Suppr超能文献

南加州 COVID-19 患者队列中环境空气污染物暴露与 COVID-19 严重程度和死亡率的关系。

Ambient Air Pollutant Exposures and COVID-19 Severity and Mortality in a Cohort of Patients with COVID-19 in Southern California.

机构信息

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.

Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California; and.

出版信息

Am J Respir Crit Care Med. 2022 Aug 15;206(4):440-448. doi: 10.1164/rccm.202108-1909OC.

Abstract

Ecological studies have shown air pollution associations with coronavirus disease (COVID-19) outcomes. However, few cohort studies have been conducted. To conduct a cohort study investigating the association between air pollution and COVID-19 severity using individual-level data from the electronic medical record. This cohort included all individuals who received diagnoses of COVID-19 from Kaiser Permanente Southern California between March 1 and August 31, 2020. One-year and 1-month averaged ambient air pollutant (particulate matter ⩽2.5 μm in aerodynamic diameter [PM], NO, and O) exposures before COVID-19 diagnosis were estimated on the basis of residential address history. Outcomes included COVID-19-related hospitalizations, intensive respiratory support (IRS), and ICU admissions within 30 days and mortality within 60 days after COVID-19 diagnosis. Covariates included socioeconomic characteristics and comorbidities. Among 74,915 individuals (mean age, 42.5 years; 54% women; 66% Hispanic), rates of hospitalization, IRS, ICU admission, and mortality were 6.3%, 2.4%, 1.5%, and 1.5%, respectively. Using multipollutant models adjusted for covariates, 1-year PM and 1-month NO average exposures were associated with COVID-19 severity. The odds ratios associated with a 1-SD increase in 1-year PM (SD, 1.5 μg/m) were 1.24 (95% confidence interval [CI], 1.16-1.32) for COVID-19-related hospitalization, 1.33 (95% CI, 1.20-1.47) for IRS, and 1.32 (95% CI, 1.16-1.51) for ICU admission; the corresponding odds ratios associated with 1-month NO (SD, 3.3 ppb) were 1.12 (95% CI, 1.06-1.17) for hospitalization, 1.18 (95% CI, 1.10-1.27) for IRS, and 1.21 (95% CI, 1.11-1.33) for ICU admission. The hazard ratios for mortality were 1.14 (95% CI, 1.02-1.27) for 1-year PM and 1.07 (95% CI, 0.98-1.16) for 1-month NO. No significant interactions with age, sex or ethnicity were observed. Ambient PM and NO exposures may affect COVID-19 severity and mortality.

摘要

生态研究表明,空气污染与冠状病毒病(COVID-19)的结果有关。然而,进行的队列研究较少。本研究旨在通过电子病历中的个体水平数据进行队列研究,以调查空气污染与 COVID-19 严重程度之间的关联。

该队列包括 2020 年 3 月 1 日至 8 月 31 日期间在凯撒永久南加州接受 COVID-19 诊断的所有个体。根据居住地址历史,估计 COVID-19 诊断前一年和一个月的平均环境空气污染物(空气动力学直径 ⩽2.5μm 的颗粒物[PM]、NO 和 O)暴露。结果包括 COVID-19 相关住院、重症呼吸支持(IRS)和 COVID-19 诊断后 30 天内 ICU 入院以及 COVID-19 诊断后 60 天内的死亡率。协变量包括社会经济特征和合并症。

在 74915 名个体中(平均年龄 42.5 岁;54%为女性;66%为西班牙裔),住院、IRS、ICU 入院和死亡率的发生率分别为 6.3%、2.4%、1.5%和 1.5%。使用多污染物模型调整协变量后,一年 PM 和一个月 NO 平均暴露与 COVID-19 严重程度相关。与 1 年 PM 增加 1-SD(标准差,1.5μg/m)相关的比值比分别为 COVID-19 相关住院的 1.24(95%置信区间[CI],1.16-1.32)、IRS 的 1.33(95% CI,1.20-1.47)和 ICU 入院的 1.32(95% CI,1.16-1.51);与 1 个月 NO(标准差,3.3ppb)相关的相应比值比分别为住院的 1.12(95% CI,1.06-1.17)、IRS 的 1.18(95% CI,1.10-1.27)和 ICU 入院的 1.21(95% CI,1.11-1.33)。死亡率的风险比分别为 1 年 PM 的 1.14(95% CI,1.02-1.27)和 1 个月 NO 的 1.07(95% CI,0.98-1.16)。未观察到年龄、性别或种族与 PM 和 NO 暴露之间的显著相互作用。

环境 PM 和 NO 暴露可能会影响 COVID-19 的严重程度和死亡率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验