Minireviews Open Access
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Oct 15, 2021; 12(10): 1719-1730
Published online Oct 15, 2021. doi: 10.4239/wjd.v12.i10.1719
Glycemic targets in critically ill adults: A mini-review
Kay Choong See, Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore 119228, Singapore
ORCID number: Kay Choong See (0000-0003-2528-7282).
Author contributions: See KC collected the data and wrote the paper; See KC read and approved the final manuscript.
Conflict-of-interest statement: See KC has received honoraria from GE Healthcare and Medtronic, and has no other conflicts of interest to disclose.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Kay Choong See, FCCP, FRCP, MBBS, MRCP, Doctor, Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hos-pital, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228, Singapore. mdcskc@nus.edu.sg
Received: April 3, 2021
Peer-review started: April 3, 2021
First decision: June 5, 2021
Revised: June 6, 2021
Accepted: September 3, 2021
Article in press: September 3, 2021
Published online: October 15, 2021
Processing time: 192 Days and 16.9 Hours

Abstract

Illness-induced hyperglycemia impairs neutrophil function, increases pro-inflammatory cytokines, inhibits fibrinolysis, and promotes cellular damage. In turn, these mechanisms lead to pneumonia and surgical site infections, prolonged mechanical ventilation, prolonged hospitalization, and increased mortality. For optimal glucose control, blood glucose measurements need to be done accurately, frequently, and promptly. When choosing glycemic targets, one should keep the glycemic variability < 4 mmol/L and avoid targeting a lower limit of blood glucose < 4.4 mmol/L. The upper limit of blood glucose should be set according to casemix and the quality of glucose control. A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without diabetes mellitus, with traumatic brain injury, or who are at risk of surgical site infection. To avoid harm from hypoglycemia, strict adherence to glycemic control protocols and timely glucose measurements are required. In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with diabetes mellitus. These targets may be modified if technical advances for blood glucose measurement and control can be achieved.

Key Words: Brain injuries; Traumatic; Critical care; Diabetes mellitus; Glycemic control; Insulin infusion systems; Sepsis

Core Tip: A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without diabetes mellitus, or with traumatic brain injury, or who are postoperative and at risk of surgical site infection. Requirements for targeting a lower range and avoiding hypoglycemia would be availability of intensive glucose monitoring and management, strict adherence to glycemic control protocols, and strict adherence to timely glucose measurements. In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with diabetes mellitus.



INTRODUCTION

Illness-induced hyperglycemia can be a double-edged sword. On the one hand, it may be an adaptive response to provide extra metabolic substrate to organs like the brain and to blood cells[1]. On the other hand, hyperglycemia impairs neutrophil function and innate immunity, increases pro-inflammatory cytokines and oxidative stress[2,3], inhibits fibrinolysis[4], and promotes cellular damage[1]. In addition, hyperglycemia in brain-injured patients can lead to microcirculatory damage, blood-brain barrier disruption, and cellular swelling[5]. These pathological derangements potentially lead to complications such as pneumonia and surgical site infections, prolonged mechanical ventilation, increased intensive care unit (ICU) and hospital lengths of stay, and increased mortality.

Unlike hyperglycemia, hypoglycemia is always harmful. For example, hypogly-cemia was independently associated with respiratory complications and prolonged ICU and hospital lengths of stay after cardiac surgery[6]. These adverse events may be mediated by hypoglycemia-related neuronal damage and cardiac arrhythmia[7]. Apart from the clear need to avoid blood glucose extremes, there is also a need to avoid excessive blood glucose fluctuations[8], which can be measured in various ways (Table 1). The simplest measure of blood glucose fluctuation is glycemic variability, which is the difference between the maximum and minimum blood glucose measured over a defined time interval. At the cellular level, glycemic variability has been associated with oxidative stress, endothelial dysfunction, and apoptosis[7]. Clinically, glycemic variability has been linked to increased ICU and hospital mortality[9,10].

Table 1 Types of glycemic targets in intensive care unit.
Glycemic target
Unit
Definition
Glucosemmol/LConcentration of glucose in blood or plasma. To convert to mg/dL, multiply by 18, i.e., 1 mmol/L = 18 mg/dL
COV%Coefficient of variation, a measure of glucose variability. COV = standard deviation divided by mean glucose × 100%
GGmmol/LGlycemic gap. GG = blood glucose - [(1.59 × HbA1c) - 2.59], HbA1c being used to estimate average glucose concentration over the prior 3 mo
Glucose variabilitymmol/LMaximum – minimum glucose in a given time period
SHRNilStress hyperglycemia ratio. SHR = plasma glucose divided by [(1.59 × HbA1c)–2.59], HbA1c being used to estimate average glucose concentration over the prior 3 mo

Blood glucose measurements need to be done accurately, frequently, and promptly[11]. Ideally, blood glucose measurements should be done continuously, though continuous glucose monitoring (CGM) for critically ill patients may not be accurate enough, with wide limits of agreement despite small mean bias[12]. CGM appears unreliable when using minimally-invasive subcutaneous devices that assay interstitial glucose measurements[13-15], and does not seem to improve glucose control[16]. Although invasive (intravascular) CGM devices may have an acceptable accuracy, some drawbacks include vascular and infectious complications (thrombosis, catheter occlusion, biofilm formation, or intravascular catheter-related infection)[17,18].

Accuracy and variation of glucose measurement methods influence the feasibility and adherence to glycemic targets[19]. In the real world, a variety of blood samples (arterial, venous, and capillary) are assayed intermittently, using both point-of-care and laboratory methods[20,21], and managed using various protocols. Nonetheless, despite such variation, clinical utility of current glucose measurement systems seems adequate, with little evidence of over or under-treatment[22]. Additionally, to achieve optimal clinical outcomes, blood glucose should be lowered if it were to rise too high, blood glucose should not be allowed to dip too low, and blood glucose variability should be constrained.

To determine clinically optimal glycemic targets for critically ill adult patients, the key questions would therefore be as follows: (1) What should the hyperglycemic threshold be; (2) What should the hypoglycemic threshold be; and (3) How far apart should these thresholds be? This review aims to integrate empirical evidence to answer these questions, and to suggest practical recommendations for choosing glycemic targets.

EMPIRICAL EVIDENCE FOR GLYCEMIC THRESHOLDS IN ICU

Several trials are inconclusive with respect to intensive (lower) vs conventional (higher) glycemic targets, which may be due to insufficient separation of achieved glucose levels between the intervention and control groups[23-25]. Another reason could be that the impact of glucose control was modified by the main diagnosis (i.e., casemix). In terms of the hyperglycemic threshold, the blood glucose level beyond which clinical complications occur seems to differ by casemix (Table 2). Patients without diabetes mellitus (DM)[26], patients with traumatic brain injury (TBI), and post-surgical patients at risk of wound infection experience adverse effects of hyperglycemia at a relatively low range, with the threshold set at 6.7-8.3 mmol/L[27-30].

