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Articles

Using change scores on the vestibular ocular motor screening (VOMS) tool to identify concussion in adolescents

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Abstract

Objective

To develop clinical cutoffs using change scores for the VOMS individual items and an overall VOMS change score that identified concussion in adolescent athletes.

Methods

Change score clinical cutoffs were calculated from a sample of adolescents (13–18 years) with SRC (n=147) and a sample of uninjured adolescents CONTROL (n=147). Receiver operating characteristic (ROC) curves, with area under the curve (AUC), based on Youden’s J statistic were used to identify optimal cutoffs for identifying SRC from CONTROLS using VOMS individual item change scores, an overall VOMS change scores, and NPC distance (cm).

Results

AUC values for VOMS item change scores ranged from .55 to .71. Optimal change score cutoffs were ≥1 for VOMS items and ≥3 for overall VOMS change score. The optimal cutoff for NPC distance was ≥3 cm. A ROC analysis revealed a three-factor model (AUC = .76) for identifying SRC that included vertical vesibular ocular reflex (VVOR), visual motion sensitivity (VMS), and NPC distance items. The AUC (.73) for the overall VOMS change score was higher than any individual VOMS AUC values.

Conclusions

This study supports an alternate scoring approach and clinical interpretation of VOMS items involving change scores that account for pretest symptoms.

Additional information

Funding

Dr. Collins is a former shareholder and board-member of ImPACT Applications (relationship ended 12/16/19). Drs. Collins and Kontos receive book royalties from APA Books. Dr. Womble has received payment from ImPACT Applications for providing continuing education talks. Dr. Philip Schatz is a member of ImPACT Applications Inc. scientific advisory board. All other authors have no conflicts of interest to disclose. Drs. Collins and Kontos have funding for research from the National Football League through the University of Pittsburgh. Drs. Elbin and Womble have funding for research from Brainscope, Inc. through the University of Arkansas and Inova Healthcare.

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