Assessment of Patient-ventilator Asynchrony by Electric Impedance Tomography and Artificial Intelligence
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Acute Lung Injury
- Sponsor
- Kiskunhalas Semmelweis Hospital the Teaching Hospital of the University of Szeged
- Enrollment
- 10
- Locations
- 1
- Primary Endpoint
- distribution
- Status
- Not yet recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
Patient-ventilator asynchrony (PVA) has deleterious effects on the lungs. PVA can lead to acute lung injury and worsening hypoxemia through biotrauma. Little is known about how PVA affects lung aeration estimated by electric impedance tomography (EIT). Artificial intelligence can promote the detection of PVA and with its help, EIT measurements can be correlated to asynchrony.
Detailed Description
Patient-ventilator asynchrony (PVA) is a common phenomenon with invasively- and non-invasively ventilated patients. PVA has deleterious effects on the lungs. It causes not just patient discomfort and distress but also leads to acute lung injury and worsening hypoxemia through biotrauma. The latter significantly impacts outcomes and increases the duration of mechanical ventilation and intensive care unit stay. However, PVA is a widely investigated incident related to mechanical ventilation, though little is known about how it affects lung aeration estimated by electric impedance tomography (EIT). EIT is a non-invasive, real-time monitoring technique suitable for detecting changes in lung volumes during ventilation. Artificial intelligence can promote the detection of PVA by flow versus time assessment. If continuous EIT recording is correlated with the latter, impedance tomography changes evoked by asynchrony can be estimated
Investigators
Eligibility Criteria
Inclusion Criteria
- •any patient ventilated invasively
- •any patient ventilated non-invasively
Exclusion Criteria
- •age under 18
Outcomes
Primary Outcomes
distribution
Time Frame: during mechanical ventilation
gas distribution in lungs assessed by electric impedance tomography
Secondary Outcomes
- connecting asysnchrony cycles with electric impedance tomography measurements(during mechanical ventilation)
- identifying unic electric impedance tomography signs of asynchrony(during mechanical ventilation)