Literature DB >> 23594397

Glycemic control in the critically ill - 3 domains and diabetic status means one size does not fit all!

James S Krinsley.   

Abstract

Hyperglycemia, hypoglycemia, and increased glucose variability have each been shown to be independently associated with increased risk of mortality in the critically ill. Sechterberger and colleagues have completed a large observational cohort study that demonstrates that diabetic status modulates these relationships in clinically meaningful ways. These findings corroborate, in a strikingly consistent manner, those of another very recently published large observational study.

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Year:  2013        PMID: 23594397      PMCID: PMC3672498          DOI: 10.1186/cc12584

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


Sechterberger and colleagues [1] recently reported a large single-center observational cohort study of the relationship of diabetic status to dysglycemia - hyperglycemia, hypoglycemia, and increased glycemic variability - and mortality in the critically ill. The online publication of their investigation came less than 2 weeks after that of a nearly identical study that I was privileged to lead and that involved 44,964 patients from 23 intensive care units (ICUs) in four continents [2]. The findings of the two investigations, which both appear in finalized form in this issue of Critical Care, are strikingly similar, a confirmation that strengthens the power of the conclusions of both studies. It may be time to change our glycemic control practice in the ICU - again! The management of blood glucose (BG) in the critically ill became a topic of great interest following the publication of the landmark single-center surgical ICU study targeting euglyemia (80 to 110 mg/dL) in Leuven, Belgium, in 2001 [3]. This was truly the 'study that launched a thousand protocols' and resulted in guidelines promoting 'tight' control [4]. Nevertheless, a series of randomized interventional trials targeting euglyemia failed to corroborate the impressive findings of the initial study, culminating in the 6,104-patient NICE-SUGAR (Normoglycaemia in Intensive Care Evaluation Survival Using Glucose Algorithm Regulation) trial [5] that suggested that a moderate glycemic target was preferable to 'tighter' control. The pendulum then swung. New guidelines promoted much higher glycemic target ranges (140 to 180 or even 140 to 200 mg/dL) for all patients in the ICU [6]. What explains the inconsistent results of the interventional trials of glycemic control in the critically ill? Whereas hyperglycemia was the target of the interventional trials, hypoglycemia was their unifying complication. Hypoglycemia was found to be independently associated with increased risk of mortality in the major interventional trials [7,8] and in several observational cohort studies [9-11]. Glucose variability was not even considered in the design and analysis of the interventional trials. Nevertheless, high levels of this third 'domain' of glycemic control were subsequently found to be independently associated with increased risk of mortality in the Leuven studies [7] and in several retrospective series [12-14]. Finally, the independent role of diabetic status on modulating these relationships has emerged as another crucial factor [15]. The new 'three domains' study by Sechterberger and colleagues [1] evaluated 10,320 patients admitted to a single 24-bed medical-surgical ICU between 2004 and 2011. The target glucose range was initially 72 to 136 mg/dL. After the publication of the NICE-SUGAR trial, the target was changed to 90 to 162 mg/dL. Notably, in keeping with routine clinical practice, the same target was applied to all patients regardless of diagnosis and diabetic status. A U-shaped curve described the relationship of hyperglycemia to mortality among non-diabetics, but there was no consistent relationship between mean BG and mortality among those with diabetes. Hypoglycemia, defined as a BG of not more than 40 mg/dL, was independently associated with increased risk of mortality in both groups, as was 'low glucose', idiosyncratically defined as a BG of 41 to 85 mg/dL. Finally, increasing glycemic variability, defined by using the metric of mean absolute glucose change, was independently associated with increased risk of mortality among non-diabetics but not among diabetics. Every one of these major conclusions confirmed the findings of our study, published online by the same journal 11 days earlier [2]! This convergence has potential implications for clinical practice. The era of 'one size fits all' in regard to glycemic targets in the critically ill has likely ended. In my own ICU, I am preparing my nurses for the task of developing a range of glycemic targets stratified by (a) diagnosis (the earlier study [2], but not the current one [1], evaluated differences between medical and surgical patients), (b) diabetic status, and (c) and among the patients with diabetes, further stratified by the intensity of preadmission glycemic control, based on HgbA1c levels [16]. Perhaps I should make sure I am on vacation on the day that six different protocols are rolled out! Furthermore, the two 'three domains' studies [1,2] provide a clarion call for the development and clinical implementation of new technologies to monitor BG. Quite simply, intermittent monitoring is not up to the task, a conclusion reached last year by a consensus panel convened at the 32nd International Symposium on Intensive Care and Emergency Medicine [17]. We will be asking our nurses to (a) target a discrete BG range by using insulin, (b) avoid hypoglycemia, and (c) minimize glucose variability. We now have abundant data demonstrating that this cannot be accomplished safely or effectively by using meters, strips, and blood gas analyzers measuring BG at the (Herculean) rate of 13 tests per 24 hours in this study [1] or the three to nine tests per 24 hours (perhaps a more realistic rate, given the 5 to 10 minutes that each measurement takes, from data acquisition to treatment decision) among the centers participating in the earlier study [2]. Moreover, we can be certain that these monitoring frequencies do not detect every episode of dysglyemia that occurs in our patients! Successful management of all three domains of glycemic control will require the use of continuous or nearly continuous technologies [18]. Fortunately, this era is about to begin.

Abbreviations

BG: blood glucose; ICU: intensive care unit; NICE-SUGAR: Normoglycaemia in Intensive Care Evaluation Survival Using Glucose Algorithm Regulation.

