DÄ internationalArchive38/2021Blood Sugar Targets in Surgical Intensive Care

Review article

Blood Sugar Targets in Surgical Intensive Care

Management and Special Considerations in Patients With Diabetes

Dtsch Arztebl Int 2021; 118: 629-36. DOI: 10.3238/arztebl.m2021.0221

Roth, J; Sommerfeld, O; Birkenfeld, A L; Sponholz, C; Müller, U A; von Loeffelholz, C

Background: 30–80% of patients being treated in intensive care units in the perioperative period develop hyperglycemia. This stress hyperglycemia is induced and maintained by inflammatory-endocrine and iatrogenic stimuli and generally requires treatment. There is uncertainty regarding the optimal blood glucose targets for patients with diabetes mellitus.

Methods: This review is based on pertinent publications retrieved by a selective search in PubMed and Google Scholar.

Results: Patients in intensive care with pre-existing diabetes do not benefit from blood sugar reduction to the same extent as metabolically healthy individuals, but they, too, are exposed to a clinically relevant risk of hypoglycemia. A therapeutic range from 4.4 to 6.1 mmol/L (79–110  mg/dL) cannot be justified for patients with diabetes mellitus. The primary therapeutic strategy in the perioperative setting should be to strictly avoid hypoglycemia. Neurotoxic effects and the promotion of wound-healing disturbances are among the adverse consequences of hyperglycemia. Meta-analyses have shown that an upper blood sugar limit of 10  mmol/L (180  mg/dL) is associated with better outcomes for diabetic patients than an upper limit of less than this value. The target range of 7.8–10  mmol/L (140–180  mg/dL) proposed by specialty societies for hospitalized patients with diabetes seems to be the best compromise at present for optimizing clinical outcomes while avoiding hypoglycemia. The method of choice for achieving this goal in intensive care medicine is the continuous intravenous administration of insulin, requirng standardized, high-quality monitoring conditions.

Conclusion: Optimal blood sugar control for diabetic patients in intensive care meets the dual objectives of avoiding hypoglycemia while keeping the blood glucose concentration under 10  mmol/L (180  mg/dL). Nutrition therapy in accordance with the relevant guidelines is an indispensable prerequisite.

LNSLNS

Intensive care patients frequently develop a metabolic condition known as stress-induced hyperglycemia, regardless of any pre-existing diabetes. A US American study involving 12 559 305 point-of-care measurements reported a prevalence of hyperglycemia (>10 mmol/L [>180 mg/dL]) in 46% of the intensive care patients (1). This proportion is even higher among surgically treated patients: in cardiac surgery up to 80% (2), in liver and pancreas surgery 30 and 60%, respectively (3). In the non-critical care setting, around 25% of patients are affected (4). A trauma registry-based study involving hospitalized patients with diabetes revealed uncontrolled blood sugar levels (>13.9 mmol/L [>250 mg/dL]) in >30% of cases (5). A Swedish observational study (6) identified chronic dysglycemia (HbA1c ≥ 6% or diabetes) at the time of admission in 33% of 943 intensive care unit (ICU) patients. Of these 312 patients, 27% had prediabetes (HbA1c 6.0–6.4%), 14% had undiagnosed diabetes mellitus with an HbA1c of at least 6.5%, and 59% had a history of diabetes. So, there was a combination of chronic dysglycemia and acute stress-induced hyperglycemia in one third of the intensive care unit patients. It has been shown that patients with diabetes have increased hospital morbidity and length of stay as well as increased perioperative mortality (7, 8, 9). Furthermore, diabetes is a known predictor of reduced long-term survival after sepsis (10). With intensive glucose control (i.v. insulin therapy at 6.1 mmol/L [110 mg/dL], target range 4.4–6.1 mmol/L [80–110 mg/dL], Table 1), the Belgian Leuven-I landmark study (11) reduced ICU mortality from 8 to 4.6% (number needed to treat [NNT] 30) (control group: insulin therapy at blood glucose levels >11.9 mmol/L [>215 mg/dL], target range 10–11.1 mmol/L [180–200 mg/dL]). In addition, further studies (12, 13, 14) showed a U-shaped or J-shaped curve for the association between mortality risk and blood glucose levels in critically ill patients (Figure 1). There was a similar, but flatter, curve for patients with diabetes (15, 16, 17, Figure 1). The treatment approach of intensive insulin therapy (IIT) was strictly adopted in the management of patients in need of intensive care (18, 19). The multicenter NICE-SUGAR study (20), Leuven-II (21) and other single-center randomized controlled studies (RCT) were unable to reproduce the mortality-lowering effect of IIT from the Leuven-I study (Table 1).

Association between mortality and blood glucose levels for critically ill patients. With no pre-existing diabetes mellitus, the curve shows lowest mortality in the range of normal blood glucose levels. This point is displaced towards higher blood sugar levels in diabetic patients.
Figure 1
Association between mortality and blood glucose levels for critically ill patients. With no pre-existing diabetes mellitus, the curve shows lowest mortality in the range of normal blood glucose levels. This point is displaced towards higher blood sugar levels in diabetic patients.
Overview of the most important randomized controlled studies evaluating glycemic control of critically ill patients
Table 1
Overview of the most important randomized controlled studies evaluating glycemic control of critically ill patients

The NICE-SUGAR study showed increased 90-day mortality under IIT in comparison with the control group (27.5% versus 24.9%; odds ratio [OR] 1.14; 95% confidence interval: [1.02; 1.28]; p = 0.02), primarily as a result of more frequent deaths from cardiovascular causes in the intervention group (41.6% versus 35.8%; p = 0.02). A direct association with the significantly increased incidence of hypoglycemia in the intervention arm (6.8 % versus 0.5 %; OR 14.7; [9.0; 25.9]) was not confirmed. Operative patients were particularly affected by excess mortality. No other subgroup effects were observed.

