A study protocol for risk stratification in children with concussion (RSiCC): Theoretical framework, design, and methods.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 10 06 2024
accepted: 14 06 2024
medline: 18 7 2024
pubmed: 18 7 2024
entrez: 18 7 2024
Statut: epublish

Résumé

Research shows that one in five children will experience a concussion by age 16. Compared to adults, children experience longer and more severe postconcussive symptoms (PCS), with severity and duration varying considerably among children and complicating management of these patients. Persistent PCS can result in increased school absenteeism, social isolation, and psychological distress. Although early PCS diagnosis and access to evidence-based interventions are strongly linked to positive health and academic outcomes, symptom severity and duration are not fully explained by acute post-injury symptoms. Prior research has focused on the role of neuroinflammation in mediating PCS and associated fatigue; however relationship between inflammatory biomarkers and PCS severity, has not examined longitudinally. To identify which children are at high risk for persistent PCS and poor health, academic, and social outcomes, research tracking PCS trajectories and describing school-based impacts across the entire first year postinjury is critically needed. This study will 1) define novel PCS trajectory typologies in a racially/ethnically diverse population of 500 children with concussion (11-17 years, near equal distribution by sex), 2) identify associations between these typologies and patterns of inflammatory biomarkers and genetic variants, 3) develop a risk stratification model to identify children at risk for persistent PCS; and 4) gain unique insights and describe PCS impact, including fatigue, on longer-term academic and social outcomes. We will be the first to use NIH's symptom science model and patient-reported outcomes to explore the patterns of fatigue and other physical, cognitive, psychological, emotional and academic responses to concussion in children over a full year. Our model will enable clinicians and educators to identify children most at risk for poor long-term health, social, and academic outcomes after concussion. This work is critical to meeting our long-term goal of developing personalized concussion symptom-management strategies to improve outcomes and reduce disparities in the health and quality of life of children.

Identifiants

pubmed: 39024215
doi: 10.1371/journal.pone.0306399
pii: PONE-D-24-21811
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0306399

Informations de copyright

Copyright: © 2024 Reuter-Rice et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Karin Reuter-Rice (K)

Duke University School of Nursing, Durham, North Carolina, United States of America.
Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, United States of America.
Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, United States of America.

Amanda N Fitterer (AN)

Duke University School of Nursing, Durham, North Carolina, United States of America.

Peter Duquette (P)

Department of Physical Medicine & Rehabilitation, Univeristy of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, North Carolina, United States of America.

Qing Yang (Q)

Duke University School of Nursing, Durham, North Carolina, United States of America.

Anushka K Palipana (AK)

Duke University School of Nursing, Durham, North Carolina, United States of America.

Daniel Laskowitz (D)

Department of Neurology, Duke University School of Medicine, Durham, North Carolina, United States of America.

Melanie E Garrett (ME)

Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.

Margaret Fletcher (M)

Duke University School of Nursing, Durham, North Carolina, United States of America.

Julia Smith (J)

Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.

Lynn Makor (L)

Department of Public Instruction, State of North Carolina, Office of Exceptional Children, Raleigh, North Carolina, United States of America.

Gerald Grant (G)

Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, United States of America.

Kristen Ramsey (K)

Duke University Health System, Carolina Family Practice and Sports Medicine, Carolina Sports Concussion Clinic, Cary, North Carolina, United States of America.

O Josh Bloom (OJ)

Duke University Health System, Carolina Family Practice and Sports Medicine, Carolina Sports Concussion Clinic, Cary, North Carolina, United States of America.

Allison E Ashley-Koch (AE)

Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.

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