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Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review
Background: Pharmacokinetic nomograms, equations, and software are considered the main tools available for Therapeutic Drug Monitoring (TDM). Model-informed precision dosing (MIPD) is an advanced discipline of TDM that allows dose individualization, and requires a software for knowledge integration...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386689/ https://www.ncbi.nlm.nih.gov/pubmed/37514045 http://dx.doi.org/10.3390/pharmaceutics15071859 |
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author | Del Valle-Moreno, Paula Suarez-Casillas, Paloma Mejías-Trueba, Marta Ciudad-Gutiérrez, Pablo Guisado-Gil, Ana Belén Gil-Navarro, María Victoria Herrera-Hidalgo, Laura |
author_facet | Del Valle-Moreno, Paula Suarez-Casillas, Paloma Mejías-Trueba, Marta Ciudad-Gutiérrez, Pablo Guisado-Gil, Ana Belén Gil-Navarro, María Victoria Herrera-Hidalgo, Laura |
author_sort | Del Valle-Moreno, Paula |
collection | PubMed |
description | Background: Pharmacokinetic nomograms, equations, and software are considered the main tools available for Therapeutic Drug Monitoring (TDM). Model-informed precision dosing (MIPD) is an advanced discipline of TDM that allows dose individualization, and requires a software for knowledge integration and statistical calculations. Due to its precision and extensive applicability, the use of these software is widespread in clinical practice. However, the currently available evidence on these tools remains scarce. Objectives: To review and summarize the available evidence on MIPD software tools to facilitate its identification, evaluation, and selection by users. Methods: An electronic literature search was conducted in MEDLINE, EMBASE, OpenAIRE, and BASE before July 2022. The PRISMA-ScR was applied. The main inclusion criteria were studies focused on developing software for use in clinical practice, research, or modelling. Results: Twenty-eight software were classified as MIPD software. Ten are currently unavailable. The remaining 18 software were described in depth. It is noteworthy that all MIPD software used Bayesian statistical methods to estimate drug exposure and all provided a population model by default, except NONMEN. Conclusions: Pharmacokinetic software have become relevant tools for TDM. MIPD software have been compared, facilitating its selection for use in clinical practice. However, it would be interesting to standardize the quality and validate the software tools. |
format | Online Article Text |
id | pubmed-10386689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103866892023-07-30 Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review Del Valle-Moreno, Paula Suarez-Casillas, Paloma Mejías-Trueba, Marta Ciudad-Gutiérrez, Pablo Guisado-Gil, Ana Belén Gil-Navarro, María Victoria Herrera-Hidalgo, Laura Pharmaceutics Review Background: Pharmacokinetic nomograms, equations, and software are considered the main tools available for Therapeutic Drug Monitoring (TDM). Model-informed precision dosing (MIPD) is an advanced discipline of TDM that allows dose individualization, and requires a software for knowledge integration and statistical calculations. Due to its precision and extensive applicability, the use of these software is widespread in clinical practice. However, the currently available evidence on these tools remains scarce. Objectives: To review and summarize the available evidence on MIPD software tools to facilitate its identification, evaluation, and selection by users. Methods: An electronic literature search was conducted in MEDLINE, EMBASE, OpenAIRE, and BASE before July 2022. The PRISMA-ScR was applied. The main inclusion criteria were studies focused on developing software for use in clinical practice, research, or modelling. Results: Twenty-eight software were classified as MIPD software. Ten are currently unavailable. The remaining 18 software were described in depth. It is noteworthy that all MIPD software used Bayesian statistical methods to estimate drug exposure and all provided a population model by default, except NONMEN. Conclusions: Pharmacokinetic software have become relevant tools for TDM. MIPD software have been compared, facilitating its selection for use in clinical practice. However, it would be interesting to standardize the quality and validate the software tools. MDPI 2023-07-01 /pmc/articles/PMC10386689/ /pubmed/37514045 http://dx.doi.org/10.3390/pharmaceutics15071859 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 | Review Del Valle-Moreno, Paula Suarez-Casillas, Paloma Mejías-Trueba, Marta Ciudad-Gutiérrez, Pablo Guisado-Gil, Ana Belén Gil-Navarro, María Victoria Herrera-Hidalgo, Laura Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title | Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title_full | Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title_fullStr | Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title_full_unstemmed | Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title_short | Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review |
title_sort | model-informed precision dosing software tools for dosage regimen individualization: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386689/ https://www.ncbi.nlm.nih.gov/pubmed/37514045 http://dx.doi.org/10.3390/pharmaceutics15071859 |
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