2023—2024年安庆市空气污染物暴露与COPD患者急性期发病的关联性研究

    Association between ambient pollutant exposure and acute exacerbations of COPD in Anqing, China, 2023—2024

    • 摘要:
      目的 探究安徽省安庆市慢性阻塞性肺疾病(chronic obstructive pulmonary disease, COPD)患者急性期发病与细颗粒物(fine particulate matter, PM2.5)等空气污染物暴露的关系。
      方法 从医院信息管理系统选取2023年1月—2024年12月安徽省安庆市立医院收治的380例COPD急性期发病患者临床资料, 分析病例资料、患者急性期发病入院情况和同期PM2.5等空气污染物监测数据, 采用Spearman秩相关分析日均PM2.5等空气污染物与COPD患者急性期发病次数及临床指标的变化关系, 采用广义相加模型(generalized addictive model, GAM)分析PM2.5对COPD患者急性期发病风险的影响及滞后效应。
      结果 2023—2024年, 安庆市PM2.5日均质量浓度M为28 μg/m3。相关性分析结果显示, PM2.5与COPD发病人次(rs=0.452, P < 0.01)、FVC(rs=0.306, P < 0.01)、FEV1(rs=0.378, P < 0.01)均呈正相关关系。GAM模型分析结果显示, PM2.5暴露对COPD发病风险的在暴露当天(lag 0 d)为最大值, PM2.5质量浓度每升高10 μg/m3, COPD发病总人次和男性患者增加的超额危险值(excess risks, ER)和相应的95%置信区间(confidence intervals, CI)分别为2.78%(0.29%, 5.14%)和3.21%(0.68%, 5.77%); 累积滞后效应中, PM2.5在lag01~05 d均存在显著影响(P < 0.05), lag05 d时COPD发病总人次和lag04 d时男性患者增加的超额危险值最大, ER(95%CI)分别为5.20%(2.51%, 10.12%)和5.92%(2.01%, 9.74%), lag03 d时女性患者增加的超额危险值最大, ER(95%CI)为4.37%(0.72%, 8.09%)。双污染物模型分别引入SO2、CO、O3-8h、NO2和PM10后, COPD发病人次增加的ER(95%CI)值分别为2.92%(0.28%, 5.57%)、5.00%(2.29%, 7.71%)、3.99%(1.46%, 6.52%)、3.20%(0.75%, 5.65%)和1.85%(0.12%, 3.58%); 多污染物模型中同时引入CO和O3-8 h后分析结果显示, COPD发病人次增加的ER(95%CI)值为4.95%(1.88%, 8.02%)。
      结论 安徽省安庆市PM2.5等空气污染物质量浓度增加与COPD患者急性期发病人次数增加存在关联, 存在一定时间滞后效应。

       

      Abstract:
      Objective To investigate the relationship between acute exacerbation of chronic obstructive pulmonary disease (COPD) and exposure to air pollutants, including fine particulate matter (PM2.5), in Anqing, Anhui province, China.
      Methods The clinical data of 380 patients with acute exacerbation of COPD who were admitted to Anqing Municipal Hospital in Anhui province from January 2023 to December 2024 were selected from the hospital information system. Patient data, admissions for acute exacerbations, and contemporary monitoring data for air pollutants including PM2.5 were analyzed. Spearman rank correlation analysis was used to examine the relationship of daily mean concentrations of air pollutants (such as PM2.5) with the number of acute exacerbations of COPD and changes in clinical indicators. A generalized additive model (GAM) was used to analyze the effects of PM2.5 on the risk of acute exacerbations in patients with COPD and its lag effect.
      Results From 2023 to 2024, the daily median mass concentration of PM2.5 in Anqing was 28 μg/m3. Correlation analysis showed that PM2.5 was positively correlated with the number of COPD-induced admissions (rs=0.452, P < 0.01), FVC (rs=0.306, P < 0.01), and FEV1 (rs=0.378, P < 0.01). GAM analysis revealed that the risk of COPD-induced admissions associated with PM2.5 exposure peaked on the same day of exposure (lag0 d). For each 10 μg/m3 increase in PM2.5 concentration, the excess risks (ER) and 95% confidence intervals (CI) for total COPD admissions and male patient admissions were 2.78% (0.29%, 5.14%) and 3.21% (0.68%, 5.77%), respectively. Significant cumulative lag effects were observed from lag01 d to lag05 d (P < 0.05). The maximum ER for total COPD-induced admissions and male admissions occurred at lag05 d and lag04 d, with ER (95% CI) of 5.20% (2.51%, 10.12%) and 5.92% (2.01%, 9.74%), respectively. The maximum ER for female admissions occurred at lag03 d, with an ER (95% CI) of 4.37% (0.72%, 8.09%). In two-pollutant models adjusted for SO2, CO, O3-8 h, NO2, and PM10, the ER (95% CI) for COPD-induced admissions were 2.92% (0.28%, 5.57%), 5.00% (2.29%, 7.71%), 3.99% (1.46%, 6.52%), 3.20% (0.75%, 5.65%), and 1.85% (0.12%, 3.58%), respectively. In the multi-pollutant model simultaneously adjusted for CO and O3-8 h, the ER (95% CI) for COPD-induced admissions was 4.95% (1.88%, 8.02%).
      Conclusion Increased mass concentrations of air pollutants, particularly PM2.5, in Anqing, Anhui province, are associated with an increased number of patients with acute exacerbations of COPD, exhibiting some time-lag effect.

       

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