Table 2 Glycemic targets in intensive care unit by casemix and thresholds.
Casemix
Blood sample
Method
Glycemic target
Evidence
BurnsNot statedNot statedGlucose > 7.8 mmol/LIncreased pneumonia, ventilator-associated pneumonia, and urinary tract infection; Obs[72]
CardiacNot statedNot statedGlucose 4.4-6.1 mmol/LDecreased 30-d mortality compared to glucose 5-7.8 mmol/L; Obs[73]
DMNot statedPortable glucometer, blood gas analyzerGlucose < 14 mmol/LDecreased glycemic variability and incident hypoglycemia; before-and-after study[35]
DMArterial, venousBlood gas analyzerGlucose 10-14 mmol/LDecreased incident hypoglycemia; before-and-after study[74]. No increased risk of hospital-acquired infectious, cardiovascular, renal or neurological complications; before-and-after study[75]
DMNot statedPortable glucometerGlucose 5.6-7.8 mmol/LDecreased complications (infection, cardiac events, respiratory failure, kidney failure) after coronary artery bypass graft surgery compared to glucose 7.8-10 mmol/L; RCT[34]
DMNot statedPortable glucometerGlucose 5-7.8 mmol/LDecreased 30-day mortality compared to glucose 4.4-6.1 mmol/L; Obs[76]
MedicalCapillaryPortable glucometerGlucose > 7 mmol/LIncreased ICU mortality; Obs[77]
Medical-surgicalArterialPoint-of-care or blood gas or laboratory analyzersGlucose 8-10 mmol/LDecreased 90-d mortality and incident severe hypoglycemia compared to glucose 4.5-6.0 mmol/L; RCT[31]
Medical-surgicalNot statedPortable glucometerGlucose 4.4-6.1 mmol/LDecreased 30-d mortality compared to glucose 5-7.8 mmol/L in patients without DM; Obs[76]
Medical-surgicalArterialPoint-of-care or blood gas or laboratory analyzersGlucose 4.4-6.1 mmol/LIncreased incident severe hypoglycemia compared to more liberal control (95%CI of glucose -7.8-9.4) mmol/L; RCT[78]
Medical-surgicalArterial, capillaryGlucometerGlucose 10-11.1 mmol/LDecreased incident severe hypoglycemia compared to glucose 4.4-6.1 mmol/L; RCT[46]
Medical-surgicalArterial, capillary, venousGlucometer or blood gas analyzerGlucose 7.8-10 mmol/LDecreased incident severe hypoglycemia compared to glucose 4.4-6.1 mmol/L; RCT[79]
Medical-surgicalArterialPortable glucometerGlucose 7-9 mmol/LDecreased ICU mortality compared to out-of-range glucose; Obs[80]
Medical-surgicalArterial, capillaryGlucometer or blood gas analyzerGlucose < 10 mmol/LDecreased incident severe hypoglycemia compared to glucose 4.4-6.1 mmol/L; RCT[31,81]
Medical-surgicalArterialGlucometerGlucose < 8 mmol/LDecreased ICU mortality compared to higher glucose levels; Obs[82]
Medical-surgicalArterialBlood gas analyzerGlucose > 8.3 mmol/LIncreased ICU mortality compared to glucose 6.1-8.3; Obs[83]
Medical-surgicalArterial, capillaryGlucometerGlucose < 8.2 mmol/LDecreased ICU mortality compared to higher glucose levels; Obs[84]
Medical-surgicalArterial, venousGlucometerGlucose 4.4-7.8 mmol/LDecreased ICU and hospital mortality compared to glucose 7.8-10 mmol/L in patients without DM; Obs[26]
Medical-surgicalNot statedGlucometerGlucose 3.9-7.8 mmol/LTime in range associated with decreased ICU mortality in patients without DM; Obs[85]; Time in range associated with decreased ICU mortality in patients receiving insulin; Obs[86]
Medical-surgicalVenousLaboratoryLow SHR < 1Decreased hospital mortality compared to SHR > 1 regardless of baseline HbA1c; Obs[87]
Post-CACapillary, venousNot statedGlucose 3.9-7.8 mmol/LHigher survival, compared to higher glucose levels; Obs[88]
Post-CANot statedNot statedGlucose 4-10 mmol/LBetter neurological recovery, compared to higher glucose levels; Obs[33]
SurgicalArterialBlood gas analyzerGlucose 4.4-6.1 mmol/LDecreased hospital mortality, blood stream infections, acute renal failure, blood transfusion, critical-illness polyneuropathy, prolonged mechanical ventilation, compared to glucose 10-11.1 mmol/L; RCT[42]
SurgicalNot statedNot statedGlucose 4.4-6.1 mmol/LDecreased post-operative renal failure and 30-d mortality compared to glucose > 8.3 mmol/L; Obs[89]
SurgicalArterial, capillary, venousGlucometer or blood gas analyzerGlucose 4.4-7.8 mmol/LDecreased hospital mortality compared to glucose >7.8 mmol/L; Obs[27]
SurgicalNot statedGlucometerGlucose 4-8 mmol/LDecreased surgical site infection after coronary artery bypass graft surgery compared to glucose 4-10 mmol/L; before-and-after study[28]
SurgicalArterial, venousContinuous sensor, in a closed-loop systemGlucose 4.4-6.1 mmol/LDecreased surgical site infection post- hepato-biliary-pancreatic surgery, compared to glucose 7.7-10.0 mmol/L; RCT[90]
SurgicalArterialBlood gas analyzerGlucose 6.7-8.9 mmol/LDecreased mortality compared to glucose 8.9-10 mmol/L; quasi-experimental (alternate allocation of participants)[91]
SurgicalCapillaryGlucometerGlucose 6.1-8.3 mmol/LDecreased surgical site infection and atrial fibrillation after coronary artery bypass graft surgery; before-and-after study[29]
TBIArterialBlood gas analyzerGlucose 3.5-6.5 mmol/LReduced intracranial hypertension and decreased rate of pneumonia, bacteremia and urinary tract infections during 2nd week, compared to glucose 5-8 mmol/L; Obs[5]
TBINot statedNot statedGlucose 4.4-6.7 mmol/LDecreased risk of poor neurological outcomes but increased risk of hypoglycemia, and no mortality benefit, compared to higher glucose targets; systematic review of RCT[30]
TBIArterialPoint-of-care or blood gas or laboratory analyzersGlucose 8-10 mmol/LDecreased incident severe hypoglycemia, but no mortality benefit, compared to glucose 4.5-6.0 mmol/L; RCT[92]
TBINot statedNot statedGlucose < 11.1 mmol/LDecreased hospital mortality compared to glucose > 11.1 mmol/L; Obs[93]
TraumaArterial, capillary, venousPoint-of-care or laboratory analyzersGlucose < 7.8 mmol/LDecreased ICU mortality compared to glucose > 7.8 mmol/L; Obs[94]
TraumaCapillaryNot statedGlucose < 10 mmol/LDecreased hospital mortality compared to glucose > 10 mmol/L; Obs[32]

The NICE-SUGAR trial showed that undifferentiated medical-surgical ICU patients had decreased 90-d mortality and incident hypoglycemia when the upper limit of blood glucose was set at 10 mmol/L rather than 6.1 mmol/L[31]. Patients who suffered non-TBI-specific injury[32] or who had post-cardiac arrest[33] also experienced better neurological recovery if blood glucose could be kept below 10 mmol/L.

Patients with prior DM were able to tolerate a higher mean blood glucose level (i.e., blood glucose level > 10 mmol/L) without excess complications during critical illness, although these patients benefited from lowering blood glucose below 7.8 mmol/L after coronary artery bypass surgery[34]. Chronic hyperglycemia may have compensatory mechanisms in place that provide protection from acute hyperglycemia-related cellular damage[2]. The upper limit of safety in patients with DM appears to be a blood glucose level of 14 mmol/L[35].

