基于已发表的流行病学资料评价肺癌死亡率与职业接触六价铬的暴露-反应关系。

Edwin van Wijngaarden, Kenneth A Mundt, Rose S Luippold
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引用次数: 8

摘要

一些人提出了接触六价铬(Cr(VI))致癌性的阈值机制。基于最近发表的两项流行病学队列研究的结果,我们评估了职业暴露于Cr(VI)和呼吸道癌症之间的暴露-反应关系的性质。在1940年至1974年间,美国两家铬酸盐生产厂总共雇佣了2849名工人。肺癌的标准化死亡率(SMRs)与累积铬(六)暴露类别相关,使用区域死亡率进行报告。线性加性和乘法相对风险回归模型适合于个体和联合研究的smr。两个模型都能很好地拟合个体研究的数据;然而,对于合并后的数据来说,这种拟合有些不够充分。从乘法相对风险模型获得的斜率估计的meta分析显示,两项流行病学研究之间存在实质性的异质性。总之,这些数据表明,线性剂量反应较好地描述了Cr(VI)与肺癌之间的关系,因此这些分析不一定支持Cr(VI)肺致癌性的阈值假设。然而,在解释这些结果时,必须认识到在评价非线性暴露-反应模式时使用流行病学数据的局限性。
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Evaluation of the exposure-response relationship of lung cancer mortality and occupational exposure to hexavalent chromium based on published epidemiological data.

Some have suggested a threshold mechanism for the carcinogenicity of exposure to hexavalent chromium, Cr(VI). We evaluated the nature of the exposure-response relationship between occupational exposure to Cr(VI) and respiratory cancer based on results of two recently published epidemiological cohort studies. The combined cohort comprised a total of 2,849 workers employed at two U.S. chromate production plants between 1940 and 1974. Standardized mortality ratios (SMRs) for lung cancer in relation to cumulative Cr(VI) exposure categories were reported using regional mortality rates. Linear additive and multiplicative relative risk regression models were fit to the SMRs of the individual and combined studies. Both models fit the data from the individual studies reasonably well; however, the fit was somewhat less adequate for the pooled data. Meta-analysis of the slope estimates obtained from the multiplicative relative risk model showed substantial heterogeneity between the two epidemiological studies. In conclusion, these data indicate that a linear dose response describes the relationship between Cr(VI) and lung cancer reasonably well, and therefore these analyses do not necessarily support the threshold hypothesis for the lung carcinogenicity of Cr(VI). However, these results must be interpreted with recognition of the limitations of the use of epidemiological data in the evaluation of nonlinear exposure-response patterns.

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