Amperometric glucose sensors: Sources of error and potential benefit of redundancy

Journal of Diabetes Science and Technology

Volumn 4, Issue 1, 2010, Pages 221-225

  Castle, Jessica R ^a   Ward, W Kenneth ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

Accuracy; Closed loop system; Multiple; Redundancy; Sensor

Indexed keywords

ANTIDIABETIC AGENT;

AMBULATORY MONITORING; BLOOD; BLOOD GLUCOSE MONITORING; CALIBRATION; EQUIPMENT; EQUIPMENT DESIGN; EVALUATION; GENETIC PROCEDURES; GLUCOSE BLOOD LEVEL; HUMAN; INFUSION PUMP; INSTRUMENTATION; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN INFUSION; METHODOLOGY; REVIEW; STANDARD;

BIOSENSING TECHNIQUES; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; CALIBRATION; DIABETES MELLITUS, TYPE 1; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; HYPOGLYCEMIC AGENTS; INFUSION PUMPS, IMPLANTABLE; INSULIN INFUSION SYSTEMS; MONITORING, AMBULATORY; RESEARCH DESIGN;

EID: 77950062222     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681000400127     Document Type: Review

References (17)

1. Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. The effect of continuous glucose monitoring in well-controlled type 1 diabetes. Diabetes Care. 2009;32(8):1378-83.
2. Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Continuous glucose monitoring and intensive treatment of type 1 diabetes. N Engl J Med. 2008;359(14)1464-76.
3. Kovatchev B, Anderson S, Heinemann L, Clarke W. Comparison of the numerical and clinical accuracy of four continuous glucose monitors. Diabetes Care. 2008;31(6):1160-4.
4. Garg SK, Smith J, Beatson C, Lopez-Baca B, Voelmle M, Gottlieb PA. Comparison of accuracy and safety of the SEVEN and the Navigator Continuous Glucose Monitoring Systems. Diabetes Technol Ther. 2009;11(2):65-72.
5. Mazze RS, Strock E, Borgman S, Wesley D, Stout P, Racchini J. Evaluating the accuracy, reliability, and clinical applicability of continuous glucose monitoring (CGM): is CGM ready for real time? Diabetes Technol Ther. 2009;11(1):11-8.
6. Garg SK, Schwartz S, Edelman SV. Improved glucose excursions using an implantable real-time continuous glucose sensor in adults with type 1 diabetes. Diabetes Care. 2004;27(3):734-8.
7. Wentholt IM, Hart AA, Hoekstra JB, Devries JH. Relationship between interstitial and blood glucose in type 1 diabetes patients: delay and the push-pull phenomenon revisited. Diabetes Technol Ther. 2007;9(2):169-75.
8. Ward WK, Wood MD, Troupe JE. Rise in background current over time in a subcutaneous glucose sensor in the rabbit: relevance to calibration and accuracy. Biosens Bioelectron. 2000;15(1-2):53-61.
9. Kellogg DL Jr. In vivo mechanisms of cutaneous vasodilation and vasoconstriction in humans during thermoregulatory challenges. J Appl Physiol. 2006;100(5):1709-18.
10. Gilligan BJ, Shults MC, Rhodes RK, Updike SJ. Evaluation of a subcutaneous glucose sensor out to 3 months in a dog model. Diabetes Care. 1994;17(8):882-7.
11. Ward WK. A review of the foreign-body response to subcutaneously- implanted devices: role of macrophages and cytokines in biofouling and fibrosis. J Diabetes Sci Technol. 2008;2(5):768-77.
12. Sharkawy AA, Klitzman B, Truskey GA, Reichert WM. Engineering the tissue which encapsulates subcutaneous implants. I. Diffusion properties. J Biomed Mater Res. 1997;37(3):401-12.
13. Sharkawy AA, Klitzman B, Truskey GA, Reichert WM. Engineering the tissue which encapsulates subcutaneous implants. II. Plasma-tissue exchange properties. J Biomed Mater Res. 1998;40(4):586-97.
14. Sharkawy AA, Klitzman B, Truskey GA, Reichert WM. Engineering the tissue which encapsulates subcutaneous implants. III. Effective tissue response times. J Biomed Mater Res. 1998;40(4):598-605.
15. Gifford R, Batchelor MM, Lee Y, Gokulrangan G, Meyerhoff ME, Wilson GS. Mediation of in vivo glucose sensor inflammatory response via nitric oxide release. J Biomed Mater Res A. 2005;75(4):755-66.
16. Schmidtke DW, Pishko MV, Quinn CP, Heller A. Statistics for critical clinical decision making based on readings of pairs of implanted sensors. Anal Chem. 1996;68(17):2845-9.
17. Ward WK, Casey HM, Quinn MJ, Federiuk IF, Wood MD. A fully implantable subcutaneous glucose sensor array: enhanced accuracy from multiple sensing units and a median-based algorithm. Diabetes Technol Ther. 2003;5(6):943-52.