Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review

Bibliographic Details
Title: Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review
Authors: Paula Del Valle-Moreno, Paloma Suarez-Casillas, Marta Mejías-Trueba, Pablo Ciudad-Gutiérrez, Ana Belén Guisado-Gil, María Victoria Gil-Navarro, Laura Herrera-Hidalgo
Source: Pharmaceutics, Vol 15, Iss 7, p 1859 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Pharmacy and materia medica
Subject Terms: model-informed precision dosing, software tool, therapeutic drug monitoring, Pharmacy and materia medica, RS1-441
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1999-4923
Relation: https://www.mdpi.com/1999-4923/15/7/1859; https://doaj.org/toc/1999-4923
DOI: 10.3390/pharmaceutics15071859
Access URL: https://doaj.org/article/16cb3ec11e2a46bc8985c95d24692d9c
Accession Number: edsdoj.16cb3ec11e2a46bc8985c95d24692d9c
Database: Directory of Open Access Journals
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More Details
ISSN:19994923
DOI:10.3390/pharmaceutics15071859
Published in:Pharmaceutics
Language:English