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AI sepsis predictor study pulled before it even started

NCT ID NCT06238180

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
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 Results may not be published yet.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 This study
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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study aimed to see if an artificial intelligence system could predict sepsis—a serious infection—in people recovering from abdominal surgery. Researchers planned to use wearable sensors and hospital data to spot early warning signs. However, the study was withdrawn before enrolling any participants, so no results are available.

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.

Expected to start

Nov 2023

An estimate. Start dates often move.

Expected to finish

Jun 2024

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

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

Who is studied

The study population for the observational study on sepsis prediction are postoperative abdominal surgery patients \>18 years of age, selected from a hospital setting, specifically targeting patients admitted for abdominal surgery. This includes a diverse demographic of adult patients undergoing various types of abdominal surgeries. The selection will focus on ensuring a representative sample of this patient group to accurately assess the efficacy and applicability of the AI-driven sepsis prediction system in a real-world clinical environment.

Ages

18 to 120 years

Sex

Anyone

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: * Patients undergoing elective abdominal surgery. * Postoperative admission to the surgical ward. * Age 18 years or older, who are able and willing to participate and have given written consent. * On admission, the primary investigator assess their risk to deteriorate during the first 72 hours after admission as reasonably high. Exclusion Criteria: * \<18 years of age Known allergy or contraindication to the monitoring devices. * Pre-existing conditions that could interfere with the study (e.g., chronic sepsis, immunodeficiency disorders). * Day case surgery. * Pregnancy. * Immediate transfer to ICU postoperatively. * Patient refusal or unable to give written consent.

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Conditions

The condition(s) this trial relates to.

Clinical Deterioration Infections infectious disease infectious disease with sepsis Intraabdominal Infections Sepsis

As listed by the trial registrant

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

Contacts and locations

Locations

  • General University Hospital of Larissa

    Larissa, Thessaly, 41110, Greece

More trials for these conditions

Other studies related to the condition(s) this trial covers.