Literature DB >> 20615099

Continuous glucose monitoring in subcutaneous tissue using factory-calibrated sensors: a pilot study.

Udo Hoss1, Iman Jeddi, Mark Schulz, Erwin Budiman, Claire Bhogal, Geoffrey McGarraugh.   

Abstract

BACKGROUND: Commercial continuous subcutaneous glucose monitors require in vivo calibration using capillary blood glucose tests. Feasibility of factory calibration, i.e., sensor batch characterization in vitro with no further need for in vivo calibration, requires a predictable and stable in vivo sensor sensitivity and limited inter- and intra-subject variation of the ratio of interstitial to blood glucose concentration.
METHODS: Twelve volunteers wore two FreeStyle Navigator (Abbott Diabetes Care, Alameda, CA) continuous glucose monitoring systems for 5 days in parallel for two consecutive sensor wears (four sensors per subject, 48 sensors total). Sensors from a prototype sensor lot with a low variability in glucose sensitivity were used for the study. Median sensor sensitivity values based on capillary blood glucose were calculated per sensor and compared for inter- and intra-subject variation. Mean absolute relative difference (MARD) calculation and error grid analysis were performed using a single calibration factor for all sensors to simulate factory calibration and compared to standard fingerstick calibration.
RESULTS: Sensor sensitivity variation in vitro was 4.6%, which increased to 8.3% in vivo (P < 0.0001). Analysis of variance revealed no significant inter-subject differences in sensor sensitivity (P = 0.134). Applying a single universal calibration factor retrospectively to all sensors resulted in a MARD of 10.4% and 88.1% of values in Clarke Error Grid Zone A, compared to a MARD of 10.9% and 86% of values in Error Grid Zone A for fingerstick calibration.
CONCLUSIONS: Factory calibration of sensors for continuous subcutaneous glucose monitoring is feasible with similar accuracy to standard fingerstick calibration. Additional data are required to confirm this result in subjects with diabetes.

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Year:  2010        PMID: 20615099     DOI: 10.1089/dia.2010.0051

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


  11 in total

1.  Continuous glucose monitoring in the subcutaneous tissue over a 14-day sensor wear period.

Authors:  Udo Hoss; Erwin S Budiman; Hanqing Liu; Mark P Christiansen
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

Review 2.  Biomechanics of the sensor-tissue interface-effects of motion, pressure, and design on sensor performance and the foreign body response-part I: theoretical framework.

Authors:  Kristen L Helton; Buddy D Ratner; Natalie A Wisniewski
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

3.  Factory-Calibrated Continuous Glucose Sensors: The Science Behind the Technology.

Authors:  Udo Hoss; Erwin Satrya Budiman
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

4.  Modulation of the foreign body reaction for implants in the subcutaneous space: microdialysis probes as localized drug delivery/sampling devices.

Authors:  Xiaodun Mou; Michelle R Lennartz; Daniel J Loegering; Julie A Stenken
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

5.  A Multicenter Evaluation of the Performance and Usability of a Novel Glucose Monitoring System in Chinese Adults With Diabetes.

Authors:  Linong Ji; Xiaohui Guo; Lixin Guo; Qian Ren; Nan Yu; Jie Zhang
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

6.  Cell based metabolic barriers to glucose diffusion: macrophages and continuous glucose monitoring.

Authors:  Ulrike Klueh; Jackman T Frailey; Yi Qiao; Omar Antar; Donald L Kreutzer
Journal:  Biomaterials       Date:  2014-01-22       Impact factor: 12.479

7.  CGM Versus FGM; or, Continuous Glucose Monitoring Is Not Flash Glucose Monitoring.

Authors:  Lutz Heinemann; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2015-09-01

8.  Feasibility of Factory Calibration for Subcutaneous Glucose Sensors in Subjects With Diabetes.

Authors:  Udo Hoss; Erwin S Budiman; Hanqing Liu; Mark P Christiansen
Journal:  J Diabetes Sci Technol       Date:  2014-01-01

9.  Predicting Plasma Glucose From Interstitial Glucose Observations Using Bayesian Methods.

Authors:  Alexander Hildenbrand Hansen; Anne Katrine Duun-Henriksen; Rune Juhl; Signe Schmidt; Kirsten Nørgaard; John Bagterp Jørgensen; Henrik Madsen
Journal:  J Diabetes Sci Technol       Date:  2014-03-06

Review 10.  Estimating plasma glucose from interstitial glucose: the issue of calibration algorithms in commercial continuous glucose monitoring devices.

Authors:  Paolo Rossetti; Jorge Bondia; Josep Vehí; Carmine G Fanelli
Journal:  Sensors (Basel)       Date:  2010-12-03       Impact factor: 3.576

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