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Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data

BACKGROUND: Asthma exacerbations in children often require medications, urgent care, and hospitalization. Multiple environmental triggers have been associated with asthma exacerbations, including particulate matter 2.5 (PM2.5) and ozone, which are primarily generated by motor vehicle exhaust. There...

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Autores principales: He, Jingyi, Ghorveh, Mohsen Ghiasi, Hurst, Jillian H., Tang, Monica, Alhanti, Brooke, Lang, Jason E., Goldstein, Benjamin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599107/
https://www.ncbi.nlm.nih.gov/pubmed/33121457
http://dx.doi.org/10.1186/s12889-020-09731-0
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author He, Jingyi
Ghorveh, Mohsen Ghiasi
Hurst, Jillian H.
Tang, Monica
Alhanti, Brooke
Lang, Jason E.
Goldstein, Benjamin A.
author_facet He, Jingyi
Ghorveh, Mohsen Ghiasi
Hurst, Jillian H.
Tang, Monica
Alhanti, Brooke
Lang, Jason E.
Goldstein, Benjamin A.
author_sort He, Jingyi
collection PubMed
description BACKGROUND: Asthma exacerbations in children often require medications, urgent care, and hospitalization. Multiple environmental triggers have been associated with asthma exacerbations, including particulate matter 2.5 (PM2.5) and ozone, which are primarily generated by motor vehicle exhaust. There is mixed evidence as to whether proximity to highways increases risk of asthma exacerbations. METHODS: To evaluate the impact of highway proximity, we assessed the association between asthma exacerbations and the distance of child’s primary residence to two types of roadways in Durham County, North Carolina, accounting for other patient-level factors. We abstracted data from the Duke University Health System electronic health record (EHR), identifying 6208 children with asthma between 2014 and 2019. We geocoded each child’s distance to roadways (both 35 MPH+ and 55 MPH+). We classified asthma exacerbation severity into four tiers and fitted a recurrent event survival model to account for multiple exacerbations. RESULTS: There was a no observed effect of residential distance from 55+ MPH highway (Hazard Ratio: 0.98 (95% confidence interval: 0.94, 1.01)) and distance to 35+ MPH roadway (Hazard Ratio: 0.98 (95% confidence interval: 0.83, 1.15)) and any asthma exacerbation. Even those children living closest to highways (less 0.25 miles) had no increased risk of exacerbation. These results were consistent across different demographic strata. CONCLUSIONS: While the results were non-significant, the characteristics of the study sample – namely farther distance to roadways and generally good ambient environmental pollution may contribute to the lack of effect. Compared to previous studies, which often relied on self-reported measures, we were able to obtain a more objective assessment of outcomes. Overall, this work highlights the opportunity to use EHR data to study environmental impacts on disease. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09731-0.
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spelling pubmed-75991072020-11-02 Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data He, Jingyi Ghorveh, Mohsen Ghiasi Hurst, Jillian H. Tang, Monica Alhanti, Brooke Lang, Jason E. Goldstein, Benjamin A. BMC Public Health Research Article BACKGROUND: Asthma exacerbations in children often require medications, urgent care, and hospitalization. Multiple environmental triggers have been associated with asthma exacerbations, including particulate matter 2.5 (PM2.5) and ozone, which are primarily generated by motor vehicle exhaust. There is mixed evidence as to whether proximity to highways increases risk of asthma exacerbations. METHODS: To evaluate the impact of highway proximity, we assessed the association between asthma exacerbations and the distance of child’s primary residence to two types of roadways in Durham County, North Carolina, accounting for other patient-level factors. We abstracted data from the Duke University Health System electronic health record (EHR), identifying 6208 children with asthma between 2014 and 2019. We geocoded each child’s distance to roadways (both 35 MPH+ and 55 MPH+). We classified asthma exacerbation severity into four tiers and fitted a recurrent event survival model to account for multiple exacerbations. RESULTS: There was a no observed effect of residential distance from 55+ MPH highway (Hazard Ratio: 0.98 (95% confidence interval: 0.94, 1.01)) and distance to 35+ MPH roadway (Hazard Ratio: 0.98 (95% confidence interval: 0.83, 1.15)) and any asthma exacerbation. Even those children living closest to highways (less 0.25 miles) had no increased risk of exacerbation. These results were consistent across different demographic strata. CONCLUSIONS: While the results were non-significant, the characteristics of the study sample – namely farther distance to roadways and generally good ambient environmental pollution may contribute to the lack of effect. Compared to previous studies, which often relied on self-reported measures, we were able to obtain a more objective assessment of outcomes. Overall, this work highlights the opportunity to use EHR data to study environmental impacts on disease. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09731-0. BioMed Central 2020-10-29 /pmc/articles/PMC7599107/ /pubmed/33121457 http://dx.doi.org/10.1186/s12889-020-09731-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
He, Jingyi
Ghorveh, Mohsen Ghiasi
Hurst, Jillian H.
Tang, Monica
Alhanti, Brooke
Lang, Jason E.
Goldstein, Benjamin A.
Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title_full Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title_fullStr Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title_full_unstemmed Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title_short Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
title_sort evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599107/
https://www.ncbi.nlm.nih.gov/pubmed/33121457
http://dx.doi.org/10.1186/s12889-020-09731-0
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