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Nielsen CG, Grigonyte-Daraskeviciene M, Olsen MT, Møller MH, Nørgaard K, Perner A, Mårtensson J, Pedersen-Bjergaard U, Kristensen PL, Bestle MH. Accuracy of continuous glucose monitoring systems in intensive care unit patients: a scoping review. Intensive Care Med 2024:10.1007/s00134-024-07663-6. [PMID: 39417874 DOI: 10.1007/s00134-024-07663-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 09/14/2024] [Indexed: 10/19/2024]
Abstract
PURPOSE Glycemic control poses a challenge in intensive care unit (ICU) patients and dysglycemia is associated with poor outcomes. Continuous glucose monitoring (CGM) has been successfully implemented in the type 1 diabetes out-patient setting and renewed interest has been directed into the transition of CGM into the ICU. This scoping review aimed to provide an overview of CGM accuracy in ICU patients to inform future research and CGM implementation. METHODS We systematically searched PubMed and EMBASE between 5th of December 2023 and 21st of May 2024 and reported findings in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline for scoping reviews (PRISMA-ScR). We assessed studies reporting the accuracy of CGM in the ICU and report study characteristics and accuracy outcomes. RESULTS We identified 2133 studies, of which 96 were included. Most studies were observational (91.7%), conducted in adult patients (74%), in mixed ICUs (47.9%), from 2014 and onward, and assessed subcutaneous CGM systems (80%) using arterial blood samples as reference test (40.6%). Half of the studies (56.3%) mention the use of a prespecified reference test protocol. The mean absolute relative difference (MARD) ranged from 6.6 to 30.5% for all subcutaneous CGM studies. For newer factory calibrated CGM, MARD ranged from 9.7 to 20.6%. MARD for intravenous CGM was 5-14.2% and 6.4-13% for intraarterial CGM. CONCLUSIONS In this scoping review of CGM accuracy in the ICU, we found great diversity in accuracy reporting. Accuracy varied depending on CGM and comparator, and may be better for intravascular CGM and potentially lower during hypoglycemia.
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Affiliation(s)
- Christian G Nielsen
- Department of Anesthesiology and Intensive Care, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark.
| | | | - Mikkel T Olsen
- Department of Endocrinology and Nephrology, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
| | - Morten H Møller
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Nørgaard
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Clinical Translational Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Johan Mårtensson
- Department of Physiology and Pharmacology, Section of Anesthesia and Intensive Care, Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter L Kristensen
- Department of Endocrinology and Nephrology, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Morten H Bestle
- Department of Anesthesiology and Intensive Care, Copenhagen University Hospital-North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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2
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Machine-assisted nutritional and metabolic support. Intensive Care Med 2022; 48:1426-1428. [PMID: 35650408 DOI: 10.1007/s00134-022-06753-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 05/18/2022] [Indexed: 02/04/2023]
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Perez-Guzman MC, Shang T, Zhang JY, Jornsay D, Klonoff DC. Continuous Glucose Monitoring in the Hospital. Endocrinol Metab (Seoul) 2021; 36:240-255. [PMID: 33789033 PMCID: PMC8090458 DOI: 10.3803/enm.2021.201] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 02/18/2021] [Indexed: 12/14/2022] Open
Abstract
Continuous glucose monitors (CGMs) have suddenly become part of routine care in many hospitals. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. The use of CGMs to automatically and remotely supplement or replace assisted monitoring of blood glucose by bedside nurses can decrease: the amount of necessary nursing exposure to COVID-19 patients with diabetes; the amount of time required for obtaining blood glucose measurements, and the amount of personal protective equipment necessary for interacting with patients during the blood glucose testing. The United States Food and Drug Administration (FDA) is now exercising enforcement discretion and not objecting to certain factory-calibrated CGMs being used in a hospital setting, both to facilitate patient care and to obtain performance data that can be used for future regulatory submissions. CGMs can be used in the hospital to decrease the frequency of fingerstick point of care capillary blood glucose testing, decrease hyperglycemic episodes, and decrease hypoglycemic episodes. Most of the research on CGMs in the hospital has focused on their accuracy and only recently outcomes data has been reported. A hospital CGM program requires cooperation of physicians, bedside nurses, diabetes educators, and hospital administrators to appropriately select and manage patients. Processes for collecting, reviewing, storing, and responding to CGM data must be established for such a program to be successful. CGM technology is advancing and we expect that CGMs will be increasingly used in the hospital for patients with diabetes.
