Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12097
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dc.contributor.authorFujii, Tomokoen
dc.contributor.authorUchino, Shigehikoen
dc.contributor.authorTakinami, Masanorien
dc.contributor.authorBellomo, Rinaldoen
dc.date.accessioned2015-05-16T01:44:40Z
dc.date.available2015-05-16T01:44:40Z
dc.date.issued2014-02-27en
dc.identifier.citationClinical Journal of the American Society of Nephrology : Cjasn 2014; 9(5): 848-54en
dc.identifier.govdoc24578334en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/12097en
dc.description.abstractAKI is a major clinical problem and predictor of outcome in hospitalized patients. In 2013, the Kidney Disease: Improving Global Outcomes (KDIGO) group published the third consensus AKI definition and classification system after the Risk, Injury, Failure, Loss of Kidney Function, and End-Stage Kidney Disease (RIFLE) and the Acute Kidney Injury Network (AKIN) working group systems. It is unclear which system achieves optimal prognostication in hospital patients.A retrospective observational study using hospital laboratory, admission, and discharge databases was performed that included adult patients admitted to a teaching hospital in Tokyo, Japan between April 1, 2008, and October 31, 2011. AKI occurring during each hospital stay was identified, and discriminative ability of each AKI classification system based on serum creatinine for the prediction of hospital mortality was assessed. The receiver operating characteristic curve, a graphical measure of test performance, and the area under the curve were used to evaluate how classifications preformed on the study population.In total, 49,518 admissions were studied, of which 11.0% were diagnosed with RIFLE criteria and 11.6% were diagnosed with KDIGO criteria, but only 4.8% were diagnosed with AKIN criteria. Overall hospital mortality was 3.0%. AKI staging and hospital mortality were closely correlated in all systems. Discrimination for hospital mortality was similar for RIFLE and KDIGO criteria (area under the curve=0.77 versus 0.78; P=0.02), whereas AKIN discrimination was inferior (area under the curve=0.69 versus RIFLE [P<0.001] versus KDIGO [P<0.001]).Among hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.en
dc.language.isoenen
dc.subject.otheracute renal failureen
dc.subject.otherhospitalizationen
dc.subject.othermortalityen
dc.subject.otherAcute Kidney Injury.blood.classification.diagnosis.mortalityen
dc.subject.otherAgeden
dc.subject.otherArea Under Curveen
dc.subject.otherCreatinine.blooden
dc.subject.otherFemaleen
dc.subject.otherHospital Mortalityen
dc.subject.otherHospitalizationen
dc.subject.otherHumansen
dc.subject.otherJapan.epidemiologyen
dc.subject.otherMaleen
dc.subject.otherMiddle Ageden
dc.subject.otherPredictive Value of Testsen
dc.subject.otherPrognosisen
dc.subject.otherROC Curveen
dc.subject.otherRetrospective Studiesen
dc.titleValidation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients.en
dc.typeJournal Articleen
dc.identifier.journaltitleClinical journal of the American Society of Nephrology : CJASNen
dc.identifier.affiliationIntensive Care Unit, Department of Anesthesiology, The Jikei University School of Medicine, Tokyo, Japan, †Department of Intensive Care, Austin Hospital, Melbourne, Victoria, Australiaen
dc.identifier.doi10.2215/CJN.09530913en
dc.description.pages848-54en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/24578334en
dc.type.austinJournal Articleen
local.name.researcherBellomo, Rinaldo
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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