- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04023786
Positive End-expiratory Pressure Effects to Predict Fluid Responsiveness (PEEP-TEST)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Volume expansion is one of the main treatments for shock, with the goal of increasing cardiac preload and, consequently, cardiac output. However, this increase only occurs if there is a preload-dependence of cardiac output, which is present in 50% of cases. A test to predict the effectiveness of volume expansion prior to administration would avoid the need for excess treatment if it proves to be unnecessary. The end-expiratory pressure test (PEEP) would be to vary the PEEP in patients in shock conditions placed under mechanical ventilation. PEEP is the positive pressure maintained in the airways at the end of expiration. It opposes systemic venous return and lowers cardiac preload. It also distends the pulmonary vessels, increases their resistance and opposes the ejection of the right ventricle. The decrease in PEEP could alleviate the obstacle to venous return and thus increase cardiac preload, mimicking a volume expansion, increasing cardiac output only in the case of preload dependence. This test would be an easy alternative to the tests used in current practice. To evaluate the ability of the PEEP test to detect a preload-dependence condition, defined by a passive passive leg raising test, in patients in shock.
The primary endpoint will be the area under the receiver operating characteristic (ROC) curve constructed to describe the ability of the PEEP test to detect a preload-dependency condition. We measure cardiac output by analysis of the pulse wave contour before and after the passive leg raising and PEEP test tests, then according to these tests, measurement of the cardiac output before and after volume expansion.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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Paris, France, 75651
- Dr Alexandra Beurton
-
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Val de Marne
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Le Kremlin-Bicêtre, Val de Marne, France
- Dr Alexandra Beurton
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Age ≥ 18 years
- Coverage by a health insurance scheme
- Patient under mechanical invasive ventilation (tracheal intubation)
- PEEP level ≥10 cmH2O
- Cardiac flow monitoring device in place by the PiCCO2 system (Pulsion Medical Systems, Feldkirch, Germany).
- Ikorus urinary catheter in place
- Decision by the doctors in charge of carrying out a passive leg raising test and / or a volume expansion
Exclusion Criteria:
- Pregnancy
- Participation in another interventional study
- Patients under the protection of justice
- Thoracic drainage (preventing PEP changes from inducing intrathoracic and transpulmonary pressure changes from their hemodynamic effects).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: 70 patients, one arm
All patients benefits of a passive leg raising test and a PEEP test to compare these two tests.
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The PEEP test will consist of lowering the PEEP level to 5 cmH2O for a maximum of 2 minutes and a minimum of 1 minute.
Patients will be included if the physicians who care for them have decided to set a baseline PEEP level ≥10 cmH2O.
The VenArt System for estimating cardiac output (a patch stuck to the surface of the neck and a saturation sensor placed at the tip of a finger).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Ability of the PEP test to detect a preload-dependency condition.
Time Frame: At the end of the hospitalization in intensive care unit (1 month maximum)
|
The primary endpoint will be the area under the receiver operating characteristic (ROC) curve constructed to describe the ability of the PEP test to detect a preload-dependency condition.
|
At the end of the hospitalization in intensive care unit (1 month maximum)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Relationship between the ability of the PEEP test to detect a preload-dependancy and secondly the PEEP delta induced by the test
Time Frame: At the end of the hospitalization in intensive care unit (1 month maximum)
|
The secondary endpoint will be the relationship between the area under the curve constructed to describe the ability of the PEP test to detect a preload-dependency state and the PEP delta induced by the test (PEP starting, high, PEP during the test, at 5 cmH2O).
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At the end of the hospitalization in intensive care unit (1 month maximum)
|
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Ability of the PEP test to detect a response to volume expansion.
Time Frame: At the end of the hospitalization in intensive care unit (1 month maximum)
|
The secondary endpoint will be the area under the curve constructed to describe the ability of the PEP test to detect a response to volume expansion.
|
At the end of the hospitalization in intensive care unit (1 month maximum)
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 2018-A01599-46
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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