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Affiliation(s)
- M. Citlalli Perez-Guzman
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University, Atlanta, GA,
USA
| | - Trisha Shang
- Diabetes Technology Society, Burlingame, CA,
USA
| | | | - Donna Jornsay
- Diabetes Program, Mills-Peninsula Medical Center, Burlingame, CA,
USA
| | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA,
USA
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4
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Galindo RJ, Aleppo G. Continuous glucose monitoring: The achievement of 100 years of innovation in diabetes technology. Diabetes Res Clin Pract 2020; 170:108502. [PMID: 33065179 PMCID: PMC7736459 DOI: 10.1016/j.diabres.2020.108502] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Monitoring of glucose levels is essential to effective diabetes management. Over the past 100 years, there have been numerous innovations in glucose monitoring methods. The most recent advances have centered on continuous glucose monitoring (CGM) technologies. Numerous studies have demonstrated that use of continuous glucose monitoring confers significant glycemic benefits on individuals with type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Ongoing improvements in accuracy and convenience of CGM devices have prompted increasing adoption of this technology. The development of standardized metrics for assessing CGM data has greatly improved and streamlined analysis and interpretation, enabling clinicians and patients to make more informed therapy modifications. However, many clinicians many be unfamiliar with current CGM and how use of these devices may help individuals with T1DM and T2DM achieve their glycemic targets. The purpose of this review is to present an overview of current CGM systems and provide guidance to clinicians for initiating and utilizing CGM in their practice settings.
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Affiliation(s)
- Rodolfo J Galindo
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, 69 Jesse Hill Jr. Dr., Glenn Building, Suite 202, Atlanta, GA, 30303, USA.
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, 645 N. Michigan Ave, Suite 530, Chicago, IL 60611, USA.
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5
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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. [PMID: 32985262 PMCID: PMC7645140 DOI: 10.1177/1932296820954163] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article is the work product of the Continuous Glucose Monitor and Automated Insulin Dosing Systems in the Hospital Consensus Guideline Panel, which was organized by Diabetes Technology Society and met virtually on April 23, 2020. The guideline panel consisted of 24 international experts in the use of continuous glucose monitors (CGMs) and automated insulin dosing (AID) systems representing adult endocrinology, pediatric endocrinology, obstetrics and gynecology, advanced practice nursing, diabetes care and education, clinical chemistry, bioengineering, and product liability law. The panelists reviewed the medical literature pertaining to five topics: (1) continuation of home CGMs after hospitalization, (2) initiation of CGMs in the hospital, (3) continuation of AID systems in the hospital, (4) logistics and hands-on care of hospitalized patients using CGMs and AID systems, and (5) data management of CGMs and AID systems in the hospital. The panelists then developed three types of recommendations for each topic, including clinical practice (to use the technology optimally), research (to improve the safety and effectiveness of the technology), and hospital policies (to build an environment for facilitating use of these devices) for each of the five topics. The panelists voted on 78 proposed recommendations. Based on the panel vote, 77 recommendations were classified as either strong or mild. One recommendation failed to reach consensus. Additional research is needed on CGMs and AID systems in the hospital setting regarding device accuracy, practices for deployment, data management, and achievable outcomes. This guideline is intended to support these technologies for the management of hospitalized patients with diabetes.
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Affiliation(s)
| | | | | | - Ananda Basu
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Suzanne Lohnes
- University of California San Diego Medical Center, La Jolla, CA, USA
| | | | - Elias K. Spanakis
- University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Endocrinology, Baltimore Veterans Affairs Medical Center, MD, USA
| | | | - Nadine E. Palermo
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | | | | | | | | | - Tonya Newman
- Neal, Gerber and Eisenberg LLP, Chicago, IL, USA
| | - David N. O’Neal
- University of Melbourne Department of Medicine, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | | | | | | | - Amisha Wallia
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Trisha Shang
- Diabetes Technology Society, Burlingame, CA, USA
| | | | - Julia Han
- Diabetes Technology Society, Burlingame, CA, USA
| | - David C. Klonoff
- Mills-Peninsula Medical Center, San Mateo, CA, USA
- David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE, Mills-Peninsula Medical Center, 100 South San Mateo Drive Room 5147, San Mateo, CA 94401, USA.