This inconsistency in the study results led to an ongoing discussion regarding the optimal blood glucose target range for diabetic patients in need of intensive care. While taking into consideration existing evidence and guidelines, the present article aims to provide practical recommendations on blood glucose monitoring for critically ill patients, focusing on patients with diabetes.

Methods

A selective search of the literature was conducted using PubMed and Google Scholar, with an emphasis on the following (variously combined) terms: “Diabetes”, “Critical Care”, “Blood Glucose”, “Glucose Control”, “Glucose Monitoring”, “Glucose Management”, “Intensive Care Unit”, “ICU”, “Hypoglycemia” and “Outcome”. Primary research and review articles published between 2001 and February 2021 and guidelines from leading professional societies were included (German Diabetes Society [Deutsche Diabetes Gesellschaft, DDG], American Diabetes Association [ADA], German Society for Nutritional Medicine [Deutsche Gesellschaft für Ernährungsmedizin, DGEM], European Society for Clinical Nutrition and Metabolism [ESPEN], and American Society for Parenteral and Enteral Nutrition [ASPEN]).

Basic principles and diagnostic approach

Pathophysiologically, the metabolic state of stress-induced hyperglycemia is due to endocrine effects caused by cortisol, glucagon and somatropin and to an acute phase response of the innate immune system secondary to major surgery or critical illness. In patients with diabetes, the resulting acute insulin resistance (28, 29) encounters an already defective glucose regulation (Figure 2). There is no generally accepted definition to date of stress hyperglycemia (4, 10, 30). Long-standing considerations stipulate for its diagnosis blood glucose thresholds of 6.9 mmol/L (124 mg/dL) for fasting and 11.1 mmol/L (200 mg/dL) for random measurements in patients without known diabetes (31, 32). Recent concepts assume that the stress hyperglycemia ratio (SHR, relative hyperglycemia) is a predictor for in-hospital mortality. It is calculated by dividing the admission blood glucose level by the average glucose level (derived from the current HbA1c value) (5, 33). The lowest point of ICU mortality was for an SHR of 0.8–1.0 for patients with an HbA1c >6.5% on admission. A higher or lower SHR increased ICU mortality (34).

Concept of stress-induced hyperglycemia with pre-existing diabetes. Insulin resistance and deficiency cause reduced glucose uptake at insulin-dependent organs, increased proteolysis and dyslipidemia (peripheral insulin resistance).
Figure 2
Concept of stress-induced hyperglycemia with pre-existing diabetes. Insulin resistance and deficiency cause reduced glucose uptake at insulin-dependent organs, increased proteolysis and dyslipidemia (peripheral insulin resistance).

The ADA defines a threshold of 7.8 mmol/L (140 mg/dL) as hyperglycemic for hospitalized patients with diabetes (30). The DDG sees a need for action for blood glucose levels >10 mmol/L (>180 mg/dL) and suggests a target range of 7.8–10 mmol/L (140–180 mg/dL) (9). At any rate, risk stratification by determining HbA1c on admission to hospital or the ICU is to be recommended (4, 30, 35). Firstly, this would allow a previously unrecognized diabetes to be diagnosed. And secondly, there is the possibility of individually tailoring the intensity of glucose-lowering treatment. Pre-existing diabetes can be assumed, or an as yet unrecognized diabetes can be diagnosed, from an HbA1c of 6.5% or higher (35). According to the DDG’s regularly evaluated recommendations for practice, factors influencing and interfering with HbA1c measurement should be carefully heeded to avoid misdiagnosis (36, 37).

A retrospective observation study involving 3084 critically ill patients demonstrated an association between pre-morbid glycemic control (HbA1c levels <6.5, 6.5–7.9, ≥ 8.0%) and the incidence of severe hypoglycemia (0.9, 2.5, 4.3 %; p <0.001) (38). In turn, these were associated with increased in-hospital mortality. It should now be possible to answer the question of whether an individualized approach can improve the outcome of critically ill patients following publication of the results of an already completed multicenter RCT (CONTROLING, NCT02244073).

No treatment without side effects

The drug of choice for managing stress-induced hyperglycemia is insulin. However, its use – regardless of whether the patient is diabetic – is associated with the highest rate of hypoglycemia (39). At least 10% of documented medication errors resulted in insulin-related hypoglycemia (9, 39).

A meta-analysis examined the connection between glycemic control, mortality, and hypoglycemia using the results of 36 RCTs containing the data of 17 996 ICU patients (40) and defined four glycemic control subgroups:

  • “tight” (4.4 to ˂6.1 mmol/L [79–110 mg/dL])
  • “moderate” (6.1 to ˂7.8 mmol/L [110–141 mg/dL])
  • “mild” (7.8 to <10 mmol/L [141–180 mg/dl])
  • “very mild” (10 to ˂12.2 mmol/L [180–220 mg/dL])

Using the “very mild” subgroup as a reference, no treatment modality was superior to the others with regard to total mortality. Irrespective of treatment type (conservative versus surgical intensive care unit), treatment duration and diabetes status, a fivefold increased risk for hypoglycemia remained when patients were treated with “tight” glycemic control as compared with “mild” or “very mild”.

