Multidomain Predictors of Protracted Recovery following Concussion Among 5- to 9-Year-Old Patients: A Preliminary Study.

OBJECTIVE: To determine which components from a multidomain assessment best predict protracted recovery in pediatric patients with a concussion. STUDY DESIGN: A prospective cohort of patients aged 5-9 years who presented within 21 days of concussion to a specialty clinic were categorized into normal (≤30 days) and protracted (>30 days) recovery. Participants provided demographic and medical history information, and completed the Child Sport Concussion Assessment Tool-5 symptom report and balance assessment, the Vestibular/Ocular Motor Screen-Child (VOMS-C), and the Pediatric Immediate Post-concussion Assessment and Cognitive Testing. Univariate logistic regressions (LR) were used to inform a follow-up forward stepwise LR to identify the best predictors of protracted recovery. Receiver operating characteristic analysis of the area under the curve (AUC) was used to identify which predictors retained from the LR model best discriminated recovery. RESULTS: The final sample included 68 patients (7.52 ± 2.3 years; 56% male), 36 (52.9%) with normal and 32 (47.1%) with protracted recovery. Results of the LR to identify protracted recovery were significant (P < .001) and accounted for 39% of the variance. The model accurately classified 78% of patients, with days to first clinic visit (OR, 1.2; 95% CI, 1.1-1.4; P = .003) and positive VOMS-C findings (OR, 8.32; 95% CI, 2.4-28.8; P < .001) as significant predictors. A receiver operating characteristic analysis of the AUC of this 2-factor model discriminated protracted from normal recovery (AUC, 0.82; 95% CI, 0.71-0.92; P < .001). CONCLUSIONS: Days to first clinic visit and positive findings on the VOMS-C were the most robust predictors of protracted recovery after concussion in young pediatric patients.

A Common Data Element-Based Adjudication Process for mTBI Clinical Profiles: A Targeted Multidomain Clinical Trial Preliminary Study.

INTRODUCTION: The primary purpose of this study was to examine the prevalence and percent agreement of clinician-identified mild traumatic brain injury (mTBI) clinical profiles and cutoff scores for selected Federal Interagency Traumatic Brain Injury Research common data elements (CDEs). A secondary purpose was to investigate the predictive value of established CDE assessments in determining clinical profiles in adults with mTBI. MATERIALS AND METHODS: Seventy-one (23 males; 48 females) participants (M = 29.00, SD = 7.60, range 18-48 years) within 1-5 months (M = 24.20, SD = 25.30, range 8-154 days) of mTBI completed a clinical interview/exam and a multidomain assessment conducted by a licensed clinician with specialized training in concussion, and this information was used to identify mTBI clinical profile(s). A researcher administered CDE assessments to all participants, and scores exceeding CDE cutoffs were used to identify an mTBI clinical profile. The clinician- and CDE-identified clinical profiles were submitted to a multidisciplinary team for adjudication. The prevalence and percent agreement between clinician- and CDE-identified clinical profiles was documented, and a series of logistic regressions with adjusted odds ratios were performed to identify which CDE assessments best predicted clinician-identified mTBI clinical profiles. RESULTS: Migraine/headache, vestibular, and anxiety/mood mTBI clinical profiles exhibited the highest prevalence and overall percent agreement among CDE and clinician approaches. Participants exceeding cutoff scores for the Global Severity Index and Headache Impact Test-6 assessments were 3.90 and 8.81 times more likely to have anxiety/mood and migraine/headache profiles, respectively. The Vestibular/Ocular Motor Screening vestibular items and the Pittsburgh Sleep Quality Index total score were predictive of clinician-identified vestibular and sleep profiles, respectively. CONCLUSIONS: The CDEs from migraine/headache, vestibular, and anxiety/mood domains, and to a lesser extent the sleep modifier, may be clinically useful for identifying patients with these profiles following mTBI. However, CDEs for cognitive and ocular may have more limited clinical value for identifying mTBI profiles.

Targeted multidomain intervention for complex mTBI: protocol for a multisite randomized controlled trial in military-age civilians.

