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The development and validation of a novel genetic-based warfarin dosing nomogram.

机译:新型基于遗传的华法林剂量诺模图的开发和验证。

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摘要

Warfarin has been used as an anticoagulant for various thromboembolic disorders for over 60 years with an estimated two million new prescriptions per year. However, due to a very narrow therapeutic index and a large inter-patient variability in dose requirements, its use results in more serious adverse events annually than any other medication. Recent advances in the field of pharmacogenomics have resulted in a focus on the development of warfarin dosing algorithms that include genetic and non-genetic information. Several of these algorithms have proved very promising in research settings, but their application in clinical practice has not been fully validated. One of difficulties with the current genetic-based algorithms is that they are multi-factor equations derived from regression analysis. The goal of this research is to develop and evaluate a simple genetic-based warfarin dosing algorithm that would be practical to use in a typical clinical practice setting. The result of this research is a validated, tabular nomogram that does not require any calculations to predict a practical warfarin dosage regimen.
机译:华法林已被用作多种血栓栓塞性疾病的抗凝剂,已有60多年的历史,估计每年有200万新处方。但是,由于治疗指标非常狭窄并且患者之间的剂量要求差异很大,因此与其他药物相比,其使用每年会导致更严重的不良事件。药物基因组学领域的最新进展导致对华法林给药算法的关注集中,该算法包括遗传和非遗传信息。这些算法中的几种已被证明在研究环境中很有希望,但是它们在临床实践中的应用尚未得到充分验证。当前基于遗传的算法的困难之一是它们是从回归分析中得出的多因素方程。这项研究的目的是开发和评估一种简单的基于遗传的华法林剂量算法,该算法可在典型的临床实践环境中实用。这项研究的结果是一个经过验证的表格列线图,不需要进行任何计算即可预测出实际的华法林剂量方案。

著录项

  • 作者

    Kidd, Robert S.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Health Sciences Pharmacy.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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