Literature DB >> 19674490

Correspondence of continuous interstitial glucose measurement against arterialised and capillary glucose following an oral glucose tolerance test in healthy volunteers.

Louise Dye1, Michael Mansfield, Nicola Lasikiewicz, Lena Mahawish, Rainer Schnell, Duncan Talbot, Hitesh Chauhan, Fiona Croden, Clare Lawton.   

Abstract

The aim of the present study was to validate the Glucoday continuous interstitial ambulatory glucose-monitoring device (AGD) against plasma glucose measured from arterialised venous (AV) and glucose from capillary whole blood (finger prick, FP) in non-diabetic subjects in response to an oral glucose tolerance test. Fifteen healthy overweight men (age 30-49 years, BMI 26-31 kg/m2) participated. Glucose levels were measured before, during and after consumption of an oral 75 g glucose load using twelve FP samples and forty-four 1 ml AV blood samples during 180 min. Interstitial glucose was measured via the AGD. Three venous samples for fasting insulin were taken to estimate insulin resistance. Profiles of AGD, AV and FP glucose were generated for each participant. Glucose values for each minute of the measurement period were interpolated using a locally weighted scatterplot smoother. Data were compared using Bland-Altman plots that showed good correspondence between all pairs of measurements. Concordance between the three methods was 0.8771 (Kendall's W, n 15, P < 0.001). Concordance was greater between AV and FP (W = 0.9696) than AGD and AV (W = 0.8770) or AGD and FP (W = 0.8764). Analysis of time to peak glucose indicated that AGD measures lagged approximately 15 min behind FP and AV measures. Percent body fat was significantly correlated with time to peak glucose levels for each measure, while BMI and estimated insulin resistance (homeostatic model assessment, HOMA) were not. In conclusion, AGD shows good correspondence with FP and AV glucose measures in response to a glucose load with a 15 min time lag. Taking this into account, AGD has potential application in nutrition and behaviour studies.

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Year:  2009        PMID: 19674490     DOI: 10.1017/S0007114509991504

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  9 in total

1.  Time lag of glucose from intravascular to interstitial compartment in humans.

Authors:  Ananda Basu; Simmi Dube; Michael Slama; Isabel Errazuriz; Jose Carlos Amezcua; Yogish C Kudva; Thomas Peyser; Rickey E Carter; Claudio Cobelli; Rita Basu
Journal:  Diabetes       Date:  2013-09-05       Impact factor: 9.461

2.  The role of motivation, glucose and self-control in the antisaccade task.

Authors:  Claire L Kelly; Sandra I Sünram-Lea; Trevor J Crawford
Journal:  PLoS One       Date:  2015-03-31       Impact factor: 3.240

3.  Long-term blood glucose monitoring with implanted telemetry device in conscious and stress-free cynomolgus monkeys.

Authors:  B Wang; G Sun; W Qiao; Y Liu; J Qiao; W Ye; H Wang; X Wang; R Lindquist; Y Wang; Y-F Xiao
Journal:  J Endocrinol Invest       Date:  2017-04-01       Impact factor: 4.256

4.  Discordance Between Glucose Levels Measured in Interstitial Fluid vs in Venous Plasma After Oral Glucose Administration: A Post-Hoc Analysis From the Randomised Controlled PRE-D Trial.

Authors:  Kristine Færch; Hanan Amadid; Lea Bruhn; Kim Katrine Bjerring Clemmensen; Adam Hulman; Mathias Ried-Larsen; Martin Bæk Blond; Marit Eika Jørgensen; Dorte Vistisen
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-05       Impact factor: 5.555

5.  Effect of high-amylose starch branching enzyme II wheat mutants on starch digestibility in bread, product quality, postprandial satiety and glycaemic response.

Authors:  Marina Corrado; Jennifer H Ahn-Jarvis; Brendan Fahy; George M Savva; Cathrina H Edwards; Brittany A Hazard
Journal:  Food Funct       Date:  2022-02-07       Impact factor: 5.396

6.  Glucose sensing in the peritoneal space offers faster kinetics than sensing in the subcutaneous space.

Authors:  Daniel R Burnett; Lauren M Huyett; Howard C Zisser; Francis J Doyle; Brett D Mensh
Journal:  Diabetes       Date:  2014-03-12       Impact factor: 9.461

7.  Comparison of Continuous Glucose Monitoring between Dexcom G4 Platinum and HD-XG Systems in Nonhuman Primates (Macaca Fascicularis).

Authors:  Bingdi Wang; Wei Qiao; Weiwei Ye; Xiaoli Wang; Yongqiang Liu; Yixin Jim Wang; Yong-Fu Xiao
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

8.  Comparison between a flash glucose monitoring system and a portable blood glucose meter for monitoring dogs with diabetes mellitus.

Authors:  Francesca Del Baldo; Claudia Canton; Silvia Testa; Harry Swales; Ignazio Drudi; Stefania Golinelli; Federico Fracassi
Journal:  J Vet Intern Med       Date:  2020-10-30       Impact factor: 3.333

9.  Modelling the relationship between continuously measured glucose and electrocardiographic data in adults with type 1 diabetes mellitus.

Authors:  Beatrice Charamba; Aaron Liew; Eileen Coen; John Newell; Timothy O'Brien; William Wijns; Andrew J Simpkin
Journal:  Endocrinol Diabetes Metab       Date:  2021-05-29
  9 in total

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