CompletedNot Applicable

Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques

Turkey (Türkiye)25,000 participantsStarted 2024-12-10

Plain-language summary

This study aims to develop an AI-supported scoring model to optimize the weaning processes of ARDS patients from mechanical ventilation. Retrospective analysis will be conducted on the data of 25,000 patients, focusing on ventilator parameters and hemodynamic variables. The model will be designed to contribute to clinical decision support systems.

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: * ARDS diagnosis * Aged 18 years and older * Intubated and followed by Mechanical ventilation * Admission on Intensive care unit * Complete data on clinical support and desicion system Exclusion Criteria: * Missing data * Under 18 years of age * Followed by non-ARDS conditions * Terminal status

What they're measuring

Successful Weaning

Timeframe: 48 hours

Trial details

NCT IDNCT06751693

SponsorBakirkoy Dr. Sadi Konuk Research and Training Hospital

Sponsor typeOTHER_GOV

Study typeOBSERVATIONAL

Primary completion2024-12-24

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