Predictive value of stress hyperglycaemia ratio and haemoglobin glycation index for mortality risks in critically ill patients: a comparative retrospective analysis of the MIMIC-IV database using machine learning-based predictive modelling.

ABSTRACT:

Objectives

This study aimed to evaluate the association between the stress hyperglycaemia ratio (SHR) and the Haemoglobin Glycation Index (HGI), and mortality risks in critically ill patients.

Design

A retrospective study and machine learning (ML)-based predictive modelling.

Setting

This retrospective cohort study used data from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database.

Participants

A total of 3106 patients were included in the study and were divided into different groups according to the value level of SHR and HGI.

Primary outcome measure

360-day mortality.

Results

When treated the SHR as a continuous variable, a significant correlation exists between the SHR and 360-day mortality risks in critically ill patients (HR

SUBMITTER: Zhou W 

PROVIDER: S-EPMC12853491 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature