Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control

Christopher G Pretty, Aaron J Le Compte, J Geoffrey Chase, Geoffrey M Shaw, Jean-Charles Preiser, Sophie Penning, Thomas Desaive, Christopher G Pretty, Aaron J Le Compte, J Geoffrey Chase, Geoffrey M Shaw, Jean-Charles Preiser, Sophie Penning, Thomas Desaive

Abstract

Background: Effective tight glycemic control (TGC) can improve outcomes in critical care patients, but it is difficult to achieve consistently. Insulin sensitivity defines the metabolic balance between insulin concentration and insulin-mediated glucose disposal. Hence, variability of insulin sensitivity can cause variable glycemia. This study quantifies and compares the daily evolution of insulin sensitivity level and variability for critical care patients receiving TGC.

Methods: This is a retrospective analysis of data from the SPRINT TGC study involving patients admitted to a mixed medical-surgical ICU between August 2005 and May 2007. Only patients who commenced TGC within 12 hours of ICU admission and spent at least 24 hours on the SPRINT protocol were included (N = 164). Model-based insulin sensitivity (SI) was identified each hour. Absolute level and hour-to-hour percent changes in SI were assessed on cohort and per-patient bases. Levels and variability of SI were compared over time on 24-hour and 6-hour timescales for the first 4 days of ICU stay.

Results: Cohort and per-patient median SI levels increased by 34% and 33% (p < 0.001) between days 1 and 2 of ICU stay. Concomitantly, cohort and per-patient SI variability decreased by 32% and 36% (p < 0.001). For 72% of the cohort, median SI on day 2 was higher than on day 1. The day 1-2 results are the only clear, statistically significant trends across both analyses. Analysis of the first 24 hours using 6-hour blocks of SI data showed that most of the improvement in insulin sensitivity level and variability seen between days 1 and 2 occurred during the first 12-18 hours of day 1.

Conclusions: Critically ill patients have significantly lower and more variable insulin sensitivity on day 1 than later in their ICU stay and particularly during the first 12 hours. This rapid improvement is likely due to the decline of counter-regulatory hormones as the acute phase of critical illness progresses. Clinically, these results suggest that while using TGC protocols with patients during their first few days of ICU stay, extra care should be afforded. Increased measurement frequency, higher target glycemic bands, conservative insulin dosing, and modulation of carbohydrate nutrition should be considered to minimize safely the outcome glycemic variability and reduce the risk of hypoglycemia.

Figures

Figure 1
Figure 1
Schematic illustration of the glucose-insulin system model used in this analysis.
Figure 2
Figure 2
Insulin sensitivity level distributions by cohort (left) and per-patient median (right) using 24-hr blocks of data.
Figure 3
Figure 3
Insulin sensitivity variability distributions by cohort (hour-to-hour percentage change) and per-patient interquartile-range using 24 hr blocks of data.
Figure 4
Figure 4
Insulin sensitivity level distributions by cohort (left) and per-patient median (right) using 6-hr blocks of data.
Figure 5
Figure 5
Insulin sensitivity variability distributions by cohort (hour-to-hour percentage change) and per-patient interquartile-range using 6-hr blocks of data.

