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dc.contributor.authorVera, María del Carmen
dc.contributor.authorMedina, Blanca
dc.contributor.authorMartínez, Mónica
dc.contributor.authorCallejo, Victoria
dc.contributor.authorValero, Salvador
dc.contributor.authorMarín, Irene
dc.contributor.authorMuñoz, Ángeles
dc.contributor.authorBernal Morell, Enrique
dc.contributor.authorGarcía Villalba, Eva
dc.contributor.authorAlcaráz García, Antonia
dc.contributor.authorCinesi Gómez, César
dc.contributor.authorCano Sánchez, Alfredo
dc.contributor.authorPiñera Salmerón, Pascual
dc.date.accessioned2024-02-12T08:10:24Z
dc.date.available2024-02-12T08:10:24Z
dc.date.issued2018
dc.identifier.citationBernal-Morell E, García-Villalba E, Vera MDC, Medina B, Martinez M, Callejo V, et al. Usefulness of midregional pro-adrenomedullin as a marker of organ damage and predictor of mortality in patients with sepsis. J Infect. 2018;76:249-57.es
dc.identifier.urihttp://hdl.handle.net/10952/7333
dc.description.abstractBackground: Midregional proadrenomedullin (MR-proADM) is a prognostic biomarker in patients with community-acquired pneumonia (CAP) and sepsis. In this paper, we examined the ability of MR-proADM to predict organ damage and long-term mortality in sepsis patients, compared to that of procalcitonin, C-reactive protein and lactate. Methods: This was a prospective observational cohort, enrolling severe sepsis or septic shock patients admitted to internal service department. The association between biomarkers and 90-day mortality was assessed by Cox regression analysis and Kaplan–Meier curves. The accuracy of biomarkers for mortality was determined by area under the receiver operating characteristic curve (AUROC) analysis. Results: A total of 148 patients with severe sepsis, according to the criteria of the campaign to survive sepsis, were enrolled. Eighty-five (57.4%) had sepsis according to the new criteria of Sepsis-3. MR-proADM showed the best AUROC to predict sepsis as defined by the Sepsis-3 criteria (AUROC of 0.771, 95% CI 0.692–0.850, p <0.001) and was the only marker independently asso- ciated with Sepsis-3 criteria (OR = 4.78, 95% CI 2.25–10.14; p < 0.001) in multivariate analysis.MR-proADM was the biomarker with the best AUROC to predict mortality in 90 days (AUROC of 0.731, CI 95% 0.612–0.850, p <0.001) and was the only marker that kept its indepen- dence [hazard ratio (HR) of 1.4, 95% CI 1.2-1.64, p <0.001] in multivariate analysis. The cut-off point of MR-proADM of 1.8 nmol/L (HR of 4.65, 95% CI 6.79–10.1, p < 0.001) was the one that had greater discriminative capacity to predict 90 days mortality. All patients with MR-proADM concentrations ≤0.60 nmol/L survived up to 90 days. In patients with SOFA ≤ 6, the addition of MR-proADM to SOFA score increased the ability of SOFA to identify non-survivors, AUROC of 0.65 (CI 95% 0.537–0.764) and AUROC of 0.700 (CI 95% 0.594–0.800), respectively (p < 0.05 for both). Conclusions: MR-proADM is a good biomarker in the early identification of high risk septic patients and may contribute to improve the predictive capacity of SOFA scale, especially when scores are low.es
dc.language.isoeses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleUsefulness of midregional pro- adrenomedullin as a marker of organ damage and predictor of mortality in patients with sepsises
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleJournal of Infectiones
dc.volume.number76es
dc.description.disciplineMedicinaes
dc.identifier.doihttps://doi.org/10.1016/j.jinf.2017.12.003es


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