Long-term exposure to PM(10) above WHO guidelines exacerbates COVID-19 severity and mortality.
Long-term exposure to PM(10) above WHO guidelines exacerbates COVID-19 severity and mortality.
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DOI：
10.1016/j.envint.2021.106930
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发表时间：
2022-01
影响因子：
11.8
通讯作者：
Domingo JL
中科院分区：
文献类型：
--
作者：
Marquès M;Correig E;Ibarretxe D;Anoro E;Antonio Arroyo J;Jericó C;Borrallo RM;Miret M;Näf S;Pardo A;Perea V;Pérez-Bernalte R;Ramírez-Montesinos R;Royuela M;Soler C;Urquizu-Padilla M;Zamora A;Pedro-Botet J;STACOV-XULA research group;Masana L;Domingo JL
年龄、性别、种族和合并症不足以解释为什么有些人在SARS-CoV-2感染后仍然没有症状，而另一些人则死亡。从这个意义上说，长期暴露于空气污染导致的风险增加正在进行调查，以了解COVID-19感染过程的高度异质性。我们旨在评估长期暴露于NO2和PM10对COVID-19严重程度和死亡率的潜在影响。对2112名COVID-19感染患者进行了回顾性观察研究。我们建立了两组多变量预测模型，以评估长期暴露于NO2和PM10与COVID-19结局之间的关系。首先，通过两个正则化逻辑回归，预测死亡或严重COVID-19结果的概率，作为所有临床变量以及污染物暴露的函数。随后，构建了两个正则化线性回归来预测死亡或重症患者的百分比。最后，计算比值比和效应估计值。我们发现，长期暴露于PM10是一个比一些已经声明的合并症更重要的变量（即：COPD/哮喘、糖尿病、肥胖）在预测COVID-19严重程度和死亡率方面的作用。PM10对COVID-19严重程度的影响估计值最高（1.65，95% CI 1.32-2.06）。对于死亡率，最高效应估计值对应于年龄（3.59，95% CI 2.94-4.40），其次是PM10（2.37，95% CI 1.71-3.32）。最后，PM10浓度每增加1 µg/m3，导致COVID-19重症患者增加3.06%（95%CI 1.11%-4.25%），死亡人数增加2.68%（95%CI 0.53%-5.58%）。这些结果表明，长期PM10负担高于世卫组织指南会加剧COVID-19的健康后果。因此，世卫组织指南、2008/50/EU指令制定的空气质量标准以及美国环保局的空气质量标准应相应更新，以保护人类健康。
Age, sex, race and comorbidities are insufficient to explain why some individuals remain asymptomatic after SARS-CoV-2 infection, while others die. In this sense, the increased risk caused by the long-term exposure to air pollution is being investigated to understand the high heterogeneity of the COVID-19 infection course. We aimed to assess the underlying effect of long-term exposure to NO2 and PM10 on the severity and mortality of COVID-19. A retrospective observational study was conducted with 2112 patients suffering COVID-19 infection. We built two sets of multivariate predictive models to assess the relationship between the long-term exposure to NO2 and PM10 and COVID-19 outcome. First, the probability of either death or severe COVID-19 outcome was predicted as a function of all the clinical variables together with the pollutants exposure by means of two regularized logistic regressions. Subsequently, two regularized linear regressions were constructed to predict the percentage of dead or severe patients. Finally, odds ratios and effects estimates were calculated. We found that the long-term exposure to PM10 is a more important variable than some already stated comorbidities (i.e.: COPD/Asthma, diabetes, obesity) in the prediction of COVID-19 severity and mortality. PM10 showed the highest effects estimates (1.65, 95% CI 1.32–2.06) on COVID-19 severity. For mortality, the highest effect estimates corresponded to age (3.59, 95% CI 2.94–4.40), followed by PM10 (2.37, 95% CI 1.71–3.32). Finally, an increase of 1 µg/m3 in PM10 concentration causes an increase of 3.06% (95% CI 1.11%-4.25%) of patients suffering COVID-19 as a severe disease and an increase of 2.68% (95% CI 0.53%-5.58%) of deaths. These results demonstrate that long-term PM10 burdens above WHO guidelines exacerbate COVID-19 health outcomes. Hence, WHO guidelines, the air quality standard established by the Directive 2008/50/EU, and that of the US-EPA should be updated accordingly to protect human health.
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影响因子：
8.3
作者：
Maleki M;Anvari E;Hopke PK;Noorimotlagh Z;Mirzaee SA
通讯作者：
Mirzaee SA
DOI：
10.3390/ijerph17249275
发表时间：
2020-12-11
影响因子：
--
作者：
Hutter HP;Poteser M;Moshammer H;Lemmerer K;Mayer M;Weitensfelder L;Wallner P;Kundi M
通讯作者：
Kundi M
影响因子：
10.4
作者：
Henderson SB;Brauer M;Macnab YC;Kennedy SM
通讯作者：
Kennedy SM
影响因子：
8.3
作者：
Bontempi E;Coccia M;Vergalli S;Zanoletti A
通讯作者：
Zanoletti A
影响因子：
4.6
作者：
Elezkurtaj S;Greuel S;Ihlow J;Michaelis EG;Bischoff P;Kunze CA;Sinn BV;Gerhold M;Hauptmann K;Ingold-Heppner B;Miller F;Herbst H;Corman VM;Martin H;Radbruch H;Heppner FL;Horst D
通讯作者：
Horst D