Model-Informed Precision Dosing for Personalized Ustekinumab Treatment in Plaque Psoriasis

Implementing 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 influence...

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Veröffentlicht in:Pharmaceutics 2024-10, Vol.16 (10), p.1295
Hauptverfasser: Rodríguez-Fernández, Karine, Zarzoso-Foj, Javier, Saez-Bello, Marina, Mateu-Puchades, Almudena, Martorell-Calatayud, Antonio, Merino-Sanjuan, Matilde, Gras-Colomer, Elena, Climente-Martí, Monica, Mangas-Sanjuan, Victor
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Sprache:eng
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Zusammenfassung:Implementing 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. This 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. An 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 ) model was selected, and a first-order remission constant rate of psoriatic skin lesion (k = 0.016 d ) was estimated. The 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.
ISSN:1999-4923
1999-4923
DOI:10.3390/pharmaceutics16101295