Dong Jiyuan, You Jianhua, Wang Jiancheng, Bao Hairong
School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Gansu Provincial Hospital, Lanzhou, 730050, People's Republic of China.
Environ Geochem Health. 2023 May;45(5):2495-2509. doi: 10.1007/s10653-022-01363-0. Epub 2022 Aug 25.
Evidence between air pollution and hospital visits for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is inconsistent and limited in China. In this study, we constructed a time-series study to evaluate the association between air pollution and AECOPD outpatient visits. Daily hospital outpatient visits for AECOPD in three top level hospitals in Lanzhou from January 2013 to December 2019, as well as the air pollutants and meteorological data in the same period, were collected. Then, generalized additive models with quasi-Poisson regression were utilized to estimate the associations with single-day lags from lag0 to lag7 and cumulative-day lag from lag01 to lag07. For example, lag0 referred to the concentration of air pollutants at the current day and lag1 referred to the previous-day air pollutant concentration and so on. Lag01 meant the average concentration of air pollutants at the current and previous day, and lag07 corresponded to the eight-day moving average value of the current and previous 7 days. In addition, stratified analyses were performed by gender, age, and season. The risk estimates were expressed in terms of the percentage changes (PC) in AECOPD outpatient visits per 10 µg/m increment of air pollutants (except that CO was per 1 mg/m) and their respective 95% confidence intervals (CIs). The strongest effect on AECOPD morbidity was found lag07 for PM (PC = 1.96, 95% CI 1.07, 2.86 per 10 μg/m), lag03 for PM (PC = 0.25, 95% CI 0.01, 0.49 per 10 μg/m), lag05 for SO (PC = 1.67, 95% CI 0.54, 3.93 per 10 μg/m), and lag03 for NO (PC = 1.37, 95% CI 0.25, 2.51 per 10 μg/m). No significant association of O and CO with AECOPD onset was found. In the subgroup analyses, the associations of PM and SO were more pronounced on males than female, the patients aged < 65 years were more vulnerable to PM and NO, but 65-74 years old were more vulnerable to PM, SO, and NO. Patients aged ≥ 75 years suffered more from PM, PM, and SO. The associations between PM, PM, SO, NO, and AECOPD outpatients were stronger in the cold season than those in the hot season. From exposure-response curves, we observe linear relationships of PM, SO, NO, O8h, and CO with hospital outpatient visits for AECOPD. The increase in PM, PM, SO, and NO concentration will lead to an increase in the number of outpatient visits for AECOPD and have different influence patterns in different genders, ages, and seasons.
在中国,空气污染与慢性阻塞性肺疾病急性加重(AECOPD)导致的医院就诊之间的证据并不一致且有限。在本研究中,我们构建了一项时间序列研究,以评估空气污染与AECOPD门诊就诊之间的关联。收集了2013年1月至2019年12月兰州三家顶级医院AECOPD的每日医院门诊就诊情况,以及同期的空气污染物和气象数据。然后,利用具有准泊松回归的广义相加模型来估计从滞后0到滞后7的单日滞后以及从滞后01到滞后07的累积日滞后的关联。例如,滞后0指当日空气污染物浓度,滞后1指前一日空气污染物浓度,依此类推。滞后01指当日和前一日空气污染物的平均浓度,滞后07对应于当日和前7天的八天移动平均值。此外,还按性别、年龄和季节进行了分层分析。风险估计以每增加10μg/m空气污染物(CO除外,CO为每增加1mg/m)时AECOPD门诊就诊的百分比变化(PC)及其各自的95%置信区间(CI)表示。发现对AECOPD发病率影响最强的是:PM的滞后07(每10μg/m,PC = 1.96,95% CI 1.07,2.86)、PM的滞后03(每10μg/m,PC = 0.25,95% CI 0.01,0.49)、SO的滞后05(每10μg/m,PC = 1.67,95% CI 0.54,3.93)和NO的滞后03(每10μg/m,PC = 1.37,95% CI 0.25,2.51)。未发现O和CO与AECOPD发病有显著关联。在亚组分析中,PM和SO对男性的关联比对女性更明显,年龄<65岁的患者更容易受到PM和NO的影响,但65 - 74岁的患者更容易受到PM、SO和NO的影响。年龄≥75岁的患者受PM、PM和SO的影响更大。寒冷季节PM、PM、SO、NO与AECOPD门诊患者之间的关联比炎热季节更强。从暴露 - 反应曲线可以看出,PM、SO、NO、O8h和CO与AECOPD医院门诊就诊之间存在线性关系。PM、PM、SO和NO浓度的增加将导致AECOPD门诊就诊人数增加,并且在不同性别、年龄和季节有不同的影响模式。