Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12734
Title: Assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury.
Austin Authors: Bell, Max;Larsson, Anders;Venge, Per;Bellomo, Rinaldo ;Mårtensson, Johan
Affiliation: Section 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, Australia
Department 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, Australia
Section of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, 17176 Stockholm, Sweden.
Clinical Chemistry, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden.
Issue Date: 18-Mar-2015
Publication information: Disease Markers 2015; 2015(): 158658
Abstract: To 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.
Gov't Doc #: 25866432
URI: http://ahro.austin.org.au/austinjspui/handle/1/12734
DOI: 10.1155/2015/158658
URL: https://pubmed.ncbi.nlm.nih.gov/25866432
Type: Journal Article
Appears in Collections:Journal articles

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