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6
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Abstract
BACKGROUND To summarize new evidence regarding the methodological aspects of blood glucose control in the intensive care unit (ICU). METHODS We reviewed the literature on blood glucose control in the ICU up to August 2019 through Ovid Medline and Pubmed. RESULTS Since the publication of the Leuven studies, the benefits of glycemic control have been recognized. However, the methodology of blood glucose control, notably the blood glucose measurement accuracy and the insulin titration protocol, plays an important but underestimated role. This may partially explain the negative results of the large, pragmatic multicenter trials and made everyone realize that tight glycemic control with less-frequent glucose measurements on less accurate blood glucose meters is neither feasible nor advisable in daily practice. Blood gas analyzers remain the gold standard. New generation point-of-care blood glucose meters may be an alternative when using whole blood of critically ill patients in combination with a clinically validated insulin dosing algorithm. CONCLUSION When implementing blood glucose management in an ICU one needs to take into account the interaction between aimed glycemic target and blood glucose measurement methodology.
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Affiliation(s)
- Gert-Jan Eerdekens
- Department of Anesthesiology, University Hospitals Leuven, Belgium
- Department of Anesthesia and Intensive Care Medicine, ZOL-Genk, Belgium
- Gert-Jan Eerdekens, MD, Department of Anesthesia UZ Leuven, Herestraat 49, Leuven 3000, Belgium.
| | - Steffen Rex
- Department of Anesthesiology, University Hospitals Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven, Belgium
| | - Dieter Mesotten
- Department of Anesthesia and Intensive Care Medicine, ZOL-Genk, Belgium
- Faculty of Medicine and Life Sciences, UHasselt, Belgium
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7
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Smith AF, Shinkins B, Hall PS, Hulme CT, Messenger MP. Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes. Clin Chem 2019; 65:1363-1374. [PMID: 31444309 PMCID: PMC7055686 DOI: 10.1373/clinchem.2018.300954] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 06/20/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND For medical tests that have a central role in clinical decision-making, current guidelines advocate outcome-based analytical performance specifications. Given that empirical (clinical trial-style) analyses are often impractical or unfeasible in this context, the ability to set such specifications is expected to rely on indirect studies to calculate the impact of test measurement uncertainty on downstream clinical, operational, and economic outcomes. Currently, however, a lack of awareness and guidance concerning available alternative indirect methods is limiting the production of outcome-based specifications. Therefore, our aim was to review available indirect methods and present an analytical framework to inform future outcome-based performance goals. CONTENT A methodology review consisting of database searches and extensive citation tracking was conducted to identify studies using indirect methods to incorporate or evaluate the impact of test measurement uncertainty on downstream outcomes (including clinical accuracy, clinical utility, and/or costs). Eighty-two studies were identified, most of which evaluated the impact of imprecision and/or bias on clinical accuracy. A common analytical framework underpinning the various methods was identified, consisting of 3 key steps: (a) calculation of "true" test values; (b) calculation of measured test values (incorporating uncertainty); and (c) calculation of the impact of discrepancies between (a) and (b) on specified outcomes. A summary of the methods adopted is provided, and key considerations are discussed. CONCLUSIONS Various approaches are available for conducting indirect assessments to inform outcome-based performance specifications. This study provides an overview of methods and key considerations to inform future studies and research in this area.
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Affiliation(s)
- Alison F Smith
- Test Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK;
- NIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK
| | - Bethany Shinkins
- Test Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK
- NIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK
- CanTest Collaborative, UK
| | - Peter S Hall
- Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Claire T Hulme
- Test Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK
- Health Economics Group, University of Exeter, Exeter, UK
| | - Mike P Messenger
- NIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK
- CanTest Collaborative, UK
- Leeds Centre for Personalised Medicine and Health, University of Leeds, Leeds, UK
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8
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Abstract
OBJECTIVES Tight glycemic control using intermittent blood glucose measurements is associated with a risk of hypoglycemia. Glucose concentrations can now be measured near continuously (every 5-15 min). We assessed the quality and safety of glycemic control guided by a near-continuous glucose monitoring system in ICU patients. DESIGN Prospective, cluster-randomized, crossover study. SETTING Thirty-five-bed medico-surgical department of intensive care with four separate ICUs. PATIENTS Adult patients admitted to the department and expected to stay for at least 3 days were considered for inclusion if they had persistent hyperglycemia (blood glucose > 150 mg/dL) up to 6 hours after admission and/or were receiving insulin therapy. INTERVENTIONS A peripheral venous catheter was inserted in all patients and connected to a continuous glucose monitoring sensor (GlucoClear; Edwards Lifesciences, Irvine, CA). The four ICUs were randomized in pairs in a crossover design to glycemic control using unblinded or blinded continuous glucose monitoring monitors. The insulin infusion rate was adjusted to keep blood glucose between 90 and 150 mg/dL using the blood glucose values displayed on the continuous glucose monitor (continuous glucose monitoring group-unblinded units) or according to intermittent blood glucose readings (intermittent glucose monitoring group-blinded units). MEASUREMENTS AND MAIN RESULTS The quality and safety of glycemic control were assessed using the proportion of time in range, the frequency of blood glucose less than 70 mg/dL, and the time spent with blood glucose less than 70 mg/dL (TB70), using blood glucose values measured by the continuous glucose monitoring device. Seventy-seven patients were enrolled: 39 in the continuous glucose monitoring group and 38 in the intermittent glucose monitoring group. A total of 43,107 blood glucose values were recorded. The time in range was similar in the two groups. The incidence of hypoglycemia (8/39 [20.5%] vs 15/38 [39.5%]) and the TB70 (0.4% ± 0.9% vs 1.6% ± 3.4%; p < 0.05) was lower in the continuous glucose monitoring than in the intermittent glucose monitoring group. CONCLUSIONS Use of a continuous glucose monitoring-based strategy decreased the incidence and severity of hypoglycemia, thus improving the safety of glycemic control.
