基准剂量比分布的估计 超级分析
Todd Blessinger1, John Fox2, Jeffry Dean3
1Center for Public Health and Environmental Assessment (CPHEA), United States Environmental Protection Agency (US EPA), Mail code 8623N, 1200 Pennsylvania Ave NW, Washington, DC, 20460, USA.
国际化学安全计划 (IPCS) 为化学安全参考值开发了一个概率框架和软件 (APROBA). 新数据表明APROBA可能低估了一些毒理学预测的不确定性.
科学领域:
- 环境健康
- 毒理学
- 风险评估
背景情况:
- 国际化学安全计划 (IPCS) 建立了一个概率框架和近似概率分析 (APROBA) 软件,用于推导化学参考值.
- 该框架估计了不确定性和可变性,包括从次慢性毒性数据推断到慢性毒性数据,使用基准剂量 (BMD).
研究的目的:
- 使用更广泛的数据集重新评估亚慢性到慢性抽象分布.
- 评估IPCS框架和APROBA默认参数与新分析的毒理数据的一致性.
- 确定APROBA对化学风险评估的不确定性量化的潜在局限性.
主要方法:
- 估计了亚慢性到慢性分布,使用更大的数据集,包括经历身体和器官体重数据之外的细胞病理和临床终点.
- 与APROBA软件中的默认参数和假设进行了推导的分布和不确定性估计.
- 评估剂量反应模型适合使用标准适合度统计数据以外的多个指标.
主要成果:
- 分析证实,IPCS方法的关键假设和APROBA的默认值总体上与新数据一致.
- 然而,对二分反应数据的预测显示出比APROBA所假设的更大的不确定性,导致在一个示例情况下的参考值降低了约25%.
- APROBA的默认参数不能完全捕捉预测的慢性骨损伤的不确定性,特别是当骨损伤在观察到的剂量范围之外或无法量化时.
结论:
- 虽然IPCS框架在很大程度上得到了支持,但APROBA的默认设置可能低估了某些毒理终点的不确定性.
- 对于在化学风险评估中准确量化不确定性,对剂量反应模型的更严格评估至关重要.
- 这些发现强调了在确定化学安全参考值时,需要仔细应用和潜在的精细化概率方法.
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