The most significant risk under IIT for patients with diabetes receiving intensive care is treatment-associated hypoglycemia (e1). The rating of levels between 2.3 and 3.9 mmol/L (41–70 mg/dL) as mild or moderate and ≤ 2.2 mmol/L (40 mg/dL) as severe hypoglycemia has gained international acceptance (e1). In addition, the ADA and the Endocrine Society demanded in 2013 that all episodes of abnormally low plasma glucose levels in diabetic patients that expose the individual to potential harm be defined as iatrogenic hypoglycemia (e1). Setting uniform limits for diabetic patients is problematic since even relative hypoglycemia (≥ 30% decrease below mean prehospital admission levels) can be associated with negative effects (e2, e3). The accepted threshold is ≤ 3.9 mmol/L (≤ 70 mg/dL) which, according to the ADA, corresponds to level 1 hypoglycemia (30). Beyond this value, particular attention should be directed towards further, often more pronounced hypoglycemia, irrespective of symptoms (e1).

In one of the named studies involving 126 US American centers, at least one level 1 hypoglycemia episode was detected in 10.1% of ICU patient-days and in 3.5% of non-ICU patient-days (1). The ADA considers level 2 hypoglycemia to be blood glucose levels <3.0 mmol/L (<54 mg/dL), which accounts for 5.3% of ICU patient days according to [1]). Level 3 hypoglycemia is defined as a “clinical event characterized by altered mental and/or physical functioning that requires assistance from another person for recovery” (30). Blood glucose levels <2.2 mmol/L (40 mg/dL) were identified in 1.9% of ICU patient days (1). Diabetic patients with severe hypoglycemia have an increased risk of cardiovascular events (absolute risk increase [ARI] for major macrovascular events: 1.3%) and mortality (ARI for death from any cause: 10.5%) (e4). The above examples show why it is absolutely essential to define a lower blood glucose threshold that can be reached by insulin therapy but should not be fallen short of.

Defining a lower blood glucose threshold

If the ADA definition for level-1 hypoglycemia were taken as the lower treatment threshold, then the risk for hypoglycemia would be disproportionately high. Under IIT, the NICE-SUGAR study showed an increased 90-day mortality for the total study population, with a number needed to harm (NNH) of 38, which was affected decisively by cardiac events (20). In the subgroup comparison, 1211 diabetic patients demonstrated no significant difference with regard to adverse reactions (including hypoglycemia) and outcome when compared with non-diabetics and other subgroups (Table 1). Nor did a combined analysis of the 407 diabetic patients from the two Leuven studies find any increased hypoglycemia rates in comparison with the other subgroups ([e5], Table 1). The above meta-analysis conducted by Yamada et al. identified the blood glucose target range of 7.8–10 mmol/L (141–180 mg/dL) as most likely to meet the compromise of reducing ICU mortality on the one hand and avoiding hypoglycemia on the other (40). Another meta-analysis looking at the data from 15 RCTs (13 studies included patients with diabetes, five of them exclusively) examined the effect of perioperative glucose target ranges on surgical site infection. It showed as an incidental finding that the hypoglycemia risk (definition here: <4.4 or <2.2 mmol/L [<79 or <40 mg/dL]) was significantly higher (OR: 5.55; [2.58; 11.96]) in the blood glucose target ranges <6.1 mmol/L (<110 mg/dL) and 6–8 mmol/L (108–144 mg/dL) as compared with conventional glycemic control (<12.2 mmol/L [<220 mg/dL]) (e6). Four of the 15 studies, however, reported no cases of hypoglycemia. In the other studies, the risk of developing severe adverse events associated with hypoglycemia (death [OR: 0.74; [0.45; 1.23]], stroke [OR 1.37; [0.26; 7.20]]) was not significantly different on comparing strict and conventional glycemic control.

A problem arises from deriving a lower target blood glucose threshold of 6.1 mmol/L (110 mg/dL) for perioperative care from the data of these studies as a compromise because this value is close to level 1 hypoglycemia. Factors which promote insulin resistance and make it difficult to achieve therapeutic goals should also be considered (Figure 2). ESPEN recommends a blood glucose target range of 6–8 mmol/L (108–144 mg/dl) for all intensive care patients (e7). The DDG favors higher threshold values: For patients not at risk from hypoglycemia, levels of 6.1–7.8 mmol/L (110–140 mg/dL) are regarded as tolerable, with values of 7.8–10 mmol/L (140–180 mg/dL) defined as the target range (9). The ADA takes a similar stance (30). Both the NICE-SUGAR study and meta-analyses confirm the range of 8–10 mmol/L (144–180 mg/dl) as one with a low risk of hypoglycemia (20, 40). Thus, it seems feasible in practice to reduce, or pause, intravenous insulin administration as soon as a blood glucose level of 8 mmol/L (144 mg/dL) is reached. Increased monitoring is required for the range of 6.1–8 mmol/L (110–144 mg/dL), and, if below 6.1 mmol/L (110 mg/dL), administration of glucose should be considered, or starting or restarting nutritional therapy. The region ≤ 3.9 mmol/L (≤ 70 mg/dL) should be avoided in all events. This recommendation is supported by the results of a retrospective observational study involving 747 critically ill patients who had had at least one episode of a blood glucose level <3.9 mmol/L (<70 mg/dL): The risk of in-hospital mortality (OR 1.22, 95% CI: [0.77; 1.93], p = 0.39) was independent of the causes of hypoglycemia (spontaneous [induced by most severe illness] or iatrogenic) and diabetes status (e8).

