| 交通来源大气污染对慢性阻塞性肺部疾病患者呼吸道氧化应激和炎性反应的影响 |
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| 引用本文： | 孙娴雯, 叶晓芳, 陈培莉, 任蕾, 彭丽, 梁丽, 顾文超, 李庆云. 上海地区PM2.5致慢性阻塞性肺疾病急性加重的影响因素[J]. 上海预防医学, 2017, 29(11): 842-846, 856. DOI: 10.19428/j.cnki.sjpm.2017.11.005 |
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| 作者姓名： | 孙娴雯 叶晓芳 陈培莉 任蕾 彭丽 梁丽 顾文超 李庆云 |
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| 作者单位： | 1.上海市交通大学医学院附属瑞金医院呼吸与危重症医学科，上海 200025;2.上海市气象与健康重点实验室，上海 200030;3.上海市静安区老年医院呼吸科，上海 200040;4.上海交通大学医学院附属第九人民医院呼吸科，上海 200011;5.上海市浦东新区人民医院呼吸科，上海 201200 |
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| 基金项目： | 上海市科学技术委员会科研计划项目(14411950900);上海市气象与健康重点实验室开放基金课题(QXJK201403);上海市卫生和计划生育委科研课题计划项目(20144Y0183);上海交通大学“医工交叉研究基金”(YG 2014QN15)；上海市重中之重临床重点学科建设项目(20172202014) |
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| 摘 要： | 目的探讨慢性阻塞性肺疾病急性加重(AECOPD)发病与患者临床特征和居住环境的关系。方法纳入自2015年1月—2016年6月间就诊的AECOPD患者352例，分析其居住环境和PM2.5浓度与AECOPD的相关性。结果PM2.5浓度越高，AECOPD发生次数越多，人均居住面积与马路街道的距离均与AECOPD相关。对纳入临床与居住因素行logistic多因素回归分析获得预警公式。结论高浓度PM2.5暴露是AECOPD的重要诱因，与居住因素等相关。预警公式的设立对AECOPD预测和防控具有重要意义。
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| 关 键 词： | 慢性阻塞性肺疾病 急性加重 空气污染 PM2.5 |
| 收稿时间： | 2017-08-30 |
Particulate matter (PM2.5) exposure season-dependently induces neuronal apoptosis and synaptic injuries |
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| Xian-wen SUN, Xiao-fang YE, Pei-li CHEN, Lei REN, Li PENG, Li LIANG, Wen-chao GU, Qing-yun LI. Multivariate factors affect the influence of PM2.5 on acute exacerbation of COPD in Shanghai[J]. Shanghai Journal of Preventive Medicine, 2017, 29(11): 842-846, 856. DOI: 10.19428/j.cnki.sjpm.2017.11.005 |
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| Authors: | Xian-wen SUN Xiao-fang YE Pei-li CHEN Lei REN Li PENG Li LIANG Wen-chao GU Qing-yun LI |
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| Affiliation: | 1.Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China |
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| Abstract: | ObjectiveTo explore the relationship between acute exacerbation of COPD(AECOPD) and their clinical and living environment.MethodsA total of 352 AECOPD patients were enrolled in the study. The co-relationship between PM2.5 concentration, clinical and living environment and AECOPD occurrence were analyzed.ResultsThe higher PM2.5 concentration, the more AECOPD episodes occurred, which were related with clinical factors including age, sex, BMI, smoking history, FEV1% and living environment including average living space, building floor and distance to main road. Clinical and living factors were analyzed by using multivariate logistic regression to form a predictive model.ConclusionsExposure to high concentration of PM2.5 increases the risk of developing AECOPD. The predictive model is expected to improve the early prevention of AECOPD. |
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| Keywords: | chronic obstructive pulmonary disease acute exacerbation air pollution particulate matter 2.5 |
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