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Clinically integrated, ML-supported software to support systems medicine therapy decisions for artificial ventilation in intensive care medicine

Clinically integrated, ML-supported software to support systems medicine therapy decisions for artificial ventilation in intensive care medicine - MPower

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00036157
Enrollment
80
Registered
2025-04-11
Start date
2025-04-15
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

J00-J99 I00-I99

Interventions

Group 1: The data collection will take place over the expected 24-month study period in the anesthesiology intensive care units at Heidelberg University Hospital. The recovery room and E99. Ventilatio

Sponsors

Universitätsklinikum Heidelberg
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Indication for admission to an intensive care unit - Mechanically ventilated patients - Hypoxaemic respiratory failure, defined as PaO2/FiO2 ratio = 300 mmHg with invasive or non-invasive ventilation with PEEP = 5 mbar

Exclusion criteria

Exclusion criteria: - Age under 18 years - Pregnant patients

Design outcomes

Primary

MeasureTime frame
1. The retrospectively created algorithms can be personalised using prospectively collected clinical patient data. 2. The pathophysiological characteristics of ARDS can be described using digital biomarkers and correlate with clinical endpoints. The evaluation of the primary endpoints is carried out after 80 patients have been included

Secondary

MeasureTime frame
1. digital biomarkers can predict clinical effects of a change in ventilation parameters. 2. in silico intervention tests in a protected software environment “sandbox” can show that the personalized algorithms support the adjustment of mechanical ventilation. 3. physical simulations can reproduce temporal drift and latent dynamics in airway disease, taking into account the biomechanical properties of the lung. The evaluation of secondary endpoints will be performed after 80 included patients

Countries

Germany

Contacts

Public ContactJan Larmann

Universitätsklinikum Heidelberg

jan.larmann@med.uni-heidelberg.de+ 49 6221 56 39447

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026