publication . Article . 2020

Modeling Carbohydrate Counting Error in Type 1 Diabetes Management

Roversi, C.; Vettoretti, M.; Del Favero, S.; Facchinetti, A.; Sparacino, G.; on behalf of the Hypo-RESOLVE Consortium,;
Open Access English
  • Published: 01 Oct 2020 Journal: Diabetes Technology & Therapeutics, volume 22, issue 10, pages 749-759 (issn: 1520-9156, eissn: 1557-8593, Copyright policy)
  • Country: Italy
Background: The error in estimating meal carbohydrates (CHO) amount is a critical mistake committed by type 1 diabetes (T1D) subjects. The aim of this study is both to investigate which factors, related to meals and subjects, affect the CHO counting error most and to develop a mathematical model of CHO counting error embeddable in T1D patient decision simulators to conduct in silico clinical trials. Methods: A published dataset of 50 T1D adults is used, which includes a patient's CHO count of 692 meals, dietitian's estimates of meal composition (used as reference), and several potential explanatory factors. The CHO counting error is modeled by multiple linear re...
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Medical Subject Headings: endocrine systemdigestive, oral, and skin physiology
free text keywords: Medical Laboratory Technology, Endocrinology, Endocrinology, Diabetes and Metabolism, type 1 diabetes, insulin therapy, carbohydrates, carbohydrates counting error, mathematical modeling, simulation, Carbohydrate counting error; Carbohydrates; Insulin therapy; Mathematical modeling; Simulation; Type 1 diabetes, Original Articles, Type 1 diabetes, Insulin therapy, Carbohydrates, Carbohydrate counting error, Mathematical modeling, Simulation, Type 1 diabetes, medicine.disease, medicine, Meal, MEDLINE, Diabetes mellitus, Internal medicine, medicine.medical_specialty, business.industry, business, Mistake, Carbohydrate counting
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Funded by
Hypoglycaemia - REdefining SOLutions for better liVEs
  • Funder: European Commission (EC)
  • Project Code: 777460
  • Funding stream: H2020 | IMI2-RIA
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