Literature DB >> 10484370

Subcutaneous glucose predicts plasma glucose independent of insulin: implications for continuous monitoring.

K Rebrin1, G M Steil, W P van Antwerp, J J Mastrototaro.   

Abstract

The present study investigated the relationship between blood and subcutaneous interstitial fluid (ISF) glucose by employing an amperometric glucose sensor specifically developed for 3-day continuous glucose monitoring. The apparent sensor sensitivity and ISF glucose equilibration delay were estimated on separate days during hyperglycemic clamps in four dogs in which insulin was either suppressed with somatostatin, allowed to change, or increased with an exogenous infusion. A 2-h sensor "settling-in" period was allowed before the clamps. During insulin deficiency, the sensor sensitivity and ISF glucose delay were 0.23 +/- 0.03 nA per mg/dl and 4.4 +/- 0. 8 min. Sensitivity was not affected by increases in endogenous (0.30 +/- 0.04 vs. 0.28 +/- 0.04 nA per mg/dl) or exogenous insulin (0.18 +/- 0.01 vs. 0.16 +/- 0.01 nA per mg/dl) nor was the delay (3.3 +/- 1.2 vs. 5.7 +/- 1.1 and 9.2 +/- 2.6 vs. 12.3 +/- 1.7 min; P > 0.05 for all). Sensor glucose accurately predicted plasma glucose without correcting for delays <10 min (r > 0.9 for all), whereas for longer delays a digital corrective filter was used (r = 0.91 with filter). We conclude that the relationship between blood and ISF glucose is not affected by insulin and that delays in ISF glucose equilibration can be corrected with digital filters.

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Year:  1999        PMID: 10484370     DOI: 10.1152/ajpendo.1999.277.3.E561

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  84 in total

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2.  Quantifying the composition of human skin for glucose sensor development.

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3.  Real-time glucose estimation algorithm for continuous glucose monitoring using autoregressive models.

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4.  Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms.

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Journal:  J Diabetes Sci Technol       Date:  2010-03-01

5.  Effect of short-term use of a continuous glucose monitoring system with a real-time glucose display and a low glucose alarm on incidence and duration of hypoglycemia in a home setting in type 1 diabetes mellitus.

Authors:  Raymond J Davey; Timothy W Jones; Paul A Fournier
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

6.  Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset.

Authors:  Kerstin Rebrin; Norman F Sheppard; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

7.  Continuous glucose monitoring in subjects with type 1 diabetes: improvement in accuracy by correcting for background current.

Authors:  Joseph El Youssef; Jessica R Castle; Julia M Engle; Ryan G Massoud; W Kenneth Ward
Journal:  Diabetes Technol Ther       Date:  2010-09-30       Impact factor: 6.118

8.  Anticipating the next meal using meal behavioral profiles: a hybrid model-based stochastic predictive control algorithm for T1DM.

Authors:  C S Hughes; S D Patek; M Breton; B P Kovatchev
Journal:  Comput Methods Programs Biomed       Date:  2010-06-19       Impact factor: 5.428

9.  Modeling Plasma-to-Interstitium Glucose Kinetics from Multitracer Plasma and Microdialysis Data.

Authors:  Michele Schiavon; Chiara Dalla Man; Simmi Dube; Michael Slama; Yogish C Kudva; Thomas Peyser; Ananda Basu; Rita Basu; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2015-08-27       Impact factor: 6.118

10.  Markers of glycemic control in the mouse: comparisons of 6-h- and overnight-fasted blood glucoses to Hb A1c.

Authors:  Byoung Geun Han; Chuan-Ming Hao; Elena E Tchekneva; Ying-Ying Wang; Chieh Allen Lee; Benyamin Ebrahim; Raymond C Harris; Timothy S Kern; David H Wasserman; Matthew D Breyer; Zhonghua Qi
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-07-29       Impact factor: 4.310

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