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Intraperitoneal Glucose Sensing is Sometimes Surprisingly Rapid

Authors :
Reinold Ellingsen
Nicolas-Andreas L. Elvemo
Dag Roar Hjelme
Anders Lyngvi Fougner
Øyvind Stavdahl
Sven M. Carlsen
Konstanze Kölle
Nils Kristian Skjaervold
Source :
Modeling, Identification and Control, Vol 37, Iss 2, Pp 121-131 (2016)
Publication Year :
2016
Publisher :
Norwegian Society of Automatic Control, 2016.

Abstract

Rapid, accurate and robust glucose measurements are needed to make a safe artificial pancreas for the treatment of diabetes mellitus type 1 and 2. The present gold standard of continuous glucose sensing, subcutaneous (SC) glucose sensing, has been claimed to have slow response and poor robustness towards local tissue changes such as mechanical pressure, temperature changes, etc. The present study aimed at quantifying glucose dynamics from central circulation to intraperitoneal (IP) sensor sites, as an alternative to the SC location. Intraarterial (IA) and IP sensors were tested in three anaesthetized non-diabetic pigs during experiments with intravenous infusion of glucose boluses, enforcing rapid glucose level excursions in the range 70--360 mg/dL (approximately 3.8--20 mmol/L). Optical interferometric sensors were used for IA and IP measurements. A first-order dynamic model with time delay was fitted to the data after compensating for sensor dynamics. Additionally, off-the-shelf Medtronic Enlite sensors were used for illustration of SC glucose sensing. The time delay in glucose excursions from central circulation (IA) to IP sensor location was found to be in the range 0--26 s (median: 8.5 s, mean: 9.7 s, SD 9.5 s), and the time constant was found to be 0.5--10.2 min (median: 4.8 min, mean: 4.7 min, SD 2.9 min). IP glucose sensing sites have a substantially faster and more distinctive response than SC sites when sensor dynamics is ignored, and the peritoneal fluid reacts even faster to changes in intravascular glucose levels than reported in previous animal studies. This study may provide a benchmark for future, rapid IP glucose sensors.

Details

ISSN :
18901328 and 03327353
Volume :
37
Database :
OpenAIRE
Journal :
Modeling, Identification and Control: A Norwegian Research Bulletin
Accession number :
edsair.doi.dedup.....ae242917ca18fcb0e44f1e4be5626872
Full Text :
https://doi.org/10.4173/mic.2016.2.4