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Journal of Diabetes Science and Technology logoLink to Journal of Diabetes Science and Technology
. 2009 Nov;3(6):1330–1341. doi: 10.1177/193229680900300613

Glycemic Control in the Medical Intensive Care Unit

Michelle A Kovalaske 1, Gunjan Y Gandhi 1
PMCID: PMC2787033  PMID: 20144387

Abstract

Hyperglycemia in the critically ill is a well-known phenomenon, even in those without known diabetes. The stress response is due to a complex interplay between counter-regulatory hormones, cytokines, and changes in insulin sensitivity. Illness/infection, overfeeding, medications (e.g., corticosteroids), insufficient insulin, and/or volume depletion can be additional contributors. Acute hyperglycemia can adversely affect fluid balance (through glycosuria and dehydration), immune and endothelial function, inflammation, and outcome. While there are several insulin infusion protocols that are able to safely and effectively treat hyperglycemia, the bulk of accumulated evidence does not support a causal relationship between acute hyperglycemia and adverse outcomes in the medical intensive care unit. Meta-analysis of randomized controlled trials suggests there is no benefit to tightening glucose control to normal levels compared to a reasonable and achievable goal of 140 to 180 mg/dl. There is a significantly increased risk of hypoglycemia. Although there is some evidence that patients without known diabetes have worse outcomes than those with known diabetes, more recent evidence is conflicting. Glycemic control in critically ill patients should not be neglected, as studies have not tested tight versus no/poor control, but tight versus good control. A moderate approach to managing critical illness hyperglycemia seems most prudent at this juncture. Future research should ascertain whether there are certain subgroups of patients that would benefit from tighter glycemic goals. It also remains to be seen if tight glucose control is beneficial once hypoglycemia is minimized with technological advances such as continuous glucose monitoring systems.

Keywords: critically ill, glycemic control

Introduction

Before 2001, hospital hyperglycemia was often neglected. This changed dramatically when tight glycemic control came to the forefront of hospital medicine after a landmark randomized controlled trial (RCT) (which has been cited over 2200 times) reported a 42% reduction in mortality in surgical intensive care unit (ICU) patients when euglycemia was achieved (80–110 mg/dl).1 Since then, massive efforts have been made worldwide to achieve these goals, with intensive insulin therapy (IIT) becoming a benchmark in critically ill patients. Clinicians realized there are significant challenges to achieving such ambitious goals in practice, namely, multifold increased risk of hypoglycemia, increased utilization of resources, significant revamping of infrastructure to implement glycemic management protocols, additional personnel training, and need for intense coordination among varied involved specialties. While laudable efforts have been undertaken, from tertiary care academic centers to small community hospitals, for seamless implementation of insulin protocols, subsequent clinical studies in varied ICU settings could not replicate the amazing benefits. The much-awaited Normoglycaemia in Intensive Care Evaluation Survival Using Glucose Algorithm Regulation (NICE-SUGAR) trial results provide definitive and not entirely surprising evidence of what has thus been suspected: there is no benefit of tightening glucose control to normal levels compared to a reasonable and achievable goal of 140 to 180 mg/dl. Professional organizations such as the American Association of Clinical Endocrinologists and the American Diabetes Association (ADA) have come full circle on this issue, now recommending a more moderate approach to treating hyperglycemia in the critically ill. In this article focused on hyperglycemia in the medical ICU, we discuss the pathophysiology and etiology of stress hyperglycemia, review the current evidence linking hyperglycemia and outcomes, and attempt to delineate the contribution of diabetes to outcomes.

Epidemiology

Hyperglycemia in the critically ill is a common phenomenon. Its prevalence is difficult to estimate, because the diagnosis is variably defined. For instance, in one study that attempted to measure the prevalence of hyperglycemia in the medical ICU of a tertiary care medical center, more than 60% of patients had a blood glucose greater than 110 mg/dl after ICU admission, 38% greater than 150 mg/dl, and 23% greater than 200 mg/dl.2 Only one in five of these patients had a history of known diabetes. This estimate of prevalence of diabetes is consistent with patients who undergo cardiac surgery.3 Thus the vast majority of patients in the ICU have stress hyperglycemia, which refers to transient hyperglycemia during illness and is usually restricted to patients without previous evidence of diabetes.4 One proposed definition in this group of patients is the ADA criteria of fasting plasma glucose >125 mg/dl or random plasma glucose >200 mg/dl. In patients with preexisting diabetes, stress hyperglycemia manifests as a deterioration of pre-illness glycemic control.

