Prediction of Neurological Outcome of Children After a Traumatic Brain Injury Based on an Integrated Predictive Model

November 7, 2019 updated by: Laurence Ducharme-Crevier, St. Justine's Hospital

Prediction of Neurological Outcome of Children After a Moderate or Severe Traumatic Brain Injury, Based on an Integrated Predictive Model (Serum Biomarkers, Heart Rate Variability, Computerized Classifier Output)

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.

Study Overview

Status

Unknown

Detailed Description

Traumatic brain injury (TBI) is a major cause of morbidity and mortality in children. Most children with moderate and severe TBI have long term sequelae including neurological deficit, cognitive impairment and behavioural disorders. In the acute care setting, neither clinicians nor researchers are able to adequately predict the long term outcome of children with TBI, consequently limiting their ability to tailor medical care, rehabilitation and support services. Improving our understanding of a TBI patient's exact cerebral status and prognosis is a critical step toward optimized and personalized patient management. In this research study, an innovative and integrated model will be developed to improve the prognostication in the early phase of a TBI. This model will combine key clinical variables commonly collected in the acute care setting and combine these with cutting-edge empirical measures: 1) biomarkers; 2) a new physiological monitoring based on heart-rate variability (HRV) to assess the integrity of the autonomic system; and 3) a computerized classification tool developed using the concept of artificial intelligence to continuously categorize the patient's cerebral status.

Study Type

Interventional

Enrollment (Anticipated)

70

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

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.

Exclusion Criteria:

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Prognostication model
In 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.
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Association with poor neurological outcome
Time Frame: We will assess neurocognitive function of patients at 6 ±2 months following the discharge from the Pediatric Intensive Care Unit
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adverse events
Time Frame: In the 72 hours following TBI
Adverse events will be defined as increased intracranial pressure, decreased cerebral perfusion pressure, seizure or cardiac arrest
In the 72 hours following TBI

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

January 1, 2020

Primary Completion (Anticipated)

December 1, 2021

Study Completion (Anticipated)

December 1, 2022

Study Registration Dates

First Submitted

November 6, 2019

First Submitted That Met QC Criteria

November 7, 2019

First Posted (Actual)

November 8, 2019

Study Record Updates

Last Update Posted (Actual)

November 8, 2019

Last Update Submitted That Met QC Criteria

November 7, 2019

Last Verified

November 1, 2019

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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