References

    1. Chase JG, Shaw G, Le Compte A, Lonergan T, Willacy M, Wong X-W, Lin J, Lotz T, Lee D, Hann C. Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change. Crit Care. 2008;12(2):R49. doi: 10.1186/cc6868.
    1. Van den Berghe G, Wilmer A, Hermans G, Meersseman W, Wouters PJ, Milants I, Van Wijngaerden E, Bobbaers H, Bouillon R. Intensive insulin therapy in the medical ICU. N Engl J Med. 2006;354(5):449–461. doi: 10.1056/NEJMoa052521.
    1. Van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in the critically ill patients. N Engl J Med. 2001;345(19):1359–1367. doi: 10.1056/NEJMoa011300.
    1. Krinsley JS. Decreased mortality of critically ill patients with the use of an intensive glycemic management protocol. Crit Care Med. 2003;31:A19.
    1. Finfer S, Chittock DR, Su SY, Blair D, Foster D, Dhingra V, Bellomo R, Cook D, Dodek P, Henderson WR. et al.Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360(13):1283–1297.
    1. Preiser JC, Devos P, Ruiz-Santana S, Melot C, Annane D, Groeneveld J, Iapichino G, Leverve X, Nitenberg G, Singer P. et al.A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study. Intensive Care Med. 2009;35(10):1738–1748. doi: 10.1007/s00134-009-1585-2.
    1. Brunkhorst FM, Engel C, Bloos F, Meier-Hellmann A, Ragaller M, Weiler N, Moerer O, Gruendling M, Oppert M, Grond S. et al.Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med. 2008;358(2):125–139. doi: 10.1056/NEJMoa070716.
    1. Chase JG, Le Compte AJ, Suhaimi F, Shaw GM, Lynn A, Lin J, Pretty CG, Razak N, Parente JD, Hann CE. 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.2010.11.006.
    1. Egi M, Bellomo R, Stachowski E, French CJ, Hart G. Variability of blood glucose concentration and short-term mortality in critically ill patients. Anesthesiology. 2006;105(2):244–252. doi: 10.1097/00000542-200608000-00006.
    1. Egi M, Bellomo R, Stachowski E, French CJ, Hart GK, Taori G, Hegarty C, Bailey M. Hypoglycemia and outcome in critically ill patients. Mayo Clin Proc. 2010;85(3):217–224. doi: 10.4065/mcp.2009.0394.
    1. 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.0b013e31818b38d2.
    1. Bagshaw SM, Bellomo R, Jacka MJ, Egi M, Hart GK, George C. The impact of early hypoglycemia and blood glucose variability on outcome in critical illness. Crit Care. 2009;13(3):R91. doi: 10.1186/cc7921.
    1. Chase JG, Shaw GM, Lotz T, LeCompte A, Wong J, Lin J, Lonergan T, Willacy M, Hann CE. Model-based insulin and nutrition administration for tight glycaemic control in critical care. Curr Drug Deliv. 2007;4(4):283–296. doi: 10.2174/156720107782151223.
    1. Lonergan T, Le Compte A, Willacy M, Chase JG, Shaw GM, Hann CE, Lotz T, Lin J, Wong XW. A pilot study of the SPRINT protocol for tight glycemic control in critically Ill patients. Diabetes Technol Ther. 2006;8(4):449–462. doi: 10.1089/dia.2006.8.449.
    1. Hann CE, Chase JG, Lin J, Lotz T, Doran CV, Shaw GM. Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model. Comput Methods Programs Biomed. 2005;77(3):259–270. doi: 10.1016/j.cmpb.2004.10.006.
    1. Lin J, Razak NN, Pretty CG, Le Compte A, Docherty P, Parente JD, Shaw GM, Hann CE, Geoffrey Chase J. 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.2010.12.008.
    1. Lotz TF, Chase JG, McAuley KA, Shaw GM, Wong XW, Lin J, Lecompte A, Hann CE, Mann JI. Monte Carlo analysis of a new model-based method for insulin sensitivity testing. Comput Methods Programs Biomed. 2008;89(3):215–225. doi: 10.1016/j.cmpb.2007.03.007.
    1. Evans A, Shaw GM, Le Compte A, Tan CS, Ward L, Steel J, Pretty CG, Pfeifer L, Penning S, Suhaimi F. et al.Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control. Ann Intensive Care. 2011;1:38. doi: 10.1186/2110-5820-1-38.
    1. Le Compte A, Chase J, Lynn A, Hann C, Shaw G, Wong X, Lin J. Blood Glucose Controller for Neonatal Intensive Care: Virtual trials development and 1st clinical trials. J Diabetes Sci Technol. 2009;3(5):1066–1081.
