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德国的空气质量是导致 COVID-19 发病的一个因素。

Air quality in Germany as a contributing factor to morbidity from COVID-19.

机构信息

Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anaesthesiology and Operative Intensive Care Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Augustenburger Platz 1, 13353, Berlin, Germany.

Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Diagnostic Laboratory Medicine, Clinical Chemistry, And Pathobiochemistry, Augustenburger Platz 1, 13353, Berlin, Germany.

出版信息

Environ Res. 2022 Nov;214(Pt 2):113896. doi: 10.1016/j.envres.2022.113896. Epub 2022 Jul 13.

Abstract

BACKGROUND

The SARS-CoV-2 virus has been spreading in Germany since January 2020, with regional differences in incidence, morbidity, and mortality. Long-term exposure to air pollutants as nitrogen dioxide (NO), nitrogen monoxide (NO), ozone (O), and particulate matter (<10 μm PM, <2.5 μm PM) has a negative impact on respiratory functions. We analyze the association between long-term air pollution and the outcome of SARS-CoV-2 infections in Germany.

METHODS

We conducted an observational study in Germany on county-level, investigating the association between long-term (2010-2019) air pollutant exposure (European Environment Agency, AirBase data set) and COVID-19 incidence, morbidity, and mortality rate during the first outbreak of SARS-CoV-2 (open source data Robert Koch Institute). We used negative binominal models, including adjustment for risk factors (age, sex, days since first COVID-19 case, population density, socio-economic and health parameters).

RESULTS

After adjustment for risk factors in the tri-pollutant model (NO, O, PM) an increase of 1 μg/m³ NO was associated with an increase of the need for intensive care due to COVID-19 by 4.2% (95% CI 1.011-1.074), and mechanical ventilation by 4.6% (95% CI 1.010-1.084). A tendency towards an association of NO with COVID-19 incidence was indicated, as the results were just outside of the defined statistical significance (+1.6% (95% CI 1.000-1.032)). Long-term annual mean NO level ranged from 4.6 μg/m³ to 32 μg/m³.

CONCLUSIONS

Our results indicate that long-term NO exposure may have increased susceptibility for COVID-19 morbidity in Germany. The results demonstrate the need to reduce ambient air pollution to improve public health.

摘要

背景

自 2020 年 1 月以来,SARS-CoV-2 病毒一直在德国传播,发病率、发病率和死亡率存在地区差异。长期暴露于空气污染物,如二氧化氮(NO)、一氧化氮(NO)、臭氧(O)和颗粒物(<10 μm PM、<2.5 μm PM),对呼吸功能有负面影响。我们分析了德国长期空气污染与 SARS-CoV-2 感染结果之间的关系。

方法

我们在德国县级进行了一项观察性研究,调查了长期(2010-2019 年)空气污染物暴露(欧洲环境署,AirBase 数据集)与 SARS-CoV-2 首次爆发期间 COVID-19 发病率、发病率和死亡率之间的关系(开源数据罗伯特科赫研究所)。我们使用负二项式模型,包括对危险因素(年龄、性别、首次 COVID-19 病例后的天数、人口密度、社会经济和健康参数)的调整。

结果

在三元污染物模型(NO、O、PM)中调整危险因素后,NO 浓度每增加 1μg/m³,COVID-19 患者需要重症监护的比例增加 4.2%(95%CI 1.011-1.074),机械通气的比例增加 4.6%(95%CI 1.010-1.084)。NO 与 COVID-19 发病率之间存在关联的趋势表明,结果刚好超出了定义的统计学意义(+1.6%(95%CI 1.000-1.032))。长期年平均 NO 水平范围为 4.6μg/m³至 32μg/m³。

结论

我们的结果表明,长期 NO 暴露可能增加了德国 COVID-19 发病率的易感性。结果表明,需要减少环境空气污染,以改善公共健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c764/9277987/3273f0b22b38/gr1_lrg.jpg

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