ArticlePharmaceutics2024
Model-Informed Precision Dosing for Personalized Ustekinumab Treatment in Plaque Psoriasis.
Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Pharmacokinetic-pharmacodynamic modelling of risankizumab using chronic plaque psoriasis real-world data.British journal of clinical pharmacology · 2026Article
- Personalized Secukinumab Treatment in Patients with Plaque Psoriasis Using Model-Informed Precision Dosing.Pharmaceutics · 2024Article
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Authors and funding
9 authors.
Funding
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Abstract
BACKGROUND/
objectivesImplementing model-informed precision dosing (MIPD) strategies guided by population pharmacokinetic/pharmacodynamic (PK/PD) models could enhance the management of inflammatory diseases such as psoriasis. However, the extent of individual experimental data gathered during MIPD significantly influences the uncertainty in estimating individual PK/PD parameters, affecting clinical dose selection decisions.
methodsThis study proposes a methodology to individualize ustekinumab (UTK) dosing strategies for 23 Spanish patients with moderate to severe chronic plaque psoriasis., considering the uncertainty of individual parameters within a population PK/PD model.
resultsAn indirect response model from previous research was used to describe the PK/PD relationship between UTK serum concentrations and the Psoriasis Area and Severity Index (PASI) score. A maximum inhibition drug effect (I
conclusionsThe MIPD approach predicted that 35% and 26% of the patients would need an optimized and intensified dosage regimen, respectively, compared to the regimen typically used in clinical practice. This analysis demonstrated its utility as a tool for selecting personalized UTK dosing regimens in clinical practice in order to optimize the probability of achieving targeted clinical outcomes in patients with psoriasis.
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