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
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
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
Citation: 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

上海地区PM2.5致慢性阻塞性肺疾病急性加重的影响因素

Multivariate factors affect the influence of PM2.5 on acute exacerbation of COPD in Shanghai

  • 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。

     

    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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