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J Diabetes Sci Technol. 2009 November; 3(6): 1270–1281.
Published online 2009 November. doi:  10.1177/193229680900300606
PMCID: PMC2787026
Challenges in Glycemic Control in Perioperative and Critically Ill Patients

Challenges to Glycemic Measurement in the Perioperative and Critically Ill Patient: A Review

Andrew D. Pitkin, M.B.B.S., MRCP, FRCA and Mark J. Rice, M.D.


Accurate monitoring of glucose in the perioperative environment has become increasingly important over the last few years. Because of increased cost, turnaround time, and sample volume, the use of central laboratory devices for glucose measurement has been somewhat supplanted by point-of-care (POC) glucose devices. The trade-off in moving to these POC systems has been a reduction in accuracy, especially in the hypoglycemic range. Furthermore, many of these POC devices were originally developed, marketed, and received Food and Drug Administration regulatory clearance as home use devices for patients with diabetes. Without further review, many of these POC glucose measurement devices have found their way into the hospital environment and are used frequently for measurement during intense insulin therapy, where accurate measurements are critical. This review covers the technology behind glucose measurement and the evidence questioning the use of many POC devices for perioperative glucose management.

Keywords: glucometer, glucose measurement, intense insulin therapy, intraoperative, laboratory, perioperative, point-of-care device


Since the publication of the landmark paper by Van den Berghe and colleagues showing improved outcomes in critical care patients treated with an intensive regime to maintain blood glucose between 80 and 110 mg/dl,1 the deleterious effects of hyperglycemia and the potential impact of aggressive maintenance of normoglycemia have been an area of intense study. The recent international, randomized multicenter Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation (NICE-SUGAR) trial demonstrating increased mortality from intensive blood sugar control in critically ill adults2 draws attention to the requirement for accurate perioperative glucose measurement. This study reported increased mortality among adult intensive care patients in whom blood glucose was targeted to 81–108 mg/dl, compared with a more traditional goal of less than 180 mg/dl. Furthermore, severe hypoglycemia was reported in 6.8% of patients in the intensive control group compared to only 0.5% in the conventional group. In this trial, glucose levels were measured using either point-of-care (POC) devices or central laboratory devices (CLD), with samples obtained from either arterial catheters or capillary sites. Out of 288 episodes of presumed severe hypoglycemia, defined as a blood glucose value less than 40 mg/dl, only 173 (60.1%) were subsequently confirmed by laboratory measurement.2

Reliably accurate measurement of blood glucose in the perioperative and critical care environment is essential. This article reviews indications, regulation, requirements, technology, and accuracy of currently available blood glucose measurement systems in use in the perioperative arena, which includes critical care units, with emphasis on the importance of accuracy at hypoglycemic (less than 70 mg/dl) values. Included in POC devices are self-monitoring of blood glucose (SMBG) devices, originally marketed and regulated for patient home use, as well as the i-Stat® and HemoCue® devices. Because most intensive care units (ICUs) rely on POC devices for glucose measurement,3 it is critical that the clinician appreciates that a faster bedside result has a distinct drawback—a reduction in accuracy.

Indications for Perioperative Blood Glucose Testing

Intraoperative Testing

Blood glucose is measured intraoperatively with either a POC device or as part of an array of assays performed by a CLD. The injurious effects of hyperglycemia in the operating room have been highlighted by many studies in general surgery,4,5 liver transplantation,6 vascular,7 and cardiac surgery.811 Although an optimal range for intraoperative blood glucose in both adults and children undergoing major surgery has not yet been defined, it seems that extremes of blood glucose are associated with increased morbidity and mortality in the perioperative setting. Although accuracy at all glucose concentrations is important, it is vital in the hypoglycemic range.

