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Assessment of Patient-ventilator Asynchrony by Electric Impedance Tomography

NCT06290310 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 10

Last updated 2024-03-04

No results posted yet for this study

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.

Conditions

  • Acute Lung Injury

Interventions

DEVICE

EIT

continuous electric impedance tomography measurement

DEVICE

patient-ventilator asynchrony assessment

patient-ventilator asynchrony assessment by flow/time curve and machine learning

Sponsors & Collaborators

  • Hochschule Furtwangen University

    collaborator OTHER

  • Budapest University of Technology and Economics

    collaborator OTHER

  • Szeged University

    collaborator OTHER

  • Kiskunhalas Semmelweis Hospital the Teaching Hospital of the University of Szeged

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-12
Primary Completion
2024-09-01
Completion
2024-09-01

Countries

  • Hungary

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06290310 on ClinicalTrials.gov