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Evaluation of a Novel Glucose Area Under the Curve (AUC) Monitoring System: Comparison with the AUC by Continuous Glucose Monitoring

Authors :
Satoshi Ugi
Hiroshi Maegawa
Katsutaro Morino
Yoshihiko Nishio
Toshiyuki Sato
Seiki Okada
Yasuo Kikkawa
Toshihiro Watanabe
Hiromu Nakajima
Atsunori Kashiwagi
Source :
Diabetes & Metabolism Journal, Vol 40, Iss 4, Pp 326-333 (2016)
Publication Year :
2016
Publisher :
Korean Diabetes Association, 2016.

Abstract

BackgroundManagement of postprandial hyperglycemia is a key aspect in diabetes treatment. We developed a novel system to measure glucose area under the curve (AUC) using minimally invasive interstitial fluid extraction technology (MIET) for simple monitoring of postprandial glucose excursions. In this study, we evaluated the relationship between our system and continuous glucose monitoring (CGM) by comparing glucose AUC obtained using MIET with that obtained using CGM for a long duration.MethodsTwenty diabetic inpatients wearing a CGM system were enrolled. For MIET measurement, a plastic microneedle array was applied to the skin as pretreatment, and hydrogels were placed on the pretreated area to collect interstitial fluid. Hydrogels were replaced every 2 or 4 hours and AUC was predicted on the basis of glucose and sodium ion levels.ResultsAUC predicted by MIET correlated well with that measured by CGM (r=0.93). Good performances of both consecutive 2- and 4-hour measurements were observed (measurement error: 11.7%±10.2% for 2 hours and 11.1%±7.9% for 4 hours), indicating the possibility of repetitive measurements up to 8 hours. The influence of neither glucose fluctuation nor average glucose level over the measurement accuracy was observed through 8 hours.ConclusionOur system showed good relationship with AUC values from CGM up to 8 hours, indicating that single pretreatment can cover a large portion of glucose excursion in a day. These results indicated possibility of our system to contribute to convenient monitoring of glucose excursions for a long duration.

Details

Language :
English
ISSN :
22336079 and 22336087
Volume :
40
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Diabetes & Metabolism Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.34612cdce5564ca3a89cc2d372a9d9f4
Document Type :
article
Full Text :
https://doi.org/10.4093/dmj.2016.40.4.326