Indian Journal of Critical Care Medicine

Register      Login

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue

Online First

Archive
Related articles

VOLUME 18 , ISSUE 12 ( December, 2014 ) > List of Articles

RESEARCH ARTICLE

The benefits of tight glycemic control in critical illness: Sweeter than assumed?

Andrew John Gardner

Keywords : Critical care, glucose, monitoring, tight glycaemic control

Citation Information : Gardner AJ. The benefits of tight glycemic control in critical illness: Sweeter than assumed?. Indian J Crit Care Med 2014; 18 (12):807-813.

DOI: 10.4103/0972-5229.146315

License: CC BY-ND 3.0

Published Online: 01-03-2009

Copyright Statement:  Copyright © 2014; The Author(s).


Abstract

Hyperglycemia has long been observed amongst critically ill patients and associated with increased mortality and morbidity. Tight glycemic control (TGC) is the clinical practice of controlling blood glucose (BG) down to the "normal" 4.4-6.1 mmol/L range of a healthy adult, aiming to avoid any potential deleterious effects of hyperglycemia. The ground-breaking Leuven trials reported a mortality benefit of approximately 10% when using this technique, which led many to endorse its benefits. In stark contrast, the multi-center normoglycemia in intensive care evaluation-survival using glucose algorithm regulation (NICE-SUGAR) trial, not only failed to replicate this outcome, but showed TGC appeared to be harmful. This review attempts to re-analyze the current literature and suggests that hope for a benefit from TGC should not be so hastily abandoned. Inconsistencies in study design make a like-for-like comparison of the Leuven and NICE-SUGAR trials challenging. Inadequate measures preventing hypoglycemic events are likely to have contributed to the increased mortality observed in the NICE-SUGAR treatment group. New technologies, including predictive models, are being developed to improve the safety of TGC, primarily by minimizing hypoglycemia. Intensive Care Units which are unequipped in trained staff and monitoring capacity would be unwise to attempt TGC, especially considering its yet undefined benefit and the deleterious nature of hypoglycemia. International recommendations now advise clinicians to ensure critically ill patients maintain a BG of <10 mmol/L. Despite encouraging evidence, currently we can only speculate and remain optimistic that the benefit of TGC in clinical practice is sweeter than assumed.


