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

NCT07385391 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 179

Last updated 2026-02-04

No results posted yet for this study

Summary

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.

Conditions

Sponsors & Collaborators

  • Chinese Medical Association

    lead NETWORK

Principal Investigators

  • Wenkui Yu, PhD, Professor · The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-07-13
Primary Completion
2024-03-13
Completion
2025-10-01

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07385391 on ClinicalTrials.gov