The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.

ABSTRACT:

Background

The impact of dynamic fluid balance (FB) changes on the prognosis of ICU patients with cardiac arrest (CA) remains unclear. This study aims to explore the association between FB trajectories and the prognosis of such patients.

Methods

Data were sourced from CA patients in the MIMIC-IV database. A Group-Based Trajectory Model (GBTM) was used to identify patient subgroups with similar FB trajectories. Kaplan-Meier survival curves and Cox regression models were applied to analyze the association between FB trajectories and survival outcomes in CA patients. Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.

Results

A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Tra

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC12434594 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature