Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.

ABSTRACT:

Purpose

This study aimed to construct a risk predictive model for acute kidney injury in sepsis based on peripheral blood lymphocyte subsets.

Methods

This prospective study included patients with sepsis admitted to the ICU from March to August 2024 (483 for training and 146 for validation), and 125 patients from September to December 2024 as the external test cohort. Clinical data and peripheral blood samples on days 1 and 3 were collected after ICU admission. Lymphocyte subsets were analyzed using flow cytometry, covering T cell, B cell, NK cell populations. Differences in clinical variables and lymphocyte subsets between AKI and non-AKI groups were analyzed. A predictive model was developed using LASSO and multivariate logistic regression and validated internally (5-fold c

SUBMITTER: Wang L 

PROVIDER: S-EPMC12507742 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature