Literature DB >> 26110670

System Accuracy Evaluation of Different Blood Glucose Monitoring Systems Following ISO 15197:2013 by Using Two Different Comparison Methods.

Guido Freckmann1, Manuela Link1, Christina Schmid1, Stefan Pleus1, Annette Baumstark1, Cornelia Haug1.   

Abstract

BACKGROUND: Adherence to established standards (e.g., International Organization for Standardization [ISO] 15197) is important to ensure comparable and sufficient accuracy of systems for self-monitoring of blood glucose (SMBG). Accuracy evaluation was performed for different SMBG systems available in Europe with three reagent lots each.
MATERIALS AND METHODS: Test procedures followed the recently published revision ISO 15197:2013. Comparison measurements were performed with a glucose oxidase (YSI 2300 STAT Plus™ glucose analyzer; YSI Inc., Yellow Springs, OH) and a hexokinase (cobas Integra(®) 400 Plus analyzer; Roche Instrument Center, Rotkreuz, Switzerland) method. Compliance with ISO 15197:2013 accuracy criteria was determined by calculating the percentage of results within ±15% or within ±0.83 mmol/L of the comparison measurement results for glucose concentrations at and above or below 5.55 mmol/L, respectively, and by calculating the percentage of results within consensus error grid Zones A and B.
RESULTS: Seven systems showed with all three tested lots that 95-100% of the results were within the accuracy limits of ISO 15197:2013 and that 100% of results were within consensus error grid Zones A and B, irrespective of the comparison method used. Regarding results of individual lots, slight differences between the glucose oxidase method and the hexokinase method were found. Accuracy criteria of ISO 15197:2003 (±20% for concentrations ≥4.2 mmol/L and±0.83 mmol/L for concentrations <4.2 mmol/L) were fulfilled by eight systems with all three lots and by one system with two lots.
CONCLUSIONS: In this study, seven systems complied with the accuracy criteria of ISO 15197:2013. The results also indicate that the comparison measurement method/system is important, as it may have a considerable impact on accuracy data obtained for a system.

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Year:  2015        PMID: 26110670     DOI: 10.1089/dia.2015.0085

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


  18 in total

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

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3.  Assessment of System Accuracy, Intermediate Measurement Precision, and Measurement Repeatability of a Blood Glucose Monitoring System Based on ISO 15197.

Authors:  Nina Jendrike; Annette Baumstark; Stefan Pleus; Jochen Mende; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2018-12-14

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

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Journal:  J Diabetes Sci Technol       Date:  2018-09-15

5.  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

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

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Journal:  J Diabetes Sci Technol       Date:  2019-02-07

7.  A Comprehensive Performance Evaluation of Five Blood Glucose Systems in the Hypo-, Eu-, and Hyperglycemic Range.

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8.  Development and clinical trial of a smartphone-based colorimetric detection system for self-monitoring of blood glucose.

Authors:  Hung-Chih Wang; Fuh-Yu Chang; Tung-Meng Tsai; Chieh-Hsiao Chen; Yen-Yu Chen
Journal:  Biomed Opt Express       Date:  2020-03-23       Impact factor: 3.732

9.  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

10.  Effect of BGM Accuracy on the Clinical Performance of CGM: An In-Silico Study.

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Journal:  J Diabetes Sci Technol       Date:  2017-05-31
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