Literature DB >> 23256605

Evaluating the accuracy and large inaccuracy of two continuous glucose monitoring systems.

Lalantha Leelarathna1, Marianna Nodale, Janet M Allen, Daniela Elleri, Kavita Kumareswaran, Ahmad Haidar, Karen Caldwell, Malgorzata E Wilinska, Carlo L Acerini, Mark L Evans, Helen R Murphy, David B Dunger, Roman Hovorka.   

Abstract

OBJECTIVE: This study evaluated the accuracy and large inaccuracy of the Freestyle Navigator (FSN) (Abbott Diabetes Care, Alameda, CA) and Dexcom SEVEN PLUS (DSP) (Dexcom, Inc., San Diego, CA) continuous glucose monitoring (CGM) systems during closed-loop studies. RESEARCH DESIGN AND METHODS: Paired CGM and plasma glucose values (7,182 data pairs) were collected, every 15-60 min, from 32 adults (36.2±9.3 years) and 20 adolescents (15.3±1.5 years) with type 1 diabetes who participated in closed-loop studies. Levels 1, 2, and 3 of large sensor error with increasing severity were defined according to absolute relative deviation greater than or equal to ±40%, ±50%, and ±60% at a reference glucose level of ≥6 mmol/L or absolute deviation greater than or equal to ±2.4 mmol/L,±3.0 mmol/L, and ±3.6 mmol/L at a reference glucose level of <6 mmol/L.
RESULTS: Median absolute relative deviation was 9.9% for FSN and 12.6% for DSP. Proportions of data points in Zones A and B of Clarke error grid analysis were similar (96.4% for FSN vs. 97.8% for DSP). Large sensor over-reading, which increases risk of insulin over-delivery and hypoglycemia, occurred two- to threefold more frequently with DSP than FSN (once every 2.5, 4.6, and 10.7 days of FSN use vs. 1.2, 2.0, and 3.7 days of DSP use for Level 1-3 errors, respectively). At levels 2 and 3, large sensor errors lasting 1 h or longer were absent with FSN but persisted with DSP.
CONCLUSIONS: FSN and DSP differ substantially in the frequency and duration of large inaccuracy despite only modest differences in conventional measures of numerical and clinical accuracy. Further evaluations are required to confirm that FSN is more suitable for integration into closed-loop delivery systems.

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Year:  2012        PMID: 23256605      PMCID: PMC3558677          DOI: 10.1089/dia.2012.0245

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


  23 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

2.  Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurements.

Authors:  Richard L Weinstein; Sherwyn L Schwartz; Ronald L Brazg; Jolyon R Bugler; Thomas A Peyser; Geoffrey V McGarraugh
Journal:  Diabetes Care       Date:  2007-03-02       Impact factor: 19.112

3.  Comparison of the numerical and clinical accuracy of four continuous glucose monitors.

Authors:  Boris Kovatchev; Stacey Anderson; Lutz Heinemann; William Clarke
Journal:  Diabetes Care       Date:  2008-03-13       Impact factor: 19.112

4.  Statistical tools to analyze continuous glucose monitor data.

Authors:  William Clarke; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

5.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

6.  Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia.

Authors:  Marc Breton; Anne Farret; Daniela Bruttomesso; Stacey Anderson; Lalo Magni; Stephen Patek; Chiara Dalla Man; Jerome Place; Susan Demartini; Simone Del Favero; Chiara Toffanin; Colleen Hughes-Karvetski; Eyal Dassau; Howard Zisser; Francis J Doyle; Giuseppe De Nicolao; Angelo Avogaro; Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2012-06-11       Impact factor: 9.461

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.  Comparison of accuracy and safety of the SEVEN and the Navigator continuous glucose monitoring systems.

Authors:  Satish K Garg; James Smith; Christie Beatson; Benita Lopez-Baca; Mary Voelmle; Peter A Gottlieb
Journal:  Diabetes Technol Ther       Date:  2009-02       Impact factor: 6.118

9.  Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas.

Authors:  Stuart A Weinzimer; Garry M Steil; Karena L Swan; Jim Dziura; Natalie Kurtz; William V Tamborlane
Journal:  Diabetes Care       Date:  2008-02-05       Impact factor: 19.112

10.  Continuing stability of center differences in pediatric diabetes care: do advances in diabetes treatment improve outcome? The Hvidoere Study Group on Childhood Diabetes.

Authors:  Carine E de Beaufort; Peter G F Swift; Chas T Skinner; Henk J Aanstoot; Jan Aman; Fergus Cameron; Pedro Martul; Francesco Chiarelli; Dennis Daneman; Thomas Danne; Harry Dorchy; Hilary Hoey; Eero A Kaprio; Francine Kaufman; Mirjana Kocova; Henrik B Mortensen; Pal R Njølstad; Moshe Phillip; Kenneth J Robertson; Eugen J Schoenle; Tatsuhiko Urakami; Maurizio Vanelli
Journal:  Diabetes Care       Date:  2007-05-31       Impact factor: 19.112

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  21 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.  Evaluation of stochastic adjustment for glucose sensor bias during closed-loop insulin delivery.

Authors:  Craig Kollman; Peter Calhoun; John Lum; Werner Sauer; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2013-11-15       Impact factor: 6.118

4.  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

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.  Analysis of the Accuracy and Performance of a Continuous Glucose Monitoring Sensor Prototype: An In-Silico Study Using the UVA/PADOVA Type 1 Diabetes Simulator.

Authors:  Marc D Breton; Rolf Hinzmann; Enrique Campos-Nañez; Susan Riddle; Michael Schoemaker; Guenther Schmelzeisen-Redeker
Journal:  J Diabetes Sci Technol       Date:  2016-12-13

Review 7.  Current Trends in Continuous Glucose Monitoring.

Authors:  Volker Lodwig; Bernhard Kulzer; Oliver Schnell; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2014-03-13

8.  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

9.  Dexcom G4AP: an advanced continuous glucose monitor for the artificial pancreas.

Authors:  Arturo Garcia; Anna Leigh Rack-Gomer; Naresh C Bhavaraju; Haripriyan Hampapuram; Apurv Kamath; Thomas Peyser; Andrea Facchinetti; Chiara Zecchin; Giovanni Sparacino; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

10.  Lag Time Remains with Newer Real-Time Continuous Glucose Monitoring Technology During Aerobic Exercise in Adults Living with Type 1 Diabetes.

Authors:  Dessi P Zaharieva; Kamuran Turksoy; Sarah M McGaugh; Rubin Pooni; Todd Vienneau; Trang Ly; Michael C Riddell
Journal:  Diabetes Technol Ther       Date:  2019-05-06       Impact factor: 6.118

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