Defining an upper blood glucose threshold

Since stricter glucose control does not generally reduce mortality, while hypoglycemia remains an independent risk factor (39), a debate was sparked (e9, e10) that led, among other things, to the initiation of two small observational studies (e11, e12). They explored the safety of the blood glucose target range of 10–14 mmol/L (180–252 mg/dl) for critically ill diabetic patients. This produced no indication of a deterioration of the clinical outcome, so Luethi et al. followed this with a larger prospective cohort study involving 750 critically ill diabetic patients. A conventional phase of glucose control (insulin when blood glucose levels >10 mmol/L [>180 mg/dL], target range: 6–10 mmol/L [108–180 mg/dL]) was compared with a liberal phase (insulin when blood glucose levels >14 mmol/L [252 mg/dL], target range 10–14 mmol/L [180–252 mg/dL]) (e13). The overall evaluation revealed non-significantly reduced hypoglycemic events (8.6 % versus 6.6 %, p = 0.32) with liberal glucose control. When only patients with an HbA1c >7% were analyzed, the effect was more pronounced with liberal blood sugar control (9.6% versus 4.1%, p = 0.053). The other clinical outcomes did not differ between liberal and conventional blood sugar control (30-day mortality: 11.1% versus 14%, p = 0.25; hours of mechanical ventilation: 16 hrs. versus 19 hrs., p = 0.3).

One argument against higher target ranges is the positive effect of IIT on the reduction of perioperative, potentially life-threatening (when septic), wound infections (e14). Against this background, a meta-analysis evaluating data from 15 RCTs compared strict (<6.1 mmol/L [<110 mg/dL]) and moderately strict glucose control (6.1–8.3 mmol/L [110–149 mg/dL]) in a total of 1442 patients with conventional glucose control (<12.2 mmol/L [<220 mg/dL]) in 1394 patients (e6). Twelve of the evaluated studies included patients with and without diabetes, and four included only diabetic patients; four studies investigated deep wound infections, two studies investigated sternal wound infections, all others investigated wound infections of any type. Compared with the conventional strategy, the risk of developing wound infections was reduced under strict (OR: 0.5; [0.35; 0.73]) and moderately strict (OR: 0.27; [0.09; 0.78]) control. In the four studies which only included diabetic patients, an NNT between 8 and 12 was demonstrated when comparing strict and moderately strict with conventional treatment protocol for avoiding wound infection. The NNH was between 2 and 19 for additionally induced hypoglycemia in the strict treatment protocol.

Garg et al. examined the effect of preoperative diabetes management in patients with diabetes with the aim of achieving blood glucose levels <11.1 mmol/L (<200 mg/dL) on the day of elective surgery (e15). Over a period of 24 months, a proactive diabetes management program was conducted in 1835 diabetic patients for an average of 7.5 days before surgery, depending on their metabolic status (criteria included an HbA1c >8%). Their mean age was 64.3 years, their mean HbA1c level 7.1 %. The investigation included 2074 diabetic patients who had been treated two years previously and whose epidemiological characteristics did not differ significantly from those of the observational group. The following parameters were lowered in the group with the diabetes management program:

  • fasting blood glucose on the day of surgery (8.1 versus 7.7 mmol/L [146 versus 139 mg/dL], p = 0.0028)
  • mean blood glucose during hospital stay (9.2 versus 8.8 mmol/L [166 versus 158 mg/dL], p <0.0001)
  • hypoglycemia rate (4.93 versus 2.48%, p = 0.004)
  • length of hospital stay (4.78 versus 4.62 days, p = 0.02)
  • intravenous administration of antibiotics (23.7 versus 20.2 days, p = 0.001).

Rates of in-hospital mortality, perioperative renal failure, stroke, myocardial infarction, and hospital readmissions did not differ significantly.

Optimizing treatment conditions

The large number and complexity of the study results show that optimized blood glucose monitoring cannot be achieved by initiating and modifying continuous intravenous insulin therapy alone. Table 2 provides an overview of other fundamental aspects of glycemic control in critically ill patients (for a more detailed presentation of the contents see eTable). Table 3 presents aspects of perioperative risk management for patients with a history of diabetes.

Key aspects that should be considered in the context of blood glucose monitoring in critically ill diabetics
Table 2
Key aspects that should be considered in the context of blood glucose monitoring in critically ill diabetics
Selected perioperative risk constellations in patients with diabetes
Table 3
Selected perioperative risk constellations in patients with diabetes
Supplement to key perioperative risk constellations in patients with diabetes
eTable
Supplement to key perioperative risk constellations in patients with diabetes

Conclusion

There is no level I evidence currently available which would justify glucose control below a target range of 7.8–10 mmol/L (141–180 mg/dL) for critically ill patients with diabetes. Recent studies suggest that high priority should also be given to individualizing treatment target ranges and avoiding relative and absolute hypoglycemia. Apart from insulin administration, nutrition therapy is an equally important pillar of glucose control. Australian observational studies provide evidence that liberal glucose control in ICU patients with diabetes has no negative impact on short-term mortality and morbidity. Further studies (LUCID trial [e35]) will have to show whether in the future standard intensive care will also include values between 10 and 14 mmol/L (180–252 mg/dL) for critically ill individuals with diabetes. Until then, and in accordance with the guidelines of the leading professional societies, the following should apply:

  • Insulin therapy should not be initiated until a level of 10 mmol/L (180 mg/dL).
  • A target range between 7.8 and 10 mmol/L (140–180 mg/dL) should be aimed for.
  • A blood glucose value of 15 mmol/L (270 mg/dL) is just as undesirable as a value of 3.8 mmol/L (68 mg/dL).

