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疫苗接种后不良反应的因果关系评估:多因素病理学问题。

Causality assessment of adverse events following immunization: the problem of multifactorial pathology.

机构信息

Department of Medicine, Section of General Pathology, University of Verona Medical School, Verona, 37134, Italy.

出版信息

F1000Res. 2020 Mar 9;9:170. doi: 10.12688/f1000research.22600.2. eCollection 2020.

Abstract

The analysis of Adverse Events Following Immunization (AEFI) is important in a balanced epidemiological evaluation of vaccines and in the issues related to vaccine injury compensation programs. The majority of adverse reactions to vaccines occur as excessive or biased inflammatory and immune responses. These unwanted phenomena, occasionally severe, are associated with many different endogenous and exogenous factors, which often interact in complex ways. The confirmation or denial of the causal link between an AEFI and vaccination is determined pursuant to WHO guidelines, which propose a four-step analysis and algorithmic diagramming. The evaluation process from the onset considers all possible "other causes" that might explain the AEFI and thus exclude the role of the vaccine. Subsequently, even if there was biological plausibility and temporal compatibility for a causal association between the vaccine and the AEFI, the guidelines ask to look for any possible evidence that the vaccine could not have caused that event. Such an algorithmic method presents several concerns that are discussed here, in the light of the multifactorial nature of the inflammatory and immune pathologies induced by vaccines, including emerging knowledge of genetic susceptibility to adverse effects. It is proposed that the causality assessment could exclude a consistent association of the adverse event with the vaccine only when the presumed "other cause" is independent of an interaction with the vaccine. Furthermore, the scientific literature should be viewed not as an exclusion criterion but as a comprehensive analysis of all the evidence for or against the role of the vaccine in causing an adverse reaction. Given these inadequacies in the evaluation of multifactorial diseases, the WHO guidelines need to be reevaluated and revised. These issues are discussed in relation to the laws that, in some countries, regulate the mandatory vaccinations and the compensation for those who have suffered serious adverse effects.

摘要

疫苗不良事件(AEFI)分析在疫苗的平衡流行病学评估以及与疫苗损伤赔偿计划相关的问题中非常重要。大多数疫苗不良反应是过度或偏向的炎症和免疫反应。这些不期望的现象,偶尔会很严重,与许多不同的内源性和外源性因素有关,这些因素经常以复杂的方式相互作用。AEFI 与疫苗接种之间因果关系的确立或否认是根据世界卫生组织(WHO)的指南来确定的,该指南提出了四步分析和算法图。从发病开始的评估过程考虑了可能解释 AEFI 的所有可能的“其他原因”,从而排除了疫苗的作用。随后,即使疫苗和 AEFI 之间存在因果关联的生物学合理性和时间兼容性,指南也要求寻找任何可能的证据,证明疫苗不可能引起该事件。这种算法方法存在几个问题,这些问题在这里根据疫苗引起的炎症和免疫病理的多因素性质进行了讨论,包括对不良反应遗传易感性的新认识。建议仅当假定的“其他原因”与疫苗无关时,因果关系评估才能排除不良事件与疫苗之间的一致关联。此外,科学文献不应被视为排除标准,而应作为对疫苗在引起不良反应中的作用的所有证据的全面分析。鉴于对多因素疾病评估的不足,需要重新评估和修订世界卫生组织的指南。这些问题与一些国家监管强制性疫苗接种和对遭受严重不良反应的人进行赔偿的法律有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2bf/7194482/9386bd54a1c7/f1000research-9-25635-g0000.jpg

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