Literature DB >> 19905884

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

Apurv Kamath1, Aarthi Mahalingam, James Brauker.   

Abstract

BACKGROUND: It has been assumed that continuous glucose sensors show substantial time lags versus blood glucose. This assumption has led to suggestions that sensors are less accurate during rapidly changing glucose levels and that sensors should only be calibrated when glucose levels are stable. The analysis presented here tests the assumption of substantial sensor time lag and its suggested effects using clinical data from the DexCom (San Diego, CA) SEVEN.
METHODS: Sensor and blood glucose data were collected from 117 adult subjects with insulin-dependent diabetes. Each subject wore the sensor for 7 days and underwent an 8-10-h in-clinic tracking study during which blood glucose was measured every 15-20 min. Accuracy (absolute relative difference [ARD]) versus blood glucose rate of change was evaluated on the in-clinic data set. The effect on accuracy of calibration during rapid rates of change was evaluated on the combined home-use and in-clinic data set.
RESULTS: Average sensor time lag versus blood glucose was 5.7 min. Mean ARD versus rate of change (less than -2 to >2 mg/dL/minute) ranged between 15.0% to 16.3%. Across rates of change during calibration, mean ARD after calibration ranged between 13.2% and 16.0%. Calibration with reference measurements instead of patient measurements improved overall mean ARD from 16.0% to 8.5%.
CONCLUSIONS: For this sensor, the assumption of substantial time lag and its suggested effects may be incorrect. The main source of error is the calibration process.

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Year:  2009        PMID: 19905884     DOI: 10.1089/dia.2009.0060

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  38 in total

1.  Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.

Authors:  Francesco Valgimigli; Fausto Lucarelli; Cosimo Scuffi; Sara Morandi; Iolanda Sposato
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Continuous glucose monitoring in subjects with type 1 diabetes: improvement in accuracy by correcting for background current.

Authors:  Joseph El Youssef; Jessica R Castle; Julia M Engle; Ryan G Massoud; W Kenneth Ward
Journal:  Diabetes Technol Ther       Date:  2010-09-30       Impact factor: 6.118

3.  Modeling Plasma-to-Interstitium Glucose Kinetics from Multitracer Plasma and Microdialysis Data.

Authors:  Michele Schiavon; Chiara Dalla Man; Simmi Dube; Michael Slama; Yogish C Kudva; Thomas Peyser; Ananda Basu; Rita Basu; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2015-08-27       Impact factor: 6.118

4.  New Criteria for Assessing the Accuracy of Blood Glucose Monitors meeting, October 28, 2011.

Authors:  John Walsh; Ruth Roberts; Robert A Vigersky; Frank Schwartz
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

5.  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

6.  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

7.  First clinical evaluation of a new percutaneous optical fiber glucose sensor for continuous glucose monitoring in diabetes.

Authors:  Achim Josef Müller; Monika Knuth; Katharina Sibylle Nikolaus; Roland Krivánek; Frank Küster; Christoph Hasslacher
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

8.  Preclinical Performance Evaluation of Percutaneous Glucose Biosensors: Experimental Considerations and Recommendations.

Authors:  Robert J Soto; Mark H Schoenfisch
Journal:  J Diabetes Sci Technol       Date:  2015-06-17

Review 9.  Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.

Authors:  Guido Freckmann; Stefan Pleus; Mike Grady; Steven Setford; Brian Levy
Journal:  J Diabetes Sci Technol       Date:  2018-11-19

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

Authors:  Yoeri M Luijf; Angelo Avogaro; Carsten Benesch; Daniela Bruttomesso; Claudio Cobelli; Martin Ellmerer; Lutz Heinemann; Julia K Mader; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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