Literature DB >> 31744315

Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients.

Grant V Bochicchio1, Stanley A Nasraway2, Laura J Moore3,4, Anthony P Furnary5,6,7, Eden A Nohra1, Kelly M Bochicchio1, James C Boyd8, David I Bruns8, Irl B Hirsch9, Jean-Charles Preiser10, James S Krinsley11.   

Abstract

BACKGROUND: The use of near-continuous blood glucose (BG) monitoring has the potential to improve glycemic control in critically ill patients. The MANAGE IDE trial evaluated the performance of the OptiScanner (OS) 5000 in a multicenter cohort of 200 critically ill patients.
METHODS: An Independent Group reviewed the BG run charts of all 200 patients and voted whether unblinded use of the OS, with alarms set at 90 and 130 to 150 mg/dL to alert the clinical team to impending hypoglycemia and hyperglycemia, respectively, would have eliminated episodes of dysglycemia: hypoglycemia, defined as a single BG <70 mg/dL; hyperglycemia, defined as >4 hours of BG >150 mg/dL; severe hyperglycemia, defined as >4 hours of BG >200 mg/dL and increased glucose variability (GV), defined as coefficient of variation (CV) >20%.
RESULTS: At least one episode of dysglycemia occurred in 103 (51.5%) of the patients, including 6 (3.0%) with hypoglycemia, 83 (41.5%) with hyperglycemia, 18 (9.0%) with severe hyperglycemia, and 40 (20.0%) with increased GV. Unblinded use of the OS with appropriate alarms would likely have averted 97.1% of the episodes of dysglycemia: hypoglycemia (100.0%), hyperglycemia (96.4%), severe hyperglycemia (100.0%), and increased GV (97.5%). Point accuracy of the OS was very similar to that of the point of care BG monitoring devices used in the trial.
CONCLUSION: Unblinded use of the OS would have eliminated nearly every episode of dysglycemia in this cohort of critically ill patients, thereby markedly improving the quality and safety of glucose control.

Entities:  

Keywords:  continuous glucose monitoring; critically ill; glucose control; glucose variability; hyperglycemia; hypoglycemia

Year:  2019        PMID: 31744315      PMCID: PMC8256060          DOI: 10.1177/1932296819886917

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  27 in total

1.  A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study.

Authors:  Jean-Charles Preiser; Philippe Devos; Sergio Ruiz-Santana; Christian Mélot; Djillali Annane; Johan Groeneveld; Gaetano Iapichino; Xavier Leverve; Gérard Nitenberg; Pierre Singer; Jan Wernerman; Michael Joannidis; Adela Stecher; René Chioléro
Journal:  Intensive Care Med       Date:  2009-07-28       Impact factor: 17.440

2.  The impact of measurement frequency on the domains of glycemic control in the critically ill--a Monte Carlo simulation.

Authors:  James S Krinsley; David E Bruns; James C Boyd
Journal:  J Diabetes Sci Technol       Date:  2015-01-06

3.  Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control.

Authors:  Daleen Aragon
Journal:  Am J Crit Care       Date:  2006-07       Impact factor: 2.228

4.  Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis.

Authors:  Mercedes Falciglia; Ron W Freyberg; Peter L Almenoff; David A D'Alessio; Marta L Render
Journal:  Crit Care Med       Date:  2009-12       Impact factor: 7.598

Review 5.  A comparison of inpatient glucose management guidelines: implications for patient safety and quality.

Authors:  Nestoras Mathioudakis; Sherita Hill Golden
Journal:  Curr Diab Rep       Date:  2015-03       Impact factor: 4.810

6.  Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models.

Authors:  James C Boyd; David E Bruns
Journal:  Clin Chem       Date:  2014-01-15       Impact factor: 8.327

7.  Organ failure and tight glycemic control in the SPRINT study.

Authors:  J Geoffrey Chase; Christopher G Pretty; Leesa Pfeifer; Geoffrey M Shaw; Jean-Charles Preiser; Aaron J Le Compte; Jessica Lin; Darren Hewett; Katherine T Moorhead; Thomas Desaive
Journal:  Crit Care       Date:  2010-08-12       Impact factor: 9.097

Review 8.  Continuous glucose monitoring in the ICU: clinical considerations and consensus.

Authors:  James S Krinsley; J Geoffrey Chase; Jan Gunst; Johan Martensson; Marcus J Schultz; Fabio S Taccone; Jan Wernerman; Julien Bohe; Christophe De Block; Thomas Desaive; Pierre Kalfon; Jean-Charles Preiser
Journal:  Crit Care       Date:  2017-07-31       Impact factor: 9.097

9.  LOGIC-insulin algorithm-guided versus nurse-directed blood glucose control during critical illness: the LOGIC-1 single-center, randomized, controlled clinical trial.

Authors:  Tom Van Herpe; Dieter Mesotten; Pieter J Wouters; Jeroen Herbots; Evy Voets; Jo Buyens; Bart De Moor; Greet Van den Berghe
Journal:  Diabetes Care       Date:  2012-09-06       Impact factor: 19.112

10.  Diabetic status and the relation of the three domains of glycemic control to mortality in critically ill patients: an international multicenter cohort study.

Authors:  James S Krinsley; Moritoki Egi; Alex Kiss; Amin N Devendra; Philipp Schuetz; Paula M Maurer; Marcus J Schultz; Roosmarijn T M van Hooijdonk; Morita Kiyoshi; Iain M J Mackenzie; Djillali Annane; Peter Stow; Stanley A Nasraway; Sharon Holewinski; Ulrike Holzinger; Jean-Charles Preiser; Jean-Louis Vincent; Rinaldo Bellomo
Journal:  Crit Care       Date:  2013-03-01       Impact factor: 9.097

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  1 in total

1.  Reference Ranges of Glycemic Variability in Infants after Surgery-A Prospective Cohort Study.

Authors:  Halla Kaminska; Pawel Wieczorek; Grzegorz Zalewski; Beata Malachowska; Przemyslaw Kucharski; Wojciech Fendler; Lukasz Szarpak; Przemyslawa Jarosz-Chobot
Journal:  Nutrients       Date:  2022-02-10       Impact factor: 5.717

  1 in total

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