Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes

Regular exercise is beneficial and recommended for people with type 1 diabetes, but increased glucose demand and changes in insulin sensitivity require treatment adjustments to prevent exercise-induced hypoglycemia. Several different adjustment strategies based on insulin bolus reductions and additi...

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Main Authors: Julia Deichmann, Sara Bachmann, Marie-Anne Burckhardt, Gabor Szinnai, Hans-Michael Kaltenbach
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.723812/full
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spelling doaj-ba745684db3a45e1bc022e57b6b190492021-08-19T15:22:20ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922021-08-011210.3389/fendo.2021.723812723812Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 DiabetesJulia Deichmann0Julia Deichmann1Sara Bachmann2Marie-Anne Burckhardt3Gabor Szinnai4Hans-Michael Kaltenbach5Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics (SIB), ETH Zurich, Basel, SwitzerlandLife Science Zurich Graduate School, Zurich, SwitzerlandPediatric Endocrinology and Diabetology, University Children’s Hospital Basel, and Department of Clinical Research, University Hospital Basel, University of Basel, Basel, SwitzerlandPediatric Endocrinology and Diabetology, University Children’s Hospital Basel, and Department of Clinical Research, University Hospital Basel, University of Basel, Basel, SwitzerlandPediatric Endocrinology and Diabetology, University Children’s Hospital Basel, and Department of Clinical Research, University Hospital Basel, University of Basel, Basel, SwitzerlandDepartment of Biosystems Science and Engineering and Swiss Institute of Bioinformatics (SIB), ETH Zurich, Basel, SwitzerlandRegular exercise is beneficial and recommended for people with type 1 diabetes, but increased glucose demand and changes in insulin sensitivity require treatment adjustments to prevent exercise-induced hypoglycemia. Several different adjustment strategies based on insulin bolus reductions and additional carbohydrate intake have been proposed, but large inter- and intraindividual variability and studies using different exercise duration, intensity, and timing impede a direct comparison of their effects. In this study, we use a mathematical model of the glucoregulatory system and implement published guidelines and strategies in-silico to provide a direct comparison on a single ‘typical’ person on a standard day with three meals. We augment this day by a broad range of exercise scenarios combining different intensity and duration of the exercise session, and different timing with respect to adjacent meals. We compare the resulting blood glucose trajectories and use summary measures to evaluate the time-in-range and risk scores for hypo- and hyperglycemic events for each simulation scenario, and to determine factors that impede prevention of hypoglycemia events. Our simulations suggest that the considered strategies and guidelines successfully minimize the risk for acute hypoglycemia. At the same time, all adjustments substantially increase the risk of late-onset hypoglycemia compared to no adjustment in many cases. We also find that timing between exercise and meals and additional carbohydrate intake during exercise can lead to non-intuitive behavior due to superposition of meal- and exercise-related glucose dynamics. Increased insulin sensitivity appears as a major driver of non-acute hypoglycemic events. Overall, our results indicate that further treatment adjustment might be required both immediately following exercise and up to several hours later, but that the intricate interplay between different dynamics makes it difficult to provide generic recommendations. However, our simulation scenarios extend substantially beyond the original scope of each model component and proper model validation is warranted before applying our in-silico results in a clinical setting.https://www.frontiersin.org/articles/10.3389/fendo.2021.723812/fulltype 1 diabetesmodelingphysical activityexercisetreatment adjustmentinsulin sensitivity
collection DOAJ
language English
format Article
sources DOAJ
author Julia Deichmann
Julia Deichmann
Sara Bachmann
Marie-Anne Burckhardt
Gabor Szinnai
Hans-Michael Kaltenbach
spellingShingle Julia Deichmann
Julia Deichmann
Sara Bachmann
Marie-Anne Burckhardt
Gabor Szinnai
Hans-Michael Kaltenbach
Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
Frontiers in Endocrinology
type 1 diabetes
modeling
physical activity
exercise
treatment adjustment
insulin sensitivity
author_facet Julia Deichmann
Julia Deichmann
Sara Bachmann
Marie-Anne Burckhardt
Gabor Szinnai
Hans-Michael Kaltenbach
author_sort Julia Deichmann
title Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
title_short Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
title_full Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
title_fullStr Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
title_full_unstemmed Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes
title_sort simulation-based evaluation of treatment adjustment to exercise in type 1 diabetes
publisher Frontiers Media S.A.
series Frontiers in Endocrinology
issn 1664-2392
publishDate 2021-08-01
description Regular exercise is beneficial and recommended for people with type 1 diabetes, but increased glucose demand and changes in insulin sensitivity require treatment adjustments to prevent exercise-induced hypoglycemia. Several different adjustment strategies based on insulin bolus reductions and additional carbohydrate intake have been proposed, but large inter- and intraindividual variability and studies using different exercise duration, intensity, and timing impede a direct comparison of their effects. In this study, we use a mathematical model of the glucoregulatory system and implement published guidelines and strategies in-silico to provide a direct comparison on a single ‘typical’ person on a standard day with three meals. We augment this day by a broad range of exercise scenarios combining different intensity and duration of the exercise session, and different timing with respect to adjacent meals. We compare the resulting blood glucose trajectories and use summary measures to evaluate the time-in-range and risk scores for hypo- and hyperglycemic events for each simulation scenario, and to determine factors that impede prevention of hypoglycemia events. Our simulations suggest that the considered strategies and guidelines successfully minimize the risk for acute hypoglycemia. At the same time, all adjustments substantially increase the risk of late-onset hypoglycemia compared to no adjustment in many cases. We also find that timing between exercise and meals and additional carbohydrate intake during exercise can lead to non-intuitive behavior due to superposition of meal- and exercise-related glucose dynamics. Increased insulin sensitivity appears as a major driver of non-acute hypoglycemic events. Overall, our results indicate that further treatment adjustment might be required both immediately following exercise and up to several hours later, but that the intricate interplay between different dynamics makes it difficult to provide generic recommendations. However, our simulation scenarios extend substantially beyond the original scope of each model component and proper model validation is warranted before applying our in-silico results in a clinical setting.
topic type 1 diabetes
modeling
physical activity
exercise
treatment adjustment
insulin sensitivity
url https://www.frontiersin.org/articles/10.3389/fendo.2021.723812/full
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