Mock assessment: Chronic prospective cumulative risk assessment

Laurine Lucas, Pierre L'Yvonnet, Alexandra Mienné, Xavier Sarda
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Abstract

This Mock assessment is a part of the Framework Partnership Agreement between ANSES and EFSA with the help of RIVM to investigate the feasibility of a tiered approach proposed by EFSA for prospective chronic cumulative risk assessment (CRA). Three tiers address successively (i) a need for prospective CRA (Tier 0) using a deterministic approach to estimate the foreground exposure based on IEDI equation, (ii) a first estimation of prospective CRA (Tier I) using a probabilistic approach to estimate the background exposure at P99.9 and a deterministic approach to estimate the foreground exposure at mean or P97.5 consumption and (iii) a second estimation of prospective CRA (Tier II) using a probabilistic approach to estimate the background and foreground exposure at P99.9. ANSES tested this approach with an MRL application for the active substance fenamidone (with chronic effects on the thyroid) on lettuce, based on a new intended use currently under assessment at national level. For each Tier, the Margin of Exposure (MOE) was calculated for 9 populations with MCRA software using input data provided by EFSA and settings according to EFSA protocol. Different combinations of settings were tested as part of sensitivity analyses (consumption data, adjustment for additional uncertainties, cycle of monitoring data, etc.) and were used as the basis for discussion of different open points (trigger value in Tier 0, use frequency for the focal combination in tier II, ad hoc uncertainty analysis to account for additional uncertainties, etc.) to be addressed before prospective CRA could be implemented as a routine exercise. Finally, based on these discussions, recommendations were made to consolidate the approach for chronic prospective CRA.

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模拟评估:慢性前瞻性累积风险评估
该模拟评估是 ANSES 和 EFSA 在 RIVM 的帮助下达成的框架合作伙伴协议的一部分,旨在研究 EFSA 提出的分级方法在前瞻性慢性累积风险评估 (CRA) 中的可行性。三个分层依次解决:(i) 前瞻性 CRA 的需求(第 0 层),使用确定性方法根据 IEDI 方程估算前景暴露量;(ii) 前瞻性 CRA 的首次估算(第 I 层),使用概率方法估算 P99 的背景暴露量。(iii)使用概率方法对 P99.9 的背景暴露和前景暴露进行第二次估算(第二级)。ANSES 用活性物质非那米酮(对甲状腺有慢性影响)在莴苣上的最大残留限量申请测试了这一方法,该申请基于目前正在国家层面评估的新预期用途。对于每个层级,使用 MCRA 软件计算了 9 个人群的暴露限值(MOE),使用的输入数据由 EFSA 提供,设置则根据 EFSA 协议进行。作为敏感性分析(消费数据、额外不确定性调整、监测数据周期等)的一部分,对不同的设置组合进行了测试,并以此为基础讨论了不同的开放点(第 0 级中的触发值、第 II 级中重点组合的使用频率、考虑到额外不确定性的特别不确定性分析等),以便在将前瞻性 CRA 作为例行工作实施之前加以解决。最后,在这些讨论的基础上,提出了整合慢性前瞻性 CRA 方法的建议。
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