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Population Pharmacokinetic-B Cell Modeling for Ofatumumab in Patients with Relapsing Multiple Sclerosis.
- Source :
-
CNS drugs [CNS Drugs] 2022 Mar; Vol. 36 (3), pp. 283-300. Date of Electronic Publication: 2022 Mar 01. - Publication Year :
- 2022
-
Abstract
- Background: Ofatumumab, a fully human anti-CD20 monoclonal antibody indicated for the treatment of relapsing forms of multiple sclerosis (RMS), binds to a unique conformational epitope, thereby depleting B cells very efficiently and allowing subcutaneous administration at lower doses.<br />Objectives: The aims were to characterize the relationship between ofatumumab concentration and B cell levels, including the effect of covariates such as body weight, age, or baseline B cell count, and use simulations to confirm the chosen therapeutic dose.<br />Methods: Graphical and regression analyses previously performed based on data from a dose-range finding study provided the B cell depletion target used in the present work. All available adult phase 2/3 data for ofatumumab in RMS patients were pooled to develop a population pharmacokinetics (PK)-B cell count model, using nonlinear mixed-effects modeling. The population PK-B cell model was used to simulate B cell depletion and repletion times and the effect of covariates on PK and B cell metrics, as well as the dose response across a range of subcutaneous ofatumumab monthly doses.<br />Results: The final PK-B cell model was developed using data from 1486 patients. The predetermined B cell target was best achieved and sustained with the 20-mg dose regimen, with median B cell count reaching 8 cells/µL in 11 days and negligible repletion between doses. Only weight had a significant effect on PK, which did not translate into any clinically relevant effect on B cell levels.<br />Conclusion: The PK-B cell modeling confirms the dose chosen for the licensed ofatumumab regimen and demonstrates no requirement for dose adjustment based on adult patient characteristics.<br /> (© 2022. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1179-1934
- Volume :
- 36
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- CNS drugs
- Publication Type :
- Academic Journal
- Accession number :
- 35233753
- Full Text :
- https://doi.org/10.1007/s40263-021-00895-w