In contrast to the risk of hyperglycemia differing by casemix, the risks of hypoglycemia appear to affect a broad range of patients similarly. Severe hypoglycemia (< 2.2 mmol/L), moderate hypoglycemia (< 3.3 mmol/L), and even mild hypoglycemia (<4 mmol/L) have been associated with ICU and hospital mortality[36-39]. Targeting lower blood glucose levels resulted in higher rates of severe hypoglycemia[40,41], and no clinical trial has targeted a lower limit of blood glucose < 4.4 mmol/L. The NICE-SUGAR trial demonstrated that the risk of hypoglycemia can be mitigated by avoiding targeting blood glucose below 6.1 mmol/L[31]. Nonetheless, if intensive glucose monitoring and management resources are available, and if glycemic control protocols and timely glucose measurements can be strictly adhered to, the Leuven studies demonstrated advantages of targeting blood glucose below 6.1 mmol/L, with surgical patients deriving clearer survival benefit and morbidity reduction compared to medical patients[23,42].

EMPIRICAL EVIDENCE FOR MINIMIZING GLYCEMIC VARIABILITY IN ICU

In a multicenter observational study, Egi et al[43] first showed that ICU non-survivors had a wider spread of glucose values compared to ICU survivors. Specifically, the standard deviation of blood glucose values was 2.3 mmol/L in non-survivors compared to 1.3 mmol/L in survivors. The association between spread of blood glucose with hospital mortality persisted after controlling for confounders (hospital site, surgical patients, neurologic diseases, mechanical ventilation, acute physiological and chronic health evaluation II score, age, mean blood glucose level, maximum blood glucose level, and admission blood glucose level).

Subsequently, other observational studies have demonstrated that the difference between maximum and minimum blood glucose levels (i.e., glucose variability) should not exceed 4-6 mmol/L, regardless of casemix[10,44,45] (Table 3). In other words, glycemic target ranges should ideally be < 4 mmol/L in width. Such a narrow range seems to be achievable, given that both single-center and multi-center randomized trials using a variety of protocols have successfully constrained glucose levels within standard deviations of < 2 mmol/L[23,31,42,46].

Table 3 Glycemic targets in intensive care unit by casemix and variability.
Casemix
Blood sample
Method
Glycemic target
Evidence
Medical-surgicalArterial, venousGlucometerGlucose variability (COV ≥ 20%)Increased ICU and hospital mortality in patients without DM; Obs[26]
Medical-surgicalArterial, capillaryGlucometer or blood gas analyzerGlucose variability > 6 mmol/LIncreased ICU and hospital mortality; Obs[44]
Medical-surgicalArterialGlucometer or blood gas analyzerGlucose variability > 4 mmol/LIncreased hospital mortality; Obs[10]
Post-CAArterialBlood gas analyzerGlucose variability < 5 mmol/LDecreased hypoglycemia and mortality; Obs[45]
Post-CANot statedNot statedGG-min < 3.9 mmol/LBetter neurological recovery; Obs[95]
CHOOSING LOWER VS HIGHER GLYCEMIC TARGET RANGES

To minimize patient harm, empirical evidence suggests that when choosing glycemic targets, one should keep the glycemic variability < 4 mmol/L and avoid targeting a lower limit of blood glucose < 4.4 mmol/L. The upper limit of blood glucose should then be set according to casemix and the quality of glucose control.

A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without DM, with TBI, or who are postoperative and at risk of surgical site infection. Requirements for targeting a lower range and avoiding harm from hypoglycemia would be availability of intensive glucose monitoring and management, strict adherence to glycemic control protocols, and strict adherence to timely glucose measurements (Table 4).

Table 4 Choosing lower vs higher glycemic target ranges.
Glycemic target range
Considerations favoring choice of glycemic target range
Lower glycemic target range (i.e., glucose 4.5-7.8 mmol/L)(1) Patients without DM; (2) Patients with TBI; (3) Post-surgical patients at risk of surgical site infections; (4) Availability of intensive glucose monitoring and management; (5) Strict adherence to glycemic control protocols; and (6) Strict adherence to timely glucose measurements
Higher glycemic target range (i.e., glucose 7.8-10 mmol/L)(1) Default choice for most patients; (2) Patients with DM; (3) Lack of intensive glucose monitoring and management; (4) Less than strict adherence to glycemic control protocols; and (5) Less than strict adherence to timely glucose measurements

In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with DM. Additionally, a higher range would be favored if conditions to avoid hypoglycemia cannot be strictly met, i.e., lack of intensive glucose monitoring and management, less than strict adherence to glycemic control protocols, and less than strict adherence to timely glucose measurements.

This review’s recommendations are in line with current guidelines (Table 5). For hospitalized patients in general, the American Diabetes Association recommends a glycemic target range of 7.8-10 mmol/L[47]. The same glycemic range is recom-mended for post-resuscitation care of cardiac arrest patients by the European Resuscitation Council[48]. For sepsis patients, the Surviving Sepsis Campaign recommends an upper blood glucose limit of 10 mmol/L[49]. Both the American Diabetes Association and Surviving Sepsis Campaign guidelines mention that lower targets may be appropriate for selected patients if they can be achieved without significant hypoglycemia[47,49].

Table 5 Selected guideline recommendations.
Casemix
Guideline (Year)
Recommended glycemic target range
Medical-SurgicalAmerican Diabetes Association: Diabetes Care in the Hospital (2021)[47]7.8-10 mmol/L. Lower targets may be appropriate for selected patients if they can be achieved without significant hypoglycemia
Post-CAEuropean Resuscitation Council and European Society of Intensive Care Medicine guidelines (2021)[48]7.8-10 mmol/L
SepsisSurviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock (2016)[49]< 10 mmol/L and avoid hypoglycemia. Lower targets may be appropriate for selected patients if they can be achieved without significant hypoglycemia
SurgicalWHO recommendations on intraoperative and postoperative measures for surgical site infection prevention: an evidence-based global perspective (2016)[50]Unable to define target range, though glucose control protocols recommended
TBIBrain Trauma Foundation’s Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition (2016)[51]No recommendation

Other guidelines have made less definite recommendations. For surgical patients, the World Health Organization recommends glucose control, though no target range was defined[50]. For patients with TBI, the Brain Trauma Foundation does not mention glycemic control[51]. The findings and recommendations from this review can therefore help fill any gaps in these latter guidelines.

FUTURE DIRECTIONS

To increase the safety of lower glycemic targets, technical advances for blood glucose measurement and control would help. Autocorrecting point-of-care glucose measurement devices can adjust for interfering substances (e.g., ascorbic acid and non-glucose sugars) and abnormal hematocrit in critically ill patients[52], enabling these devices to become as accurate as central laboratory plasma glucose measurements. Monte Carlo simulation suggests that glycemic control in critically ill patients is optimal with a blood glucose measurement interval no longer than 1 h, with incremental benefit using shorter measurement intervals of 15 min[53]. This means that devices that can continuously assay blood glucose would be needed. More accurate and frequent blood glucose measurements can feed into automated and closed-loop glycemic control systems[54-62]. For instance, even when targeting a lower range of 4.4-8.3 mmol/L, one such system limited severe hypoglycemic episodes to only 0.01% of all blood glucose measurements and 0.8% of patients[59].

