Ontology highlight
ABSTRACT: Background
Sepsis commonly leads to fluid and electrolyte imbalances, often reflected in abnormal serum osmolality. Although static measurements of osmolality have been investigated, the prognostic significance of dynamic changes in serum osmolality over time remains poorly understood in patients with sepsis.Methods
We conducted a comprehensive analysis of 22,737 septic patients from the MIMIC-IV and eICU-CRD databases, with external validation performed using an independent cohort of 303 patients from Zhejiang Provincial People's Hospital. Latent class trajectory modeling was applied to identify distinct patterns of serum osmolality during the first 4 days in the ICU. The association between trajectory patterns and mortality was assessed using Cox proportional hazards regr
SUBMITTER: Fang K
PROVIDER: S-EPMC12849464 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature