Development and validation of a novel nutrition-inflammation prognostic score for predicting 30-day mortality in critically ill stroke patients.

ABSTRACT:

Objectives

Malnutrition and systemic inflammation are common in critically ill stroke patients and contribute to poor outcomes. This study aimed to develop and validate a novel nutrition-inflammation prognostic score to predict critically ill stroke patients 30-day mortality and compare its performance with existing scores.

Methods

In this retrospective study, a total of 926 critically ill stroke patients were included. The training cohort (n = 725) was used to develop the prognostic score. Feature selection was performed using three machine learning algorithms: LASSO, SVM-RFE, and Boruta. Four key biomarkers-high-sensitivity C-reactive protein, albumin, neutrophils, and D-Dimer-were identified. Based on these variables, a novel prognostic score, CAND, was constructed

SUBMITTER: Li J 

PROVIDER: S-EPMC12442555 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature