摘要
目的估算一级并行米氏消除药物静脉注射给药的药动学参数。方法利用四阶Runge-Kutta算法得到血药浓度的模拟数据,对模拟取样点的药-时数据进行转化,以?C/?t近似地代替微分式dC/dt,血药浓度C采用调和均数CiCi+1或算术均数(Ci+Ci+1)/2;采用SPSS软件中的非线性回归(nonlinear regression)对?C/?t调和均数(或算术均数)数据对拟合一级并行米氏消除药物静脉注射给药的药动学参数。结果SPSS估算的药动学参数准确可靠。结论SPSS可以用于估算一级并行米氏消除药物静脉注射给药的药动学参数。
Objective To estimate the pharmacokinetic parameters of drug obeying parallel one order and Michaelis-Menten elimination with bolus intravenous administration. Methods Concentration-time data from the simulation by four order Runge-Kutta algorism were converted into △ C/△t. The differential dC/dt was replaced by △ C/△t, and concentration C was replaced by harmonious √CiCi+1 or arithmetic mean( Ci + Ci+1 )/2. △C/A t with √CiCi+1 or ( Ci + Ci+1 )/2 data were fitted by nonlinear regression in SPSS software. Results The pharmacokinetic parameters obtained from SPSS were exact and reliable. Conclusion SPSS is suitable for estimating the pharmacokinetic parameters of drug obeying parallel one order and Michaelis-Menten elimination with bolus intravenous administration.
出处
《医药导报》
CAS
2007年第1期78-80,共3页
Herald of Medicine
基金
温州市科技局社会发展基金资助项目(基金编号:Y2003A075)
关键词
非线性回归
SPSS
药动学参数
米氏消除
静脉给药
Nonlinear regression
SPSS
Pharmacokinetic parameters
Michaelis-Menten elimination
Bolus intravenou sadministration