In silico evaluation of pramlintide dosing algorithms in artificial pancreas systems

Fuente: arXiv
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Autori principali: Torres, Borja Pons, Mira, Iván Sala, Furió-Novejarque, Clara, Sanz, Ricardo, García, Pedro, Díez, José-Luis, Bondia, Jorge
Natura: Preprint
Pubblicazione: 2025
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author Torres, Borja Pons
Mira, Iván Sala
Furió-Novejarque, Clara
Sanz, Ricardo
García, Pedro
Díez, José-Luis
Bondia, Jorge
author_facet Torres, Borja Pons
Mira, Iván Sala
Furió-Novejarque, Clara
Sanz, Ricardo
García, Pedro
Díez, José-Luis
Bondia, Jorge
contents Pramlintide's capability to delay gastric emptying has motivated its use in artificial pancreas systems, accompanying insulin as a control action. Due to the scarcity of pramlintide simulation models in the literature, in silico testing of insulin-plus-pramlintide strategies is not widely used. This work incorporates a recent pramlintide pharmacokinetics/pharmacodynamics model into the T1DM UVA/Padova simulator to adjust and validate four insulin-plus-pramlintide control algorithms. The proposals are based on an existing insulin controller and administer pramlintide either as independent boluses or as a ratio of the insulin infusion. The results of the insulin-pramlintide algorithms are compared against their insulin-alone counterparts, showing an improvement in the time in range between 3.00\% and 10.53\%, consistent with results reported in clinical trials in the literature. Future work will focus on individualizing the pramlintide model to the patients' characteristics and evaluating the implemented strategies under more challenging scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2506_17790
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle In silico evaluation of pramlintide dosing algorithms in artificial pancreas systems
Torres, Borja Pons
Mira, Iván Sala
Furió-Novejarque, Clara
Sanz, Ricardo
García, Pedro
Díez, José-Luis
Bondia, Jorge
Systems and Control
Pramlintide's capability to delay gastric emptying has motivated its use in artificial pancreas systems, accompanying insulin as a control action. Due to the scarcity of pramlintide simulation models in the literature, in silico testing of insulin-plus-pramlintide strategies is not widely used. This work incorporates a recent pramlintide pharmacokinetics/pharmacodynamics model into the T1DM UVA/Padova simulator to adjust and validate four insulin-plus-pramlintide control algorithms. The proposals are based on an existing insulin controller and administer pramlintide either as independent boluses or as a ratio of the insulin infusion. The results of the insulin-pramlintide algorithms are compared against their insulin-alone counterparts, showing an improvement in the time in range between 3.00\% and 10.53\%, consistent with results reported in clinical trials in the literature. Future work will focus on individualizing the pramlintide model to the patients' characteristics and evaluating the implemented strategies under more challenging scenarios.
title In silico evaluation of pramlintide dosing algorithms in artificial pancreas systems
topic Systems and Control
url https://arxiv.org/abs/2506.17790