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为应用Bayes反馈法预测头孢唑啉在老年患者的药物动力学参数及血药浓度,用高效液相色谱法测定头孢唑啉血药浓度,以1、2个实测血药浓度作为反馈,用Bayes反馈法拟合估算老年患者的个体药动学参数,并与非老年患者比较。结果表明,老年组10例的Cl为(60.1±17.3)ml·h~(-1)kg~(-1),V_d为(0.21±0.07)L·kg~(-1),t_1/2β为(2.6±0.8)h;非老年组10例分别为(87.6±34.4)ml·h~(-1)·kg~(-1),(0.19±0.08)L·kg~(-1)和(1.5±0.4)h。两组Cl、t_1/2β之间的差异有显著意义(P<0.05),V_d之间的差异则无显著意义(P>0.05)。血药浓度预测值与实测值有良好的相关性(r=0.997)。结论:老年患者随增龄Cl降低,t_1/2_β延长,而v_d不变。用Bayes反馈法估算的药物动力学参数可用于预测血药浓度及优化个体化给药方案。
In order to predict the pharmacokinetic parameters and plasma concentration of cefazolin in elderly patients by Bayesian feedback method, the concentration of cefazolin in plasma was determined by high performance liquid chromatography with 1, 2 measured plasma concentrations as feedback. The feedback method fits the individual pharmacokinetic parameters estimated in elderly patients and compared with non-elderly patients. The results showed that Cl in the elderly group was (60.1 ± 17.3) ml · h -1 kg -1, V_d was (0.21 ± 0.07) L · kg -1 and t 1 / 2β was (2.6 ± 0.8) h respectively. The non-elderly group (87.6 ± 34.4) ml · h -1 · kg -1, 0.19 ± 0.08 L · kg -1 and 1.5 ± 0.4) h. The difference between Cl and t_1 / 2β was significant (P <0.05). There was no significant difference between V_d (P> 0.05). Predictors of plasma concentration have a good correlation with the measured values (r = 0.997). CONCLUSIONS: Elderly patients decreased with increasing age Cl, t 1 / 2_β prolonged, while v_d unchanged. Pharmacokinetic parameters estimated using Bayesian feedback can be used to predict plasma concentrations and to optimize individualized dosing regimens.