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计算机辅助华法林剂量调整在瑞典国家质量登记处 AuriculA 中的应用——算法建议比手动调整剂量更有效。

Computer aided warfarin dosing in the Swedish national quality registry AuriculA - Algorithmic suggestions are performing better than manually changed doses.

机构信息

Internal medicine, Sundsvall hospital, Department of Public Health and Clinical Medicine, Umeå university, Umeå, Sweden.

出版信息

Thromb Res. 2013 Feb;131(2):130-4. doi: 10.1016/j.thromres.2012.11.016. Epub 2012 Dec 8.

DOI:10.1016/j.thromres.2012.11.016
PMID:23232091
Abstract

INTRODUCTION

Warfarin treatment with a high time in therapeutic range (TTR) is correlated to fewer complications. The TTR in Sweden is generally high but varies partly depending on local expertise and traditions. A dosing algorithm could minimize variations and increase treatment quality. Here we evaluate the performance of a computerized dosing algorithm.

MATERIALS AND METHODS

53.779 warfarin treated patients from 125 centers using the Swedish national quality registry AuriculA. If certain criteria are met, the algorithm gives one of seven possible dose suggestions, which can be unchanged, decreased or increased weekly dose by 5, 10 or 15%. The outcome evaluated by the resulting INR value was compared between dose suggestions arising from the algorithm that were accepted and those that were manually changed. There were no randomization, and outcomes were retrospectively analyzed.

RESULTS

Both the algorithm-based and the manually changed doses had worse outcome if only two instead of three previous INR values were available. The algorithm suggestions were superior to manual dosing regarding percent samples within the target range 2-3 (hit-rate) or deviation from INR 2.5 (mean error). Of the seven possible outcomes from the algorithm, six were significantly superior and one equal to the manually changed doses when three previous INR:s were present.

CONCLUSIONS

The algorithm-based dosing suggestions show better outcome in most cases. This can make dosing of warfarin easier and more efficient. There are however cases where manual dosing fares better. Here the algorithm will be improved to further enhance its dosing performance in the future.

摘要

简介

华法林治疗的治疗时间在治疗范围内(TTR)与并发症较少相关。瑞典的 TTR 通常较高,但部分取决于当地专业知识和传统。剂量算法可以最小化变化并提高治疗质量。在这里,我们评估了一种计算机化剂量算法的性能。

材料和方法

使用瑞典国家质量登记处 AuriculA 的 125 个中心的 53779 名接受华法林治疗的患者。如果满足某些标准,算法会给出七种可能剂量建议之一,可以不变、减少或每周增加 5、10 或 15%的剂量。通过接受算法建议和手动更改剂量建议得出的 INR 值评估结果。没有随机化,结果是回顾性分析的。

结果

如果只有两个而不是三个之前的 INR 值可用,基于算法的剂量建议和手动更改的剂量的结果都更差。与 INR 2.5 的偏差(平均误差)相比,算法建议在目标范围 2-3 内的样本百分比(命中率)方面优于手动剂量。在算法的七种可能结果中,当存在三个之前的 INR 时,六种结果明显优于手动改变剂量,一种结果等于手动改变剂量。

结论

基于算法的剂量建议在大多数情况下显示出更好的结果。这可以使华法林的剂量更容易和更有效。然而,在某些情况下,手动剂量效果更好。在这里,算法将得到改进,以进一步提高其未来的剂量性能。

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