Prediction of Neurological Outcome of Children After a Traumatic Brain Injury Based on an Integrated Predictive Model
NCT04157634 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 70
Last updated 2019-11-08
Summary
This study aims to develop a integrated predictive model based on serum biomarkers, HRV, and an innovative computerized classifier output, to predict the patient long term neurological outcome after a moderate or severe TBI in children.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Prognostication model
In a prospective cohort of children hospitalized in a PICU, developement a model based on biomarkers, HRV, and a computerized classifier output, to predict long-term neurological outcome after a moderate or severe TBI in children aged 0 to 18 years.
Sponsors & Collaborators
-
St. Justine's Hospital
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-31
- Primary Completion
- 2021-12-31
- Completion
- 2022-12-31
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