Pathophysiology of Hyperglycemia

The homeostatic mechanisms that maintain euglycemia in the postabsorptive state and limit the postprandial glucose increase in subjects without diabetes are impaired in patients with diabetes. Patients with diabetes have decreased insulin secretion and/or action resulting in preprandial and postprandial hyperglycemia due to increased hepatic glucose production and decreased glucose uptake. Severe stress can cause hyperglycemia in patients without a prior diagnosis of diabetes. This degree of stress (as during a serious illness) likely has a different pathophysiologic mechanism than type 1 or type 2 diabetes. The stress response is a complex interplay of counter-regulatory hormones, cytokines, and changes in insulin sensitivity (Figure 1). Glucagon, epinephrine, cortisol, growth hormone, and norepinephrine increase gluconeogenesis and glycogenolysis, thereby increasing glucose production.4 Tumor necrosis factor-alpha may also contribute by increasing gluconeogenesis and plasma glucagon.5 Insulin production is also increased, but sepsis and critical illness impair the insulin signaling pathway, causing decreased glucose transporter (Glut)-4 mediated glucose uptake, which in turn leads to insulin resistance.6 Noninsulin-mediated uptake occurs by cytokine up-regulation of Glut-1,7,8 which causes increased oxidative metabolism and decreased nonoxidative metabolism. Stress causes an even greater derangement in glucose metabolism in patients with diabetes, because they cannot increase insulin secretion as a compensatory response. The exaggerated glucose response observed following stress dose counter-regulatory hormone infusion in otherwise healthy subjects with diabetes compared with subjects without diabetes helps explain why glucose control frequently deteriorates in ill diabetes patients.9

Figure 1.

Figure 1.

Etiology of acute hyperglycemia and adverse tissue effects. Information modified from the study of Dungan et al.4

Hyperglycemia and Hypoglycemia: Common Causes

Clinicians should be familiar with the causes of exogenous hyperglycemia and hypoglycemia to minimize events or recurrence.10,11 Illness/infection, overfeeding (nutrition support, dextrose-containing crystalloid, dextrose absorption during peritoneal dialysis, and medications formulated in fat emulsion, such as propofol), medications (e.g., corticosteroids, sympathomimetic infusions, or immunosuppressants), insufficient insulin, and/or volume depletion can cause hyperglycemia. Since unexplained hyperglycemia can be a harbinger of infection, central catheters should be considered as a source of infection. Even bed rest alone may contribute by causing reduced insulin sensitivity of skeletal muscle.12 Causes of hypoglycemia include excess insulin dose, unanticipated discontinuation of nutrition support in insulin-treated patients, resolution of severe stress, discontinuation or decreased doses of corticosteroids or sympathomimetic agents, renal dysfunction, severe hepatitis, sepsis, and diabetic gastroparesis.

Adverse Effects of Acute Hyperglycemia

During short-term hospitalization, hyperglycemia can adversely affect fluid balance (through glycosuria and dehydration), immune function,13,14 inflammation, and outcome. In vitro studies report that hyperglycemia is associated with abnormalities in white cell function, including granulocyte adhesion, chemotaxis, phagocytosis, respiratory burst, superoxide formation, and intracellular killing. Hyperglycemia can also impair complement activity. Glucose, through complement glycation, has the potential to compete with microorganisms for the attachment of complement, thereby inhibiting opsonization.1517 These abnormalities improve with glucose control. Acute hyperglycemia is also known to cause endothelial cell dysfunction. It is thought that the stressful environment decreases the ability of the noninsulin-mediated Glut-1 transporter to down regulate, which is the normal physiologic protective mechanism to hyperglycemia. This causes an uncontrolled influx of high levels of glucose into the cell, leading to a vicious cycle of up-regulation of more Glut-1 transporters.18 Hyperglycemia within the cell increases production of reactive oxygen species, which then creates a cascade of cellular effects, increasing polyol pathway influx, advanced glycation end products, NFKB, and hexosamine pathway.19 These downstream effects lead to blood-flowabnormalities, increased vascular permeability, angiogenesis, capillary occlusion, and pro-inflammatory gene expression.20Most of this work has been done to describe the mechanisms behind chronic complications of diabetes, but in critical illness, there is evidence that whole-body glucose uptake is increased, specifically by tissues that are not insulin dependent.21 Increased catabolism, lipotoxicity, sympathetic nervous system activation, and extracellular matrix deposition also contribute to tissue effects of hyperglycemia.4

Outcomes with Intensive Insulin Therapy in the Medical Intensive Care Unit

There have been six RCTs for patients in a dedicated medical ICU attempting to evaluate IIT (Table 1). Two evaluated patients with acute cerebrovascular accident.22,23 Oksanen and colleagues studied patients who had ventricular fibrillation outside the hospital with subsequent cardiopulmonary resuscitation and hypothermia treatment.24 The other studies encompassed many nonsurgical critical medical illnesses.2527 Of the total 1460 patients, 1200 were contributed by the largest trial done in Leuven, Belgium.25,26 The percentage of diabetes patients involved in each study varied greatly and ranged from 11% to 89%. Most studies occurred at a single site and were unblinded RCTs with the exception of one study,22 in which acute intervention was blinded to patients and families. The majority of these studies were not blinded, because the treating providers needed to know the goal blood glucose to make appropriate insulin adjustments. Also, the most common primary endpoint was mortality, a solid endpoint less subject to bias. The goal for intensively treated patients ranged from 72 to 144 mg/dl, a fairly narrow range, but the goals for the control group varied greatly. All patients (both treatment and control groups) received insulin therapy via intravenous infusion according to a nurse-driven protocol, with the exception of one study in which the control group used subcutaneous insulin.22

Table 1.

Summary of Randomized Controlled Trials in Dedicated Medical Intensive Care Units

