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Andrés, Cristina; Andaluz‐Ojeda, David; Cicuendez, Ramón; Nogales, Leonor; Martín, Silvia; Martin‐Fernandez, Marta; Almansa, Raquel; Calvo, Dolores; Esteban‐Velasco, Maria Carmen; Vaquero‐Roncero, Luis Mario; Ríos‐Llorente, Alberto; Sanchez‐Barrado, Elisa; Muñoz‐Bellvís, Luis; Aldecoa, César; Bermejo‐Martin, Jesus F.

MR‐ proADM to detect specific types of organ failure in infection

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  • Medientyp: E-Artikel
  • Titel: MR‐ proADM to detect specific types of organ failure in infection
  • Beteiligte: Andrés, Cristina; Andaluz‐Ojeda, David; Cicuendez, Ramón; Nogales, Leonor; Martín, Silvia; Martin‐Fernandez, Marta; Almansa, Raquel; Calvo, Dolores; Esteban‐Velasco, Maria Carmen; Vaquero‐Roncero, Luis Mario; Ríos‐Llorente, Alberto; Sanchez‐Barrado, Elisa; Muñoz‐Bellvís, Luis; Aldecoa, César; Bermejo‐Martin, Jesus F.
  • Erschienen: Wiley, 2020
  • Erschienen in: European Journal of Clinical Investigation
  • Sprache: Englisch
  • DOI: 10.1111/eci.13246
  • ISSN: 0014-2972; 1365-2362
  • Schlagwörter: Clinical Biochemistry ; Biochemistry ; General Medicine
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Materials and methods</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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] (<jats:italic>P</jats:italic> &lt; .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (<jats:italic>P</jats:italic> &lt; .05). None of the biomarkers tested was able to detect hepatic failure.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>In patients with infection, MR‐proADM was the biomarker detecting the largest number of SOFA score components, with the exception of hepatic failure.</jats:p></jats:sec>