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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Systems Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1578078

Association between serum anion gap trajectory and mortality in hospitalized patients with sepsis: an analysis of the MIMIC-IV database

Provisionally accepted
Lijuan  JingLijuan JingXiaopeng  ShiXiaopeng ShiLijun  XuLijun XuXiangmei  ZhaoXiangmei ZhaoFaliang  LiFaliang LiLijie  QinLijie Qin*
  • Department of Emergency Medicine, Henan Provincial People's Hospital, Zhengzhou, China

The final, formatted version of the article will be published soon.

Background: Sepsis remains a leading cause of mortality in intensive care units (ICUs), with high morbidity and healthcare costs worldwide. The serum anion gap (AG), a marker of metabolic acidosis, has been associated with adverse outcomes in various critical illnesses. However, the prognostic value of longitudinal AG trajectories in sepsis remains underexplored. This study explored the link between dynamic AG trajectories and all-cause mortality in critically ill septic patients.A retrospective cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Adult patients meeting Sepsis-3 criteria for sepsis were included. Group-based trajectory modeling was used to identify AG trajectories during the initial five days of ICU admission. Patients were classified into three trajectory groups: normal-level-stable trajectory (Class 1), high-level-decline trajectory (Class 2), and progressive acidosis trajectory (Class 3).Cox proportional hazards models evaluated the link between AG trajectories and ICU/hospital mortality, controlling for demographic, laboratory, and clinical severity factors. Subgroup and sensitivity analyses were performed to validate the findings.Results: Among 6,110 septic patients, three distinct AG trajectory groups were identified. Patients in Class 3 (decreasing high AG) had the highest mortality, with ICU mortality of 30.61% and hospital mortality of 35.85%, compared to Class 1 (ICU mortality: 14.46%, hospital mortality: 19.41%) and Class 2 (ICU mortality: 21.88%, hospital mortality: 31.88%). In fully adjusted models, Class 3 exhibited a significantly increased risk of ICU mortality [HR=1.72, (95% CI 1.43-2.07), P<0.001] and hospital mortality [HR=1.64, (95% CI 1.39-1.94), P<0.001] relative to Class 1.Subgroup analysis revealed a significant interaction between AG trajectories and heart failure status. Sensitivity analysis excluding patients with malignancies confirmed the robustness of the findings.Continuous monitoring of AG levels is crucial for risk assessment and personalized treatment, as rising AG levels significantly increase mortality risk.These findings underscore the potential of AG trajectories as a dynamic biomarker to improve sepsis management and patient outcomes.

Keywords: Sepsis, Anion gap, trajectory analysis, Mortality, Intensive Care Unit

Received: 17 Feb 2025; Accepted: 02 Jul 2025.

Copyright: © 2025 Jing, Shi, Xu, Zhao, Li and Qin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Lijie Qin, Department of Emergency Medicine, Henan Provincial People's Hospital, Zhengzhou, China

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