Chen M L, Lee S C, Ng M J, Schuirmann D J, Lesko L J, Williams R L
Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, MD 20857, USA.
Clin Pharmacol Ther. 2000 Nov;68(5):510-21. doi: 10.1067/mcp.2000.111184.
To address the questions of whether women should be included in bioequivalence trials and whether dosage adjustment may be needed in women relative to men.
Sex-related analysis was conducted for 26 bioequivalence studies involving both sexes. A total of 94 data sets [47 each for the areas under the plasma concentration-time curve (AUC) and maximum concentration (Cmax)] were used. ANOVA was performed. Three statistical models were used to estimate population means and intrasubject variability between sexes, as well as sex-by-formulation interactions. Comparisons were made by use of confidence intervals, magnitude of observed differences, and statistical significance (alpha = .05).
With some exceptions, intrasubject variabilities were similar for men and women. In about 10% of the data sets (AUC or Cmax), women had significantly higher variability. Although fewer, there were examples with higher variability in men. With a 20 percentage point difference used in the test-over-reference mean ratios between sexes as a signal of sex-by-formulation interaction, the frequency of this interaction (AUC or Cmax) is approximately 13% and approximately 35%, counting by data sets and studies, respectively. Mean sex-related differences of > or = 20% in the pharmacokinetic parameters for the reference product were observed in 39% of the data sets (AUC or Cmax). In approximately 28% of the data sets, these differences were statistically significant. The frequency was approximately 15% after body weight correction.
In general, men and women have similar intrasubject variability. Where variability differs between sexes, there is a suggestion that higher variability in women may be more frequent. The data also suggest that a sex-based subject-by-formulation interaction can occur, although the frequency may be low. Sex-related differences in pharmacokinetics are apparent in many drugs studied. Dosage adjustment with body weight may be warranted for drugs that exhibit a steep dose-response curve. Although exploratory, the results of this study support recommendations of the 1993 Food and Drug Administration gender guideline that women not be excluded from bioequivalence trials.
探讨生物等效性试验中是否应纳入女性以及女性相对于男性是否可能需要调整剂量。
对涉及两性的26项生物等效性研究进行性别相关分析。共使用了94个数据集[血浆浓度-时间曲线下面积(AUC)和最大浓度(Cmax)各47个]。进行了方差分析。使用三种统计模型来估计两性之间的总体均值和个体内变异性,以及剂型与性别的交互作用。通过置信区间、观察到的差异大小和统计学显著性(α = 0.05)进行比较。
除某些例外情况外,男性和女性的个体内变异性相似。在约10%的数据集(AUC或Cmax)中,女性的变异性显著更高。虽然数量较少,但也有男性变异性更高的例子。以两性之间试验与参比均值比相差20个百分点作为剂型与性别交互作用的信号,这种交互作用(AUC或Cmax)的频率按数据集计算约为13%,按研究计算约为35%。在39%的数据集(AUC或Cmax)中观察到参比产品药代动力学参数的性别相关平均差异≥20%。在约28%的数据集中,这些差异具有统计学显著性。体重校正后频率约为15%。
总体而言,男性和女性的个体内变异性相似。当两性变异性不同时,提示女性变异性较高的情况可能更常见。数据还表明,虽然频率可能较低,但可能存在基于性别的受试者与剂型交互作用。在所研究的许多药物中,药代动力学的性别相关差异很明显。对于呈现陡峭剂量反应曲线的药物,可能需要根据体重调整剂量。尽管本研究具有探索性,但其结果支持1993年美国食品药品监督管理局性别指南中关于生物等效性试验不应排除女性的建议。