Literature DB >> 23003560

The utility of post-concussion neuropsychological data in identifying cognitive change following sports-related MTBI in the absence of baseline data.

Ruben J Echemendia1, Jared M Bruce, Christopher M Bailey, James Forrest Sanders, Peter Arnett, Gray Vargas.   

Abstract

Neuropsychological tests have become commonplace in the assessment of sports-related concussion. Typically, post-injury test data are compared to pre-injury "baselines." Baseline testing can be expensive and logistically challenging, yet the usefulness of neuropsychological baseline testing has not been tested empirically. This paper examines the extent to which baseline testing is useful for detecting neurocognitive deficits following sports concussion in a college-age population. A total of 223 collegiate athletes from multiple sports who sustained concussions and had both baseline and post-injury testing using Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) were included in the study. Reliable change (RC) in scores was determined by two approaches, the Jacobson and Truax (JT) and the Gulliksen-Lord-Novick (GLN) methods. The 90% confidence interval was used for both. Classification using these methods was compared to standard normative methods that compared post-concussion performance to baseline population means. Agreement between reliable change and normative methods was examined using Cohen's Kappa scores to determine whether post-injury scores alone could identify reliable cognitive decline. Mean time from concussion to post-injury testing was 3.40 days. The percentage of athletes who declined when using the JT method was similar to the percentage that would be expected to decline due to chance alone. Although the GLN and JT methods demonstrated moderate to substantial agreement, the GLN method consistently identified more cognitively compromised athletes than the JT method. Post-injury scores alone identified a significant majority of athletes with a reliable decline on ImPACT. Although preliminary and in need of replication across age groups and instruments, these findings suggest that the majority of collegiate athletes who experience clinically meaningful post-concussion cognitive decline can be identified without baseline data.

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Year:  2012        PMID: 23003560     DOI: 10.1080/13854046.2012.721006

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  23 in total

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Authors:  William T Tsushima; Andrea M Siu; Annina M Pearce; Guangxiang Zhang; Ross S Oshiro
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2.  Clinical Reaction-Time Performance Factors in Healthy Collegiate Athletes.

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Review 3.  Administration and environment considerations in computer-based sports-concussion assessment.

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4.  Considerations for neurosurgeons: recommendations from the CDC Pediatric Mild Traumatic Brain Injury Guideline.

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5.  Sensitivity and Specificity of Computer-Based Neurocognitive Tests in Sport-Related Concussion: Findings from the NCAA-DoD CARE Consortium.

Authors:  Lauren L Czerniak; Spencer W Liebel; Gian-Gabriel P Garcia; Mariel S Lavieri; Michael A McCrea; Thomas W McAllister; Steven P Broglio
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6.  Comparing post-concussive neurocognitive test data to normative data presents risks for under-classifying "above average" athletes.

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Journal:  Arch Clin Neuropsychol       Date:  2014-09-01       Impact factor: 2.813

7.  Brain function associated with reaction time after sport-related concussion.

Authors:  Nathan W Churchill; Michael G Hutchison; Simon J Graham; Tom A Schweizer
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8.  Descriptive Values for Dancers on Baseline Concussion Tools.

Authors:  Lauren McIntyre; Marc Campo
Journal:  J Athl Train       Date:  2017-11-09       Impact factor: 2.860

9.  Vestibular Deficits following Youth Concussion.

Authors:  Daniel J Corwin; Douglas J Wiebe; Mark R Zonfrillo; Matthew F Grady; Roni L Robinson; Arlene M Goodman; Christina L Master
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10.  Quantifying the Value of Multidimensional Assessment Models for Acute Concussion: An Analysis of Data from the NCAA-DoD Care Consortium.

Authors:  Gian-Gabriel P Garcia; Steven P Broglio; Mariel S Lavieri; Michael McCrea; Thomas McAllister
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

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