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AI predicts ventilator duration in respiratory failure

NCT ID NCT06815523

Knowledge-focused Sponsor: Jesus Villar 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study tests whether machine learning can predict if a patient with acute hypoxemic respiratory failure will need a breathing machine for a week or longer. Researchers analyzed data from over 1,200 ICU patients in Spain, using information from the first 48 hours to build a predictive model. The goal is to identify a simple set of factors that can help doctors anticipate prolonged ventilation and tailor care accordingly.

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 help doctors better predict how long a patient will need a breathing machine, potentially improving ICU planning and 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.

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

Feb 2025

Finished

Jun 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 1241 ventilated patients with AHRF admitted in a network of Spainisg ICUs.

Ages

18 years and older

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: * enotracheal intubation puls mechanical ventilation * PaO2/FiO2 ratio \<or = 300 mmHg under MV with PEEP \>or =5 and FiO2 \>or = 0.3 Exclusion Criteria: * Brain death patients

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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 Dr. Negrin

    Las Palmas de Gran Canaria, Las Palmas, 35019, Spain

  • Hospital Universitario La Paz

    Madrid, Spain

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