Literature DB >> 20513330

Continuous glucose monitoring system in a rural intensive care unit: a pilot study evaluating accuracy and acceptance.

Brooke Jacobs1, Kim Phan, Leonard Bertheau, Godwin Dogbey, Frank Schwartz, Jay Shubrook.   

Abstract

BACKGROUND: Glucose management in an intensive care unit (ICU) is labor-intensive. A continuous glucose monitoring system (CGMS) has the potential to improve efficiency and safety in this setting. The goal of this study was to determine if the Medtronic Guardian REAL-Time CGMS was accurate and tolerated by patients in a rural hospital ICU unit.
METHOD: Differences between individual finger stick blood glucose (FSBG) and CGMS values were compared to American Diabetes Association (ADA) and International Organization for Standardization (ISO) standards. Continuous glucose monitoring system accuracy was evaluated over four ranges: <75, 75-140, 140-200, and >200 mg/dl. Other accuracy measures [mean absolute deviation (MAD), mean absolute relative difference (MARD), and coefficient of linear regression of CGMS on FSBG] were calculated. Nursing staff and patients were surveyed regarding use of the CGMS in the ICU.
RESULTS: Twenty-nine participants had 320 FSBG and corresponding CGMS readings. Sixty-two percent of participants were admitted with diabetic ketoacidosis (DKA). Two hundred and thirteen (66.6%) were accurate within the ISO standard, whereas only 70 out of 320 (21.9%) were within the 5% ADA standard. The CGMS was most accurate in euglycemia. Technical difficulties, such as adequate time for "wetting" and calibration of electrodes, arose with the sensors. The MAD was 28.3 mg/dl, the MRAD was 17.4%, and the linear regression coefficient of CGMS on FSBG was 0.834 (p < 0.001).
CONCLUSIONS: The CGMS is well tolerated by ICU patients but, at present, is not sufficiently accurate to be used for therapeutic decisions in the acute setting, particularly in patients with diabetic ketoacidosis. There is a need to find resolution to the technical issues regarding electrode "wetting" and calibration if CGMS use in the ICU setting is to provide an effective means of diabetes care and management. (c) 2010 Diabetes Technology Society.

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Year:  2010        PMID: 20513330      PMCID: PMC2901041          DOI: 10.1177/193229681000400318

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


  29 in total

1.  Intensive insulin therapy in critically ill patients.

Authors:  G van den Berghe; P Wouters; F Weekers; C Verwaest; F Bruyninckx; M Schetz; D Vlasselaers; P Ferdinande; P Lauwers; R Bouillon
Journal:  N Engl J Med       Date:  2001-11-08       Impact factor: 91.245

2.  Experience with the continuous glucose monitoring system in a medical intensive care unit.

Authors:  Philip A Goldberg; Mark D Siegel; Raymond R Russell; Robert S Sherwin; Joshua I Halickman; Dawn A Cooper; James D Dziura; Silvio E Inzucchi
Journal:  Diabetes Technol Ther       Date:  2004-06       Impact factor: 6.118

3.  Standards of medical care in diabetes--2010.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

4.  Intensive insulin therapy in the intensive care unit: assessment by continuous glucose monitoring.

Authors:  Christophe De Block; Begoña Manuel-Y-Keenoy; Luc Van Gaal; Peter Rogiers
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

5.  Continuous subcutaneous glucose monitoring in children with type 1 diabetes.

Authors:  H P Chase; L M Kim; S L Owen; T A MacKenzie; G J Klingensmith; R Murtfeldt; S K Garg
Journal:  Pediatrics       Date:  2001-02       Impact factor: 7.124

6.  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

7.  Clinical performance of CGMS in type 1 diabetic patients treated by continuous subcutaneous insulin infusion using insulin analogs.

Authors:  Bruno Guerci; Michèle Floriot; Philip Böhme; Danielle Durain; Muriel Benichou; Stéphanie Jellimann; Pierre Drouin
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

8.  Association between hyperglycemia and increased hospital mortality in a heterogeneous population of critically ill patients.

