Literature DB >> 33359497

Standardization process of continuous glucose monitoring: Traceability and performance.

Guido Freckmann1, James H Nichols2, Rolf Hinzmann3, David C Klonoff4, Yi Ju5, Peter Diem6, Konstantinos Makris7, Robbert J Slingerland8.   

Abstract

People with diabetes are required to regularly check their glucose to make therapy decisions. So far, systems for self-monitoring of blood glucose were used, but nowadays minimally invasive continuous glucose monitoring (CGM) systems are increasingly more often employed, sometimes to partially replace self-monitoring of blood glucose. Most CGM systems on the market measure glucose concentrations continuously in the interstitial fluid of the subcutaneous fatty tissue. However, CGM has a principle limitation. Collecting interstitial fluid frequently in sufficiently large volumes over short time periods is not easy. As a consequence, no internationally accepted reference measurement procedure is currently available for glucose in interstitial fluid which is a prerequisite to achieve an optimal metrological traceability. Recent studies indicate that the analytical performance of minimally invasive CGM systems differs not only between manufacturers but also between individual sensors of the same system, sometimes even in the same subject. Because manufacturers don't provide detailed information about the traceability chain and the measurement uncertainty of their systems glucose values obtained with CGM can currently not be adequately traced to higher-order standards or methods. Therefore, the Working Group on Continuous Glucose Monitoring aims at establishing a traceability chain for minimally invasive CGM systems, as well as procedures and metrics for the assessment of their analytical performance.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Continuous glucose monitoring; Glucose measurement; Self-monitoring blood glucose; Traceability

Mesh:

Substances:

Year:  2021        PMID: 33359497     DOI: 10.1016/j.cca.2020.12.025

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Diabetes Technology Meeting 2021.

Authors:  Nicole Y Xu; Kevin T Nguyen; Ashley Y DuBord; John Pickup; Jennifer L Sherr; Hazhir Teymourian; Eda Cengiz; Barry H Ginsberg; Claudio Cobelli; David Ahn; Riccardo Bellazzi; B Wayne Bequette; Laura Gandrud Pickett; Linda Parks; Elias K Spanakis; Umesh Masharani; Halis K Akturk; John S Melish; Sarah Kim; Gu Eon Kang; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2022-05-02

2.  Noninvasive Glucose Monitoring: In God We Trust-All Others Bring Data.

Authors:  David C Klonoff; Kevin T Nguyen; Nicole Y Xu; Mark A Arnold
Journal:  J Diabetes Sci Technol       Date:  2021-10-21

3.  Comment on "Do We Need the Replacement of YSI 2300? A View from the Clinical Laboratory" by Spanou and Makris.

Authors:  Guido Freckmann; Annette Baumstark; Rolf Hinzmann; Cornelia Haug; Stefan Pleus
Journal:  J Diabetes Sci Technol       Date:  2021-05-30

Review 4.  Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices.

Authors:  Salvatore Andrea Pullano; Marta Greco; Maria Giovanna Bianco; Daniela Foti; Antonio Brunetti; Antonino S Fiorillo
Journal:  Theranostics       Date:  2022-01-01       Impact factor: 11.600

5.  Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.

Authors:  Yongjun Zhang; Guangheng Gao
Journal:  J Healthc Eng       Date:  2022-04-11       Impact factor: 3.822

6.  Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus.

Authors:  Stefan Pleus; Guido Freckmann; Sebastian Schauer; Lutz Heinemann; Ralph Ziegler; Linong Ji; Viswanathan Mohan; Luis Eduardo Calliari; Rolf Hinzmann
Journal:  Diabetes Ther       Date:  2022-04-13       Impact factor: 3.595

Review 7.  Products for Monitoring Glucose Levels in the Human Body With Noninvasive Optical, Noninvasive Fluid Sampling, or Minimally Invasive Technologies.

Authors:  Trisha Shang; Jennifer Y Zhang; Andreas Thomas; Mark A Arnold; Beatrice N Vetter; Lutz Heinemann; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-06-13

8.  Diabetes Technology Meeting 2020.

Authors:  Trisha Shang; Jennifer Y Zhang; B Wayne Bequette; Jennifer K Raymond; Gerard Coté; Jennifer L Sherr; Jessica Castle; John Pickup; Yarmela Pavlovic; Juan Espinoza; Laurel H Messer; Tim Heise; Carlos E Mendez; Sarah Kim; Barry H Ginsberg; Umesh Masharani; Rodolfo J Galindo; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-07
  8 in total

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