Bland et al.27 Van den Berghe et al.50 Walters et al.23 Farah et al.25 Oksanen et al.24 Bruno et al.22
Study design Unblinded, single center Unblinded, single center Unblinded, single center Unblinded, single center Unblinded 2 ICUs Single/double blinded, multicenter
Number of patients (M/F) 10 (7/3) 1200 (738/462) 25 (10/15) 89 (46/43) 90 (71/19) 46 (26/20)
Mean age, years 57 63 75 73 64 58
City, country California, U.S.A. Leuven, Belgium Glasgow, UK Nahariya, Israel Helsinki, Finland Multicenter, U.S.A.
Number with diabetes (%) 4 (40%) 203 (16.9%) 13 (52%) 53 (59%) a 10 (11%) 42 (91%)
Illness Had to require intubation Medical ICU Acute cerebrovascular accident Medical ICU Ventricular fibrillation event out of hospital/revived/hypothermic protocol Acute cerebrovascular accident
Patient-to-nurse ratio 2:1 or 1:1 1:2.5 Not reported Not reported 1:1, 2:1 Not reported
Blood glucose sampling Capillary or arterial Capillary or arterial Capillary Not reported Not reported Capillary
Frequency of testing Every hour until 4 in target then every 2 h Every 4 h unless nurse felt need for more frequent Every 2 h for 48 h Every 4 h Every 30 min until target, then every 4 h at least for 48 hours Every hour, intensive; every 2 h, control
Type of insulin Intravenous insulin Intravenous insulin Intravenous insulin Intravenous insulin Intravenous insulin Intensive, intravenous insulin + subcutaneous saline four times per day. Control, intravenous saline + subcutaneous insulin four times per day. Both, subcutaneous insulin once eating
Feeding If no total parenteral nutrition or tube feeding, received D5 at 50 ml/h Enteral feeding 22–30 kcal/kg/24 h as soon as stable Standard hospital diet, no tube feeding Not described Not described Eating after 24 h
Target blood glucose, intensive (mg/dl) 80–110 80–110 90–144 110–140 72–108 90–130
Target blood glucose, control (mg/dl) 180–200 180–200 <270 140–200 108–144 <200
Mean blood glucose, intense (mg/dl) 105 111/108 (>3 days) Significant decrease in mean area under glucose time curve: 324 h·mmol/liter 142 90 133
Mean blood glucose, control (mg/dl) 177 153/156 (>3 days) 385 h·mmol/liter 174 115 190
APACHE II Not listed −23 Not listed −22 −25 Not listed
Primary endpoint 28-day mortality In hospital mortality 28-day mortality 28-day mortality 30-day mortality 90-day mortality
Mortality, intensive 1/5 (not powered) 182 (30%) 1/13 (7.6%) 22 (53.6%) 33% 2 (7%)
Mortality, control 2/5 (not powered) 178 (29.9%) 0/12 (0%) 22 (45%) 35% (p = .846) 0
Mean LOS, intensive (days) 32 13 Not reported 7 Not reported Not reported
Mean LOS, control (days) 32 13 Not reported 7 Not reported Not reported
Hypoglycemic events <40 mg/dl, intensive 2 events (0.1%) 111 (18.7%) / 97 (25.1%) 0 0.56 events/patient 0 Defined as <60 mg/dl
Hypoglycemic events <40 mg/dl, control 2 events (0.1%) 19 (3.1%) / 15 (3.9%) 0 0.48 events/patient 0 Defined as <60 mg/dl
Hypoglycemic events 40–60 mg/dl, intensive (2.1%) Not assessed 0 Hypoglycemia not defined (18%) 11 (35%), all events <60 mg/dl
Hypoglycemic events 40–60 mg/dl, control (0.2%) Not assessed 0 Hypoglycemia not defined 2% 0, all events <60mg/dl
a

Significantly more diabetes patients in control group.

The results of each study showed a statistically significant difference in blood glucose measurements between the intensive and control groups. However, none of the studies—including the largest study—showed a significant reduction in mortality with IIT, except in a subgroup of patients who stayed in the ICU for 3 or more days. In this subgroup, the intensively treated group had a significant improvement in survival in the ICU and in the hospital compared to the conventionally treated group (31% versus 38%, p = .05, and 43% versus 52%, p = .02, respectively).26 Morbidity was significantly reduced by the prevention of newly acquired kidney injury, accelerated weaning from mechanical ventilation, and accelerated discharge from the ICU and hospital. In a published meta-analysis,28 pooled data from these six RCTs revealed a risk ratio of 1.00 (95% confidence interval [CI], 0.78 to 1.28), which suggests that IIT in the medical ICU does not reduce mortality. Hypoglycemia is obviously the major adverse event and was increased in all studies. There is one other important aspect of patient care that should be mentioned: nutrition. How these patients were fed certainly could contribute to hyperglycemia, and whether total parenteral nutrition, tube feedings, or oral intake was allowed is yet another variable to consider when comparing results of these trials. The study by Van den Berghe and associates is really the only one of the six that clearly delineates nutrition.26 Each of these patients received enteral feeding of 22–30 kcal/kg/24 h as soon as they were stable. Several limitations of the trial performed at a single center in Belgium—including the unusual practice of early initiation of nutrition resulting in significant hyperglycemia in the control group, liberal definition of hypoglycemia (less than 40 mg/dl rather than less than 60 mg/dl), and lack of external validity among others—have been reported.2

Outcomes with Intensive Insulin Therapy in Mixed Medical–Surgical Intensive Care Units

