Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2019 May;13(3):575-583.
doi: 10.1177/1932296818812062. Epub 2018 Nov 19.

Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices

Affiliations
Review

Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices

Guido Freckmann et al. J Diabetes Sci Technol. 2019 May.

Abstract

Currently, patients with diabetes may choose between two major types of system for glucose measurement: blood glucose monitoring (BGM) systems measuring glucose within capillary blood and continuous glucose monitoring (CGM) systems measuring glucose within interstitial fluid. Although BGM and CGM systems offer different functionality, both types of system are intended to help users achieve improved glucose control. Another area in which BGM and CGM systems differ is measurement accuracy. In the literature, BGM system accuracy is assessed mainly according to ISO 15197:2013 accuracy requirements, whereas CGM accuracy has hitherto mainly been assessed by MARD, although often results from additional analyses such as bias analysis or error grid analysis are provided. The intention of this review is to provide a comparison of different approaches used to determine the accuracy of BGM and CGM systems and factors that should be considered when using these different measures of accuracy to make comparisons between the analytical performance (ie, accuracy) of BGM and CGM systems. In addition, real-world implications of accuracy and its relevance are discussed.

Keywords: ISO 15197; MARD; accuracy; blood glucose monitoring; continuous glucose monitoring; performance.

PubMed Disclaimer

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: GF is general manager of the IDT (Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany), which carries out clinical studies on the evaluation of BG meters and medical devices for diabetes therapy on its own initiative and on behalf of various companies. GF/IDT have received speakers’ honoraria or consulting fees from Abbott, Ascensia, Bayer, LifeScan, Menarini Diagnostics, Metronom Health, Novo Nordisk, Roche, Sanofi, Sensile, and Ypsomed. SP is employee of IDT. MG and SS are employees of LifeScan Scotland Ltd. BL is employee of LifeScan Inc.

Figures

Figure 1.
Figure 1.
Modeled data (n = 600) for a glucose monitoring system with (A) MARD 4.8%, 99.3% of results within accuracy limits of ISO 15197, and no bias, medium precision; (B) MARD 10.0%, 99.3% of results within accuracy limits of ISO 15197, and medium bias, high precision; (C) 10.0% MARD, 81.5% of results within accuracy limits of ISO 15197, and positive bias, low precision; (D) MARD 10.0%, 99.3% of results within accuracy limits of ISO 15197, and negative bias, high precision.
Figure 2.
Figure 2.
Modeled data (n = 600) for a glucose monitoring system showing constant bias and glucose-concentration-dependent variability.

References

    1. American Diabetes Association. Standards of medical care in diabetes—2018. Diabetes Care. 2018;41(suppl 1):s1-s156. - PubMed
    1. Food and Drug Administration. PMA P120005/S041: FDA summary of safety and effectiveness data. https://www.accessdata.fda.gov/cdrh_docs/pdf12/P120005S041b.pdf. Accessed March 27, 2017.
    1. Food and Drug Administration. Premarket approval (PMA): FreeStyle Libre flash glucose monitoring system (P160030). https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160030. Accessed November 13, 2017.
    1. Hirsch IB, Bode BW, Childs BP, et al. Self-monitoring of blood glucose (SMBG) in insulin- and non-insulin-using adults with diabetes: consensus recommendations for improving SMBG accuracy, utilization, and research. Diabetes Technol Ther. 2008;10:419-439. - PubMed
    1. Miller KM, Beck RW, Bergenstal RM, et al. Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1C levels in T1D exchange clinic registry participants. Diabetes Care. 2013;36:2009-2014. - PMC - PubMed

Publication types

MeSH terms