About this trial
The goal of this observational study is to unravel the occurence, impact and relations of Patient-Ventilator Aynchrony (PVA) in mechanically ventilated patients. The main questions it aims to answer are:
* How often does PVA occur? * What are relations between clinical characteristics and PVA occurence? * What are relations between PVA occurence and patient outcomes?
All questions will be assessed using data collected during the whole course of mechanical ventilation. Mechanically ventilated patients' medical data will be re-used. PVAs will be automatically classified on ventilator waveform data, using validated Deep Breath software.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
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.
Disqualifiers
(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
Trial population
Adult patients admitted to the ICU that receive invasive mechanical ventilation.
Trial design
Cohort
Other
Treatments tested in this trial
PVA classification software
Other interventionPatients will receive standard care, without an intervention. Data will be captured as part of standard care and analyzed for PVAs retrospectively, using dedicated offline software.
Treatment groups
Trial outcomes
Primary outcomes
Asynchrony index over time (aggregated and per PVA type)
Measure of how much asynchrony occurs and at what time. This measure will be calculated for all PVA types together, as well as per PVA type. The investigators calculate this over time, to see when asynchrony occurs, as well as in total, to get a global PVA prevalence measure (over the whole duration of ventilation).
Secondary outcomes
Use of sedatives (cumulative dose and type)
Mechanical ventilation settings
Respiratory parameters
Hemodynamic parameters
Sponsors and contacts
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Erasmus Medical Center
Lead sponsor
Deep Breath
Collaborator
Catharina Ziekenhuis Eindhoven
Collaborator
Leiden University Medical Center
Collaborator