Assessment of Patient-ventilator Asynchrony by Electric Impedance Tomography
NCT ID: NCT06290310
Last Updated: 2024-03-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
10 participants
OBSERVATIONAL
2024-04-12
2024-09-01
Brief Summary
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Detailed Description
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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
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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mechanically ventilated patients
Invasively or non-invasively ventilated patients.
EIT
continuous electric impedance tomography measurement
patient-ventilator asynchrony assessment
patient-ventilator asynchrony assessment by flow/time curve and machine learning
Interventions
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EIT
continuous electric impedance tomography measurement
patient-ventilator asynchrony assessment
patient-ventilator asynchrony assessment by flow/time curve and machine learning
Eligibility Criteria
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Inclusion Criteria
* any patient ventilated non-invasively
Exclusion Criteria
18 Years
100 Years
ALL
No
Sponsors
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Hochschule Furtwangen University
OTHER
Budapest University of Technology and Economics
OTHER
Szeged University
OTHER
Kiskunhalas Semmelweis Hospital the Teaching Hospital of the University of Szeged
OTHER_GOV
Responsible Party
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Locations
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Kiskunhalas Semmelweis Hopsital the Teaching Hospital of the University of Szeged
Kiskunhalas, , Hungary
Countries
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Central Contacts
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Facility Contacts
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References
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Sottile PD, Albers D, Smith BJ, Moss MM. Ventilator dyssynchrony - Detection, pathophysiology, and clinical relevance: A Narrative review. Ann Thorac Med. 2020 Oct-Dec;15(4):190-198. doi: 10.4103/atm.ATM_63_20. Epub 2020 Oct 10.
Bachmann MC, Morais C, Bugedo G, Bruhn A, Morales A, Borges JB, Costa E, Retamal J. Electrical impedance tomography in acute respiratory distress syndrome. Crit Care. 2018 Oct 25;22(1):263. doi: 10.1186/s13054-018-2195-6.
Other Identifiers
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PAVELA
Identifier Type: -
Identifier Source: org_study_id
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