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Modeling the variability of insulin sensitivity for people with Type 1 Diabetes based on clinical data from an artificial pancreas study

Authors :
H. M. Romero Ugalde
P.Y. Benhamou
Maeva Doron
Emma Villeneuve
Erik Huneker
R. Blanc
Sylvia Franc
Guillaume Charpentier
Source :
EMBC
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Type 1 Diabetes is an autoimmune disease that eliminates endogenous insulin production. Without the crucial hormone insulin, which is necessary to equilibrate the blood glucose level, the patient must inject insulin subcutaneously. Treatment must be personalized (timing and size of insulin delivery) to achieve glycaemic equilibrium and avoid long-term comorbidities. Patients are educated on Functional Insulin Therapy (FIT) in order to independently adjust insulin delivery several times a day (at least prior to each meal and physical activity). Among personalized parameters, the Correction Factor is used to occasionally correct hyperglycemia via the injection of an insulin dose (bolus) and its value determines the bolus size. Although well-known in common diabetes practice for chronically poorly controlled patients, the phenomenon of "hyperglycemia induces insulin resistance" on a short term basis in patients with rather well controlled diabetes is presented here. Using a new database of evidence, we show that the insulin sensitivity factor, depends on the current level of glycaemia. This opens the door to refining dosing rules for patients and insulin delivery devices in artificial pancreas systems.

Details

Database :
OpenAIRE
Journal :
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Accession number :
edsair.doi.dedup.....1a5bf7d327010d0c1c79aa5cb8d1cb27