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Presentació de la comunicació de congrés presentada a: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD)(12th: febrer 2019: Berlin) 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 (

Type 1 diabetes mellitus is a chronic disease that requires those affected to self-administer insulin to control their blood glucose level. However, the estimation of the correct insulin dosage is not easy due to the complexity of glucose metabolism, which usually leads to blood glucose levels far from the optimal. This paper presents an adaptive and personalised basal insulin recommender system based on Kalman filter theory that can be used with or without continuous glucose monitoring systems. The proposed approach is tested with the UVa/PADOVA simulator with eleven virtual adult subjects. It has been tested in combination with two different bolus calculators, and the performance achieved has been compared with that obtained with the default basal doses of the simulator, which can be assumed as optimal. The achieved results demonstrate that the proposed system rapidly converges to the optimal basal dose, and it can be used with adaptive bolus calculators without the risk of instability This project has received funding from the grant of the University of Girona 2016-2018 (MPCUdG2016) and the European Union Horizon 2020 research and innovation programme under grant agreement No. 689810, www.pepper.eu.com/, PEPPER