ArticleJournal of translational internal medicine2021
Assessment of 17 clinically available renal biomarkers to predict acute kidney injury in critically ill patients.
Article in Journal of translational internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- The Role of Cystatin C in the Prediction of Contrast-Induced Acute Kidney Injury Following Coronary Procedures: A Systematic Review.Reviews in cardiovascular medicine · 2025Pooled it
- Prediction of acute kidney injury after total aortic arch replacement with postoperative serum lactate: a retrospective cohort study.Renal failure · 2026Article
- Advancements in early biomarkers of acute kidney injury: from traditional indicators to a paradigm shift in lactate metabolism.Annals of medicine · 2026Review
- Prediction of intraoperative acquired pressure injury in elderly cardiac surgery patients via machine learning: model development with the MIMIC-IV and external validation.BMC medical informatics and decision making · 2025Article
- The new insights of lactate in various kidney diseases.Expert reviews in molecular medicine · 2025Review
- Combining cardiac and renal biomarkers to establish a clinical early prediction model for cardiac surgery-associated acute kidney injury: a prospective observational study.Journal of thoracic disease · 2024Article
- The nadir platelet count in the first 48 h after ICU admission is a potential predictor of acute kidney injury in hemorrhagic shock patients.BMC cardiovascular disorders · 2024Observational
- Article
- Initial lactate levels linked to oliguria in term neonates with perinatal asphyxia.Pediatric nephrology (Berlin, Germany) · 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
- The role of serum magnesium in the prediction of acute kidney injury after total aortic arch replacement: A prospective observational study.Journal of medical biochemistry · 2024Article
- Article
- Article
- Prediction of acute kidney injury after cardiac surgery with fibrinogen-to-albumin ratio: a prospective observational study.Frontiers in cardiovascular medicine · 2024Article
- Plasma indole-3-aldehyde as a novel biomarker of acute kidney injury after cardiac surgery: a reanalysis using prospective metabolomic data.BMC anesthesiology · 2023Article
- Risk factors for post-traumatic stress disorder among young and middle-aged cancer patients in the intensive care unit: A case-control study.World journal of clinical cases · 2023Article
- Defining a postoperative mean arterial pressure threshold in association with acute kidney injury after cardiac surgery: a prospective observational study.Internal and emergency medicine · 2023Observational
- Optimal Teicoplanin Dosage Regimens in Critically Ill Patients: Population Pharmacokinetics and Dosing Simulations Based on Renal Function and Infection Type.Drug design, development and therapy · 2023Observational
- Novel Biomarkers of Renal Dysfunction and Congestion in Heart Failure.Journal of personalized medicine · 2022Review
- Determination of HMGB1 in hepatitis B virus-related acute-on-chronic liver failure patients with acute kidney injury: Early prediction and prognostic implications.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSystematic estimation of renal biomarkers in the intensive care unit (ICU) patients is lacking. Seventeen biomarkers were assessed to predict acute kidney injury (AKI) after admission to ICU. MATERIALS AND
methodsA prospective, observational study was conducted in the general ICU of Guangdong Provincial People's Hospital. Seventeen serum or urine biomarkers were studied for their abilities alone or in combination for predicting AKI and severe AKI.
resultsOf 1498 patients, 376 (25.1%) developed AKI. Serum cystatin C (CysC) showed the best performance for predicting both AKI (area under the receiver operator characteristic curve [AUC] = 0.785, mean square error [MSE] = 0.118) and severe AKI (AUC = 0.883, MSE = 0.06). Regarding biomarkers combinations, CysC plus
conclusionApart from CysC, the combination of most clinically available biomarkers or clinical markers does not significantly improve the forecasting ability, and the cost-benefit ratio is not economical.
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