Authors:  James Stephen Krinsley
Journal:  Mayo Clin Proc       Date:  2003-12       Impact factor: 7.616

9.  Admission hyperglycemia as a prognostic indicator in trauma.

Authors:  Saikrishna Yendamuri; Gerard J Fulda; Glen H Tinkoff
Journal:  J Trauma       Date:  2003-07

10.  Continuous insulin infusion reduces mortality in patients with diabetes undergoing coronary artery bypass grafting.

Authors:  Anthony P Furnary; Guangqiang Gao; Gary L Grunkemeier; YingXing Wu; Kathryn J Zerr; Stephen O Bookin; H Storm Floten; Albert Starr
Journal:  J Thorac Cardiovasc Surg       Date:  2003-05       Impact factor: 5.209

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  15 in total

1.  Accuracy of subcutaneous continuous glucose monitoring in critically ill adults: improved sensor performance with enhanced calibrations.

Authors:  Lalantha Leelarathna; Shane W English; Hood Thabit; Karen Caldwell; Janet M Allen; Kavita Kumareswaran; Malgorzata E Wilinska; Marianna Nodale; Ahmad Haidar; Mark L Evans; Rowan Burnstein; Roman Hovorka
Journal:  Diabetes Technol Ther       Date:  2013-11-04       Impact factor: 6.118

2.  Evaluation of a novel continuous glucose measurement device in patients with diabetes mellitus across the glycemic range.

Authors:  Linda Morrow; Marcus Hompesch; Ann M Tideman; Jennifer Matson; Nancy Dunne; Scott Pardo; Joan L Parkes; Holly C Schachner; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

Review 3.  Designing the Glucose Telemetry for Hospital Management: From Bedside to the Nursing Station.

Authors:  Medha Satyarengga; Tariq Siddiqui; Elias K Spanakis
Journal:  Curr Diab Rep       Date:  2018-08-29       Impact factor: 4.810

Review 4.  Inpatient Continuous Glucose Monitoring and Glycemic Outcomes.

Authors:  David L Levitt; Kristi D Silver; Elias K Spanakis
Journal:  J Diabetes Sci Technol       Date:  2017-03-14

Review 5.  Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.

Authors:  Rajesh Rajendran; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-06-05

6.  Real-time continuous glucose monitoring in an intensive care unit: better accuracy in patients with septic shock.

Authors:  Carol Lorencio; Yenny Leal; Alfonso Bonet; Jorge Bondia; Cesar C Palerm; Abdo Tache; Josep-Maria Sirvent; Josep Vehi
Journal:  Diabetes Technol Ther       Date:  2012-04-18       Impact factor: 6.118

7.  Automated near-continuous glucose monitoring measured in plasma using mid-infrared spectroscopy.

Authors:  Thomas Jax; Tim Heise; Leszek Nosek; Jennifer Gable; Gene Lim; Christopher Calentine
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

8.  Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline.

Authors:  Rodolfo J Galindo; Guillermo E Umpierrez; Robert J Rushakoff; Ananda Basu; Suzanne Lohnes; James H Nichols; Elias K Spanakis; Juan Espinoza; Nadine E Palermo; Dessa Garnett Awadjie; Leigh Bak; Bruce Buckingham; Curtiss B Cook; Guido Freckmann; Lutz Heinemann; Roman Hovorka; Nestoras Mathioudakis; Tonya Newman; David N O'Neal; Michaela Rickert; David B Sacks; Jane Jeffrie Seley; Amisha Wallia; Trisha Shang; Jennifer Y Zhang; Julia Han; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2020-09-28

9.  Accuracy of a novel noninvasive transdermal continuous glucose monitor in critically ill patients.

Authors:  Nicole M Saur; Michael R England; Wayne Menzie; Ann Marie Melanson; My-Quyen Trieu; Jason Berlin; James Hurley; Keith Krystyniak; Gail L Kongable; Stanley A Nasraway
Journal:  J Diabetes Sci Technol       Date:  2014-05-27

10.  Continuous glucose monitoring system in the operating room and intensive care unit: any difference according to measurement sites?

Authors:  In-Kyung Song; Ji-Hyun Lee; Joo-Eun Kang; Yang-Hyo Park; Hee-Soo Kim; Jin-Tae Kim
Journal:  J Clin Monit Comput       Date:  2015-11-11       Impact factor: 2.502

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