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Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia.
Bronte O, García-García F, Lee DJ, Urrutia I, Uranga A, Nieves M, Martínez-Minaya J, Quintana JM, Arostegui I, Zalacain R, Ruiz-Iturriaga LA, Serrano L, Menéndez R, Méndez R, Torres A, Cilloniz C, España PP; COVID-19 & Air Pollution Working Group. Bronte O, et al. Sci Total Environ. 2023 Oct 10;894:164877. doi: 10.1016/j.scitotenv.2023.164877. Epub 2023 Jun 17. Sci Total Environ. 2023. PMID: 37331396 Free PMC article.
The relationship between exposure to air pollution and the severity of coronavirus disease 2019 (COVID-19) pneumonia and other outcomes is poorly understood. Beyond age and comorbidity, risk factors for adverse outcomes including death have been poorly studie …
The relationship between exposure to air pollution and the severity of coronavirus disease 2019 (COVID-19) pneumonia an …
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques.
Hayet-Otero M, García-García F, Lee DJ, Martínez-Minaya J, España Yandiola PP, Urrutia Landa I, Nieves Ermecheo M, Quintana JM, Menéndez R, Torres A, Zalacain Jorge R, Arostegui I; with the COVID-19 & Air Pollution Working Group. Hayet-Otero M, et al. PLoS One. 2023 Apr 13;18(4):e0284150. doi: 10.1371/journal.pone.0284150. eCollection 2023. PLoS One. 2023. PMID: 37053151 Free PMC article.
Here we focused on a fully data-driven exploration regarding which factors (clinical or otherwise) were most informative for SARS-CoV-2 pneumonia severity prediction via machine learning (ML). In particular, feature selection techniques (FS), designed to redu …
Here we focused on a fully data-driven exploration regarding which factors (clinical or otherwise) were most informative for SARS- …
Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality.
García-García F, Lee DJ, Nieves-Ermecheo M, Bronte O, España PP, Quintana JM, Menéndez R, Torres A, Ruiz Iturriaga LA, Urrutia I; COVID-19 & Air Pollution Working Group. García-García F, et al. Pneumonia (Nathan). 2024 Jun 25;16(1):12. doi: 10.1186/s41479-024-00132-0. Pneumonia (Nathan). 2024. PMID: 38915125 Free article.
The aim of this study was to identify distinct clinical phenotypes among hospitalized patients with SARS-CoV-2 pneumonia using machine learning clustering, and to study their association with subsequent clinical outcomes as severity and mortality. ...We inclu …
The aim of this study was to identify distinct clinical phenotypes among hospitalized patients with SARS-CoV-2 pneumoni …