Literature DB >> 24351170

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

Arturo Garcia1, Anna Leigh Rack-Gomer, Naresh C Bhavaraju, Haripriyan Hampapuram, Apurv Kamath, Thomas Peyser, Andrea Facchinetti, Chiara Zecchin, Giovanni Sparacino, Claudio Cobelli.   

Abstract

Input from continuous glucose monitors (CGMs) is a critical component of artificial pancreas (AP) systems, but CGM performance issues continue to limit progress in AP research. While G4 PLATINUM has been integrated into AP systems around the world and used in many successful AP controller feasibility studies, this system was designed to address the needs of ambulatory CGM users as an adjunctive use system. Dexcom and the University of Padova have developed an advanced CGM, called G4AP, to specifically address the heightened performance requirements for future AP studies. The G4AP employs the same sensor and transmitter as the G4 PLATINUM but contains updated denoising and calibration algorithms for improved accuracy and reliability. These algorithms were applied to raw data from an existing G4 PLATINUM clinical study using a simulated prospective procedure. The results show that mean absolute relative difference (MARD) compared with venous plasma glucose was improved from 13.2% with the G4 PLATINUM to 11.7% with the G4AP. Accuracy improvements were seen over all days of sensor wear and across the plasma glucose range (40-400 mg/dl). The greatest improvements occurred in the low glucose range (40-80 mg/dl), in euglycemia (80-120 mg/dl), and on the first day of sensor use. The percentage of sensors with a MARD <15% increased from 69% to 80%. Metrics proposed by the AP research community for addressing specific AP requirements were also computed. The G4AP consistently exhibited improved sensor performance compared with the G4 PLATINUM. These improvements are expected to enable further advances in AP research.
© 2013 Diabetes Technology Society.

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Year:  2013        PMID: 24351170      PMCID: PMC3876322          DOI: 10.1177/193229681300700604

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


  19 in total

1.  Enhanced accuracy of continuous glucose monitoring by online extended kalman filtering.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2010-05       Impact factor: 6.118

2.  A model-based algorithm for blood glucose control in type I diabetic patients.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

3.  Use of a "fuzzy logic" controller in a closed-loop artificial pancreas.

Authors:  Richard Mauseth; Irl B Hirsch; Jennifer Bollyky; Robert Kircher; Don Matheson; Srinath Sanda; Carla Greenbaum
Journal:  Diabetes Technol Ther       Date:  2013-07-05       Impact factor: 6.118

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

Authors:  Lalantha Leelarathna; 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
Journal:  Diabetes Technol Ther       Date:  2012-12-20       Impact factor: 6.118

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

Authors:  Mark Christiansen; Timothy Bailey; Elaine Watkins; David Liljenquist; David Price; Katherine Nakamura; Robert Boock; Thomas Peyser
Journal:  Diabetes Technol Ther       Date:  2013-06-18       Impact factor: 6.118

6.  A comparative effectiveness analysis of three continuous glucose monitors.

Authors:  Edward R Damiano; Firas H El-Khatib; Hui Zheng; David M Nathan; Steven J Russell
Journal:  Diabetes Care       Date:  2012-12-28       Impact factor: 19.112

7.  Feasibility of outpatient fully integrated closed-loop control: first studies of wearable artificial pancreas.

Authors:  Boris P Kovatchev; Eric Renard; Claudio Cobelli; Howard C Zisser; Patrick Keith-Hynes; Stacey M Anderson; Sue A Brown; Daniel R Chernavvsky; Marc D Breton; Anne Farret; Marie-Josée Pelletier; Jérôme Place; Daniela Bruttomesso; Simone Del Favero; Roberto Visentin; Alessio Filippi; Rachele Scotton; Angelo Avogaro; Francis J Doyle
Journal:  Diabetes Care       Date:  2013-07       Impact factor: 19.112

8.  Closed-loop basal insulin delivery over 36 hours in adolescents with type 1 diabetes: randomized clinical trial.

Authors:  Daniela Elleri; Janet M Allen; Kavita Kumareswaran; Lalantha Leelarathna; Marianna Nodale; Karen Caldwell; Peiyao Cheng; Craig Kollman; Ahmad Haidar; Helen R Murphy; Malgorzata E Wilinska; Carlo L Acerini; David B Dunger; Roman Hovorka
Journal:  Diabetes Care       Date:  2012-11-27       Impact factor: 19.112

9.  Clinical evaluation of a personalized artificial pancreas.

Authors:  Eyal Dassau; Howard Zisser; Rebecca A Harvey; Matthew W Percival; Benyamin Grosman; Wendy Bevier; Eran Atlas; Shahar Miller; Revital Nimri; Lois Jovanovic; Francis J Doyle
Journal:  Diabetes Care       Date:  2012-11-27       Impact factor: 19.112

10.  Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Stefania Guerra; Yoeri M Luijf; J Hans DeVries; Julia K Mader; Martin Ellmerer; Carsten Benesch; Lutz Heinemann; Daniela Bruttomesso; Angelo Avogaro; Claudio Cobelli
Journal:  Diabetes Care       Date:  2012-11-19       Impact factor: 19.112

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  19 in total

1.  Characterization of porous, dexamethasone-releasing polyurethane coatings for glucose sensors.

Authors:  Suzana G Vallejo-Heligon; Bruce Klitzman; William M Reichert
Journal:  Acta Biomater       Date:  2014-07-25       Impact factor: 8.947

2.  Hypoglycemia Reduction and Accuracy of Continuous Glucose Monitoring.

Authors:  Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2015-05-15       Impact factor: 6.118

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

4.  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

5.  Factory-Calibrated Continuous Glucose Sensors: The Science Behind the Technology.

Authors:  Udo Hoss; Erwin Satrya Budiman
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

6.  Glucose Sensing in the Subcutaneous Tissue: Attempting to Correlate the Immune Response with Continuous Glucose Monitoring Accuracy.

Authors:  Jeffrey I Joseph; Gabriella Eisler; David Diaz; Abdurizzagh Khalf; Channy Loeum; Marc C Torjman
Journal:  Diabetes Technol Ther       Date:  2018-05       Impact factor: 6.118

7.  Performance and Usability of Three Systems for Continuous Glucose Monitoring in Direct Comparison.

Authors:  Guido Freckmann; Manuela Link; Ulrike Kamecke; Cornelia Haug; Bernhard Baumgartner; Raimund Weitgasser
Journal:  J Diabetes Sci Technol       Date:  2019-02-07

8.  HypoDE: Research Design and Methods of a Randomized Controlled Study Evaluating the Impact of Real-Time CGM Usage on the Frequency of CGM Glucose Values <55 mg/dl in Patients With Type 1 Diabetes and Problematic Hypoglycemia Treated With Multiple Daily Injections.

Authors:  Lutz Heinemann; Dorothee Deiss; Norbert Hermanns; Claudia Graham; Matthias Kaltheuner; Andreas Liebl; David Price
Journal:  J Diabetes Sci Technol       Date:  2015-03-09

Review 9.  Future of Automated Insulin Delivery Systems.

Authors:  Jessica R Castle; J Hans DeVries; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

10.  Multisite Study of an Implanted Continuous Glucose Sensor Over 90 Days in Patients With Diabetes Mellitus.

Authors:  Andrew Dehennis; Mark A Mortellaro; Sorin Ioacara
Journal:  J Diabetes Sci Technol       Date:  2015-07-29
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