| Related Articles |
Predicting the development of acute kidney injury in liver cirrhosis - an analysis of glomerular filtration rate, proteinuria and kidney injury biomarkers.
Aliment Pharmacol Ther. 2013 Apr 12;
Authors: Slack AJ, McPhail MJ, Ostermann M, Bruce M, Sherwood R, Musto R, Dew T, Auzinger G, Bernal W, O'Grady J, Heneghan MA, Moore K, Wendon JA
Abstract
BACKGROUND: The timely diagnosis of acute kidney injury (AKI) in liver cirrhosis is challenging. AIM: To evaluate whether quantification of glomerular filtration rate (GFR), proteinuria and kidney injury biomarkers can accurately predict the development of AKI. METHODS: A prospective cohort analysis of patients with cirrhosis was performed. Measures of baseline kidney function included serum creatinine, iohexol clearance and urine protein:creatinine ratio. Blood and urine samples were collected daily. A retrospective analysis of cystatin C GFR and neutrophil gelatinase-associated lipocalin (NGAL) measured 48 h prior to the diagnosis of AKI was undertaken to evaluate their ability to predict the development of AKI. RESULTS: Eighteen of the 34 cirrhosis patients studied developed AKI. A GFR <60 mL/min/1.73 m(2) was identified in 56% with Iohexol clearance compared to 8% using the four-variable modified diet in renal disease formula (P < 0.0001). Prediction of AKI, 48 h prior to the development of AKI with cystatin C GFR and serum NGAL concentration were similar; area under the receiver operating curve (AUROC) values 0.74 (0.51-0.97), P = 0.04 and 0.72 (0.52-0.92), P = 0.02 respectively. The development of AKI was strongly predicted by urine protein:creatinine ratio above the cut-off of >30 (equivalent to 300 mg/day of proteinuria) sensitivity 82% (57-96) and specificity 80% (52-96), AUROC 0.86 (0.73-0.98), P ≤ 0.0001. [OR 21 (3-133), P ≤ 0.002]. CONCLUSIONS: In patients with liver cirrhosis a urine protein:creatinine ratio >30 predicts AKI. Iohexol clearance and cystatin C formulae identify a greater proportion of patients with a GFR <60 mL/min/1.73 m(2) , which also predicts the development of AKI.
PMID: 23577724 [PubMed - as supplied by publisher]