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In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors

For patients with Type 1 diabetes mellitus (T1DM), accurate carbohydrate counting (CC) is essential for successful blood glucose regulation. Unfortunately, mistakes are common and may lead to an incorrect dosage of prandial insulin. In this work, we aim to demonstrate that each person has their own...

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Autores principales: Amorim, Débora, Miranda, Francisco, Abreu, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574758/
https://www.ncbi.nlm.nih.gov/pubmed/37836392
http://dx.doi.org/10.3390/nu15194110
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author Amorim, Débora
Miranda, Francisco
Abreu, Carlos
author_facet Amorim, Débora
Miranda, Francisco
Abreu, Carlos
author_sort Amorim, Débora
collection PubMed
description For patients with Type 1 diabetes mellitus (T1DM), accurate carbohydrate counting (CC) is essential for successful blood glucose regulation. Unfortunately, mistakes are common and may lead to an incorrect dosage of prandial insulin. In this work, we aim to demonstrate that each person has their own limits for CC errors, which can be computed using patient-specific data. To validate the proposed method, we tested it using several scenarios to investigate the effect of different CC errors on postprandial blood glucose. Virtual subjects from the T1DM Simulator were used in a clinical trial involving 450 meals over 90 days, all following the same daily meal plan but with different intervals for CC errors near, below, and above the limit computed for each patient. The results show that CC errors within personalized limits led to acceptable postprandial glycemic fluctuations. In contrast, experiments where 50% and 97.5% of the meals present a CC error outside the computed safe interval revealed a pronounced degradation of the time in range. Given these results, we consider the proposed method for obtaining personalized limits for CC errors an excellent starting point for an initial assessment of patients’ capabilities in CC and to provide appropriate ongoing education.
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spelling pubmed-105747582023-10-14 In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors Amorim, Débora Miranda, Francisco Abreu, Carlos Nutrients Article For patients with Type 1 diabetes mellitus (T1DM), accurate carbohydrate counting (CC) is essential for successful blood glucose regulation. Unfortunately, mistakes are common and may lead to an incorrect dosage of prandial insulin. In this work, we aim to demonstrate that each person has their own limits for CC errors, which can be computed using patient-specific data. To validate the proposed method, we tested it using several scenarios to investigate the effect of different CC errors on postprandial blood glucose. Virtual subjects from the T1DM Simulator were used in a clinical trial involving 450 meals over 90 days, all following the same daily meal plan but with different intervals for CC errors near, below, and above the limit computed for each patient. The results show that CC errors within personalized limits led to acceptable postprandial glycemic fluctuations. In contrast, experiments where 50% and 97.5% of the meals present a CC error outside the computed safe interval revealed a pronounced degradation of the time in range. Given these results, we consider the proposed method for obtaining personalized limits for CC errors an excellent starting point for an initial assessment of patients’ capabilities in CC and to provide appropriate ongoing education. MDPI 2023-09-22 /pmc/articles/PMC10574758/ /pubmed/37836392 http://dx.doi.org/10.3390/nu15194110 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Amorim, Débora
Miranda, Francisco
Abreu, Carlos
In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title_full In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title_fullStr In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title_full_unstemmed In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title_short In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors
title_sort in silico validation of personalized safe intervals for carbohydrate counting errors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574758/
https://www.ncbi.nlm.nih.gov/pubmed/37836392
http://dx.doi.org/10.3390/nu15194110
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