Optimization of glucose control protocols with respect to the following aspects may also be investigated: (1) Addition of bolus insulin "mid-protocol" during an insulin infusion to reduce peak insulin rates for insulin-resistant patients[63]; (2) transition of insulin administration route from intravenous to subcutaneous[64], and (3) use of DM-specific enteral formula for both DM and non-DM patients[65-67].

Given the influence of casemix on the optimal glycemic target range, further work may be done to personalize recommendations for various conditions[68]. For patients with DM, it remains unclear if the upper limit of blood glucose can be safely pushed beyond 10 mmol/L[69], given the risk of ketoacidosis or ketonemia[70]. To address this uncertainty, the LUCID trial will investigate if liberal blood glucose (target 10.0-14.0 mmol/L) will result in less incident hypoglycemia compared to usual care (target 6.0-10.0 mmol/L), while maintaining good clinical outcomes[71].

CONCLUSION

When choosing glycemic targets, one should keep the glycemic variability < 4 mmol/L and avoid targeting a lower limit of blood glucose < 4.4 mmol/L. The upper limit of blood glucose should be set according to casemix and the quality of glucose control. A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without diabetes mellitus, with traumatic brain injury, or who are at risk of surgical site infection. To avoid harm from hypoglycemia, strict adherence to glycemic control protocols and timely glucose measurements are required. In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with diabetes mellitus. These targets may be modified if technical advances for blood glucose measurement and control can be achieved.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Endocrinology and metabolism

Country/Territory of origin: Singapore

Peer-review report’s scientific quality classification

Grade A (Excellent): A

Grade B (Very good): 0

Grade C (Good): C

Grade D (Fair): 0

Grade E (Poor): 0

P-Reviewer: Bilic Curcic I, Patoulias D S-Editor: Ma YJ L-Editor: Wang TQ P-Editor: Yu HG

