Long-term exposure to PM10 above WHO guidelines exacerbates COVID-19 severity and mortality
Uložené v:
| Názov: | Long-term exposure to PM10 above WHO guidelines exacerbates COVID-19 severity and mortality |
|---|---|
| Autori: | Meritxell Royuela, J. Pedro-Botet, Eva Anoro, Anna Pardo, Maria Urquizu-Padilla, José L. Domingo, Montse Marquès, Eudald Correig, Marcel la Miret, Rosa M Borrallo, Rosa Pérez-Bernalte, Silvia Näf, Cristina Soler, Lluís Masana, Alberto Zamora, Rafael Ramírez-Montesinos, Verónica Perea, Daiana Ibarretxe, Juan Antonio Arroyo, Carlos Jericó |
| Prispievatelia: | [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, Consorci Sanitari de Terrassa, Institut Català de la Salut, [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, Catalonia, Spain. [Ibarretxe D] Universitat Rovira i Virgili, LIPIDCAS, University Hospital Sant Joan IISPV, CIBERDEM, Reus, Spain. [Anoro E] LIPIDCAS, Pius Hospital Valls, Valls, Spain. [Antonio Arroyo J] 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. [Urquizu-Padilla M] Unitat de Lípid, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain, Vall d'Hebron Barcelona Hospital Campus |
| Zdroj: | Environ Int ENVIRONMENT INTERNATIONAL r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau Institut dInvestigació Biomèdica Sant Pau (IIB Sant Pau) Scientia Scientia. Dipòsit d'Informació Digital del Departament de Salut instname Environment International, Vol 158, Iss, Pp 106930-(2022) |
| Informácie o vydavateľovi: | Elsevier BV, 2021. |
| Rok vydania: | 2021 |
| Predmety: | PM 10, 0301 basic medicine, obesity, Time Factors, SALUD PÚBLICA::salud ambiental::salud ambiental::ciencia::contaminación::contaminación ambiental::riesgos ambientales::exposición ambiental, Environmental Protection Agency, analysis, retrospective study, air pollution, adverse event, environmental exposure, Diseases, mortality rate, ATENCIÓN DE SALUD::economía y organizaciones para la atención de la salud::organizaciones::instituciones internacionales::Naciones Unidas::Organización Mundial de la Salud, COVID-19 (Malaltia), 01 natural sciences, PM10 exposure, Comorbidities, PUBLIC HEALTH::Environmental Health::Science::Contamination::Physical Contamination::Radioactive Pollution::Environmental Health::Science::Environmental Health::Science::Environmental Health::Particulate Matter, DISEASES::Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections, Observational study, time factor, 11. Sustainability, GE1-350, Aire - Contaminació - Aspectes ambientals, Air Pollutants, High heterogeneity, Patient's suffering, atmospheric pollution, Air quality standards, COVID-19 severity, cohort analysis, 3. Good health, Aire - Contaminació, aged, comorbidity, Long term exposure, female, Other subheadings::Other subheadings::Other subheadings::/adverse effects, diabetes mellitus, COMPUESTOS QUÍMICOS Y DROGAS::acciones y usos químicos::acciones tóxicas::contaminantes ambientales::contaminantes atmosféricos, disease severity, Regression analysis, Nitrogen oxides, nitrogen dioxide, PUBLIC HEALTH::Environmental Health::Environmental Health::Science::Contamination::Environmental Pollution::Environmental Hazards::Environmental Exposure, infectious disease, SALUD PÚBLICA::salud ambiental::ciencia::contaminación::contaminación física::contaminación radiactiva::salud ambiental::ciencia::salud ambiental::ciencia::salud ambiental::materia particulada, World Health Organization, Partícules (Matèria), Article, Otros calificadores::Otros calificadores::Otros calificadores::/efectos adversos, long term exposure, coronavirus disease 2019, 03 medical and health sciences, PM10, male, death, Air Pollution, Humans, ENFERMEDADES::virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus, controlled study, human, 0105 earth and related environmental sciences, SARS, particulate matter, COVID-19 mortality, SARS-CoV-2, air pollutant, pollution exposure, toxicity, COVID-19, prediction, Environmental Exposure, asthma, mortality, major clinical study, Environmental sciences, Pm10, age, 13. Climate action, Air quality, disease exacerbation, HEALTH CARE::Health Care Economics and Organizations::Organizations::International Agencies::United Nations::World Health Organization, observational study, Particulate Matter, CHEMICALS AND DRUGS::Chemical Actions and Uses::Toxic Actions::Environmental Pollutants::Air Pollutants, chronic obstructive lung disease |
| Popis: | A retrospective observational study with patients suffering COVID-19 was performed to assess the underlying effect of long-term exposure to NO2 and PM10 on the COVID-19 outcomes. We built multivariate predictive models to assess the relationship between the long-term exposure to NO2 and PM10 and COVID-19 outcomes. The probability of either death or severe COVID-19 outcome and the percentage of dead or severe patients were predicted, while odds ratios and effects estimates were calculated. Whilst the long-term exposure to NO2 is a variable with a rather low importance in the prediction of COVID-19 health outcomes, the long-term exposure to PM10 is a more important variable than some stated comorbidities. 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%) and 2.68% (95% CI 0.53%-5.58%) of patients suffering COVID-19 as a severe disease and deaths, respectively. These results demonstrate that long-term PM10 burdens above WHO guidelines exacerbate COVID-19 outcomes, while it must be considered for an accurate medical prognosis of COVID-19. |
| Druh dokumentu: | Article Other literature type |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 0160-4120 |
| DOI: | 10.1016/j.envint.2021.106930 |
| DOI: | 10.21203/rs.3.rs-569549/v1 |
| Prístupová URL adresa: | https://www.researchsquare.com/article/rs-569549/latest.pdf https://pubmed.ncbi.nlm.nih.gov/34678637 https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=15912 https://hdl.handle.net/11351/9623 https://hdl.handle.net/11351/8958 https://doaj.org/article/701d8fcfc4294a46b4cf72b1f9f2a45d https://www.sciencedirect.com/science/article/pii/S0160412021005559 https://pubmed.ncbi.nlm.nih.gov/34678637/ https://europepmc.org/article/MED/34678637 https://www.researchsquare.com/article/rs-569549/v1 |
| Rights: | CC BY |
| Prístupové číslo: | edsair.doi.dedup.....a306f95578a8b44c4cc4167f5b3cf25f |
| Databáza: | OpenAIRE |
| Abstrakt: | A retrospective observational study with patients suffering COVID-19 was performed to assess the underlying effect of long-term exposure to NO2 and PM10 on the COVID-19 outcomes. We built multivariate predictive models to assess the relationship between the long-term exposure to NO2 and PM10 and COVID-19 outcomes. The probability of either death or severe COVID-19 outcome and the percentage of dead or severe patients were predicted, while odds ratios and effects estimates were calculated. Whilst the long-term exposure to NO2 is a variable with a rather low importance in the prediction of COVID-19 health outcomes, the long-term exposure to PM10 is a more important variable than some stated comorbidities. 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%) and 2.68% (95% CI 0.53%-5.58%) of patients suffering COVID-19 as a severe disease and deaths, respectively. These results demonstrate that long-term PM10 burdens above WHO guidelines exacerbate COVID-19 outcomes, while it must be considered for an accurate medical prognosis of COVID-19. |
|---|---|
| ISSN: | 01604120 |
| DOI: | 10.1016/j.envint.2021.106930 |
Full Text Finder
Nájsť tento článok vo Web of Science