A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study

Liu, Chengyuan; Avari, Parizad; Leal, Yenny; Wos, Marzena; Sivasithamparam, Kumuthine; Georgiou, Pantelis; Reddy, Monika; Fern�ndez-Real, Jos� Manuel; Martin, Clare; Fern�ndez-Balsells, Mercedes; Oliver, Nick; Herrero, Pau

Abstract

© 2019 Diabetes Technology Society. 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 (

Citation

Liu, C., Avari, P., Leal, Y., Wos, M., Sivasithamparam, K., Georgiou, P., …Herrero, P. (2020). A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study. Journal of Diabetes Science and Technology, 14(1), 87-96. https://doi.org/10.1177/1932296819851135

• Journal Article Type: Article
• Acceptance Date: Apr 11, 2019
• Online Publication Date: May 22, 2019
• Publication Date: 2020-01
• Deposit Date: Jul 12, 2019
• Publicly Available Date: Jul 12, 2019
• Journal: Journal of Diabetes Science and Technology
• Electronic ISSN: 1932-2968
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Pages: 87-96
• DOI: https://doi.org/10.1177/1932296819851135
• Public URL: https://nottingham-repository.worktribe.com/output/2302732
• Publisher URL: https://journals.sagepub.com/doi/10.1177/1932296819851135