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An ignored risk factor in toxicology: The total imprecision of exposure assessment

机译:毒理学中一个被忽略的危险因素:暴露评估的总不准确性

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Quality assurance of exposure biomarkers usually focuses on laboratory performance only. Using data from a prospective birth cohort study in the Faroe Islands, we have assessed the total imprecision of exposure biomarkers. As biomarkers of prenatal methylmercury exposure, mercury concentrations were determined in cord blood, cord tissue, and maternal hair. We determined their mutual correlations and their associations with the child's neurobehavioral effect variables at age 7 years. The exposure biomarkers correlated well with one another, but the cord-blood mercury concentration showed the best associations with neurobehavioral deficits. Because at least three exposure parameters were available, factor analysis and structural equation modeling could be applied to determine the total imprecision of each biomarker. For the cord-blood parameter, the total imprecision was 25-30 %, and almost twice as much for maternal hair. The total imprecision of these biomarkers much exceeded the normal laboratory variability of less than 5 %. Such imprecision can cause underestimation of dose-related toxicity, and data analysis should therefore include sensitivity analyses that take this factor into account. Ignoring preanalytical imprecision may cause serious bias.
机译:暴露生物标志物的质量保证通常只关注实验室性能。使用来自法罗群岛的前瞻性出生队列研究的数据,我们评估了接触生物标志物的总不精确性。作为产前甲基汞暴露的生物标志物,可以测定脐带血,脐带组织和产妇头发中的汞浓度。我们确定了他们的相互关系以及与孩子7岁时的神经行为效应变量的关联。暴露的生物标志物相互之间具有很好的相关性,但是脐带血中的汞浓度显示出与神经行为缺陷的最佳关联。由于至少有三个暴露参数可用,因此可以应用因子分析和结构方程模型来确定每个生物标记物的总不精确度。对于脐带血参数,总不准确度为25-30%,几乎是产妇头发的两倍。这些生物标记物的总不精确度大大超过了正常实验室变异度的不到5%。这种不精确性可能会低估与剂量相关的毒性,因此,数据分析应包括考虑到这一因素的敏感性分析。忽略分析前的不精确性可能会导致严重的偏差。

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