Literature DB >> 21904694

Differences in change scores and the predictive validity of three commonly used measures following concussion in the middle school and high school aged population.

Michael Barlow, Drew Schlabach, Jeffery Peiffer, Chad Cook.   

Abstract

BACKGROUND: A battery of tests is commonly used to measure disability with and recovery from concussion. A number of different concussion-oriented assessment tests exist and each is considered useful. To the authors' knowledge, no study has compared the scores of these tests during recovery in the middle school and high school aged population to see how each change over time.
PURPOSE: The purposes of this study were to analyze clinical data of concussed middle school and high school aged athletes to determine the concurrent and predictive validity for post-concussion syndrome (PCS) of the Post-Concussion Symptom Scale (PCSS), Balance Error Scoring System (BESS), and the five subscales of the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT).
METHODS: The study was a retrospective chart review performed on middle school and high school aged individuals with a diagnosis of concussion from the years 2008-2010 within the Akron Children's Hospital Sports Medicine system. To be eligible for inclusion in the dataset, each subject required a baseline measurement for each of the three tests (and all five subscales of the ImPACT) and a post-test measure. The mean age of the population was 15.38 years (SD = 1.7) and ranged from 11 to 19 years. Pearson product correlation tests (correlation matrix) were used to analyze the concurrent validity of the test items during recovery following a concussion. Receiver operating characteristics (ROC) curves were used to determine the predictive validity of initial scores for developing PCS.
RESULTS: The correlation matrix captured five statistically significant findings; however, these suggested only weak to mild correlations. Five test items yielded an area under the curve (AUC) greater than 0.50 but only one was statistically significant. After qualitative evaluation, only one of the three tests (including the five subscales of the ImPACT) was useful in predicting post-concussion syndrome.
CONCLUSION: This study suggests that there is poor concurrent validity among three commonly used concussion tests and there is no baseline score that predicts whether post-concussion syndrome will occur. LEVEL OF EVIDENCE: 2b.

Entities:  

Keywords:  Concussion; Diagnostic accuracy; Post-concussion syndrome; Validity

Year:  2011        PMID: 21904694      PMCID: PMC3163995     

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


  38 in total

1.  Epidemiology and predictors of post-concussive syndrome after minor head injury in an emergency population.

Authors:  J J Bazarian; T Wong; M Harris; N Leahey; S Mookerjee; M Dombovy
Journal:  Brain Inj       Date:  1999-03       Impact factor: 2.311

Review 2.  Postural stability assessment following concussion: one piece of the puzzle.

Authors:  K M Guskiewicz
Journal:  Clin J Sport Med       Date:  2001-07       Impact factor: 3.638

3.  Supporting the student-athlete's return to the classroom after a sport-related concussion.

Authors:  Neal McGrath
Journal:  J Athl Train       Date:  2010 Sep-Oct       Impact factor: 2.860

Review 4.  Return to play after concussion: principles and practice.

Authors:  James Kissick; Karen M Johnston
Journal:  Clin J Sport Med       Date:  2005-11       Impact factor: 3.638

Review 5.  Pediatric sport-related concussion: a review of the clinical management of an oft-neglected population.

Authors:  Michael W Kirkwood; Keith Owen Yeates; Pamela E Wilson
Journal:  Pediatrics       Date:  2006-04       Impact factor: 7.124

6.  Predicting postconcussion syndrome after minor traumatic brain injury.

Authors:  J J Bazarian; S Atabaki
Journal:  Acad Emerg Med       Date:  2001-08       Impact factor: 3.451

7.  Current trends in athletic training practice for concussion assessment and management.

Authors:  Andrew J Notebaert; Kevin M Guskiewicz
Journal:  J Athl Train       Date:  2005 Oct-Dec       Impact factor: 2.860

Review 8.  Prognosis for mild traumatic brain injury: results of the WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury.

Authors:  Linda J Carroll; J David Cassidy; Paul M Peloso; Jörgen Borg; Hans von Holst; Lena Holm; Chris Paniak; Michel Pépin
Journal:  J Rehabil Med       Date:  2004-02       Impact factor: 2.912

9.  The relationship between gender and postconcussion symptoms after sport-related mild traumatic brain injury.

Authors:  Sarah J Preiss-Farzanegan; Benjamin Chapman; Tony M Wong; Joanne Wu; Jeffrey J Bazarian
Journal:  PM R       Date:  2009-03       Impact factor: 2.298

10.  Measurement of symptoms following sports-related concussion: reliability and normative data for the post-concussion scale.