Conflict of interest statement: Prof. Birkenfeld received consultancy fees from Boehringer Ingelheim, AstraZeneca and NovoNordisk. He receives congress fees and travel cost reimbursement from Boehringer Ingelheim and AstraZeneca. He has received payments for lectures by Boehringer Ingelheim, AstraZeneca, NovoNordisk, Sanofi, Lilly. He has received study support (third-party funding) from Novartis.

The other authors declare that they have no conflicts of interest.

Manuscript received on 8 January 2021, revised version accepted on 20 April 2021

Translated from the original German by Dr. Grahame Larkin, MD

Corresponding author:

PD Dr. med. habil. Christian von Loeffelholz

Klinik für Anästhesiologie und Intensivmedizin

Universitätsklinikum der Friedrich-Schiller-Universität Jena

Am Klinikum 1, 07747 Jena

christian.von_loeffelholz@med.uni-jena.de

Cite this as:

Roth J, Sommerfeld O, Birkenfeld AL, Sponholz C, Müller UA, von Loeffelholz C: Blood sugar targets in surgical intensive care—management and special considerations in patients with diabetes. Dtsch Arztebl Int 2021; 118: 629–36. DOI: 10.3238/arztebl.m2021.0221

Supplementary material:

eReferences, eTable:
www.aerzteblatt.de/m2021.0221

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e1.
Seaquist ER, Anderson J, Childs B, et al.: Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society. J Clin Endocrinol Metab 2013; 98: 1845–59 CrossRef MEDLINE
e2.
Martín-Timón I, Del Cañizo-Gómez FJ: Mechanisms of hypoglycemia unawareness and implications in diabetic patients. World J Diabetes 2015; 10: 912–26 CrossRef MEDLINE PubMed Central
e3.
Adler GK, Bonyhay I, Failing H, et al.: Antecedent hypoglycemia impairs autonomic cardiovascular function: implications for rigorous glycemic control. Diabetes 2009; 58: 360–6 CrossRef MEDLINE PubMed Central
e4.
Zoungas S, Patel A, Chalmers J, et al.: ADVANCE Collaborative Group. Severe hypoglycemia and risks of vascular events and death. N Engl J Med 2010; 363: 1410–8 CrossRef MEDLINE
e5.
Van 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: 3151–9 CrossRef MEDLINE
e6.
de Vries FE, Gans SL, Solomkin JS, et al.: Meta-analysis of lower perioperative blood glucose target levels for reduction of surgical-site infection. Br J Surg 2017; 104: e95-e105 CrossRef MEDLINE
e7.
Singer P, Blaser AR, Berger MM, et al.: ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr 2019; 38: 48–79 CrossRef MEDLINE
e8.
Saliba L, Cook CH, Dungan KM, et al.: Medication-induced and spontaneous hypoglycemia carry the same risk for hospital mortality in critically ill patients. J Crit Care 2016; 36: 13–7 CrossRef MEDLINE
e9.
Egi M: Acute glycemic control in diabetics. How sweet is optimal? Con: Just as sweet as in nondiabetic is better. J Intensive Care 2018; 6: 70 CrossRef MEDLINE PubMed Central
e10.
Bellomo R: Acute glycemic control in diabetics. How sweet is optimal? Pro: Sweeter is better in diabetes. J Intensive Care 2018; 6: 71 CrossRef MEDLINE PubMed Central
e11.
Kar P, Plummer MP, Bellomo R, et al.: Liberal glycemic control in critically ill patients with type 2 diabetes: an exploratory study. Crit Care Med 2016; 44: 1695–1703 CrossRef MEDLINE
e12.
Di Muzio F, Presello B, Glassford NJ, et al.: Liberal versus conventional glucose targets in critically ill diabetic patients: an exploratory safety cohort assessment. Crit Care Med 2016; 44: 1683–91 CrossRef MEDLINE
e13.
Luethi N, Cioccari L, Biesenbach P, et al.: Liberal glucose control in ICU patients with diabetes: a before-and-after study. Crit Care Med 2018; 46: 935–42 CrossRef MEDLINE
e14.
Martin ET, Kaye KS, Knott C, et al.: Diabetes and risk of surgical site infection: a systematic review and metaanalysis. Infect Control Hosp Epidemiol 2016; 37: 88–99 CrossRef MEDLINE PubMed Central
e15.
Garg R, Schuman B, Bader A, et al.: Effect of preoperative diabetes management on glycemic control and clinical outcomes after elective surgery. Ann Surg 2018; 267: 858–62 CrossRef MEDLINE
e16.
Elke G, Hartl WH, Kreymann KG, et al.: Clinical nutrition in critical care medicine—guideline of the german society for nutritional medicine (DGEM). Clin Nutr ESPEN 2019; 33: 220–75 CrossRef MEDLINE
e17.
Hulkower RD, Pollack RM, Zonszein J: Understanding hypoglycemia in hospitalized patients. Diabetes Manag 2014; 2: 165–76 CrossRef MEDLINE PubMed Central
e18.
Vuppalanchi R, Chalasani N: Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: selected practical issues in their evaluation and management. Hepatology 2009; 49: 306–17 CrossRef MEDLINE PubMed Central
e19.
Younossi Z, Anstee QM, Marietti M, et al.: Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 2018; 15: 11–20 CrossRef MEDLINE