    1. Shaw GM, Chase JG, Wong J, Lin J, Lotz T, Le Compte AJ, Lonergan TR, Willacy MB, Hann CE. Rethinking glycaemic control in critical illness - from concept to clinical practice change. Crit Care Resusc. 2006;8(2):90–99.
    1. Chernow B, Alexander HR, Smallridge RC, Thompson WR, Cook D, Beardsley D, Fink MP, Lake CR, Fletcher JR. Hormonal responses to graded surgical stress. Arch Intern Med. 1987;147(7):1273–1278. doi: 10.1001/archinte.1987.00370070087013.
    1. Weissman C. The metabolic response to stress: an overview and update. Anesthesiology. 1990;73(2):308–327. doi: 10.1097/00000542-199008000-00020.
    1. Frayn KN. Hormonal control of metabolism in trauma and sepsis. Clin Endocrinol (Oxf) 1986;24(5):577–599. doi: 10.1111/j.1365-2265.1986.tb03288.x.
    1. Jaattela A, Alho A, Avikainen V, Karaharju E, Kataja J, Lahdensuu M, Lepisto P, Rokkanen P, Tervo T. Plasma catecholamines in severely injured patients: a prospective study on 45 patients with multiple injuries. Br J Surg. 1975;62(3):177–181. doi: 10.1002/bjs.1800620303.
    1. Black PR, Brooks DC, Bessey PQ, Wolfe RR, Wilmore DW. Mechanisms of insulin resistance following injury. Ann Surg. 1982;196(4):420–435. doi: 10.1097/00000658-198210000-00005.
    1. Deibert DC, DeFronzo RA. Epinephrine-induced insulin resistance in man. J Clin Invest. 1980;65(3):717–721. doi: 10.1172/JCI109718.
    1. Thorell A, Rooyackers O, Myrenfors P, Soop M, Nygren J, Ljungqvist OH. Intensive insulin treatment in critically ill trauma patients normalizes glucose by reducing endogenous glucose production. J Clin Endocrinol Metab. 2004;89(11):5382–5386. doi: 10.1210/jc.2004-1118.
    1. Chase JG, Suhaimi F, Penning S, Preiser JC, Le Compte AJ, Lin J, Pretty CG, Shaw GM, Moorhead KT, Desaive T. Validation of a model-based virtual trials method for tight glycemic control in intensive care. Biomed Eng Online. 2010;9:84. doi: 10.1186/1475-925X-9-84.
    1. Arkray. Glucocard™ Test Strip 2 Data Sheet. Arkray Inc, apan; 2007.
    1. Chase J, Shaw GM, Wong XW, Lotz T, Lin J, Hann CE. Model-based glycaemic control in critical care: a review of the state of the possible. Biomed Signal Proc Control. 2006;1(1):3–21. doi: 10.1016/j.bspc.2006.03.002.
    1. Davidson PC, Steed RD, Bode BW. Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation. Diabetes Care. 2005;28(10):2418–2423. doi: 10.2337/diacare.28.10.2418.
    1. Goldberg PA, Siegel MD, Sherwin RS, Halickman JI, Lee M, Bailey VA, Lee SL, Dziura JD, Inzucchi SE. Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit. Diabetes Care. 2004;27(2):461–467. doi: 10.2337/diacare.27.2.461.
    1. Hermanides J, Vriesendorp TM, Bosman RJ, Zandstra DF, Hoekstra JB, Devries JH. Glucose variability is associated with intensive care unit mortality. Crit Care Med. 2010;38(3):838–842. doi: 10.1097/CCM.0b013e3181cc4be9.
    1. Piconi L, Quagliaro L, Assaloni R, Da Ros R, Maier A, Zuodar G, Ceriello A. Constant and intermittent high glucose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction. Diabetes Metab Res Rev. 2006;22(3):198–203. doi: 10.1002/dmrr.613.
    1. Risso A, Mercuri F, Quagliaro L, Damante G, Ceriello A. Intermittent high glucose enhances apoptosis in human umbilical vein endothelial cells in culture. Am J Physiol Endocrinol Metab. 2001;281(5):E924–E930.
    1. Chase JG, Compte AJL, Preiser J-C, Shaw GM, Penning S, Desaive T. Physiological modeling, tight glycemic control and the ICU clinician: what are models and how can they affect practice? Ann Intensive Care. 2011;1(1):11. doi: 10.1186/2110-5820-1-11.
    1. McAuley KA, Berkeley JE, Docherty PD, Lotz TF, Te Morenga LA, Shaw GM, Williams SM, Chase JG, Mann JI. The dynamic insulin sensitivity and secretion test–a novel measure of insulin sensitivity. Metabolism. 2011;60(12):1748–1756. doi: 10.1016/j.metabol.2011.05.009.
    1. Moghissi ES, Korytkowski MT, DiNardo M, Einhorn D, Hellman R, Hirsch IB, Inzucchi SE, Ismail-Beigi F, Kirkman MS, Umpierrez GE. American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control. Diabetes Care. 2009;32(6):1119–1131. doi: 10.2337/dc09-9029.
