Electrical Impedance Tomography: Collapse in Dependent Areas as a Predictor of Response to Prone Position Ventilation in COVID-19 Acute Respiratory Distress Syndrome
NCT ID: NCT04603755
Last Updated: 2021-09-16
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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COMPLETED
50 participants
OBSERVATIONAL
2020-10-26
2021-03-18
Brief Summary
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If the interest of Electrical Impedance Tomography has been demonstrated in classical ARDS, this is not the case in ARDS with COVID-19.
However, the use of this technique in this particular patient population would make it possible to distinguish patients with severe hypoxemia linked to derecruitment from those without derecruitment, in whom hypoxemia is more likely to be linked to the loss of hypoxic vasoconstriction.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Electrical Impedance tomography
Electrical Impedance tomography recording during 5 minutes every day during 7 days
Eligibility Criteria
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Inclusion Criteria
* Under controlled invasive ventilation for less than 7 days
Exclusion Criteria
* Deformation of the rib cage
* Contraindication to Electrical Impedance Tomography
* Pregnant or breastfeeding woman
18 Years
ALL
No
Sponsors
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Direction Centrale du Service de Santé des Armées
OTHER
Responsible Party
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Locations
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Hôpital de la Timone
Marseille, , France
Hôpital d'Instruction des Armées Sainte-Anne
Toulon, , France
Countries
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References
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Cardinale M, Boussen S, Cungi PJ, Esnault P, Mathais Q, Bordes J, Meaudre E, Goutorbe P. Lung-Dependent Areas Collapse, Monitored by Electrical Impedance Tomography, May Predict the Oxygenation Response to Prone Ventilation in COVID-19 Acute Respiratory Distress Syndrome. Crit Care Med. 2022 Jul 1;50(7):1093-1102. doi: 10.1097/CCM.0000000000005487. Epub 2022 Feb 11.
Other Identifiers
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2020-A02823-36
Identifier Type: OTHER
Identifier Source: secondary_id
2020-COVID19-16
Identifier Type: -
Identifier Source: org_study_id
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