e20.
Mundi MS, Nystrom EM, Hurley DL, et al.: Management of parenteral nutrition in hospitalized adult patients. JPEN J Parenter Enteral Nutr 2017; 41: 535–49 CrossRef MEDLINE
e21.
Hoppe S, von Loeffelholz C, Lock JF, et al.: Nonalcoholic steatohepatits and liver steatosis modify partial hepatectomy recovery. J Invest Surg 2015; 28: 24–31 CrossRef MEDLINE
e22.
Sommerfeld O, von Loeffelholz C, Diab M, et al.: Association between high dose catecholamine support and liver dysfunction following cardiac surgery. J Card Surg 2020; 35: 1228–36 CrossRef MEDLINE
e23.
Inoue S, Egi M, Kotani J, et al.: Accuracy of blood-glucose measurements using glucose meters and arterial blood gas analyzers in critically ill adult patients: systematic review. Crit Care 2013; 17: R48 CrossRef MEDLINE PubMed Central
e24.
Eerdekens GJ, Rex S, Mesotten D: Accuracy of blood glucose measurement and blood glucose targets. J Diabetes Sci Technol 2020; 14: 553–9 CrossRef MEDLINE PubMed Central
e25.
Krinsley JS, Chase JG, Gunst J, et al.: Continuous glucose monitoring in the ICU: clinical considerations and consensus. Crit Care 2017; 21: 197 CrossRef MEDLINE PubMed Central
e26.
Mathioudakis NN, Abusamaan MS, Shakarchi AF, et al.: Development and validation of a machine learning model to predict near-term risk of iatrogenic hypoglycemia in hospitalized patients. JAMA Netw Open 2021; 4: e2030913. CrossRef MEDLINE PubMed Central
e27.
Boom DT, Sechterberger MK, Rijkenberg S, et al.: Insulin treatment guided by subcutaneous continuous glucose monitoring compared to frequent point-of-care measurement in critically ill patients: a randomized controlled trial. Crit Care 2014; 18: 453 CrossRef MEDLINE PubMed Central
e28.
Rijkenberg S, van Steen SC, DeVries JH, et al.: Accuracy and reliability of a subcutaneous continuous glucose monitoring device in critically ill patients. J Clin Monit Comput 2018; 32: 953–64 CrossRef MEDLINE
e29.
Freckmann G, Pleus S, Grady M, et al.: Measures of accuracy for continuous glucose monitoring and blood glucose monitoring devices. J Diabetes Sci Technol 2019; 13: 575–83 CrossRef MEDLINE PubMed Central
e30.
Agarwal S, Mathew J, Davis GM, et al.: Continuous glucose monitoring in the intensive care unit during the COVID-19 pandemic. Diabetes Care 2021; 44: 847–9 CrossRef MEDLINE PubMed Central
e31.
Gunst J, Van den Berghe G: Blood glucose control in the intensive care unit: benefits and risks. Semin Dial 2010; 23: 157–62 CrossRef PubMed Central
e32.
Gemeinsame Empfehlung der Deutschen Gesellschaft für Anästhesiologie und Intensivmedizin, der Deutschen Gesellschaft für Chirurgie und der Deutschen Gesellschaft für Innere Medizin: Präoperative Evaluation erwachsener Patienten vor elektiven, nicht herz-thoraxchirurgischen Eingriffen. Anästhesiol Intensivmed Notfallmed Schmerzther 2017; 52: 446–62 CrossRef MEDLINE
e33.
Gandhi GY, Nuttall GA, Abel MD, et al.: Intensive intraoperative insulin therapy versus conventional glucose management during cardiac surgery: a randomized trial. Ann Intern Med 2007; 146: 233–43 CrossRef MEDLINE
e34.
Simha V, Shah P: Perioperative glucose control in patients with diabetes undergoing elective surgery. JAMA 2019; 321: 399–400 CrossRef MEDLINE
e35.
Poole AP, Finnis ME, Anstey J, et al.: Study protocol and statistical analysis plan for the liberal glucose control in critically ill patients with pre-existing type 2 diabetes (LUCID) trial. Crit Care Resusc 2020; 22: 133–41.
e36.
Gunst J, De Bruyn A, Van den Berghe G: Glucose control in the ICU. Curr Opin Anaesthesiol 2019; 32: 156–62 CrossRef MEDLINE PubMed Central
e37.
Umpierrez GE, Pasquel FJ: Management of inpatient hyperglycemia and diabetes in older adults. Diabetes Care 2017; 40: 509–17 CrossRef MEDLINE PubMed Central
*The authors contributed equally to this paper.
Dept. for Anesthesiology and Intensive Care Medicine, University Hospital of the Friedrich-Schiller University Jena, Jena, Germany: Dr. Johannes Roth MD, Dr. Oliver Sommerfeld MD, University Lecturer Dr. Christoph Sponholz MD (habil), University Lecturer Dr. Christian von Loeffelholz MD (habil)
German Center for Diabetes Research (DZD), Neuherberg, Germany: Prof. Andreas L. Birkenfeld MD
King´s College London, Department of Diabetes, School of Life Course Science, London, UK: Prof. Andreas L. Birkenfeld MD
Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Germany: Prof. Andreas L. Birkenfeld MD
Division IV (Diabetology, Endocrinology, Nephrology) of the Department of Internal Medicine at the University Hospital Tübingen, Germany: Prof. Andreas L. Birkenfeld MD
