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NCT06595602
Intelligent Lung Support in the Intensive Care Unit
Conditions: Mechanical Ventilation, Intensive Care Medicine
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 530
Sponsor: Technische Universität Dresden
Location: Department of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany Dresden
Summary
The aim of this observational study is to test the IntelliLung decision support system based on artificial intelligence. This system is intended to help to set the ventilator. The study includes patients with and without ARDS (acute respiratory distress syndrome) who are receiving invasive mechanical ventilation, as well as patients with additional extracorporeal lung support. The study will be conducted in several centers.
The main question of the study:
How well do the mechanical ventilation settings of healthcare staff match the recommendations of the IntelliLung system?
Eligibility Criteria
Inclusion Criteria:
1. Male and female patients, age ⪰18 years
2. Written informed consent
3. Invasively mechanically ventilated patients expected to be intubated for more than 24 hours.
Exclusion Criteria:
1. Expected to die within ≤48 hours
2. Participation in an interventional mechanical ventilation trial
3. Mechanical Ventilation with a closed-loop ventilation mode
4. Persons dependent on the sponsor and/or investigator
5. Subjects who are currently imprisoned or otherwise in confinement ordered by law or other official authorities
Source: ClinicalTrials.gov (NCT06595602). StuddyBuddy aggregates publicly available trial information.