Literature DB >> 20001675

New features and performance of a next-generation SEVEN-day continuous glucose monitoring system with short lag time.

Timothy Bailey1, Howard Zisser, Anna Chang.   

Abstract

BACKGROUND: The purpose of this study was to evaluate new features and performance of the SEVEN PLUS System (DexCom, Inc., San Diego, CA), a real-time continuous glucose monitoring (CGM) device. This study is the first to evaluate the SEVEN PLUS device.
METHODS: Fifty-three subjects were enrolled at three U.S. centers; 43 (81%) of the subjects had type 1 diabetes mellitus, and 10 (19%) had insulin-requiring type 2 diabetes mellitus. Subjects inserted and wore either one or two sensors for 7 days. A subgroup (n = 18) wore two sensors to track precision. Subjects participated in one 8-h in-clinic session with blood draws every 15 min on study Day 1, 4, or 7 to collect laboratory reference YSI instrument (YSI, Yellow Springs, OH) and self-measured plasma glucose (SMPG) reference measurements. For the remainder of the week, CGM was used as an adjunct to SMPG during home use.
RESULTS: The overall median absolute relative difference (ARD) versus YSI was 13.0%. Zones A and B of the Clarke Error Grid of CGM measurements were 73.8% and 22.1%, respectively. Precision ARD was 15.3 +/- 6.2% (mean +/- SD). The median ARD versus SMPG was 12.1%. Sensor life (89% lasted 7 days) was improved compared to the SEVEN device. The lag time obtained with various statistical measures between CGM and YSI were similar and estimated as a median of 8 min (interquartile range, 11 min) using the Pearson correlation coefficient. No serious adverse events or infectious complications were reported.
CONCLUSIONS: The performance of this new system compares favorably to the previous SEVEN device in terms of accuracy, precision, lag time, sensor life, and rate of data capture.

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Year:  2009        PMID: 20001675     DOI: 10.1089/dia.2009.0075

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


  32 in total

1.  Extensive Assessment of Blood Glucose Monitoring During Postprandial Period and Its Impact on Closed-Loop Performance.

Authors:  Lyvia Biagi; Arthur Hirata Bertachi; Ignacio Conget; Carmen Quirós; Marga Giménez; F Javier Ampudia-Blasco; Paolo Rossetti; Jorge Bondia; Josep Vehí
Journal:  J Diabetes Sci Technol       Date:  2017-06-21

2.  Performance evaluation of three continuous glucose monitoring systems: comparison of six sensors per subject in parallel.

Authors:  Guido Freckmann; Stefan Pleus; Manuela Link; Eva Zschornack; Hans-Martin Klötzer; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

3.  Continuous glucose monitoring in the subcutaneous tissue over a 14-day sensor wear period.

Authors:  Udo Hoss; Erwin S Budiman; Hanqing Liu; Mark P Christiansen
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

4.  Model-based closed-loop glucose control in type 1 diabetes: the DiaCon experience.

Authors:  Signe Schmidt; Dimitri Boiroux; Anne Katrine Duun-Henriksen; Laurits Frøssing; Ole Skyggebjerg; John Bagterp Jørgensen; Niels Kjølstad Poulsen; Henrik Madsen; Sten Madsbad; Kirsten Nørgaard
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

5.  Benefits of blinded continuous glucose monitoring during a randomized clinical trial.

Authors:  Douglas Muchmore; Melissa Sharp; Daniel Vaughn
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

6.  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

Review 7.  New-generation diabetes management: glucose sensor-augmented insulin pump therapy.

Authors:  Eda Cengiz; Jennifer L Sherr; Stuart A Weinzimer; William V Tamborlane
Journal:  Expert Rev Med Devices       Date:  2011-07       Impact factor: 3.166

8.  Minimizing the impact of time lag variability on accuracy evaluation of continuous glucose monitoring systems.

Authors:  Cosimo Scuffi; Fausto Lucarelli; Francesco Valgimigli
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

9.  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

10.  Continuous glucose monitoring accuracy results vary between assessment at home and assessment at the clinical research center.

Authors:  Yoeri M Luijf; Angelo Avogaro; Carsten Benesch; Daniela Bruttomesso; Claudio Cobelli; Martin Ellmerer; Lutz Heinemann; Julia K Mader; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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