Abstract: AIM: To analyze the effect of influential factors on the estimation of pharmacokinetic parameters of teicoplanin, this study was proposed to develop the population pharmacokinetic (PPK) model of teicoplanin in patients with renal insufficiency.  METHODS: A total of 66 routine blood teicoplanin concentration monitoring data were collected from 46 cases with renal insufficiency, and a nonlinear mixed effect modeling program was used to establish one-compartment model with Monolix 2021R1 software. Furthermore, 20 routine blood teicoplanin concentration monitoring data were also collected from the other 20 cases with renal insufficiency, and the external validation of the model was performed by goodness-of-fit parameter method. RESULTS: The one compartment model was an appropriate model for simulating the pharmacokinetics of teicoplanin in patients with renal insufficiency. The typical values of apparent volume of distribution and clearance rate were 148.9 L and 0.13 L/h, respectively. Glomerular filtration rate and body weight, instead of other factors, were the primary variables that affected the elimination of teicoplanin in vivo. CONCLUSION: The population pharmacokinetic model of teicoplanin established in the present study was effective and stable, which could also predict the dynamic change of teicoplanin concentration. As a result, the population pharmacokinetic model could provide references for the rational use of teicoplanin in special populations.

Key words: teicoplanin, renal insufficiency, population pharmacokinetic, individualized medication