Smart algorithm could transform ICU diabetes care
NCT ID NCT07385391
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to create a new algorithm that uses continuous glucose monitoring to assess insulin resistance in real time for critically ill patients. Current methods are often invasive or impractical in the ICU. Researchers will analyze data from 179 patients to see if this new metric relates to patient outcomes like organ function and survival.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a non-invasive, real-time tool to help doctors manage blood sugar and insulin needs in critically ill patients.
- What could go wrong
- This is an observational study, not a treatment trial. The algorithm may not prove accurate or useful in all ICU settings, and further validation will be needed.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CRITICAL ILLNESS are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Nanjing Drum Tower Hospital
Nanjing, Jiangsu, 210000, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- AI may predict transfusion needs to shield ICU patients from organ failure
- A simple blood test trend may flag ICU patients at risk
- Could a simple CT scan reveal which ICU cancer patients are at highest risk?
- A gentle touch from family may calm the ICU storm
- Can a traditional herbal remedy tame type 2 diabetes?
- Can decades of lifting weights keep the Brain's muscle signals young?