MODIFIED KDIGO FOR PREDICTING MORTALITY IN ICU PATIENTS RECEIVING CONTINUOUS RENAL REPLACEMENT THERAPY FOR ACUTE RENAL FAILURE: KDIGO-URINARY OUTPUT VS. KDIGO-SERUM CREATININE LEVEL

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dc.authorid0000-0003-1996-7505en_US
dc.authorid0000-0001-5337-5226en_US
dc.contributor.authorTulgar, Serkan
dc.contributor.authorCakiroglu, Basri
dc.contributor.authorCevik, Banu Eler
dc.contributor.authorKarakilic, Evvah
dc.contributor.authorAtes, Nagihan Gozde
dc.contributor.authorGergerli, Ruken
dc.contributor.authorOzdemir, Erman
dc.date.accessioned2024-07-12T21:44:17Z
dc.date.available2024-07-12T21:44:17Z
dc.date.issued2016en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractIntroduction: Acute Renal Injury (ARI) is a constant problem for patients in intensive care and Continuous Renal Replacement Therapy (CRRT) is an ever-more important part of acute renal injury (ARI) treatment. Various criteria have been used for the diagnosis and classification of acute renal failure, including RIFLE (Risk-Injury-Failure-Loss-End stage), AKIN (Acute Kidney Injury Network) and most recently KDIGO (Kidney Disease: Improving Global Outcomes). Many studies have only evaluated urinary output or serum creatinine when categorizing ARI. Our aim was to determine the predictors of mortality in intensive care patients treated with CRRT and to compare mortality with ARI level as determined by KDIGO-Serum Creatinine (KDIGO-SCr) and KDIGO-urinary output (KDIGO-UO) Materials and methods: This retrospective study was performed on intensive care patients receiving CRRT at our institute between January 2010-December 2011. Patient files were reviewed and demographic data, hospitalization time, laboratory findings, CRRT commencement and ARI levels were noted. Results: Seventy patients were included in the study. Mortality was found to be associated with patients' age, Glascow Coma Scale (GCS) score, Acute Physiology and Chronic Health Evaluation (APACHE) II score and adjusted predicted death rate. (p<0,01). Receiver Operating Curve (ROC) area under the curve was statistically significant for determination of mortality using KDIGO-SCR (p<0.01) although the same was not true for KDIGO-UO (p>0.05). Conclusions: We believe that RIFLE, AKIN, KDIGO criteria are each good predictors of mortality. In the case of KDIGO criteria, based solely on serum creatinine or urinary output, KDIGO-SCr was found to be a better predictor of mortality when compared to KDIGO-UO.en_US
dc.identifier.doi10.19193/0393-6384_2016_3_88
dc.identifier.endpage778en_US
dc.identifier.issn0393-6384
dc.identifier.issn2283-9720
dc.identifier.issue3en_US
dc.identifier.startpage773en_US
dc.identifier.urihttps://dx.doi.org/10.19193/0393-6384_2016_3_88
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7708
dc.identifier.volume32en_US
dc.identifier.wosWOS:000376693400017en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherCARBONE EDITOREen_US
dc.relation.ispartofACTA MEDICA MEDITERRANEAen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY00046
dc.subjectKDIGOen_US
dc.subjectAcute Renal Injuryen_US
dc.subjectCritical Careen_US
dc.subjectCreatinineen_US
dc.titleMODIFIED KDIGO FOR PREDICTING MORTALITY IN ICU PATIENTS RECEIVING CONTINUOUS RENAL REPLACEMENT THERAPY FOR ACUTE RENAL FAILURE: KDIGO-URINARY OUTPUT VS. KDIGO-SERUM CREATININE LEVELen_US
dc.typeArticle
dspace.entity.typePublication

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