Literature DB >> 25872967

System Accuracy Evaluation of Four Systems for Self-Monitoring of Blood Glucose Following ISO 15197 Using a Glucose Oxidase and a Hexokinase-Based Comparison Method.

Manuela Link1, Christina Schmid1, Stefan Pleus2, Annette Baumstark1, Delia Rittmeyer1, Cornelia Haug1, Guido Freckmann1.   

Abstract

BACKGROUND: The standard ISO (International Organization for Standardization) 15197 is widely accepted for the accuracy evaluation of systems for self-monitoring of blood glucose (SMBG). Accuracy evaluation was performed for 4 SMBG systems (Accu-Chek Aviva, ContourXT, GlucoCheck XL, GlucoMen LX PLUS) with 3 test strip lots each. To investigate a possible impact of the comparison method on system accuracy data, 2 different established methods were used.
METHODS: The evaluation was performed in a standardized manner following test procedures described in ISO 15197:2003 (section 7.3). System accuracy was assessed by applying ISO 15197:2003 and in addition ISO 15197:2013 criteria (section 6.3.3). For each system, comparison measurements were performed with a glucose oxidase (YSI 2300 STAT Plus glucose analyzer) and a hexokinase (cobas c111) method.
RESULTS: All 4 systems fulfilled the accuracy requirements of ISO 15197:2003 with the tested lots. More stringent accuracy criteria of ISO 15197:2013 were fulfilled by 3 systems (Accu-Chek Aviva, ContourXT, GlucoMen LX PLUS) when compared to the manufacturer's comparison method and by 2 systems (Accu-Chek Aviva, ContourXT) when compared to the alternative comparison method. All systems showed lot-to-lot variability to a certain degree; 2 systems (Accu-Chek Aviva, ContourXT), however, showed only minimal differences in relative bias between the 3 evaluated lots.
CONCLUSIONS: In this study, all 4 systems complied with the evaluated test strip lots with accuracy criteria of ISO 15197:2003. Applying ISO 15197:2013 accuracy limits, differences in the accuracy of the tested systems were observed, also demonstrating that the applied comparison method/system and the lot-to-lot variability can have a decisive influence on accuracy data obtained for a SMBG system.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  ISO 15197:2003; ISO 15197:2013; comparison measurement method; glucose oxidase method; hexokinase method; self-monitoring of blood glucose; system accuracy

Mesh:

Substances:

Year:  2015        PMID: 25872967      PMCID: PMC4667333          DOI: 10.1177/1932296815580161

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


  19 in total

1.  Between-lot variation in external quality assessment of glucose: clinical importance and effect on participant performance evaluation.

Authors:  Gunn B B Kristensen; Nina Gade Christensen; Geir Thue; Sverre Sandberg
Journal:  Clin Chem       Date:  2005-09       Impact factor: 8.327

2.  Standardized evaluation of nine instruments for self-monitoring of blood glucose.

Authors:  Gunn B B Kristensen; Grete Monsen; Svein Skeie; Sverre Sandberg
Journal:  Diabetes Technol Ther       Date:  2008-12       Impact factor: 6.118

3.  Accuracy evaluation of contour next compared with five blood glucose monitoring systems across a wide range of blood glucose concentrations occurring in a clinical research setting.

Authors:  Leslie J Klaff; Ronald Brazg; Kristen Hughes; Ann M Tideman; Holly C Schachner; Patricia Stenger; Scott Pardo; Nancy Dunne; Joan Lee Parkes
Journal:  Diabetes Technol Ther       Date:  2015-01       Impact factor: 6.118

4.  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

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Variability among five over-the-counter blood glucose monitors.

Authors:  Mary M Kimberly; Hubert W Vesper; Samuel P Caudill; Steven F Ethridge; Enada Archibold; Kimberly H Porter; Gary L Myers
Journal:  Clin Chim Acta       Date:  2005-09-06       Impact factor: 3.786

7.  A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I.

Authors:  H Passing
Journal:  J Clin Chem Clin Biochem       Date:  1983-11

8.  System accuracy evaluation of 27 blood glucose monitoring systems according to DIN EN ISO 15197.

Authors:  Guido Freckmann; Annette Baumstark; Nina Jendrike; Eva Zschornack; Serge Kocher; Jacques Tshiananga; Frank Heister; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2010-03       Impact factor: 6.118

9.  Accuracy of plasma glucose measurements in the hypoglycemic range.

Authors:  P M Genter; E Ipp
Journal:  Diabetes Care       Date:  1994-06       Impact factor: 19.112

10.  Plasma glucose measurement with the Yellow Springs Glucose 2300 STAT and the Olympus AU640.

Authors:  P J Twomey
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

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  14 in total

1.  Analysis of "Accuracy and User Performance Evaluation of a New, Wireless-Enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device".

Authors:  Malte Rutschmann
Journal:  J Diabetes Sci Technol       Date:  2017-02-01

Review 2.  Analytical Performance Requirements for Systems for Self-Monitoring of Blood Glucose With Focus on System Accuracy: Relevant Differences Among ISO 15197:2003, ISO 15197:2013, and Current FDA Recommendations.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Malte Rutschmann; Cornelia Haug; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2015-04-14

3.  Analysis of "Capillary and Venous Blood Glucose Accuracy in Blood Glucose Meters Versus Reference Standards: The Impact of Study Design on Accuracy Evaluations".

Authors:  Gary H Thorpe
Journal:  J Diabetes Sci Technol       Date:  2018-09-15

4.  Strengths and Limitations of New Approaches for Graphical Presentation of Blood Glucose Monitoring System Accuracy Data.

Authors:  Stefan Pleus; Frank Flacke; Jochen Sieber; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2017-04-26

5.  Evidence From a Long-Term, Systematic Post-Market Surveillance Program: Clinical Performance of a Hematocrit-Insensitive Blood Glucose Test Strip.

Authors:  Steven Setford; Stuart Phillips; Mike Grady
Journal:  J Diabetes Sci Technol       Date:  2019-02-07

6.  Mobile technology for self-monitoring of blood glucose among patients with type 2 diabetes mellitus.

Authors:  Steven S Coughlin
Journal:  Mhealth       Date:  2017-10-30

7.  Do the New FDA Guidance Documents Help Improving Performance of Blood Glucose Monitoring Systems Compared With ISO 15197?

Authors:  Guido Freckmann; Annette Baumstark; Stefan Pleus
Journal:  J Diabetes Sci Technol       Date:  2017-06-06

8.  Introduction of a Novel Smartphone-Coupled Blood Glucose Monitoring System.

Authors:  Nina Jendrike; Annette Baumstark; Chieh-Hsiao Chen; Delia Rittmeyer; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2017-05-01

9.  Impact of Two Different Reference Measurement Procedures on Apparent System Accuracy of 18 CE-Marked Current-Generation Blood Glucose Monitoring Systems.

Authors:  Guido Freckmann; Annette Baumstark; Nina Jendrike; Jochen Mende; Sebastian Schauer; Manuela Link; Stefan Pleus; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2020-08-19

10.  Comparative Accuracy of 17 Point-of-Care Glucose Meters.

Authors:  Laya Ekhlaspour; Debbie Mondesir; Norman Lautsch; Courtney Balliro; Mallory Hillard; Kendra Magyar; Laura Goergen Radocchia; Aryan Esmaeili; Manasi Sinha; Steven J Russell
Journal:  J Diabetes Sci Technol       Date:  2016-10-03
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