Background: Mild traumatic brain injury (mTBI) affects ~18,000 military personnel each year, and although most will recover in 3-4 weeks, many experience persisting symptoms and impairment lasting months or longer. Current standard of care for U.S. military personnel with complex mTBI involves initial (<48 h) prescribed rest, followed by behavioral (e.g., physical activity, sleep regulation, stress reduction, hydration, nutrition), and symptom-guided management. There is growing agreement that mTBI involves different clinical profiles or subtypes that require a comprehensive multidomain evaluation and adjudication process, as well as a targeted approach to treatment. However, there is a lack of research examining the effectiveness of this approach to assessing and treating mTBI. This multisite randomized controlled trial (RCT) will determine the effectiveness of a targeted multidomain (T-MD) intervention (anxiety/mood, cognitive, migraine, ocular, vestibular; and sleep, autonomic) compared to usual care (behavioral management) in military-aged civilians with complex mTBI. Methods: This study employs a single-blinded, two-group repeated measures design. The RCT will enroll up to 250 military-aged civilians (18-49 yrs) with a diagnosed complex mTBI within 8 days to 6 months of injury from two concussion specialty clinics. The two study arms are a T-MD intervention and a usual care, behavioral management control group. All participants will complete a comprehensive, multidomain clinical evaluation at their first clinical visit. Information gathered from this evaluation will be used to adjudicate mTBI clinical profiles. Participants will then be randomized to either the 4-week T-MD or control arm. The T-MD group will receive targeted interventions that correspond to the patient's clinical profile (s) and the control group will receive behavioral management strategies. Primary outcomes for this study are changes from enrollment to post-intervention on the Neurobehavioral Symptom Inventory (NSI), Patient Global Impression of Change (PGIC), and functional near-infrared spectroscopy (fNIRS). Time to return to activity (RTA), and healthcare utilization costs will also be assessed. Discussion: Study findings may inform a more effective approach to treat complex mTBI in military personnel and civilians, reduce morbidity, and accelerate safe return-to-duty/activity. Ethics and dissemination: The study is approved by the University of Pittsburgh Institutional Review board and registered at clinicaltrials.gov. Dissemination plans include peer-reviewed publications and presentations at professional meetings. Clinical Trial Registration: www.clinicaltrials.gov, identifier: NCT04549532.

Evidence for a multidomain clinical assessment of mild traumatic brain injury in older adults.

BACKGROUND: There are few guidelines on the appropriate clinical tools to evaluate mTBI in older adults. OBJECTIVE: We aimed to investigate the utility of a multidomain assessment to differentiate older adults with mTBI from controls. METHODS: Participants included 68 older adults (37% male) aged 60-76 (M = 66.24, SD = 4.50) years. Thirty-four patients were diagnosed with a mTBI at a specialty mTBI clinic within 90 days of injury, and age- and sex-matched to 34 community controls. Participants completed the following assessments: Post-Concussion Symptom Scale (PCSS), Short Fall Efficacy Scale-International (Short FES-I), Generalized Anxiety Disorder-7 Item Scale (GAD-7), Geriatric Depression Scale-5 Item (GDS-5), Wide Range Achievement Test-Fourth Edition (WRAT-4) reading subtest, subtests of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), clock drawing, and Vestibular/Ocular Motor Screening for Concussion (VOMS). Independent-samples t-tests or chi-squared analyses were used to compare assessment results between groups. A logistic regression (LR) was conducted to determine which combination of assessments best identified the mTBI group from controls. RESULTS: The mTBI group endorsed significantly more symptoms of concussion (p < .001), balance concerns (p < .001), anxiety (p < .001), and depression (p = 0.04), and performed worse on cognitive (p < .001), vestibular (p < .001), and oculomotor (p = .004) screening relative to controls. The LR (p < .001; r2 = 0.90) correctly identified 98.5% of older adults and retained concussion (p = .01) and depression (p = .02) symptoms, and cognitive (p = .03) and vestibular (p = .04) screening in the final model. DISCUSSION: The current findings support a multidomain assessment model of care for evaluating mTBI in older adults.

Association of Multidomain Assessment Outcomes With Referral for Vestibular Therapy After Concussion.

