Literature DB >> 21880226

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

Linda Morrow1, Marcus Hompesch, Ann M Tideman, Jennifer Matson, Nancy Dunne, Scott Pardo, Joan L Parkes, Holly C Schachner, David A Simmons.   

Abstract

BACKGROUND: This glucose clamp study assessed the performance of an electrochemical continuous glucose monitoring (CGM) system for monitoring levels of interstitial glucose. This novel system does not require use of a trocar or needle for sensor insertion.
METHOD: Continuous glucose monitoring sensors were inserted subcutaneously into the abdominal tissue of 14 adults with type 1 or type 2 diabetes. Subjects underwent an automated glucose clamp procedure with four consecutive post-steady-state glucose plateau periods (40 min each): (a) hypoglycemic (50 mg/dl), (b) hyperglycemic (250 mg/dl), (c) second hypoglycemic (50 mg/dl), and (d) euglycemic (90 mg/dl). Plasma glucose results obtained with YSI glucose analyzers were used for sensor calibration. Accuracy was assessed retrospectively for plateau periods and transition states, when glucose levels were changing rapidly (approximately 2 mg/dl/min).
RESULTS: Mean absolute percent difference (APD) was lowest during hypoglycemic plateaus (11.68%, 14.15%) and the euglycemic-to-hypoglycemic transition (14.21%). Mean APD during the hyperglycemic plateau was 17.11%; mean APDs were 18.12% and 19.25% during the hypoglycemic-to-hyperglycemic and hyperglycemic-to-hypoglycemic transitions, respectively. Parkes (consensus) error grid analysis (EGA) and rate EGA of the plateaus and transition periods, respectively, yielded 86.8% and 68.6% accurate results (zone A) and 12.1% and 20.0% benign errors (zone B). Continuous EGA yielded 88.5%, 75.4%, and 79.3% accurate results and 8.3%, 14.3%, and 2.4% benign errors for the euglycemic, hyperglycemic, and hypoglycemic transition periods, respectively. Adverse events were mild and unlikely to be device related.
CONCLUSION: This novel CGM system was safe and accurate across the clinically relevant glucose range.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 21880226      PMCID: PMC3192590          DOI: 10.1177/193229681100500406

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


  20 in total

1.  A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose.

Authors:  J L Parkes; S L Slatin; S Pardo; B H Ginsberg
Journal:  Diabetes Care       Date:  2000-08       Impact factor: 19.112

Review 2.  The original Clarke Error Grid Analysis (EGA).

Authors:  William L Clarke
Journal:  Diabetes Technol Ther       Date:  2005-10       Impact factor: 6.118

3.  Hypoglycemia in patients with type 2 diabetes mellitus.

Authors:  C D Miller; L S Phillips; D C Ziemer; D L Gallina; C B Cook; I M El-Kebbi
Journal:  Arch Intern Med       Date:  2001-07-09

4.  Evaluating the accuracy, reliability, and clinical applicability of continuous glucose monitoring (CGM): Is CGM ready for real time?

Authors:  Roger S Mazze; Ellie Strock; Sarah Borgman; David Wesley; Philip Stout; Joel Racchini
Journal:  Diabetes Technol Ther       Date:  2009-01       Impact factor: 6.118

Review 5.  Delays in minimally invasive continuous glucose monitoring devices: a review of current technology.

Authors:  D Barry Keenan; John J Mastrototaro; Gayane Voskanyan; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

6.  Accuracy of the SEVEN continuous glucose monitoring system: comparison with frequently sampled venous glucose measurements.

Authors:  Howard C Zisser; Timothy S Bailey; Sherwyn Schwartz; Robert E Ratner; Jonathan Wise
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

7.  Development of a highly responsive needle-type glucose sensor using polyimide for a wearable artificial endocrine pancreas.

Authors:  Shinji Ichimori; Kenro Nishida; Seiya Shimoda; Taiji Sekigami; Yasuto Matsuo; Kenshi Ichinose; Motoaki Shichiri; Michiharu Sakakida; Eiichi Araki
Journal:  J Artif Organs       Date:  2006       Impact factor: 1.731

8.  Comparison of the clinical information provided by the FreeStyle Navigator continuous interstitial glucose monitor versus traditional blood glucose readings.

Authors:  Geoffrey V McGarraugh; William L Clarke; Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2010-05       Impact factor: 6.118

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

Authors:  Brooke Jacobs; Kim Phan; Leonard Bertheau; Godwin Dogbey; Frank Schwartz; Jay Shubrook
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

Review 10.  Clinical review: Realistic expectations and practical use of continuous glucose monitoring for the endocrinologist.

Authors:  Irl B Hirsch
Journal:  J Clin Endocrinol Metab       Date:  2009-04-21       Impact factor: 5.958

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  4 in total

1.  Performance evaluation of three continuous glucose monitoring systems: comparison of six sensors per subject in parallel.

Authors:  Guido Freckmann; Stefan Pleus; Manuela Link; Eva Zschornack; Hans-Martin Klötzer; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

2.  The accuracy and efficacy of real-time continuous glucose monitoring sensor in Chinese diabetes patients: a multicenter study.

Authors:  Jian Zhou; Xiaofeng Lv; Yiming Mu; Xianling Wang; Jing Li; Xingguang Zhang; Jinxiao Wu; Yuqian Bao; Weiping Jia
Journal:  Diabetes Technol Ther       Date:  2012-08       Impact factor: 6.118

3.  Performance evaluation of a continuous glucose monitoring system under conditions similar to daily life.

Authors:  Stefan Pleus; Christina Schmid; Manuela Link; Eva Zschornack; Hans-Martin Klötzer; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

4.  Accuracy and Time Delay of Glucose Measurements of Continuous Glucose Monitoring and Bedside Artificial Pancreas During Hyperglycemic and Euglycemic Hyperinsulinemic Glucose Clamp Study.

Authors:  Akio Kuroda; Satoshi Taniguchi; Yuko Akehi; Hiroyasu Mori; Motoyuki Tamaki; Reiko Suzuki; Yinhua Otsuka; Munehide Matsuhisa
Journal:  J Diabetes Sci Technol       Date:  2017-10-09
  4 in total

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