Literature DB >> 16306547

Comparison of a needle-type and a microdialysis continuous glucose monitor in type 1 diabetic patients.

Iris M Wentholt1, Marit A Vollebregt, Augustus A Hart, Joost B Hoekstra, J Hans DeVries.   

Abstract

OBJECTIVE: We examined the reliability of two continuous glucose sensors in type 1 diabetic patients at night and during rapid glucose excursions and verified the hypothesized nocturnal hypoglycemic drift of the needle-type sensor (CGMSgold) and delay of the microdialysis sensor (GlucoDay). RESEARCH DESIGN AND METHODS: Blood was sampled overnight twice per hour in 13 patients. Rapid-acting insulin was given subcutaneously 30 min after breakfast. Sampling once per minute started 45 min after breakfast and 75 min after insulin injection for 30 min, with the aim of determining peak and nadir glucose values. Mean absolute differences (MADs) between sensor and blood glucose values were calculated. Sensor curves were modeled for all patients using linear regression. Horizontal and vertical shifts of sensor curves from the blood glucose curves were assessed. A vertical shift indicates sensor drift and a horizontal shift sensor delay.
RESULTS: Drift was minimal in the needle-type and microdialysis sensors (-0.02 and -0.04 mmol/l). Mean +/- SD delay was 7.1 +/- 5.5 min for the microdialysis sensor (P < 0.001). MAD was 15.0% for the needle-type sensor and 13.6% for the microdialysis sensor (P = 0.013). After correction for the 7-min delay, the microdialysis MAD improved to 11.7% (P < 0.0001).
CONCLUSIONS: The microdialysis sensor was more accurate than the needle-type sensor, with or without correction for a 7-min delay. In contrast to the previous version, the current needle-type sensor did not exhibit nocturnal hypoglycemic drift. Continuous subcutaneous glucose sensors are valuable adjunctive tools for glucose trend analyses. However, considering the large MADs, individual sensor values should be interpreted with caution.

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Year:  2005        PMID: 16306547     DOI: 10.2337/diacare.28.12.2871

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


  29 in total

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Journal:  J Diabetes Sci Technol       Date:  2010-09-01

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

Authors:  Yenny Leal; Winston Garcia-Gabin; Jorge Bondia; Eduardo Esteve; Wifredo Ricart; Jose-Manuel Fernández-Real; Josep Vehí
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

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

4.  Association of glucose levels and glucose variability with mood in type 1 diabetic patients.

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Journal:  Diabetologia       Date:  2007-03-17       Impact factor: 10.122

5.  Accuracy and reliability of continuous glucose monitoring systems: a head-to-head comparison.

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Journal:  Diabetes Technol Ther       Date:  2013-05-07       Impact factor: 6.118

6.  Continuous Glucose Sensors: Continuing Questions about Clinical Accuracy.

Authors:  William L Clarke; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2007-09

7.  On-chip microdialysis system with flow-through glucose sensing capabilities.

Authors:  Yi-Cheng Hsieh; Jeffrey D Zahn
Journal:  J Diabetes Sci Technol       Date:  2007-05

8.  Pilot studies of transdermal continuous glucose measurement in outpatient diabetic patients and in patients during and after cardiac surgery.

Authors:  Han Chuang; My-Quyen Trieu; James Hurley; Elizabeth J Taylor; Michael R England; Stanley A Nasraway
Journal:  J Diabetes Sci Technol       Date:  2008-07

9.  Glucose sensing issues for the artificial pancreas.

Authors:  J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2008-07

10.  Clinical evaluation of subcutaneous lactate measurement in patients after major cardiac surgery.

Authors:  Martin Ellmerer; Martin Haluzik; Jan Blaha; Jaromir Kremen; Stepan Svacina; Andreas Plasnik; Dimas Ikeoka; Manfred Bodenlenz; Lukas Schaupp; Johannes Plank; Thomas R Pieber
Journal:  Int J Endocrinol       Date:  2009-05-26       Impact factor: 3.257

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