ArticleKidney international2014
Evaluation of 32 urine biomarkers to predict the progression of acute kidney injury after cardiac surgery.
Article in Kidney international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed, 166 citations in OpenAlex.
- Furosemide Stress Test and Biomarkers for the Prediction of AKI Severity.Journal of the American Society of Nephrology : JASN · 2015Trial
- A Double Blind Randomized Clinical Trial of Remote Ischemic Conditioning in Live Donor Renal Transplantation.Medicine · 2015Trial
- Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.Renal failure · 2015Trial
- Advancements in early biomarkers of acute kidney injury: from traditional indicators to a paradigm shift in lactate metabolism.Annals of medicine · 2026Review
- Protective Effects and Mechanisms of Extracellular Vesicles in Remote Ischemic Preconditioning on Renal Injury Induced by Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Proteomic Characterization of Bottlenose Dolphin (Journal of proteome research · 2026Article
- Serum fibroblast growth factor 23 and kidney injury molecule-1 in the prediction of acute kidney injury in critically-ill patients.Renal failure · 2025Article
- Serum angiotensinogen as a biomarker for renal outcomes in patients with acute myocardial infarction: prognostic significance and clinical implications.BMC nephrology · 2025Observational
- Urinary Vitamin D Binding Protein and Kidney Injury Molecule-1 Are Potent Predictors of Acute Kidney Injury After Left Ventricular Assist Device Implantation.Biomedicines · 2025Article
- From past to present to future: Terlipressin and hepatorenal syndrome-acute kidney injury.Hepatology (Baltimore, Md.) · 2025Review
- Advances in the diagnosis of early biomarkers for acute kidney injury: a literature review.BMC nephrology · 2025Review
- The pathophysiological significance between autosomal dominant polycystic kidney disease and neutrophil gelatinase-associated lipocalin.Kidney research and clinical practice · 2025Article
- CLEAVAGE OF IGFBP-1 BY AN ENZYME IN URINE PREDICTS THE FUTURE NEED FOR KIDNEY REPLACEMENT THERAPY IN ACUTE KIDNEY INJURY.Transactions of the American Clinical and Climatological Association · 2025Article
- Modified furosemide responsiveness index and biomarkers for AKI progression and prognosis: a prospective observational study.Annals of intensive care · 2024Article
- AKI-Pro score for predicting progression to severe acute kidney injury or death in patients with early acute kidney injury after cardiac surgery.Journal of translational medicine · 2024Article
- Biomarkers in Contrast-Induced Acute Kidney Injury: Towards A New Perspective.International journal of molecular sciences · 2024Review
- Acute Kidney Injury after Cardiac Surgery: Prediction, Prevention, and Management.Anesthesiology · 2023Review
- Transcriptome analysis of renal ischemia/reperfusion (I/R) injury in BAFF and BAFF-R deficient mice.PloS one · 2023Article
- The Utility of Novel Kidney Injury Biomarkers in Early Detection of CSA-AKI.International journal of molecular sciences · 2022Article
- Burn-Induced Acute Kidney Injury-Two-Lane Road: From Molecular to Clinical Aspects.International journal of molecular sciences · 2022Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Biomarkers for acute kidney injury (AKI) have been used to predict the progression of AKI, but a systematic comparison of the prognostic ability of each biomarker alone or in combination has not been performed. In order to assess this, we measured the concentration of 32 candidate biomarkers in the urine of 95 patients with AKIN stage 1 after cardiac surgery. Urine markers were divided into eight groups based on the putative pathophysiological mechanism they reflect. We then compared the ability of the markers alone or in combination to predict the primary outcome of worsening AKI or death (23 patients) and the secondary outcome of AKIN stage 3 or death (13 patients). IL-18 was the best predictor of both outcomes (AUC of 0.74 and 0.89). L-FABP (AUC of 0.67 and 0.85), NGAL (AUC of 0.72 and 0.83), and KIM-1 (AUC of 0.73 and 0.81) were also good predictors. Correlation between most of the markers was generally related to their predictive ability, but KIM-1 had a relatively weak correlation with other markers. The combination of IL-18 and KIM-1 had a very good predictive value with an AUC of 0.93 to predict AKIN 3 or death. Thus, a combination of IL-18 and KIM-1 would result in improved identification of high-risk patients for enrollment in clinical trials.
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