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Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
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Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
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Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
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Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy
Journal Article

Population pharmacokinetics modeling of evetiracetam in Chinese children with epilepsy

2012
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Overview
Aim: To establish a population pharmacokinetics (PPK) model of levetiracetam in Chinese children with epilepsy. Methods: A total of 418 samples from 361 epileptic children in Peking University First Hospital were analyzed. These patients were divided into two groups: the PPK model group (n=311) and the PPK validation group (n=50). Levetiracetam concentrations were determined by HPLC. The PPK model of levetiracetam was established using NONMEM, according to a one-compartment model with firstorder absorption and elimination. To validate the model, the mean prediction error (MPE), mean squared prediction error (MSPE), root mean-squared prediction error (RMSPE), weight residues (WRES), and the 95% confidence intervals (95% CI) were calculated. Results: A regression equation of the basic model of levetiracetam was obtained, with clearance (CL/F)=O.988 L/h, volume of distribution (V/F)=12.3 L, and Ka=1.95 h-1. The final model was as follows: Ka=1.56 h-1, V/F=12.1 (L), CL/F=1.04x(WEIG/25)63 (L/h). For the basic model, the MPE, MSPE, RMSPE, WRES, and the 95%Cl were 9.834 (-0.587-197.720), 50.919 (0.012-1286.429), 1.680 (0.021-34.184), and 0.0621 (-1.100-1.980). For the final model, the MPE, MSPE, RMSPE, WRES, and the 95% Cl were 0.199 (-0.369-0.563), 0.002082 (0.00001-0.01054), 0.0293 (0.001-0.110), and 0.153 (-0.030-1.950). Conclusion: A one-compartment model with firstrder absorption adequately described the levetiracetam concentrations. Body weight was identified as a significant covariate for levetiracetam clearance in this study. This model will be valuable to facilitate individualized dosage regimens.

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