Ultrasound and Clinical Approach for the Dynamic Assessment of Fluid Tolerance in the Intensive Care Unit
NCT ID: NCT06415916
Last Updated: 2025-12-23
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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RECRUITING
100 participants
OBSERVATIONAL
2024-03-15
2026-03-31
Brief Summary
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Assessing fluid tolerance remains a challenge in clinical practice. It requires a personalised approach and the use of dynamic tests such as passive leg raising to predict response to vascular filling. Despite their common use, there are no studies evaluating the ability of changes in congestion markers during passive leg raising to predict fluid tolerance.
In conclusion, the main hypothesis is that changes in ultrasound congestion parameters (VExUS score, LUS score and others) during passive leg raising could predict a patient's subsequent tolerance to volume expander.
Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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patient
Patients admitted to intensive care who require volume expander
Cardiac ultrasound
Performed 5 times between 0 and 120 minutes
Lung ultrasound
Performed 5 times between 0 and 120 minutes
Interventions
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Cardiac ultrasound
Performed 5 times between 0 and 120 minutes
Lung ultrasound
Performed 5 times between 0 and 120 minutes
Eligibility Criteria
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Inclusion Criteria
* Patient who has provided non-opposition (or health proxy or a close relative if unable to receive the information)
* Patient admitted to intensive care and requiring volume expander
Exclusion Criteria
* Person subject to a legal protection measure
* Pregnant, parturient or breast-feeding women
* Poor echogenicity assessed by the operator
* Chronic AC/FA
* Mechanical cardiac assistance
18 Years
ALL
No
Sponsors
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Centre Hospitalier Universitaire Dijon
OTHER
Responsible Party
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Locations
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Chu Dijon Bourgogne
Dijon, , France
Countries
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Central Contacts
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Facility Contacts
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Pierre-Grégoire GUINOT
Role: primary
Other Identifiers
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GUINOT 2024
Identifier Type: -
Identifier Source: org_study_id