MedTrace Logo

Prediction of Duration of Mechanical Ventilation in Acute Hypoxemic Respiratoty Failure

NCT06815523 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1241

Last updated 2025-03-11

No results posted yet for this study

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.

Conditions

  • Acute Hypoxemic Respiratory Failure

Interventions

OTHER

Machine learning and logistic regression for the training/testing cohort and validation cohort

Machine learning and logistic regression for the validation cohort

Sponsors & Collaborators

  • Hospital Universitario Dr. Negrín (Las Palmas de Gran Canaria)

    collaborator UNKNOWN

  • Iinstituto de Salud Carlos III

    collaborator UNKNOWN

  • Jesus Villar

    lead OTHER

Principal Investigators

  • Jesus Villar · Fundacion Canaria Instituto de Investigación Sanitaria de Canarias

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-02-02
Primary Completion
2026-05-01
Completion
2026-06-01

Countries

  • Spain

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06815523 on ClinicalTrials.gov