Towards patient-specific carbohydrate counting accuracy: An in silico study

Type 1 diabetes mellitus patients on intensive insulin therapy use advanced carbohydrate counting to proper dose prandial insulin. Therefore, the patient’s ability to accurately estimate the meal’s carbohydrate content is paramount. However, despite its significance, several studies show that the pa...

Full description

Saved in:
Bibliographic Details
Main Authors: Abreu, Carlos, Miranda, Francisco, Felgueiras, Paula
Format: Conference Proceeding
Language:English
Subjects:
Carbohydrates
Colleges & universities
Diabetes
Diabetes mellitus
Insulin
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Type 1 diabetes mellitus patients on intensive insulin therapy use advanced carbohydrate counting to proper dose prandial insulin. Therefore, the patient’s ability to accurately estimate the meal’s carbohydrate content is paramount. However, despite its significance, several studies show that the patient’s ability to estimates the meal’s carbohydrate content is far from ideal and identify the need for continuous education on carbohydrate counting. In this context, the authors have proposed in previous works an analytic method to determine the maximum error to the carbohydrate counting regarding each patient’s insulin-to-carb ratio and the insulin sensitivity factor. This maximum can be of great significance to design patient-specific educational programs and to define learning outcomes according to the specific characteristics of each patient. This work presents a methodology and conditions to assess the previously proposed method, using the FDA-approved University of Virginia(UVA)/Padova Type 1 Diabetes Simulator.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0081330