通过药物警戒方法探讨药物不良反应的信息:抗生素、SSRIs和NSAIDs研究的定性回顾。

Lise Aagaard, Ebba Holme Hansen
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引用次数: 53

摘要

背景:尽管监测努力,意外和严重的药物不良反应(adr)在上市后反复发生。本文的目的是分析可用的ADR信号检测方法报告的ADR,并探索这些方法检测到哪些关于新的和意外的ADR的信息。方法:我们选择3例治疗病例进行回顾:全身使用抗生素,非甾体抗炎药(NSAID)和选择性5 -羟色胺再摄取抑制剂(SSRI)。这些组被广泛使用,代表了不同的治疗类别的药物。通过Medline和Embase的文献检索确定ADR研究。搜寻工作于2007年7月进行。对于每个治疗病例,我们分析了发表时间、不同方法安全性证据的强度、报告的adr,以及与上市时的可用信息相比,这些研究是否产生了关于adr的新信息。结果:79项研究符合纳入分析的条件:23项抗生素研究,35项非甾体抗炎药研究,20项SSRI研究。研究主要发表于20世纪90年代末及以后。尽管这些药物是在不同的年代推出的,但对于抗生素、非甾体抗炎药和SSRIs这三种治疗病例,ADR研究的分析和观察方法都是相似的。这些研究主要分析了A型和B型不良反应,其次分析了C型和D型不良反应,参见罗林斯的分类系统。治疗病例在检测新的不良反应信息方面提供了相似的结果,尽管不同的时间和器官受到攻击。证据等级较高的方法提供了已知或预期不良反应风险的信息,而关于新的和以前未知的不良反应的信息仅通过病例报告发现,这是证据等级中排名最低的方法。结论:尽管这些药物在不同的年代推出,但对抗生素、非甾体抗炎药和SSRIs这三种治疗病例的ADR研究方法是相似的。采用描述性和分析性设计。尽管分析性研究在证据等级中排名较高,但只有排名较低的描述性病例报告/自发报告提供了有关新的和以前未发现的adr的信息。这篇综述强调了建立adr自发报告系统的重要性。因此,应进一步鼓励自发报告,并不断对ADR数据库中的信息进行系统分析。
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Information about ADRs explored by pharmacovigilance approaches: a qualitative review of studies on antibiotics, SSRIs and NSAIDs.

Background: Despite surveillance efforts, unexpected and serious adverse drug reactions (ADRs) repeatedly occur after marketing. The aim of this article is to analyse ADRs reported by available ADR signal detection approaches and to explore which information about new and unexpected ADRs these approaches have detected.

Methods: We selected three therapeutic cases for the review: antibiotics for systemic use, non-steroidal anti-inflammatory medicines (NSAID) and selective serotonin re-uptake inhibitors (SSRI). These groups are widely used and represent different therapeutic classes of medicines. The ADR studies were identified through literature search in Medline and Embase. The search was conducted in July 2007. For each therapeutic case, we analysed the time of publication, the strengths of the evidence of safety in the different approaches, reported ADRs and whether the studies have produced new information about ADRs compared to the information available at the time of marketing.

Results: 79 studies were eligible for inclusion in the analysis: 23 antibiotics studies, 35 NSAID studies, 20 SSRI studies. Studies were mainly published from the end of the 1990s and onwards. Although the drugs were launched in different decades, both analytical and observational approaches to ADR studies were similar for all three therapeutic cases: antibiotics, NSAIDs and SSRIs. The studies primarily dealt with analyses of ADRs of the type A and B and to a lesser extent C and D, cf. Rawlins' classification system. The therapeutic cases provided similar results with regard to detecting information about new ADRs despite different time periods and organs attacked. Approaches ranging higher in the evidence hierarchy provided information about risks of already known or expected ADRs, while information about new and previously unknown ADRs was only detected by case reports, the lowest ranking approach in the evidence hierarchy.

Conclusion: Although the medicines were launched in different decades, approaches to the ADR studies were similar for all three therapeutic cases: antibiotics, NSAIDs and SSRIs. Both descriptive and analytical designs were applied. Despite the fact that analytical studies rank higher in the evidence hierarchy, only the lower ranking descriptive case reports/spontaneous reports provided information about new and previously undetected ADRs. This review underscores the importance of systems for spontaneous reporting of ADRs. Therefore, spontaneous reporting should be encouraged further and the information in ADR databases should continuously be subjected to systematic analysis.

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