Chung Inbum, Oh Jaeseong, Lee SeungHwan, Jang In-Jin, Lee Youngjo, Chung Jae-Yong
Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Korea.
Department of Statistics, College of Natural Sciences, Seoul National University, Seoul 08826, Korea.
Transl Clin Pharmacol. 2018 Mar;26(1):6-9. doi: 10.12793/tcp.2018.26.1.6. Epub 2018 Mar 16.
Because bioequivalence studies are performed using a crossover design, information on the intra-subject coefficient of variation (intra-CV) for pharmacokinetic measures is needed when determining the sample size. However, calculated intra-CVs based on bioequivalence results of identical generic drugs produce different estimates. In this study, we collected bioequivalence results using public resources from the Ministry of Food and Drug Safety (MFDS) and calculated the intra-CVs of various generics. For the generics with multiple bioequivalence results, pooled intra-CVs were calculated. The estimated intra-CVs of 142 bioequivalence studies were 14.7±8.2% for AUC and 21.7±8.8% for C. Intra-CVs of C were larger than those of area under the concentration-time curve (AUC) in 129 studies (90.8%). For the 26 generics with multiple bioequivalence results, the coefficients of variation of intra-CVs between identical generics (mean±sd (min ~ max)) were 38.0±24.4% (1.9 ~ 105.3%) for AUC and 27.9±18.2% (4.0 ~ 70.1%) for C. These results suggest that substantial variation exists among the bioequivalence results of identical generics. In this study, we presented the intra-CVs of various generics with their pooled intra-CVs. The estimated intra-CVs calculated in this study will provide useful information for planning future bioequivalence studies. (This is republication of the article ' 2017;25:179-182' retracted from critical typographic errors. See the 'Retraction and Republication section of this issue for further information).
由于生物等效性研究采用交叉设计,因此在确定样本量时需要药代动力学测量的受试者内变异系数(个体内变异系数)信息。然而,基于相同仿制药的生物等效性结果计算出的个体内变异系数会产生不同的估计值。在本研究中,我们利用食品药品安全部(MFDS)的公共资源收集了生物等效性结果,并计算了各种仿制药的个体内变异系数。对于具有多个生物等效性结果的仿制药,计算了合并个体内变异系数。142项生物等效性研究的估计个体内变异系数,AUC为14.7±8.2%,C为21.7±8.8%。在129项研究(90.8%)中,C的个体内变异系数大于浓度-时间曲线下面积(AUC)的个体内变异系数。对于26种具有多个生物等效性结果的仿制药,相同仿制药之间个体内变异系数的变异系数(均值±标准差(最小值最大值)),AUC为38.0±24.4%(1.9105.3%),C为27.9±18.2%(4.0~70.1%)。这些结果表明,相同仿制药的生物等效性结果之间存在很大差异。在本研究中,我们展示了各种仿制药的个体内变异系数及其合并个体内变异系数。本研究中计算的估计个体内变异系数将为规划未来的生物等效性研究提供有用信息。(本文是对因严重排版错误而撤回的文章“2017;25:179-182”的重新发表。有关更多信息,请参阅本期的“撤回与重新发表”部分)