Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12734
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dc.contributor.authorBell, Maxen
dc.contributor.authorLarsson, Andersen
dc.contributor.authorVenge, Peren
dc.contributor.authorBellomo, Rinaldoen
dc.contributor.authorMårtensson, Johanen
dc.date.accessioned2015-05-16T02:28:00Z
dc.date.available2015-05-16T02:28:00Z
dc.date.issued2015-03-18en
dc.identifier.citationDisease Markers 2015; 2015(): 158658en
dc.identifier.govdoc25866432en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/12734en
dc.description.abstractTo assess urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary cystatin-C as acute kidney injury predictors (AKI) exploring the association of nonrenal factors with elevated biomarker levels.We studied 94 patients with urine collected within 48 hours of ICU admission and no AKI at sampling. AKI was defined by the Kidney Disease: Improving Global Outcomes criteria. Predictive performance was assessed by the area under the receiver operating characteristics (ROC) curve. Associations between biomarkers and clinical factors were assessed by multivariate linear regression.Overall, 19 patients (20%) developed AKI within 48 hours. [TIMP-2]·[IGFBP7], NGAL, or cystatin-C admission levels did not differ between patients without AKI and patients developing AKI. [TIMP-2]·[IGFBP7], NGAL, and cystatin-C were poor AKI predictors (ROC areas 0.34-0.51). Diabetes was independently associated with higher [TIMP-2]·[IGFBP7] levels (P = 0.02) but AKI was not (P = 0.24). Sepsis was independently associated with higher NGAL (P < 0.001) and cystatin-C (P = 0.003) levels.Urinary [TIMP-2]·[IGFBP7], NGAL, and cystatin-C should be used cautiously as AKI predictors in general ICU patients since urine levels of these biomarkers are affected by factors other than AKI and their performance can be poor.en
dc.language.isoenen
dc.titleAssessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury.en
dc.typeJournal Articleen
dc.identifier.journaltitleDisease markersen
dc.identifier.affiliationSection of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, 17176 Stockholm, Sweden ; Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, VIC 3084, Australiaen
dc.identifier.affiliationDepartment of Intensive Care, Austin Hospital, Heidelberg, Melbourne, VIC 3084, Australia ; Australian and New Zealand Intensive Care Research Centre, School of Preventive Medicine and Public Health, Monash University, Melbourne, VIC 3800, Australiaen
dc.identifier.affiliationSection of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, 17176 Stockholm, Sweden.en
dc.identifier.affiliationClinical Chemistry, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden.en
dc.identifier.doi10.1155/2015/158658en
dc.description.pages158658en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/25866432en
dc.type.austinJournal Articleen
local.name.researcherBellomo, Rinaldo
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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