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定量风险评估烟草产品:实质性等同评估的一个潜在有用组成部分。

Quantitative risk assessment of tobacco products: A potentially useful component of substantial equivalence evaluations.

机构信息

RAI Services Company, 401 North Main Street, Winston-Salem, NC, 27101, USA.

Ramboll, 3107 Armand Street, Monroe, LA, 71201, USA.

出版信息

Regul Toxicol Pharmacol. 2018 Jun;95:371-384. doi: 10.1016/j.yrtph.2018.03.026. Epub 2018 Mar 31.

Abstract

Quantitative risk assessment (QRA), a scientific, evidence-based analytical process that combines chemical and biological data to quantify the probability and potential impact of some defined risk, is used by regulatory agencies for decision-making. Thus, in tobacco product regulation, specifically in substantial equivalence (SE) evaluations, QRA can provide a useful, practical, and efficient approach to address questions that might arise regarding human health risk and potential influence on public health. In SE reporting, when differences in product characteristics may necessitate the determination of whether a new product raises different questions of public health, the results from QRA are a valuable metric. An approach for QRA in this context is discussed, which is modeled after the methodology for assessment of constituent mixtures by the US Environmental Protection Agency for environmental Superfund site assessment. Given the intent in both cases is an assessment of the public health impact resulting from the totality of exposure to a mixture of constituents, the application is appropriate. Although some uncertainties in the information incorporated may exist, relying on the most appropriate of the available data increases the confidence and decreases the uncertainty in the risk characterization using this data-driven methodology.

摘要

定量风险评估(QRA)是一种科学的、基于证据的分析过程,它结合了化学和生物数据,以量化某些定义风险的概率和潜在影响,被监管机构用于决策。因此,在烟草产品监管中,特别是在实质性等同(SE)评估中,QRA 可以提供一种有用、实用和高效的方法来解决可能出现的关于人类健康风险和对公共健康潜在影响的问题。在 SE 报告中,当产品特征的差异可能需要确定新产品是否会引起不同的公共健康问题时,QRA 的结果是一个有价值的指标。讨论了这种情况下的 QRA 方法,该方法是根据美国环境保护署用于环境超级基金场地评估的成分混合物评估方法建模的。鉴于这两种情况的目的都是评估由于暴露于成分混合物而导致的总体公共健康影响,因此该应用是合适的。尽管所包含的信息中可能存在一些不确定性,但依赖于可用数据中最合适的数据可以增加使用这种基于数据的方法进行风险特征描述的可信度,并降低不确定性。

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