Testing in the ICU

Abnormalities of blood glucose, particularly hyperglycemia, are common in the adult ICU population, even in patients without a diagnosis of diabetes. Critical illness hyperglycemia is commonly regarded as an extreme form of “stress hyperglycemia” typically attributed to insulin resistance caused by endogenous and exogenous catecholamines and glucocorticoids.12,13 In addition, high levels of circulating free fatty acids inhibit peripheral glucose uptake and utilization,14 causing hepatic steatosis, which impairs liver glucose regulation in the critically ill.15

A prospective trial of 1548 adult surgical ICU patients showed that intensive insulin therapy to maintain a blood glucose level between 80 and 110 mg/dl reduced ICU mortality by 32%.1 The greatest effect was seen on deaths from multiorgan failure due to sepsis. Following this and other publications linking hyperglycemia with worse outcomes in the perioperative setting, the American Diabetes Association (ADA) published guidelines suggesting that blood glucose in critically ill patients be kept as close to 110 mg/dl as possible and generally below 140 mg/dl.16 Many professional societies made similar recommendations.17,18 Concerns over iatrogenic hypoglycemia and the applicability of the findings to other ICU populations have inhibited the universal adoption of these guidelines. A subsequent meta-analysis of 26 randomized controlled trials of tight glucose control in 13,567 adult critically ill patients showed no mortality benefit despite an increased risk of hypoglycemia.19 Since the publication of the NICE-SUGAR trial, the American Association of Clinical Endocrinologists and the ADA have revised their original guidelines. They now advise a more modest goal for glycemic control in the ICU patient of 140–180 mg/dl.20

Factors Affecting Accuracy of Glucose Measurement


A potential error in current practice arises from the use of blood and plasma glucose as interchangeable terms, with the consequent risk of misinterpretation.21 The glucose concentration in plasma is approximately 11% higher than that in whole blood due to the higher water content in plasma (93%) compared with erythrocytes (73%), and therefore a multiplier of 1.11 for the conversion of glucose in blood to plasma has been recommended.22 Use of plasma glucose concentration is suggested because the physiological activity of glucose corresponds more closely with plasma concentration than whole blood glucose concentration, which varies considerably with hematocrit.23,24 Although POC devices measure glucose in whole blood, they almost all self-correct internally, reporting results as plasma glucose. In the United States, plasma glucose levels are reported most commonly in milligrams per deciliter, but in many other countries are reported in Système International units of millimoles per liter, with 18 mg/dl = 1 mmol/liter.

Sampling Site

The ADA and World Health Organization recommend the use of venous plasma glucose for measuring and reporting, but recognize the widespread use of capillary blood sampling25 (fingertip blood samples are commonly expressed as capillary blood samples), despite evidence that this may lead to measurement error.26 The difference between capillary and venous glucose is typically small in nonhypotensive fasting subjects, but can be up to 8% higher in capillary blood after meals or glucose challenge.20,27 In some studies, arterial blood glucose has been shown to be significantly higher than both capillary and venous blood glucose,28,29 whereas the difference was clinically unimportant in another study.30 Compared to capillary blood, arterial sampling is generally accepted to be a more accurate measurement.31,32

Patient and Environmental Factors

Poor peripheral perfusion (e.g., circulatory shock) results in increased tissue glucose extraction and a lower glucose value in capillary than venous blood. Capillary blood glucose specimens from severely hypotensive patients are more likely to underestimate arterial and central venous blood glucose, resulting in an incorrect diagnosis of systemic hypoglycemia compared to normotensive patients.33 Similar results have been obtained in intensive care patients.32,3436 Anemia decreases and polycythemia increases the difference between whole blood and plasma glucose not only for the aforementioned reasons, but also impedance of plasma diffusion into the test strip by the higher viscosity (increased hematocrit) may alter results obtained by some POC devices37,38 (see Figure 1, graph D).39 This effect has particular relevance in critically ill neonates in whom the hematocrit may vary widely, and rapid detection of hypoglycemia is essential. Many POC devices have been shown to be inadequate in this setting.4043

Figure 1.
Plots of paired differences of SureStep Pro glucose measurements minus primary reference glucose measurements as a function of critical care variables (n = 129). Paired differences versus (A) PO2, (B) pH, (C) PCO2, and (D) hematocrit. The PO2 range was ...

