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长期空气污染暴露对 COVID-19 患者病死率的影响——一项多城市研究。

Impact of a long-term air pollution exposure on the case fatality rate of COVID-19 patients-A multicity study.

机构信息

Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.

出版信息

J Med Virol. 2021 May;93(5):2938-2946. doi: 10.1002/jmv.26807. Epub 2021 Feb 15.

Abstract

Evidence in the literature suggests that air pollution exposure affects outcomes of patients with COVID-19. However, the extent of this effect requires further investigation. This study was designed to investigate the relationship between long-term exposure to air pollution and the case fatality rate (CFR) of patients with COVID-19. The data on air quality index (AQI), PM2.5, PM10, SO , NO , and O from 14 major cities in China in the past 5 years (2015-2020) were collected, and the CRF of COVID-19 patients in these cities was calculated. First, we investigated the correlation between CFR and long-term air quality indicators. Second, we examined the air pollutants affecting CFR and evaluated their predictive values. We found a positive correlation between the CFR and AQI (1, 3, and 5 years), PM2.5 (1, 3, and 5 years), and PM10 (1, 3, and 5 years). Further analysis indicated the more significant correlation for both AQI (3 and 5 years) and PM2.5 (1, 3, and 5 years) with CFR, and moderate predictive values for air pollution indicators such as AQI (1, 3, and 5 years) and PM2.5 (1, 3, and 5 years) for CFR. Our results indicate that long-term exposure to severe air pollution is associated with higher CFR of COVID-19 patients. Air pollutants such as PM2.5 may assist with the prediction of CFR for COVID-19 patients.

摘要

文献中的证据表明,空气污染暴露会影响 COVID-19 患者的结局。然而,这种影响的程度需要进一步调查。本研究旨在调查长期暴露于空气污染与 COVID-19 患者病死率(CFR)之间的关系。收集了过去 5 年(2015-2020 年)中国 14 个主要城市的空气质量指数(AQI)、PM2.5、PM10、SO 、NO 和 O 数据,并计算了这些城市 COVID-19 患者的 CFR。首先,我们调查了 CFR 与长期空气质量指标之间的相关性。其次,我们研究了影响 CFR 的空气污染物,并评估了它们的预测值。我们发现 CFR 与 AQI(1、3 和 5 年)、PM2.5(1、3 和 5 年)和 PM10(1、3 和 5 年)之间存在正相关。进一步的分析表明,AQI(3 和 5 年)和 PM2.5(1、3 和 5 年)与 CFR 的相关性更为显著,而 AQI(1、3 和 5 年)和 PM2.5(1、3 和 5 年)等空气污染指标对 CFR 具有中等预测值。我们的结果表明,长期暴露于严重空气污染与 COVID-19 患者的高 CFR 相关。PM2.5 等空气污染物可能有助于预测 COVID-19 患者的 CFR。

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