Red cell distribution width to albumin ratio (RAR) as a predictor of clinical outcomes and in-hospital mortality in acute gastrointestinal bleeding: a retrospective analysis

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Authors: Azfar Khan Niazi, Mohammad Aquib, Carol M. Singh, Vikash Kumar, Aalam Sohal, Dalbir Sandhu
Cited by: 1
References: 18

Abstract

Background Nutritional status and systemic inflammation drive outcomes in acute gastrointestinal bleeding. While albumin and red cell distribution width track these states individually, their combination, the red cell distribution width to albumin ratio (RAR), may offer superior prognostic value.Methods Using the MIMIC-IV 3.1 database, 1508 adults admitted to the intensive care unit with gastrointestinal bleeding were analyzed. RAR was calculated and divided into quartiles. We assessed hospital, 28-day, and 1-year mortality using stepwise logistic regression, Cox proportional hazards models, and receiver operating characteristic analyses, adjusting for severity via Sequential Organ Failure Assessment and AIMS65 scores.Results The highest RAR quartile was independently associated with hospital mortality (adjusted odds ratio = 1.54 vs Q1, P = 0.02), and continuous RAR showed a progressive risk increase (odds ratio = 1.18 per unit, P < 0.001). Results remained consistent in sensitivity analysis excluding patients with cirrhosis and variceal bleeding. Cox models with continuous RAR predicted both 28-day (hazard ratio = 1.17, P < 0.001) and 1-year mortality (hazard ratio = 1.18, P < 0.001). RAR alone exhibited moderate discrimination (area under the curve [AUC] = 0.62) but provided incremental value when combined with Sequential Organ Failure Assessment (AUC = 0.77) or AIMS65 (AUC = 0.67).Conclusion The study suggests that RAR is a readily available marker that correlates with illness severity and is an independent predictor of mortality in acute gastrointestinal bleeding, even after accounting for chronic liver disease.

Fields of Study & Subjects

Inflammatory Biomarkers in Disease Prognosis Gastrointestinal Bleeding Diagnosis and Treatment Sepsis Diagnosis and Treatment

Publication details

Journal / source
Baylor University Medical Center Proceedings
Publisher
Informa UK Limited
Volume
39
Issue
3
Pages
407–416
Publication date
2 March 2026
Language
EN