Prevention of Lung Injury Induced by Mechanical Ventilation in Acute Respiratory Distress Syndrome ARDS Patients
NCT ID: NCT06835881
Last Updated: 2025-04-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
30 participants
OBSERVATIONAL
2025-06-30
2027-07-31
Brief Summary
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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.
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Detailed Description
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When a benefit for patients with ARDS is found in clinical trials, it is mainly related to a reduction in the damage caused by mechanical ventilation.
Through technological progress mechanical ventilation optimization is guided by advanced monitoring, including measurement of transpulmonary pressure (TPP or LP) and/or functional imaging data (e.g. Electro-impedance Tomography, EIT).
All these monitoring systems are now incorporated in the new generation of ventilators.
* Transpulmonary pressure (TPP); By estimating trans-pulmonary pressure, investigators can assess pulmonary stress and, without doubt, better interpret critical alveolar opening pressure.
* Continuous measurement of lung pressures and volumes (end-expiratory lung volume, EELV, as a substitute for functional respiratory capacity (FRC)) can also be obtained using more recent techniques based on the study of exhaled CO2 kinetics (volumetric capnography and dynamic capnometry).
* Electro-Impedance Tomography (EIT) ; Electrical impedance tomography (PulmoVista 500 ® , Drager, Germany; or integrated into the respirator, ELISA800VIT® , Lowenstein, Germany) provides totally non-invasive, cross-sectional visualization of part of pulmonary aeration, both dynamically and regionally.
This observational study on clinical physiological data is based on the reuse of pseudonymized recorded data in 1st-line care during sequential diagnostic maneuvers based on calibrated variations in PEEP and tidal volume and obtained by advanced respiratory monitoring in the acute phase of ARDS (esophageal manometry and/or EIT) and in accordance with the most recent recommendations.
No specific research procedures are planned for this study. This study will be conducted exclusively on the basis of personal data collected as part of the usual monitoring of a participant with ARDS undergoing advanced respiratory care. The analysis focuses on data recorded during recruitment maneuvers performed as part of care for this type of patient in the ICU.
Participants are informed individually, and their non-objection to the re-use of their data for research purposes is recorded in the file. Where applicable, information is given to the trusted support person/relative/parent if the participant is unable to express his/her wishes and does not object to the re-use of his/her data for research purposes. An information note is given to the patient or the trusted support person/relative/parent
Monitoring data is currently available in the Clinical Research Unit of our Intensive Care Departments, thanks to a data extraction system based on PHILIPS IntelliVue® or Mindray Benevision® monitoring solutions. It should be noted that the Data Warehouse Connect software solution enables all these data to be collected with fine sampling (2 ms for tracings, 1s for digital data), considerably extending the capabilities in terms of data analysis and exploitation. The extraction system is temporally coupled to patient events and medication (doses) administered, thanks to an IntelliSpace Critical Care and Anesthesia (ICCAA) information system that is operational in the ICU.
These data are downloaded onto a secure server with restricted access, then loaded into a database (SQL) for future processing of the pseudonymized data.
The data will be collected as part of routine care and is integrated in compliance with the RGPD.
Demographic data will be collected using the intensive care record (ORBIS or equivalent / computerized patient record).
Aim of the study Does the analysis of advanced monitoring data provide characteristic measured parameters that could help prevent or even reduce ventilator-induced lesions? Can these data be integrated into a model to build a digital twin for practical, simplified monitoring of ventilatory function?
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* 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.
Exclusion Criteria
18 Years
ALL
No
Sponsors
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INSERM UMR-942, Paris, France
OTHER
M3DISIM
OTHER
Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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Joaquim MATEO, MD
Role: STUDY_DIRECTOR
Assistance Publique - Hôpitaux de Paris
Fabrice VALLEE, MD PhD
Role: PRINCIPAL_INVESTIGATOR
Assistance Publique - Hôpitaux de Paris
Locations
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AP-HP, Lariboisière Hospital, Department of Anesthesiology and Intensive Care
Paris, , France
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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APHP241678
Identifier Type: -
Identifier Source: org_study_id
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