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目的 用Bayesian反馈法估算头孢拉定在体外循环术后患儿的药代动力学参数。方法 采用HPLC测定头孢拉定血药浓度。选择不同取样时间的 1个血药浓度作为反馈 ,用Bayesian法估算个体药代动力学参数 ,并与经典药代动力学方法估算的结果比较。结果 二步法估算个群体药代动力学参数为 :t1/ 2α(17.9± 6 .3)min ,t1/ 2 β(184.6± 10 0 .8)min ,Vc (0 .2 4± 0 .15 )L·kg-1,Vd(1.0 9± 0 .5 7)L·kg-1,CL(2 48.3± 5 5 .4)ml·h-1·kg-1。用 1个血药浓度反馈估算的药代动力学参数与经典药代动力学方法估算结果之间的差异无显著性。结论 用Bayesian反馈法估算个体药代动力学参数及预测血药浓度 ,可满足临床优化个体化给药方案的需要。
Objective To estimate the pharmacokinetic parameters of cephradine in children after cardiopulmonary bypass by Bayesian feedback method. Methods The cefradine concentration was determined by HPLC. One plasma concentration at different sampling times was chosen as feedback, and individual pharmacokinetic parameters were estimated by Bayesian method and compared with the results of classical pharmacokinetic method. Results Two-step method was used to estimate the pharmacokinetic parameters of each group: t1 / 2α (17.9 ± 6.3) min, t1 / 2β (184.6 ± 10 0.8) min, Vc (0.24 ± 0.15 ) L · kg-1, Vd (1.09 ± 0.57) L · kg-1, CL (2 48.3 ± 5 5 .4) ml · h-1 · kg-1. There was no significant difference between the pharmacokinetic parameters estimated by one plasma concentration feedback and the estimated results by the classical pharmacokinetic method. Conclusion Using Bayesian feedback method to estimate individual pharmacokinetic parameters and predict blood drug concentration can meet the need of clinical optimization of individualized dosing regimen.