Active — Not RecruitingNot Applicable

Prediction of Duration of Mechanical Ventilation in Acute Hypoxemic Respiratoty Failure

Spain1,241 participantsStarted 2025-02-02

Plain-language summary

Acute hypoxemic respiratory failure (AHRF) is a common cause of admission in intensive care units (ICUs) worldwide. We will assess machine learning (ML) techniques for prediction of prolonged duration (\> or = to 7 days) of mechanical ventilation (MV) in 1,241 patients enrolled in the PANDORA study in Spain. The study was registered with ClinalTrials.gov (NCT03145974). Our aim is to identify a model with the minimum number of variables that predict duration of prolonged ventilation in AHRF patients using data as early as from the first 48 hours with machine learning algorithms.

Who can participate

Age range18 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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

What they're measuring

MV duration

Timeframe: up to 100 weeks

Trial details

NCT IDNCT06815523

SponsorJesus Villar

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-05-01

View on ClinicalTrials.gov More Acute Hypoxemic Respiratory Failure trials