Observational studyJournal of the American Society of Nephrology : JASN2015
Urinary Angiotensinogen Level Predicts AKI in Acute Decompensated Heart Failure: A Prospective, Two-Stage Study.
Observational study in Journal of the American Society of Nephrology : JASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.
- Kidney Disease and Heart Failure: Recent Advances and Current Challenges: Conclusions From a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.JACC. Heart failure · 2026Guideline
- Predictive and prognostic performance of urinary albumin-to-creatinine ratio for acute kidney injury: a systematic review and meta-analysis.Scientific reports · 2026Pooled it
- Incidence, mortality, and predictors of acute kidney injury in patients with heart failure: a systematic review.ESC heart failure · 2023Pooled it
- Urinary Biomarkers for the Risk Assessment and Management of Heart Failure: Pearls and Pitfalls.Current heart failure reports · 2026Review
- Transition from acute kidney injury to chronic kidney disease: molecular mechanisms and therapeutic interventions.Molecular biomedicine · 2026Review
- Serum angiotensinogen as a biomarker for renal outcomes in patients with acute myocardial infarction: prognostic significance and clinical implications.BMC nephrology · 2025Observational
- Urinary Cytokeratin 20 as a Biomarker for AKI-CKD Transition among Patients with Acute Decompensated Heart Failure and Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2025Article
- Acute kidney injury recovery status predicts mortality and cardiorenal outcomes in patients admitted with acute decompensated heart failure.Open heart · 2025Observational
- Urinary cytokeratin 20 as a predictor for chronic kidney disease following acute kidney injury.JCI insight · 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
- Acute kidney disease: an overview of the epidemiology, pathophysiology, and management.Kidney research and clinical practice · 2023Article
- New Insight in Cardiorenal Syndrome: From Biomarkers to Therapy.International journal of molecular sciences · 2023Review
- Observational
- Kidney Angiotensin in Cardiovascular Disease: Formation and Drug Targeting.Pharmacological reviews · 2022Review
- The incidence, risk factors and outcomes of acute kidney injury in critically ill patients undergoing emergency surgery: a prospective observational study.BMC nephrology · 2022Observational
- View of the Renin-Angiotensin System in Acute Kidney Injury Induced by Renal Ischemia-Reperfusion Injury.Journal of the renin-angiotensin-aldosterone system : JRAAS · 2022Review
- Using a machine learning model to predict the development of acute kidney injury in patients with heart failure.Frontiers in cardiovascular medicine · 2022Article
- Assessment of 17 clinically available renal biomarkers to predict acute kidney injury in critically ill patients.Journal of translational internal medicine · 2021Article
- The Many Faces of Matrix Metalloproteinase-7 in Kidney Diseases.Biomolecules · 2020Review
- Diagnostics, Risk Factors, Treatment and Outcomes of Acute Kidney Injury in a New Paradigm.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major challenge in prevention and early treatment of acute cardiorenal syndrome (CRS) is the lack of high-performance predictors. To test the hypothesis that urinary angiotensinogen (uAGT) is an early predictor for acute CRS and 1-year prognosis in patients with acute decompensated heart failure (ADHF), we performed a prospective, two-stage, multicenter cohort study in patients with ADHF. In stage I (test set), 317 patients were recruited from four centers. In stage II (validation set), 119 patients were enrolled from two other centers. Daily uAGT levels were analyzed consecutively. AKI was defined according to Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guidelines. In stage I, 104 (32.8%) patients developed AKI during hospitalization. Daily uAGT peaked on the first hospital day in patients who subsequently developed AKI. After multivariable adjustment, the highest quartile of uAGT on admission was associated with a 50-fold increased risk of AKI compared with the lowest quartile. For predicting AKI, uAGT (area under the receiver-operating characteristic curve [AUC]=0.84) outperformed urinary neutrophil gelatinase-associated lipocalin (AUC=0.78), the urinary albumin/creatinine ratio (AUC=0.71), and the clinical model (AUC=0.77). Survivors in stage I were followed prospectively for 1 year after hospital discharge. The uAGT level independently predicted the risk of 1-year mortality (adjusted odds ratio, 4.5; 95% confidence interval, 2.1 to 9.5) and rehospitalization (adjusted odds ratio, 3.6; 95% confidence interval, 1.6 to 5.7). The ability of uAGT in predicting AKI was validated in stage II (AUC=0.79). In conclusion, uAGT is a strong predictor for acute CRS and 1-year prognosis in ADHF.
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