ArticleScientific reports2025
Independent prognostic importance of blood urea nitrogen to albumin ratio in critically ill patients with congestive heart failure.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Associations of the C-Reactive Protein-Albumin-Lymphocyte Index, Red Cell Distribution Width-Albumin Ratio, and Blood Urea Nitrogen-Albumin Ratio With All-Cause and Cardiovascular Mortality Among Adults With Preclinical Heart Failure.Clinical cardiology · 2026Article
- Association between blood urea nitrogen to albumin ratio and 28-day mortality of acute heart failure in intensive care unit: analysis based on MIMIC-IV database.BMC cardiovascular disorders · 2026Article
- Association between the blood urea nitrogen to albumin ratio and 30-day mortality in critically ill children with acute kidney injury.Scientific reports · 2026Article
- Prognostic value of blood urea nitrogen to albumin ratio in critically ill cirrhotic patients with ascites.Scientific reports · 2026Article
- Establishment and validation of a machine learning-based predictive model for in-hospital mortality risk in acute myocardial infarction patients complicated with diabetes mellitus.Frontiers in cardiovascular medicine · 2026Article
- Systemic inflammation, multi-organ injury, and acute kidney risk in psittacosis pneumonia: a biomarker-driven clinical characterization.Frontiers in cellular and infection microbiology · 2026Article
- Plasma Osmolality in Cardiovascular Disease: Association, Mechanisms, and Clinical Meaning.Arquivos brasileiros de cardiologia · 2026Article
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3 authors.
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Abstract
New studies have revealed an association between chronic heart failure, the severity of septic shock, and the blood urea nitrogen to albumin ratio (BAR). Nevertheless, its role in congestive heart failure patients admitted to the intensive care unit remains unclear. This study aimed to investigate the association between BAR and mortality among these patients. The present study analyzed data from the MIMIC-IV (version 2.2) database, targeting patients with congestive heart failure. The study outcome was all-cause mortality within the first year after discharge. Patients were categorized into three groups-T1, T2, and T3-based on tertiles of BAR levels. To explore the relationship between BAR and mortality, Kaplan-Meier survival curves and multivariate Cox proportional hazards models, adjusted for potential confounders, were employed. Additionally, a dose-response relationship between BAR and mortality risk was evaluated using a restricted cubic spline model and threshold effect analysis. Subgroup analyses were conducted across diverse populations to assess the prognostic value of BAR. Furthermore, the predictive capabilities of blood urea nitrogen, albumin, blood urea nitrogen combined with albumin, and BAR were assessed through receiver operating characteristic analysis. The cohort comprised 4506 patients diagnosed with congestive heart failure. Kaplan-Meier curves revealed that all-cause mortality was significantly elevated in patients within the higher BAR tertiles (p < 0.001). Multivariate Cox regression analysis indicated that patients in the T2 (hazard ratio (HR): 1.20, 95% confidence interval (CI): 1.06 ~ 1.36) and T3 groups (HR: 1.37, 95% CI: 1.18 ~ 1.57) had a significant increase in mortality risk relative to the T1 group (p for linear trend < 0.001). Most subgroups showed this association, with the exception of variations of levels in creatinine, blood urea nitrogen, alkaline phosphatase, and alanine aminotransferase. Notably, the BAR demonstrated superior predictive accuracy for mortality compared to blood urea nitrogen or serum albumin alone, while exhibiting comparable performance to their combined measure. Among ICU patients with congestive heart failure, an elevated BAR was associated with an increased risk of all-cause 1-year mortality, particularly in those with less impaired liver and kidney function. Therefore, BAR may be measured to comprehensively evaluate the patients' prognosis.
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