1. Estudio de factibilidad del sistema de seguridad pepper, un componente de un sistema personalizado de soporte de decisiones de autogestión de la DM1
- Author
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Leal Moncada, Yenny Teresa, Wos, Marzena, Avari, Parizad, Herrero i Viñas, Pau, Esteve, Eduardo, Sojo-Vega, Lidia, and Fernández-Balsells, Mercè
- Subjects
Case-based reasoning ,Diabetis ,Sistemes d'ajuda a la decisió ,Diabetes ,Raonament basat en casos ,Intel·ligència artificial -- Aplicacions a la medicina ,Decision support systems ,Artificial intelligence -- Medical applications - Abstract
Presentació de la comunicació de congrés presentada al Congreso Nacional de la Sociedad Española de Diabetes (24-26 d'abril: Sevilla) Background: The Patient Empowerment through Predictive Personalised Decision Support (PEPPER) integrated system is designed to provide personalised bolus advice for people with Type 1 diabetes (T1DM). The system delivers insulin dosing decision support based on case-based reasoning (CBR), coupled with a safety system, which includes predictive glucose alarms, low glucose suspend for insulin pump users, and personalised carbohydrate recommendations. We aimed to assess proof of concept and feasibility of the PEPPER safety system. Methods: This is a Phase 1 non-randomised open-labelled 8-week study to assess the safety system outcomes (without CBR-based insulin dosing decision support). Eight adults with T1DM on multiple daily injection of insulin (MDI) participated. Following two weeks of unblinded continuous glucose monitoring (CGM, Dexcom G5), participants completed six further weeks using CGM with the PEPPER safety system active. Baseline outcomes derived from the run-in period were compared with end-point. Results: Participants were (median (interquartile range)) aged 38(31.8-53.5) years, with a diabetes duration of 22.5(18.0-26.5) years and HbA1c 63(57-66) mmol/mol. Percentage time in hypoglycaemia (
- Published
- 2020