PDF Share
  1. Hyperglycemia: An independent marker of in-hospital mortality in patients with undiagnosed diabetes. J Clin Endocrinol Metab 2002;87:978-82.
  2. Lessons from physiology experiments applied to medicine, done at the College of France published by Henri Lefèvre. Paris: J.-B. Baillère and sons; 1985.
  3. Coronary thrombosis and myocardial infarction, with glycosuria. Br Med J 1931;1:618-9.
  4. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: A systematic overview. Lancet 2000;355:773-8.
  5. Early blood glucose control and mortality in critically ill patients in Australia. Crit Care Med 2009;37:463-70.
  6. Tight blood glucose control is renoprotective in critically ill patients. J Am Soc Nephrol 2008;19:571-8.
  7. How does blood glucose control with insulin save lives in intensive care? J Clin Invest 2004;114:1187-95.
  8. Glycemic variability: A strong independent predictor of mortality in critically ill patients. Crit Care Med 2008;36:3008-13.
  9. Tight glycemic control versus standard care after pediatric cardiac surgery. N Engl J Med 2012;367:1208-19.
  10. Intensive versus conventional glucose control in critically ill patients. N Engl J Med 2009;360:1283-97.
  11. Intensive insulin therapy in the medical ICU. N Engl J Med 2006;354:449-61.
  12. Intensive insulin therapy in critically ill patients. N Engl J Med 2001;345:1359-67.
  13. Benefits and risks of tight glucose control in critically ill adults: A meta-analysis. JAMA 2008;300:933-44.
  14. Variability of insulin sensitivity during the first 4? days of critical illness: Implications for tight glycemic control. Ann Intensive Care 2012;2:17.
  15. Intensive insulin therapy in the ICU - reconciling the evidence. Nat Rev Endocrinol 2012;8:374-8.
  16. Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis. Crit Care Med 2009;37:3001-9.
  17. Metabolic, endocrine, and immune effects of stress hyperglycemia in a rabbit model of prolonged critical illness. Endocrinology 2003;144:5329-38.
  18. Glucose control and mortality in critically ill patients. JAMA 2003;290:2041-7.
  19. Organ failure and tight glycemic control in the SPRINT study. Crit Care 2010;14:R154.
  20. Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: A clinical practice change. Crit Care 2008;12:R49.
  21. Intensive insulin therapy in mixed medical/surgical intensive care units: Benefit versus harm. Diabetes 2006;55:3151-9.
  22. Intensive insulin protocol improves glucose control and is associated with a reduction in intensive care unit mortality. J Am Coll Surg 2007;204:1048-54.
  23. Intensive insulin therapy for patients in paediatric intensive care: A prospective, randomised controlled study. Lancet 2009;373:547-56.
  24. Glucose in the ICU - evidence, guidelines, and outcomes. N Engl J Med 2012;367:1259-60.
  25. Neurocognitive development of children 4 years after critical illness and treatment with tight glucose control: A randomized controlled trial. JAMA 2012;308:1641-50.
  26. The effect of tight glycaemic control, during and after cardiac surgery, on patient mortality and morbidity: A systematic review and meta-analysis. J Cardiothorac Surg 2011;6:3.
  27. Glucontrol, no control, or out of control? Intensive Care Med 2010;36:173-4.
  28. Incidence of hypoglycemia with tight glycemic control protocols: A comparative study. Diabetes Technol Ther 2010;12:635-9.
  29. Toward understanding tight glycemic control in the ICU: A systematic review and metaanalysis. Chest 2010;137:544-51.
  30. 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;35:1738-48.
  31. NICE-SUGAR: The end of a sweet dream? Crit Care 2009;13:143.
  32. Intensive insulin therapy and mortality among critically ill patients: A meta-analysis including NICE-SUGAR study data. CMAJ 2009;180:821-7.
  33. Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med 2008;358:125-39.
  34. Glycemic control and hypoglycemia: Is the loser the winner? Diabetes Care 2008;31:2072-6.
  35. Hypoglycemia and outcome in critically ill patients. Mayo Clin Proc 2010;85:217-24.
  36. Hypoglycemia is associated with intensive care unit mortality. Crit Care Med 2010;38:1430-4.
  37. Critique of normoglycemia in intensive care evaluation: Survival using glucose algorithm regulation (NICE-SUGAR) - A review of recent literature. Curr Opin Clin Nutr Metab Care 2010;13:211-4.
  38. The NICE-SUGAR (Normoglycaemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation) Study: Statistical analysis plan. Crit Care Resusc 2009;11:46-57.
  39. Clinical review: Intensive insulin therapy in critically ill patients: NICE-SUGAR or Leuven blood glucose target? J Clin Endocrinol Metab 2009;94:3163-70.
  40. Tight glucose control in the intensive care unit: Are glucose meters up to the task? Clin Chem 2009;55:18-20.
  41. The effects of precision, haematocrit, pH and oxygen tension on point-of-care glucose measurement in critically ill patients: A prospective study. Ann Clin Biochem 2012;49:144-51.
  42. Uncertainties in the measurement of blood glucose in paediatric intensive care: Implications for clinical trials of tight glycaemic control. Intensive Care Med 2011;37:1517-24.
  43. Could susceptibility to low hematocrit interference have compromised the results of the NICE-SUGAR trial? Clin Chem 2010;56:1193-5.
  44. International recommendations for glucose control in adult non diabetic critically ill patients. Crit Care 2010;14:R166.
  45. Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients. Biomed Eng Online 2012;11:58.
  46. First pilot trial of the STAR-Liege protocol for tight glycemic control in critically ill patients. Comput Methods Programs Biomed 2012;108:844-59.
  47. TBC: Analysis of odds ratio in glycaemic variability using the SPRINT trial data. Unpublished Data, 2013.
  48. Glucose variability is associated with intensive care unit mortality. Crit Care Med 2010;38:838-42.
  49. The interaction of chronic and acute glycemia with mortality in critically ill patients with diabetes. Crit Care Med 2011;39:105-11.
  50. Time-dependent glycemic variability and mortality in critically ill patients with diabetes. Crit Care Med 2011;39:211-3.
  51. Phase II study of tight glycaemic control in COPD patients with exacerbations admitted to the acute medical unit. BMJ Open 2011;1:e000210.
  52. Dynamic characteristics of blood glucose time series during the course of critical illness: Effects of intensive insulin therapy and relative association with mortality. Crit Care Med 2010;38:1021-9.
  53. Lowering of glucose in critical care: A randomized pilot trial. J Crit Care 2007;22:112-8.
  54. Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time. Crit Care 2009;13:R163.
  55. Stochastic targeted (STAR) glycemic control: Design, safety, and performance. J Diabetes Sci Technol 2012;6:102-15.
  56. A pilot study of the SPRINT protocol for tight glycemic control in critically Ill patients. Diabetes Technol Ther 2006;8:449-62.
  57. Interface design and human factors considerations for model-based tight glycemic control in critical care. J Diabetes Sci Technol 2012;6:125-34.
  58. Pilot study of the SPRINT glycemic control protocol in a Hungarian medical intensive care unit. J Diabetes Sci Technol 2012;6:1464-77.
  59. What makes tight glycemic control tight? The impact of variability and nutrition in two clinical studies. J Diabetes Sci Technol 2010;4:284-98.
  60. Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care. Comput Methods Programs Biomed 2008;89:141-52.
  61. Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control. Ann Intensive Care 2011;1:38.
  62. Nurse workload in implementing a tight glycaemic control protocol in a UK hospital: A pilot time-in-motion study. Nurs Crit Care 2012;17:279-84.
  63. Impact of early parenteral nutrition completing enteral nutrition in adult critically ill patients (EPaNIC trial): A study protocol and statistical analysis plan for a randomized controlled trial. Trials 2011;12:21.
  64. Early versus late parenteral nutrition in critically ill adults. N Engl J Med 2011;365:506-17.
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.