ArticleCritical care (London, England)2018
Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery.
Article in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 5 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Proenkephalin as a biomarker correlates with acute kidney injury: a systematic review with meta-analysis and trial sequential analysis.Critical care (London, England) · 2023Pooled it
- Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy.BMC nephrology · 2022Pooled it
- 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
- The value of kidney injury molecule 1 in predicting acute kidney injury in adult patients: a systematic review and Bayesian meta-analysis.Journal of translational medicine · 2021Pooled it
- Controversies in acute kidney injury: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Conference.Kidney international · 2020 · on this mapGuideline
- Machine learning models for predicting renal injury in patients with gout.Renal failure · 2025Article
- Trajectories of urea‑to‑creatinine ratio and risk of clinical outcomes in survivors of acute kidney disease: a population-based study.Clinical kidney journal · 2025Article
- Development and validation of a predictive model for acute kidney injury in patients with ureterolithiasis.Renal failure · 2024Article
- Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs.Kidney research and clinical practice · 2024Article
- [Artificial intelligence and acute kidney injury].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024Review
- Recovery Dynamics and Prognosis After Dialysis for Acute Kidney Injury.JAMA network open · 2024Article
- An early warning model to predict acute kidney injury in sepsis patients with prior hypertension.Heliyon · 2024Article
- Circulating Fibroblast Growth Factor-23 Levels Can Predict Rapid Kidney Function Decline in a Healthy Population: A Community-Based Study.Biomolecules · 2022Article
- Construction and validation of an early warning model for predicting the acute kidney injury in elderly patients with sepsis.Aging clinical and experimental research · 2022Article
- Neuroblastoma suppressor of tumorigenicity 1 is a circulating protein associated with progression to end-stage kidney disease in diabetes.Science translational medicine · 2022Article
- Distinct Subtyping of Successful Weaning from Acute Kidney Injury Requiring Renal Replacement Therapy by Consensus Clustering in Critically Ill Patients.Biomedicines · 2022Article
- Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock.Disease markers · 2022Article
- Predicting Risk Factors of Acute Kidney Injury in the First 7 Days after Admission: Analysis of a Group of Critically Ill Patients.Cardiovascular therapeutics · 2022Article
- A Predictive Model Based on Inflammatory and Coagulation Indicators for Sepsis-Induced Acute Kidney Injury.Journal of inflammation research · 2022Article
- STXBP3 and GOT2 predict immunological activity in acute allograft rejection.Frontiers in immunology · 2022Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI.
methodsIn this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge.
resultsPatients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC = 0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano's score was superior in predicting advanced AKI (AUC = 0.931, category-free net reclassification improvement of 1.149, and p < 0.001).
conclusionsWhen added to Liano's score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes.
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