Literature DB >> 27356172

Comparison of Two Continuous Glucose Monitoring Systems, Dexcom G4 Platinum and Medtronic Paradigm Veo Enlite System, at Rest and During Exercise.

Nadine Taleb1,2, Ali Emami1,3, Corinne Suppere1, Virginie Messier1, Laurent Legault4, Jean-Louis Chiasson5,6, Rémi Rabasa-Lhoret1,6,7, Ahmad Haidar8,9.   

Abstract

BACKGROUND: Despite technological advances, the accuracy of continuous glucose monitoring (CGM) systems may not always be satisfactory with rapidly changing glucose levels, as is notable during exercise. We compare the performance of two current and widely used CGM systems, Dexcom G4 Platinum (Dexcom) and Medtronic Paradigm Veo Enlite system (Enlite), during both rest and exercise in adults with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: Paired sensor and plasma glucose (PG) values (total of 431 data pairs for Dexcom and 425 for Enlite) were collected from 17 adults (37.3 ± 13.6 years) with T1D. To evaluate and compare the accuracy of sensor readings, criteria involving sensor bias (sensor minus PG levels), absolute relative difference (ARD), and percentage of readings meeting International Organization for Standardization (ISO) criteria were considered.
RESULTS: Both Dexcom and Enlite performed equally well during the rest period, with respective mean/median biases of -0.12/-0.02 mmol/L versus -0.18/-0.40 (P = 0.78, P = 0.66) mmol/L and ARDs of 13.77/13.34% versus 12.38/11.95% (P = 0.53, P = 0.70). During exercise, sensor bias means/medians were -0.40/-0.21 mmol versus -0.26/-0.24 mmol/L (P = 0.67, P = 0.62) and ARDs were 22.53/15.13% versus 20.44/14.11% (P = 0.58, P = 0.68) for Dexcom and Enlite, respectively. Both sensors demonstrated significantly lower performance during exercise; median ARD comparison at rest versus exercise for both Dexcom and Enlite showed a P = 0.02. More data pairs met the ISO criteria for Dexcom and Enlite at rest, 73.6% and 76.9% compared with exercise 48.2% and 53.9%.
CONCLUSION: Dexcom and Enlite demonstrated comparable overall performances during rest and physical activity. However, a lower accuracy was observed during exercise for both sensors, necessitating a fine-tuning of their performance with physical activity.

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Year:  2016        PMID: 27356172     DOI: 10.1089/dia.2015.0394

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


  20 in total

1.  The Effects of Basal Insulin Suspension at the Start of Exercise on Blood Glucose Levels During Continuous Versus Circuit-Based Exercise in Individuals with Type 1 Diabetes on Continuous Subcutaneous Insulin Infusion.

Authors:  Dessi Zaharieva; Loren Yavelberg; Veronica Jamnik; Ali Cinar; Kamuran Turksoy; Michael C Riddell
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

2.  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

3.  Stability of Commercially Available Glucagon Formulation for Dual-Hormone Artificial Pancreas Clinical Use.

Authors:  Nadine Taleb; Adèle Coriati; Christian Khazzaka; Jonathan Bayonne; Virginie Messier; Rémi Rabasa-Lhoret
Journal:  Diabetes Technol Ther       Date:  2017-08-28       Impact factor: 6.118

4.  Comparing Real-Time Self-Tracking and Device-Recorded Exercise Data in Subjects with Type 1 Diabetes.

Authors:  Danielle Groat; Hyo Jung Kwon; Maria Adela Grando; Curtiss B Cook; Bithika Thompson
Journal:  Appl Clin Inform       Date:  2018-12-26       Impact factor: 2.342

5.  Efficacy of single-hormone and dual-hormone artificial pancreas during continuous and interval exercise in adult patients with type 1 diabetes: randomised controlled crossover trial.

Authors:  Nadine Taleb; Ali Emami; Corinne Suppere; Virginie Messier; Laurent Legault; Martin Ladouceur; Jean-Louis Chiasson; Ahmad Haidar; Rémi Rabasa-Lhoret
Journal:  Diabetologia       Date:  2016-10-04       Impact factor: 10.122

Review 6.  Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives.

Authors:  Sémah Tagougui; Nadine Taleb; Joséphine Molvau; Élisabeth Nguyen; Marie Raffray; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2019-08-13

Review 7.  Improving the clinical value and utility of CGM systems: issues and recommendations : A joint statement of the European Association for the Study of Diabetes and the American Diabetes Association Diabetes Technology Working Group.

Authors:  John R Petrie; Anne L Peters; Richard M Bergenstal; Reinhard W Holl; G Alexander Fleming; Lutz Heinemann
Journal:  Diabetologia       Date:  2017-10-25       Impact factor: 10.122

Review 8.  Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

9.  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

Review 10.  The challenges of achieving postprandial glucose control using closed-loop systems in patients with type 1 diabetes.

Authors:  Véronique Gingras; Nadine Taleb; Amélie Roy-Fleming; Laurent Legault; Rémi Rabasa-Lhoret
Journal:  Diabetes Obes Metab       Date:  2017-08-10       Impact factor: 6.577

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