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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.
Annu Int Conf IEEE Eng Med Biol Soc ; 2019: 5465-5468, 2019 Jul.
Article en En | MEDLINE | ID: mdl-31947092
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Páncreas Artificial / Diabetes Mellitus Tipo 1 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Páncreas Artificial / Diabetes Mellitus Tipo 1 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos