期刊
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
卷 -, 期 -, 页码 -出版社
WILEY
DOI: 10.1111/bcp.15881
关键词
extended half-life; factor IX; haemophilia B; pharmacokinetics
This study evaluated the predictive performance of a population pharmacokinetic (PK) model for a recombinant factor IX Fc fusion protein (rFIX-Fc) and developed a new model using real-world data. The published model significantly underpredicted FIX activity levels, while the new model better described rFIX-Fc PK, especially for children aged <12 years.
AimsRecombinant factor IX Fc fusion protein (rFIX-Fc) is an extended half-life factor concentrate administered to haemophilia B patients. So far, a population pharmacokinetic (PK) model has only been published for patients aged & GE;12 years. The aim was to externally evaluate the predictive performance of the published rFIX-Fc population PK model for patients of all ages and develop a model that describes rFIX-Fc PK using real-world data.MethodsWe collected prospective and retrospective data from patients with haemophilia B treated with rFIX-Fc and included in the OPTI-CLOT TARGET study (NTR7523) or United Kindom (UK)-EHL Outcomes Registry (NCT02938156). Predictive performance was assessed by comparing predicted with observed FIX activity levels. A new population PK model was constructed using nonlinear mixed-effects modelling.ResultsReal-world data were obtained from 37 patients (median age: 16 years, range 2-71) of whom 14 were aged <12 years. Observed FIX activity levels were significantly higher than levels predicted using the published model, with a median prediction error of -48.8%. The new model showed a lower median prediction error (3.4%) and better described rFIX-Fc PK, especially for children aged <12 years. In the new model, an increase in age was correlated with a decrease in clearance (P < .01).ConclusionsThe published population PK model significantly underpredicted FIX activity levels. The new model better describes rFIX-Fc PK, especially for children aged <12 years. This study underlines the necessity to strive for representative population PK models, thereby avoiding extrapolation outside the studied population.
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