References
1.  Van den Berghe G, Schetz M, Vlasselaers D, Hermans G, Wilmer A, Bouillon R, Mesotten D. Clinical review: Intensive insulin therapy in critically ill patients: NICE-SUGAR or Leuven blood glucose target? J Clin Endocrinol Metab. 2009;94:3163-3170.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 168]  [Cited by in F6Publishing: 175]  [Article Influence: 11.7]  [Reference Citation Analysis (0)]
2.  Honiden S, Inzucchi SE. Metabolic Management during Critical Illness: Glycemic Control in the ICU. Semin Respir Crit Care Med. 2015;36:859-869.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 17]  [Cited by in F6Publishing: 19]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
3.  Avanzini F, Mafrici A, Riva E, Franzosi MG, Milani V, Giudici V, Marelli G, Mariani G, Piatti PM, Roncaglioni MC; GLICINE-SPIDER Collaborative Group. A multicenter observational study on the management of hyperglycemia in patients with acute coronary syndrome. Nutr Metab Cardiovasc Dis. 2015;25:916-923.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 5]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
4.  Savioli M, Cugno M, Polli F, Taccone P, Bellani G, Spanu P, Pesenti A, Iapichino G, Gattinoni L. Tight glycemic control may favor fibrinolysis in patients with sepsis. Crit Care Med. 2009;37:424-431.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 36]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
5.  Meier R, Béchir M, Ludwig S, Sommerfeld J, Keel M, Steiger P, Stocker R, Stover JF. Differential temporal profile of lowered blood glucose levels (3.5 to 6.5 mmol/L vs 5 to 8 mmol/L) in patients with severe traumatic brain injury. Crit Care. 2008;12:R98.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 44]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
6.  Stamou SC, Nussbaum M, Carew JD, Dunn K, Skipper E, Robicsek F, Lobdell KW. Hypoglycemia with intensive insulin therapy after cardiac surgery: predisposing factors and association with mortality. J Thorac Cardiovasc Surg. 2011;142:166-173.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 28]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
7.  Tickoo M. The Long and Winding Road to Personalized Glycemic Control in the Intensive Care Unit. Semin Respir Crit Care Med. 2019;40:571-579.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 3]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
8.  Liu WY, Lin SG, Zhu GQ, Poucke SV, Braddock M, Zhang Z, Mao Z, Shen FX, Zheng MH. Establishment and Validation of GV-SAPS II Scoring System for Non-Diabetic Critically Ill Patients. PLoS One. 2016;11:e0166085.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 9]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
9.  Hermanides J, Vriesendorp TM, Bosman RJ, Zandstra DF, Hoekstra JB, Devries JH. Glucose variability is associated with intensive care unit mortality. Crit Care Med. 2010;38:838-842.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 296]  [Cited by in F6Publishing: 312]  [Article Influence: 22.3]  [Reference Citation Analysis (0)]
10.  Meyfroidt G, Keenan DM, Wang X, Wouters PJ, Veldhuis JD, Van den Berghe G. Dynamic characteristics of blood glucose time series during the course of critical illness: effects of intensive insulin therapy and relative association with mortality. Crit Care Med. 2010;38:1021-1029.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 145]  [Cited by in F6Publishing: 143]  [Article Influence: 10.2]  [Reference Citation Analysis (0)]
11.  Juneja R, Roudebush CP, Nasraway SA, Golas AA, Jacobi J, Carroll J, Nelson D, Abad VJ, Flanders SJ. Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time. Crit Care. 2009;13:R163.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 60]  [Cited by in F6Publishing: 65]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
12.  Sadhu AR, Serrano IA, Xu J, Nisar T, Lucier J, Pandya AR, Patham B. Continuous Glucose Monitoring in Critically Ill Patients With COVID-19: Results of an Emergent Pilot Study. J Diabetes Sci Technol. 2020;14:1065-1073.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 37]  [Cited by in F6Publishing: 41]  [Article Influence: 10.3]  [Reference Citation Analysis (0)]
13.  Gottschalk A, Welp HA, Leser L, Lanckohr C, Wempe C, Ellger B. Continuous Glucose Monitoring in Patients Undergoing Extracorporeal Ventricular Assist Therapy. PLoS One. 2016;11:e0148778.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 11]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
14.  Wollersheim T, Engelhardt LJ, Pachulla J, Moergeli R, Koch S, Spies C, Hiesmayr M, Weber-Carstens S. Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial. Ann Intensive Care. 2016;6:70.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 23]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
15.  Punke MA, Decker C, Petzoldt M, Reuter DA, Wodack KH, Reichenspurner H, Kubik M, Kluge S. Head-to-head comparison of two continuous glucose monitoring systems on a cardio-surgical ICU. J Clin Monit Comput. 2019;33:895-901.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 4]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
16.  De Block CE, Gios J, Verheyen N, Manuel-y-Keenoy B, Rogiers P, Jorens PG, Scuffi C, Van Gaal LF. Randomized Evaluation of Glycemic Control in the Medical Intensive Care Unit Using Real-Time Continuous Glucose Monitoring (REGIMEN Trial). Diabetes Technol Ther. 2015;17:889-898.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 29]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
17.  Galindo RJ, Umpierrez GE, Rushakoff RJ, Basu A, Lohnes S, Nichols JH, Spanakis EK, Espinoza J, Palermo NE, Awadjie DG, Bak L, Buckingham B, Cook CB, Freckmann G, Heinemann L, Hovorka R, Mathioudakis N, Newman T, O'Neal DN, Rickert M, Sacks DB, Seley JJ, Wallia A, Shang T, Zhang JY, Han J, Klonoff DC. Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline. J Diabetes Sci Technol. 2020;14:1035-1064.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 46]  [Cited by in F6Publishing: 82]  [Article Influence: 20.5]  [Reference Citation Analysis (0)]
18.  van Steen SC, Rijkenberg S, Limpens J, van der Voort PH, Hermanides J, DeVries JH. The Clinical Benefits and Accuracy of Continuous Glucose Monitoring Systems in Critically Ill Patients-A Systematic Scoping Review. Sensors (Basel). 2017;17.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 31]  [Cited by in F6Publishing: 34]  [Article Influence: 4.9]  [Reference Citation Analysis (0)]
19.  Eerdekens GJ, Rex S, Mesotten D. Accuracy of Blood Glucose Measurement and Blood Glucose Targets. J Diabetes Sci Technol. 2020;14:553-559.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 14]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
20.  Le HT, Harris NS, Estilong AJ, Olson A, Rice MJ. Blood glucose measurement in the intensive care unit: what is the best method? J Diabetes Sci Technol. 2013;7:489-499.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 25]  [Article Influence: 2.3]  [Reference Citation Analysis (1)]
21.  Liang Y, Wanderer J, Nichols JH, Klonoff D, Rice MJ. Blood Gas Analyzer Accuracy of Glucose Measurements. Mayo Clin Proc. 2017;92:1030-1041.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 20]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
22.  Garingarao CJ, Buenaluz-Sedurante M, Jimeno CA. Accuracy of point-of-care blood glucose measurements in critically ill patients in shock. J Diabetes Sci Technol. 2014;8:937-944.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 11]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
23.  Van den Berghe G, Wilmer A, Hermans G, Meersseman W, Wouters PJ, Milants I, Van Wijngaerden E, Bobbaers H, Bouillon R. Intensive insulin therapy in the medical ICU. N Engl J Med. 2006;354:449-461.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2633]  [Cited by in F6Publishing: 2364]  [Article Influence: 131.3]  [Reference Citation Analysis (0)]
24.  De La Rosa Gdel C, Donado JH, Restrepo AH, Quintero AM, González LG, Saldarriaga NE, Bedoya M, Toro JM, Velásquez JB, Valencia JC, Arango CM, Aleman PH, Vasquez EM, Chavarriaga JC, Yepes A, Pulido W, Cadavid CA; Grupo de Investigacion en Cuidado intensivo: GICI-HPTU. Strict glycaemic control in patients hospitalised in a mixed medical and surgical intensive care unit: a randomised clinical trial. Crit Care. 2008;12:R120.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 228]  [Cited by in F6Publishing: 223]  [Article Influence: 13.9]  [Reference Citation Analysis (0)]
25.  Arabi YM, Dabbagh OC, Tamim HM, Al-Shimemeri AA, Memish ZA, Haddad SH, Syed SJ, Giridhar HR, Rishu AH, Al-Daker MO, Kahoul SH, Britts RJ, Sakkijha MH. Intensive vs conventional insulin therapy: a randomized controlled trial in medical and surgical critically ill patients. Crit Care Med. 2008;36:3190-3197.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 328]  [Cited by in F6Publishing: 311]  [Article Influence: 19.4]  [Reference Citation Analysis (0)]
