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使用剂量相加法估算多种化学物质暴露的累积风险。

Using dose addition to estimate cumulative risks from exposures to multiple chemicals.

作者信息

Chen J J, Chen Y J, Rice G, Teuschler L K, Hamernik K, Protzel A, Kodell R L

机构信息

Division of Biometry and Risk Assessment, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA.

出版信息

Regul Toxicol Pharmacol. 2001 Aug;34(1):35-41. doi: 10.1006/rtph.2001.1485.

Abstract

The Food Quality Protection Act (FQPA) of 1996 requires the EPA to consider the cumulative risk from exposure to multiple chemicals that have a common mechanism of toxicity. Three methods, hazard index (HI), point-of-departure index (PODI), and toxicity equivalence factor (TEF), have commonly been considered to estimate the cumulative risk. These methods are based on estimates of ED(10) (point of departure) and reference doses from the dose-response functions of individual chemicals. They do not incorporate the actual dose-response function of the mixture from multiple chemical exposures. Dose addition is considered to be an appropriate approach to cumulative risk assessment because it assumes that the chemicals of interest act in accordance with a common mode of action (a similar action). This paper proposes a formal statistical procedure to estimate the cumulative risk by fitting the dose-response model of the mixture under dose addition. The relative potency between two chemicals is estimated directly from the joint dose response model of the mixture. An example data set of four drugs representing four chemicals is used to illustrate the proposed procedure and compare it to the HI, PODI, and TEF methods.

摘要

1996年的《食品质量保护法》(FQPA)要求美国环境保护局(EPA)考虑接触具有共同毒性机制的多种化学物质所产生的累积风险。通常认为有三种方法可用于估计累积风险,即危害指数(HI)、出发点指数(PODI)和毒性当量因子(TEF)。这些方法基于对ED(10)(出发点)的估计以及单个化学物质剂量反应函数中的参考剂量。它们并未纳入多种化学物质暴露所形成混合物的实际剂量反应函数。剂量相加被认为是累积风险评估的一种合适方法,因为它假定所关注的化学物质按照共同的作用模式(类似作用)起作用。本文提出一种正式的统计程序,通过在剂量相加的情况下拟合混合物的剂量反应模型来估计累积风险。两种化学物质之间的相对效力可直接从混合物的联合剂量反应模型中估计得出。使用一个代表四种化学物质的四种药物的示例数据集来说明所提出的程序,并将其与HI、PODI和TEF方法进行比较。

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