Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI could predict which ICU patients with breathing failure are at highest risk of death

NCT ID NCT06333002

Knowledge-focused Sponsor: Hospital Universitario de Gran Canaria Doctor Negrín 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time

Summary

This study tests whether machine learning can predict death in the intensive care unit for patients with acute hypoxemic respiratory failure (AHRF), a common cause of ICU admission. Researchers will analyze data from over 1,200 patients, using several machine learning algorithms to find the best model with the fewest variables. The goal is to create a simple, accurate tool that helps doctors identify high-risk patients early.

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 tool that helps doctors predict which patients are at highest risk of dying in the ICU, allowing for earlier and more targeted care.
What could go wrong
This is an observational analysis of existing data, not a treatment trial. The machine learning models may not perform well in other hospitals or patient groups, and they do not directly improve outcomes.

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

1,241 people

The number who actually took part.

Started

Mar 2024

Finished

May 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

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

Who is studied

De-identified dataset inclusing 1,241 mechanically ventilated patients with acute hypoxemic respiratory failure admitted consecutively in a network of Spanish ICUs.

Ages

18 to 100 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: * endotracheal intubation plus mechanical ventilation (MV) * PaO2/FiO2 ratio ≤300 mmHg under MV with positive end-expiratory pressure (PEEP) ≥5 cmH2O and FiO2 ≥0.3. Exclusion Criteria: * Post-operative patients ventilated \<24 h * Brain death patients.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Acute hypoxemic respiratory failure are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

acute respiratory failure respiratory failure

As listed by the trial registrant

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

Acute hypoxemic respiratory failure

Contacts and locations

Locations

  • Hospital Cinico de Valencia

    Valencia, 46010, Spain

  • Hospital General Universitario de Ciudad Real

    Ciudad Real, 13005, Spain

  • Hospital Universitario La Paz

    Madrid, 28046, Spain

  • Hospital Universitario NS de Candelaria

    Santa Cruz de Tenerife, 38010, Spain

  • Hospital Universitario Puerta de Hierro

    Madrid, 28222, Spain

  • Hospital Universitario Rio Hortega

    Valladolid, 47012, Spain

  • Hospital Universitario Virgen de Arrixaca

    Murcia, 3012, Spain

  • Hospital Virgen de La Luz

    Cuenca, 16002, Spain

More trials for these conditions

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