Artigo Revisado por pares

What Is a NICE-SUGAR for Patients in the Intensive Care Unit?

2009; Elsevier BV; Volume: 84; Issue: 5 Linguagem: Inglês

10.4065/84.5.400

ISSN

1942-5546

Autores

Rinaldo Bellomo, Moritoki Egi,

Tópico(s)

Sepsis Diagnosis and Treatment

Resumo

The great tragedy of Science—the slaying of a beautiful hypothesis by an ugly factThomas Huxley, “Biogenesis and Abiogenesis” A little more than 3 years ago, the editor-in-chief of Mayo Clinic Proceedings invited us to comment on the issue of glycemic control in critically ill patients.1Bellomo R Egi M Glycemic control in the intensive care unit: why we should wait for NICE-SUGAR [editorial].Mayo Clin Proc. 2005; 80: 1546-1548Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar The invitation stemmed from concerns related to the widespread adoption of intensive insulin therapy (IIT) after the publication of a seminal single-center trial (from Leuven, Belgium) in The New England Journal of Medicine.2van den Berghe G Wouters P Weekers F et al.Intensive insulin therapy in critically ill patients.N Engl J Med. 2001; 345: 1359-1367Crossref PubMed Scopus (8186) Google Scholar The trial concluded that “intensive insulin therapy to maintain blood glucose at or below 110 mg/dL reduces morbidity and mortality among critically ill patients in the surgical intensive care unit.” In response to that article, hundreds, perhaps thousands, of intensive care units (ICUs) worldwide3Wittenberg MD Gattas DJ Ryan A Totaro R Introduction of intensive glycaemic control into a neurosurgical intensive care unit: a retrospective cohort study.Crit Care Resusc. 2008; 10: 203-208PubMed Google Scholar, 4Mitchell I Knight E Gissane J Australian and New Zealand Intensive Care Society Clinical Trials Group et al.A phase II randomised controlled trial of intensive insulin therapy in general intensive care patients.Crit Care Resusc. 2006; 8: 289-293PubMed Google Scholar, 5Krinsley JS Effect of an intensive glucose management protocol on the mortality of critically ill adult patients.Mayo Clin Proc. 2004; 79: 992-1000Abstract Full Text Full Text PDF PubMed Scopus (1018) Google Scholar, 6Dan A Jacques TC O'Leary MJ Enteral nutrition versus glucose-based or lipid-based parenteral nutrition and tight glycaemic control in critically ill patients.Crit Care Resusc. 2006; 8: 283-288PubMed Google Scholar, 7Orford NR Intensive insulin therapy in septic shock.Crit Care Resusc. 2006; 8: 230-234PubMed Google Scholar, 8Shaw GM Chase JG Wong J et al.Rethinking glycaemic control in critical illness—from concept to clinical practice change.Crit Care Resusc. 2006; 8: 90-99PubMed Google Scholar, 9Lazar HL Chipkin SR Fitzgerald CA Bao Y Cabral H Apstein CS Tight glycemic control in diabetic coronary artery bypass graft patients improves perioperative outcomes and decreases recurrent ischemic events.Circulation. 2004 Mar 30; 109 (Epub 2004 Mar 8.): 1497-1502Crossref PubMed Scopus (617) Google Scholar, 10Orford N Stow P Green D Corke C Safety and feasibility of an insulin adjustment protocol to maintain blood glucose concentrations within a narrow range in critically ill patients in an Australian level III adult intensive care unit.Crit Care Resusc. 2004; 6: 92-98PubMed Google Scholar, 11Price GC Stevenson K Walsh TS Evaluation of a continuous glucose monitor in an unselected general intensive care population.Crit Care Resusc. 2008; 10: 209-216PubMed Google Scholar, 12Bilotta F Caramia R Cernak I et al.Intensive insulin therapy after severe traumatic brain injury: a randomized clinical trial.Neurocrit Care. 2008; 9: 159-166Crossref PubMed Scopus (154) Google Scholar began trying to implement IIT. Furthermore, this approach to glucose control was widely promoted by the Institute for Healthcare Improvement in its 100,000 Lives Campaign.13Implement effective glucose control: establish a glycemic control policy in your ICU. Institute for Healthcare Improvement (IHI) Web site.http://www.ihi.org/IHI/Topics/CriticalCare/IntensiveCare/Changes/IndividualChanges/EstablishaGlycemicControlPolicyinYourICU.htmGoogle Scholar The “tight glucose control express” seemed unstoppable. In the midst of such unfettered enthusiasm, we emphasized caution.1Bellomo R Egi M Glycemic control in the intensive care unit: why we should wait for NICE-SUGAR [editorial].Mayo Clin Proc. 2005; 80: 1546-1548Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar Perhaps because of our Australian and Japanese perspectives, we were able to