Literature DB >> 14633348

Glucose sensors and the alternate site testing-like phenomenon: relationship between rapid blood glucose changes and glucose sensor signals.

Theodor Koschinsky1, Karsten Jungheim, Lutz Heinemann.   

Abstract

In the last few years blood glucose meters have been developed allowing glucose measurements in capillary blood samples collected at sites other than the fingertips. The main reason for establishing this so-called alternate site testing (AST) was to sample blood from locations with reduced pain perception. It is well known that capillary blood glucose is closely correlated to systemic (i.e., arterial) glucose levels and that under steady-state conditions, glucose values measured in blood samples collected from alternate sites are virtually identical to those collected from the fingertip. However, during rapid changes in blood glucose levels, glucose concentrations in capillary blood samples from the fingertips can differ considerably in both domains (time and concentration) from those determined in capillary blood from alternate sites (i.e., the so-called AST phenomenon). Such differences can have serious clinical consequences (e.g., risky delays in hypoglycemia detection). There is evidence that all skin sites exhibiting a reduced blood flow (in comparison with the fingertip) within the superficial skin layers are prone to this AST phenomenon. Nearly all glucose sensors having been developed so far or being currently under development measure glucose levels at alternate sites and also in another compartment [e.g., interstitial fluid (ISF)] than blood. So, in principle they might be prone to an AST-like phenomenon (i.e., rapid changes in systemic blood glucose levels may also result in delayed ISF glucose readings). Our knowledge about the impact of an AST-like phenomenon on the performance of glucose monitoring systems is presently very limited. Glucose kinetics in the different compartments during dynamic systemic blood glucose changes have not been fully elucidated yet. If an AST-like phenomenon plays a role with glucose sensors should therefore be studied. Depending on the measurement technology used for the individual type of glucose monitoring system probably this phenomenon has a variable impact on the results obtained.

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Year:  2003        PMID: 14633348     DOI: 10.1089/152091503322527030

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


  11 in total

1.  Clinical evaluation of a portable lactate meter in type I glycogen storage disease.

Authors:  A C Saunders; H A Feldman; C E Correia; D A Weinstein
Journal:  J Inherit Metab Dis       Date:  2005       Impact factor: 4.982

Review 2.  A tale of two compartments: interstitial versus blood glucose monitoring.

Authors:  Eda Cengiz; William V Tamborlane
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

3.  Statistical approach of assessing the reliability of glucose sensors: the GLYCENSIT procedure.

Authors:  Tom Van Herpe; Kristiaan Pelckmans; Jos De Brabanter; Frizo Janssens; Bart De Moor; Greet Van den Berghe
Journal:  J Diabetes Sci Technol       Date:  2008-11

4.  The correlation of hemoglobin A1c to blood glucose.

Authors:  Ken Sikaris
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

5.  Analysis of "Simple Post-Processing of Continuous Glucose Monitoring Measurements Improves Endpoints in Clinical Trials".

Authors:  Günther Schmelzeisen-Redeker
Journal:  J Diabetes Sci Technol       Date:  2019-06-13

6.  Contribution of an intrinsic lag of continuous glucose monitoring systems to differences in measured and actual glucose concentrations changing at variable rates in vitro.

Authors:  Raymond J Davey; Chee Low; Timothy W Jones; Paul A Fournier
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

7.  Evaluation of a New Noninvasive Glucose Monitoring Device by Means of Standardized Meal Experiments.

Authors:  Andreas Pfützner; Stephanie Strobl; Filiz Demircik; Lisa Redert; Johannes Pfützner; Anke H Pfützner; Alexander Lier
Journal:  J Diabetes Sci Technol       Date:  2018-02-16

8.  Assessing the Performance of a Noninvasive Glucose Monitor in People with Type 2 Diabetes with Different Demographic Profiles.

Authors:  Karnit Bahartan; Keren Horman; Avner Gal; Andrew Drexler; Yulia Mayzel; Tamar Lin
Journal:  J Diabetes Res       Date:  2017-12-20       Impact factor: 4.011

9.  The accuracy of a non-invasive glucose monitoring device does not depend on clinical characteristics of people with type 2 diabetes mellitus.

Authors:  Tamar Lin; Yulia Mayzel; Karnit Bahartan
Journal:  J Drug Assess       Date:  2018-01-11

10.  A Glucose Sensing System Based on Transmission Measurements at Millimetre Waves using Micro strip Patch Antennas.

Authors:  Shimul Saha; Helena Cano-Garcia; Ioannis Sotiriou; Oliver Lipscombe; Ioannis Gouzouasis; Maria Koutsoupidou; George Palikaras; Richard Mackenzie; Thomas Reeve; Panagiotis Kosmas; Efthymios Kallos
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

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