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The purpose of this study is to gather information and compare the potential use of pupillometry to identify concussions and post concussive syndrome with standard age appropriate assessments. The study will compare concussed pediatric patients 5-17 years of age recruited from the emergency department within 72 hours following injury with age and gender matched non-concussed pediatric patients recruited from primary care clinics. Assessment of both concussed and non-concussed subjects will take place at the initial enrollment visit and will be repeated at 1-2 weeks for the concussed subjects and at 12-14 weeks for both groups.
Traumatic brain injury (TBI) is the leading cause of disability and death in children. In both pediatric and adult populations, concussion is the most prevalent type of TBI and can result in persistent post-concussive symptoms. Early recognition and treatment of concussion is critical to the prevention of long-term sequelae and has recently become a national public-health priority. Comprehensive assessment and diagnosis of concussion commonly includes the use of a multimodal approach using a graded symptoms checklist, neurocognitive testing, and balance assessment. An objective biomarker to definitively diagnose concussion would revolutionize its management-allowing for accurate and immediate determination of return to play/duty, decreasing unnecessary exposure to radiation, and reducing the overall cost of care. Considering the paucity of evidence regarding the use of pupillary light reflex in concussed children and the lack of a biomarker for concussion, further examination of the use of objective pupillary metrics in this population is warranted. The purpose of this study is to gather information and compare the potential use of pupillometry to identify concussions and post concussive syndrome with standard age appropriate assessments. The proposed study design is prospective, longitudinal case-control consisting of two distinct cohorts: concussed participants and healthy control participants. All concussion management decisions will be determined independent of the study by the healthcare provider(s). Trained personnel performing follow-up assessments will use established clinical criteria to notify appropriate healthcare provider and/or study team member of any clinical concerns or unanticipated events. The study will compare concussed pediatric patients 5-17 years of age recruited from the emergency department within 72 hours following injury with age and gender matched non-concussed pediatric patients recruited from affiliated primary care and adolescent clinics. Assessment of both concussed and non-concussed subjects will take place at the initial enrollment visit and will be repeated at 1-2 weeks for the concussed subjects and at 12-14 weeks for both groups. Age appropriate assessment will include the Post-Concussion Symptom Inventory (PCSI), Post-Concussion Symptom Scale (PCSS), pupillometry, Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT), and Balance Error Scoring System (BESS). The primary objectives are to examine the acute (\<72 hours), subacute (1-2 week), and long-term (12-14 weeks post-injury) longitudinal association among pupillary metrics, standardized neurocognitive tests, and objective balance assessment in pediatric patients with concussion versus controls. The secondary objectives are to evaluate the effectiveness of pupillometer data as an objective biomarker to aid in the identification of concussion and post-concussive syndrome in children. Results will generate new knowledge regarding the clinical utility of pupillometers in this patient population. We will explore the period that best differentiates concussion and controls.
Age
5 - 17 years
Sex
ALL
Healthy Volunteers
Yes
CHOC Children's
Orange, California, United States
Start Date
March 11, 2020
Primary Completion Date
September 1, 2022
Completion Date
December 1, 2022
Last Updated
March 11, 2022
130
ESTIMATED participants
Pupillary Assessment
OTHER
Lead Sponsor
Children's Hospital of Orange County
Collaborators
Data Source & Attribution
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