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Title: A new population pharmacokinetic model for recombinant factor IX-Fc fusion concentrate including young children with haemophilia B. Author: Koopman SF, Goedhart TMHJ, Bukkems LH, Mulders TM, Leebeek FWG, Fijnvandraat K, Coppens M, Mathias M, Collins PW, Tait RC, Bagot CN, Curry N, Payne J, Chowdary P, Cnossen MH, Mathôt RAA, OPTI-CLOT study group and SYMPHONY consortium. Journal: Br J Clin Pharmacol; 2024 Jan; 90(1):220-231. PubMed ID: 37567779. Abstract: AIMS: Recombinant 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 ≥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. METHODS: We 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. RESULTS: Real-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). CONCLUSIONS: The 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.[Abstract] [Full Text] [Related] [New Search]