Point-of-care device test strips using glucose oxidase (see later) are prone to errors caused by oxygen effects. Tang and colleagues showed that errors of 15% or more could occur with highly oxygenated blood samples (i.e., PaO2 >100 mm Hg),44 and variances of up to 46% from reference values have been observed under hyperbaric conditions.4548 These devices have also been shown to underestimate blood glucose at altitude (i.e., low ambient PO2) by 1–2% per 1000 feet of elevation,49,50 and errors of more than 15% have been shown when analyzing hypoxic blood (PO2 < 44 mm Hg).51 The severity of errors with low PO2 is highly dependent on the type of test strip (electrochemical vs photometric) and type of enzyme employed in different test strips. The effect of temperature on the test strip reaction rate has been shown to cause clinically relevant reductions in the accuracy of some devices, with low temperatures typically causing underestimation and high temperatures causing overestimation of true blood glucose,52,53 even within the limits specified by the manufacturers. Glucose concentrations also follow a circadian rhythm.54 Patient and environmental factors affecting accuracy are summarized in Table 1.38

Table 1.
Confounding Variables in Glucose Measurementa

U.S. Regulatory Guidelines

The Food and Drug Administration (FDA) exerts regulatory control over all glucose measurement devices, including CLD and POC devices. Manufacturers must show acceptable accuracy and documentation of potential confounding interferences (e.g., hematocrit). Self-monitoring of blood glucose (SMBG) devices must also demonstrate satisfactory human factor performance prior to FDA regulatory clearance.55 Central laboratory devices have reported accuracies of 2.2–2.8% coefficient of variation (CV)56 (Table 2) and must meet Clinical Laboratory Improvement Amendment (CLIA) requirements.57 The CLIA of 1988 is the set of federal regulations that set forth the conditions that all laboratories must meet to be certified to perform testing on human specimens. Coefficient of variation is defined as the ratio of the standard deviation (SD) to the mean. Regulation of SMBGs has been a compromise between accuracy and the need to assist industry in encouraging the establishment of home glucose monitoring, with its overwhelming long-term beneficial effects. In 1996, the FDA assembled a panel58 sponsored by the ADA, FDA, National Institutes of Health, and Center for Disease Control to review accuracy standards for SMBG devices. The consensus document published called for results within 10% total error (bias plus imprecision) of reference values, with future devices within 5%.59 This has not been achieved for any of the SMBG devices in the intervening years.60 Current guidance from the FDA61 has not changed from 1996, and the FDA target [based on International Organization for Standardization (ISO) 15197:2003] for SMBG accuracy specifies 95% of readings within 15 mg/dl for glucose values of 75 mg/dl or less and within 20% for others. Furthermore, the FDA admonishes manufacturers that “you should clarify that critically ill patients (e.g., those with severe hypotension or shock, hyperglycemic-hyperosmolar state, hypoxia, severe dehydration, diabetic ketoacidosis) should not be tested with blood glucose meters because inaccurate results may occur.” This has not prevented the unanticipated stealth migration of SMBG devices to the hospital environment, where their inherent inaccuracy compared with CLDs is not widely appreciated and is therefore potentially dangerous when used for tight glucose control.

Table 2.
Methods of Glucose Measurement Analysis in 5409 Laboratoriesa,b

Measurement of Glucose

The small and colorless glucose molecule is very difficult to measure directly. Therefore, all marketed glucose measurement devices use indirect measurement methods.

Glucose Measurement Methodologies

All techniques are enzymatic, with measurement of by-products by optical (reflectometric) or electrochemical (amperometric) methods (details of these methodologies have been published previously38,56)

The following three enzyme reactions are used.

  • Hexokinase (used most commonly in CLD) phosphorylates glucose to glucose-6-phosphate, which is then oxidized by glucose-6-phosphate dehydrogenase to form NADH from NAD. The NADH formed is directly proportional to the amount of glucose present and is either measured at 340 nm or by other methods.
  • Glucose oxidase (the traditional enzyme in SMBG devices) catalyzes the oxidation of glucose to gluconic acid and hydrogen peroxide (H2O2). There are various means of measuring H2O2, the concentration of which is proportional to the glucose present.
  • Glucose-1-dehydrogenase (GDH) catalyzes the oxidation of glucose to gluconolactone, which converts NADH from NAD. The NADH formed is directly proportional to the amount of glucose present and is either measured at 340 nm or by other methods. A second GDH-based measurement system with steadily increasing market share, glucose-1-dehydrogenase pyrroloquinolinequinone, ismore nonspecific for glucose. Measurement devices usingthis enzyme system may yield falsely high glucose readings in the presence of maltose, xylose, or galactose. This can be a problem with patients receiving peritoneal dialysis when icodextrin is metabolized to maltose.62