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9
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Abstract
Hyperglycemia is common in the intensive care unit (ICU) both in patients with and without a previous diagnosis of diabetes. The optimal glucose range in the ICU population is still a matter of debate. Given the risk of hypoglycemia associated with intensive insulin therapy, current recommendations include treating hyperglycemia after two consecutive glucose >180 mg/dL with target levels of 140-180 mg/dL for most patients. The optimal method of sampling glucose and delivery of insulin in critically ill patients remains elusive. While point of care glucose meters are not consistently accurate and have to be used with caution, continuous glucose monitoring (CGM) is not standard of care, nor is it generally recommended for inpatient use. Intravenous insulin therapy using paper or electronic protocols remains the preferred approach for critically ill patients. The advent of new technologies, such as electronic glucose management, CGM, and closed-loop systems, promises to improve inpatient glycemic control in the critically ill with lower rates of hypoglycemia.
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Affiliation(s)
- Pedro D. Salinas
- Aurora Critical Care Services,
University of Wisconsin School of Medicine and Public Health, Milwaukee, WI,
USA
| | - Carlos E. Mendez
- Froedtert and Medical College of
Wisconsin, Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical
Center, Milwaukee, WI, USA
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10
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Stoudt K, Chawla S. Don't Sugar Coat It: Glycemic Control in the Intensive Care Unit. J Intensive Care Med 2018; 34:889-896. [PMID: 30309291 DOI: 10.1177/0885066618801748] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Stress hyperglycemia is the transient increase in blood glucose as a result of complex hormonal changes that occur during critical illness. It has been described in the critically ill for nearly 200 years; patient harm, including increases in morbidity, mortality, and lengths of stay, has been associated with hyperglycemia, hypoglycemia, and glucose variability. However, there remains a contentious debate regarding the optimal glucose ranges for this population, most notably within the past 15 years. Recent landmark clinical trials have dramatically changed the treatment of stress hyperglycemia in the intensive care unit (ICU). Earlier studies suggested that tight glucose control improved both morbidity and mortality for ICU patients, but later studies have suggested potential harm related to the development of hypoglycemia. Multiple trials have tried to elucidate potential glucose target ranges for special patient populations, including those with diabetes, trauma, sepsis, cardiac surgery, and brain injuries, but there remains conflicting evidence for most of these subpopulations. Currently, most international organizations recommend targeting moderate blood glucose concentration to levels <180 mg/dL for all patients in the intensive care unit. In this review, the history of stress hyperglycemia and its treatment will be discussed including optimal glucose target ranges, devices for monitoring blood glucose, and current professional organizations' recommendations regarding glucose control in the ICU.
