Literature DB >> 14633341

Performance evaluation of blood glucose monitoring devices.

Ellen T Chen1, James H Nichols, Show-Hong Duh, Glen Hortin.   

Abstract

Many new technologies are being applied to measure blood glucose concentrations, but there is a lack of a standardized approach to evaluate performance of these devices. We sought to identify the key elements in evaluating the performance of devices for measuring blood glucose. We examined these elements in a multicenter study of four brands of glucose meters that are commonly used by diabetic patients. We tested control materials, spiked whole blood specimens, and 461 heparinized whole blood specimens in triplicate by each of the four brand glucose meters, and analyzed the plasma glucose concentrations of these specimens by a hexokinase (HK) method that incorporated reference materials developed by National Institute of Standards and Technology. Testing with glucose meters was performed at three sites, with multiple operators, meters, and representative lots of reagents. We evaluated the systematic bias, random error, and clinical significance of glucose meters. Meters were precise with a coefficient of variation of <4% across a wide range of glucose concentrations. Slopes significantly different from 1.0 were observed for two meters with 11-13% and -11% to -13% at the 95% confidence interval level by the linear regression of meter results versus the HK method from 33 to 481 mg/dL (correlation coefficient >0.98 and standard error of estimation S(y/x) <13 mg/dL for both meters). Analysis of the clinical significance of bias by Clarke Error Grid showed that results of the four meters were outside the accurate zone (26.5%, 2.4%, 1.5%, and 5.6%). Only a small number of the results showed clinically significant bias, mostly in the hypoglycemic range. Meters performed consistently throughout the study and, generally, were precise, although precision varied at extremely high or low glucose concentrations. Two of the glucose meters had substantial systematic bias when compared with an HK method, indicating a need for improving calibration and standardization. Analytical performance varied over the physiological range of glucose values so that separate accuracy and precision goals should be defined for hypoglycemic, normoglycemic, and hyperglycemic ranges. This study describes the current state of performance of blood glucose monitoring devices and points out those factors that should be assessed during evaluation of new devices.

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Year:  2003        PMID: 14633341     DOI: 10.1089/152091503322526969

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


  18 in total

1.  Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.

Authors:  Marc D Breton; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

Review 2.  Accuracy of point-of-care glucose measurements.

Authors:  Annette Rebel; Mark A Rice; Brenda G Fahy
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

3.  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

4.  Sources of glycemic variability--what type of technology is needed?

Authors:  Jonas Kildegaard; Toke Folke Christensen; Ole Kristian Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

Review 5.  Assessing the quality of publications evaluating the accuracy of blood glucose monitoring systems.

Authors:  Gary H Thorpe
Journal:  Diabetes Technol Ther       Date:  2013-02-15       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.  A Comprehensive Performance Evaluation of Five Blood Glucose Systems in the Hypo-, Eu-, and Hyperglycemic Range.

Authors:  Eric Zijlstra; Lutz Heinemann; Annelie Fischer; Christoph Kapitza
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

8.  Blood glucose controller for neonatal intensive care: virtual trials development and first clinical trials.

Authors:  Aaron Le Compte; J Geoffrey Chase; Adrienne Lynn; Chris Hann; Geoffrey Shaw; Xing-Wei Wong; Jessica Lin
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

9.  Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.

Authors:  Enrique Campos-Náñez; Kurt Fortwaengler; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2017-06-01

10.  Glucose sensing issues for the artificial pancreas.

Authors:  J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2008-07
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