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Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases

机译:使用电子病历和人类遗传数据库进行药物警戒研究的未来方向

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摘要

Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.
机译:药物不良反应(ADR)是决定临床情况下成功药物治疗的关键因素。电子病历(EMR)数据的综合分析和使用适当的分析工具对于进行药物临床决策的回顾性监视是必要的。因此,我们建议在药物警戒的未来方向中将电子医疗记录和人类遗传数据库一起考虑。我们对2005年至2017年期间在PubMed上基于EMR的ADR研究进行了分析,并回顾性获得了1161篇(29.6%)文章描述了药物引起的不良反应(例如,肝,肾,神经系统,免疫系统和炎症反应)。其中只有102篇(8.79%)的文章包含有用的信息,可以在临床用药警报的情况下检测或预测ADR。由于EMR数据集不足和对其进行不正确的分析可能会为临床决策提供错误的警告,因此应努力克服数据挖掘,分析,统计和标准化方面的可能问题。因此,我们解决了回顾性EMR数据库研究在医院环境中的特点和局限性。由于个体之间的基因表达和遗传变异会影响ADR,药代动力学和药效学,因此可以使用公共领域中可用的合适数据库(例如,全基因组关联研究(GWAS),非编码RNA,microRNA,蛋白质组学)优化药物警戒的适当途径和遗传变异),新的靶标和生物标记。这些努力与新的经过验证的生物标志物分析将有助于重新利用临床和转化研究基础设施,并最终考虑ADR进行个性化治疗。

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