Given the huge volume of mechanically ventilated patients at risk of ARDS, optimizing hematosis by limiting pulmonary and systemic aggression associated with artificial ventilation techniques is a key objective if we are to further improve the prognosis of ARDS.
With a view to improving cardiopulmonary monitoring in ARDS, modeling using digital twins individualized by nature should ultimately enrich the diagnostic approach by simplifying the technical set-up. Advances in modeling in terms of speed, rendering and results could be applied to personalized monitoring to find the right artificial ventilation setting for the right patient, at the right time.
Adults ≥ 18 years requiring intensive care hospitalization for moderate-to-severe ARDS defined by a PaO2/FiO2 ratio < 200 mmHg and benefiting from respiratory monitoring including esophageal pressure (EPP) and EIT.
Patient having been individually informed and not objecting to the re-use of his/her data for research purposes or, where applicable, trusted support person / close relative / parent of patient unable to express his/her wishes.
Patient, or where applicable, trusted support person / close relative / parent of patient unable to express his/her wishes, opposed to the re-use of his/her data for research purposes.
Participants or populations are selected based on predefined criteria
Cohort
Prospective
Not listed
Describe and a posteriori analyze the recorded data and establish a relationship between the biomechanical characteristics of the data ("air" compartment, stress and strain) and the risk of mechanical ventilation-induced lesions (MVIL) in ARDS patients.
\- PEEP levels (cmH2O)
Describe and a posteriori analyze the data recorded and establish a relationship between aeration gain and gas exchange.
Ventilation/pulmonary perfusion (in %) obtained with the Electro-Impedance Tomography (EIT) data
Use part of the collected data to customize a continuously calibrated integrative biomechanical model of the cardiopulmonary system to create a digital twin of the patient.
\- Transpulmonary pressure (TPP) (in cmH2O)
Stratify physiological data according to the main phenotypes determining respiratory mechanics, or endotypes of interest, for a personalized approach to ventilator settings (active and passive phases).
\- Pulmonary stress (mL/cmH2O)
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Assistance Publique - Hôpitaux de Paris
Lead sponsor
INSERM UMR-942, Paris, France
Collaborator
M3DISIM
Collaborator
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