Literature DB >> 23820351

ANAM4 TBI reaction time-based tests have prognostic utility for acute concussion.

Jacob N Norris1, Walter Carr, Thomas Herzig, D Walter Labrie, Richard Sams.   

Abstract

The Concussion Restoration Care Center has used the Automated Neuropsychological Assessment Metrics version 4 Traumatic Brain Injury (ANAM4 TBI) battery in clinical assessment of concussion. The study's aim is to evaluate the prognostic utility of the ANAM4 TBI. In 165 concussed active duty personnel (all ultimately returned to duty) seen and tested on the ANAM4 TBI on days 3 and 5 (median times) from their injury, Spearman's ρ statistics showed that all performance subtests (at day 5) were associated with fewer days return-to-duty (RTD) time, whereas concussion history or age did not. Kruskal-Wallis statistics showed that ANAM4 TBI, loss of consciousness, and post-traumatic amnesia were associated with increased RTD time; ANAM4 TBI reaction time-based subtests, collectively, showed the largest effect sizes. A survival analysis using a Kaplan-Meier plot showed that the lowest 25% on the reaction time-based subtests had a median RTD time of 19 days, whereas those in the upper 25% had a median RTD time of approximately 7 days. Results indicate that until validated neurocognitive testing is introduced, the ANAM4 TBI battery, especially reaction time-based tests, has prognostic utility. Reprint &
Copyright © 2013 Association of Military Surgeons of the U.S.

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Year:  2013        PMID: 23820351     DOI: 10.7205/MILMED-D-12-00493

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  9 in total

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Authors:  Gregory A Elder
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2.  Acute post-traumatic stress symptoms and age predict outcome in military blast concussion.

Authors:  Christine L Mac Donald; Octavian R Adam; Ann M Johnson; Elliot C Nelson; Nicole J Werner; Dennis J Rivet; David L Brody
Journal:  Brain       Date:  2015-03-04       Impact factor: 13.501

3.  Callosal dysfunction explains injury sequelae in a computational network model of axonal injury.

Authors:  Jianxia Cui; Laurel J Ng; Vladislav Volman
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

4.  Reliability and validity of a motion-based reaction time assessment using a mobile device.

Authors:  Mark Burghart; Jordan Craig; Jeff Radel; Jessie Huisinga
Journal:  Appl Neuropsychol Adult       Date:  2018-09-05       Impact factor: 2.248

5.  Ubiquitin carboxy-terminal hydrolase-l1 as a serum neurotrauma biomarker for exposure to occupational low-level blast.

Authors:  Walter Carr; Angela M Yarnell; Ricardo Ong; Timothy Walilko; Gary H Kamimori; Uade da Silva; Richard M McCarron; Matthew L LoPresti
Journal:  Front Neurol       Date:  2015-03-16       Impact factor: 4.003

6.  Analysis of post-deployment cognitive performance and symptom recovery in U.S. Marines.

Authors:  F J Haran; Aimee L Alphonso; Alia Creason; Justin S Campbell; Dagny Johnson; Emily Young; Jack W Tsao
Journal:  PLoS One       Date:  2013-11-27       Impact factor: 3.240

7.  A Mechanistic End-to-End Concussion Model That Translates Head Kinematics to Neurologic Injury.

Authors:  Laurel J Ng; Vladislav Volman; Melissa M Gibbons; Pi Phohomsiri; Jianxia Cui; Darrell J Swenson; James H Stuhmiller
Journal:  Front Neurol       Date:  2017-06-15       Impact factor: 4.003

8.  Effect of Concussion on Reaction Time and Neurocognitive Factors: Implications for Subsequent Lower Extremity Injury.

Authors:  Tyler Ray; Daniel Fleming; Daniel Le; Mallory Faherty; Carolyn Killelea; Jeffrey Bytomski; Tracy Ray; Larry Lemak; Corina Martinez; Michael F Bergeron; Timothy Sell
Journal:  Int J Sports Phys Ther       Date:  2022-08-01

Review 9.  A review of the validity of computerized neurocognitive assessment tools in mild traumatic brain injury assessment.

Authors:  Jacques P Arrieux; Wesley R Cole; Angelica P Ahrens
Journal:  Concussion       Date:  2017-01-30
  9 in total

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