A summary of seven of the major RCTs in mixed medical–surgical ICUs is listed in Table 2.2935 NICE-SUGAR was the largest international study to date on the topic, accounting for more than 67% of the 8965 patients in these seven trials.34 The NICE-SUGAR trial tries to answer the question of whether intensive glucose control (goal 81 to 108 mg/dl) reduces 90-day mortality in critically ill adults compared to conventional treatment (144 to 180 mg/dl). It was conducted in 42 ICUs in North America, Australia, and New Zealand and included 6104 patients; 62% (3791/6029 with available data) were nonsurgical, making it by far the largest RCT to provide data on medical ICU patients. The two treatment groups showed good glycemic separation with a difference of 29 mg/dl in glucose levels (as compared to 42 mg/dl in the Leuven medical ICU study). The results differ from other trials in that there was an increase in the primary endpoint (death at 90 days) with intensive glucose control (28% versus 25% with conventional control: odds ratio [OR] 1.14; 95% CI, 1.02 to 1.28; number needed to harm [NNH] 39). Treatment effect did not differ significantly between operative and medical patients (OR of death in the intensive control group 1.31 and 1.07, respectively). Severe hypoglycemia occurred in more patients in the intensive control group compared to the conventional control group (7% versus 1%; relative risk increase 1272%; 95% CI, 720% to 2200%; NNH 16). Although not shown by available data, unrecognized hypoglycemia may very well be the major culprit for the increased mortality, especially in critically ill patients sedated and on a mechanical ventilator. The relationship between hyperglycemia in the critically ill (the majority not having underlying diabetes) and worse outcomes in most previous observational studies is not causal, but a reflection of the severity of illness. Thus attempting to reverse a normal stress response of shunting energy to critical organs may very well be deleterious. Among the other trials, two focused on severe sepsis.31,35 One of these studies was stopped early, secondary to its high incidence of hypoglycemia.31 There was no significant reduction in mortality in the trials that did assess it as the primary outcome.

Table 2.

