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目的:评价3种不同华法林剂量预测模型对汉族人群华法林每日维持剂量预测的准确性。方法:选取86例行VKORC1、CYP2C9基因多态性检测,华法林抗凝治疗且INR达标患者,收集患者平均每日华法林维持剂量、人口学信息及临床情况等;通过比较患者的实际剂量与预测剂量的差异,评价Gage模型、国际华法林药物基因组协会(IWPC)和药物作用靶点基因检测技术指南(指南)等推荐的华法林剂量预测模型的准确性。结果:Gage模型的预测剂量稍小于患者实际剂量,但没有统计学差异[(3.81±0.95)mg vs.(4.19±1.19)mg,P=0.199],预测准确率61.6%,而IWPC、指南模型的平均预测剂量均低于患者实际剂量[(3.48±0.85)mg,P=0.025和(3.38±0.66)mg,P=0.007)];预测准确率分别为48.8%和41.8%。结论:GAGE模型更适合威海地区汉族人群,但需大样本研究进一步验证其准确性。
OBJECTIVE: To evaluate the accuracy of three different warfarin dose prediction models for predicting the daily maintenance dose of warfarin in Han Chinese population. Methods: Totally 86 patients received VCR, CYP2C9 gene polymorphism, warfarin anticoagulation and INR, the average daily warfarin maintenance dose, demographic information and clinical condition were collected. By comparing the actual dose of Predict the accuracy of the warfarin dosage prediction model recommended by the Gage model, the International Warfarin Pharmaceutical Genome Organization (IWPC), and the guidelines for gene detection of drug targets (guidelines). Results: The predicted dose of Gage model was slightly lower than the actual dose of patients, but there was no statistical difference [(3.81 ± 0.95) mg vs. (4.19 ± 1.19) mg, P = 0.199], and the prediction accuracy was 61.6% (3.48 ± 0.85) mg, P = 0.025 and (3.38 ± 0.66) mg respectively, P = 0.007). The prediction accuracy was 48.8% and 41.8% respectively. Conclusion: The GAGE model is more suitable for the Han population in Weihai area, but large sample studies are needed to further verify its accuracy.