Tayeb O S, Al-Fares A M, el-Sayed Y M, Islam S I
Faculty of Medicine and Allied Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
J Clin Pharm Ther. 1988 Apr;13(2):159-63. doi: 10.1111/j.1365-2710.1988.tb00173.x.
Measurement of digoxin serum concentration can be useful as a direct guide to the dose appropriate to individual patients. Therefore, we have attempted to predict digoxin serum concentration in 62 patients with a wide range of body weight, age and renal function, using creatinine clearance and individual digoxin dose. Creatinine clearance in each patient was determined by the Cockroft and Gault method (1). Digoxin clearance was determined by Scheiner's method (2). Once digoxin clearance was determined, the predicted steady-state serum concentration was calculated using general pharmacokinetic principles. Each patient was on digoxin therapy for at least 1 month. Digoxin serum concentration was measured by the newly developed fluorescence polarization immunoassay (FPIA). A linear regression analysis was performed on the data from the predicted and measured serum level which yielded a slope of 0.9463, intercept of 0.0950 and a correlation coefficient (r) of 0.9600. The method was found to be very useful to predict digoxin serum levels in overdosed and underdosed patients.
地高辛血清浓度的测定可作为指导个体患者合适剂量的直接依据。因此，我们尝试利用肌酐清除率和个体地高辛剂量，对62例体重、年龄和肾功能范围广泛的患者的地高辛血清浓度进行预测。每位患者的肌酐清除率采用Cockroft和Gault方法（1）测定。地高辛清除率采用Scheiner方法（2）测定。一旦确定了地高辛清除率，便使用一般药代动力学原理计算预测的稳态血清浓度。每位患者接受地高辛治疗至少1个月。地高辛血清浓度采用新开发的荧光偏振免疫分析法（FPIA）测定。对预测血清水平和实测血清水平的数据进行线性回归分析，得出斜率为0.9463，截距为0.0950，相关系数（r）为0.9600。结果发现该方法对于预测用药过量和用药不足患者的地高辛血清水平非常有用。
