引用本文: | 秦艳兰,陈忠礼,邵迎,贾茜,蔡祖艾,秦志豪,赵爽,夏娟,李彦.城区空气典型暴露人群肺结节与多环芳烃的关联研究[J].环境监控与预警,2025,17(1):8-13 |
| QIN Yanlan,CHEN Zhongli,SHAO Ying,JIA Qian,CAI Zu'ai,QIN Zhihao,ZHAO Shuang,XIA Juan,LI Yan.Study on the Association Between Pulmonary Nodules and Polycyclic Aromatic Hydrocarbons in Urban Populations with Typicalair Exposure[J].Environmental Monitoring and Forewarning,2025,17(1):8-13 |
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摘要: |
为探索重庆万州区城区空气典型暴露人群肺结节与空气中多环芳烃的关联,于2022年4月—2023年11月,征集了重庆市万州区40名交通警察进行问卷调查和血液样本采集,分析了23项生化指标,并开展了胸部低剂量CT(LDCT)检查。使用气相色谱-质谱联用仪(GC-MS)检测血清中16种多环芳烃。根据LDCT报告结果,将暴露人群分为有、无肺结节2组,比较2组人群的生化指标、血清多环芳烃浓度的差异。采用多因素Logistic回归分析确定与肺结节显著相关的多环芳烃种类。结果表明,40例参与研究人员中,检出肺结节29例(72.50%),其中孤立性肺结节5例(12.5%),多发性肺结节24例(60%);微小结节22例(55%),小结节7例(17.5%)。按照肺部影像报告和数据系统(LU-RADS)分类,检出2类结节12例(30%),3类结节16例(60%),4类结节1例(2.5%)。肺结节组血清中苊(Acenaphthene)、荧蒽(Fluoranthene)的浓度显著高于无肺结节组(p<0.05)。Logistic回归分析及稳健性分析结果均显示,血清荧蒽浓度升高显著增加了肺结节的发病风险(p<0.05)。 |
关键词: 环境空气 多环芳烃 肺结节 影响因素 |
DOI:DOI:10.3969/j.issn.1674-6732.2025.01.002 |
分类号:X503;R122.7 |
基金项目:重庆市万州区科卫联合医学科研项目重点项目(wzstc-kw2021003) |
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Study on the Association Between Pulmonary Nodules and Polycyclic Aromatic Hydrocarbons in Urban Populations with Typicalair Exposure |
QIN Yanlan1, CHEN Zhongli2, SHAO Ying2, JIA Qian1, CAI Zu'ai3, QIN Zhihao2, ZHAO Shuang1, XIA Juan1, LI Yan1*
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1.Department of Health Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China; 2. Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing 400030, China; 3. Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing 404000, China
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Abstract: |
To explore the association between pulmonary nodules and polycyclic aromatic hydrocarbons in individuals with typical air pollution exposure in Wanzhou District, Chongqing, a study was conducted from April 2022 to November 2023. 40 traffic police officers in Wanzhou District were recruited for questionnaire surveys and blood sample collection. 23 biochemical indicators were analyzed and a chest low-dose CT(LDCT) examination was performed. GC-MS was used to detect 16 types of polycyclic aromatic hydrocarbons in serum. Based on the LDCT results, the participants were divided into two groups: those with and without pulmonary nodules. The differences in biochemical indicators and serum PAH concentrations between the two groups were compared. Multivariate logistic regression analysis was used to determine the PAH types that were significantly associated with pulmonary nodules. Among the 40 participants in the study, 29 cases(72.50%) of pulmonary nodules were detected, including 5 cases(12.5%) of solitary pulmonary nodules, 24 cases(60%) of multiple pulmonary nodules, 22 cases of micronodules(55%), and 7 cases(17.5%) of small nodules. According to LU-RADS classification, 12 cases(30%) were classfied as type 2 nodules, 16 cases(60%) as type 3 nodules, and 1 case(2.5%) as type 4 nodules. The concentrations of acenaphthene and fluoranthene in the serum of the pulmonary nodule group were significantly higher than those of the non-pulmonary nodule group(p<0.05). Logistic regression analysis and robustness analysis revealed a significant positive correlation between that fluoranthene levels and the occurrence of pulmonary nodules(p<0.05). |
Key words: Ambient air Polycyclic aromatic hydrocarbons Pulmonary nodule Influencing factors |