Literature DB >> 14578298

Timing of changes in interstitial and venous blood glucose measured with a continuous subcutaneous glucose sensor.

Michael S Boyne1, David M Silver, Joy Kaplan, Christopher D Saudek.   

Abstract

The objective of this study was to use a subcutaneous continuous glucose sensor to determine time differences in the dynamics of blood glucose and interstitial glucose. A total of 14 patients with type 1 diabetes each had two sensors (Medtronic/MiniMed CGMS) placed subcutaneously in the abdomen, acquiring data every 5 min. Blood glucose was sampled every 5 min for 8 h, and two liquid meals were given. A smoothing algorithm was applied to the blood glucose and interstitial glucose curves. The first derivatives of the glucose traces defined and quantified the timing of rises, peaks, falls, and nadirs. Altogether, 24 datasets were used for the analysis of time differences between interstitial and blood glucose and between sensors in each patient. Time differences between blood and interstitial glucose ranged from 4 to 10 min, with the interstitial glucose lagging behind blood glucose in 81% of cases (95% CIs 72.5 and 89.5%). The mean (+/-SD) difference between the two sensors in each patient was 6.7 +/- 5.1 min, representing random variation in sensor response. In conclusion, there is a time lag of interstitial glucose behind blood glucose, regardless of whether glycemia is rising or falling, but intersensor variability is considerable in this sensor system. Comparisons of interstitial and blood glucose kinetics must take statistical account of variability between sensors.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14578298     DOI: 10.2337/diabetes.52.11.2790

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  129 in total

1.  Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.

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

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

Authors:  Willemijn Groenendaal; Golo von Basum; Kristiane A Schmidt; Peter A J Hilbers; Natal A W van Riel
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

3.  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

Review 4.  Technologies for continuous glucose monitoring: current problems and future promises.

Authors:  Santhisagar Vaddiraju; Diane J Burgess; Ioannis Tomazos; Faquir C Jain; Fotios Papadimitrakopoulos
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

5.  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

6.  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

7.  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

Review 8.  Current problems and potential techniques in in vivo glucose monitoring.

Authors:  Y Wickramasinghe; Y Yang; S A Spencer
Journal:  J Fluoresc       Date:  2004-09       Impact factor: 2.217

9.  Evaluation of factors affecting CGMS calibration.

Authors:  Bruce A Buckingham; Craig Kollman; Roy Beck; Andrea Kalajian; Rosanna Fiallo-Scharer; Michael J Tansey; Larry A Fox; Darrell M Wilson; Stuart A Weinzimer; Katrina J Ruedy; William V Tamborlane
Journal:  Diabetes Technol Ther       Date:  2006-06       Impact factor: 6.118

Review 10.  Implantable nanosensors: toward continuous physiologic monitoring.

Authors:  Timothy T Ruckh; Heather A Clark
Journal:  Anal Chem       Date:  2013-12-10       Impact factor: 6.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.