Literature DB >> 16524714

Non-invasive glucose monitoring in patients with diabetes: a novel system based on impedance spectroscopy.

A Caduff1, F Dewarrat, M Talary, G Stalder, L Heinemann, Yu Feldman.   

Abstract

The aim of this work was to evaluate the performance of a novel non-invasive continuous glucose-monitoring system based on impedance spectroscopy (IS) in patients with diabetes. Ten patients with type 1 diabetes (mean+/-S.D., age 28+/-8 years, BMI 24.2+/-3.2 kg/m(2) and HbA(1C) 7.3+/-1.6%) and five with type 2 diabetes (age 61+/-8 years, BMI 27.5+/-3.2 kg/m(2) and HbA(1C) 8.3+/-1.8%) took part in this study, which comprised a glucose clamp experiment followed by a 7-day outpatient evaluation. The measurements obtained by the NI-CGMD and the reference blood glucose-measuring techniques were evaluated using retrospective data evaluation procedures. Under less controlled outpatient conditions a correlation coefficient of r=0.640 and a standard error of prediction (SEP) of 45 mg dl(-1) with a total of 590 paired glucose measurements was found (versus r=0.926 and a SEP of 26 mg dl(-1) under controlled conditions). Clark error grid analyses (EGA) showed 56% of all values in zone A, 37% in B and 7% in C-E. In conclusion, these results indicate that IS in the used technical setting allows retrospective, continuous and truly non-invasive glucose monitoring under defined conditions for patients with diabetes. Technical advances and developments are needed to expand on this concept to bring the results from the outpatient study closer to those in the experimental section of the study. Further studies will not only help to evaluate the performance and limitations of using such a technique for non non-invasive glucose monitoring but also help to verify technical extensions towards a IS-based concept that offers improved performance under real life operating conditions.

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Year:  2006        PMID: 16524714     DOI: 10.1016/j.bios.2006.01.031

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  18 in total

Review 1.  Technologies for continuous glucose monitoring: current problems and future promises.

Authors:  Santhisagar Vaddiraju; Diane J Burgess; Ioannis Tomazos; Faquir C Jain; Fotios Papadimitrakopoulos
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

2.  Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Authors:  Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Michela Riz; Mark S Talary; Roland E Suri; Andreas Caduff; Claudio Cobelli
Journal:  Med Biol Eng Comput       Date:  2012-06-22       Impact factor: 2.602

3.  The compensation of perturbing temperature fluctuation in glucose monitoring technologies based on impedance spectroscopy.

Authors:  Daniel Huber; Mark Talary; François Dewarrat; Andreas Caduff
Journal:  Med Biol Eng Comput       Date:  2007-07-28       Impact factor: 2.602

4.  Data processing for noninvasive continuous glucose monitoring with a multisensor device.

Authors:  Martin Mueller; Mark S Talary; Lisa Falco; Oscar De Feo; Werner A Stahel; Andreas Caduff
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

5.  First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' View.

Authors:  Mattia Zanon; Martin Mueller; Pavel Zakharov; Mark S Talary; Marc Donath; Werner A Stahel; Andreas Caduff
Journal:  J Diabetes Sci Technol       Date:  2017-11-16

Review 6.  Continuous noninvasive glucose monitoring; water as a relevant marker of glucose uptake in vivo.

Authors:  Andreas Caduff; Paul Ben Ishai; Yuri Feldman
Journal:  Biophys Rev       Date:  2019-11-18

7.  Interstitium versus Blood Equilibrium in Glucose Concentration and its Impact on Subcutaneous Continuous Glucose Monitoring Systems.

Authors:  Cosimo Scuffi
Journal:  Eur Endocrinol       Date:  2014-02-28

Review 8.  Biocompatible materials for continuous glucose monitoring devices.

Authors:  Scott P Nichols; Ahyeon Koh; Wesley L Storm; Jae Ho Shin; Mark H Schoenfisch
Journal:  Chem Rev       Date:  2013-02-07       Impact factor: 60.622

9.  The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System.

Authors:  Andreas Caduff; Mattia Zanon; Martin Mueller; Pavel Zakharov; Yuri Feldman; Oscar De Feo; Marc Donath; Werner A Stahel; Mark S Talary
Journal:  J Diabetes Sci Technol       Date:  2015-04-24

10.  Passive Diffusion of Transdermal Glucose: Noninvasive Glucose Sensing Using a Fluorescent Glucose Binding Protein.

Authors:  Sunsanee Kanjananimmanont; Xudong Ge; KarunaSri Mupparapu; Govind Rao; Russell Potts; Leah Tolosa
Journal:  J Diabetes Sci Technol       Date:  2014-01-21
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