Senior Scientist, Emeritus, Consulting in the Public Interest, 53 Clinton Street, Lambertville, NJ 08530,
Health Phys. 2022 Aug 1;123(2):133-153. doi: 10.1097/HP.0000000000001580. Epub 2022 May 20.
The objective of this paper is to compare post-2007 epidemiological results for plutonium workers to risk predicted by the software program NIOSH-IREP (IREP for short), which is used to determine the lowest dose for a US veteran to obtain cancer compensation. IREP output and methodology were used to predict excess relative risk per Gy (ERR Gy -1 ) for lung cancer at the 99 th credibility percentile, which is used for compensation decisions. Also estimated were relative biological effectiveness factors (RBE) predicted for workers using IREP methodology. IREP predictions were compared to results for Mayak and Sellafield plutonium workers, separately and pooled. Indications that IREP might underpredict 99 th -percentile lung cancer plutonium risk came from (1) comparison of worker RBEs and (2) from comparison of Sellafield results separately. When Sellafield and Mayak data were pooled, ERR Gy -1 comparisons at the 99 th percentile roughly matched epidemiological data with regression dose range restricted to < 0.05 Gy, the most relevant region to veterans, but overpredicted for the full dose range. When four plausible distributions for lung cancer risk, including both new and old data, were combined using illustrative weighting factors, compensation cutoff dose for lung cancer matched current IREP values unless regression results below 0.05 were chosen for Sellafield, producing a two-fold reduction. A 1997 claim of a dose threshold in lung cancer dose response was not confirmed in later literature. The benefit of the doubt is given to claimants when the science is unclear. The challenge for NIOSH-IREP custodians is dealing with the Sellafield results, which might best match US claimants.
本文旨在比较 2007 年后钚作业工人的流行病学结果与 NIOSH-IREP 软件程序(简称 IREP)的预测风险,该软件程序用于确定美国退伍军人获得癌症赔偿的最低剂量。IREP 输出和方法被用于预测肺癌的 99%置信度百分位超额相对风险(ERR Gy-1),这是用于赔偿决策的。还估计了使用 IREP 方法预测的工人的相对生物有效性因子(RBE)。IREP 预测结果与 Mayak 和 Sellafield 钚工人的数据进行了比较,分别和合并。IREP 可能低估 99%百分位肺癌钚风险的迹象来自于:(1)工人 RBE 的比较;(2)分别比较 Sellafield 的结果。当 Sellafield 和 Mayak 的数据合并时,99%百分位的 ERR Gy-1 比较与流行病学数据大致匹配,回归剂量范围限制在<0.05 Gy,这是退伍军人最相关的区域,但在全剂量范围内预测过高。当使用说明性权重因子合并四个可能的肺癌风险分布,包括新数据和旧数据时,除非选择 Sellafield 低于 0.05 的回归结果,否则肺癌的赔偿截止剂量与当前的 IREP 值匹配,产生两倍的减少。后来的文献没有证实肺癌剂量反应中存在剂量阈值的说法。当科学不明确时,应该给予索赔者怀疑的好处。NIOSH-IREP 监护人面临的挑战是处理 Sellafield 的结果,这可能最符合美国索赔者的要求。