ISGlobal, Barcelona, Spain.
IDIAPJGol, Barcelona, Spain.
Res Rep Health Eff Inst. 2024 Sep;2024(220):1-48.
Evidence from epidemiological studies based on individual-level data indicates that air pollution may be associated with coronavirus disease 2019 (COVID-19) severity. We aimed to test whether (1) long-term exposure to air pollution is associated with COVID-19-related hospital admission or mortality in the general population; (2) short-term exposure to air pollution is associated with COVID-19-related hospital admission following COVID-19 diagnosis; (3) there are vulnerable population subgroups; and (4) the influence of long-term air pollution exposure on COVID-19-related hospital admissions differed from that for other respiratory infections.
We constructed a cohort covering nearly the full population of Catalonia through registry linkage, with follow- up from January 1, 2015, to December 31, 2020. Exposures at residential addresses were estimated using newly developed spatiotemporal models of nitrogen dioxide (NO), particulate matter ≤2.5 μm in aerodynamic diameter (PM), particulate matter ≤10 μm in aerodynamic diameter (PM), and maximum 8-hr-average ozone (O) at a spatial resolution of 250 m for the period 2018-2020.
The general population cohort included 4,660,502 individuals; in 2020 there were 340,608 COVID-19 diagnoses, 47,174 COVID-19-related hospital admissions, and 10,001 COVID-19 deaths. Mean (standard deviation) annual exposures were 26.2 (10.3) μg/m for NO, 13.8 (2.2) μg/m for PM, and 91.6 (8.2) μg/m for O. In Aim 1, an increase of 16.1 μg/m NO was associated with a 25% (95% confidence interval [CI]: 22%-29%) increase in hospitalizations and an 18% (10%-27%) increase in deaths. In Aim 2, cumulative air pollution exposure over the previous 7 days was positively associated with COVID-19-related hospital admission in the second pandemic wave (June 20 to December 31, 2020). Associations of exposure were driven by exposure on the day of the hospital admission (lag0). Associations between short-term exposure to air pollution and COVID-19-related hospital admission were similar in all population subgroups. In Aim 3, individuals with lower individual- and area-level socioeconomic status (SES) were identified as particularly vulnerable to the effects of long-term exposure to NO and PM on COVID-19-related hospital admission. In Aim 4, long-term exposure to air pollution was associated with hospital admission for influenza and pneumonia: (6%; 95% CI: 2-11 per 16.4-μg/m NO and 5%; 1-8 per 2.6-μg/m PM) as well as for all lower respiratory infections (LRIs) (18%; 14-22 per 16.4-μg/m NO and 14%; 11-17 per 2.6-μg/m PM) before the COVID-19 pandemic. Associations for COVID-19-related hospital admission were larger than those for influenza or pneumonia for NO, PM, and O when adjusted for NO.
Linkage across several registries allowed the construction of a large population-based cohort, tracking COVID-19 cases from primary care and testing data to hospital admissions, and death. Long- and short-term exposure to ambient air pollution were positively associated with severe COVID-19 events. The effects of long-term air pollution exposure on COVID-19 severity were greater among those with lower individual- and area-level SES.
基于个体水平数据的流行病学研究证据表明,空气污染可能与 2019 年冠状病毒病(COVID-19)的严重程度有关。我们旨在检验以下假设:(1)长期暴露于空气污染与一般人群中 COVID-19 相关的住院或死亡有关;(2)COVID-19 确诊后短期暴露于空气污染与 COVID-19 相关的住院有关;(3)存在易受感染的人群亚组;(4)长期空气污染暴露对 COVID-19 相关住院的影响与其他呼吸道感染不同。
我们通过注册链接构建了一个几乎涵盖加泰罗尼亚全部人口的队列,从 2015 年 1 月 1 日至 2020 年 12 月 31 日进行随访。使用新开发的 2018-2020 年二氧化氮(NO)、空气动力学直径≤2.5μm 的颗粒物(PM)、空气动力学直径≤10μm 的颗粒物(PM)和最大 8 小时平均臭氧(O)的时空模型估算居住地址的暴露情况,空间分辨率为 250m。
一般人群队列包括 4660502 人;2020 年有 340608 例 COVID-19 诊断、47174 例 COVID-19 相关住院和 10001 例 COVID-19 死亡。每年平均(标准差)暴露量为 26.2(10.3)μg/m3 的 NO、13.8(2.2)μg/m3 的 PM 和 91.6(8.2)μg/m3 的 O。在目标 1 中,NO 增加 16.1μg/m3 与住院率增加 25%(95%置信区间[CI]:22%-29%)和死亡率增加 18%(10%-27%)有关。在目标 2 中,COVID-19 大流行第二波(2020 年 6 月 20 日至 12 月 31 日)之前 7 天的累积空气污染暴露与 COVID-19 相关的住院呈正相关。暴露的相关性是由入院当天的暴露(滞后 0)驱动的。短期暴露于空气污染与 COVID-19 相关住院之间的关联在所有人群亚组中相似。在目标 3 中,个人和地区层面社会经济地位(SES)较低的个体被确定为特别容易受到长期暴露于 NO 和 PM 对 COVID-19 相关住院的影响。在目标 4 中,长期暴露于空气污染与流感和肺炎相关的住院有关:(6%;95%CI:2-11 每 16.4-μg/m3 的 NO 和 5%;每 2.6-μg/m3 的 PM1-8)以及所有下呼吸道感染(LRIs)(18%;每 16.4-μg/m3 的 NO 为 14-22,每 2.6-μg/m3 的 PM 为 14-17)在 COVID-19 大流行之前。当调整为 NO 时,与 COVID-19 相关的住院的相关性大于与流感或肺炎的相关性,无论是 NO、PM 还是 O。
通过几个登记处的联系,我们构建了一个大型基于人群的队列,从初级保健和检测数据到住院和死亡,对 COVID-19 病例进行了跟踪。长期和短期暴露于环境空气污染与严重的 COVID-19 事件呈正相关。空气污染长期暴露对 COVID-19 严重程度的影响在个体和地区社会经济地位较低的人群中更大。