Use of the sport concussion assessment tools in the emergency department to predict persistent post-concussive symptoms in children
| Autor: | Kevin Dunne, Silvia Bressan, Vanessa C Rausa, Ed Oakley, Nicholas Anderson, Franz E Babl, Gavin A Davis, Vicki Anderson, Michael Takagi, Cathriona Clarke, Stephen Hearps, Melissa Doyle |
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| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
emergency department Adolescent Poison control Logistic regression 03 medical and health sciences 0302 clinical medicine 030225 pediatrics mild traumatic brain injury Epidemiology Injury prevention Concussion medicine Humans 030212 general & internal medicine Longitudinal Studies Prospective Studies Prospective cohort study Child Brain Concussion Post-concussion syndrome business.industry Post-Concussion Syndrome Emergency department post-concussive symptom medicine.disease SCAT Child Preschool Pediatrics Perinatology and Child Health Emergency medicine Athletic Injuries business Emergency Service Hospital child |
| Zdroj: | Journal of paediatrics and child healthReferences. 56(8) |
| ISSN: | 1440-1754 |
| Popis: | Aim The Sport Concussion Assessment Tool v3 (SCAT3) and its child version (ChildSCAT3) are composite tools including a symptom scale, a rapid cognitive assessment (standardised assessment of concussion (SAC)) and the modified Balance Error Scoring System (mBESS). It is unclear whether their use for the acute assessment of paediatric concussion in the emergency department (ED) may help predict persistent post‐concussive symptoms (PPCS). We aim to assess the predictive value of the main SCAT3/ChildSCAT3 components for PPCS when applied in the ED. Methods A single‐site, prospective longitudinal cohort study of children aged 5–18 years assessed within 48 h of their concussion at the ED of a state‐wide tertiary paediatric hospital and followed up at the affiliated concussion clinic, between November 2013 and August 2017. PPCS was defined as ≥2 new or worsening symptoms at 1 month post‐injury using the Post‐Concussive Symptom Inventory. Results Of the 370 children enrolled, 213 (57.7% |
| Databáze: | OpenAIRE |
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