26.  Krinsley JS, Maurer P, Holewinski S, Hayes R, McComsey D, Umpierrez GE, Nasraway SA. Glucose Control, Diabetes Status, and Mortality in Critically Ill Patients: The Continuum From Intensive Care Unit Admission to Hospital Discharge. Mayo Clin Proc. 2017;92:1019-1029.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 44]  [Cited by in F6Publishing: 42]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
27.  Schlussel AT, Holt DB, Crawley EA, Lustik MB, Wade CE, Uyehara CF. Effects of hyperglycemia and continuous intravenous insulin on outcomes of surgical patients. J Surg Res. 2012;176:202-209.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 9]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
28.  Ng RR, Myat Oo A, Liu W, Tan TE, Ti LK, Chew ST. Changing glucose control target and risk of surgical site infection in a Southeast Asian population. J Thorac Cardiovasc Surg. 2015;149:323-328.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 13]  [Cited by in F6Publishing: 15]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
29.  Leibowitz G, Raizman E, Brezis M, Glaser B, Raz I, Shapira O. Effects of moderate intensity glycemic control after cardiac surgery. Ann Thorac Surg. 2010;90:1825-1832.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 37]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
30.  Hermanides J, Plummer MP, Finnis M, Deane AM, Coles JP, Menon DK. Glycaemic control targets after traumatic brain injury: a systematic review and meta-analysis. Crit Care. 2018;22:11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 46]  [Cited by in F6Publishing: 53]  [Article Influence: 8.8]  [Reference Citation Analysis (0)]
31.  NICE-SUGAR Study Investigators. , Finfer S, Chittock DR, Su SY, Blair D, Foster D, Dhingra V, Bellomo R, Cook D, Dodek P, Henderson WR, Hébert PC, Heritier S, Heyland DK, McArthur C, McDonald E, Mitchell I, Myburgh JA, Norton R, Potter J, Robinson BG, Ronco JJ. Intensive vs conventional glucose control in critically ill patients. N Engl J Med. 2009;360:1283-1297.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3409]  [Cited by in F6Publishing: 3106]  [Article Influence: 207.1]  [Reference Citation Analysis (0)]
32.  Kutcher ME, Pepper MB, Morabito D, Sunjaya D, Knudson MM, Cohen MJ. Finding the sweet spot: identification of optimal glucose levels in critically injured patients. J Trauma. 2011;71:1108-1114.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 15]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
33.  Borgquist O, Wise MP, Nielsen N, Al-Subaie N, Cranshaw J, Cronberg T, Glover G, Hassager C, Kjaergaard J, Kuiper M, Smid O, Walden A, Friberg H; TTM-Trial Investigators. Dysglycemia, Glycemic Variability, and Outcome After Cardiac Arrest and Temperature Management at 33°C and 36°C. Crit Care Med. 2017;45:1337-1343.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 26]  [Article Influence: 3.7]  [Reference Citation Analysis (0)]
34.  Umpierrez G, Cardona S, Pasquel F, Jacobs S, Peng L, Unigwe M, Newton CA, Smiley-Byrd D, Vellanki P, Halkos M, Puskas JD, Guyton RA, Thourani VH. Randomized Controlled Trial of Intensive Versus Conservative Glucose Control in Patients Undergoing Coronary Artery Bypass Graft Surgery: GLUCO-CABG Trial. Diabetes Care. 2015;38:1665-1672.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 170]  [Cited by in F6Publishing: 170]  [Article Influence: 18.9]  [Reference Citation Analysis (0)]
35.  Kar P, Plummer MP, Bellomo R, Jenkins AJ, Januszewski AS, Chapman MJ, Jones KL, Horowitz M, Deane AM. Liberal Glycemic Control in Critically Ill Patients With Type 2 Diabetes: An Exploratory Study. Crit Care Med. 2016;44:1695-1703.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 42]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
36.  NICE-SUGAR Study Investigators, Finfer S, Liu B, Chittock DR, Norton R, Myburgh JA, McArthur C, Mitchell I, Foster D, Dhingra V, Henderson WR, Ronco JJ, Bellomo R, Cook D, McDonald E, Dodek P, Hébert PC, Heyland DK, Robinson BG. Hypoglycemia and risk of death in critically ill patients. N Engl J Med. 2012;367:1108-1118.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 668]  [Cited by in F6Publishing: 637]  [Article Influence: 53.1]  [Reference Citation Analysis (0)]
37.  D'Ancona G, Bertuzzi F, Sacchi L, Pirone F, Stringi V, Arcadipane A, Bellazzi R, Pilato M. Iatrogenic hypoglycemia secondary to tight glucose control is an independent determinant for mortality and cardiac morbidity. Eur J Cardiothorac Surg. 2011;40:360-366.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 12]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
38.  Graffagnino C, Gurram AR, Kolls B, Olson DM. Intensive insulin therapy in the neurocritical care setting is associated with poor clinical outcomes. Neurocrit Care. 2010;13:307-312.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 34]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
39.  Durao MS, Marra AR, Moura DF, Almeida SM, Fernandes CJ, Akamine N, Hidal JT, Santos OF. Tight glucose control vs intermediate glucose control: a quasi-experimental study. Anaesth Intensive Care. 2010;38:467-473.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 8]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
40.  Yamada T, Shojima N, Noma H, Yamauchi T, Kadowaki T. Glycemic control, mortality, and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials. Intensive Care Med. 2017;43:1-15.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 78]  [Cited by in F6Publishing: 62]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
41.  Yatabe T, Inoue S, Sakaguchi M, Egi M. The optimal target for acute glycemic control in critically ill patients: a network meta-analysis. Intensive Care Med. 2017;43:16-28.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 52]  [Article Influence: 6.5]  [Reference Citation Analysis (0)]
42.  van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345:1359-1367.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7077]  [Cited by in F6Publishing: 6107]  [Article Influence: 265.5]  [Reference Citation Analysis (2)]
43.  Egi M, Bellomo R, Stachowski E, French CJ, Hart G. Variability of blood glucose concentration and short-term mortality in critically ill patients. Anesthesiology. 2006;105:244-252.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 595]  [Cited by in F6Publishing: 566]  [Article Influence: 31.4]  [Reference Citation Analysis (0)]
44.  Al-Dorzi HM, Tamim HM, Arabi YM. Glycaemic fluctuation predicts mortality in critically ill patients. Anaesth Intensive Care. 2010;38:695-702.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 32]  [Cited by in F6Publishing: 36]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
45.  Cueni-Villoz N, Devigili A, Delodder F, Cianferoni S, Feihl F, Rossetti AO, Eggimann P, Vincent JL, Taccone FS, Oddo M. Increased blood glucose variability during therapeutic hypothermia and outcome after cardiac arrest. Crit Care Med. 2011;39:2225-2231.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 82]  [Cited by in F6Publishing: 69]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
46.  Brunkhorst FM, Engel C, Bloos F, Meier-Hellmann A, Ragaller M, Weiler N, Moerer O, Gruendling M, Oppert M, Grond S, Olthoff D, Jaschinski U, John S, Rossaint R, Welte T, Schaefer M, Kern P, Kuhnt E, Kiehntopf M, Hartog C, Natanson C, Loeffler M, Reinhart K; German Competence Network Sepsis (SepNet). Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med. 2008;358:125-139.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2148]  [Cited by in F6Publishing: 1858]  [Article Influence: 116.1]  [Reference Citation Analysis (0)]
47.  American Diabetes Association. 15. Diabetes Care in the Hospital: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44:S211-S220.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 99]  [Cited by in F6Publishing: 111]  [Article Influence: 37.0]  [Reference Citation Analysis (0)]
48.  Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, Genbrugge C, Haywood K, Lilja G, Moulaert VRM, Nikolaou N, Olasveengen TM, Skrifvars MB, Taccone F, Soar J. European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care. Intensive Care Med. 2021;47:369-421.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 536]  [Cited by in F6Publishing: 489]  [Article Influence: 163.0]  [Reference Citation Analysis (0)]
49.  Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, Kumar A, Sevransky JE, Sprung CL, Nunnally ME, Rochwerg B, Rubenfeld GD, Angus DC, Annane D, Beale RJ, Bellinghan GJ, Bernard GR, Chiche JD, Coopersmith C, De Backer DP, French CJ, Fujishima S, Gerlach H, Hidalgo JL, Hollenberg SM, Jones AE, Karnad DR, Kleinpell RM, Koh Y, Lisboa TC, Machado FR, Marini JJ, Marshall JC, Mazuski JE, McIntyre LA, McLean AS, Mehta S, Moreno RP, Myburgh J, Navalesi P, Nishida O, Osborn TM, Perner A, Plunkett CM, Ranieri M, Schorr CA, Seckel MA, Seymour CW, Shieh L, Shukri KA, Simpson SQ, Singer M, Thompson BT, Townsend SR, Van der Poll T, Vincent JL, Wiersinga WJ, Zimmerman JL, Dellinger RP. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Crit Care Med. 2017;45:486-552.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1784]  [Cited by in F6Publishing: 1935]  [Article Influence: 276.4]  [Reference Citation Analysis (1)]
