Literature DB >> 23777402

A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system.

Mark Christiansen1, Timothy Bailey, Elaine Watkins, David Liljenquist, David Price, Katherine Nakamura, Robert Boock, Thomas Peyser.   

Abstract

BACKGROUND: Use of continuous glucose monitoring (CGM) systems can improve glycemic control, but widespread adoption of CGM utilization has been limited, in part because of real and perceived problems with accuracy and reliability. This study compared accuracy and performance metrics for a new-generation CGM system with those of a previous-generation device. SUBJECTS AND METHODS: Subjects were enrolled in a 7-day, open-label, multicenter pivotal study. Sensor readings were compared with venous YSI measurements (blood glucose analyzer from YSI Inc., Yellow Springs, OH) every 15 min (±5 min) during in-clinic visits. The aggregate and individual sensor accuracy and reliability of a new CGM system, the Dexcom(®) (San Diego, CA) G4™ PLATINUM (DG4P), were compared with those of the previous CGM system, the Dexcom SEVEN(®) PLUS (DSP).
RESULTS: Both study design and subject characteristics were similar. The aggregate mean absolute relative difference (MARD) for DG4P was 13% compared with 16% for DSP (P<0.0001), and 82% of DG4P readings were within ± 20 mg/dL (for YSI ≤ 80 mg/dL) or 20% of YSI values (for YSI >80 mg/dL) compared with 76% for DSP (P<0.001). Ninety percent of the DG4P sensors had an individual MARD ≤ 20% compared with only 76% of DSP sensors (P=0.015). Half of DG4P sensors had a MARD less than 12.5% compared with 14% for the DSP sensors (P=0.028). The mean absolute difference for biochemical hypoglycemia (YSI <70 mg/dL) for DG4P was 11 mg/dL compared with 16 mg/dL for DSP (P<0.001).
CONCLUSIONS: The performance of DG4P was significantly improved compared with that of DSP, which may increase routine clinical use of CGM and improve patient outcomes.

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Year:  2013        PMID: 23777402      PMCID: PMC3781114          DOI: 10.1089/dia.2013.0077

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


  35 in total

1.  Response to nocturnal alarms using a real-time glucose sensor.

Authors:  Bruce Buckingham; Jen Block; Jonathan Burdick; Andrea Kalajian; Craig Kollman; Michael Choy; Darrell M Wilson; Peter Chase
Journal:  Diabetes Technol Ther       Date:  2005-06       Impact factor: 6.118

2.  Relationship of fasting and hourly blood glucose levels to HbA1c values: safety, accuracy, and improvements in glucose profiles obtained using a 7-day continuous glucose sensor.

Authors:  Satish Garg; Lois Jovanovic
Journal:  Diabetes Care       Date:  2006-12       Impact factor: 19.112

Review 3.  Continuous glucose monitoring and closed-loop systems.

Authors:  R Hovorka
Journal:  Diabet Med       Date:  2006-01       Impact factor: 4.359

4.  Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial.

Authors:  Satish Garg; Howard Zisser; Sherwyn Schwartz; Timothy Bailey; Roy Kaplan; Samuel Ellis; Lois Jovanovic
Journal:  Diabetes Care       Date:  2006-01       Impact factor: 19.112

5.  Statement by the American Association of Clinical Endocrinologists Consensus Panel on continuous glucose monitoring.

Authors:  Thomas C Blevins; Bruce W Bode; Satish K Garg; George Grunberger; Irl B Hirsch; Lois Jovanovič; Elizabeth Nardacci; Eric A Orzeck; Victor L Roberts; William V Tamborlane; Caitlin Rothermel
Journal:  Endocr Pract       Date:  2010 Sep-Oct       Impact factor: 3.443

6.  The role of reimbursement in the adoption of continuous glucose monitors.

Authors:  Amanda Bartelme; Perry Bridger
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

7.  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

8.  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

9.  Current application of continuous glucose monitoring in the treatment of diabetes: pros and cons.

Authors:  Jeroen Hermanides; Moshe Phillip; J Hans DeVries
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

10.  Effect of continuous glucose monitoring on hypoglycemia in type 1 diabetes.

Authors:  Tadej Battelino; Moshe Phillip; Natasa Bratina; Revital Nimri; Per Oskarsson; Jan Bolinder
Journal:  Diabetes Care       Date:  2011-02-19       Impact factor: 19.112

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  51 in total

1.  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

Review 2.  Moving Toward a Unified Platform for Insulin Delivery and Sensing of Inputs Relevant to an Artificial Pancreas.

Authors:  Anneke Graf; Sybil A McAuley; Catriona Sims; Johanna Ulloa; Alicia J Jenkins; Gayane Voskanyan; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-12-13

3.  Analysis: The Accuracy and Efficacy of the Dexcom G4 Platinum Continuous Glucose Monitoring System.

Authors:  Cornelis A J van Beers; J H DeVries
Journal:  J Diabetes Sci Technol       Date:  2015-04-27

Review 4.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

5.  Designing an artificial pancreas architecture: the AP@home experience.

Authors:  Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

6.  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

7.  Tissue Response to Subcutaneous Infusion Catheter.

Authors:  Ershuai Zhang; Zhiqiang Cao
Journal:  J Diabetes Sci Technol       Date:  2019-03-31

8.  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

9.  Redundancy in Glucose Sensing: Enhanced Accuracy and Reliability of an Electrochemical Redundant Sensor for Continuous Glucose Monitoring.

Authors:  Amin Sharifi; Andrea Varsavsky; Johanna Ulloa; Jodie C Horsburgh; Sybil A McAuley; Balasubramanian Krishnamurthy; Alicia J Jenkins; Peter G Colman; Glenn M Ward; Richard J MacIsaac; Rajiv Shah; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 10.  Controlled release of biologics for the treatment of type 2 diabetes.

Authors:  Caslin A Gilroy; Kelli M Luginbuhl; Ashutosh Chilkoti
Journal:  J Control Release       Date:  2015-12-02       Impact factor: 9.776

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