Mahaffey K R
National Center for Environmental Assessment, U.S. Environmental Protection Agency, Washington, DC, USA.
Environ Health Perspect. 1998 Dec;106 Suppl 6(Suppl 6):1485-93. doi: 10.1289/ehp.98106s61485.
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.
提供血铅(PbB)健康和环境标准的政策声明通常会给出关于可接受的PbB浓度分布的建议。此类声明可能会推荐PbB浓度的分布,包括上限范围(例如最大值和/或第90百分位数)以及PbB分布的中心趋势(例如均值和/或第50百分位数)。目前正在使用两种主要且根本不同的预测PbB分布的方法:对流行病学数据进行统计分析,以及将生物动力学模型应用于环境铅测量以预测PbB。尽管生物动力学模型可能包括一个预测骨铅(PbBone)贡献的参数,但基于儿科骨样本化学分析的当代数据很少。在过去15年中,环境铅暴露大幅下降,使得利用早期的PbBone浓度数据来估计骨铅贡献变得可疑;生理模型构建者经常使用这些数据来预测PbB。估计PbBone的X射线荧光技术通常具有基于仪器的定量限,对于许多幼儿来说过高而无法使用。虽然这些定量限在20世纪90年代后期有所改善,但使用流行病学方法描述儿童总体人群的这些限来估计PbBone可能会产生低于仪器定量限的值。如果通过生物动力学模型从环境铅预测PbB还会出现其他问题,包括:a)幼儿铅吸收分数的不确定性;b)特定环境铅源的生物有效性问题;以及c)一系列暴露情况下吸收分数值的变异性。影响从模型预测PbB的铅暴露变异性的其他来源包括诸如手口活动强度和异食癖等儿童行为发生率的差异。与影响PbB分布生理模型构建的这些不确定性和变异性来源相比,报告通过血样化学分析获得的PbB值的流行病学数据避免了这些问题,但引发了关于所关注总体人群子样本代表性有效性的其他问题。州和地方卫生部门的筛查计划和/或对个别儿童的医学评估提供了有助于描述环境源对PbB影响的数据库的PbB数据。总体而言,与当前最先进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,并且更能反映PbB的变异性。