50.  Allegranzi B, Zayed B, Bischoff P, Kubilay NZ, de Jonge S, de Vries F, Gomes SM, Gans S, Wallert ED, Wu X, Abbas M, Boermeester MA, Dellinger EP, Egger M, Gastmeier P, Guirao X, Ren J, Pittet D, Solomkin JS; WHO Guidelines Development Group. New WHO recommendations on intraoperative and postoperative measures for surgical site infection prevention: an evidence-based global perspective. Lancet Infect Dis. 2016;16:e288-e303.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 414]  [Cited by in F6Publishing: 496]  [Article Influence: 62.0]  [Reference Citation Analysis (0)]
51.  Carney N, Totten AM, O'Reilly C, Ullman JS, Hawryluk GW, Bell MJ, Bratton SL, Chesnut R, Harris OA, Kissoon N, Rubiano AM, Shutter L, Tasker RC, Vavilala MS, Wilberger J, Wright DW, Ghajar J. Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition. Neurosurgery. 2017;80:6-15.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1786]  [Cited by in F6Publishing: 2010]  [Article Influence: 287.1]  [Reference Citation Analysis (1)]
52.  Tran NK, Godwin ZR, Steele AN, Wolf SE, Palmieri TL. Clinical Impact of Accurate Point-of-Care Glucose Monitoring for Tight Glycemic Control in Severely Burned Children. Pediatr Crit Care Med. 2016;17:e406-e412.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 15]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
53.  Krinsley JS, Bruns DE, Boyd JC. The impact of measurement frequency on the domains of glycemic control in the critically ill--a Monte Carlo simulation. J Diabetes Sci Technol. 2015;9:237-245.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 28]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
54.  Emamdjomeh AS, Warren JN, Harper CL, Olin JL. Impact of Initial eGlycemic Management System Dosing Strategy on Time to Target Blood Glucose Range. J Diabetes Sci Technol. 2021;15:242-250.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
55.  Shelden D, Ateya M, Jensen A, Arnold P, Bellomo T, Gianchandani R. Improving Hospital Glucometrics, Workflow, and Outcomes with a Computerized Intravenous Insulin Dose Calculator Built into the Electronic Health Record. J Diabetes Sci Technol. 2021;15:271-278.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 3]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
56.  Valk T, McMorrow C. Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care. SAGE Open Med. 2020;8:2050312120974174.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 5]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
57.  Salinas PD, Mendez CE. Glucose Management Technologies for the Critically Ill. J Diabetes Sci Technol. 2019;13:682-690.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 18]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
58.  Tamura T, Yatabe T, Namikawa T, Hanazaki K, Yokoyama M. Glucose control using a closed-loop device decreases inflammation after cardiovascular surgery without increasing hypoglycemia risk. J Artif Organs. 2019;22:154-159.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 8]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
59.  Blaha J, Barteczko-Grajek B, Berezowicz P, Charvat J, Chvojka J, Grau T, Holmgren J, Jaschinski U, Kopecky P, Manak J, Moehl M, Paddle J, Pasculli M, Petersson J, Petros S, Radrizzani D, Singh V, Starkopf J. Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study. BMC Anesthesiol. 2016;16:8.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 23]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
60.  Yatabe T, Yamazaki R, Kitagawa H, Okabayashi T, Yamashita K, Hanazaki K, Yokoyama M. The evaluation of the ability of closed-loop glycemic control device to maintain the blood glucose concentration in intensive care unit patients. Crit Care Med. 2011;39:575-578.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 53]  [Cited by in F6Publishing: 54]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
61.  Pachler C, Plank J, Weinhandl H, Chassin LJ, Wilinska ME, Kulnik R, Kaufmann P, Smolle KH, Pilger E, Pieber TR, Ellmerer M, Hovorka R. Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients. Intensive Care Med. 2008;34:1224-1230.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 66]  [Cited by in F6Publishing: 61]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
62.  Dortch MJ, Mowery NT, Ozdas A, Dossett L, Cao H, Collier B, Holder G, Miller RA, May AK. A computerized insulin infusion titration protocol improves glucose control with less hypoglycemia compared to a manual titration protocol in a trauma intensive care unit. JPEN J Parenter Enteral Nutr. 2008;32:18-27.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 64]  [Cited by in F6Publishing: 68]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
63.  Marvin MR, Inzucchi SE, Besterman BJ. Minimization of Hypoglycemia as an Adverse Event During Insulin Infusion: Further Refinement of the Yale Protocol. Diabetes Technol Ther. 2016;18:480-486.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 13]  [Cited by in F6Publishing: 13]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
64.  Weant KA, Ladha A. Conversion from continuous insulin infusions to subcutaneous insulin in critically ill patients. Ann Pharmacother. 2009;43:629-634.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 21]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
65.  Mesejo A, Montejo-González JC, Vaquerizo-Alonso C, Lobo-Tamer G, Zabarte-Martinez M, Herrero-Meseguer JI, Acosta-Escribano J, Blesa-Malpica A, Martinez-Lozano F. Diabetes-specific enteral nutrition formula in hyperglycemic, mechanically ventilated, critically ill patients: a prospective, open-label, blind-randomized, multicenter study. Crit Care. 2015;19:390.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 64]  [Article Influence: 7.1]  [Reference Citation Analysis (0)]
66.  van Steen SC, Rijkenberg S, Sechterberger MK, DeVries JH, van der Voort PHJ. Glycemic Effects of a Low-Carbohydrate Enteral Formula Compared With an Enteral Formula of Standard Composition in Critically Ill Patients: An Open-Label Randomized Controlled Clinical Trial. JPEN J Parenter Enteral Nutr. 2018;42:1035-1045.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 11]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
67.  Doola R, Deane AM, Tolcher DM, Presneill JJ, Barrett HL, Forbes JM, Todd AS, Okano S, Sturgess DJ. The effect of a low carbohydrate formula on glycaemia in critically ill enterally-fed adult patients with hyperglycaemia: A blinded randomised feasibility trial. Clin Nutr ESPEN. 2019;31:80-87.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 7]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
68.  Wang CH, Huang CH, Chang WT, Tsai MS, Yu PH, Wu YW, Chen WJ. Associations between blood glucose level and outcomes of adult in-hospital cardiac arrest: a retrospective cohort study. Cardiovasc Diabetol. 2016;15:118.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 14]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
69.  Plummer MP, Bellomo R, Cousins CE, Annink CE, Sundararajan K, Reddi BA, Raj JP, Chapman MJ, Horowitz M, Deane AM. Dysglycaemia in the critically ill and the interaction of chronic and acute glycaemia with mortality. Intensive Care Med. 2014;40:973-980.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 129]  [Cited by in F6Publishing: 147]  [Article Influence: 14.7]  [Reference Citation Analysis (0)]
70.  Luethi N, Cioccari L, Crisman M, Bellomo R, Eastwood GM, Mårtensson J. Prevalence of ketosis, ketonuria, and ketoacidosis during liberal glycemic control in critically ill patients with diabetes: an observational study. Crit Care. 2016;20:297.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 8]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
71.  Poole AP, Finnis ME, Anstey J, Bellomo R, Bihari S, Biradar V, Doherty S, Eastwood G, Finfer S, French CJ, Ghosh A, Heller S, Horowitz M, Kar P, Kruger PS, Maiden MJ, Mårtensson J, McArthur CJ, McGuinness SP, Secombe PJ, Tobin AE, Udy AA, Young PJ, Deane AM; LUCID Study Investigators;  ANZICS Clinical Trials Group. 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;22:133-141.  [PubMed]  [DOI]  [Cited in This Article: ]
72.  Hemmila MR, Taddonio MA, Arbabi S, Maggio PM, Wahl WL. Intensive insulin therapy is associated with reduced infectious complications in burn patients. Surgery. 2008;144:629-35; discussion 635.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 81]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