Summary of Major Randomized Controlled Trials in Mixed Intensive Care Units

Arabi et al.29 Brunkhorst et al.31a NICE-SUGAR34 Azevedo et al.30 Devos et al.33 Iapichino et al.35 De La Rosa Gdel et al.32
Study design Unblinded single center Unblinded multicenter Unblinded international multicenter Unblinded multicenter Unblinded multicenter Unblinded multicenter Unblinded single center
Number of patients (M/F) 523 (357/132) 488 (322/215) 6030 (4023/2207) 337 1011 (634/377) 72 (47/25) 504 (301/203)
Mean age, years 52.5 64.6 60 Adults 65 62.3 46.6
City, country Riyadh, Saudi Arabia Multicity, Germany International Sao Luiz - MA, Brazil 7 countries Milan, Italy Medellin, Colombia
Medical ICU patients 83% (435/523) 47% 63% (3796/6029) Not defined 41% 63% 49% (246/504)
Number with diabetes (%) 208 (39%) 163 (30%) 1211/6029 (20%) Not reported Not reported 12/72 (17%) 61/504 (12%)
Illness Mixed ICU Severe sepsis Mixed ICU Mixed ICU Mixed ICU Severe sepsis Mixed ICU
Patient-to-nurse ratio 1.2:1 Not reported Not reported Not reported Not reported Not reported Not reported
Blood glucose sampling Arterial/capillary Arterial/capillary Arterial preferred/capillary discouraged Not reported Not reported Not reported Arterial/capillary
Frequency of testing Every hour until stable, then every 2–4 h Every 1–4 h Every hour Every 6 h Not reported Every 4 h Every 1–4 h on insulin; every 4–6 h if no insulin
Type of insulin Intravenous insulin Intravenous insulin, used same protocol as Leuven study Intravenous insulin Intravenous insulin, intense; subcutaneous, control Not reported Intravenous insulin Intravenous insulin
Duration of study intervention Duration of ICU stay Duration of ICU stay Duration of ICU stay or stopped when eating Not reported Not reported Duration of ICU stay Duration of ICU stay
Feeding Enteral or parenteral 40–50% given enteral Enteral/parenteral/glucose Not reported Not reported Enteral/parenteral as soon as possible 25 kcal/kg ideal body weight 95% enteral, 5% enteral and parenteral. If neither, 10% dextrose 5 g/h
Target blood glucose, intensive (mg/dl) 80–110 80–110 81–108 80–120 80–110 80–110 80–110
Target blood glucose, control (mg/dl) 180–200 180–200 144–180 <180 140–180 180–200 180–200
Mean blood glucose, intensive (mg/dl) 115 112 Time weighted 115 134 119 110 120
Mean blood glucose, control (mg/dl) 171, p < .0001 151 Time weighted 144 144, p = .003 147, p < .0001 163, p < .0001 149, p < .001
APACHE–II 23 ∼20 21 Not reported 17 Not reported 16
Primary endpoint ICU mortalityb 28-day mortality Sequential Organ Failure Assessment score 28-day and 90 day mortality Not reported ICU mortality Asymmetric, dimetthylarginine valuesc 28-day mortality
Mortality, intensive ICU (13.5%); hospital, 72 (27.1%); medical patients only, 33/223 (15%) 28 days, 61/247 (25%); 90 days, 98/247(40%) 28 days, 670/3010 (22%); 90 days, 829/3010 (27.5%) ICU (22.6%); >5-day stay (26%) ICU (16.7%) ICU, 8 (22%); 90 days, 13 (36%) ICU, 84/250 (33%) relative risk 1.06; 28 days, 93/254 (37%) relative risk 1.1; hospital 102/254(40%) relative risk 1.05
Mortality, control ICU (17%), p = .3; hospital, 83 (32%), p = .19; medical patients only, 39/212 (18%), p = .50 28 days, 75/289 (26%), p = .74; 90 days, 102/288 (35%), p = .31 28 days, 627/3012 (21%), p = .17; 90 days, 751/3012 (25%), p = .002 ICU, 25%, p = .6; >5-day stay (30%) NSd ICU, 15% NSd ICU, 6 (17%), p = .55; 90 days, 11 (31%), p = .62 ICU, 78/250 (31%); 28 days, 81/250 (32%); hospital, 96/250 (38%)
Mean LOS, intensive (days) ICU, 10 ICU, 16 ICU, 6; hospital, 17 Not reported Not reported 16 ICU, 6
Mean LOS, control (days) ICU, 11, p = .18 ICU, 14, p = .06 ICU, 6; hospital, 17 Not reported Not reported 13, p = .74 ICU, 6
Hypoglycemic events <40 mg/dl (%), intensive 76 (29%) 42/247 (17%) 206/3016 (7%) 27 (16%) (10%) 8 (22%) 21 (8%)
Hypoglycemic events <40 mg/dl, control 8 (3%), p < .0001 12/290 (4%), p < .001 15/3014 (0.5%), p < .001 6 (4%), p < .001 3%, p < .0001 3 (8%), p = .189 2 (2%), p < .001
Hypoglycemic events 40–60 mg/dl (%), intense Not studied Not studied Not studied Hypoglycemia not defined Not studied Not studied 66%
Hypoglycemic events 40–60 mg/dl (%), control Not studied Not studied Not studied Hypoglycemia not defined Not studied Not studied 10%
a

Stopped early (after 488 patients) because of increased incidence of hypoglycemia.

b

Those with APACHE ≤22 and body mass index ≤26.2 showed decreased in mortality with IIT. Those with Glasgow Coma Scale ≤9 noted to have increased mortality with IIT.

c

Product released during physiologic protein turnover, high levels associated with endothelial dysfunction, oxidative injury, and inflammation. Strong predictor of mortality in critically ill patients.

d

NS, not significant.