In a typical reflectometric system, blood is placed on the disposable strip and is impregnated with the enzymes glucose oxidase and peroxidase and with specific color indicators. When whole blood is placed on the strip, hydrogen peroxide is formed in the presence of peroxidase to cause a color change, the intensity of which is directly proportional to the glucose concentration.

Amperometric monitors quantify glucose by measuring the current produced when glucose dehydrogenase catalyzes the oxidation of glucose to gluconolactone or when glucose oxidase catalyzes the oxidation of glucose to gluconic acid. The resultant current is proportional to the concentration of glucose.

Accuracy Assessment of Glucose Measurement Devices

There are a number of methods to express device accuracy, as illustrated with the following examples. Stork and associates63 compared the accuracy of the HemoCue® analyzer, a POC device that uses a glucose dehydrogenase reaction with a disposable microcuvette and a dual wavelength photometer, with a Yellow Springs Instrument (YSI), a CLD with very high accuracy, in volunteers with a wide range of glucose values induced with insulin clamping. These were controlled experiments, with hypoglycemia induced with insulin under tightly monitored conditions. Figure 2 shows data expressed as regression with the HemoCue plotted against reference measurements (YSI). Despite the inappropriate use of correlation coefficients by the authors,64 it is clear that there is less agreement between the techniques at low glucose values. This illustrates well the danger in considering only the overall accuracy of a device without looking specifically at hypoglycemic values. Figure 3 shows Bland–Altman plots of the absolute difference between HemoCue and YSI. Finally, Figure 4 shows the same data plotted on Clarke error grids.65 A Clarke grid is a plot of clinical accuracy, comparing a glucose meter to a reference measurement. The section of the graph with the higher letter (A to E) signifies the more dangerous error. The FDA has assigned considerable weight to the accuracy of SMBG devices plotted on Clarke grids. However, note the expansive box “A” (lowest danger zone) in the bottom of Figure 4, where it is readily apparent that a grave error may occur between measurement with a POC device and a reference. With the movement of these SMBG devices into the perioperative environment, the possibility of a fatal error may exist, especially at low glucose values.

Figure 2.
Regression line and regression equation (after 10% correction for the difference between whole blood and plasma glucose concentration) for all values in the upper panel (open circles) and in the lower panel for hypoglycemic values separately (YSI ≤ ...
Figure 3.
Altman's residual plot (mean of paired values plotted against the absolute difference between paired values), with 95% limits of agreement (means ± 1.96 SD; broken lines) and regression line. (Top) Altman's residual plot of all values (open circles) ...
Figure 4.
Error grid analysis of HemoCue plasma glucose concentrations (Y axes) with the YSI as reference method (X axes). All values are plotted in the upper panel (open circles); 98.8% were within the clinically accurate zone A. One value was in zone D (0.2%), ...

Point-of-Care Devices

The POC devices include such marketed systems as the HemoCue (see earlier discussion), the iStat®, and SMBG devices introduced in the late 1970s. These SMBG devices have been marketed into the hospital environment either as the identical product or as the same technology packaged as a hospital-specific product. The POC devices have three major advantages over CLD.

  • Cost—It is considerably less expensive to obtain a bedside glucose measurement than a CLD result.
  • Time—The turnaround time is much faster than sending a specimen to a laboratory.66
  • Minimal sample volume needed—The required volume is 2–10 μl of blood compared to much larger volumes for a CLD.67

The distinct disadvantage of most of the POC devices is a reduction in accuracy, which is especially relevant in the hypoglycemic range.


The iStat (Abbott Point of Care, Princeton, NJ) system uses glucose oxidase and measures glucose amperometrically in a cartridge. Company literature reports accuracy equal to that of CLD, although peer-reviewed literature is sparse.


