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dc.contributor.authorBime, Christian
dc.contributor.authorCasanova, Nancy
dc.contributor.authorOita, Radu C
dc.contributor.authorNdukum, Juliet
dc.contributor.authorLynn, Heather
dc.contributor.authorCamp, Sara M
dc.contributor.authorLussier, Yves
dc.contributor.authorAbraham, Ivo
dc.contributor.authorCarter, Darrick
dc.contributor.authorMiller, Edmund J
dc.contributor.authorMekontso-Dessap, Armand
dc.contributor.authorDowns, Charles A
dc.contributor.authorGarcia, Joe G N
dc.date.accessioned2020-02-25T16:44:19Z
dc.date.available2020-02-25T16:44:19Z
dc.date.issued2019-12-16
dc.identifier.citationBime, C., Casanova, N., Oita, R.C. et al. Development of a biomarker mortality risk model in acute respiratory distress syndrome. Crit Care 23, 410 (2019). https://doi.org/10.1186/s13054-019-2697-xen_US
dc.identifier.issn1466-609X
dc.identifier.pmid31842964
dc.identifier.doi10.1186/s13054-019-2697-x
dc.identifier.urihttp://hdl.handle.net/10150/637507
dc.description.abstractBackground: There is a compelling unmet medical need for biomarker-based models to risk-stratify patients with acute respiratory distress syndrome. Effective stratification would optimize participant selection for clinical trial enrollment by focusing on those most likely to benefit from new interventions. Our objective was to develop a prognostic, biomarker-based model for predicting mortality in adult patients with acute respiratory distress syndrome. Methods: This is a secondary analysis using a cohort of 252 mechanically ventilated subjects with the diagnosis of acute respiratory distress syndrome. Survival to day 7 with both day 0 (first day of presentation) and day 7 sample availability was required. Blood was collected for biomarker measurements at first presentation to the intensive care unit and on the seventh day. Biomarkers included cytokine-chemokines, dual-functioning cytozymes, and vascular injury markers. Logistic regression, latent class analysis, and classification and regression tree analysis were used to identify the plasma biomarkers most predictive of 28-day ARDS mortality. Results: From eight biologically relevant biomarker candidates, six demonstrated an enhanced capacity to predict mortality at day 0. Latent-class analysis identified two biomarker-based phenotypes. Phenotype A exhibited significantly higher plasma levels of angiopoietin-2, macrophage migration inhibitory factor, interleukin-8, interleukin-1 receptor antagonist, interleukin-6, and extracellular nicotinamide phosphoribosyltransferase (eNAMPT) compared to phenotype B. Mortality at 28 days was significantly higher for phenotype A compared to phenotype B (32% vs 19%, p = 0.04). Conclusions: An adult biomarker-based risk model reliably identifies ARDS subjects at risk of death within 28 days of hospitalization.en_US
dc.language.isoenen_US
dc.publisherBMCen_US
dc.rightsCopyright © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_US
dc.subjectARDSen_US
dc.subjectBiomarkersen_US
dc.subjectMortalityen_US
dc.subjectPredictive analyticsen_US
dc.titleDevelopment of a biomarker mortality risk model in acute respiratory distress syndromeen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona Hlth Sci, Coll Meden_US
dc.contributor.departmentUniv Arizona Hlth Sci, Coll Pharmen_US
dc.identifier.journalCRITICAL CAREen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleCritical care (London, England)
dc.source.volume23
dc.source.issue1
dc.source.beginpage410
dc.source.endpage
refterms.dateFOA2020-02-25T16:44:19Z
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryEngland


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