Perampanel is a promising epilepsy treatment with an innovative mechanism of action. This study was performed to investigate the factors affecting perampanel clearance in a population pharmacokinetic (PPK) model of Chinese pediatric and adult patients with epilepsy. A total of 135 perampanel plasma concentrations from 125 patients with epilepsy were analyzed using the PPK model with nonlinear mixed-effects modeling. One-compartment and proportional residual models best described the pharmacokinetics of perampanel. Covariate effects on the model parameters were assessed using forward and backward elimination. Goodness-of-fit, bootstrapping, visual predictive checks, and normalized prediction distribution errors were used to evaluate the model. Monte Carlo simulations were conducted to assess the impact of covariate combinations on perampanel plasma concentrations at different dosages. In the final PPK model, body weight (BW), concomitant carbamazepine (CBZ), oxcarbazepine (OXC), and C-reactive protein (CRP) levels significantly influenced perampanel clearance. The interindividual clearance was calculated as follows: 0.84 × (BW/70)0.53 × eCBZ × eOXC × eCRP (CBZ = 0.98, when comedicated with carbamazepine; OXC = 0.43, when comedicated with oxcarbazepine; CRP = -0.69, when CRP >15 mg/L, otherwise = 0). The estimates (relative standard error) for clearance and apparent volume of distribution of the final model were 0.84 L/h (8.75%) and 64.35 L (19.78%), respectively. The model maintained its stability and effectiveness with moderate predictability. BW and CBZ, OXC, and CRP levels may influence perampanel clearance in both pediatric and adult patients with epilepsy according to a population pharmacokinetic model that included real-world data.
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