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目的:建立环孢素A在重症肌无力患者中的群体药动学模型,了解影响环孢素A代谢的显著影响因素。方法:回顾性搜集82例服用环孢素A的重症肌无力患者的91个血药浓度及其相关资料,利用SPSS软件和逐步回归法分两次建立群体药动学模型,运用内部验证法对模型进行验证。结果:最终所得模型为Ln(Cl/F)=-4.418+1.598Ln(HGB)+0.008W,表明患者的体质量(W)及血红蛋白(HGB)含量对环孢素A在重症肌无力患者体内的代谢影响较大,模型对血药浓度的预测值与实测值误差为15.96%。结论:用SPSS软件和逐步回归法建立的群体药动学型有一定的预测能力,可以用于指导临床给药,并且在样本量增大时,模型会逐渐完善,此法简单易行,值得推广。
OBJECTIVE: To establish a population pharmacokinetic model of cyclosporin A in patients with myasthenia gravis, and to understand the significant influence factors of cyclosporine A metabolism. Methods: A total of 82 patients with myasthenia gravis receiving cyclosporine A were enrolled in this study. 91 plasma concentrations and related data were collected retrospectively. Population pharmacokinetic models were established by SPSS software and stepwise regression analysis. Internal validation Model to verify. Results: The final model was Ln (Cl / F) = -4.418 + 1.598Ln (HGB) + 0.008W, indicating that the patients’ body weight (W) and hemoglobin (HGB) content had no significant effect on the patients with myasthenia gravis The metabolism of the model of plasma concentration of the predicted value and the measured value of the error was 15.96%. Conclusion: The group pharmacokinetic model established by SPSS software and stepwise regression method has some predictive ability and can be used to guide the clinical administration, and the model will be gradually improved when the sample size increases. This method is simple and feasible Promotion.