Group-based trajectory modeling of anion gap and mortality in patients with sepsis: a retrospective analysis of the MIMIC-IV database.

ABSTRACT:

Background

The purpose of this study was to identify distinct trajectories of the anion gap (AG) of patients with sepsis within the first 48 h following intensive care unit (ICU) admission and to explore the relationship between these trajectories and all-cause mortality.

Methods

This study was carried out involving patients with sepsis from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Group-based trajectory modeling (GBTM) was utilized to identify the distinct trajectory groups for the AG values. The primary outcome was 30-day mortality, and the secondary outcomes were 90-day and 1-year mortality. Both univariable and multivariable Cox proportional hazards regression models were performed to explore the relationship between different AG longitudin

SUBMITTER: Zhang L 

PROVIDER: S-EPMC12465563 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature