Literature DB >> 25233297

A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor (Dexcom G4 system) and Enlite sensor (guardian REAL-time system) tested simultaneously in ambulatory patients with type 1 diabetes.

Viktorija Matuleviciene1, Jeffrey I Joseph, Mervi Andelin, Irl B Hirsch, Stig Attvall, Aldina Pivodic, Sofia Dahlqvist, David Klonoff, Börje Haraldsson, Marcus Lind.   

Abstract

BACKGROUND: Continuous glucose monitoring (CGM) is a tool widely used in the treatment of patients with type 1 diabetes. The purpose of the current study was to evaluate whether accuracy and patient treatment satisfaction differ between the Enlite™ (Medtronic MiniMed, Inc., Northridge, CA) and Dexcom(®) (San Diego, CA) G4 PLATINUM CGM sensors. SUBJECTS AND METHODS: Thirty-eight ambulatory patients with type 1 diabetes used the Dexcom G4 and Enlite sensors simultaneously for a minimum of 4 and maximum of 6 days. Patients measured capillary glucose levels with a HemoCue(®) (Ängelholm, Sweden) system six to 10 times a day. In addition, two inpatient studies were performed between Days 1-3 and 4-6.
RESULTS: The mean absolute relative difference (MARD) in blood glucose for the Dexcom G4 was significantly lower (13.9%) than for the Enlite sensor (17.8%) (P<0.0001). The corresponding MARDs for Days 1-3 were 15.0% versus 19.4% (P=0.0027) and 13.6% versus 15.9% (P=0.026) for Days 4-6. For glucose levels in the hypoglycemic range (<4.0 mmol/L), the MARD for the Dexcom G4 was 20.0% compared with 34.7% for the Enlite (P=0.0041). On a visual analog scale (VAS) (0-100), patients rated the Dexcom G4 more favorably than the Enlite in 12 out of the 13 user experience questions. For example, more patients rated their experience with the Dexcom G4 as positive (VAS, 79.7 vs. 46.6; P<0.0001) and preferred to use it in their daily lives (VAS, 79.1 vs. 42.1; P<0.0001).
CONCLUSIONS: The Dexcom G4 sensor was associated with greater overall accuracy than the Enlite sensor during initial (Days 1-3) and later (Days 4-6) use and for glucose levels in the hypoglycemic range. Patients reported a significantly more positive experience using the Dexcom G4 than the Enlite.

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Year:  2014        PMID: 25233297      PMCID: PMC4201312          DOI: 10.1089/dia.2014.0238

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


  19 in total

1.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

2.  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

3.  Long-term mortality in a nationwide cohort of childhood-onset type 1 diabetic patients in Norway.

Authors:  T Skrivarhaug; H-J Bangstad; L C Stene; L Sandvik; K F Hanssen; G Joner
Journal:  Diabetologia       Date:  2005-12-20       Impact factor: 10.122

4.  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

5.  The British Diabetic Association Cohort Study, I: all-cause mortality in patients with insulin-treated diabetes mellitus.

Authors:  S P Laing; A J Swerdlow; S D Slater; J L Botha; A C Burden; N R Waugh; A W Smith; R D Hill; P J Bingley; C C Patterson; Z Qiao; H Keen
Journal:  Diabet Med       Date:  1999-06       Impact factor: 4.359

6.  Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes.

Authors:  Richard M Bergenstal; William V Tamborlane; Andrew Ahmann; John B Buse; George Dailey; Stephen N Davis; Carol Joyce; Tim Peoples; Bruce A Perkins; John B Welsh; Steven M Willi; Michael A Wood
Journal:  N Engl J Med       Date:  2010-06-29       Impact factor: 91.245

7.  Associations between features of glucose exposure and A1C: the A1C-Derived Average Glucose (ADAG) study.

Authors:  Rikke Borg; Judith C Kuenen; Bendix Carstensen; Hui Zheng; David M Nathan; Robert J Heine; Jorn Nerup; Knut Borch-Johnsen; Daniel R Witte
Journal:  Diabetes       Date:  2010-04-27       Impact factor: 9.461

8.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

9.  Cause-specific mortality trends in a large population-based cohort with long-standing childhood-onset type 1 diabetes.

Authors:  Aaron M Secrest; Dorothy J Becker; Sheryl F Kelsey; Ronald E Laporte; Trevor J Orchard
Journal:  Diabetes       Date:  2010-08-25       Impact factor: 9.461

10.  Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes.

Authors:  Roy W Beck; Bruce Buckingham; Kellee Miller; Howard Wolpert; Dongyuan Xing; Jennifer M Block; H Peter Chase; Irl Hirsch; Craig Kollman; Lori Laffel; Jean M Lawrence; Kerry Milaszewski; Katrina J Ruedy; William V Tamborlane
Journal:  Diabetes Care       Date:  2009-08-12       Impact factor: 19.112

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  39 in total

1.  Are Systematic Reviews and Meta-Analyses Appropriate Tools for Assessing Evolving Medical Device Technologies?

Authors:  David Price; Claudia Graham; Christopher G Parkin; Thomas A Peyser
Journal:  J Diabetes Sci Technol       Date:  2015-09-29

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.  Differences for Percentage Times in Glycemic Range Between Continuous Glucose Monitoring and Capillary Blood Glucose Monitoring in Adults with Type 1 Diabetes: Analysis of the REPLACE-BG Dataset.

Authors:  Parizad Avari; Chukwuma Uduku; Daniel George; Pau Herrero; Monika Reddy; Nick Oliver
Journal:  Diabetes Technol Ther       Date:  2019-11-01       Impact factor: 6.118

4.  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

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.  Insulin Infusion Sets and Continuous Glucose Monitoring Sensors: Where the Artificial Pancreas Meets the Patient.

Authors:  Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2017-04       Impact factor: 6.118

Review 7.  Closing the Loop.

Authors:  Revital Nimri; Nathan Murray; Alexander Ochs; Jordan E Pinsker; Eyal Dassau
Journal:  Diabetes Technol Ther       Date:  2017-02       Impact factor: 6.118

8.  Multi-Model Sensor Fault Detection and Data Reconciliation: A Case Study with Glucose Concentration Sensors for Diabetes.

Authors:  Jianyuan Feng; Iman Hajizadeh; Xia Yu; Mudassir Rashid; Sediqeh Samadi; Mert Sevil; Nicole Hobbs; Rachel Brandt; Caterina Lazaro; Zacharie Maloney; Elizabeth Littlejohn; Laurie Quinn; Ali Cinar
Journal:  AIChE J       Date:  2018-10-05       Impact factor: 3.993

9.  Continuous Glucose Monitoring, Glycemic Variability, and Excessive Fetal Growth in Pregnancies Complicated by Type 1 Diabetes.

Authors:  Bethany M Mulla; Nudrat Noor; Tamarra James-Todd; Elvira Isganaitis; Tamara C Takoudes; Ashley Curran; Celestine E Warren; Karen E O'Brien; Florence M Brown
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118

10.  Hypoglycemia Detection and Carbohydrate Suggestion in an Artificial Pancreas.

Authors:  Kamuran Turksoy; Jennifer Kilkus; Iman Hajizadeh; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Caterina Lazaro; Nicole Frantz; Elizabeth Littlejohn; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2016-11-01
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