Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27784
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dc.contributor.authorElitok, Saban-
dc.contributor.authorIsermann, Berend-
dc.contributor.authorWestphal, Sabine-
dc.contributor.authorDevarajan, Prasad-
dc.contributor.authorAlbert, Christian-
dc.contributor.authorKuppe, Hermann-
dc.contributor.authorErnst, Martin-
dc.contributor.authorBellomo, Rinaldo-
dc.contributor.authorHaase, Michael-
dc.contributor.authorHaase-Fielitz, Anja-
dc.date2021-10-21-
dc.date.accessioned2021-10-25T22:33:35Z-
dc.date.available2021-10-25T22:33:35Z-
dc.date.issued2021-
dc.identifier.citationBiomarkers in medicine 2021; 15(16): 1451-1464en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/27784-
dc.description.abstractAim: To assess the predictive ability of urinary and plasma biomarkers and clinical routine parameters for subsequent severe fluid overload. Patients & methods: In a pilot study, we studied 100 adult patients after cardiac surgery. On intensive care unit admission, we measured biomarkers in urine (midkine, IL-6, neutrophil gelatinase-associated lipocalin [NGAL], hepcidin-25) and plasma (creatinine, urea, B-type natriuretic peptide, lactate, C-reactive protein, leukocytes, IL-6, NGAL, hepcidin-25) to predict postoperative severe fluid overload. Results: Urinary midkine, IL-6, NGAL and hepcidin-25 (all AUCs ≥0.79) predicted postoperative severe fluid overload (N = 5 patients). Urinary NGAL/hepcidin-25 ratio (AUC 0.867) predicted postoperative severe fluid overload after adjustment to EuroScore and need for norepinephrine on surgery day (odds ratio: 2.4). Conclusion: Urinary biomarkers on intensive care unit admission might be helpful to predict subsequent severe fluid overload after cardiac surgery.en
dc.language.isoeng-
dc.subjectIL-6en
dc.subjectNGAL/hepcidin ratioen
dc.subjectbiomarkeren
dc.subjectcardiac surgeryen
dc.subjectcardiopulmonary bypassen
dc.subjectcardiorenal syndromeen
dc.subjectfluid overloaden
dc.subjecthearten
dc.subjectkidneyen
dc.subjectmidkineen
dc.titleUrinary biomarkers to predict severe fluid overload after cardiac surgery: a pilot study.en
dc.typeJournal Articleen
dc.identifier.journaltitleBiomarkers in Medicineen
dc.identifier.affiliationInstitute of Social Medicine & Health Care Systems Research, Otto von-Guericke-University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germanyen
dc.identifier.affiliationDiaverum Renal Care Center, Am Neuen Garten 11, 14469 Potsdam, Germany & Diaverum AB, Hyllie Boulevard 35, Malmö, 21532, Swedenen
dc.identifier.affiliationDepartment of Nephrology & Endocrinology, Ernst von Bergmann Hospital Potsdam, Charlottenstr. 72, Potsdam, 14467, Germanyen
dc.identifier.affiliationDepartment of Cardiology, Brandenburg Heart Center, Immanuel Hospital, Ladeburger Str. 17, Bernau, 16321, Germanyen
dc.identifier.affiliationBrandenburg Medical School Theodor Fontane, Fehrbelliner Str. 38, Neuruppin, 16816, Germanyen
dc.identifier.affiliationFaculty of Health Sciences Brandenburg, University of Potsdam, Potsdam, Germanyen
dc.identifier.affiliationInstitute of Laboratory Medicine, Leipzig University Hospital, Paul-List-Str. 13/15, Leipzig, 04103, Germanyen
dc.identifier.affiliationInstitute of Laboratory Medicine, Tertiary Hospital Dessau, Auenweg 38, Dessau-Roßlau, 06847, Germanyen
dc.identifier.affiliationInstitute of Anesthesiology, German Heart Center, Augustenburger Platz 1, Berlin, 13353, Germanyen
dc.identifier.affiliationDepartment of Nephrology & Hypertension, Cincinnati Children's Hospital, 3333 Burnet Ave, Cincinnati, OH 45229, USAen
dc.identifier.affiliationMedical Faculty, University Clinic for Cardiology & Angiology, Otto von-Guericke-University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germanyen
dc.identifier.affiliationMedical Faculty, Otto von-Guericke-University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germanyen
dc.identifier.affiliationIntensive Careen
dc.identifier.affiliationCentre for Integrated Critical Care, The University of Melbourne, Melbourne, Australiaen
dc.identifier.doi10.2217/bmm-2021-0283en
dc.type.contentTexten
dc.identifier.orcid0000-0002-1195-6871en
dc.identifier.orcid0000-0003-0714-6160en
dc.identifier.orcid0000-0002-5846-3345en
dc.identifier.orcid0000-0002-7847-8552en
dc.identifier.orcid0000-0002-6956-9962en
dc.identifier.orcid0000-0003-3401-6935en
dc.identifier.orcid0000-0002-1650-8939en
dc.identifier.orcid0000-0001-8212-7416en
dc.identifier.orcid0000-0001-6881-2249en
dc.identifier.pubmedid34672680-
local.name.researcherBellomo, Rinaldo
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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