Understanding how often and why a patient’s breathing and the ventilator don’t stay in sync

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 an observational study using data from patients on invasive mechanical ventilation to measure the frequency of patient-ventilator asynchrony (PVA) with an AI-based Deep Breath software. Researchers will analyze waveform data offline to classify PVA types and examine associations with clinical characteristics and outcomes such as mortality, ventilator-free days, and weaning success. The study includes data from at least 110 patients across three ICUs to improve generalizability. The primary outcome is the overall and type-specific asynchrony index over time, with several secondary outcomes related to patient status and recovery.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age \> 18 years old.
* Recordings available of ventilator waveforms synchronized with the patient's electronic health record during invasive mechanical ventilation.
* Duration of mechanical ventilation of at least 24 hours.

Exclusion Criteria:

* (Previous) registered objection of patient and/or relatives to re-use clinical data for research purposes
* No consent for re-use of data for research

Where it's running

• Catharina Ziekenhuis Eindhoven (CZE)
  Eindhoven, North Brabant, Netherlands Recruiting
• Erasmus Medical Center (EMC)
  Rotterdam, South Holland, Netherlands Recruiting
• Leiden University Medical Center (LUMC)
  Leiden, South Holland, Netherlands Not yet recruiting

Study contacts

• Study coordinator: Annemijn Jonkman, PhD
• Email: a.jonkman@erasmusmc.nl
• Phone: +3110-7035142

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Pulse Wave vs Saline Bolus EIT to measure lung perfusion in ARDS

  This study tests whether pulse wave EIT or saline bolus EIT can best show lung blood flow in ARDS patients on mechanical ventilation.

  Recruiting Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Wuhan, Hubei · NCT07908368

• Computed inspiratory muscle pressure to monitor inspiratory effort during pressure-targeted assist/control ventilation

  This study tests a noninvasive computed pressure method (cPmus) to see if it matches the traditional esophageal pressure method for measuring inspiratory effort in adults on pressure-targeted ventilation with spontaneous breathing.

  Recruiting Capital Medical University · Beijing · NCT07886918

• Noninvasive estimate of inspiratory effort to monitor pressure support ventilation

  This study tests whether a noninvasive computed inspiratory muscle pressure (cPmus) can match the traditional esophageal pressure method for adults on pressure support ventilation.

  Recruiting Capital Medical University · Beijing · NCT07886892

• Driving pressure-guided individualized PEEP vs standard PEEP during upper abdominal surgery

  In this randomized trial, adults at higher risk of breathing problems after upper abdominal surgery will try a personalized PEEP level based on the lowest driving pressure and compare it to a fixed PEEP of 5 cmH2O to see if it lowers postoperative lung complications.

  Recruiting Hopital Charles Nicolle · Tunis · NCT07885124

• Inspiratory Effort and Dyspnea During Assisted Mechanical Ventilation in Critically Ill Adults

  This study tests how different patient breathing efforts relate to breathlessness in adults on assisted mechanical ventilation.

  Recruiting University of Crete · Heraklion · NCT07877350

• FCV vs VC—Obese Adults Undergoing Laparoscopic Surgery

  In obese adults having laparoscopic surgery, researchers will see if flow-controlled ventilation (FCV) works better than volume-controlled ventilation with autoflow (VC-AF) at keeping airway pressures and lung energy lower.

  Recruiting Kocaeli University · Kocaeli, Izmit · NCT07875530

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.