A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study
| العنوان: | A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study |
|---|---|
| المؤلفون: | Yenny Leal, Kumuthine Sivasithamparam, Parizad Avari, Pau Herrero, Pantelis Georgiou, Chengyuan Liu, Marzena Wos, Nick Oliver, Clare Martin, Monika Reddy, Mercedes Fernández-Balsells, José Manuel Fernández-Real |
| المساهمون: | Commission of the European Communities |
| المصدر: | J Diabetes Sci Technol Journal of Diabetes Science and Technology © Journal of Diabetes Science and Technology, 2020, vol. 14, núm. 1, p.87-96 Articles publicats (IdIBGi) DUGiDocs – Universitat de Girona instname |
| بيانات النشر: | SAGE Publications, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | safety, Adult, Blood Glucose, Male, Decision support system, decision support, type 1 diabetes, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Biomedical Engineering, Insulin delivery, run-to-run control, 030209 endocrinology & metabolism, Bioengineering, Glycemic Control, Decision support systems, Bioinformatics, Insulin dose, 03 medical and health sciences, Sistemes d'ajuda a la decisió, 0302 clinical medicine, Insulin Infusion Systems, Diabetes mellitus, insulin delivery, Internal Medicine, medicine, Humans, Hypoglycemic Agents, Insulin, 030212 general & internal medicine, Type 1 diabetes, Diabetis, Dose-Response Relationship, Drug, business.industry, Blood Glucose Self-Monitoring, Diabetes, Original Articles, Modular design, Middle Aged, medicine.disease, Diabetes Mellitus, Type 1, Feasibility Studies, 1111 Nutrition and Dietetics, Female, Intel·ligència artificial -- Aplicacions a la medicina, business, Artificial intelligence -- Medical applications |
| الوصف: | Background: Delivering insulin in type 1 diabetes is a challenging, and potentially risky, activity; hence the importance of including safety measures as part of any insulin dosing or recommender system. This work presents and clinically evaluates a modular safety system that is part of an intelligent insulin dose recommender platform developed within the EU-funded PEPPER project. Methods: The proposed safety system is composed of four modules which use a novel glucose forecasting algorithm. These modules are predictive glucose alerts and alarms; a predictive low-glucose basal insulin suspension module; an advanced rescue carbohydrate recommender for resolving hypoglycemia; and a personalized safety constraint applied to insulin recommendations. The technical feasibility of the proposed safety system was evaluated in a pilot study including eight adult subjects with type 1 diabetes on multiple daily injections over a duration of six weeks. Glycemic control and safety system functioning were compared between the two-weeks run-in period and the end point at eight weeks. A standard insulin bolus calculator was employed to recommend insulin doses. Results: Overall, glycemic control improved over the evaluated period. In particular, percentage time in the hypoglycemia range (Conclusion: A safety system for an insulin dose recommender has been proven to be a viable solution to reduce the number of adverse events associated to glucose control in type 1 diabetes. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d89a0d62b41ec115e7c31d865da0caafTest https://europepmc.org/articles/PMC7189144Test/ |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....d89a0d62b41ec115e7c31d865da0caaf |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |