Rushton L, Romaniuk H
Department of Public Health Medicine and Epidemiology, University of Nottingham, Queen's Medical Centre.
Occup Environ Med. 1997 Mar;54(3):152-66. doi: 10.1136/oem.54.3.152.
To investigate the risk of leukaemia in workers in the petroleum distribution industry who were exposed to low levels of benzene.
From the cohort of distribution workers, 91 cases were identified as having leukaemia on either a death certificate or on cancer registration. These cases were compared with controls (four per case) randomly selected from the cohort, who were from the same company as the respective case, matched for age, and alive and under follow up at the time of case occurrence. Work histories were collected for the cases and controls, together with information about the terminals at which they had worked, fuel compositions, and occupational hygiene measurements of benzene. These data were used to derive quantitative estimates of personal exposure to benzene. Odds ratios (OR) were calculated conditional on the matching, to identify those variables in the study which were associated with risk of leukaemia. Examination of the potential effects of confounding and other variables was carried out with conditional logistic regression. Analyses were carried out for all leukaemia and separately for acute lymphoblastic, chronic lymphocytic, acute myeloid and monocytic, and chronic myeloid leukaemias.
There was no significant increase in the overall risk of all leukaemias with higher cumulative exposure to benzene or with intensity of exposure, but risk was consistently doubled in subjects employed in the industry for > 10 years. Acute lymphoblastic leukaemia tended to occur in workers employed after 1950, who started work after the age of 30, worked for a short duration, and experienced low cumulative exposure with few peaks. The ORs did not increase with increasing cumulative exposure. The risk of chronic lymphocytic leukaemia seemed to be related most closely to duration of employment and the highest risk occurred in white collar workers with long service. These workers had only background levels of benzene exposure. There was no evidence of an association of risk with any exposure variables, and no evidence of an increasing risk with increasing cumulative exposure, mean intensity, or maximum intensity of exposure. The patterns of risk for acute myeloid and monocytic leukaemia were different from those of the lymphoid subgroups, in which duration of employment was the variable most closely related to risk. Risk was increased to an OR of 2.8 (95% confidence interval (95% CI) 0.8 to 9.4) for a cumulative exposure between 4.5 and 45 ppm-years compared with < 0.45 ppm-years. For mean intensity between 0.2 and 0.4 ppm an OR of 2.8 (95% CI 0.9 to 8.5) was found compared with < 0.02 ppm. Risk did not increase with cumulative exposure, maximum intensity, or mean intensity of exposure when treated as continuous variables. Cases of acute myeloid and monocytic leukaemia were more often classified as having peaked exposures than controls, and when variables characterising peaks, particularly daily and weekly peaks, were included in the analysis these tended to dominate the other exposure variables. However, because of the small numbers it is not possible to distinguish the relative influence of peaked and unpeaked exposures on risk of acute myeloid and monocytic leukaemia. There was no evidence of an increased risk of chronic myeloid leukaemia with increases in cumulative exposure, maximum intensity, mean intensity, and duration of employment, either as continuous or categorical variables. Analyses exploring the sensitivity of the results to the source and quality of the work histories showed similar patterns in general. However, no increases in ORs for categories of cumulative exposure were found for acute myeloid and monocytic leukaemia in the data set which included work histories obtained from personnel records still in existence, although numbers were reduced. Analyses excluding the last five and 10 years of exposure showed a tendency for ORs to reduce for chronic lymphocytic leukaemia and chronic myeloid leukaemia, and to increase for acute myeloid and monocytic leukaemia. Limitations of the study include uncertainties and gaps in the information collected, and small numbers in subcategories of exposure which can lead to wide CIs around the risk estimates and poor fit of the mathematical models.
There is no evidence in this study of an association between exposure to benzene and lymphoid leukaemia, either acute or chronic. There is some suggestion of a relation between exposure to benzene and myeloid leukaemia, in particular for acute myeloid and monocytic leukaemia. Peaked exposures seemed to be experienced for this disease. However, in view of the limitations of the study, doubt remains as to whether the risk of acute myeloid and monocytic leukaemia is increased by cumulative exposures of < 45 ppm-years. Further work is recommended to review the work histories and redefine their quality, to explore the discrepancies between results for categorical and continuous variables, and to develop ranges around the expose estimates to enable further sensitivity analyses to be carried out.
