Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, USA.
Eur J Clin Pharmacol. 2012 Mar;68(3):239-47. doi: 10.1007/s00228-011-1114-4. Epub 2011 Sep 1.
No consistent method is available for finding stable warfarin maintenance doses and fast stabilization of international normalized ratio (INR) values among healthy subjects in experimental warfarin interaction studies. Using data from an earlier study that targeted a stable INR of 1.5-2.0 to test an interaction, we retrospectively evaluated potential dosing algorithms using all methods available to us to decrease the time needed for INR stabilization, which could be useful for future interaction studies in healthy subjects.
Published pharmacogenetic and clinical dosing algorithms used to initiate pharmacotherapy with warfarin were applied, predicted doses and actual doses were compared by regression analysis, and concentration-time profiles of S-warfarin were simulated using SimCYP® software.
No demographic variables were significantly associated with time to reach a stable, low-intensity INR in this population of relatively young, healthy subjects. Predicted and actual doses were positively correlated for the pharmacogenetic algorithm, but not for the clinical algorithm. INR levels and S-warfarin concentrations were associated with CYP2C9 and VKORC1 genotypes.
Induction to a pharmacodynamic steady state for warfarin for future multiple-dose warfarin drug-interaction studies in healthy volunteers may be predicted using a pharmacogenetic-based dosing algorithm. Simulations revealed that the desired subtherapeutic INR level may be achieved by reducing the predicted dose by approximately 15%. Further study is needed to assess the applicability of this approach to decrease attrition rates and the time needed to reach INR stabilization.
在健康受试者的实验性华法林相互作用研究中,尚无一致的方法可用于确定稳定的华法林维持剂量和快速稳定国际标准化比值(INR)值。使用旨在将 INR 稳定在 1.5-2.0 以测试相互作用的早期研究数据,我们回顾性评估了使用我们所有可用方法降低 INR 稳定所需时间的潜在给药方案,这对于未来健康受试者的相互作用研究可能有用。
应用已发表的华法林起始治疗的药物遗传学和临床给药方案,通过回归分析比较预测剂量和实际剂量,并使用 SimCYP®软件模拟 S-华法林的浓度-时间曲线。
在这个相对年轻、健康的受试者人群中,没有发现任何人口统计学变量与达到稳定、低强度 INR 的时间有显著相关性。药物遗传学算法中预测剂量与实际剂量呈正相关,但临床算法中则不然。INR 水平和 S-华法林浓度与 CYP2C9 和 VKORC1 基因型相关。
对于未来在健康志愿者中进行的多次华法林药物相互作用研究,可能可以使用基于药物遗传学的给药方案来预测华法林达到药效学稳态的情况。模拟结果表明,通过减少预测剂量约 15%,可能达到所需的亚治疗性 INR 水平。需要进一步研究来评估这种方法降低失访率和达到 INR 稳定所需时间的适用性。