    1. Qaseem A, Humphrey LL, Chou R, Snow V, Shekelle P. Use of intensive insulin therapy for the management of glycemic control in hospitalized patients: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2011;154(4):260–267.
    1. Ichai C, Preiser JC. International recommendations for glucose control in adult non diabetic critically ill patients. Crit Care. 2010;14(5):R166.
    1. Lonergan T, LeCompte A, Willacy M, Chase JG, Shaw GM, Wong XW, Lotz T, Lin J, Hann CE. A simple insulin-nutrition protocol for tight glycemic control in critical illness: development and protocol comparison. Diabetes Technol Ther. 2006;8(2):191–206. doi: 10.1089/dia.2006.8.191.
    1. Krishnan JA, Parce PB, Martinez A, Diette GB, Brower RG. Caloric intake in medical ICU patients: consistency of care with guidelines and relationship to clinical outcomes. Chest. 2003;124(1):297–305. doi: 10.1378/chest.124.1.297.
    1. Suhaimi F, Le Compte A, Preiser JC, Shaw GM, Massion P, Radermecker R, Pretty CG, Lin J, Desaive T, Chase JG. What makes tight glycemic control tight? The impact of variability and nutrition in two clinical studies. J Diabetes Sci Technol. 2010;4(2):284–298.
    1. Natali A, Gastaldelli A, Camastra S, Sironi AM, Toschi E, Masoni A, Ferrannini E, Mari A. Dose–response characteristics of insulin action on glucose metabolism: a non-steady-state approach. Am J Physiol Endocrinol Metab. 2000;278(5):E794–E801.
    1. Prigeon RL, Roder ME, Porte D Jr, Kahn SE. 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. 1996;97(2):501–507.
    1. Chase JG, Shaw GM, Lin J, Doran CV, Hann C, Lotz T, Wake GC, Broughton B. Targeted glycemic reduction in critical care using closed-loop control. Diabetes Technol Ther. 2005;7(2):274–282. doi: 10.1089/dia.2005.7.274.
    1. Chase JG, Shaw GM, Lin J, Doran CV, Bloomfield M, Wake GC, Broughton B, Hann C, Lotz T. Impact of insulin-stimulated glucose removal saturation on dynamic modelling and control of hyperglycaemia. Int J Intellig Syst Technol Appl (IJISTA) 2004;1(1/2):79–94.
    1. Rubinson L, Diette GB, Song X, Brower RG, Krishnan JA. Low caloric intake is associated with nosocomial bloodstream infections in patients in the medical intensive care unit. Crit Care Med. 2004;32(2):350–357. doi: 10.1097/01.CCM.0000089641.06306.68.
    1. Cerra FB, Benitez MR, Blackburn GL, Irwin RS, Jeejeebhoy K, Katz DP, Pingleton SK, Pomposelli J, Rombeau JL, Shronts E. et al.Applied nutrition in ICU patients. A consensus statement of the American College of Chest Physicians. Chest. 1997;111(3):769–778.
    1. Braithwaite SS, Edkins R, Macgregor KL, Sredzienski ES, Houston M, Zarzaur B, Rich PB, Benedetto B, Rutherford EJ. Performance of a dose-defining insulin infusion protocol among trauma service intensive care unit admissions. Diabetes Technol Ther. 2006;8(4):476–488. doi: 10.1089/dia.2006.8.476.
    1. Preiser JC. Year in review 2008: Critical Care–metabolism. Crit Care. 2009;13(5):228. doi: 10.1186/cc8024.
    1. Mesotten D, Van den Berghe G. Clinical benefits of tight glycaemic control: focus on the intensive care unit. Best Pract Res Clin Anaesthesiol. 2009;23(4):421–429. doi: 10.1016/j.bpa.2009.08.006.
    1. Griesdale DE, de Souza RJ, van Dam RM, Heyland DK, Cook DJ, Malhotra A, Dhaliwal R, Henderson WR, Chittock DR, Finfer S. et al.Intensive insulin therapy and mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data. CMAJ. 2009;180(8):821–827. doi: 10.1503/cmaj.090206.
    1. Lin J, Lee D, Chase JG, Shaw GM, Le Compte A, Lotz T, Wong J, Lonergan T, Hann CE. Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care. Compt Methods Programs Biomed. 2008;89(2):141–152. doi: 10.1016/j.cmpb.2007.04.006.
    1. Chase JG, Shaw GM, Lin J, Doran CV, Hann C, Robertson MB, Browne PM, Lotz T, Wake GC, Broughton B. Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care. Med Eng Phys. 2005;27(1):1–11. doi: 10.1016/j.medengphy.2004.08.006.
