Actively Recruiting
Evaluation of Mechanical Power and Ventilator Parameters to Predict Weaning Success in the Intensive Care Unit
Led by Anıl Berkay Balıtatlı · Updated on 2025-12-12
60
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this prospective observational study is to evaluate whether ventilator-based respiratory parameters can predict weaning success in adult intensive care unit (ICU) patients who are mechanically ventilated. The main questions it aims to answer are: Can the mechanical power (MP) value predict successful extubation? Do other respiratory parameters-airway occlusion pressure (P0.1), negative inspiratory force (NIF), and the rapid shallow breathing index (RSBI)-provide additional prognostic value for weaning outcomes? Participants will: * Be adult ICU patients planned for weaning from mechanical ventilation. * Undergo bedside ventilatory assessment within 2 hours after meeting clinical weaning criteria. * Have the following respiratory parameters measured: MP, P0.1, NIF, and RSBI. * Be monitored for 48 hours after extubation to assess weaning success (defined as no need for reintubation, non-invasive ventilation, or high-flow oxygen support)
CONDITIONS
Official Title
Evaluation of Mechanical Power and Ventilator Parameters to Predict Weaning Success in the Intensive Care Unit
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 60; 18 years (adult patient population)
- Receiving invasive mechanical ventilation in the intensive care unit
- Intubated for at least 24 hours
- Clinical team has decided on extubation and patient meets weaning criteria
- Stable respiratory parameters (FiO60; 40%, PEEP 60; 5 cmH60;O, SpO92%)
- Hemodynamically stable (no inotropic support or minimal/stable dose)
- Appropriate neurological status (able to follow commands)
- Stable acid-base balance
- Adequate secretion control
- Technically suitable ventilator and measurement conditions
- Written informed consent from patient or legal representative
You will not qualify if you...
- Under 18 years of age
- Pregnant patients
- Patients not meeting the weaning criteria
- Tracheostomized patients
- Neuromuscular diseases (e.g., Guillain-Barr�e9 syndrome, Duchenne muscular dystrophy)
- Technical inadequacy preventing correct ventilator measurements
- Significant asynchrony (e.g., auto-PEEP, double triggering, ineffective triggering)
- Patients without an extubation plan or receiving palliative care
- RASS 60; -2 (excessive sedation) for PSV mode measurements
- RASS 60; +2 (agitation) for PSV-CPAP mode measurements
- Patients with delirium for PSV-CPAP mode measurements
- Patients unable to provide consent or without legal representative consent
AI-Screening
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Trial Site Locations
Total: 1 location
1
Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
Istanbul, Turkey (Türkiye), 34303
Actively Recruiting
Research Team
A
Anıl Berkay Balıtatlı
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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