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Adverse drug reactions – examples of detection of rare events using databases

机译:药物不良反应–使用数据库检测罕见事件的示例

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It is recognised that randomised controlled trials are not feasible for capturing rare adverse events. There is an increasing trend towards observational research methodologies using large population-based health databases. These databases offer more scope for adequate sample sizes, allowing for comprehensive patient characterisation and assessment of the associated factors. While direct causality cannot be established and confounders cannot be ignored, databases present an opportunity to explore and quantify rare events. The use of databases for the detection of rare adverse events in the following conditions, sudden death associated with attention deficit hyperactivity disorder (ADHD) treatment, retinal detachment associated with the use of fluoroquinolones and toxic epidermal necrolysis associated with drug exposure, are discussed as examples. In general, rare adverse events tend to have immediate and important clinical implications and may be life-threatening. An understanding of the causative factors is therefore important, in addition to the research methodologies and database platforms that enable the undertaking of the research.
机译:公认的是,随机对照试验对于捕获罕见的不良事件并不可行。使用基于人口的大型健康数据库进行观察研究方法学的趋势正在增长。这些数据库为适当的样本量提供了更大的范围,从而可以对患者进行全面的表征和相关因素的评估。虽然无法确定直接因果关系,也不能忽略混杂因素,但数据库提供了探索和量化罕见事件的机会。以数据库为例,讨论了以下情况下罕见的不良事件的检测,与注意力缺陷多动障碍(ADHD)治疗相关的猝死,与氟喹诺酮类药物相关的视网膜脱离以及与药物暴露相关的中毒性表皮坏死。 。通常,罕见的不良事件往往具有直接和重要的临床意义,并且可能危及生命。因此,除了能够进行研究的研究方法和数据库平台之外,了解病因也很重要。

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