Authors:  Mark R Lovell; Grant L Iverson; Michael W Collins; Kenneth Podell; Karen M Johnston; Dustin Pardini; Jamie Pardini; John Norwig; Joseph C Maroon
Journal:  Appl Neuropsychol       Date:  2006
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  17 in total

1.  Predicting Risk of Sport-Related Concussion in Collegiate Athletes and Military Cadets: A Machine Learning Approach Using Baseline Data from the CARE Consortium Study.

Authors:  Joel Castellanos; Cheng Perng Phoo; James T Eckner; Lea Franco; Steven P Broglio; Mike McCrea; Thomas McAllister; Jenna Wiens
Journal:  Sports Med       Date:  2021-03       Impact factor: 11.136

2.  Test-retest consistency of a postural sway assessment protocol for adolescent athletes measured with a force plate.

Authors:  Catherine C Quatman-Yates; Aaron Lee; Jason A Hugentobler; Brad G Kurowski; Gregory D Myer; Michael A Riley
Journal:  Int J Sports Phys Ther       Date:  2013-12

Review 3.  Prognostic Factors in Pediatric Sport-Related Concussion.

Authors:  Scott L Zuckerman; Benjamin L Brett; Aaron S Jeckell; Aaron M Yengo-Kahn; Gary S Solomon
Journal:  Curr Neurol Neurosci Rep       Date:  2018-11-05       Impact factor: 5.081

Review 4.  Validity of the Immediate Post Concussion Assessment and Cognitive Testing (ImPACT).

Authors:  Bara Alsalaheen; Kayla Stockdale; Dana Pechumer; Steven P Broglio
Journal:  Sports Med       Date:  2016-10       Impact factor: 11.136

5.  The utility of the balance error scoring system for mild brain injury assessments in children and adolescents.

Authors:  Catherine Quatman-Yates; Jason Hugentobler; Robin Ammon; Najima Mwase; Brad Kurowski; Gregory D Myer
Journal:  Phys Sportsmed       Date:  2014-09       Impact factor: 2.241

6.  Relationship Between Cognitive Assessment and Balance Measures in Adolescents Referred for Vestibular Physical Therapy After Concussion.

Authors:  Bara A Alsalaheen; Susan L Whitney; Gregory F Marchetti; Joseph M Furman; Anthony P Kontos; Michael W Collins; Patrick J Sparto
Journal:  Clin J Sport Med       Date:  2016-01       Impact factor: 3.638

7.  Association of Salivary MicroRNA Changes With Prolonged Concussion Symptoms.

Authors:  Jeremiah J Johnson; Andrea C Loeffert; Jennifer Stokes; Robert P Olympia; Harry Bramley; Steven D Hicks
Journal:  JAMA Pediatr       Date:  2018-01-01       Impact factor: 16.193

8.  Examining Recovery Trajectories After Sport-Related Concussion With a Multimodal Clinical Assessment Approach.

Authors:  Luke C Henry; R J Elbin; Michael W Collins; Gregory Marchetti; Anthony P Kontos
Journal:  Neurosurgery       Date:  2016-02       Impact factor: 4.654

9.  Reliability Testing of the Balance Error Scoring System in Children Between the Ages of 5 and 14.

Authors:  Colby Hansen; Dan Cushman; Wei Chen; Jerry Bounsanga; Man Hung
Journal:  Clin J Sport Med       Date:  2017-01       Impact factor: 3.638

10.  Factors Associated With Clinical Recovery After Concussion in Youth Ice Hockey Players.

Authors:  Carolyn A Emery; Vineetha Warriyar Kv; Amanda M Black; Luz Palacios-Derflingher; Stacy Sick; Chantel Debert; Brian L Brooks; Keith Owen Yeates; Martin Mrazik; Constance Lebrun; Brent E Hagel; Sean Dukelow; Kathryn J Schneider
Journal:  Orthop J Sports Med       Date:  2021-05-05
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