view these developments with a degree of geographical and cultural distance and point out that the seminal study of IIT had a number of serious limitations.2van den Berghe G Wouters P Weekers F et al.Intensive insulin therapy in critically ill patients.N Engl J Med. 2001; 345: 1359-1367Crossref PubMed Scopus (8186) Google Scholar First, it was not blinded, raising the possibility of bias. Second, most patients were recruited after cardiac surgery, raising concerns about the wider applicability of IIT to other populations.14Egi M Bellomo R Stachowski E et al.Intensive insulin therapy in postoperative intensive care unit patients: a decision analysis.Am J Respir Crit Care Med. 2006 Feb 15; 173 (Epub 2005 Oct 20.): 407-413Crossref PubMed Scopus (54) Google Scholar Third, patients received intravenous glucose on arrival to the ICU at a dosage of 200 to 300 g/d (equivalent of 2 to 3 L of 10% glucose per day), an unusual practice.4Mitchell I Knight E Gissane J Australian and New Zealand Intensive Care Society Clinical Trials Group et al.A phase II randomised controlled trial of intensive insulin therapy in general intensive care patients.Crit Care Resusc. 2006; 8: 289-293PubMed Google Scholar Fourth, parenteral nutrition (PN), enteral feeding, or combined feeding was provided to all patients within 24 hours of ICU admission, also an unusual practice. Fifth, the mortality of patients who had undergone cardiac surgery in the control group was twice the national average for Australia, raising concerns about whether the control group was representative. Sixth, the unadjusted relative reduction in mortality was 42%, an effect exceeding that of any other interventional trial in critically ill or diabetic patients, stretching the biological plausibility of the findings. At that time, we chose not to highlight even more sources of concern, such as the intrinsic limitations of single-center studies,15Bagshaw SM Bellomo R The need to reform our assessment of evidence from clinical trials: a commentary.Philos Ethics Humanit Med. 2008 Sep 30; 3: 23Crossref PubMed Scopus (29) Google Scholar which make them unsuitable for level I evidence; the increased risk of hypoglycemia with IIT2van den Berghe G Wouters P Weekers F et al.Intensive insulin therapy in critically ill patients.N Engl J Med. 2001; 345: 1359-1367Crossref PubMed Scopus (8186) Google Scholar; the potential medical Hawthorne effect of a protagonist investigator involved in the care of trial patients; and the nursing Hawthorne effect15Bagshaw SM Bellomo R The need to reform our assessment of evidence from clinical trials: a commentary.Philos Ethics Humanit Med. 2008 Sep 30; 3: 23Crossref PubMed Scopus (29) Google Scholar associated with the extra attention provided to a patient assigned to IIT because of more frequent measurements of blood glucose. Additionally, we chose not to discuss the reverse nursing Hawthorne effect that, in the 1-nurse-to-2-patients Leuven ICU model of care, would occur when the nurse had to leave the bedside of a control patient to measure glucose in the nearby patient receiving IIT. Furthermore, we did not mention that, in an unblinded single-center study, the investigator is, de facto, performing a daily interim analysis for which no statistical correction is later applied or that independent data verification cannot occur. Finally, we did not highlight that, in single-center studies, unless multiple permuted blocks of randomization are used, the investigator has a better than even chance of guessing treatment allocation for the next patient. We thought that pointing out these methodological concerns would be seen as churlish in the midst of such therapeutic promise and widespread application.14Egi M Bellomo R Stachowski E et al.Intensive insulin therapy in postoperative intensive care unit patients: a decision analysis.Am J Respir Crit Care Med. 2006 Feb 15; 173 (Epub 2005 Oct 20.): 407-413Crossref PubMed Scopus (54) Google Scholar, 10Orford N Stow P Green D Corke C Safety and feasibility of an insulin adjustment protocol to maintain blood glucose concentrations within a narrow range in critically ill patients in an Australian level III adult intensive care unit.Crit Care Resusc. 2004; 6: 92-98PubMed Google Scholar, 16Shaw GM Chase JG Wong J et al.Rethinking glycaemic control in critical illness—from concept to clinical practice change.Crit Care Resusc. 