Open AccessPrediction of steady-state plasma concentrations of olanzapine in Chinese Han in patients based on a retrospective population pharmacokinetic model
Author(s) -
Xiaoyue Wang,
Yong Han,
Hong Zhou,
Bin Cao,
Miaomiao Zhu,
Chunfang Liu,
Chao Gao,
Howard L. McLeod,
Maosheng Fang
Publication year - 2021
Publication title -
tropical journal of pharmaceutical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.209
H-Index - 36
eISSN - 1596-5996
pISSN - 1596-9827
DOI - 10.4314/tjpr.v20i11.28
Subject(s) - olanzapine , pharmacokinetics , medicine , population , antipsychotic , atypical antipsychotic , body mass index , volume of distribution , retrospective cohort study , plasma concentration , pharmacology , schizophrenia (object oriented programming) , psychiatry , environmental health
Purpose: To develop robust methods of establishing a population pharmacokinetics (Pop-PK) model of olanzapine, using existing hospital in-patient information, in order to predict the steady-state plasma concentration of olanzapine tablets in Chinese Han inpatients, thus providing guidance for individualized therapy for mental disorders.Methods: A retrospective study analyzing and predicting the steady-state plasma olanzapineconcentration was performed using nonlinear mixed-effect modeling (Phoenix® NLME8). The effects of ten potential covariates, including age, gender, Body Mass Index, fasting lipid, family history, alcohol and smoking status in 107 Chinese Han patients with steady-state plasma olanzapine concentration were collected from the hospital information system (HIS) in Wuhan Mental Health Center from Feb 2017 to Jul 2019.Results: The final model was validated using bootstrap and visual predictive check (VPC) and was found to fit the one-compartment mixed error model. Smoking status was found to be the only factor affecting olanzapine tablets clearance. The standard Pop-PK parameters apparent volume of distribution (VL/F) and clearance (CL/F) were 223 L and 12.4 Lh-1, respectively.Conclusion: The Pop-PK model for olanzapine established with the data from HIS is effective inpredicting the plasma olanzapine tablets concentration of individual Chinese in-patients. This Pop-PK model approach can now be adapted to optimize other antipsychotic drugs.