Bokkers Bas G H, Mengelers Marcel J, Bakker Martine I, Chiu Weihsueh A, Slob Wout
National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Food Chem Toxicol. 2017 Dec;110:408-417. doi: 10.1016/j.fct.2017.10.038. Epub 2017 Oct 23.
To facilitate the application of probabilistic risk assessment, the WHO released the APROBA tool. This tool applies lognormal uncertainty distributions to the different aspects of the hazard characterization, resulting in a probabilistic health-based guidance value. The current paper describes an extension, APROBA-Plus, which combines the output from the probabilistic hazard characterization with the probabilistic exposure to rapidly characterize risk and its uncertainty. The uncertainty in exposure is graphically compared with the uncertainty in the target human dose, i.e. the dose that complies with the specified protection goals. APROBA-Plus is applied to several case studies, resulting in distinct outcomes and illustrating that APROBA-Plus could serve as a standard extension of routine risk assessments. By visualizing the uncertainties, APROBA-Plus provides a more transparent and informative outcome than the more usual deterministic approaches, so that risk managers can make better informed decisions. For example, APROBA-Plus can help in deciding whether risk-reducing measures are warranted or that a refined risk assessment would first be needed. If the latter, the tool can be used to prioritize possible refinements. APROBA-Plus may also be used to rank substances into different risk categories, based on potential health risks without being compromised by different levels of conservatism that may be associated with point estimates of risk.
为促进概率风险评估的应用,世界卫生组织发布了APROBA工具。该工具将对数正态不确定性分布应用于危害特征描述的不同方面,从而得出基于健康的概率指导值。本文描述了一种扩展工具APROBA-Plus,它将概率危害特征描述的输出结果与概率暴露相结合,以快速表征风险及其不确定性。将暴露的不确定性与目标人体剂量(即符合指定保护目标的剂量)的不确定性进行图形比较。APROBA-Plus应用于多个案例研究,得出了不同的结果,并表明APROBA-Plus可作为常规风险评估的标准扩展。通过可视化不确定性,APROBA-Plus比更常见的确定性方法提供了更透明、更具信息性的结果,以便风险管理者能够做出更明智的决策。例如,APROBA-Plus有助于决定是否需要采取降低风险的措施,或者是否首先需要进行更精细的风险评估。如果是后者,该工具可用于对可能的改进进行优先级排序。APROBA-Plus还可用于根据潜在健康风险将物质分类到不同的风险类别中,而不会受到可能与风险点估计相关的不同保守程度的影响。