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Predicting blood lead concentrations from lead in environmental media.

机译:根据环境介质中的铅预测血铅浓度。

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摘要

Policy statements providing health and environmental criteria for blood lead (PbB) often give recommendations on an acceptable distribution of PbB concentrations. Such statements may recommend distributions of PbB concentrations including an upper range (e.g., maximum and/or 90th percentile values) and central tendency (e.g., mean and/or 50th percentile) of the PbB distribution. Two major, and fundamentally dissimilar, methods to predict the distribution of PbB are currently in use: statistical analyses of epidemiologic data, and application of biokinetic models to environmental lead measurements to predict PbB. Although biokinetic models may include a parameter to predict contribution of lead from bone (PbBone), contemporary data based on chemical analyses of pediatric bone samples are rare. Dramatic decreases in environmental lead exposures over the past 15 years make questionable use of earlier data on PbBone concentrations to estimate a contribution of lead from bone; often used by physiologic modelers to predict PbB. X-ray fluorescent techniques estimating PbBone typically have an instrument-based quantitation limit that is too high for use with many young children. While these quantitation limits have improved during the late 1990s, PbBone estimates using an epidemiologic approach to describing these limits for general populations of children may generate values lower than the instrument's quantitation limit. Additional problems that occur if predicting PbB from environmental lead by biokinetic modeling include a) uncertainty regarding the fractional lead absorption by young children; b) questions of bioavailability of specific environmental sources of lead; and c) variability in fractional absorption values over a range of exposures. Additional sources of variability in lead exposures that affect predictions of PbB from models include differences in the prevalence of such child behaviors as intensity of hand-to-mouth activity and pica. In contrast with these sources of uncertainty and variability affecting physiologic modeling of PbB distributions, epidemiologic data reporting PbB values obtained by chemical analyses of blood samples avoid these problems but raise other issues about the validity of the representation of the subsample for the overall population of concern. State and local health department screening programs and/or medical evaluation of individual children provide PbB data that contribute to databases describing the impact of environmental sources on PbB. Overall, application of epidemiologic models involves fewer uncertainties and more readily reflects variability in PbB than does current state-of-the-art biokinetic modeling.
机译:提供血铅(PbB)健康和环境标准的政策声明经常就可接受的PbB浓度分布提出建议。此类陈述可能会建议PbB浓度的分布,包括PbB分布的上限(例如,最大和/或第90个百分位数)和集中趋势(例如,平均值和/或第50个百分位数)。目前正在使用两种主要的,根本不同的方法来预测PbB的分布:流行病学数据的统计分析,以及将生物动力学模型应用于环境铅测量以预测PbB的方法。尽管生物动力学模型可能包含预测骨中铅的贡献的参数(PbBone),但基于儿科骨样本化学分析的当代数据很少见。在过去的15年中,环境铅的暴露量急剧下降,这令人怀疑地使用了先前有关PbBone浓度的数据来估算骨骼中铅的贡献。生理建模人员通常使用它来预测PbB。估计PbBone的X射线荧光技术通常具有基于仪器的定量限,该限度对于许多幼儿而言太高了。尽管这些定量限在1990年代后期有所改善,但PbBone估计使用流行病学方法描述了针对一般儿童群体的这些限,其数值可能低于仪器的定量限。如果通过生物动力学模型从环境铅中预测PbB,还会出现其他问题,包括:a)幼儿对铅的吸收百分比的不确定性; b)特定环境铅源的生物利用度问题; c)在一系列暴露范围内吸收率分数的变化。影响模型预测PbB的铅暴露变异性的其他来源包括这种儿童行为的普遍性差异,如手到嘴活动强度和pica。与不确定性和变异性影响PbB分布生理模型的这些来源相反,报告通过血液样本化学分析获得的PbB值的流行病学数据避免了这些问题,但提出了其他问题,即子样本的表示对于整个关注人群的有效性。州和地方卫生部门的筛查计划和/或对单个儿童的医学评估提供了PbB数据,这些数据有助于描述环境资源对PbB的影响。总体而言,与当前最新的生物动力学模型相比,流行病学模型的应用涉及的不确定性更少,并且更容易反映PbB的可变性。

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