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    Título
    MR‐ proADM to detect specific types of organ failure in infection
    Autor
    Andrés Iglesias, CristinaAutoridad UVA Orcid
    Andaluz Ojeda, DavidAutoridad UVA
    Cicuendez, Ramón
    Nogales, Leonor
    Martín, Silvia
    Martín Fernández, MartaAutoridad UVA Orcid
    Almansa Mora, RaquelAutoridad UVA
    Calvo, Dolores
    Esteban Velasco, María Carmen
    Vaquero Roncero, Luis Mario
    Ríos Llorente, Alberto
    Sánchez Barrado, Elisa
    Muñoz Bellvís, Luis
    Aldecoa Álvarez Santullano, César EnriqueAutoridad UVA
    Bermejo Martín, Jesús FranciscoAutoridad UVA Orcid
    Año del Documento
    2020
    Descripción
    Producción Científica
    Documento Fuente
    Eur J Clin Invest. 2020 Jun;50(6):e13246
    Résumé
    Background: Following the SEPSIS-3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non-ICU settings. Materials and methods: We evaluated the ability of four biomarkers (C-Reactive protein (CRP), lactate, mid-regional proadrenomedullin (MR-proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). Results: In the multivariate analysis, MR-proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR-proADM and PCT to detect cardiovascular (AUROC, CI95%): MR-proADM (0.82 [0.76-0.88]), PCT (0.81 [0.75-0.87] (P < .05) and renal failure: MR-proADM (0.87 [0.82-0.92]), PCT (0.81 [0.75-0.86]), (P < .05). None of the biomarkers tested was able to detect hepatic failure. Conclusions: In patients with infection, MR-proADM was the biomarker detecting the largest number of SOFA score components, with the exception of hepatic failure.
    ISSN
    0014-2972
    Revisión por pares
    SI
    DOI
    10.1111/eci.13246
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/64661
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP05 - Artículos de revista [198]
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