Competing interests

JSK reported receiving consultant fees from Medtronic Inc. (Minneapolis, MN, USA), Edwards Life Sciences (Irvine, CA, USA), GlySure (Abingdon, UK), Roche Diagnostics (Basel, Switzerland), OptiScan Biomedical (Victoria, Australia), and Alere (San Diego, CA, USA) and research support from OptiScan Biomedical.
  18 in total

1.  The interaction of chronic and acute glycemia with mortality in critically ill patients with diabetes.

Authors:  Moritoki Egi; Rinaldo Bellomo; Edward Stachowski; Craig J French; Graeme K Hart; Gopal Taori; Colin Hegarty; Michael Bailey
Journal:  Crit Care Med       Date:  2011-01       Impact factor: 7.598

2.  Use of intensive insulin therapy for the management of glycemic control in hospitalized patients: a clinical practice guideline from the American College of Physicians.

Authors:  Amir Qaseem; Linda L Humphrey; Roger Chou; Vincenza Snow; Paul Shekelle
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3.  Hypoglycemia is associated with intensive care unit mortality.

Authors:  Jeroen Hermanides; Robert J Bosman; Titia M Vriesendorp; Ron Dotsch; Frits R Rosendaal; Durk F Zandstra; Joost B L Hoekstra; J Hans DeVries
Journal:  Crit Care Med       Date:  2010-06       Impact factor: 7.598

4.  Hypoglycemia and risk of death in critically ill patients.

Authors:  Simon Finfer; Bette Liu; Dean R Chittock; Robyn Norton; John A Myburgh; Colin McArthur; Imogen Mitchell; Denise Foster; Vinay Dhingra; William R Henderson; Juan J Ronco; Rinaldo Bellomo; Deborah Cook; Ellen McDonald; Peter Dodek; Paul C Hébert; Daren K Heyland; Bruce G Robinson
Journal:  N Engl J Med       Date:  2012-09-20       Impact factor: 91.245

Review 5.  The impact of premorbid diabetic status on the relationship between the three domains of glycemic control and mortality in critically ill patients.

Authors:  James S Krinsley; Geert Meyfroidt; Greet van den Berghe; Mori Egi; Rinaldo Bellomo
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2012-03       Impact factor: 4.294

6.  Dynamic characteristics of blood glucose time series during the course of critical illness: effects of intensive insulin therapy and relative association with mortality.

Authors:  Geert Meyfroidt; Daniel M Keenan; Xin Wang; Pieter J Wouters; Johannes D Veldhuis; Greet Van den Berghe
Journal:  Crit Care Med       Date:  2010-04       Impact factor: 7.598

7.  Mild hypoglycemia is independently associated with increased mortality in the critically ill.

Authors:  James S Krinsley; Marcus J Schultz; Peter E Spronk; Robin E Harmsen; Floris van Braam Houckgeest; Johannes P van der Sluijs; Christian Mélot; Jean Charles Preiser
Journal:  Crit Care       Date:  2011-07-25       Impact factor: 9.097

Review 8.  Clinical review: Consensus recommendations on measurement of blood glucose and reporting glycemic control in critically ill adults.

Authors:  Simon Finfer; Jan Wernerman; Jean-Charles Preiser; Tony Cass; Thomas Desaive; Roman Hovorka; Jeffrey I Joseph; Mikhail Kosiborod; James Krinsley; Iain Mackenzie; Dieter Mesotten; Marcus J Schultz; Mitchell G Scott; Robbert Slingerland; Greet Van den Berghe; Tom Van Herpe
Journal:  Crit Care       Date:  2013-06-14       Impact factor: 9.097

9.  The effect of diabetes mellitus on the association between measures of glycaemic control and ICU mortality: a retrospective cohort study.

Authors:  Marjolein K Sechterberger; Robert J Bosman; Heleen M Oudemans-van Straaten; Sarah E Siegelaar; Jeroen Hermanides; Joost B L Hoekstra; J Hans De Vries
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10.  Diabetic status and the relation of the three domains of glycemic control to mortality in critically ill patients: an international multicenter cohort study.

Authors:  James S Krinsley; Moritoki Egi; Alex Kiss; Amin N Devendra; Philipp Schuetz; Paula M Maurer; Marcus J Schultz; Roosmarijn T M van Hooijdonk; Morita Kiyoshi; Iain M J Mackenzie; Djillali Annane; Peter Stow; Stanley A Nasraway; Sharon Holewinski; Ulrike Holzinger; Jean-Charles Preiser; Jean-Louis Vincent; Rinaldo Bellomo
Journal:  Crit Care       Date:  2013-03-01       Impact factor: 9.097

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Authors:  Jeffrey I Joseph; Marc C Torjman; Paul J Strasma
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3.  Usability study of a new tool for nutritional and glycemic management in adult intensive care: Glucosafe 2.

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4.  Glucose control in critical care.

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5.  Hypoglycemia and Risk Factors for Death in 13 Years of Pediatric Admissions in Mozambique.

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Review 6.  The Clinical Benefits and Accuracy of Continuous Glucose Monitoring Systems in Critically Ill Patients-A Systematic Scoping Review.

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7.  Independent Association of Glucose Variability With Hospital Mortality in Adult Intensive Care Patients: Results From the Australia and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation Binational Registry.

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8.  Association between glycemic variability and mortality: How robust is the evidence?

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9.  Systemic glucose variability predicts cerebral metabolic distress and mortality after subarachnoid hemorrhage: a retrospective observational study.

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10.  Continuous Glucose Monitoring in Resource-Constrained Settings for Hypoglycaemia Detection: Looking at the Problem from the Other Side of the Coin.

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