In-silico clinical trials (ISCTs) have been widely used in the last years to accelerate research in Type 1 diabetes (T1D) management. Numerous simulation tools have been proposed in the literature to model the physiological response of T1D patients to meal and insulin inputs, but most of them fail in realistically describing the behavioural and lifestyle factors affecting glucose control. This calls for new investigations, like those carried out in this paper where we develop and validate new models describing the meal variability of T1D patients in terms of carbohydrates amount and timing of the three main meals (breakfast, lunch, dinner) and the snacks. For this purpose, we use a dataset collected in 32 patients with T1D, monitored for up to 6 months under free-living conditions. The developed models will be incorporated in a popular T1D simulator to allow more realistic ISCTs.
Modelling the Meal Variability of Individuals with Type 1 Diabetes under Free-Living Conditions
Vettoretti M.;Del Favero S.;Facchinetti A.;Di Nunzio G. M.;Sparacino G.
2020
Abstract
In-silico clinical trials (ISCTs) have been widely used in the last years to accelerate research in Type 1 diabetes (T1D) management. Numerous simulation tools have been proposed in the literature to model the physiological response of T1D patients to meal and insulin inputs, but most of them fail in realistically describing the behavioural and lifestyle factors affecting glucose control. This calls for new investigations, like those carried out in this paper where we develop and validate new models describing the meal variability of T1D patients in terms of carbohydrates amount and timing of the three main meals (breakfast, lunch, dinner) and the snacks. For this purpose, we use a dataset collected in 32 patients with T1D, monitored for up to 6 months under free-living conditions. The developed models will be incorporated in a popular T1D simulator to allow more realistic ISCTs.Pubblicazioni consigliate
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