    1. Wong XW, Singh-Levett I, Hollingsworth LJ, Shaw GM, Hann CE, Lotz T, Lin J, Wong OS, Chase JG. A novel, model-based insulin and nutrition delivery controller for glycemic regulation in critically ill patients. Diabetes Technol Ther. 2006;8(2):174–190. doi: 10.1089/dia.2006.8.174.
    1. Wong XW, Chase JG, Shaw GM, Hann CE, Lotz T, Lin J, Singh-Levett I, Hollingsworth LJ, Wong OS, Andreassen S. Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study. Med Eng Phys. 2006;28(7):665–681. doi: 10.1016/j.medengphy.2005.10.015.
    1. Chase JG, Wong X-W, Singh-Levett I, Hollingsworth LJ, Hann CE, Shaw GM, Lotz T, Lin J. Simulation and initial proof-of-concept validation of a glycaemic regulation algorithm in critical care. Control Eng Pract. 2008;16(3):271–285. doi: 10.1016/j.conengprac.2007.04.009.
    1. Hann C, Chase J, Ypma M, Elfring J, Nor N, Lawrence P, Shaw G. The Impact of Parameter Identification Methods on Drug Therapy Control in an Intensive Care Unit. Open Med Inform J. 2008;2:92–104. doi: 10.2174/1874431100802010092.
    1. Cobelli C, Carson ER, Finkelstein L, Leaning MS. Validation of simple and complex models in physiology and medicine. Am J Physiol. 1984;246(2 Pt 2):R259–R266.
    1. Cobelli C, Pacini G, Toffolo G, Sacca L. Estimation of insulin sensitivity and glucose clearance from minimal model: new insights from labeled IVGTT. Am J Physiol. 1986;250(5 Pt 1):E591–E598.
    1. Carson ER, Cobelli C. Modelling methodology for physiology and medicine. Academic, San Diego; 2001.
    1. Cobelli C, Caumo A, Omenetto M. Minimal model SG overestimation and SI underestimation: improved accuracy by a Bayesian two-compartment model. Am J Physiol. 1999;277(3 Pt 1):E481–E488.
    1. Hovorka R, Chassin LJ, Ellmerer M, Plank J, Wilinska ME. A simulation model of glucose regulation in the critically ill. Physiol Meas. 2008;29(8):959–978. doi: 10.1088/0967-3334/29/8/008.
    1. Pillonetto G, Sparacino G, Cobelli C. Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation. Math Biosci. 2003;184(1):53–67. doi: 10.1016/S0025-5564(03)00044-0.
    1. Le Compte AJ, Lee DS, Chase JG, Lin J, Lynn A, Shaw GM. Blood glucose prediction using stochastic modeling in neonatal intensive care. IEEE Trans Biomed Eng. 2010;57(3):509–518.
    1. Lin J, Lee D, Chase J, Hann C, Lotz T, Wong X. Stochastic Modelling of Insulin Sensitivity Variability in Critical Care. Biomed Signal Proc Control. 2006;1:229–242. doi: 10.1016/j.bspc.2006.09.003.
    1. Lin J, Lee D, Chase JG, Shaw GM, Le Compte A, Lotz T, Wong J, Lonergan T, Hann CE. 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.2007.04.006.
    1. Lotz TF, Chase JG, McAuley KA, Lee DS, Lin J, Hann CE, Mann JI. Transient and steady-state euglycemic clamp validation of a model for glycemic control and insulin sensitivity testing. Diabetes Technol Ther. 2006;8(3):338–346. doi: 10.1089/dia.2006.8.338.
    1. Lotz T. High Resolution Clinical Model-Based Assessment of Insulin Sensitivity. University of Canterbury, Christchurch; 2007.
    1. Lin J, Razak NN, Pretty CG, Le Compte A, Docherty P, Parente JD, Shaw GM, Hann CE. Geoffrey Chase J: 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.2010.12.008.
    1. McAuley KA, Williams SM, Mann JI, Goulding A, Chisholm A, Wilson N, Story G, McLay RT, Harper MJ, Jones IE. Intensive lifestyle changes are necessary to improve insulin sensitivity: a randomized controlled trial. Diabetes Care. 2002;25(3):445–452. doi: 10.2337/diacare.25.3.445.
    1. Le Compte A. Modelling the Glucose-Insulin Regulatory System for Glycaemic Control in Neonatal Intensive Care. PhD thesis. University of Canterbury, Christchurch, New Zealand; 2009.
    1. Lin J. Robust Modelling and Control of the Glucose-Insulin Regulatory System for Tight Glycemic Control of Critical Care Patients. University of Canterbury, Christchurch; 2007.

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