Practice for Diabetology and Endocrinology, Dr. Kielstein, Outpatient Healthcare Center Erfurt, Jena: Prof. Ulrich A. Müller MD
Collaborators of the Interdisciplinary Diabetes and Nutrition in Operative Intensive Care Medicine Competence Group: Dr. Ansgar Raadts MD, Dr. Ingo Salzmann MD, Dr. Katja Leichenberg MD, Dr. Isabella Westermann MD, Prof. Michael Bauer MD.
Association between mortality and blood glucose levels for critically ill patients. With no pre-existing diabetes mellitus, the curve shows lowest mortality in the range of normal blood glucose levels. This point is displaced towards higher blood sugar levels in diabetic patients.
Figure 1
Association between mortality and blood glucose levels for critically ill patients. With no pre-existing diabetes mellitus, the curve shows lowest mortality in the range of normal blood glucose levels. This point is displaced towards higher blood sugar levels in diabetic patients.
Concept of stress-induced hyperglycemia with pre-existing diabetes. Insulin resistance and deficiency cause reduced glucose uptake at insulin-dependent organs, increased proteolysis and dyslipidemia (peripheral insulin resistance).
Figure 2
Concept of stress-induced hyperglycemia with pre-existing diabetes. Insulin resistance and deficiency cause reduced glucose uptake at insulin-dependent organs, increased proteolysis and dyslipidemia (peripheral insulin resistance).
Overview of the most important randomized controlled studies evaluating glycemic control of critically ill patients
Table 1
Overview of the most important randomized controlled studies evaluating glycemic control of critically ill patients
Key aspects that should be considered in the context of blood glucose monitoring in critically ill diabetics
Table 2
Key aspects that should be considered in the context of blood glucose monitoring in critically ill diabetics
Selected perioperative risk constellations in patients with diabetes
Table 3
Selected perioperative risk constellations in patients with diabetes
Supplement to key perioperative risk constellations in patients with diabetes
eTable
Supplement to key perioperative risk constellations in patients with diabetes
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e1.Seaquist ER, Anderson J, Childs B, et al.: Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society. J Clin Endocrinol Metab 2013; 98: 1845–59 CrossRef MEDLINE
e2.Martín-Timón I, Del Cañizo-Gómez FJ: Mechanisms of hypoglycemia unawareness and implications in diabetic patients. World J Diabetes 2015; 10: 912–26 CrossRef MEDLINE PubMed Central
e3.Adler GK, Bonyhay I, Failing H, et al.: Antecedent hypoglycemia impairs autonomic cardiovascular function: implications for rigorous glycemic control. Diabetes 2009; 58: 360–6 CrossRef MEDLINE PubMed Central
e4.Zoungas S, Patel A, Chalmers J, et al.: ADVANCE Collaborative Group. Severe hypoglycemia and risks of vascular events and death. N Engl J Med 2010; 363: 1410–8 CrossRef MEDLINE
e5.Van 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: 3151–9 CrossRef MEDLINE
e6.de Vries FE, Gans SL, Solomkin JS, et al.: Meta-analysis of lower perioperative blood glucose target levels for reduction of surgical-site infection. Br J Surg 2017; 104: e95-e105 CrossRef MEDLINE
e7.Singer P, Blaser AR, Berger MM, et al.: ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr 2019; 38: 48–79 CrossRef MEDLINE
e8.Saliba L, Cook CH, Dungan KM, et al.: Medication-induced and spontaneous hypoglycemia carry the same risk for hospital mortality in critically ill patients. J Crit Care 2016; 36: 13–7 CrossRef MEDLINE
e9.Egi M: Acute glycemic control in diabetics. How sweet is optimal? Con: Just as sweet as in nondiabetic is better. J Intensive Care 2018; 6: 70 CrossRef MEDLINE PubMed Central
e10.Bellomo R: Acute glycemic control in diabetics. How sweet is optimal? Pro: Sweeter is better in diabetes. J Intensive Care 2018; 6: 71 CrossRef MEDLINE PubMed Central
e11.Kar P, Plummer MP, Bellomo R, et al.: Liberal glycemic control in critically ill patients with type 2 diabetes: an exploratory study. Crit Care Med 2016; 44: 1695–1703 CrossRef MEDLINE
e12.Di Muzio F, Presello B, Glassford NJ, et al.: Liberal versus conventional glucose targets in critically ill diabetic patients: an exploratory safety cohort assessment. Crit Care Med 2016; 44: 1683–91 CrossRef MEDLINE
e13.Luethi N, Cioccari L, Biesenbach P, et al.: Liberal glucose control in ICU patients with diabetes: a before-and-after study. Crit Care Med 2018; 46: 935–42 CrossRef MEDLINE
e14.Martin ET, Kaye KS, Knott C, et al.: Diabetes and risk of surgical site infection: a systematic review and metaanalysis. Infect Control Hosp Epidemiol 2016; 37: 88–99 CrossRef MEDLINE PubMed Central
