Population Pharmacokinetics of Teicoplanin in Septic Patients from Intensive Care Unit
10.13471/j.cnki.j.sun.yat-sen.univ（med.sci）.2022.0616
- VernacularTitle:重症监护病房脓毒症患者替考拉宁的群体药代动力学研究
- Author:
Zhi-jie HE
1
;
Yao-wei ZHI
2
;
Yan-pin GUAN
3
;
Fang-yi LI
2
;
Zi-jun ZOU
2
;
Qiang BAO
2
;
Xiao-xia YU
3
Author Information
1. Guangzhou Xinhua University， Guangzhou 510520， China
2. Department of Critical Care Medicine， Sun Yat-sen Memorial Hospital， Sun Yat-sen University，Guangzhou 510120， China
3. Department of Pharmacy， Sun Yat-sen Memorial Hospital， Sun Yat-sen University， Guangzhou 510120， China
- Publication Type:Journal Article
- Keywords:
teicoplanin;
intensive care unit （ICU）;
sepsis;
population pharmacokinetics;
two-compartment model
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2022;43(6):1005-1011
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo establish a population pharmacokinetic （PPK） model of teicoplanin in septic patients from Intensive Care Unit （ICU） and to explore its pharmacokinetic characteristics and related covariates. MethodsThe study included 66 septic patients hospitalized in the department of critical care medicine from November 2017 to February 2020. After intravenous dosing of teicoplanin in septic patients， the trough concentration of teicoplanin was determined by high performance liquid chromatography （HPLC） and the concentration-time data was analyzed by non-linear mixed effect model. The pharmacokinetic parameters and residual errors were evaluated. The influence of covariates on model parameters was tested by forward addition and backward elimination. The predictive performance of the final model was assessed by internal validation. ResultsA two-compartment model best described the teicoplanin concentration-time data. The PPK parameter estimates were central clearance of 0.45 L/min， peripheral clearance of 0.72 L/min， central volume of distribution of 39.74 L and peripheral volume of distribution of 152.41 L. Creatinine， total protein， and lactate were found to significantly affect central clearance of teicoplanin （P<0.05）. ConclusionThe two-compartment PPK model of teicoplanin established in this study could be used for individualized treatment in septic patients from ICU due to its good stability and high predictive accuracy.