The HemoCue analyzer (Lake Forest, CA) was discussed earlier. It should be noted that Stork and colleagues63 concluded that “…these methods (i.e., HemoCue and YSI) can be used interchangeably for research and clinical purposes in adults.” An additional advantage of this device is that it does not show significant change with hematocrit compared to other POC devices.68

Self-Monitoring of Blood Glucose Devices Used in the Hospital Setting

With the use of more strict glucose protocols and the need for faster results, there is a push to increase the perioperative use of POC devices. Table 367 is a partial list, along with their specific enzyme and test method. It is not the intent of the authors to mention specifically marketed devices. Table 3 includes a number of devices currently used in the hospital environment, but any SMBG device granted FDA regulatory clearance may be used in a hospital with an appropriate continuous quality assurance (CQI) protocol. The usual minimum CQI requirement is that three different control solutions (low, mid, and high glucose) be used. Most manufacturers only supply those for a few meters because of the increased overhead of making the solutions.

Table 3.
Characteristics of Glucose Meters Useda

Hypoglycemic Accuracy Is Really All That Matters

There is not much hypoglycemic accuracy data on POC glucose devices for two reasons. First, there has traditionally not been much interest, although this may be changing. Second, it is difficult to obtain large datasets from hypo-glycemic patients. Clamp studies (see earlier discussion) are ideal but expensive.

The difficulty of examining POC devices is illustrated by Slater-Maclean and colleagues.31 A comparison of 1227 glucose measurements in critical care patients was made among three POC devices, a POC blood gas and glucose analyzer (Bayer Chiron 865®) and a CLD (YSI). The authors stated that “the majority of the measurements exceeded 75 mg/dl and none was less than 40 mg/dl.” However, on close examination, it appears that no measurements were below 70 mg/dl. Not one! It is hard to agree with the authors' recommendation for use of an instrument for measurement of glucose in the critical care environment with not one data point in the hypoglycemic range. To be fair, there are few data regarding any POC devices in the low glucose range.

Khan and colleagues67 compared seven POC devices (see Table 3) at four different glucose levels. Figure 5 is a plot of percentage bias for each device compared to reference measurements. All meters (by manufacturer) had similar accuracy expressed as percentage bias at hypoglycemia, except the Bayer Elite®, which was very inaccurate. Illustrating how poorly percentage bias predicts performance during actual measurements, Figure 6 is a Bland–Altman plot of glucose measurements made with the Accu-Chek Comfort® (Roche) compared to a CLD, with 51% of the readings in the hypoglycemic range disagreeing by more than 20%,67 clearly showing a high degree of inaccuracy with this device with hypoglycemic measurements. In 30 critically ill patients, Kanji and colleagues32 estimated clinical agreement (said to exist when the result led to correct adjustment in insulin infusion titration) in capillary and arterial samples, comparing the Accu-Chek Inform® with a CLD. Clinical agreement was better with arterial (69.9%) than capillary measurement (56.8%) compared to the CLD for the entire glucose range. During hypoglycemia, capillary measurement (Figure 7) resulted in clinical agreement only 26.3% of the time. Arterial sampling led to better agreement with the CLD, but still only 55.6% of samples led to the correct clinical decision (Figure 8). In a retrospective study of 197 ICU patients, Finkielman and colleagues69 made 816 simultaneous blood glucose measurements with a POC device (SureStep® Flexx®, LifeScan, Milpitas, CA) and a CLD. The mean difference between the two measurement techniques was 7.9 ± 17.6 mg/dl, which appears to be fair agreement. However, on 18 occasions, the POC glucose was reported as <50 mg/dl, but the mean CLD measurement was 66.9 mg/dl, with a range of 13 to 198 mg/dl! The authors concluded, “On average, bGlu (POC measurement) provides a reasonable estimate for pGlu (CLD measurement). However, for the individual patient, bGlu gives an unreliable estimate of pGlu.”

