Literature DB >> 23063036

Continuous glucose monitoring accuracy results vary between assessment at home and assessment at the clinical research center.

Yoeri M Luijf1, Angelo Avogaro, Carsten Benesch, Daniela Bruttomesso, Claudio Cobelli, Martin Ellmerer, Lutz Heinemann, Julia K Mader, J Hans DeVries.   

Abstract

BACKGROUND: Continuous glucose monitoring system (CGMS) accuracy is of critical importance both in delivering therapeutic value and as a component of a closed-loop system. This study aims at assessing the differences between accuracy assessments of CGMS at home and at the clinical research center (CRC).
METHODS: Twelve patients with type 1 diabetes used the Dexcom® SEVEN® PLUS (DexCom, Inc.) CGMS for 7 days. Patients performed ≥6 finger pricks [self-measurement of blood glucose (SMBG)] per day while at home. Reference blood glucose measurements were taken during a 24 h CRC admission (YSI 2300 STAT Plus™). Continuous glucose monitoring system data were compared with YSI and SMBG values. Outcome measures included mean absolute relative difference (MARD) and Clarke error grid analysis (CEGA).
RESULTS: During CRC admission, the MARD of CGMS vs YSI glucose values was 19.2% (n = 509)--significantly higher than 16.8% at home (n = 611) (p = .004). In the hypoglycemic range, MARD was 23.9% at CRC (n = 26)--not significantly different from 41.6% at home (n = 39) (p = .269). In the hyperglycemic range, CRC MARD at 20.3% (n = 115) was significantly higher than home MARD at 11.2% (n = 118) (p = .001). Clarke error grid analysis showed no significant difference in distribution of data pairs (overall p = .317).
CONCLUSIONS: This study illustrates the importance of the setting used when assessing CGMS accuracy. Continuous glucose monitoring system accuracy at home appeared better than at the CRC. This is probably due to the higher sampling rate of reference measurements, feasible only in the CRC. Testing CGMS accuracy in the CRC provides valuable information over and above home testing.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 23063036      PMCID: PMC3570844          DOI: 10.1177/193229681200600514

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


  10 in total

Review 1.  How to assess and compare the accuracy of continuous glucose monitors?

Authors:  I M E Wentholt; A A M Hart; J B L Hoekstra; J H Devries
Journal:  Diabetes Technol Ther       Date:  2008-04       Impact factor: 6.118

2.  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

3.  Analysis of time lags and other sources of error of the DexCom SEVEN continuous glucose monitor.

Authors:  Apurv Kamath; Aarthi Mahalingam; James Brauker
Journal:  Diabetes Technol Ther       Date:  2009-11       Impact factor: 6.118

4.  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

5.  Identifying variables associated with inaccurate self-monitoring of blood glucose: proposed guidelines to improve accuracy.

Authors:  R Bergenstal; J Pearson; G S Cembrowski; D Bina; J Davidson; S List
Journal:  Diabetes Educ       Date:  2000 Nov-Dec       Impact factor: 2.140

6.  [Accuracy and safety of continuous glucose monitoring system in diabetic and non-diabetic subjects].

Authors:  Li-fang Lü; Chun Wang; Yan-zhi Yang; Li-ping He; Guan-jian Liu; Da-wei Chen; Li Zhong; Li-hong Chen; Hao-ming Tian; Jian Zhou; Wei-ping Jia; Xing-wu Ran
Journal:  Zhonghua Yi Xue Za Zhi       Date:  2010-11-16

7.  New features and performance of a next-generation SEVEN-day continuous glucose monitoring system with short lag time.

Authors:  Timothy Bailey; Howard Zisser; Anna Chang
Journal:  Diabetes Technol Ther       Date:  2009-12       Impact factor: 6.118

8.  Sense and nonsense in sensors.

Authors:  J Hermanides; J H DeVries
Journal:  Diabetologia       Date:  2010-01-10       Impact factor: 10.122

Review 9.  Continuous glucose monitors: the long-awaited watch dogs?

Authors:  I M E Wentholt; J B L Hoekstra; J H Devries
Journal:  Diabetes Technol Ther       Date:  2007-10       Impact factor: 6.118

10.  Continuous glucose sensing: future technology developments.

Authors:  Jim Brauker
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

  10 in total
  15 in total

1.  Performance Comparison of CGM Systems: MARD Values Are Not Always a Reliable Indicator of CGM System Accuracy.

Authors:  Harald Kirchsteiger; Lutz Heinemann; Guido Freckmann; Volker Lodwig; Günther Schmelzeisen-Redeker; Michael Schoemaker; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2015-09-01

2.  Assessing the Accuracy of Continuous Glucose Monitoring (CGM) Calibrated With Capillary Values Using Capillary or Venous Glucose Levels as a Reference.

Authors:  Mervi Andelin; Jort Kropff; Viktorija Matuleviciene; Jeffrey I Joseph; Stig Attvall; Elvar Theodorsson; Irl B Hirsch; Henrik Imberg; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; J Hans DeVries; Marcus Lind
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

3.  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

4.  Accuracy and reliability of continuous glucose monitoring systems: a head-to-head comparison.

Authors:  Yoeri M Luijf; Julia K Mader; Werner Doll; Thomas Pieber; Anne Farret; Jerome Place; Eric Renard; Daniela Bruttomesso; Alessio Filippi; Angelo Avogaro; Sabine Arnolds; Carsten Benesch; Lutz Heinemann; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-05-07       Impact factor: 6.118

5.  Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.

Authors:  Lutz Heinemann; Michael Schoemaker; Günther Schmelzeisen-Redecker; Rolf Hinzmann; Adham Kassab; Guido Freckmann; Florian Reiterer; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2019-06-19

6.  Significance and Reliability of MARD for the Accuracy of CGM Systems.

Authors:  Florian Reiterer; Philipp Polterauer; Michael Schoemaker; Guenther Schmelzeisen-Redecker; Guido Freckmann; Lutz Heinemann; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

Review 7.  Practical Considerations on the Use of Continuous Glucose Monitoring in Pediatrics and Older Adults and Nonadjunctive Use.

Authors:  Gregory P Forlenza; Nicholas B Argento; Lori M Laffel
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

8.  Characterizing accuracy and precision of glucose sensors and meters.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2014-07-18

9.  Evaluation of the performance of a novel system for continuous glucose monitoring.

Authors:  Eva Zschornack; Christina Schmid; Stefan Pleus; Manuela Link; Hans-Martin Klötzer; Karin Obermaier; Michael Schoemaker; Monika Strasser; Gerhard Frisch; Günther Schmelzeisen-Redeker; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

10.  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
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