张瑜鸿, 顾勇, 吴青珊, 甘小芳, 林莉, 张转姑. 海南省200例放射工作人员外周血淋巴细胞染色体畸变高危因素分析[J]. 上海预防医学, 2023, 35(7): 674-678. DOI: 10.19428/j.cnki.sjpm.2023.22668
引用本文: 张瑜鸿, 顾勇, 吴青珊, 甘小芳, 林莉, 张转姑. 海南省200例放射工作人员外周血淋巴细胞染色体畸变高危因素分析[J]. 上海预防医学, 2023, 35(7): 674-678. DOI: 10.19428/j.cnki.sjpm.2023.22668
ZHANG Yuhong, GU Yong, WU Qingshan, GAN Xiaofang, LIN Li, ZHANG Zhuangu. Analysis of high risk factors for chromosomal aberrations in peripheral blood lymphocytes of 200 radiation workers in Hainan Province[J]. Shanghai Journal of Preventive Medicine, 2023, 35(7): 674-678. DOI: 10.19428/j.cnki.sjpm.2023.22668
Citation: ZHANG Yuhong, GU Yong, WU Qingshan, GAN Xiaofang, LIN Li, ZHANG Zhuangu. Analysis of high risk factors for chromosomal aberrations in peripheral blood lymphocytes of 200 radiation workers in Hainan Province[J]. Shanghai Journal of Preventive Medicine, 2023, 35(7): 674-678. DOI: 10.19428/j.cnki.sjpm.2023.22668

海南省200例放射工作人员外周血淋巴细胞染色体畸变高危因素分析

Analysis of high risk factors for chromosomal aberrations in peripheral blood lymphocytes of 200 radiation workers in Hainan Province

  • 摘要:
    目的 分析海南省放射工作人员外周血淋巴细胞(PBL)染色体畸变现状及高危因素。
    方法 选取2022年1—5月海南省中医院 200名放射工作人员,收集研究对象职业健康体检资料,统计PBL染色体畸变率,通过多因素logistic回归模型分析放射工作人员PBL染色体畸变的影响因素,采用受试者操作特征曲线(ROC)评价logistic回归预测模型对放射工作人员PBL染色体畸变的预测价值。
    结果 共收集和分析检测20 000个细胞(100个细胞/人),染色体畸变率为0.37%(74/20 000),放射工作人员PBL染色体异常率为6.00%(12/200)。单因素分析显示,放射工作人员PBL染色体畸变与年龄、工龄、工种及文化程度有关(均P<0.05),与性别无关(P>0.05)。根据影响因素构建logistic回归预测模型,提示模型拟合效果较好(χ2=9.413,df=9,P=0.852);多因素logistic回归预测模型预测放射工作人员发生PBL染色体畸变的曲线下面积(AUC)为0.914(95%CI:0.866~0.949),当截断值为3.05时,对应预测放射工作人员发生PBL染色体畸变的灵敏度及特异度分别为100.00%、75.98%。
    结论 年龄、工龄、工种均为放射工作人员PBL染色体畸变的高危因素,文化程度为保护因素,通过上述因素构建的预测模型能为临床预测放射工作人员发生PBL染色体畸变提供可靠依据。

     

    Abstract:
    Objective To investigate the current status and high-risk factors of chromosomal aberrations in peripheral blood lymphocytes (PBL) of radiation workers in Hainan Province.
    Methods A total of 200 radiological workers who underwent occupational health examination in Hainan Provincial Hospital of Traditional Chinese Medicine from January 2021 to December 2021 were selected to collect the occupational health examination data and the rate of PBL chromosomal aberrations. The influencing factors of PBL chromosomal aberrations were analyzed by logistic regression model. The predictive value of logistic regression prediction model on PBL chromosomal aberrations were determined by using the reciver operator characteristic (ROC) curve.
    Results A total of 20 000 cells (100 cells/person) were tested. The chromosomal aberration rate was 0.37% (74/20 000) and the PBL chromosomal aberration rate in the subjects was 6.00% (12/200). Univariate analysis showed that PBL chromosomal aberrations in radiological workers were related to age, length of service, type of work and education (all P<0.05), but not to gender (P>0.05). The logistic regression prediction model was constructed based on the influencing factors, with χ2=9.413, df=9, P=0.852, suggesting a good model fit. The logistic regression prediction model predicted the area under the curve (AUC) for the occurrence of PBL chromosomal aberrations in radiation workers was 0.914 (95%CI: 0.866‒0.949), with a cut-off value of 3.05, corresponding to a prediction sensitivity and specificity of 100.00% and 75.98%, respectively.
    Conclusion The incidence of PBL chromosomal aberrations in radiological workers in Hainan Province was 6.00%, with age, working age and job type as high-risk factors and education level as a protective factor. The prediction model constructed by the above factors can provide a reliable basis for clinical prediction of PBL chromosomal aberrations in radiological workers.

     

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