Figure 5.
Percentage bias for each point-of-care testing glucose meter compared with the YSI 2300 reference method. Reprinted with permission from Archives of Pathology and Laboratory Medicine.67
Figure 6.
Difference plot of the Accu-Chek Comfort (Roche) and a CLD (the Bland—Altman plot) at hypoglycemic values. Meter, glucose meter readings; CLV, central laboratory value. Reprinted with permission from Archives of Pathology and Laboratory Medicine ...
Figure 7.
Paired differences (n = 118) between glucose meter analysis of capillary blood and reference standard for all 30 patients. Paired differences were calculated by subtracting reference standard values from capillary sample values. Medians and interquartile ...
Figure 8.
Paired differences (n = 113) between glucose meter analysis of arterial blood and reference standard for all 30 patients. Paired differences were calculated by subtracting reference standard values from capillary sample values. Medians and interquartile ...

Hoedemaekers and colleagues70 randomly sampled arterial blood in ICU and non-ICU patients, all under the Van den Berghe protocol.1 Three different POC devices (Accu-Chek sensor, HemoCue, and Abbott Precision®) were compared to CLD. Accuracy was compared to ISO standards, which require the glucose measurements >4.1 mmol/liter (74 mg/dl) to be within 20% of reference values and for glucose measurements <4.1 mmol/liter (74 mg/dl) to be within 0.8 mmol/liter (14.4 mg/dl) of reference values; in both cases 95% of the time. Paired samples from the ICU failed to meet ISO criteria from the Accu-Chek sensor, HemoCue, and Precision in 9 of 82 (11.0%), 4 of 82 (4.9%), and 11 of 82 (13.4%) of the cases, respectively (Figure 9). The authors concluded that “… glucose results from three point-of-care testing devices were inaccurate in both the ICU and non-ICU patients. Among ICU patients, inaccurate glucose readings were most frequently falsely elevated, resulting in misinterpretation of high glucose values with subsequent inappropriate insulin administration or masking true hypoglycemia.” They concluded that “… these POC devices seem attractive because of simple handling and rapid results, they should not be used in ICU patients.”70

Figure 9.
Bland—Altman plot of agreement between simultaneous glucose measurements by the Accu-Chek and glucose oxidase method (A), HemoCue method (B), and Precision method (C) in 82 arterial samples obtained from 53 random intensive care patients. Reprinted ...


There is little dispute that the advent of home glucose monitoring using POC devices has greatly facilitated good glycemic control for patients with diabetes, but the increasing weight of evidence that effective glycemic control influences outcome in a range of acute medical and surgical conditions has propelled their adoption within the hospital setting without the regulatory scrutiny that might be expected of a critical hospital diagnostic monitor. Tight glycemic control mandates precise measurement of blood glucose, yet the lack of accuracy of POC devices, especially in the potentially harmful hypoglycemic range, has escaped widespread recognition among health care professionals who understandably assume that POC device readings can be safely substituted for CLD results. Further, the lag between product release, assessment, and publication means that very few, if any, devices evaluated in the open literature are still marketed to hospitals; their successors (which often share a similar trade name) may have very different performance characteristics, adding to the uncertainty surrounding the reliability of POC glucose results.

A range of patient and environmental factors compound the intrinsic inaccuracy of many POC devices; these are especially likely to be encountered within the perioperative and critical care environment with patients in whom errors in glycemic measurement are most likely to cause harm. Guidance from the FDA specifically warns against the use of POC devices in this context, yet they continue to be widely used for patients in intensive care and major surgery, without appropriate evaluation and regulation. In an era where glycemic control is the subject of so much research interest, the challenge for the perioperative clinician is to understand the limitations placed on glucose measurement accuracy by factors both intrinsic and extrinsic to the measurement device. Carefully controlled clinical trials are needed to examine these variables more closely and elucidate best practice for perioperative glucose measurement.


The authors thank Nik Gravenstein, M.D., and John L. Smith, Ph.D., for reading the manuscript and offering thoughtful suggestions.


American Diabetes Association
central laboratory devices
Clinical Laboratory Improvement Amendment
continuous quality assurance
coefficient of variation
Food and Drug Administration
intensive care unit
International Organization for Standardization
Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation
point of care
standard deviation
self-monitoring of blood glucose
Yellow Springs Instrument


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