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[心理药物治疗中相互作用数据库的验证]

[Validation of interaction databases in psychopharmacotherapy].

作者信息

Hahn M, Roll S C

机构信息

Vitos Klinik Eichberg, Kloster-Eberbach-Str.4, 65346, Eltville, Deutschland.

出版信息

Nervenarzt. 2018 Mar;89(3):319-326. doi: 10.1007/s00115-017-0385-0.

Abstract

BACKGROUND

Drug-drug interaction databases are an important tool to increase drug safety in polypharmacy. There are several drug interaction databases available but it is unclear which one shows the best results and therefore increases safety for the user of the databases and the patients. So far, there has been no validation of German drug interaction databases.

GOAL

Validation of German drug interaction databases regarding the number of hits, mechanisms of drug interaction, references, clinical advice, and severity of the interaction.

METHODS

A total of 36 drug interactions which were published in the last 3-5 years were checked in 5 different databases. Besides the number of hits, it was also documented if the mechanism was correct, clinical advice was given, primary literature was cited, and the severity level of the drug-drug interaction was given.

RESULTS

All databases showed weaknesses regarding the hit rate of the tested drug interactions, with a maximum of 67.7% hits. The highest score in this validation was achieved by MediQ with 104 out of 180 points. PsiacOnline achieved 83 points, arznei-telegramm® 58, ifap index® 54 and the ABDA-database 49 points. Based on this validation MediQ seems to be the most suitable databank for the field of psychopharmacotherapy.

DISCUSSION

The best results in this comparison were achieved by MediQ but this database also needs improvement with respect to the hit rate so that the users can rely on the results and therefore increase drug therapy safety.

摘要

背景

药物相互作用数据库是提高联合用药安全性的重要工具。目前有多个药物相互作用数据库,但尚不清楚哪个数据库能给出最佳结果,从而提高数据库用户及患者的安全性。到目前为止,德国的药物相互作用数据库尚未经过验证。

目的

对德国药物相互作用数据库在命中数、药物相互作用机制、参考文献、临床建议以及相互作用严重程度方面进行验证。

方法

在5个不同的数据库中核查了过去3至5年发表的总共36种药物相互作用。除命中数外,还记录了机制是否正确、是否给出临床建议、是否引用了原始文献以及药物-药物相互作用的严重程度级别。

结果

所有数据库在测试药物相互作用的命中率方面均存在不足,最高命中率为67.7%。在此验证中得分最高的是MediQ,得180分中的104分。PsiacOnline得83分,arznei-telegramm® 得58分,ifap index® 得54分,ABDA数据库得49分。基于此验证,MediQ似乎是精神药物治疗领域最合适的数据库。

讨论

在此次比较中MediQ取得了最佳结果,但该数据库在命中率方面也需要改进,以便用户能够信赖结果,从而提高药物治疗安全性。

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