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DOI 10.1080/17425255.2023.2219839

Медицинская библиотека · Expert opinion on drug metabolism & toxicology · 2023

Population pharmacokinetic-pharmacodynamic analysis of givinostat.

Fiorentini Francesco, Germani Massimiliano, Del Bene Francesca, Pellizzoni Cinzia, Cazzaniga Sara, Rocchetti Maurizio, Bettica Paolo

Клиническое исследование II фазыСтатьяПеревод пока не подготовлен

Аннотация

BACKGROUND

Givinostat (ITF2357), an oral, synthetic histone deacetylase inhibitor, significantly improved all histological muscle biopsy parameters in a Phase II study in boys with Duchenne muscular dystrophy (DMD).

RESEARCH DESIGN AND

METHODS

A population pharmacokinetic (PK) model, including seven clinical studies, was developed to explore the effect of covariates on givinostat PK. The final model was qualified to simulate pediatric dosing recommendations. A PK/pharmacodynamic (PD) model was developed to simulate the link between givinostat plasma concentration and platelet time course in 10-70-kg children following 6 months of givinostat 20-70 mg twice daily.

RESULTS

A two-compartment model, with first-order input with lag and first-order elimination from the central compartment, described givinostat PK, demonstrating increasing apparent clearance with increasing body weight. The PK/PD model well-described platelet count time course. Weight-based dosing (arithmetic mean systemic exposure of 554-641 ng·h/mL) produced an average platelet count decrease from baseline of 45% with maximum decrease within 28 days. After 1 week and 6 months, ~1% and ~14-15% of patients, respectively, had a platelet count <75 × 109/L.

CONCLUSIONS

Based on these data, givinostat dosing will be body weight adjusted and include monitoring of platelet counts to support efficacy and safety in a Phase III DMD study.

Для цитирования: Fiorentini Francesco, Germani Massimiliano, Del Bene Francesca, Pellizzoni Cinzia, Cazzaniga Sara, Rocchetti Maurizio, Bettica Paolo. Population pharmacokinetic-pharmacodynamic analysis of givinostat.. Expert opinion on drug metabolism & toxicology. 2023. DOI: 10.1080/17425255.2023.2219839.

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