73.  Hersh AM, Hirshberg EL, Wilson EL, Orme JF, Morris AH, Lanspa MJ. Lower Glucose Target Is Associated With Improved 30-Day Mortality in Cardiac and Cardiothoracic Patients. Chest. 2018;154:1044-1051.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 9]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
74.  Luethi N, Cioccari L, Biesenbach P, Lucchetta L, Kagaya H, Morgan R, Di Muzio F, Presello B, Gaafar D, Hay A, Crisman M, Toohey R, Russell H, Glassford NJ, Eastwood GM, Ekinci EI, Deane AM, Bellomo R, Mårtensson J. Liberal Glucose Control in ICU Patients With Diabetes: A Before-and-After Study. Crit Care Med. 2018;46:935-942.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 34]  [Cited by in F6Publishing: 35]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
75.  Luethi N, Cioccari L, Eastwood G, Biesenbach P, Morgan R, Sprogis S, Young H, Peck L, Knee Chong C, Moore S, Moon K, Ekinci EI, Deane AM, Bellomo R, Mårtensson J. Hospital-acquired complications in intensive care unit patients with diabetes: A before-and-after study of a conventional vs liberal glucose control protocol. Acta Anaesthesiol Scand. 2019;63:761-768.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 5]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
76.  Lanspa MJ, Hirshberg EL, Phillips GD, Holmen J, Stoddard G, Orme J. Moderate glucose control is associated with increased mortality compared with tight glucose control in critically ill patients without diabetes. Chest. 2013;143:1226-1234.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 42]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
77.  Lacherade JC, Jabre P, Bastuji-Garin S, Grimaldi D, Fangio P, Théron V, Outin H, De Jonghe B. Failure to achieve glycemic control despite intensive insulin therapy in a medical ICU: incidence and influence on ICU mortality. Intensive Care Med. 2007;33:814-821.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 31]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
78.  COIITSS Study Investigators, Annane D, Cariou A, Maxime V, Azoulay E, D'honneur G, Timsit JF, Cohen Y, Wolf M, Fartoukh M, Adrie C, Santré C, Bollaert PE, Mathonet A, Amathieu R, Tabah A, Clec'h C, Mayaux J, Lejeune J, Chevret S. Corticosteroid treatment and intensive insulin therapy for septic shock in adults: a randomized controlled trial. JAMA. 2010;303:341-348.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 177]  [Cited by in F6Publishing: 201]  [Article Influence: 14.4]  [Reference Citation Analysis (0)]
79.  Preiser JC, Devos P, Ruiz-Santana S, Mélot C, Annane D, Groeneveld J, Iapichino G, Leverve X, Nitenberg G, Singer P, Wernerman J, Joannidis M, Stecher A, Chioléro R. A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study. Intensive Care Med. 2009;35:1738-1748.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 648]  [Cited by in F6Publishing: 597]  [Article Influence: 39.8]  [Reference Citation Analysis (0)]
80.  Siegelaar SE, Hermanides J, Oudemans-van Straaten HM, van der Voort PH, Bosman RJ, Zandstra DF, DeVries JH. Mean glucose during ICU admission is related to mortality by a U-shaped curve in surgical and medical patients: a retrospective cohort study. Crit Care. 2010;14:R224.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 55]  [Cited by in F6Publishing: 57]  [Article Influence: 4.1]  [Reference Citation Analysis (0)]
81.  Kalfon P, Giraudeau B, Ichai C, Guerrini A, Brechot N, Cinotti R, Dequin PF, Riu-Poulenc B, Montravers P, Annane D, Dupont H, Sorine M, Riou B; CGAO-REA Study Group. Tight computerized vs conventional glucose control in the ICU: a randomized controlled trial. Intensive Care Med. 2014;40:171-181.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 88]  [Cited by in F6Publishing: 86]  [Article Influence: 8.6]  [Reference Citation Analysis (0)]
82.  Finney SJ, Zekveld C, Elia A, Evans TW. Glucose control and mortality in critically ill patients. JAMA. 2003;290:2041-2047.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 767]  [Cited by in F6Publishing: 700]  [Article Influence: 33.3]  [Reference Citation Analysis (0)]
83.  Van den Berghe G, Wilmer A, Milants I, Wouters PJ, Bouckaert B, Bruyninckx F, Bouillon R, Schetz M. Intensive insulin therapy in mixed medical/surgical intensive care units: benefit vs harm. Diabetes. 2006;55:3151-3159.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 413]  [Cited by in F6Publishing: 377]  [Article Influence: 20.9]  [Reference Citation Analysis (0)]
84.  Al-Tarifi A, Abou-Shala N, Tamim HM, Rishu AH, Arabi YM. What is the optimal blood glucose target in critically ill patients? Ann Thorac Med. 2011;6:207-211.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 18]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
85.  Krinsley JS, Preiser JC. Time in blood glucose range 70 to 140 mg/dL >80% is strongly associated with increased survival in non-diabetic critically ill adults. Crit Care. 2015;19:179.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 110]  [Cited by in F6Publishing: 111]  [Article Influence: 12.3]  [Reference Citation Analysis (0)]
86.  Lanspa MJ, Krinsley JS, Hersh AM, Wilson EL, Holmen JR, Orme JF, Morris AH, Hirshberg EL. Percentage of Time in Range 70 to 139 mg/dL Is Associated With Reduced Mortality Among Critically Ill Patients Receiving IV Insulin Infusion. Chest. 2019;156:878-886.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 28]  [Cited by in F6Publishing: 30]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
87.  Lee TF, Drake SM, Roberts GW, Bersten A, Stranks SN, Heilbronn LK, Mangoni AA, Burt MG. Relative Hyperglycemia Is an Independent Determinant of In-Hospital Mortality in Patients With Critical Illness. Crit Care Med. 2020;48:e115-e122.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 54]  [Article Influence: 13.5]  [Reference Citation Analysis (0)]
88.  Zhou D, Li Z, Shi G, Zhou J. Proportion of time spent in blood glucose range 70 to 140 mg/dL is associated with increased survival in patients admitted to ICU after cardiac arrest: A multicenter observational study. Medicine (Baltimore). 2020;99:e21728.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 3]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
89.  Lecomte P, Van Vlem B, Coddens J, Cammu G, Nollet G, Nobels F, Vanermen H, Foubert L. Tight perioperative glucose control is associated with a reduction in renal impairment and renal failure in non-diabetic cardiac surgical patients. Crit Care. 2008;12:R154.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 66]  [Cited by in F6Publishing: 70]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
90.  Okabayashi T, Shima Y, Sumiyoshi T, Kozuki A, Tokumaru T, Iiyama T, Sugimoto T, Kobayashi M, Yokoyama M, Hanazaki K. Intensive vs intermediate glucose control in surgical intensive care unit patients. Diabetes Care. 2014;37:1516-1524.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 76]  [Cited by in F6Publishing: 81]  [Article Influence: 8.1]  [Reference Citation Analysis (0)]
91.  Giakoumidakis K, Eltheni R, Patelarou E, Theologou S, Patris V, Michopanou N, Mikropoulos T, Brokalaki H. Effects of intensive glycemic control on outcomes of cardiac surgery. Heart Lung. 2013;42:146-151.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 27]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
92.  NICE-SUGAR Study Investigators for the Australian and New Zealand Intensive Care Society Clinical Trials Group and the Canadian Critical Care Trials Group; Finfer S, Chittock D, Li Y, Foster D, Dhingra V, Bellomo R, Cook D, Dodek P, Hebert P, Henderson W, Heyland D, Higgins A, McArthur C, Mitchell I, Myburgh J, Robinson B, Ronco J. Intensive vs conventional glucose control in critically ill patients with traumatic brain injury: long-term follow-up of a subgroup of patients from the NICE-SUGAR study. Intensive Care Med. 2015;41:1037-1047.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 90]  [Cited by in F6Publishing: 83]  [Article Influence: 9.2]  [Reference Citation Analysis (0)]
93.  Griesdale DE, Tremblay MH, McEwen J, Chittock DR. Glucose control and mortality in patients with severe traumatic brain injury. Neurocrit Care. 2009;11:311-316.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 56]  [Cited by in F6Publishing: 63]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
94.  Gale SC, Sicoutris C, Reilly PM, Schwab CW, Gracias VH. Poor glycemic control is associated with increased mortality in critically ill trauma patients. Am Surg. 2007;73:454-460.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 94]  [Cited by in F6Publishing: 106]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
95.  Wang CH, Chang JL, Huang CH, Chang WT, Tsai MS, Yu PH, Wu YW, Chen WJ, Tseng WK. The association between long-term glycaemic control, glycaemic gap and neurological outcome of in-hospital cardiac arrest in diabetics: A retrospective cohort study. Resuscitation. 2018;133:18-24.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 6]  [Cited by in F6Publishing: 8]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]