Literature DB >> 24758729

Accuracy and acceptability of the 6-day Enlite continuous subcutaneous glucose sensor.

Timothy S Bailey1, Andrew Ahmann, Ronald Brazg, Mark Christiansen, Satish Garg, Elaine Watkins, John B Welsh, Scott W Lee.   

Abstract

OBJECTIVE: This study evaluated the performance and acceptability of the Enlite(®) glucose sensor (Medtronic MiniMed, Inc., Northridge, CA). SUBJECTS AND METHODS: Ninety adults with type 1 or type 2 diabetes wore two Enlite sensors on the abdomen and/or buttock for 6 days and calibrated them at different frequencies. On Days 1, 3, and 6, accuracy was evaluated by comparison of sensor glucose values with frequently sampled plasma glucose values collected over a 12-h period. Accuracy was assessed at different reference glucose concentrations and during times when absolute glucose concentration rates of change were <1, 1-2, and >2 mg/dL/min. The sensor's ability to detect hypoglycemia or hyperglycemia was evaluated with simulated alerts. Subject satisfaction was evaluated with a 7-point Likert-type questionnaire, with a score of 7 indicating strong agreement.
RESULTS: With abdomen sensors under actual-use calibration (mean, 2.8 ± 0.9 times/day), the overall mean (median) absolute relative difference (ARD) values between sensor and reference values were 13.6% (10.1%); the corresponding buttock sensor ARD values were 15.5% (10.5%). With abdomen sensors under minimal calibration (mean, 1.2 ± 0.9 times/day), the mean (median) ARD values were 14.7% (10.8%). Mean ARD values of abdomen sensors at rates of change of <1, 1-2, and >2 mg/dL/min were 13.6%, 12.9%, and 16.3%, respectively. With abdomen sensors, 79.5% and 94.1% of hypoglycemic and hyperglycemic events, respectively, were correctly detected; 81.9% and 94.9% of hypoglycemic and hyperglycemic alerts, respectively, were confirmed. The failure rates for abdomen and buttock sensors were 19.7% and 13.9%, respectively. Mean responses to survey questions for all subjects related to comfort and ease of use were favorable.
CONCLUSIONS: The Enlite sensor provided accurate data at different glucose concentrations and rates of change. Subjects found the sensor comfortable and easy to use.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24758729     DOI: 10.1089/dia.2013.0222

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


  37 in total

1.  Performance Comparison of CGM Systems: MARD Values Are Not Always a Reliable Indicator of CGM System Accuracy.

Authors:  Harald Kirchsteiger; Lutz Heinemann; Guido Freckmann; Volker Lodwig; Günther Schmelzeisen-Redeker; Michael Schoemaker; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2015-09-01

2.  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

3.  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

4.  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

5.  Significance and Reliability of MARD for the Accuracy of CGM Systems.

Authors:  Florian Reiterer; Philipp Polterauer; Michael Schoemaker; Guenther Schmelzeisen-Redecker; Guido Freckmann; Lutz Heinemann; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

6.  Rate-of-Change Dependence of the Performance of Two CGM Systems During Induced Glucose Swings.

Authors:  Stefan Pleus; Michael Schoemaker; Karin Morgenstern; Günther Schmelzeisen-Redeker; Cornelia Haug; Manuela Link; Eva Zschornack; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2015-04-07

7.  Advances in Subcutaneous Glucose Sensing.

Authors:  Jessica R Castle
Journal:  Diabetes Technol Ther       Date:  2017-08-02       Impact factor: 6.118

8.  Direct Evidence of Acetaminophen Interference with Subcutaneous Glucose Sensing in Humans: A Pilot Study.

Authors:  Ananda Basu; Sona Veettil; Roy Dyer; Thomas Peyser; Rita Basu
Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

9.  A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Authors:  Giacomo Cappon; Martina Vettoretti; Francesca Marturano; Andrea Facchinetti; Giovanni Sparacino
Journal:  J Diabetes Sci Technol       Date:  2018-03

10.  Interrupting prolonged sitting in type 2 diabetes: nocturnal persistence of improved glycaemic control.

Authors:  Paddy C Dempsey; Jennifer M Blankenship; Robyn N Larsen; Julian W Sacre; Parneet Sethi; Nora E Straznicky; Neale D Cohen; Ester Cerin; Gavin W Lambert; Neville Owen; Bronwyn A Kingwell; David W Dunstan
Journal:  Diabetologia       Date:  2016-12-09       Impact factor: 10.122

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.