Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, extracorporeal lung support is initiated when mechanical ventilation is insufficient. However, mechanical ventilation is recognised as potentially harmful, because inappropriate mechanical ventilation settings in ICU patients are associated with organ damage, contributing to disease burden. Studies revealed that mechanical ventilation is often not provided adequately despite clear evidence and guidelines. Variables at the ventilator and extracorporeal lung support device can be set automatically using optimization functions and clinical recommendations, but the handling of experts may still deviate from those settings depending upon the clinical characteristics of individual patients. Artificial intelligence can be used to learn from those deviations as well as the patient's condition in an attempt to improve the combination of settings and accomplish lung support with reduced risk of damage.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Intelligence-based Decision support | Other | Decision support to optimise invasive mechanical ventilation settings |
| Measure | Description | Time Frame |
|---|---|---|
| Relative time of same device settings of the health care provider and the IntelliLung algorithm | From date of intubation to date of extubation or date of discharge, which ever came first, assessed up to 12 month |
Not provided
Not provided
Inclusion Criteria:
• Subjects who are 18 years or older and receive invasive mechanical ventilation for > 4 hours
Exclusion Criteria:
• Patients receiving one-lung ventilation
Not provided
Not provided
Not provided
Not provided
Intensive care patients receiving invasive mechanical ventilation
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jakob Wittenstein, MD | Contact | +49 351 458 19887 | jakob.wittenstein@ukdd.de | |
| Thea Koch, PhD | Contact | thea.koch@ukdd.de |
| Name | Affiliation | Role |
|---|---|---|
| Jakob Wittenstein, MD | University Hospital Carl Gustav Carus at Technischen Universität Dresden, Germany | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cleveland Clinic Foundation, Cleveland, USA | Recruiting | Cleveland | Ohio | 44195 | United States | |
Not provided
Not provided
Not provided
Not provided
| University Hospital Carl Gustav Carus Dresden |
| Recruiting |
| Dresden |
| Germany |
| Institut Fur Angewandte Informatik (Infai) Ev | Active, not recruiting | Leipzig | Germany |
| Institut Mihajlo Pupin | Active, not recruiting | Belgrade | Serbia |
| Better Care Sl | Active, not recruiting | Sabadell | Spain |
| Fundacio Parc Tauli | Completed | Sabadell | Spain |
| Fundacion Publica Andaluza Progreso Y Salud | Active, not recruiting | Seville | Spain |
| Inselspital, Universitätsspital Bern | Completed | Bern | Switzerland |
| ID | Term |
|---|---|
| D055397 | Ventilator-Induced Lung Injury |
| ID | Term |
|---|---|
| D055370 | Lung Injury |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
Not provided
Not provided