AKI Subtyping and Prognostic Analysis Based on Serum Electrolyte Features in ICU.

ABSTRACT: Objective: To identify distinct subtypes of ICU patients with Acute Kidney Injury (AKI) using serum electrolyte data and assess their associations with in-hospital mortality risk. Methods: This study used the eICU Collaborative Research Database (eICU-CRD) as its primary data source. AKI patients were identified according to the KDIGO clinical practice guidelines. Using K-Medoids clustering, we identified distinct AKI subtypes based on the first serum electrolyte measurements taken within 24 h of AKI diagnosis in the ICU. Logistic regression analysis was then employed to assess associations between these subtypes and in-hospital mortality risk. Within each subtype, we further examined the relationship between two AKI-related treatments, diuretics and renal replacement therapy

SUBMITTER: Liu W 

PROVIDER: S-EPMC12607972 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature