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Intraperitoneal Glucose Sensing is Sometimes Surprisingly Rapid
- 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.
- Subjects :
- medicine.medical_specialty
Closed-loop systems
Glucose sensing
030209 endocrinology & metabolism
01 natural sciences
lcsh:QA75.5-76.95
010309 optics
03 medical and health sciences
Mechanical pressure
0302 clinical medicine
0103 physical sciences
medicine
Slow response
Glucose sensors
Glucose dynamics
Chemistry
Diabetes
Glucose Measurement
Time constant
Type 2 diabetes
Computer Science Applications
Surgery
Type 1 diabetes
Artificial Pancreas
Control and Systems Engineering
Modeling and Simulation
lcsh:Electronic computers. Computer science
Software
Biomedical engineering
Subjects
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