Summary
Background
The use of www.guidetopharmacology.org/GRAC/ObjectDisplayForward?objectId=2607 prophylaxis in haemophilia A is considered the standard of care, particularly in children. Despite adjustment of doses for body weight and/or age, a large pharmacokinetic (PK) variability between patients has been observed. PK‐tailored prophylaxis may help clinicians adjust coagulation factor FVIII activity (FVIII:C) to the desired level, which may differ in individual patients.
Objectives
To develop a population PK model for simoctocog alfa based on pooled clinical trial data and to develop a Bayesian estimator to allow PK parameters in individual patients to be estimated using a reduced number of blood samples.
Patients/Methods
PK data from 86 adults and 29 children/adolescents with severe haemophilia A were analyzed. The Factor VIII data measured using two different assays (chromogenic and the one‐stage clotting assay) were fit to separate develop population PK models using nonlinear mixed‐effect models. A Bayesian estimator was then developed to estimate the time above the threshold of 1%.
Results
The PK data for chromogenic and the one‐stage clotting assays were both best described by a 2‐compartment models. Simulations demonstrated good predictive capacity. The limited sampling strategy using blood sample at 3 and 24 h allowed an accurate estimation of the time above the threshold of 1% FVIII:C (mean bias 0.01 and 0.11, mean precision 0.18 and 0.45 for two assay methods).
Conclusion
In this study, we demonstrated that a Bayesian approach can help to reduce the number of samples required to estimate the time above the threshold of 1% FVIII:C with good accuracy.
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