Blood urea nitrogen to albumin ratio predicts risk of acute kidney injury and in-hospital mortality associated with immunological and surgical diseases: A retrospective analysis of 1994 patients.

Autor: Chen X; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Zhou J; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Wang R; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Wang Y; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Luo S; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Yang J; Department of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Wang S; Department of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Yang L; Department of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China., Qiu L; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China. Electronic address: qiulihx@scu.edu.cn.
Jazyk: angličtina
Zdroj: International immunopharmacology [Int Immunopharmacol] 2024 Dec 25; Vol. 143 (Pt 3), pp. 113600. Date of Electronic Publication: 2024 Nov 15.
DOI: 10.1016/j.intimp.2024.113600
Abstrakt: Background: Acute kidney injury (AKI) is a common complication in hospitalized patients and contributes to high in-hospital mortality. Blood urea nitrogen to albumin ratio (BAR) represents a marker of inflammation, nutritional status, and renal function that predicts the prognosis of different diseases. The aim of this study was to investigate the relationship between BAR and the incidence of AKI and in-hospital mortality in patients with immunological and surgical diseases.
Methods: We retrospectively enrolled hospitalized patients with immunological and surgical diseases at the West China Hospital of Sichuan University from 1 January 2010 to 1 April 2024. Logistic regression models for AKI and in-hospital mortality were performed.
Results: Of the 1994 admissions, AKI occurred in 923 (46.3 %) patients, and 390 (19.6 %) patients died in hospital. In multivariate logistic regression analysis, the predictive role of BAR ≥ 0.28 for AKI remained significant in both adjusted model 1 (OR = 4.879), adjusted model 2 (OR = 4.831), adjusted model 3 (OR = 5.275), adjusted model 4 (OR = 3.039), and adjusted model 5 (OR = 2.709). BAR ≥ 0.6 for in-hospital mortality remained significant in both adjusted model 1 (OR = 5.210), adjusted model 2 (OR = 5.210), adjusted model 3 (OR = 4.861), adjusted model 4 (OR = 3.372), and adjusted model 5 (OR = 3.424). After adjusting for multiple confounders, this association persisted across subgroups.
Conclusion: In patients with immunological and surgical diseases, BAR is useful for early identification of patient at high risk of AKI and in-hospital mortality.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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