ArticleBMC nephrology2020
Acute kidney disease and acute kidney injury biomarkers in coronary care unit patients.
Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis.Critical care (London, England) · 2022Pooled it
- Short- and long-term outcomes of elderly patients with acute kidney injury to acute kidney disease.Journal of intensive care · 2026Article
- Blood pressure response index and acute kidney injury progression in heart failure patients: a retrospective cohort study from MIMIC-IV.BMC nephrology · 2025Article
- Machine learning models for predicting renal injury in patients with gout.Renal failure · 2025Article
- The burden of acute kidney disease: an epidemiological review and importance of follow-up care.Clinical kidney journal · 2025Review
- IL-18 and IL-18BP: A Unique Dyad in Health and Disease.International journal of molecular sciences · 2024Review
- Predicting pre- and post-operative acute kidney injury in elderly patients with coronary artery disease.Heliyon · 2024Article
- GLP-1 receptor agonists' impact on cardio-renal outcomes and mortality in T2D with acute kidney disease.Nature communications · 2024Article
- Recent Update on Acute Kidney Injury-to-Chronic Kidney Disease Transition.Yonsei medical journal · 2024Review
- Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.Journal of medical Internet research · 2024Article
- Recovery Dynamics and Prognosis After Dialysis for Acute Kidney Injury.JAMA network open · 2024Article
- Predictive Performance of Neutrophil Gelatinase Associated Lipocalin, Liver Type Fatty Acid Binding Protein, and Cystatin C for Acute Kidney Injury and Mortality in Severely Ill Patients.Annals of laboratory medicine · 2024Article
- Sodium-Glucose Cotransport Protein 2 Inhibitors in Patients With Type 2 Diabetes and Acute Kidney Disease.JAMA network open · 2024Article
- Currently Used Methods to Evaluate the Efficacy of Therapeutic Drugs and Kidney Safety.Biomolecules · 2023Review
- Outcomes associated with acute kidney disease: A systematic review and meta-analysis.EClinicalMedicine · 2023Article
- Risk factors and 180-day mortality of acute kidney disease in critically ill patients: A multi-institutional study.Frontiers in medicine · 2023Article
- Effects of Bismuth Exposure on the Human Kidney-A Systematic Review.Antibiotics (Basel, Switzerland) · 2022Review
- Plasma thrombomodulin levels are associated with acute kidney injury in patients with acute heart failure.Annals of medicine · 2022Article
- Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.Renal failure · 2022Article
- Acute Kidney Disease After Acute Decompensated Heart Failure.Kidney international reports · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAcute kidney disease (AKD) describes acute or subacute damage and/or loss of kidney function for a duration of between 7 and 90 days after exposure to an acute kidney injury (AKI) initiating event. This study investigated the predictive ability of AKI biomarkers in predicting AKD in coronary care unit (CCU) patients.
methodsA total of 269 (mean age: 64 years; 202 (75%) men and 67 (25%) women) patients admitted to the CCU of a tertiary care teaching hospital from November 2009 to September 2014 were enrolled. Information considered necessary to evaluate 31 demographic, clinical and laboratory variables (including AKI biomarkers) was prospectively recorded on the first day of CCU admission for post hoc analysis as predictors of AKD. Blood and urinary samples of the enrolled patients were tested for neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (CysC) and interleukin-18 (IL-18).
resultsThe overall hospital mortality rate was 4.8%. Of the 269 patients, 128 (47.6%) had AKD. Multivariate logistic regression analysis revealed that age, hemoglobin, ejection fraction and serum IL-18 were independent predictors of AKD. Cumulative survival rates at 5 years of follow-up after hospital discharge differed significantly (p < 0.001) between subgroups of patients diagnosed with AKD (stage 0A, 0C, 1, 2 and 3). The overall 5-year survival rate was 81.8% (220/269). Multivariate Cox proportional hazard analysis revealed that urine NGAL, body weight and hemoglobin level were independent risk factors for 5-year mortality.
conclusionsThis investigation confirmed that AKI biomarkers can predict AKD in CCU patients. Age, hemoglobin, ejection fraction and serum IL-18 were independently associated with developing AKD in the CCU patients, and urine NGAL, body weight and hemoglobin level could predict 5-year survival in these patients.
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