Observational studyInternational journal of surgery (London, England)2026
Blood urea nitrogen to albumin ratio as a robust predictor of in-hospital mortality in patients with predicted severe acute pancreatitis: a retrospective multicenter observational study.
Observational study in International journal of surgery (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Bar-Based Nomogram for Predicting Septic Shock in Patients with Acute Pancreatitis Complicated by Sepsis: Development and External Validation.Shock (Augusta, Ga.) · 2026Article
- Preoperative BUN-to-Albumin Ratio Is Independently Associated with Major Reamputation After Distal Amputation in Diabetic Foot: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Blood urea nitrogen-to-albumin ratio predicts mortality in acute graft-versus- host disease after allogeneic stem cell transplantation.Frontiers in immunology · 2026Article
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17 authors.
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Abstract
backgroundDespite the established role of blood urea nitrogen-to-albumin ratio (BAR) in critical care, its prognostic value in acute pancreatitis remains unvalidated. This multicenter study assessed BAR's accuracy as an admission biomarker for predicting in-hospital mortality in predicted severe acute pancreatitis (SAP) cases.
methodsThis retrospective study enrolled 5384 patients from the LOCAL cohort and 494 patients from a multicenter double-blind randomized controlled trial (TRACE cohort), all of whom were predicted to have SAP (APACHE II ≥8) upon admission. Cox regression models were employed in two independent cohorts to explore the association between BAR and the risk of in-hospital mortality in subjects, and a restricted cubic spline regression was further constructed. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve was determined to evaluate the predictive capacity of BAR, blood urea nitrogen (BUN), albumin (ALB) and traditional scoring systems (APACHE II, SIRS, and BISAP) for in-hospital mortality. Time-dependent ROC analysis was also performed to assess the predictive performance of BUN and BAR at multiple time points.
resultsIn the LOCAL and TRACE cohorts, 320 (5.94%) and 39 (7.89%) patients died during hospitalization, respectively. Multivariable Cox regression models showed a significant positive association between BAR and the risk of in-hospital mortality [HR: LOCAL 1.23 (1.16-1.31); TRACE 1.33 (1.01-1.76)], while the restricted cubic spline analysis suggested a potential nonlinear relationship ( P for nonlinearity < 0.001). In prognostic prediction, BAR demonstrated significantly better performance than traditional scoring systems, BUN and ALB, and showed high accuracy in predicting outcomes for patients with biliary acute pancreatitis (AP) in both cohorts (area under the curve: LOCAL 0.8696; TRACE 0.8633). Additionally, time-dependent ROC analysis revealed that BAR demonstrated superior accuracy and stability in predicting mortality risk at 3, 5, 7, 9, 14, 28, 60, and 90 days, compared to BUN alone.
conclusionThis study is the first to demonstrate that BAR significantly improves the predictive accuracy of BUN and ALB for in-hospital mortality in predicted SAP patients, with particular effectiveness in predicting outcomes for biliary AP patients.
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