Literature DB >> 23294784

Minimizing the impact of time lag variability on accuracy evaluation of continuous glucose monitoring systems.

Cosimo Scuffi1, Fausto Lucarelli, Francesco Valgimigli.   

Abstract

BACKGROUND: Despite all commercially available continuous glucose monitoring (CGM) systems being designed to operate in the extracellular interstitial fluid, and even though there is a well-recognized time lag between the interstitial and the venous compartments, the accuracy of the CGM device readings is still evaluated against the glucose concentration in venous blood (VB) samples, thus resulting in a perceived decrease in accuracy. This article explains how different time lag compensation methods (no compensation, compensation with a fixed delay, compensation with a variable delay based on an intercompartmental diffusional model) have an impact on how CGM accuracy is evaluated.
METHODS: The data set used consisted of 210 CGM/blood glucose data pairs from 18 diabetes subjects (15 type 1 and 3 type 2) selected from a data base collected during two independent clinical trials. All CGM measurements were performed using the GlucoMen ®Day CGM system (A. Menarini Diagnostics, Italy), and the reference VB glucose measurements by means of a standard laboratory instrument. For each applied time lag compensation method, the CGM accuracy evaluation was performed as recommended by the POCT05-A consensus guideline.
RESULTS: The perceived accuracy of the CGM device significantly improved when applying both the fixed or the variable delay compensation method. However, it is worth noting how the variable delay method, which relies on a closer description of the intercompartmental diffusion processes, provided the best perception of the clinical accuracy of the device.
CONCLUSIONS: When assessing the accuracy of a CGM system, a crucial step in data analysis is to account for time lag, which enables minimization of the apparent decline in system accuracy.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 23294784      PMCID: PMC3570879          DOI: 10.1177/193229681200600618

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  38 in total

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Authors:  Francesco Valgimigli; Fausto Lucarelli; Cosimo Scuffi; Sara Morandi; Iolanda Sposato
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurements.

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Journal:  Diabetes Care       Date:  2007-03-02       Impact factor: 19.112

Review 3.  A tale of two compartments: interstitial versus blood glucose monitoring.

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4.  Fluorescein kinetics in interstitial fluid harvested from diabetic skin during fluorescein angiography: implications for glucose monitoring.

Authors:  A Smith; D Yang; H Delcher; J Eppstein; D Williams; S Wilkes
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5.  Statistical methods for assessing agreement between two methods of clinical measurement.

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6.  Comparison of glucose levels in dermal interstitial fluid and finger capillary blood.

Authors:  P J Stout; N Peled; B J Erickson; M E Hilgers; J R Racchini; T B Hoegh
Journal:  Diabetes Technol Ther       Date:  2001       Impact factor: 6.118

7.  Toward continuous glucose monitoring with planar modified biosensors and microdialysis. Study of temperature, oxygen dependence and in vivo experiment.

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8.  FreeStyle Navigator Continuous Glucose Monitoring System with TRUstart algorithm, a 1-hour warm-up time.

Authors:  McGarraugh Geoffrey; Ronald Brazg; Weinstein Richard
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

9.  Modeling glucose and water dynamics in human skin.

Authors:  W Groenendaal; K A Schmidt; G von Basum; N A W van Riel; P A J Hilbers
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Journal:  Diabetes Technol Ther       Date:  2009-02       Impact factor: 6.118

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  6 in total

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Journal:  Eur Endocrinol       Date:  2014-02-28

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Authors:  Robert A Vigersky
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Review 4.  Microdialysis techniques and microdialysis-based patient-near diagnostics.

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Journal:  Anal Bioanal Chem       Date:  2022-01-14       Impact factor: 4.142

5.  Time Delay of CGM Sensors: Relevance, Causes, and Countermeasures.

Authors:  Günther Schmelzeisen-Redeker; Michael Schoemaker; Harald Kirchsteiger; Guido Freckmann; Lutz Heinemann; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2015-08-04

6.  Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial.

Authors:  Tobias Wollersheim; Lilian Jo Engelhardt; Jeanne Pachulla; Rudolf Moergeli; Susanne Koch; Claudia Spies; Michael Hiesmayr; Steffen Weber-Carstens
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  6 in total

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