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    • Dpto. Medicina, Dermatología y Toxicología
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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/59095

    Título
    Predictive modeling of poor outcome in severe COVID-19: A single-center observational study based on clinical, cytokine and laboratory profiles
    Autor
    Gorgojo Galindo, ÓscarAutoridad UVA Orcid
    Martín Fernández, MartaAutoridad UVA Orcid
    Peñarrubia Ponce, María JesúsAutoridad UVA
    Álvarez González, Francisco JavierAutoridad UVA Orcid
    Ortega Loubon, Christian Joseph
    Gonzalo Benito, HugoAutoridad UVA
    Martínez de Paz, Pedro JoséAutoridad UVA
    MiRamóntes González, José PabloAutoridad UVA Orcid
    Gómez Sánchez, EstherAutoridad UVA
    Poves Álvarez, RodrigoAutoridad UVA Orcid
    Jorge Monjas, PabloAutoridad UVA
    Tamayo Gómez, EduardoAutoridad UVA
    Heredia Rodríguez, MaríaAutoridad UVA
    Tamayo Velasco, ÁlvaroAutoridad UVA Orcid
    Año del Documento
    2021
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Journal of Clinical Medicine, 2021, Vol. 10, Nº. 22, 5431
    Abstract
    Pneumonia is the main cause of hospital admission in COVID-19 patients. We aimed to perform an extensive characterization of clinical, laboratory, and cytokine profiles in order to identify poor outcomes in COVID-19 patients. Methods: A prospective and consecutive study involving 108 COVID-19 patients was conducted between March and April 2020 at Hospital Clínico Universitario de Valladolid (Spain). Plasma samples from each patient were collected after emergency room admission. Forty-five serum cytokines were measured in duplicate, and clinical data were analyzed using SPPS version 25.0. Results: A multivariate predictive model showed high hepatocyte growth factor (HGF) plasma levels as the only cytokine related to intubation or death risk at hospital admission (OR = 7.38, 95%CI—(1.28–42.4), p = 0.025). There were no comorbidities included in the model except for the ABO blood group, in which the O blood group was associated with a 14-fold lower risk of a poor outcome. Other clinical variables were also included in the predictive model. The predictive model was internally validated by the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.94, a sensitivity of 91.7% and a specificity of 95%. The use of a bootstrapping method confirmed these results. Conclusions: A simple, robust, and quick predictive model, based on the ABO blood group, four common laboratory values, and one specific cytokine (HGF), could be used in order to predict poor outcomes in COVID-19 patients.
    Materias (normalizadas)
    COVID-19
    COVID-19 (Disease) - Diagnosis
    Coronaviruses - Diagnosis
    Cytokines - Therapeutic use
    Materias Unesco
    2420 Virología
    Palabras Clave
    Biomarkers
    ISSN
    2077-0383
    Revisión por pares
    SI
    DOI
    10.3390/jcm10225431
    Patrocinador
    Instituto de Salud Carlos III - ( Proyecto COV20/00491)
    Consejeria de Educación de Castilla y León - (Proyecto VA256P20)
    Junta de Castilla y León y Fondo Europeo de Desarrollo Regional (FEDER) - (Proyecto EDU/1100/2017)
    Version del Editor
    https://www.mdpi.com/2077-0383/10/22/5431
    Propietario de los Derechos
    © 2021 The authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/59095
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Collections
    • DEP52 - Artículos de revista [181]
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    Atribución 4.0 InternacionalExcept where otherwise noted, this item's license is described as Atribución 4.0 Internacional

    Universidad de Valladolid

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