Literature DB >> 11469711

Comparison of glucose levels in dermal interstitial fluid and finger capillary blood.

P J Stout1, N Peled, B J Erickson, M E Hilgers, J R Racchini, T B Hoegh.   

Abstract

Alternative methods for self-monitoring of blood glucose have been pursued by many researchers, largely in response to evidence gathered in several long-term studies of patients with diabetes mellitus. These studies suggest that long-term complications of the disease may be mitigated if the disease is intensively managed, a component of which is increased monitoring. Many of the alternative methods utilize interstitial fluid (ISF) as the diagnostic fluid, rather than finger blood. A time lag in the distribution of glucose from blood to the interstitium has been observed by many, with estimates of lag time varying from none to 45 min. Dermal ISF was sampled from diabetic subjects in two tests and compared to finger blood glucose. In the first test, data were collected over time in a manner that allowed a cross-correlation analysis to predict an average lag time. Information from this test was then used as input to a data collection format for a method comparison test of 691 patients with diabetes in which ISF data were collected immediately after the finger blood reference and 15 min after the reference. An average lag time of about 25 min was determined from the cross-correlation analysis, with the correlation error reduced by three-fourths within a 15-min lag time. In the method comparison test, the correlation coefficient between finger blood glucose and ISF glucose improved from 0.923 to 0.951, and the percentage of data in the A zone of the Clarke Error Grid rose from 80.2% to 90.6% for the ISF glucose data collected at no lag and 15-min lag, respectively. Dermal ISF glucose measurement might be a reasonable alternative to blood glucose measurement for patients routinely monitoring ambient glycemia, although more testing in the sensitive hypoglycemic range is needed to clarify what might happen in cases of rapidly changing glucose.

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Year:  2001        PMID: 11469711     DOI: 10.1089/152091501750220046

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  18 in total

Review 1.  Accuracy of point-of-care glucose measurements.

Authors:  Annette Rebel; Mark A Rice; Brenda G Fahy
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

Review 2.  A tale of two compartments: interstitial versus blood glucose monitoring.

Authors:  Eda Cengiz; William V Tamborlane
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

3.  Minimizing the impact of time lag variability on accuracy evaluation of continuous glucose monitoring systems.

Authors:  Cosimo Scuffi; Fausto Lucarelli; Francesco Valgimigli
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

4.  Evaluation of lacrimal fluid as an alternative for monitoring glucose in critically ill patients.

Authors:  Jaclyn M Leblanc; Curtis E Haas; Glorimar Vicente; Luis A Colon
Journal:  Intensive Care Med       Date:  2005-08-16       Impact factor: 17.440

5.  Sampling interstitial fluid from human skin using a microneedle patch.

Authors:  Pradnya P Samant; Megan M Niedzwiecki; Nicholas Raviele; Vilinh Tran; Juan Mena-Lapaix; Douglas I Walker; Eric I Felner; Dean P Jones; Gary W Miller; Mark R Prausnitz
Journal:  Sci Transl Med       Date:  2020-11-25       Impact factor: 17.956

6.  Continuous glucose monitoring system in a rural intensive care unit: a pilot study evaluating accuracy and acceptance.

Authors:  Brooke Jacobs; Kim Phan; Leonard Bertheau; Godwin Dogbey; Frank Schwartz; Jay Shubrook
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

7.  Microneedle-based automated therapy for diabetes mellitus.

Authors:  Puneet Khanna; Joel A Strom; John I Malone; Shekhar Bhansali
Journal:  J Diabetes Sci Technol       Date:  2008-11

8.  A comparison of adipose tissue interstitial glucose and venous blood glucose during postprandial resistance exercise in patients with type 2 diabetes.

Authors:  Timothy D Heden; Ying Liu; Jill A Kanaley
Journal:  J Appl Physiol (1985)       Date:  2017-09-28

Review 9.  Microneedle-based devices for point-of-care infectious disease diagnostics.

Authors:  Rachael V Dixon; Eldhose Skaria; Wing Man Lau; Philip Manning; Mark A Birch-Machin; S Moein Moghimi; Keng Wooi Ng
Journal:  Acta Pharm Sin B       Date:  2021-02-16       Impact factor: 11.413

Review 10.  Trending Technology of Glucose Monitoring during COVID-19 Pandemic: Challenges in Personalized Healthcare.

Authors:  Le Minh Tu Phan; Thuy Anh Thu Vo; Thi Xoan Hoang; Sathish Panneer Selvam; Hoang Lan Pham; Jae Young Kim; Sungbo Cho
Journal:  Adv Mater Technol       Date:  2021-05-06
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