Outcomes from Meta-Analyses

A meta-analysis by Griesdale and coworkers28 incorporates NICE-SUGAR and the two large Leuven studies among many other smaller studies to attempt to resolve the disparate results and answer the question of whether we are helping or hurting patients with tight glycemic control. The NICE-SUGAR study contributed almost half of the patients in the analysis; they were quite ill, with mortality rates approaching 30%. Over 2200 of the patients included in NICE-SUGAR had undergone surgery, but mostly emergency surgery, unlike the Belgian surgical ICU study. Also, the separation between morning glucose levels was more modest with NICE-SUGAR (27 versus 47 mg/dl). While the surgical ICU RCT by Van den Berghe and colleagues found mortality benefit only in patients treated with insulin infusion for more than 5 days, the median duration of treatment in NICE-SUGAR was 4 days. A RCT conducted by Van den Berghe and associates was large enough to swing the results in the subgroup of surgical ICUs toward a mortality benefit. Whether patients post-elective surgery, especially cardiac surgery, are significantly different (i.e., follow the acute-reperfusion model) and benefit from IIT remains to be seen. However, the outcome of the pooled data for these 13,000 critically ill patients tells us that the truth may lie somewhere in between, and tight glycemic control may not actually have any effect on mortality at all.

Impact of Diabetes on Outcomes

The NICE-SUGAR trial investigators performed a subgroup analysis34 of patients with and without diabetes. In this study, a higher percentage of individuals with diabetes died at 90 days compared to patients without diabetes in both intensively treated and control groups (31.7% versus 26.4% and 27.6% versus 24.2%, respectively). The OR for death for diabetes patients was 1.21 (95% CI, 0.95 to 1.55) and for nondiabetes patients 1.12 (95% CI, 0.99 to 1.28), with a nonsignificant p value for heterogeneity of 0.6, meaning that there was no significant difference in treatment effect between those with and without diabetes. Some additional studies that have attempted get to the bottom of this issue suggest that the relationship between hyperglycemia and mortality is different in critically ill patients with diabetes versus without diabetes. In a retrospective observational study,36 patients without known diabetes had higher ICU and hospital mortality compared to those with diabetes for blood glucose ranges < 80, 144–180, 180–200, and >200 mg/dl. Another case-control study37 showed that, for any given insulin dose, mortality was higher in patients without diabetes than individuals with diabetes. Mortality increased for patients without diabetes at 144 mg/dl and for patients with diabetes at 200 mg/dl. Individuals with diabetes were sicker with higher glucose levels, but their mortality was the same as controls who didn't require insulin. Persons without diabetes who had hyperglycemia and required insulin had mortality rates twice as high as those with diabetes and controls. Both of these studies evaluated mixed ICU populations, but similar results have been shown in isolated critically ill populations such as those suffering from myocardial infarction and acute stroke.36,37 A meta-analysis showed that the pooled relative risk of in-hospital mortality after myocardial infarction in 1856 patients without diabetes who had stress hyperglycemia on admission was 3.9, and 688 patients with diabetes who had stress hyperglycemia on admission had a pooled unadjusted relative risk of 1.7.38 A study by Kosiborod and coworkers39 evaluated patients greater than 65 years old and noted that those with diabetes had a higher mortality at glucose levels <110 mg/dl for 30-day mortality and <170 mg/dl for 1 year mortality. However, patients without diabetes had higher mortality above these levels. Capes and associates also performed a meta-analysis in acute stroke patients, which showed an unadjusted relative risk of in-hospital or 30-day morality to be 3.07 (95% CI, 2.5 to 3.79) for patients without diabetes and 1.30 (95% CI, 0.49 to 3.43) for those with diabetes.40 Results of longer-term follow-up (3 months to 1 year) were mixed, with only 5 out of 10 studies associating stress hyperglycemia with increased mortality, but did seem to associate poor functional recovery up to 6 months after acute stroke with persons without diabetes who had stress hyperglycemia. Two additional studies assessing outcomes in acute stroke showed that admission hyperglycemia41 and prolonged stress hyperglycemia42 predict poorer prognosis and increase mortality, especially in patients without diabetes.

