Dhariwal Kuldeep, Jackson Andre
Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, MD 20857, USA.
Biopharm Drug Dispos. 2003 Jul;24(5):219-28. doi: 10.1002/bdd.359.
The relationships between post-dosing blood sampling schedules and length of washout interval on the percent of drug carryover into period 2, in a two-treatment, two-period, crossover bioequivalence study was investigated. Observed simulations were done using a two-compartment model with a beta half-life of 100 h, sampling to 200 and 300 h, followed by 1 to 4 washout half-lives. These data were compared with simulations with sampling for 200 and 300 h and no carryover between periods (i.e. true data) and used to establish the per cent carryover. Pseudo-observed concentration period 2 data were also generated for an experimental amiodarone bioequivalence study by adding either 5%, 10% or 50% of the period 2 C(max) value to the observed concentrations of selected subjects (i.e. those with longest half-lives) to give a pseudo-plasma concentration profile. Further investigation via simulation was done by including or excluding subjects with time 0 concentrations of 1%-10% of period 2 C(max). The simulated data indicated that up to a 3% carryover of AUC into the second period of a bioequivalence study had no effect on the power of the 90% CI for AUC and C(max). For amiodarone, second period pre-dose drug concentrations equal to as much as 50% of the observed period 2 C(max) value had less effect on the 90% CI (i.e. compared with the true data) for AUC and C(max) than did subject deletion.
在一项双治疗、双周期交叉生物等效性研究中,研究了给药后血样采集时间表与洗脱间隔时长对进入第2周期的药物残留百分比的影响。使用具有100小时β半衰期的二室模型进行观察模拟,采样至200小时和300小时,随后进行1至4个洗脱半衰期。将这些数据与采样200小时和300小时且周期之间无残留(即真实数据)的模拟结果进行比较,并用于确定残留百分比。还通过将第2周期C(max)值的5%、10%或50%添加到选定受试者(即半衰期最长的受试者)的观察浓度中,为一项实验性胺碘酮生物等效性研究生成了伪观察第2周期浓度数据,以给出伪血浆浓度曲线。通过纳入或排除第0时间浓度为第2周期C(max)的1%-10%的受试者,进一步进行模拟研究。模拟数据表明,生物等效性研究第2周期中AUC高达3%的残留对AUC和C(max)的90%置信区间的效能没有影响。对于胺碘酮,与剔除受试者相比,第2周期给药前药物浓度高达观察到的第2周期C(max)值的50%对AUC和C(max)的90%置信区间(即与真实数据相比)的影响较小。