Azimuth Consulting Group, 218-2902 West Broadway, Vancouver, British Columbia, Canada.
Integr Environ Assess Manag. 2010 Jan;6(1):28-37. doi: 10.1897/IEAM_2009-010.1.
Toxicity reference values (TRVs) are essential in models used in the prediction of the potential for adverse impacts of environmental contaminants to avian and mammalian wildlife; however, issues in their derivation and application continue to result in inconsistent hazard and risk assessments that present a challenge to site managers and regulatory agencies. Currently, the available science does not support several common practices in TRV derivation and application. Key issues include inappropriate use of hazard quotients and the inability to define the probability of adverse outcomes. Other common problems include the continued use of no-observed- and lowest-observed-adverse-effect levels (NOAELs and LOAELs), the use of allometric scaling for interspecific extrapolation of chronic TRVs, inappropriate extrapolation across classes when data are limited, and extrapolation of chronic TRVs from acute data without scientific basis. Recommendations for future TRV derivation focus on using all available qualified toxicity data to include measures of variation associated with those data. This can be achieved by deriving effective dose (EDx)-based TRVs where x refers to an acceptable (as defined in a problem formulation) reduction in endpoint performance relative to the negative control instead of relying on NOAELs and LOAELs. Recommendations for moving past the use of hazard quotients and dealing with the uncertainty in the TRVs are also provided.
毒性参考值 (TRV) 在用于预测环境污染物对鸟类和哺乳动物野生动物潜在不利影响的模型中至关重要;然而,在其推导和应用中仍然存在问题,导致危害和风险评估不一致,这给场地管理者和监管机构带来了挑战。目前,可用的科学并不支持 TRV 推导和应用中的几种常见做法。关键问题包括危害指数的不当使用以及无法定义不良结果的概率。其他常见问题包括继续使用无观察到和最低观察到不良效应水平 (NOAEL 和 LOAEL)、种间慢性 TRV 外推的同种比例缩放、数据有限时跨类别的不当外推以及缺乏科学依据的从急性数据推断慢性 TRV。未来 TRV 推导的建议侧重于使用所有可用的合格毒性数据,包括与这些数据相关的变异测量。这可以通过推导基于有效剂量 (EDx) 的 TRV 来实现,其中 x 是指相对于阴性对照,终点性能可接受(如问题表述中定义)的减少,而不是依赖于 NOAEL 和 LOAEL。还提供了关于超越危害指数使用和处理 TRV 不确定性的建议。