Independent and combined effects of long-term air pollution exposure and genetic predisposition on COVID-19 severity: A population-based cohort study.

• Tác giả: Feipeng Cui, Sara Khalid, Yudiyang Ma, Linxi Tang, Yaohua Tian, Jianing Wang, Junqin Xie
• Ngôn ngữ: eng
• Ký hiệu phân loại: 371.3943 Methods of instruction and study
• Thông tin xuất bản: United States : Proceedings of the National Academy of Sciences of the United States of America , 2025
• Bộ sưu tập: NCBI
• ID: 692566

Tóm tắt

The relationships between air pollution, genetic susceptibility, and COVID-19-related outcomes, as well as the potential interplays between air pollution and genetic susceptibility, remain largely unexplored. The Cox proportional hazards model was used to assess associations between long-term exposure to air pollutants and the risk of COVID-19 outcomes (infection, hospitalization, and death) in a COVID-19-naive cohort (n = 458,396). Additionally, associations between air pollutants and the risk of COVID-19 severity (hospitalization and death) were evaluated in a COVID-19 infection cohort (n = 110,216). Furthermore, this study investigated the role of host genetic susceptibility in the relationships between exposure to air pollutants and the development of COVID-19-related outcomes. Long-term exposure to air pollutants was significantly associated with an increased risk of COVID-19-related outcomes in the COVID-19 naive cohort. Similarly, in COVID-19 infection cohort, hazard ratios (HRs) for COVID-19 hospital admission were 1.23 (1.19, 1.27) for PM