Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece.
Department of Business Administration, School of Business, Athens University of Economics and Business, Greece.
Biomed Res Int. 2019 Feb 19;2019:6576483. doi: 10.1155/2019/6576483. eCollection 2019.
Vaccine pharmacovigilance relates to the detection of adverse events, their assessment, understanding, and prevention, and communication of their risk to the public. These activities can be tedious and long lasting for regulatory authority scientists and may be affected by community practices and public health policies. To better understand underlying challenges, we examined vaccine adverse event reports, assessed whether data-driven techniques can provide additional insight in safety characterization, and wondered on the impact of socioeconomic parameters.
First, we integrated VAERS content with additional sources of drug and molecular data and examined reaction and outcome occurrence by using disproportionality metrics and enrichment analysis. Second, we reviewed social and behavioral determinants that may affect vaccine pharmacovigilance aspects.
We describe our experience in processing more than 607000 vaccine adverse event reports and report on the challenges to integrate more than 95500 VAERS medication narratives with structured information about drugs and other therapeutics or supplements. We found that only 12.6% of events were serious, while 8.97% referred to polypharmacy cases. Exacerbation of serious clinical patient outcomes was observed in 8.88% VAERS cases in which drugs may interact with vaccinations or with each other, regardless of vaccine activity interference. Furthermore, we characterized the symptoms reported in those cases and summarized reaction occurrence among vaccine-types. Last, we examine socioeconomic parameters and cost-management features, explore adverse event reporting trends, and highlight perspectives relating to the use and development of digital services, especially in the context of personalized and collaborative health-care.
This work provides an informative review of VAERS, identifies challenges and limitations in the processing of vaccine adverse event data, and calls for the better understanding of the socioeconomic landscape pertaining vaccine safety concerns. We expect that adoption of computational techniques for integrated safety assessment and interpretation is key not only to pharmacovigilance practice but also to stakeholders from the entire healthcare system.
疫苗药物警戒涉及到对不良事件的检测、评估、理解和预防,以及向公众通报其风险。这些活动对于监管机构的科学家来说可能既乏味又耗时,并且可能受到社区实践和公共卫生政策的影响。为了更好地了解潜在的挑战,我们检查了疫苗不良事件报告,评估了数据驱动技术是否可以为安全性特征描述提供额外的见解,并探讨了社会经济参数的影响。
首先,我们将 VAERS 内容与药物和分子数据的其他来源整合,并使用不相称性指标和富集分析来检查反应和结果的发生。其次,我们回顾了可能影响疫苗药物警戒各个方面的社会和行为决定因素。
我们描述了处理超过 607000 份疫苗不良事件报告的经验,并报告了将超过 95500 份 VAERS 药物叙述与关于药物和其他疗法或补充剂的结构化信息整合的挑战。我们发现,只有 12.6%的事件是严重的,而 8.97%的事件涉及多药治疗。在 8.88%的 VAERS 病例中观察到严重临床患者结局的恶化,其中药物可能与疫苗相互作用,或与彼此相互作用,而与疫苗活性干扰无关。此外,我们还对这些病例中报告的症状进行了特征描述,并总结了疫苗类型之间的反应发生情况。最后,我们考察了社会经济参数和成本管理特征,探讨了不良事件报告趋势,并强调了与数字服务的使用和开发相关的观点,特别是在个性化和协作医疗保健的背景下。
这项工作提供了对 VAERS 的信息丰富的综述,确定了处理疫苗不良事件数据的挑战和局限性,并呼吁更好地了解与疫苗安全性相关的社会经济情况。我们期望采用用于综合安全性评估和解释的计算技术不仅是药物警戒实践的关键,也是整个医疗保健系统利益相关者的关键。