Citation

Rice V, Boykin GL, Alfred P, Lindsay G, Overby C, Jeter A, Lester M, Allison S, Cooper D. Work 2019; 63(2): 165-180.

Affiliation

San Antonio Area Medical Center, JBSA Fort Sam Houston, TX, USA.

Copyright

(Copyright © 2019, IOS Press)

DOI

10.3233/WOR-192918

PMID

31156198

Abstract

BACKGROUND: A standard, reliable, objective measure is needed for identifying individuals with mild to moderate traumatic brain injury (TBI).

OBJECTIVE: The purpose of this study was to examine balance using an AMTI OR6-7 force platform (FP), neurocognition and mood using the Automated Neuropsychological Assessment Metric4 (ANAM4), blood flow comparisons using a Brain Acoustic Monitor (BAM), and voice using Voice Analysis software (VA) for screening service members for a mild to moderate TBI.

METHODS: Active duty and retired service member volunteers (n = 88, 35 with a diagnosis of mild to moderate TBI and 53 who never had a TBI) completed an informed consent document, and evaluations using the four technologies.

RESULTS: Development of a clinical prediction rule yielded two FP variables and one ANAM4 Mood Scale variable (vigor) as helpful in predicting the presence of a TBI. Assuming a 15% pre-test probability, these predictors yield a post-test probability of 75.7% for a positive result with any two or more measures being positive, and a post-test probability of 2.3% for a negative result with zero measures being positive.

CONCLUSIONS: This study demonstrated the usefulness of a force platform and a self-reported mood scale for predicting presence of mild to moderate TBI.

Language: en

Keywords

Automated neuropsychological assessment metrics; balance; brain acoustic monitor; voice analysis