Literature DB >> 12882870

Physiological differences between interstitial glucose and blood glucose measured in human subjects.

Eray Kulcu1, Janet A Tamada, Gerard Reach, Russell O Potts, Matthew J Lesho.   

Abstract

OBJECTIVE: This study investigated whether glucose readings from a sensor sampling in interstitial fluid differ substantially from blood glucose (BG) values measured at the same time. RESEARCH DESIGN AND METHODS: We have evaluated the relationship between BG and glucose extracted from interstitial fluid using the GlucoWatch (Cygnus, Redwood City, CA) biographer, a device that collects glucose from subcutaneous interstitial space through intact skin by application of a low electric current. We evaluated the relative change in the interstitial glucose (IG) signal (IGS) as measured by the biographer versus BG using a normalized two-point sensitivity index (NSI).
RESULTS: The results show that biographer measures of IG differ in time and magnitude from the corresponding BG values. In particular, the biographer values were shifted in time due to instrumental and physiological lag. Results show an average total lag of 17.2 +/- 7.2 min for all subjects evaluated. The instrumental lag was 13.5 min, suggesting that physiological lag is approximately 5 min. In addition, when glucose was increasing, the change in IGS was less than that in BG, while when BG was decreasing, the change in IGS was greater than that in BG.
CONCLUSIONS: Similar results have been reported for other measures of IG, suggesting that differences reflect physiological variation in glucose uptake, utilization, and elimination in blood and interstitial space. This further evidence of the difference between IG and BG should be considered when interpreting glucose measurements from devices that sample interstitial fluid.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12882870     DOI: 10.2337/diacare.26.8.2405

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  70 in total

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

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

Review 2.  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

3.  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

4.  Comparison of the numerical and clinical accuracy of four continuous glucose monitors.

Authors:  Boris Kovatchev; Stacey Anderson; Lutz Heinemann; William Clarke
Journal:  Diabetes Care       Date:  2008-03-13       Impact factor: 19.112

5.  Graphical and numerical evaluation of continuous glucose sensing time lag.

Authors:  Boris P Kovatchev; Devin Shields; Marc Breton
Journal:  Diabetes Technol Ther       Date:  2009-03       Impact factor: 6.118

6.  Peculiarities of the continuous glucose monitoring data stream and their impact on developing closed-loop control technology.

Authors:  Boris Kovatchev; William Clarke
Journal:  J Diabetes Sci Technol       Date:  2008-01

7.  Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier.

Authors:  Daniela Bruttomesso; Anne Farret; Silvana Costa; Maria Cristina Marescotti; Monica Vettore; Angelo Avogaro; Antonio Tiengo; Chiara Dalla Man; Jerome Place; Andrea Facchinetti; Stefania Guerra; Lalo Magni; Giuseppe De Nicolao; Claudio Cobelli; Eric Renard; Alberto Maran
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

8.  Optimum subcutaneous glucose sampling and fourier analysis of continuous glucose monitors.

Authors:  Marc D Breton; Devin P Shields; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2008-05

Review 9.  Why Have So Many Intravascular Glucose Monitoring Devices Failed?

Authors:  John L Smith; Mark J Rice
Journal:  J Diabetes Sci Technol       Date:  2015-07

10.  Robust fault detection system for insulin pump therapy using continuous glucose monitoring.

Authors:  Pau Herrero; Remei Calm; Josep Vehí; Joaquim Armengol; Pantelis Georgiou; Nick Oliver; Christofer Tomazou
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.