Publications
1.
Zhang, Yongkang; Hu, Hui; Fokaidis, Vasilios; Lewis, Colby; 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 Journal Article
In: Environmental Advances, vol. 11, no. 100352, 2023.
Abstract | Links | BibTeX | Tags: air pollution, built environment, COVID-19, exposome, long COVID, neighborhood deprivation
@article{nokey,
title = {Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program},
author = {Yongkang Zhang and Hui Hu and Vasilios Fokaidis and Colby Lewis and Jie Xu and Chengxi Zang and Zhenxing Xu and Fei Wang and Michael Koropsak and Jiang Bian and Jaclyn Hall and Russell L. Rothman and Elizabeth A. Shenkman and Wei-Qi Wei and Mark G. Weiner and Thomas W. Carton and Rainu Kaushal},
doi = {10.1016/j.envadv.2023.100352},
year = {2023},
date = {2023-02-08},
urldate = {2023-02-08},
journal = {Environmental Advances},
volume = {11},
number = {100352},
abstract = {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 (PM2.5) 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.},
keywords = {air pollution, built environment, COVID-19, exposome, long COVID, neighborhood deprivation},
pubstate = {published},
tppubtype = {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 (PM2.5) 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.