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Affiliation(s)
- Kara Stoudt
- Department of Anesthesiology & Critical Care Medicine, Critical Care Medicine Service, Memorial Sloan Kettering Cancer Center, NY, USA
| | - Sanjay Chawla
- Department of Anesthesiology & Critical Care Medicine, Critical Care Medicine Service, Memorial Sloan Kettering Cancer Center, NY, USA
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11
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Umpierrez GE, Klonoff DC. Diabetes Technology Update: Use of Insulin Pumps and Continuous Glucose Monitoring in the Hospital. Diabetes Care 2018; 41:1579-1589. [PMID: 29936424 PMCID: PMC6054505 DOI: 10.2337/dci18-0002] [Citation(s) in RCA: 148] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 04/20/2018] [Indexed: 02/03/2023]
Abstract
The use of continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring (CGM) systems has gained wide acceptance in diabetes care. These devices have been demonstrated to be clinically valuable, improving glycemic control and reducing risks of hypoglycemia in ambulatory patients with type 1 diabetes and type 2 diabetes. Approximately 30-40% of patients with type 1 diabetes and an increasing number of insulin-requiring patients with type 2 diabetes are using pump and sensor technology. As the popularity of these devices increases, it becomes very likely that hospital health care providers will face the need to manage the inpatient care of patients under insulin pump therapy and CGM. The American Diabetes Association advocates allowing patients who are physically and mentally able to continue to use their pumps when hospitalized. Health care institutions must have clear policies and procedures to allow the patient to continue to receive CSII treatment to maximize safety and to comply with existing regulations related to self-management of medication. Randomized controlled trials are needed to determine whether CSII therapy and CGM systems in the hospital are associated with improved clinical outcomes compared with intermittent monitoring and conventional insulin treatment or with a favorable cost-benefit ratio.
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Affiliation(s)
- Guillermo E Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA
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12
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van Steen SC, Rijkenberg S, Sechterberger MK, DeVries JH, van der Voort PH. 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 2017; 42:1035-1045. [DOI: 10.1002/jpen.1045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 10/31/2017] [Indexed: 12/31/2022]
Affiliation(s)
- Sigrid C. van Steen
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
| | | | - Marjolein K. Sechterberger
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
| | - J. Hans DeVries
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
| | - Peter H.J. van der Voort
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
- TIAS; School for Business and Society; Tilburg University; Tilburg the Netherlands
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13
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Krinsley JS, Chase JG, Gunst J, Martensson J, Schultz MJ, Taccone FS, Wernerman J, Bohe J, De Block C, Desaive T, Kalfon P, Preiser JC. Continuous glucose monitoring in the ICU: clinical considerations and consensus. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017; 21:197. [PMID: 28756769 PMCID: PMC5535285 DOI: 10.1186/s13054-017-1784-0] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Glucose management in intensive care unit (ICU) patients has been a matter of debate for almost two decades. Compared to intermittent monitoring systems, continuous glucose monitoring (CGM) can offer benefit in the prevention of severe hyperglycemia and hypoglycemia by enabling insulin infusions to be adjusted more rapidly and potentially more accurately because trends in glucose concentrations can be more readily identified. Increasingly, it is apparent that a single glucose target/range may not be optimal for all patients at all times and, as with many other aspects of critical care patient management, a personalized approach to glucose control may be more appropriate. Here we consider some of the evidence supporting different glucose targets in various groups of patients, focusing on those with and without diabetes and neurological ICU patients. We also discuss some of the reasons why, despite evidence of benefit, CGM devices are still not widely employed in the ICU and propose areas of research needed to help move CGM from the research arena to routine clinical use.
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Affiliation(s)
- James S Krinsley
- Division of Critical Care, Department of Medicine, Stamford Hospital, Columbia University College of Physicians and Surgeons, Stamford, CT, 06902, USA
| | - J Geoffrey Chase
- Department of Mechanical Engineering, Centre for Bio-Engineering, University of Canterbury, Christchurch, 8140, New Zealand
| | - Jan Gunst
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, 3000, Leuven, Belgium
| | - Johan Martensson
- Department of Intensive Care, Austin Hospital, Heidelberg, 3084, VIC, Australia.,Department of Anesthesia and Intensive Care Medicine, Karolinska University Hospital, Department of Physiology and Pharmacology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Marcus J Schultz
- Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.,Department of Intensive Care, Laboratory of Experimental Intensive Care and Anesthesia (L E I C A), Faculty of Tropical Medicine, Mahidol University, Mahidol-Oxford Research Unit (MORU), Bangkok, Thailand
| | - Fabio S Taccone
- Department of Intensive Care, Erasme Hospital, Université libre de Bruxelles, 1070, Brussels, Belgium
| | - Jan Wernerman
- Karolinska University Hospital Huddinge & Karolinska Institutet, K32 14186, Stockholm, Sweden
| | - Julien Bohe
- Medical Intensive Care Unit, University Hospital of Lyon, Lyon, France
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, B-2650, Edegem, Belgium
| | - Thomas Desaive
- GIGA-In Silico Medicine, Université de Liège, B4000, Liège, Belgium
| | - Pierre Kalfon
- Service de Réanimation polyvalente, Hôpital Louis Pasteur, CH de Chartres, 28000, Chartres, France
| | - Jean-Charles Preiser
- Department of Intensive Care, Erasme Hospital, Université libre de Bruxelles, 1070, Brussels, Belgium.
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