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基于药物基因组学的华法林给药算法在中国人群中的比较性能:利用药代动力学/药效学模型通过临床试验模拟探索给药方案。

Comparative performance of pharmacogenetics-based warfarin dosing algorithms in Chinese population: use of a pharmacokinetic/pharmacodynamic model to explore dosing regimen through clinical trial simulation.

作者信息

Shi Keli, Deng Jiexin

机构信息

School of Medicine.

School of Nursing and Health, Henan University, Kaifeng, China.

出版信息

Pharmacogenet Genomics. 2024 Dec 1;34(9):275-284. doi: 10.1097/FPC.0000000000000545. Epub 2024 Sep 12.

Abstract

OBJECTIVE

Warfarin has a narrow therapeutic window and large variability in dosing that are affected by clinical and genetic factors. To help guide the dosing of warfarin, the Clinical Pharmacogenetics Implementation Consortium has recommended the use of pharmacogenetic algorithms, such as the ones developed by the International Warfarin Pharmacogenetics Consortium (IWPC) and by Gage et al. when genotype information is available.

METHODS

In this study, simulations were performed in Chinese cohorts to explore how dosing differences between Western (by IWPC and Gage et al.) and Chinese algorithms (by Miao et al.) would mean in terms of anticoagulation effect in clinical trials. We first tried to replicate a published clinical trial comparing genotype-guided dosing to routine clinical dosing in Chinese patients. We then made simulations where Chinese cohorts received daily doses recommended by Gage, IWPC, and Miao algorithms.

RESULTS

We found that in simulation conditions where dosing specifications were strictly followed, genotype-guided dosing by IWPC and Lenzini formulae was more likely to overshoot the upper limit of the therapeutic window by day 15, and thus may have a lower % time in therapeutic range (%TTR) than that of clinical dosing group. Also, in comparing Gage, IWPC, and Miao algorithms, we found that the Miao dosing cohort has the highest %TTR and the lowest risk of over-anticoagulation by day 28.

CONCLUSION

In summary, our results confirmed that algorithms developed based on data from local patients may be more suitable for achieving therapeutic international normalized ratio window in Chinese population.

摘要

目的

华法林的治疗窗较窄,剂量变异性大,且受临床和遗传因素影响。为帮助指导华法林的剂量调整,临床药物基因组学实施联盟推荐使用药物基因组学算法,如国际华法林药物基因组学联盟(IWPC)和盖奇等人开发的算法,前提是有基因型信息可用。

方法

在本研究中,对中国人群进行了模拟,以探讨西方算法(IWPC和盖奇等人开发的)与中国算法(苗等人开发的)之间的剂量差异在临床试验中的抗凝效果方面意味着什么。我们首先试图复制一项已发表的临床试验,该试验比较了中国患者中基因型指导剂量与常规临床剂量。然后我们进行了模拟,让中国人群接受盖奇、IWPC和苗算法推荐的每日剂量。

结果

我们发现,在严格遵循剂量规格的模拟条件下,IWPC和伦齐尼公式的基因型指导剂量在第15天时更有可能超过治疗窗上限,因此其在治疗范围内的时间百分比(%TTR)可能低于临床给药组。此外,在比较盖奇、IWPC和苗算法时,我们发现苗给药队列在第28天时具有最高的%TTR和最低的过度抗凝风险。

结论

总之,我们的结果证实,基于当地患者数据开发的算法可能更适合在中国人群中实现治疗性国际标准化比值窗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/11424055/669e9582ccf2/pgen-34-275-g001.jpg

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