Prediction of Neurological Outcome of Children After a Traumatic Brain Injury Based on an Integrated Predictive Model
1 other identifier
interventional
70
0 countries
N/A
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2020
Typical duration for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 6, 2019
CompletedFirst Posted
Study publicly available on registry
November 8, 2019
CompletedStudy Start
First participant enrolled
January 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2022
CompletedNovember 8, 2019
November 1, 2019
1.9 years
November 6, 2019
November 7, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Association with poor neurological outcome
A poor neurological outcome will be defined as on death or neurocognitive dysfunction in survivors
We will assess neurocognitive function of patients at 6 ±2 months following the discharge from the Pediatric Intensive Care Unit
Secondary Outcomes (1)
Adverse events
In the 72 hours following TBI
Study Arms (1)
Prognostication model
EXPERIMENTALIn a prospective cohort of children hospitalized in a PICU, development of 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.
Interventions
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.
Eligibility Criteria
You may qualify if:
- Children 1) \<18 years; 2) admitted to the Paediatric Intensive Care Unit at the Centre Hospitalier Universitaire Ste-Justine; 3) moderate (Glasgow Coma Scale (GCS): 9-12) or severe TBI (GCS ≤8), assessed after initial resuscitation; 4) admitted to the Paediatric Intensive Care Unit less than 24 hours after the initial TBI and 5) written parental consent. Patients with either inflicted or accidental TBI will be included as they characterize different but important population, our model should be valuable for both.
You may not qualify if:
- Children 1) suspected of being brain death at the time of Paediatric Intensive Care Unit entry (GCS 3 and loss of all brain stem reflexes); 2) with a pacemaker (HRV monitoring unreliable); and/or 3) patients or parents who do not speak or read English or French.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Paediatric Intensivist
Study Record Dates
First Submitted
November 6, 2019
First Posted
November 8, 2019
Study Start
January 1, 2020
Primary Completion
December 1, 2021
Study Completion
December 1, 2022
Last Updated
November 8, 2019
Record last verified: 2019-11