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Application of dynamic optimisation for planning a haemodialysis process
BACKGROUND: The aim of the study is to show that optimization tools can be used in planning the haemodialysis process in order to obtain the most effective treatment aimed at removing both urea and phosphorus. To this end we use the IV–compartment model of phosphorus kinetics. METHODS: The use of th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604306/ https://www.ncbi.nlm.nih.gov/pubmed/31266483 http://dx.doi.org/10.1186/s12882-019-1409-8 |
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author | Stecz, Wojciech Pytlak, Radoslaw Rymarz, Aleksandra Niemczyk, Stanislaw |
author_facet | Stecz, Wojciech Pytlak, Radoslaw Rymarz, Aleksandra Niemczyk, Stanislaw |
author_sort | Stecz, Wojciech |
collection | PubMed |
description | BACKGROUND: The aim of the study is to show that optimization tools can be used in planning the haemodialysis process in order to obtain the most effective treatment aimed at removing both urea and phosphorus. To this end we use the IV–compartment model of phosphorus kinetics. METHODS: The use of the IV–compartment model of phosphorus kinetics forces us to apply new numerical tools which cope with a rebound phenomenon that can occur during haemodialysis. The proposed algorithm solves optimization problems with various constraints imposed on concentrations of urea and phosphorus. RESULTS: We show that the optimization tools are effective in planning haemodialysis processes aimed at achieving desired levels of urea and phosphorus concentrations at the end of these processes. One of the numerical experiments reported in the paper concerns patients data who experienced a rebound phenomenon during haemodialysis due to a low level of phosphorus concentration. CONCLUSION: In order to plan haemodialysis processes one should take into account the fact that these processes, in general, are described by different equations in different regions determined by phosphorus concentrations. This follows from the fact that mechanisms modelled by IV–compartment model are activated during dialysis. Therefore, advanced numerical tools have to be used in order to simulate and optimize these processes. The paper shows that these tools can be constructed and effectively applied in planning haemodialysis processes. |
format | Online Article Text |
id | pubmed-6604306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66043062019-07-12 Application of dynamic optimisation for planning a haemodialysis process Stecz, Wojciech Pytlak, Radoslaw Rymarz, Aleksandra Niemczyk, Stanislaw BMC Nephrol Research Article BACKGROUND: The aim of the study is to show that optimization tools can be used in planning the haemodialysis process in order to obtain the most effective treatment aimed at removing both urea and phosphorus. To this end we use the IV–compartment model of phosphorus kinetics. METHODS: The use of the IV–compartment model of phosphorus kinetics forces us to apply new numerical tools which cope with a rebound phenomenon that can occur during haemodialysis. The proposed algorithm solves optimization problems with various constraints imposed on concentrations of urea and phosphorus. RESULTS: We show that the optimization tools are effective in planning haemodialysis processes aimed at achieving desired levels of urea and phosphorus concentrations at the end of these processes. One of the numerical experiments reported in the paper concerns patients data who experienced a rebound phenomenon during haemodialysis due to a low level of phosphorus concentration. CONCLUSION: In order to plan haemodialysis processes one should take into account the fact that these processes, in general, are described by different equations in different regions determined by phosphorus concentrations. This follows from the fact that mechanisms modelled by IV–compartment model are activated during dialysis. Therefore, advanced numerical tools have to be used in order to simulate and optimize these processes. The paper shows that these tools can be constructed and effectively applied in planning haemodialysis processes. BioMed Central 2019-07-02 /pmc/articles/PMC6604306/ /pubmed/31266483 http://dx.doi.org/10.1186/s12882-019-1409-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Stecz, Wojciech Pytlak, Radoslaw Rymarz, Aleksandra Niemczyk, Stanislaw Application of dynamic optimisation for planning a haemodialysis process |
title | Application of dynamic optimisation for planning a haemodialysis process |
title_full | Application of dynamic optimisation for planning a haemodialysis process |
title_fullStr | Application of dynamic optimisation for planning a haemodialysis process |
title_full_unstemmed | Application of dynamic optimisation for planning a haemodialysis process |
title_short | Application of dynamic optimisation for planning a haemodialysis process |
title_sort | application of dynamic optimisation for planning a haemodialysis process |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604306/ https://www.ncbi.nlm.nih.gov/pubmed/31266483 http://dx.doi.org/10.1186/s12882-019-1409-8 |
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