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Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program
Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the association between “exposome”—the t...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907788/ https://www.ncbi.nlm.nih.gov/pubmed/36785842 http://dx.doi.org/10.1016/j.envadv.2023.100352 |
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author | Zhang, Yongkang Hu, Hui Fokaidis, Vasilios V, Colby Lewis Xu, Jie Zang, Chengxi Xu, Zhenxing Wang, Fei Koropsak, Michael Bian, Jiang Hall, Jaclyn Rothman, Russell L. Shenkman, Elizabeth A. Wei, Wei-Qi Weiner, Mark G. Carton, Thomas W. Kaushal, Rainu |
author_facet | Zhang, Yongkang Hu, Hui Fokaidis, Vasilios V, Colby Lewis Xu, Jie Zang, Chengxi Xu, Zhenxing Wang, Fei Koropsak, Michael Bian, Jiang Hall, Jaclyn Rothman, Russell L. Shenkman, Elizabeth A. Wei, Wei-Qi Weiner, Mark G. Carton, Thomas W. Kaushal, Rainu |
author_sort | Zhang, Yongkang |
collection | PubMed |
description | Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the association between “exposome”—the totality of environmental exposures and the risk of PASC. Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified environmental risk factors for 23 PASC symptoms and conditions from nearly 200 exposome factors. The three domains of exposome include natural environment, built environment, and social environment. We conducted a two-phase environment-wide association study. In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each exposome factor, adjusting for a comprehensive set of patient-level confounders. In Phase 2, we ran a mixed effects logistic regression for each PASC outcome including all significant (false positive discovery adjusted p-value < 0.05) exposome characteristics identified from Phase I and adjusting for confounders. We identified air toxicants (e.g., methyl methacrylate), particulate matter (PM(2.5)) compositions (e.g., ammonium), neighborhood deprivation, and built environment (e.g., food access) that were associated with increased risk of PASC conditions related to nervous, blood, circulatory, endocrine, and other organ systems. Specific environmental risk factors for each PASC condition and symptom were different across the New York City area and Florida. Future research is warranted to extend the analyses to other regions and examine more granular exposome characteristics to inform public health efforts to help patients recover from SARS-CoV-2 infection. |
format | Online Article Text |
id | pubmed-9907788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99077882023-02-09 Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program Zhang, Yongkang Hu, Hui Fokaidis, Vasilios V, Colby Lewis Xu, Jie Zang, Chengxi Xu, Zhenxing Wang, Fei Koropsak, Michael Bian, Jiang Hall, Jaclyn Rothman, Russell L. Shenkman, Elizabeth A. Wei, Wei-Qi Weiner, Mark G. Carton, Thomas W. Kaushal, Rainu Environ Adv Article Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the association between “exposome”—the totality of environmental exposures and the risk of PASC. Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified environmental risk factors for 23 PASC symptoms and conditions from nearly 200 exposome factors. The three domains of exposome include natural environment, built environment, and social environment. We conducted a two-phase environment-wide association study. In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each exposome factor, adjusting for a comprehensive set of patient-level confounders. In Phase 2, we ran a mixed effects logistic regression for each PASC outcome including all significant (false positive discovery adjusted p-value < 0.05) exposome characteristics identified from Phase I and adjusting for confounders. We identified air toxicants (e.g., methyl methacrylate), particulate matter (PM(2.5)) compositions (e.g., ammonium), neighborhood deprivation, and built environment (e.g., food access) that were associated with increased risk of PASC conditions related to nervous, blood, circulatory, endocrine, and other organ systems. Specific environmental risk factors for each PASC condition and symptom were different across the New York City area and Florida. Future research is warranted to extend the analyses to other regions and examine more granular exposome characteristics to inform public health efforts to help patients recover from SARS-CoV-2 infection. The Author(s). Published by Elsevier Ltd. 2023-04 2023-02-08 /pmc/articles/PMC9907788/ /pubmed/36785842 http://dx.doi.org/10.1016/j.envadv.2023.100352 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Yongkang Hu, Hui Fokaidis, Vasilios V, Colby Lewis Xu, Jie Zang, Chengxi Xu, Zhenxing Wang, Fei Koropsak, Michael Bian, Jiang Hall, Jaclyn Rothman, Russell L. Shenkman, Elizabeth A. Wei, Wei-Qi Weiner, Mark G. Carton, Thomas W. Kaushal, Rainu Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title | Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title_full | Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title_fullStr | Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title_full_unstemmed | Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title_short | Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program |
title_sort | identifying environmental risk factors for post-acute sequelae of sars-cov-2 infection: an ehr-based cohort study from the recover program |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907788/ https://www.ncbi.nlm.nih.gov/pubmed/36785842 http://dx.doi.org/10.1016/j.envadv.2023.100352 |
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