Relationship between anion gap and 28-day all-cause mortality in patients with acute pulmonary edema: A retrospective analysis of the MIMIC-IV database

P Ping Guo (Department of Biochemistry, School of Medicine, 15 North Medical Drive East, Salt Lake City, Utah 84112, United States) Y Yuwen Liu X Xiaomi Huang Y Yanfang Zeng Z Zhonglan Cai G Guang Tu

Abstract

Background Acute pulmonary edema is a severe clinical condition with high mortality. The anion gap, reflecting metabolic acid-base disturbances, is often elevated in critically ill patients. However, its relationship with outcomes in acute pulmonary edema remains unclear. Objective To explore the association between admission anion gap levels and 28-day all-cause mortality in patients with acute pulmonary edema. Methods This retrospective cohort study utilized data from the MIMIC-IV database (2008–2019) and included adult patients with acute pulmonary edema. Patients were categorized into quartiles based on anion gap levels. Cox regression models analyzed the relationship between anion gap and mortality, with restricted cubic spline (RCS) curves, Kaplan-Meier analysis, and subgroup analyses. Results A total of 1094 patients were included. Univariate Cox regression showed a positive correlation between anion gap levels and 28-day mortality (HR = 1.13, 95%CI: 1.09–1.17, P < 0.001). Multivariate analysis confirmed anion gap as an independent predictor (HR = 1.11, 95%CI: 1.07–1.15, P < 0.001). The RCS curve indicated a nonlinear relationship, and Kaplan-Meier analysis showed lower survival in higher anion gap groups (P < 0.001). Subgroup analysis revealed significant interactions between age and renal disease status, indicating that anion gap levels had a stronger association with mortality in younger patients and those without renal disease. Conclusion Admission anion gap levels predict 28-day all-cause mortality in acute pulmonary edema patients, particularly in younger patients and those without renal disease. Clinically, anion gap monitoring should be emphasized, and individualized prognostic and treatment strategies should be developed with factors like age and renal status to improve outcomes.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 9
Published September 26, 2025
Pages e0333293
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (6)

P

Ping Guo

Department of Biochemistry, School of Medicine, 15 North Medical Drive East, Salt Lake City, Utah 84112, United States

Y

Yuwen Liu

X

Xiaomi Huang

Y

Yanfang Zeng

Z

Zhonglan Cai

G

Guang Tu