Predicting Extubation Problems With Machine Learning

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a prospective, multicenter observational study enrolling adults receiving invasive mechanical ventilation in the ICU. Researchers will collect clinical data before extubation and follow patients for seven days after planned extubation to see if they need reintubation, a tracheostomy, or die. Five machine learning methods will be built and compared to identify which model best predicts post-extubation problems. Data will be gathered from bedside monitors, electronic records, and interviews, using predictors from patient characteristics, clinical status, ventilation parameters, and labs. Importantly, extubation decisions are made as part of routine care and are not influenced by the models, which are developed after data collection is complete.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Aged 18 years or older
* Receiving invasive mechanical ventilation through a breathing tube in the windpipe (endotracheal tube) in the intensive care unit (ICU)

Exclusion Criteria:

\- Used a breathing machine through a tracheostomy (a surgical opening in the neck) when admitted to the ICU

Where it's running

• Cipto Mangunkusumo National General Hospital (RSCM)
  Jakarta, DKI Jakarta, Indonesia Recruiting
• Universitas Indonesia Hospital (RS UI)
  Depok, West Java, Indonesia Completed

Study contacts

• Study coordinator: Adhrie Sugiarto
• Email: adhrie@gmail.com
• Phone: +62213157008

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.