ArticleBMC nephrology2018
Biomarker enhanced risk prediction for development of AKI after cardiac surgery.
Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Exploring therapeutic mechanisms of Chuan Huang Fang-II in the treatment of acute kidney injury on chronic kidney disease patients from the perspective of lipidomics.Renal failure · 2024Trial
- Iron-related protein in prediction of acute kidney injury in the pediatric population after cardiac surgery.Journal of cardiothoracic surgery · 2025Article
- The role of complement in kidney disease.Nature reviews. Nephrology · 2023Review
- Article
- Recent Advances of Proteomics in Management of Acute Kidney Injury.Diagnostics (Basel, Switzerland) · 2023Review
- Identifying potential biomarkers for the diagnosis and treatment of IgA nephropathy based on bioinformatics analysis.BMC medical genomics · 2023Article
- Determination of a microRNA signature of protective kidney ischemic preconditioning originating from proximal tubules.Scientific reports · 2021Article
- Rational selection of a biomarker panel targeting unmet clinical needs in kidney injury.Clinical proteomics · 2021Review
- Present Situation and Research Progress of Kidney Function Recoverability Evaluation of Acute Kidney Injury Patient.International journal of general medicine · 2021Review
- Acute kidney injury overview: From basic findings to new prevention and therapy strategies.Pharmacology & therapeutics · 2019Review
- Intraoperative Oliguria with Decreased SvO₂ Predicts Acute Kidney Injury after Living Donor Liver Transplantation.Journal of clinical medicine · 2018Article
- Is pre-operative monocyte count-high-density lipoprotein ratio associated with postoperative acute kidney injury in isolated coronary artery bypass grafting?Cardiovascular journal of AfricaArticle
- Investigating preoperative myoglobin level as predictive factor for acute kidney injury following cardiac surgery with cardiopulmonary bypass: a retrospective observational study.Brazilian journal of anesthesiology (Elsevier)Observational
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAcute kidney injury (AKI) is a common post-cardiac surgery complication and influences patient morbidity and prognosis. This study was designed to identify preoperative candidate urine biomarkers in patients undergoing cardiac surgery.
methodsA prospective cohort study of adults undergoing cardiac surgery at increased risk for AKI at a single hospital between July 2010 and September 2012 was performed. The primary outcome was the development of AKI, defined as an absolute serum creatinine (SCr) level increase ≥ 0.5 mg/dL or a ≥ 50% relative increase within 72 h of surgery. A secondary outcome was development of AKI defined by Kidney Disease Improving Global Outcomes (KDIGO). Urine collected by voiding within 4 h prior to surgery was used for proteomic analysis and confirmatory enzyme linked immunosorbent assays (ELISAs) studies. Biomarkers were tested for AKI-prediction using Cox and Snell R
resultsForty-seven of 755 patients met screening criteria including 15 with AKI. Proteomic analysis identified 29 proteins with a significant ≥2-fold change. Confirmatory ELISA measurements of five candidate markers showed urinary complement factor B (CFB) and histidine rich glycoprotein (HRG) concentrations were significantly increased in patients with AKI. By multivariate analysis, NRI, and IDI the addition of CFB and HRG to the standard clinical assessment significantly improved risk prediction for the primary outcome. Only HRG was a significant predictor in the 21 patients with AKI defined by KDIGO criteria.
conclusionsPre-operative urine measurement of CFB or HRG significantly enhanced the current post-surgery AKI risk stratification for more restrictive definition of AKI. HRG, but not CFB or clinical risk stratification, predicted AKI defined by KDIGO. The ability of these biomarkers to predict risk for dialysis-requiring AKI or death could not be reliably assessed in our study due to a small number of patients with either outcome.
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