Assessment of Different Insulin Infusion Protocols

Since IIT has taken center stage, many different insulin protocols have been developed that attempt to attain normoglycemia and avoid hypoglycemia. Prior to this new era of glycemic control, insulin infusion was initiated in critically ill patients and titrated by nurses without much direction as to how to accomplish whatever goal was needed, or perhaps there was no true goal. Upon development and implementations of insulin infusion protocols, it has been shown by many that they have been able to safely and effectively achieve goal blood glucose.4348 An attempt to compare different protocols was difficult because of the many differences between protocols.49 Protocols or nomograms guiding insulin dosing should work to achieve glycemic control quickly with minimal hypoglycemia, have low operator error rate, and minimize nursing time required. The best protocols adjust for direction and rate of glucose decline, permit “off protocol” adjustments, and take individuality of patients into account.49

Cost-Effectiveness Studies

There are few studies looking at cost-effectiveness of insulin therapy in the ICU. Van den Berghe and coworkers performed a cost analysis for their surgical ICU study50 and demonstrated a cost savings of 2638 Euro per patient in the IIT group. A mixed medical–surgical ICU non-randomized study estimated a reduction in length of stay (LOS) by 0.3 days and a cost savings of $1580 per patient for the entire hospitalization.51 An additional single-center study compared cost for five subspecialty ICUs using protocolized IIT to four other subspecialty ICUs managing hyperglycemia according to the discretion of the individual physicians.52 The intervention was associated with a trend toward shorter LOS, lower costs (reduction of $5231 in total ICU costs), and lower mortality. Intensive insulin therapy and monitoring certainly is more expensive than conventional therapy and monitoring. The cost analyses that have occurred took place in single centers and showed reduction in mortality, LOS, and/or morbidity with IIT, which then resulted in a substantially lower overall cost than conventional treatment. The NICE-SUGAR study did not confirm benefits of intensive control on mortality, morbidity, or LOS,34 so it would be important to reassess cost-effectiveness of controlling hyperglycemia in the critically ill population.

Clinical Implications

The surgical ICU study of Van den Berghe and colleagues caused the glycemic pendulum to swing toward intensive control since its publication in 2001.1 Tight glycemic control has become a quality measure, and perhaps this study, despite its critics, brought the intensive care community to the realization that hyperglycemia (stress or otherwise) should not be ignored. But the release of the NICE-SUGAR study34 is creating a lot of discussion, and perhaps the pendulum will be swinging away from normoglycemia in the ICU. The professional societies have quickly changed their guidelines for glycemic goals in the ICU to be 140–180 mg/dl and on the general medical wards between 100–180 mg/dl.53 From a practical perspective, key take home points are as follows: (1) Do not neglect glycemic control in critically ill patients, as studies have tested not tight versus no/poor control, but tight versus good control. The former question needs to be answered, but until then, summative evidence would have us believe that reduction of severe hyperglycemia would reduce morbidity, especially from infectious complications. (2) There is no additional benefit in outcomes obtained by achieving normoglycemia compared to reasonable glycemic control. A moderate approach to managing critical illness hyperglycemia seems most prudent at this juncture. The ADA has appropriately altered guidelines to aim for glucose of 140–180 mg/dl for critically ill patients, and ICUs should make efforts to adjust to these goals. (3) There is harm from overt and quite possibly unrecognized hypoglycemia with IIT. Thus strict goals cannot be achieved safely given the limitations of current technology in monitoring glucose levels. It remains to be seen if there is benefit of tight glucose control once hypoglycemia is minimized with technological advances such as continuous glucose monitoring systems.

Future Directions

Certainly, the underlying pathophysiologic mechanisms behind stress hyperglycemia need to be characterized further to attempt to prevent its adverse consequences. While glycemic goals have been set in a moderate range, it may be that certain subsets of patients would benefit from different glycemic goals. Further studies will need to be completed to determine whether there is a need to individualize glycemia depending on the patient and their type of critical illness. Future research should also focus on hospital hyperglycemia outside of the ICUs, on the general medical–surgical floors, where patients in this day and age can still be found with glucose levels greater than 200 mg/dl being treated with sliding scale insulin.

Abbreviations

ADA

American Diabetes Association

CI

confidence interval

GLUT

glucose transporter

ICU

intensive care unit

IIT

intensive insulin therapy

LOS

length of stay

NICE-SUGAR

Normoglycaemia in Intensive Care Evaluation Survival Using Glucose Algorithm Regulation

NNH

number needed to harm

OR

odds ratio

RCT

randomized controlled trial

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