Transcranial Doppler and Quantitative Pupillometry as Neurological Prognostic Factors in Brain Damaged Patients Admitted to Intensive Care Unit
NCT ID: NCT04846738
Last Updated: 2023-05-01
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
73 participants
OBSERVATIONAL
2021-04-01
2022-08-14
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Study Groups
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brain damaged patients
All major brain damaged patients (stroke or head trauma) admitted to reanimation will be included.
In the usual practice, they have a Transcranial Doppler and the measurement of the photomotor reflex by quantitative Pupillometry.
It is planned to collect the simultaneous values of the different parameters during 2,000 measurements.
The data will be collected retrospectively from 01/12/2020, and prospectively from 01/04/2021.
Transcranial Doppler
This device measures Mean Systolic Velocity (VMS), Tele-Diastolic Velocity (TDV) and Pulsatility Index (PI),
Pupillometry.
This device measures the photomotor reflex (basic pupil diameter, percentage of variation, latent and slope of the standard photomotor reflex)
Interventions
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Transcranial Doppler
This device measures Mean Systolic Velocity (VMS), Tele-Diastolic Velocity (TDV) and Pulsatility Index (PI),
Pupillometry.
This device measures the photomotor reflex (basic pupil diameter, percentage of variation, latent and slope of the standard photomotor reflex)
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Admitted to Intensive Care Unit since December 1, 2020
Exclusion Criteria
* Benefiting from legal protection
18 Years
ALL
No
Sponsors
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Centre Hospitalier Universitaire de Saint Etienne
OTHER
Responsible Party
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Principal Investigators
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David CHARIER, MD
Role: PRINCIPAL_INVESTIGATOR
CHU SAINT-ETIENNE
Locations
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CHU Saint-Etienne
Saint-Etienne, , France
Countries
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Other Identifiers
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IRBN282021/CHUSTE
Identifier Type: -
Identifier Source: org_study_id
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