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dc.contributorConsorci Sanitari de Terrassa
dc.contributor.authorMarquès, Montse
dc.contributor.authorCorreig Fraga, Eudald
dc.contributor.authorIbarretxe, Daiana
dc.contributor.authorAnoro, Eva
dc.contributor.authorArroyo, Juan Antonio
dc.contributor.authorJericó, Carlos
dc.date.accessioned2023-05-25T12:39:45Z
dc.date.available2023-05-25T12:39:45Z
dc.date.issued2022-01
dc.identifier.citationMarquès M, Correig E, Ibarretxe D, Anoro E, Arroyo JA, Jericó C, et al. Long-term exposure to PM10 above WHO guidelines exacerbates COVID-19 severity and mortality. Environ Int. 2022 Jan;158:106930.
dc.identifier.urihttps://hdl.handle.net/11351/9623
dc.descriptionCoronavirus; Atmospheric pollutants; World Health Organization
dc.description.abstractBackground: Age, sex, race and comorbidities are insufficient to explain why some individuals remain asymptomatic after SARS-CoV-2 infection, while others die. In this sense, the increased risk caused by the long-term exposure to air pollution is being investigated to understand the high heterogeneity of the COVID-19 infection course. Objectives: We aimed to assess the underlying effect of long-term exposure to NO2 and PM10 on the severity and mortality of COVID-19. Methods: A retrospective observational study was conducted with 2112 patients suffering COVID-19 infection. We built two sets of multivariate predictive models to assess the relationship between the long-term exposure to NO2 and PM10 and COVID-19 outcome. First, the probability of either death or severe COVID-19 outcome was predicted as a function of all the clinical variables together with the pollutants exposure by means of two regularized logistic regressions. Subsequently, two regularized linear regressions were constructed to predict the percentage of dead or severe patients. Finally, odds ratios and effects estimates were calculated. Results: We found that the long-term exposure to PM10 is a more important variable than some already stated comorbidities (i.e.: COPD/Asthma, diabetes, obesity) in the prediction of COVID-19 severity and mortality. PM10 showed the highest effects estimates (1.65, 95% CI 1.32-2.06) on COVID-19 severity. For mortality, the highest effect estimates corresponded to age (3.59, 95% CI 2.94-4.40), followed by PM10 (2.37, 95% CI 1.71-3.32). Finally, an increase of 1 µg/m3 in PM10 concentration causes an increase of 3.06% (95% CI 1.11%-4.25%) of patients suffering COVID-19 as a severe disease and an increase of 2.68% (95% CI 0.53%-5.58%) of deaths. Discussion: These results demonstrate that long-term PM10 burdens above WHO guidelines exacerbate COVID-19 health outcomes. Hence, WHO guidelines, the air quality standard established by the Directive 2008/50/EU, and that of the US-EPA should be updated accordingly to protect human health.
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesEnvironment International;158
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectCOVID-19 (Malaltia)
dc.subjectAire - Contaminació
dc.subject.meshAir Pollutants
dc.subject.meshWorld Health Organization
dc.subject.meshCoronavirus Infections
dc.titleLong-term exposure to PM10 above WHO guidelines exacerbates COVID-19 severity and mortality
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.envint.2021.106930
dc.subject.decscontaminantes atmosféricos
dc.subject.decsOrganización Mundial de la Salud
dc.subject.decsinfecciones por Coronavirus
dc.relation.publishversionhttps://doi.org/10.1016/j.envint.2021.106930
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.authoraffiliation[Marquès M] Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Reus, Spain. [Correig E] Universitat Rovira i Virgili, Department of Biostatistics, Reus, Spain. [Ibarretxe D] Universitat Rovira i Virgili, LIPIDCAS, University Hospital Sant Joan IISPV, CIBERDEM, Reus, Spain. [Anoro E] LIPIDCAS, Pius Hospital Valls, Valls, Spain. [Arroyo JA] Lipid Unit, University Hospital Santa Creu i Sant Pau, Barcelona Autonomous University, Barcelona, Spain. [Jericó C] Lipid Unit, Hospital Moises Broggi, Consorci Sanitari Integral, Sant Joan Despí, Spain. [Borrallo RM] Servei de Medicina Interna, Hospital de Terrassa, Consorci Sanitari de Terrassa, Terrassa, Spain
dc.identifier.pmid34678637
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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