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Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study

The incidence of cardiac dyspnea (CD) and the distribution of pollution in the south of France suggests that environmental pollution may have a role in disease triggering. CD is a hallmark symptom of heart failure leading to reduced ability to function and engage in activities of daily living. To sh...

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Autores principales: Simões, Fanny, Bouveyron, Charles, Piga, Damien, Borel, Damien, Descombes, Stéphane, Paquis-Flucklinger, Véronique, Levraut, Jaques, Gibelin, Pierre, Bottini, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813995/
https://www.ncbi.nlm.nih.gov/pubmed/35115629
http://dx.doi.org/10.1038/s41598-022-05827-2
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author Simões, Fanny
Bouveyron, Charles
Piga, Damien
Borel, Damien
Descombes, Stéphane
Paquis-Flucklinger, Véronique
Levraut, Jaques
Gibelin, Pierre
Bottini, Silvia
author_facet Simões, Fanny
Bouveyron, Charles
Piga, Damien
Borel, Damien
Descombes, Stéphane
Paquis-Flucklinger, Véronique
Levraut, Jaques
Gibelin, Pierre
Bottini, Silvia
author_sort Simões, Fanny
collection PubMed
description The incidence of cardiac dyspnea (CD) and the distribution of pollution in the south of France suggests that environmental pollution may have a role in disease triggering. CD is a hallmark symptom of heart failure leading to reduced ability to function and engage in activities of daily living. To show the impact of short-term pollution exposure on the increment of CD emergency room visits, we collected pollutants and climate measurements on a daily basis and 43,400 events of CD in the Région Sud from 2013 to 2018. We used a distributed lag non-linear model (DLNM) to assess the association between air pollution and CD events. We divided the region in 357 zones to reconciliate environmental and emergency room visits data. We applied the DLNM on the entire region, on zones grouped by pollution trends and on singular zones. Each pollutant has a significant effect on triggering CD. Depending on the pollutant, we identified four shapes of exposure curves to describe the impact of pollution on CD events: early and late effect for NO(2); U-shape and rainbow-shape (or inverted U) for O(3); all the four shapes for PM10. In the biggest cities, O(3) has the most significant association along with the PM10. In the west side, a delayed effect triggered by PM10 was found. Zones along the main highway are mostly affected by NO(2) pollution with an increase of the association for a period up to 9 days after the pollution peak. Our results can be used by local authorities to set up specific prevention policies, public alerts that adapt to the different zones and support public health prediction-making. We developed a user-friendly web application called Health, Environment in PACA Region Tool (HEART) to collect our results. HEART will allow citizens, researchers and local authorities to monitor the impact of pollution trends on local public health.
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spelling pubmed-88139952022-02-07 Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study Simões, Fanny Bouveyron, Charles Piga, Damien Borel, Damien Descombes, Stéphane Paquis-Flucklinger, Véronique Levraut, Jaques Gibelin, Pierre Bottini, Silvia Sci Rep Article The incidence of cardiac dyspnea (CD) and the distribution of pollution in the south of France suggests that environmental pollution may have a role in disease triggering. CD is a hallmark symptom of heart failure leading to reduced ability to function and engage in activities of daily living. To show the impact of short-term pollution exposure on the increment of CD emergency room visits, we collected pollutants and climate measurements on a daily basis and 43,400 events of CD in the Région Sud from 2013 to 2018. We used a distributed lag non-linear model (DLNM) to assess the association between air pollution and CD events. We divided the region in 357 zones to reconciliate environmental and emergency room visits data. We applied the DLNM on the entire region, on zones grouped by pollution trends and on singular zones. Each pollutant has a significant effect on triggering CD. Depending on the pollutant, we identified four shapes of exposure curves to describe the impact of pollution on CD events: early and late effect for NO(2); U-shape and rainbow-shape (or inverted U) for O(3); all the four shapes for PM10. In the biggest cities, O(3) has the most significant association along with the PM10. In the west side, a delayed effect triggered by PM10 was found. Zones along the main highway are mostly affected by NO(2) pollution with an increase of the association for a period up to 9 days after the pollution peak. Our results can be used by local authorities to set up specific prevention policies, public alerts that adapt to the different zones and support public health prediction-making. We developed a user-friendly web application called Health, Environment in PACA Region Tool (HEART) to collect our results. HEART will allow citizens, researchers and local authorities to monitor the impact of pollution trends on local public health. Nature Publishing Group UK 2022-02-03 /pmc/articles/PMC8813995/ /pubmed/35115629 http://dx.doi.org/10.1038/s41598-022-05827-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Simões, Fanny
Bouveyron, Charles
Piga, Damien
Borel, Damien
Descombes, Stéphane
Paquis-Flucklinger, Véronique
Levraut, Jaques
Gibelin, Pierre
Bottini, Silvia
Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title_full Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title_fullStr Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title_full_unstemmed Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title_short Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study
title_sort cardiac dyspnea risk zones in the south of france identified by geo-pollution trends study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813995/
https://www.ncbi.nlm.nih.gov/pubmed/35115629
http://dx.doi.org/10.1038/s41598-022-05827-2
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