Literature DB >> 26846821

Feasibility of an Orthogonal Redundant Sensor incorporating Optical plus Redundant Electrochemical Glucose Sensing.

Sybil A McAuley1, Tri T Dang2, Jodie C Horsburgh3, Anubhuti Bansal2, Glenn M Ward1, Sarkis Aroyan2, Alicia J Jenkins4, Richard J MacIsaac1, Rajiv V Shah2, David N O'Neal5.   

Abstract

BACKGROUND: Orthogonal redundancy for glucose sensing (multiple sensing elements utilizing distinct methodologies) may enhance performance compared to nonredundant sensors, and to sensors with multiple elements utilizing the same technology (simple redundancy). We compared the performance of a prototype orthogonal redundant sensor (ORS) combining optical fluorescence and redundant electrochemical sensing via a single insertion platform to an electrochemical simple redundant sensor (SRS).
METHODS: Twenty-one adults with type 1 diabetes wore an ORS and an SRS concurrently for 7 days. Following sensor insertion, and on Day 4 with a standardized meal, frequent venous samples were collected for reference glucose measurement (laboratory [YSI] and meter) over 3 and 4 hours, respectively. Between study visits reference capillary blood glucose testing was undertaken. Sensor data were processed prospectively.
RESULTS: ORS mean absolute relative difference (MARD) was (mean ± SD) 10.5 ± 13.2% versus SRS 11.0 ± 10.4% (P = .34). ORS values in Clarke error grid zones A and A+B were 88.1% and 97.6%, respectively, versus SRS 86.4% and 97.8%, respectively (P = .23 and P = .84). ORS Day 1 MARD (10.7 ± 10.7%) was superior to SRS (16.5 ± 13.4%; P < .0001), and comparable to ORS MARD for the week. ORS sensor survival (time-averaged mean) was 92.1% versus SRS 74.4% (P = .10). ORS display time (96.0 ± 5.8%) was equivalent to SRS (95.6 ± 8.9%; P = .87).
CONCLUSIONS: Combining simple and orthogonal sensor redundancy via a single insertion is feasible, with accuracy comparing favorably to current generation nonredundant sensors. Addition of an optical component potentially improves sensor reliability compared to electrochemical sensing alone. Further improvement in optical sensing performance is required prior to clinical application.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  accuracy; continuous glucose monitoring; optical fluorescence; orthogonal redundancy; reliability; sensor redundancy

Mesh:

Substances:

Year:  2016        PMID: 26846821      PMCID: PMC5038539          DOI: 10.1177/1932296816629982

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


  26 in total

1.  In vivo evaluation of an electroenzymatic glucose sensor implanted in subcutaneous tissue.

Authors:  K W Johnson; J J Mastrototaro; D C Howey; R L Brunelle; P L Burden-Brady; N A Bryan; C C Andrew; H M Rowe; D J Allen; B W Noffke
Journal:  Biosens Bioelectron       Date:  1992       Impact factor: 10.618

2.  A fluorescence affinity hollow fiber sensor for continuous transdermal glucose monitoring.

Authors:  R Ballerstadt; J S Schultz
Journal:  Anal Chem       Date:  2000-09-01       Impact factor: 6.986

Review 3.  Biomechanics of the sensor-tissue interface-effects of motion, pressure, and design on sensor performance and foreign body response-part II: examples and application.

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

Review 4.  Single-walled carbon nanotube-based near-infrared optical glucose sensors toward in vivo continuous glucose monitoring.

Authors:  Kyungsuk Yum; Thomas P McNicholas; Bin Mu; Michael S Strano
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

5.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

Review 6.  Quality of life and diabetes.

Authors:  R R Rubin; M Peyrot
Journal:  Diabetes Metab Res Rev       Date:  1999 May-Jun       Impact factor: 4.876

Review 7.  Fluorescence-based glucose sensors.

Authors:  John C Pickup; Faeiza Hussain; Nicholas D Evans; Olaf J Rolinski; David J S Birch
Journal:  Biosens Bioelectron       Date:  2004-11-21       Impact factor: 10.618

8.  A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system.

Authors:  Mark Christiansen; Timothy Bailey; Elaine Watkins; David Liljenquist; David Price; Katherine Nakamura; Robert Boock; Thomas Peyser
Journal:  Diabetes Technol Ther       Date:  2013-06-18       Impact factor: 6.118

Review 9.  The artificial pancreas: current status and future prospects in the management of diabetes.

Authors:  Thomas Peyser; Eyal Dassau; Marc Breton; Jay S Skyler
Journal:  Ann N Y Acad Sci       Date:  2014-04       Impact factor: 5.691

10.  Continuous glucose monitoring and intensive treatment of type 1 diabetes.

Authors:  William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  N Engl J Med       Date:  2008-09-08       Impact factor: 91.245

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  2 in total

Review 1.  Moving Toward a Unified Platform for Insulin Delivery and Sensing of Inputs Relevant to an Artificial Pancreas.

Authors:  Anneke Graf; Sybil A McAuley; Catriona Sims; Johanna Ulloa; Alicia J Jenkins; Gayane Voskanyan; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-12-13

2.  Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor.

Authors:  Lyvia Biagi; Charrise M Ramkissoon; Andrea Facchinetti; Yenny Leal; Josep Vehi
Journal:  Sensors (Basel)       Date:  2017-06-12       Impact factor: 3.576

  2 in total

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