Care. 2017;21(1):152. doi:10.1186/s13054-017-1686-128645302
   PubMed Web of Science ®Google Scholar
• Chase JG, Le Compte AJ, Suhaimi F, et al. Tight glycemic control in critical care–the leading role of insulin sensitivity and patient variability: a review and model-based analysis. Comput Methods Programs Biomed. 2011;102(2):156–171. doi:10.1016/j.cmpb.2010.11.00621145614
   PubMed Web of Science ®Google Scholar
• Stewart KW, Pretty CG, Tomlinson H, et al. Safety, efficacy and clinical generalization of the star protocol: a retrospective analysis. Ann Intensive Care. 2016;6(1):24. doi:10.1186/s13613-016-0125-927025951
   PubMed Web of Science ®Google Scholar
• Lin J, Lee D, Chase JG, et al. Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care. Comput Methods Programs Biomed. 2008;89(2):141–152. doi:10.1016/j.cmpb.2007.04.00617544541
   PubMed Web of Science ®Google Scholar
• Lin J, Razak NN, Pretty CG, et al. A physiological intensive control insulin-nutrition-glucose (icing) model validated in critically ill patients. Comput Methods Programs Biomed. 2011;102(2):192–205. doi:10.1016/j.cmpb.2010.12.00821288592
   PubMed Web of Science ®Google Scholar
• Fisk LM, Le Compte AJ, Shaw GM, Penning S, Desaive T, Chase JG. Star development and protocol comparison. IEEE Trans Biomed Eng. 2012;59(12):3357–3364. doi:10.1109/TBME.2012.221438422929365
   PubMed Web of Science ®Google Scholar
• Evans A, Shaw GM, Le Compte A, et al. Pilot proof of concept clinical trials of stochastic targeted (star) glycemic control. Ann Intensive Care. 2011;1(1):38. doi:10.1186/2110-5820-1-3821929821
   PubMed Web of Science ®Google Scholar
• Krinsley JS, Preiser JC. Time in blood glucose range 70 to 140 mg/dl 80% is strongly associated with increased survival in non-diabetic critically ill adults. Crit Care. 2015;19(1):179. doi:10.1186/s13054-015-0908-725927986
   PubMed Web of Science ®Google Scholar
• Docherty PD, Chase JG, Lotz TF, Desaive T. A graphical method for practical and informative identifiability analyses of physiological models: a case study of insulin kinetics and sensitivity. Biomed Eng Online. 2011;10(1):39. doi:10.1186/1475-925X-10-3921615928
   PubMed Web of Science ®Google Scholar
• Egi M, Bellomo R, Stachowski E, et al. Hypoglycemia and outcome in critically ill patients. Mayo Clin Proc. 2010;85:217–224. doi:10.4065/mcp.2009.039420176928
   PubMed Web of Science ®Google Scholar
• Stewart KW, Pretty CG, Shaw GM, Chase JG. Interpretation of retrospective BG measurements. J Diabetes Sci Technol. 2018;12(5):967–975. doi:10.1177/193229681878651829998750
   PubMedGoogle Scholar
• Finfer S, Wernerman J, Preiser JC, et al. Clinical review: consensus recommendations on measurement of blood glucose and reporting glycemic control in critically ill adults. Crit Care. 2013;17(3):229. doi:10.1186/cc1273423767816
   PubMed Web of Science ®Google Scholar
• Zafirah RC, Jamaludin UK, Khalijah K, et al. Study on the blood glucose management with controlled goal feed in Malaysian critically ill patients. IOP Conf Ser. 2019;469(1). doi:10.1088/1757-899X/469/1/012097.
   Google Scholar