Literature DB >> 12087017

Reproducibility of glucose measurements using the glucose sensor.

Muriel Metzger1, Gil Leibowitz, Julio Wainstein, Benjamin Glaser, Itamar Raz.   

Abstract

OBJECTIVE: Recent studies have confirmed that improved glycemic control decreases the risk of diabetic complications in type 1 and type 2 diabetic patients. The Minimed glucose sensor allows continuous 72-h glucose monitoring and represents a potentially important tool to improve diabetes management. Its use is currently limited to the health care team. Our aim was to evaluate the reproducibility of data provided by the device by comparing data provided by two sensors worn simultaneously by the same subject. RESEARCH DESIGN AND METHODS: A total of 11 subjects (6 type 1 and 3 type 2 diabetic patients and 2 healthy subjects) agreed to wear two sensors and perform at least four daily finger-stick glucose determinations during 72 h. The simultaneous glucose values provided by the sensors were compared. To determine the clinical implications of the glucose data, each day was divided into eight periods, and for each period the glucose range was rated as satisfactory, too high, or too low by a blinded clinician experienced in interpreting glucose sensor data in the clinical setting. The evaluation of glycemic levels based on the recordings of the two sensors were compared for each paired time interval.
RESULTS: We discarded 18% of the sensor data for technical reasons. Examined as a group, the remaining 3,370 paired data points in all 11 patients were highly correlated (r = 0.84). However, when individual pairs were evaluated, large differences in the glucose values were apparent, with differences of >10% in 70% of the measurements and >50% in 7% of the measurements. Moreover, clinical evaluation of the glucose range provided simultaneously by two sensors was concordant for only 65% of the evaluation periods.
CONCLUSION: In a real-life setting, the accuracy of data provided by the Minimed glucose sensor may be less than expected. To avoid therapeutic errors, sensor findings should be confirmed by independent means before clinical decisions are made.

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Year:  2002        PMID: 12087017     DOI: 10.2337/diacare.25.7.1185

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  22 in total

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2.  A human pilot study of the fluorescence affinity sensor for continuous glucose monitoring in diabetes.

Authors:  Ralph Dutt-Ballerstadt; Colton Evans; Arun P Pillai; Eric Orzeck; Rafal Drabek; Ashok Gowda; Roger McNichols
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

3.  Real-time continuous glucose monitoring in the clinical setting: the good, the bad, and the practical.

Authors:  Irene Mamkin; Svetlana Ten; Sonal Bhandari; Neesha Ramchandani
Journal:  J Diabetes Sci Technol       Date:  2008-09

4.  Agreement between glucose trends derived from three simultaneously worn continuous glucose sensors.

Authors:  Allen B King; Dana Armstrong; Caroline Chu; Manoj Sharma; David Price
Journal:  J Diabetes Sci Technol       Date:  2008-09

Review 5.  Clinical Implications of Accuracy Measurements of Continuous Glucose Sensors.

Authors:  Timothy S Bailey
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

6.  Utility of point-of-care vs reference laboratory testing for the evaluation of glucose levels.

Authors:  O M Andriankaja; F J Muñoz-Torres; J L Vergara; C M Pérez; K Joshipura
Journal:  Diabet Med       Date:  2019-03-01       Impact factor: 4.359

7.  Effect of Continuous Glucose Monitoring Accuracy on Clinicians' Retrospective Decision Making in Diabetes: A Pilot Study.

Authors:  Zeinab Mahmoudi; Mette Dencker Johansen; Hanne Holdflod Nørgaard; Steen Andersen; Ulrik Pedersen-Bjergaard; Lise Tarnow; Jens Sandahl Christiansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2015-06-08

8.  Impact of exercise on overnight glycemic control in children with type 1 diabetes mellitus.

Authors:  Eva Tsalikian; Nelly Mauras; Roy W Beck; William V Tamborlane; Kathleen F Janz; H Peter Chase; Tim Wysocki; Stuart A Weinzimer; Bruce A Buckingham; Craig Kollman; Dongyuan Xing; Katrina J Ruedy
Journal:  J Pediatr       Date:  2005-10       Impact factor: 4.406

9.  Lack of accuracy of continuous glucose sensors in healthy, nondiabetic children: results of the Diabetes Research in Children Network (DirecNet) accuracy study.

Authors:  Nelly Mauras; Roy W Beck; Katrina J Ruedy; Craig Kollman; William V Tamborlane; H Peter Chase; Bruce A Buckingham; Eva Tsalikian; Stuart Weinzimer; Andrea D Booth; Dongyuan Xing
Journal:  J Pediatr       Date:  2004-06       Impact factor: 4.406

10.  The accuracy of the CGMS in children with type 1 diabetes: results of the diabetes research in children network (DirecNet) accuracy study.

Authors: 
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

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