Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/25792
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dc.contributor.authorAlbert, Christian-
dc.contributor.authorHaase, Michael-
dc.contributor.authorAlbert, Annemarie-
dc.contributor.authorErnst, Martin-
dc.contributor.authorKropf, Siegfried-
dc.contributor.authorBellomo, Rinaldo-
dc.contributor.authorWestphal, Sabine-
dc.contributor.authorBraun-Dullaeus, Rüdiger C-
dc.contributor.authorHaase-Fielitz, Anja-
dc.contributor.authorElitok, Saban-
dc.date.accessioned2021-02-07T23:58:05Z-
dc.date.available2021-02-07T23:58:05Z-
dc.date.issued2021-07-01-
dc.identifier.citationAnnals of Laboratory Medicine 2021; 41(4): 357-365en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/25792-
dc.description.abstractNeutrophil gelatinase-associated lipocalin (NGAL) and hepcidin-25 are involved in catalytic iron-related kidney injury after cardiac surgery with cardiopulmonary bypass. We explored the predictive value of plasma NGAL, plasma hepcidin-25, and the plasma NGAL:hepcidin-25 ratio for major adverse kidney events (MAKE) after cardiac surgery. We compared the predictive value of plasma NGAL, hepcidin-25, and plasma NGAL:hepcidin-25 with that of serum creatinine (Cr) and urinary output and protein for primary-endpoint MAKE (acute kidney injury [AKI] stages 2 and 3, persistent AKI >48 hours, acute dialysis, and in-hospital mortality) and secondary-endpoint AKI in 100 cardiac surgery patients at intensive care unit (ICU) admission. We performed ROC curve, logistic regression, and reclassification analyses. At ICU admission, plasma NGAL, plasma NGAL:hepcidin-25, plasma interleukin-6, and Cr predicted MAKE (area under the ROC curve [AUC]: 0.77, 0.79, 0.74, and 0.74, respectively) and AKI (0.73, 0.89, 0.70, and 0.69). For AKI prediction, plasma NGAL:hepcidin-25 had a higher discriminatory power than Cr (AUC difference 0.26 [95% CI 0.00-0.53]). Urinary output and protein, plasma lactate, C-reactive protein, creatine kinase myocardial band, and brain natriuretic peptide did not predict MAKE or AKI (AUC <0.70). Only plasma NGAL:hepcidin-25 correctly reclassified patients according to their MAKE and AKI status (category-free net reclassification improvement: 0.82 [95% CI 0.12-1.52], 1.03 [0.29-1.77]). After adjustment to the Cleveland risk score, plasma NGAL:hepcidin-25 ≥0.9 independently predicted MAKE (adjusted odds ratio 16.34 [95% CI 1.77-150.49], P=0.014). Plasma NGAL:hepcidin-25 is a promising marker for predicting postoperative MAKE.en
dc.language.isoeng
dc.subjectAcute kidney injuryen
dc.subjectCardiac surgeryen
dc.subjectCardiopulmonary bypassen
dc.subjectHepcidinen
dc.subjectMajor adverse kidney eventsen
dc.subjectNeutrophil gelatinase-associated lipocalinen
dc.subjectSerum creatinineen
dc.titlePredictive Value of Plasma NGAL:Hepcidin-25 for Major Adverse Kidney Events After Cardiac Surgery with Cardiopulmonary Bypass: A Pilot Study.en
dc.typeJournal Articleen
dc.identifier.journaltitleAnnals of Laboratory Medicineen
dc.identifier.affiliationMedical Faculty, University Clinic for Cardiology and Angiology, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationDiaverum Renal Services, MVZ Potsdam, Potsdam, Germanyen
dc.identifier.affiliationMedical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationDepartment of Nephrology and Endocrinology, Klinikum Ernst von Bergmann, Potsdam, Germanyen
dc.identifier.affiliationMedical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationInstitute for Biometrics and Medical Informatics, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationIntensive Careen
dc.identifier.affiliationCentre for Integrated Critical Care, The University of Melbourne, Melbourne, Australiaen
dc.identifier.affiliationInstitute of Laboratory Medicine, Hospital Dessau, Dessau, Germanyen
dc.identifier.affiliationMedical Faculty, University Clinic for Cardiology and Angiology, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationDepartment of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane, MHB, Germanyen
dc.identifier.affiliationInstitute of Social Medicine and Health Systems Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germanyen
dc.identifier.affiliationFaculty of Health Sciences Brandenburg, Potsdam, Germanyen
dc.identifier.doi10.3343/alm.2021.41.4.357en
dc.type.contentTexten
dc.identifier.orcid0000-0002-6956-9962en
dc.identifier.orcid0000-0001-8212-7416en
dc.identifier.orcid0000-0002-5611-1506en
dc.identifier.orcid0000-0003-3401-6935en
dc.identifier.orcid0000-0002-5197-3481en
dc.identifier.orcid0000-0002-1650-8939en
dc.identifier.orcid0000-0002-5846-3345en
dc.identifier.orcid0000-0003-3888-6532en
dc.identifier.orcid0000-0001-6881-2249en
dc.identifier.orcid0000-0002-1195-6871en
dc.identifier.pubmedid33536353
local.name.researcherBellomo, Rinaldo
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.languageiso639-1en-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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