e15.Garg R, Schuman B, Bader A, et al.: Effect of preoperative diabetes management on glycemic control and clinical outcomes after elective surgery. Ann Surg 2018; 267: 858–62 CrossRef MEDLINE
e16.Elke G, Hartl WH, Kreymann KG, et al.: Clinical nutrition in critical care medicine—guideline of the german society for nutritional medicine (DGEM). Clin Nutr ESPEN 2019; 33: 220–75 CrossRef MEDLINE
e17.Hulkower RD, Pollack RM, Zonszein J: Understanding hypoglycemia in hospitalized patients. Diabetes Manag 2014; 2: 165–76 CrossRef MEDLINE PubMed Central
e18.Vuppalanchi R, Chalasani N: Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: selected practical issues in their evaluation and management. Hepatology 2009; 49: 306–17 CrossRef MEDLINE PubMed Central
e19.Younossi Z, Anstee QM, Marietti M, et al.: Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 2018; 15: 11–20 CrossRef MEDLINE
e20.Mundi MS, Nystrom EM, Hurley DL, et al.: Management of parenteral nutrition in hospitalized adult patients. JPEN J Parenter Enteral Nutr 2017; 41: 535–49 CrossRef MEDLINE
e21.Hoppe S, von Loeffelholz C, Lock JF, et al.: Nonalcoholic steatohepatits and liver steatosis modify partial hepatectomy recovery. J Invest Surg 2015; 28: 24–31 CrossRef MEDLINE
e22.Sommerfeld O, von Loeffelholz C, Diab M, et al.: Association between high dose catecholamine support and liver dysfunction following cardiac surgery. J Card Surg 2020; 35: 1228–36 CrossRef MEDLINE
e23.Inoue S, Egi M, Kotani J, et al.: Accuracy of blood-glucose measurements using glucose meters and arterial blood gas analyzers in critically ill adult patients: systematic review. Crit Care 2013; 17: R48 CrossRef MEDLINE PubMed Central
e24.Eerdekens GJ, Rex S, Mesotten D: Accuracy of blood glucose measurement and blood glucose targets. J Diabetes Sci Technol 2020; 14: 553–9 CrossRef MEDLINE PubMed Central
e25.Krinsley JS, Chase JG, Gunst J, et al.: Continuous glucose monitoring in the ICU: clinical considerations and consensus. Crit Care 2017; 21: 197 CrossRef MEDLINE PubMed Central
e26.Mathioudakis NN, Abusamaan MS, Shakarchi AF, et al.: Development and validation of a machine learning model to predict near-term risk of iatrogenic hypoglycemia in hospitalized patients. JAMA Netw Open 2021; 4: e2030913. CrossRef MEDLINE PubMed Central
e27.Boom DT, Sechterberger MK, Rijkenberg S, et al.: Insulin treatment guided by subcutaneous continuous glucose monitoring compared to frequent point-of-care measurement in critically ill patients: a randomized controlled trial. Crit Care 2014; 18: 453 CrossRef MEDLINE PubMed Central
e28.Rijkenberg S, van Steen SC, DeVries JH, et al.: Accuracy and reliability of a subcutaneous continuous glucose monitoring device in critically ill patients. J Clin Monit Comput 2018; 32: 953–64 CrossRef MEDLINE
e29.Freckmann G, Pleus S, Grady M, et al.: Measures of accuracy for continuous glucose monitoring and blood glucose monitoring devices. J Diabetes Sci Technol 2019; 13: 575–83 CrossRef MEDLINE PubMed Central
e30.Agarwal S, Mathew J, Davis GM, et al.: Continuous glucose monitoring in the intensive care unit during the COVID-19 pandemic. Diabetes Care 2021; 44: 847–9 CrossRef MEDLINE PubMed Central
e31.Gunst J, Van den Berghe G: Blood glucose control in the intensive care unit: benefits and risks. Semin Dial 2010; 23: 157–62 CrossRef PubMed Central
e32.Gemeinsame Empfehlung der Deutschen Gesellschaft für Anästhesiologie und Intensivmedizin, der Deutschen Gesellschaft für Chirurgie und der Deutschen Gesellschaft für Innere Medizin: Präoperative Evaluation erwachsener Patienten vor elektiven, nicht herz-thoraxchirurgischen Eingriffen. Anästhesiol Intensivmed Notfallmed Schmerzther 2017; 52: 446–62 CrossRef MEDLINE
e33.Gandhi GY, Nuttall GA, Abel MD, et al.: Intensive intraoperative insulin therapy versus conventional glucose management during cardiac surgery: a randomized trial. Ann Intern Med 2007; 146: 233–43 CrossRef MEDLINE
e34.Simha V, Shah P: Perioperative glucose control in patients with diabetes undergoing elective surgery. JAMA 2019; 321: 399–400 CrossRef MEDLINE
e35.Poole AP, Finnis ME, Anstey J, et al.: Study protocol and statistical analysis plan for the liberal glucose control in critically ill patients with pre-existing type 2 diabetes (LUCID) trial. Crit Care Resusc 2020; 22: 133–41.
e36.Gunst J, De Bruyn A, Van den Berghe G: Glucose control in the ICU. Curr Opin Anaesthesiol 2019; 32: 156–62 CrossRef MEDLINE PubMed Central
e37.Umpierrez GE, Pasquel FJ: Management of inpatient hyperglycemia and diabetes in older adults. Diabetes Care 2017; 40: 509–17 CrossRef MEDLINE PubMed Central