Development of a Novel Algorithm for Real-Time Bedside Assessment of Insulin Resistance in Critically Ill Patients Based on Continuous Glucose Monitoring Data

This study aims to develop and validate a novel algorithm for the real-time assessment of insulin resistance in critically ill patients using Continuous Glucose Monitoring (CGM). Current methods for assessing insulin resistance are often invasive or unfeasible in the intensive care setting. By analyzing the dynamic correlation between CGM readings and reference blood glucose fluctuations, the investigators seek to construct a new algorithmic metric. The study will further evaluate the association of this new metric with established insulin resistance indices, organ function, and patient clinical outcomes.