2006; 8: 90-99PubMed Google Scholar Accordingly, we stuck to one simple message: We will wait for the results of the NICE-SUGAR (Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation) trial.1Bellomo R Egi M Glycemic control in the intensive care unit: why we should wait for NICE-SUGAR [editorial].Mayo Clin Proc. 2005; 80: 1546-1548Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar Since then, the IIT tale has been characterized by a broad inability to reproduce the mortality benefits of the first trial. For example, in a subsequent trial of patients in a medical ICU in Leuven, IIT did not affect mortality.17van den Berghe G Wilmer A Milants I et al.Intensive insulin therapy in mixed medical/surgical intensive care units: benefit versus harm.Diabetes. 2006; 55: 3151-3159Crossref PubMed Scopus (479) Google Scholar, 18van den Berghe G Wilmer A Hermans G et al.Intensive insulin therapy in the medical ICU.N Engl J Med. 2006; 354: 449-461Crossref PubMed Scopus (2952) Google Scholar In a large Belgian-French trial, no benefit was seen, and randomization was stopped because of concerns related to the high incidence of hypoglycemia.19Glucontrol study: comparing the effects of two glucose control regimens by insulin in intensive care unit patients. National Institutes of Health ClinicalTrials.gov Web site. http://clinicaltrials.gov/ct/gui/show/NCT00107601. Updated June 26, 2008. Accessed April 1, 2009.Google Scholar The VISEP (Efficacy of Volume Substitution and Insulin Therapy in Severe Sepsis) study conducted in Germany met with the same fate.20Brunkhorst FM Engel C Bloos F German Competence Network Sepsis (SepNet) et al.Intensive insulin therapy and pentastarch resuscitation in severe sepsis.N Engl J Med. 2008; 358: 125-139Crossref PubMed Scopus (2348) Google Scholar A more recent study in Saudi Arabia confirmed this lack of benefit.21Arabi YM Dabbagh OC Tamim HM et al.Intensive versus conventional insulin therapy: a randomized controlled trial in medical and surgical critically ill patients.Crit Care Med. 2008; 36: 3190-3197Crossref PubMed Scopus (367) Google Scholar A recently published meta-analysis of all studies of IIT reached the inevitable conclusion that IIT does not decrease mortality but does increase the risk of hypoglycemia.22Wiener RS Wiener DC Larson RJ Benefits and risks of tight glucose control in critically ill adults: a meta-analysis.JAMA. 2008; 300: 933-944Crossref PubMed Scopus (869) Google Scholar Predictably, debate has become fierce.23van den Berghe G Wilmer A Bouillon R Insulin and pentastarch for severe sepsis [letter].N Engl J Med. 2008; 358: 2073PubMed Google Scholar In the meantime, we and others14Egi M Bellomo R Stachowski E et al.Intensive insulin therapy in postoperative intensive care unit patients: a decision analysis.Am J Respir Crit Care Med. 2006 Feb 15; 173 (Epub 2005 Oct 20.): 407-413Crossref PubMed Scopus (54) Google Scholar, 24Oddo M Schmidt JM Carrera E et al.Impact of tight glycemic control on cerebral glucose metabolism after severe brain injury: a microdialysis study.Crit Care Med. 2008; 36: 3233-3238Crossref PubMed Scopus (117) Google Scholar, 25Egi 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: 244-252Crossref PubMed Scopus (666) Google Scholar, 26Egi M Bellomo R Stachowski E French CJ Hart G Stow P Circadian rhythm of blood glucose values in critically ill patients.Crit Care Med. 2007; 35: 416-421Crossref PubMed Scopus (42) Google Scholar, 27Egi M Bellomo R Stachowski E et al.Blood glucose concentration and outcome of critical illness: the impact of diabetes.Crit Care Med. 2008; 36: 2249-2255Crossref PubMed Scopus (272) Google Scholar continued to try to understand the association between glycemia and outcome and continued to raise concerns about IIT while asking clinicians to wait for the results of the NICE-SUGAR trial. The reasons for our pleas were obvious. NICE-SUGAR was designed to be a pivotal multicenter, multinational trial involving 42 hospitals in Australia, New Zealand, Canada, and the United States (US involvement was limited to a single center, Mayo Clinic). It was designed and conducted to the highest standards of trial medicine, with a reproducible Web-based protocol, the collection of almost 1 million glucose and insulin dose measurements, and patient follow-up to 90 days after randomization. With 6100 patients, the second largest randomized study sample (to our knowledge) in the history of critical care medicine, it would clearly provide level I evidence to guide clinicians in their decision making at the bedside. The results of the NICE-SUGAR trial have now been published,28NICE-SUGAR Study Investigators Intensive versus conventional glucose control in critically ill patients.N Engl J Med. 2009 Mar 26; 360 (Epub 2009 Mar 24.): 1283-1297Crossref PubMed Scopus (3749) Google Scholar and those clinicians who may have chosen to heed our advice 3 years ago are likely to feel gratified. The Mayo Clinic investigators are similarly likely to feel proud for contributing to this endeavor, instead of implementing IIT as many clamored for at the time. The NICE-SUGAR investigators found that, compared with conventional therapy (maintaining the glucose concentration at <180 mg/dL [to convert to mmol/L, multiply by 0.0555]), IIT was associated with an increased mortality 90 days after randomization. This occurred despite a much lower rate of hypoglycemia in the IIT group than reported in any previous studies of combined surgical and medical patients and with mean blood glucose levels clearly different in both groups, similar to that reported in the first IIT study. This detrimental IIT mortality effect in the NICE-SUGAR trial occurred in all subgroups, including surgical patients. As such, when considering a diverse population of ICU patients, the IIT express has surely come to its last stop. Yet, several questions will be asked: Why did the NICE-SUGAR trial show such a different outcome from the first Leuven study? Why and how did IIT cause increased mortality? How should we treat hyperglycemia in patients in the ICU? These and other questions are added to the list highlighted in the recent editorial in The New England Journal of Medicine that accompanied the NICE-SUGAR report.29Inzucchi SE Siegel MD Glucose control in the ICU — how tight is too tight [editorial]?.N Engl J Med. 2009 mar 26; 360 (Epub 2009 Mar 24.): 1346-1349Crossref PubMed Scopus (123) Google Scholar We think the first question is probably best asked in the reverse direction, given that the Leuven study of surgical patients has thus far been the only study to show a benefit for IIT in adults. Some will suggest that the use of PN in the Leuven study was responsible for the difference in outcome. Put another way, IIT “works,” but only when patients receive most of their calories as PN, not when patients receive enteral nutrition. Others will suggest that some unique features of the Leuven protocol account for the discrepancy. We favor a simpler explanation as out-lined previously: single-center studies are not robust representations of biological and/or clinical truth. The increase in mortality seen in the NICE-SUGAR trial most likely reflects greater statistical power and longer patient follow-up: the number of patients in the trial was almost 5 times more than that in any previous trial and patients were followed up for 90 days. Other trials may have found a similar increase in mortality had they been of similar size and with longer patient follow-up. The results of a recently published meta-analysis22Wiener RS Wiener DC Larson RJ Benefits and risks of tight glucose control in critically ill adults: a meta-analysis.JAMA. 2008; 300: 933-944Crossref PubMed Scopus (869) Google Scholar confirm that there is no benefit with IIT, but there is an increased risk of hypoglycemia. The mechanisms responsible for the increased mortality can be only a matter of speculation. Yet some of the trial findings (increased corticosteroid use and increased cardiovascular mortality with IIT) suggest a specific effect on blood pressure and circulation. Many experimental studies have demonstrated that both insulin and hypoglycemia can induce hypotension, vasodilatation, nitric oxide release, sympathetic system response exhaustion, and decreased ability to respond to repeated stress.30Keller-Wood ME Shinsako J Dallman MF Inhibition of the adrenocorticotropin and corticosteroid responses to hypoglycemia after prior stress.Endocrinology. 1983; 113: 491-496Crossref PubMed Scopus (50) Google Scholar, 31Herlein JA Morgan DA Phillips BG Haynes WG Sivitz WI Antecedent hypoglycemia, catecholamine depletion, and subsequent sympathetic neural responses.Endocrinology. 2006 Jun; 147 (Epub 2006 Mar 9.): 2781-2788Crossref PubMed Scopus (32) Google Scholar, 32Diéguez G Fernández N García JL García-Villalón AL Monge L Gomez B Role of nitric oxide in the effects of hypoglycemia on the cerebral circulation in awake goats.Eur J Pharmacol. 1997; 330: 185-193Crossref PubMed Scopus (21) Google Scholar, 33Dagogo-Jack SE Craft S Cryer PE Hypoglycemia-associated autonomic failure in insulin dependent diabetes mellitus: recent antecedent hypoglycemia reduces autonomic responses to, symptoms of, and defense against subsequent hypoglycemia.J Clin Invest. 1993; 91: 819-828Crossref PubMed Scopus (426) Google Scholar, 34Mitrakou A Fanelli C Veneman T et al.Reversibility of unawareness of hypoglycemia in patients with insulinomas.N Engl J Med. 1993; 329: 834-839Crossref PubMed Scopus (184) Google Scholar In addition, it has long been known that recent hypoglycemia can reduce autonomic responses and defenses against subsequent hypoglycemia.33Dagogo-Jack SE Craft S Cryer PE Hypoglycemia-associated autonomic failure in insulin dependent diabetes mellitus: recent antecedent hypoglycemia reduces autonomic responses to, symptoms of, and defense against subsequent hypoglycemia.J Clin Invest. 1993; 91: 819-828Crossref PubMed Scopus (426) Google Scholar, 34Mitrakou A Fanelli C Veneman T et al.Reversibility of unawareness of hypoglycemia in patients with insulinomas.N Engl J Med. 1993; 329: 834-839Crossref PubMed Scopus (184) Google Scholar These mechanisms may have played a major role in the differential outcomes in the NICE-SUGAR trial. When considering the findings of NICE-SUGAR, it is also important to appreciate that it is unlikely that glycemic control is a “one size fits all” story. Subgroup analysis from the NICE-SUGAR trial already suggests heterogeneity in the response to glycemic control for patients with an operative admission to an ICU, in patients with trauma, and in patients receiving corticosteroids. Furthermore, diabetic patients27Egi M Bellomo R Stachowski E et al.Blood glucose concentration and outcome of critical illness: the impact of diabetes.Crit Care Med. 2008; 36: 2249-2255Crossref PubMed Scopus (272) Google Scholar and patients with neurologic injury may represent specific subgroups in whom optimal glycemic control needs further definition.35Oddo M Schmidt JM Carrera E et al.Impact of tight glycemic control on cerebral glucose metabolism after severe brain injury: a microdialysis study.Crit Care Med. 2008; 36: 3233-3238Crossref PubMed Scopus (297) Google Scholar, 36Lanier WL Pasternak JJ Refining perioperative glucose management in patients experiencing, or at risk for, ischemic brain injury [editorial].Anesthesiology. 2009; 110: 456-458Crossref PubMed Scopus (8) Google Scholar With the NICE-SUGAR trial demonstrating that glycemic control affects survival, these concerns may be of more than pure academic interest. Despite these caveats, we think it is important to emphasize that the findings of NICE-SUGAR do not justify neglecting glycemic control. Instead, we think that, whatever the mechanisms behind the findings of NICE-SUGAR, there is now a new and more moderate standard of care for glycemic management in the ICU: do not treat hyperglycemia unless the glucose level increases higher than 180 mg/dL; when you do treat hyperglycemia, aim for a target blood glucose concentration between 144 and 180 mg/dL. Until a study can provide level I evidence that a better approach exists, this should remain the standard of care. Such a standard of care also implies that, for example, in patients in the ICU, a glucose level of 243 mg/dL is just as undesirable as a glucose level of 80 mg/dL. Finally, and this is vital, no matter what clinicians think might explain the findings of NICE-SUGAR, they should remember to be wary of the next single-center study that promises a simple solution for a complex problem. Single-center studies simply do not have the ability or resources to provide the type of scientifically rigorous analysis delivered by large multicenter, randomized controlled trials.37Finfer S Bellomo R Why publish statistical analysis plans?.Crit Care Resusc. 2009; 11: 5-6PubMed Google Scholar, 38Finfer S Cass A Gallagher M Lee J Su S Bellomo R RENAL Study Investigators The RENAL (Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy) study: statistical analysis plan.Crit Care Resusc. 2009; 11: 58-65PubMed Google Scholar, 39Finfer S Heritier S NICE Study Management Committee and SUGAR Study Executive Committee The NICE-SUGAR (Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation) study: statistical analysis plan.Crit Care Resusc. 2009; 11: 46-57PubMed Google Scholar Waiting for level I evidence to emerge before adopting a risky therapy is and will remain the best policy in clinical medicine for a long time.

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