调查接触低水平苯的石油分销行业工人患白血病的风险。
在分销工人队列中,通过死亡证明或癌症登记确定91例白血病患者。将这些病例与从队列中随机选取的对照组(每个病例对应4个对照)进行比较,对照组与相应病例来自同一家公司,年龄匹配,在病例发生时存活且处于随访中。收集病例和对照的工作史,以及他们工作过的终端、燃料成分和苯的职业卫生测量信息。这些数据用于得出个人接触苯的定量估计值。计算匹配条件下的比值比(OR),以确定研究中与白血病风险相关的变量。使用条件逻辑回归对混杂因素和其他变量的潜在影响进行检验。对所有白血病进行分析,并分别对急性淋巴细胞白血病、慢性淋巴细胞白血病、急性髓细胞和单核细胞白血病以及慢性髓细胞白血病进行分析。
总体而言,随着苯累积暴露量增加或暴露强度增加,所有白血病的总体风险没有显著增加,但在该行业工作超过10年的受试者中,风险始终翻倍。急性淋巴细胞白血病倾向于发生在1950年后就业的工人中,这些工人30岁后开始工作,工作时间短,累积暴露量低且峰值少。OR值并未随着累积暴露量的增加而增加。慢性淋巴细胞白血病的风险似乎与就业时间关系最为密切,风险最高的是服务年限长的白领工人。这些工人的苯暴露仅处于背景水平。没有证据表明风险与任何暴露变量相关,也没有证据表明随着累积暴露量、平均暴露强度或最大暴露强度的增加风险会增加。急性髓细胞和单核细胞白血病的风险模式与淋巴亚组不同,在淋巴亚组中,就业时间是与风险关系最密切的变量。与累积暴露量<0.45 ppm - 年相比,累积暴露量在4.5至45 ppm - 年之间时,风险增加至OR为2.8(95%置信区间(95%CI)0.8至9.4)。与平均暴露强度<0.02 ppm相比,平均暴露强度在0.2至0.4 ppm时,OR为2.8(95%CI 0.9至8.5)。当将累积暴露量、最大暴露强度或平均暴露强度视为连续变量时,风险并未随着这些变量的增加而增加。急性髓细胞和单核细胞白血病病例比对照组更常被归类为有暴露峰值,当将表征峰值的变量(特别是每日和每周峰值)纳入分析时,这些变量往往主导其他暴露变量。然而,由于样本量小,无法区分峰值暴露和非峰值暴露对急性髓细胞和单核细胞白血病风险的相对影响。没有证据表明随着累积暴露量、最大暴露强度、平均暴露强度和就业时间的增加(无论是作为连续变量还是分类变量),慢性髓细胞白血病的风险会增加。探索结果对工作史来源和质量敏感性的分析总体上显示出类似模式。然而,在包含从仍存在的人事记录中获取工作史的数据集中,急性髓细胞和单核细胞白血病的累积暴露类别中未发现OR值增加,尽管样本量减少了。排除最后5年和10年暴露的分析显示,慢性淋巴细胞白血病和慢性髓细胞白血病的OR值有降低趋势,而急性髓细胞和单核细胞白血病的OR值有增加趋势。该研究的局限性包括所收集信息的不确定性和差距,以及暴露亚类中的样本量小,这可能导致风险估计值周围的置信区间较宽,且数学模型的拟合度较差。
本研究没有证据表明苯暴露与急性或慢性淋巴细胞白血病之间存在关联。有一些迹象表明苯暴露与髓细胞白血病之间存在关系,特别是急性髓细胞和单核细胞白血病。这种疾病似乎经历了峰值暴露。然而,鉴于该研究的局限性,对于累积暴露量<45 ppm - 年是否会增加急性髓细胞和单核细胞白血病的风险仍存在疑问。建议进一步开展工作,审查工作史并重新定义其质量,探索分类变量和连续变量结果之间的差异,并围绕暴露估计值制定范围,以便能够进行进一步的敏感性分析。