Association between sodium level trajectories and clinical prognosis in patients with sepsis: A longitudinal retrospective cohort study

ObjectiveSepsis treatment remains challenging in ICU due to patient heterogeneity. Although sodium imbalance is common and associated with poor outcomes, its longitudinal dynamics and complexity have been overlooked. This study aimed to identify sodium trajectories in ICU patients with sepsis and evaluate their prognostic value.MethodsThis retrospective study included ICU patients with sepsis from the Medical Information Mart for Intensive Care IV v3.0 database. Time-series sodium measurements were extracted for the first 8 days of ICU stay. Latent Class Mixed Model was used to identify sodium trajectory patterns. The primary outcome was 28-day mortality, and the secondary outcome was 90-day mortality. Kaplan-Meier, cox regression, and logistic regression analyses were employed to examine associations between trajectory classes and outcomes. Further SHAP analysis quantified the contribution of individual features to mortality across the different classes. Subgroup analyses assessed robustness and effect modification.ResultsA total of 9697 patients were included and divided into four trajectory groups: "U-shaped increase"; "Low-level stable"; "High-level stable"; and "Inverted U-shaped decrease". Class 1 exhibited the highest mortality risk, followed by Class 4, with adjusted hazard ratios (HRs) of 1.55 (95% CI: 1.30-1.85; <i>p</i> < 0.001) and 1.44 (95% CI: 1.18-1.74; <i>p</i> < 0.001), respectively. The death risk of Class 1 is primarily driven by indicators of acute physiologic disturbances. For class 4, the short- and long-term mortality risks were mainly influenced by comorbidities and coagulopathy. Subgroup analysis showed that the risk of death was more significant in class 1, particularly in patients with Simplified Acute Physiology Score < 35 (HR = 3.47, 95%CI:2.37-5.07, (<i>p</i> < 0.001)).ConclusionsThis study identified four distinct sodium level trajectory sub-phenotypes in ICU patients with sepsis and examined the risk factors associated with mortality. These findings provided a basis for risk stratification of sepsis patients and may inform personalized critical care strategies.

Authors

Institutions

Publication Details

Journal
Science Progress
Published
2025-10-01
DOI
https://doi.org/10.1177/00368504251392602
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between sodium level trajectories and clinical prognosis in patients with sepsis: A longitudinal retrospective cohort study

Meng Tang, Fei Mu, Jinyi Zhao, Jingwen Wang et al.
Science Progress
Sepsis Diagnosis and Treatment
article

Association between sodium level trajectories and clinical prognosis in patients with sepsis: A longitudinal retrospective cohort study

Meng Tang, Fei Mu, Jinyi Zhao, Jingwen Wang, Zhen Yan, Chen Cui, Kexin Sun, Rui Gong
article en

Abstract

ObjectiveSepsis treatment remains challenging in ICU due to patient heterogeneity. Although sodium imbalance is common and associated with poor outcomes, its longitudinal dynamics and complexity have been overlooked. This study aimed to identify sodium trajectories in ICU patients with sepsis and evaluate their prognostic value.MethodsThis retrospective study included ICU patients with sepsis from the Medical Information Mart for Intensive Care IV v3.0 database. Time-series sodium measurements were extracted for the first 8 days of ICU stay. Latent Class Mixed Model was used to identify sodium trajectory patterns. The primary outcome was 28-day mortality, and the secondary outcome was 90-day mortality. Kaplan-Meier, cox regression, and logistic regression analyses were employed to examine associations between trajectory classes and outcomes. Further SHAP analysis quantified the contribution of individual features to mortality across the different classes. Subgroup analyses assessed robustness and effect modification.ResultsA total of 9697 patients were included and divided into four trajectory groups: "U-shaped increase"; "Low-level stable"; "High-level stable"; and "Inverted U-shaped decrease". Class 1 exhibited the highest mortality risk, followed by Class 4, with adjusted hazard ratios (HRs) of 1.55 (95% CI: 1.30-1.85; <i>p</i> < 0.001) and 1.44 (95% CI: 1.18-1.74; <i>p</i> < 0.001), respectively. The death risk of Class 1 is primarily driven by indicators of acute physiologic disturbances. For class 4, the short- and long-term mortality risks were mainly influenced by comorbidities and coagulopathy. Subgroup analysis showed that the risk of death was more significant in class 1, particularly in patients with Simplified Acute Physiology Score < 35 (HR = 3.47, 95%CI:2.37-5.07, (<i>p</i> < 0.001)).ConclusionsThis study identified four distinct sodium level trajectory sub-phenotypes in ICU patients with sepsis and examined the risk factors associated with mortality. These findings provided a basis for risk stratification of sepsis patients and may inform personalized critical care strategies.

Science ProgressVol. 108(4)
Xijing Hospital (CN), Air Force Medical University (CN)
Openalex Percentile: Top 57%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.