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Smart algorithm could transform ICU diabetes care

NCT ID NCT07385391

Knowledge-focused Sponsor: Chinese Medical Association Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

179 people

The number who actually took part.

Started

Jul 2023

Finished

Oct 2025

Lead sponsor

A research network

The lead sponsor is a research network or cooperative group.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

critically ill patient

Ages

18 to 80 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age≥ 18 years and \< 80 years * ICU stay ≤48 hours * Expected ICU stay \> 24 hours * APACHE II score≥ 8 Exclusion Criteria: * local infection within the sensor placement area * Laparotomy within lower abdomen * Participated in this study before * In other clinical trails

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Conditions

The condition(s) this trial relates to.

Critical Illness Insulin Resistance metabolic disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Critical illness Insulin resistance Metabolism disorders

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.