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Genetic polymorphism of CYP1A2 but not total or free teriflunomide concentrations is associated with leflunomide cessation in rheumatoid arthritis

机译:CYp1a2的遗传多态性而非总的或游离的特立氟胺浓度与类风湿性关节炎中的来氟米特停止有关

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摘要

AIM(S): Leflunomide, via its active metabolite teriflunomide, is used in rheumatoid arthritis (RA) treatment, yet approximately 20 to 40% of patients cease due to toxicity. The aim was to develop a time-to-event model describing leflunomide cessation due to toxicity within a clinical cohort and to investigate potential predictors of cessation such as total and free teriflunomide exposure and pharmacogenetic influences. METHODS: This study included individuals enrolled in the Early Arthritis inception cohort at the Royal Adelaide Hospital between 2000 and 2013 who received leflunomide. A time-to-event model in NONMEM was used to describe the time until leflunomide cessation and the influence of teriflunomide exposure and pharmacogenetic variants. Random censoring of individuals was simultaneously described. The clinical relevance of significant covariates was visualised via simulation. RESULTS: Data from 105 patients was analysed, with 34 ceasing due to toxicity. The baseline dropout hazard and baseline random censoring hazard were best described by step functions changing over discrete time intervals. No statistically significant associations with teriflunomide exposure metrics were identified. Of the screened covariates, carriers of the C allele of CYP1A2 rs762551 had a 2.29 fold increase in cessation hazard compared to non-carriers (95% CI 2.24 - 2.34, p = 0.016). CONCLUSIONS: A time-to-event model described the time between leflunomide initiation and cessation due to side effects. The C allele of CYP1A2 rs762551 was linked to increased leflunomide toxicity, while no association with teriflunomide exposure was identified. Future research should continue to investigate exposure-toxicity relationships, as well as potentially toxic metabolites. This article is protected by copyright. All rights reserved.
机译:目的:来氟米特通过其活性代谢物特氟米特用于类风湿关节炎(RA)治疗,但约有20%至40%的患者因毒性而停药。目的是建立一个事件模型,描述在临床队列中因毒性而来氟米特停药的情况,并研究潜在的停药预测因素,例如总和自由的特立氟胺暴露和药理学影响。方法:该研究包括2000年至2013年间在皇家阿德莱德医院参加早期关节炎发作队列的患者,他们接受来氟米特治疗。 NONMEM中的事件发生时间模型用于描述直至来氟米特停药的时间以及特立氟胺暴露和药物遗传学变异的影响。同时描述了对个人的随机审查。通过仿真可以看到重要协变量的临床相关性。结果:对105例患者的数据进行了分析,其中34例因毒性反应而中止。基线辍学危险和基线随机检查危险最好通过在离散时间间隔内变化的阶跃函数来描述。没有发现与teriflunomide暴露指标有统计学意义的关联。在筛选出的协变量中,CYP1A2 rs762551的C等位基因携带者的戒烟危险性比非携带者增加了2.29倍(95%CI 2.24-2.34,p = 0.016)。结论:事件发生时间模型描述了来氟米特起效与因副作用终止之间的时间。 CYP1A2 rs762551的C等位基因与来氟米特毒性增加有关,但未发现与teriflunomide暴露相关。未来的研究应继续调查暴露与毒性的关系以及潜在的有毒代谢产物。本文受版权保护。版权所有。

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