Literature DB >> 26445813

Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197: 2013 Accuracy Criteria, Consensus and Surveillance Error Grid Analyses, and Insulin Dosing Error Modeling in a Hospital Setting.

José Luis Bedini1, Jane F Wallace2, Scott Pardo3, Thorsten Petruschke4.   

Abstract

BACKGROUND: Blood glucose monitoring is an essential component of diabetes management. Inaccurate blood glucose measurements can severely impact patients' health. This study evaluated the performance of 3 blood glucose monitoring systems (BGMS), Contour® Next USB, FreeStyle InsuLinx®, and OneTouch® Verio™ IQ, under routine hospital conditions.
METHODS: Venous blood samples (N = 236) obtained for routine laboratory procedures were collected at a Spanish hospital, and blood glucose (BG) concentrations were measured with each BGMS and with the available reference (hexokinase) method. Accuracy of the 3 BGMS was compared according to ISO 15197:2013 accuracy limit criteria, by mean absolute relative difference (MARD), consensus error grid (CEG) and surveillance error grid (SEG) analyses, and an insulin dosing error model.
RESULTS: All BGMS met the accuracy limit criteria defined by ISO 15197:2013. While all measurements of the 3 BGMS were within low-risk zones in both error grid analyses, the Contour Next USB showed significantly smaller MARDs between reference values compared to the other 2 BGMS. Insulin dosing errors were lowest for the Contour Next USB than compared to the other systems.
CONCLUSIONS: All BGMS fulfilled ISO 15197:2013 accuracy limit criteria and CEG criterion. However, taking together all analyses, differences in performance of potential clinical relevance may be observed. Results showed that Contour Next USB had lowest MARD values across the tested glucose range, as compared with the 2 other BGMS. CEG and SEG analyses as well as calculation of the hypothetical bolus insulin dosing error suggest a high accuracy of the Contour Next USB.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  Contour Next; accuracy; blood glucose monitoring system; consensus error grid; diabetes; glucose meter; insulin dosing error; surveillance error grid

Mesh:

Substances:

Year:  2015        PMID: 26445813      PMCID: PMC4738222          DOI: 10.1177/1932296815609368

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  13 in total

1.  Evaluation of 12 blood glucose monitoring systems for self-testing: system accuracy and measurement reproducibility.

Authors:  Guido Freckmann; Annette Baumstark; Christina Schmid; Stefan Pleus; Manuela Link; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2013-11-08       Impact factor: 6.118

2.  Accuracy evaluation of five blood glucose monitoring systems: the North American comparator trial.

Authors:  Solveig Halldorsdottir; Mary Ellen Warchal-Windham; Jane F Wallace; Scott Pardo; Joan Lee Parkes; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

3.  Accuracy Evaluation of Four Blood Glucose Monitoring Systems in Unaltered Blood Samples in the Low Glycemic Range and Blood Samples in the Concentration Range Defined by ISO 15197.

Authors:  Guido Freckmann; Stefan Pleus; Manuela Link; Annette Baumstark; Christina Schmid; Josef Högel; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2015-05-19       Impact factor: 6.118

4.  The surveillance error grid.

Authors:  David C Klonoff; Courtney Lias; Robert Vigersky; William Clarke; Joan Lee Parkes; David B Sacks; M Sue Kirkman; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

5.  Importance of blood glucose meter and carbohydrate estimation accuracy.

Authors:  Naunihal S Virdi; John J Mahoney
Journal:  J Diabetes Sci Technol       Date:  2012-07-01

6.  Standards of medical care in diabetes--2013.

Authors: 
Journal:  Diabetes Care       Date:  2013-01       Impact factor: 19.112

7.  Significant insulin dose errors may occur if blood glucose results are obtained from miscoded meters.

Authors:  Charles H Raine; Linda E Schrock; Steven V Edelman; Sunder Raj D Mudaliar; Weiping Zhong; Lois J Proud; Joan Lee Parkes
Journal:  J Diabetes Sci Technol       Date:  2007-03

8.  Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes.

Authors:  Sharon H Saydah; Judith Fradkin; Catherine C Cowie
Journal:  JAMA       Date:  2004-01-21       Impact factor: 56.272

9.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

Review 10.  A review of standards and statistics used to describe blood glucose monitor performance.

Authors:  Jan S Krouwer; George S Cembrowski
Journal:  J Diabetes Sci Technol       Date:  2010-01-01
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  11 in total

1.  Seven-Year Clinical Surveillance Program Demonstrates Consistent MARD Accuracy Performance of a Blood Glucose Test Strip.

Authors:  Steven Setford; Mike Grady; Stephen Mackintosh; Robert Donald; Brian Levy
Journal:  J Diabetes Sci Technol       Date:  2018-05-30

2.  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

3.  Advances in Patient Self-Monitoring of Blood Glucose.

Authors:  Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2015-11-29

4.  Commentary Regarding Shapiro, "Nonadjunctive Use of Continuous Glucose Monitors for Insulin Dosing: Is It Safe?"

Authors:  David Price
Journal:  J Diabetes Sci Technol       Date:  2017-03-01

5.  A Post-Marketing Surveillance Study to Evaluate Performance of the EXIMO™ Blood Glucose Monitoring System.

Authors:  Sonia R Chandnani; C D Ramakrishna; Bhargav A Dave; Pankaj S Kothavade; Ashok S Thakkar
Journal:  J Clin Diagn Res       Date:  2017-05-01

Review 6.  Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.

Authors:  Guido Freckmann; Stefan Pleus; Mike Grady; Steven Setford; Brian Levy
Journal:  J Diabetes Sci Technol       Date:  2018-11-19

7.  The Quantitative Relationship Between ISO 15197 Accuracy Criteria and Mean Absolute Relative Difference (MARD) in the Evaluation of Analytical Performance of Self-Monitoring of Blood Glucose (SMBG) Systems.

Authors:  Scott Pardo; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

8.  Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197.

Authors:  Guido Freckmann; Jochen Mende; Stefan Pleus; Delia Waldenmaier; Annette Baumstark; Nina Jendrike; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2021-03-24

9.  Retrospective Analysis of Continuous Glucose Monitoring Data With the Surveillance Error Grid Supports Nonadjunctive Dosing Decisions.

Authors:  John B Welsh; Tomas Walker; David Price
Journal:  J Diabetes Sci Technol       Date:  2017-02-15

10.  User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors.

Authors:  Guido Freckmann; Nina Jendrike; Annette Baumstark; Stefan Pleus; Christina Liebing; Cornelia Haug
Journal:  Diabetes Ther       Date:  2018-03-03       Impact factor: 2.945

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