Grevel J
Bast, Incorporated, Austin, Texas 78754.
Ther Drug Monit. 1993 Dec;15(6):488-91. doi: 10.1097/00007691-199312000-00006.
Cyclosporine (CsA) immunosuppressive therapy is confounded by a narrow therapeutic window and large intersubject variability. Trough-level monitoring cannot prevent the frequent occurrence of toxic side effects and graft rejection. Area-under-the-curve (AUC) monitoring affords better control of exposure of an individual patient to CsA, which is compensated for by a moderate increase in the number of blood samples. A linear pharmacokinetic model for CsA dosage adjustment using AUC measurements as feedback information decreased the incidence of delayed graft loss during the first month. This strategy failed, however, to lower the frequency of acute graft rejection despite a significant relationship between the probability of rejection and exposure to CsA (measured as average steady-state concentration). A nonlinear Michaelis-Menten model describes the relationship between oral dose rate and average steady-state concentration better than does a linear clearance model. Clinical utility of the nonlinear model remains to be proven.
环孢素(CsA)免疫抑制治疗存在治疗窗狭窄和个体间差异大的问题。谷浓度监测无法预防毒性副作用和移植排斥反应的频繁发生。曲线下面积(AUC)监测能更好地控制个体患者对CsA的暴露量,这通过适度增加血样采集次数来弥补。使用AUC测量值作为反馈信息的CsA剂量调整线性药代动力学模型降低了移植后第一个月延迟移植丢失的发生率。然而,尽管排斥反应概率与CsA暴露量(以平均稳态浓度衡量)之间存在显著关系,但该策略未能降低急性移植排斥反应的频率。非线性米氏模型比线性清除模型能更好地描述口服剂量率与平均稳态浓度之间的关系。非线性模型的临床实用性仍有待证实。