CONTEXT: Multiple aspects of a multidomain assessment have been validated for identifying concussion; however, researchers have yet to determine which components are related to referral for vestibular therapy. OBJECTIVE: To identify which variables from a multidomain assessment were associated with receiving a referral for vestibular therapy after a concussion. DESIGN: Retrospective chart review, level of evidence 3. PATIENTS OR OTHER PARTICIPANTS: Participants (n = 331; age = 16.9 ± 7.2 years; 39.3% female) were diagnosed with a concussion per international consensus criteria by a clinical neuropsychologist after presenting to a concussion specialty clinic. MAIN OUTCOME MEASURE(S): Medical chart data were extracted from the first clinical visit regarding preinjury medical history, computerized neurocognition, Post-Concussion Symptom Scale, Concussion Clinical Profiles Screen, and Vestibular Ocular Motor Screening within 16.2 ± 46.7 days of injury. We built 5 backwards logistic regression models to associate the outcomes from each of the 5 assessments with referral for vestibular therapy. A final logistic regression model was generated using variables retained in the previous 5 models as potential predictors of referral for vestibular therapy. RESULTS: The 5 models built from individual components of the multidomain assessment predicted referral for vestibular therapy (R2 = 0.01-0.28) with 1 to 6 statistically significant variables. The final multivariate model (R2 = 0.40) retained 9 significant variables, represented by each of the 5 multidomain assessments except neurocognition. Variables that had the strongest association with vestibular therapy referral were motor vehicle accident mechanism of injury (odds ratio [OR] = 15.45), migraine history (OR = 3.25), increased headache when concentrating (OR = 1.81), and horizontal vestibular ocular reflex (OR = 1.63). CONCLUSIONS: We demonstrated the utility of a multidomain assessment and identified outcomes associated with a referral for vestibular therapy after a concussion.

The Vestibular/Ocular Motor Screening-Child (VOMS-C) tool for concussion evaluation in 5- to 9-year-old pediatric patients: preliminary evidence.

OBJECTIVE: Vestibular and ocular motor dysfunction occurs in an estimated 60%-90% of concussion patients. The Vestibular/Ocular Motor Screening (VOMS) tool is validated for use in concussion patients older than 9 years. The goal of the current study was to adapt the current VOMS tool for a pediatric sample of children aged 5-9 years and establish its clinical utility in this patient population. METHODS: In this case-control study, 80 symptomatic concussion patients (n = 33 [41%] female) aged 5-9 years (mean age 7.40 ± 1.09 years) and 40 (n = 18 [45%] female) age- and sex-matched uninjured controls (mean age 7.10 ± 1.26 years) completed the VOMS-Child (VOMS-C), a version of the VOMS adapted for younger patients. Differences in binary "yes" or "no" symptom provocation for headache, dizziness, and nausea/"tummy ache" across the 7 items of the VOMS-C, and near point of convergence (NPC) distance, were examined. Logistic regression (LR) models were built to classify concussion and controls. Predicted probabilities were generated from the LR model and entered into receiver operating characteristic (ROC) curve models to generate area under the curve (AUC) values. RESULTS: VOMS-C item provocation ranged from 13% to 30% for concussed patients and 3% to 20% for controls. The LR model distinguished concussed participants from controls (R2 = 0.39; p < 0.001), with significant predictors being smooth pursuits, family depression history, and NPC distance. The ROC analysis had an AUC of 0.81 (95% CI 0.73-0.89; p < 0.001) in the good range. CONCLUSIONS: Accurate diagnosis of concussion in the clinic setting requires comprehensive evaluation in multiple domains, including detailed clinical interview, neurocognitive testing, and vestibular/ocular motor assessment, regardless of patient age. Our results provide preliminary support for the VOMS-C as a developmentally appropriate tool for concussion management.

False-Positive Rates and Associated Risk Factors on the Vestibular-Ocular Motor Screening and Modified Balance Error Scoring System in US Military Personnel.

CONTEXT: In 2018, the US military developed the Military Acute Concussion Evaluation-2 (MACE-2) to inform the acute evaluation of mild traumatic brain injury (mTBI). However, researchers have yet to investigate false-positive rates for components of the MACE-2, including the Vestibular-Ocular Motor Screening (VOMS) and modified Balance Error Scoring System (mBESS), in military personnel. OBJECTIVE: To examine factors associated with false-positive results on the VOMS and mBESS in US Army Special Operations Command (USASOC) personnel. DESIGN: Cross-sectional study. SETTING: Military medical clinic. PATIENTS OR OTHER PARTICIPANTS: A total of 416 healthy USASOC personnel completed the medical history, VOMS, and mBESS evaluations. MAIN OUTCOME MEASURE(S): False-positive rates for the VOMS (≥2 on VOMS symptom items, >5 cm for near point of convergence [NPC] distance) and mBESS (total score >4) were determined using χ2 analyses and independent-samples t tests. Multivariable logistic regressions (LRs) with adjusted odds ratios (aORs) were performed to identify risk factors for false-positive results on the VOMS and mBESS. The VOMS item false-positive rates ranged from 10.6% (smooth pursuits) to 17.5% (NPC). The mBESS total score false-positive rate was 36.5%. RESULTS: The multivariable LR model supported 3 significant predictors of VOMS false-positives, age (aOR = 1.07; 95% CI = 1.02, 1.12; P = .007), migraine history (aOR = 2.49; 95% CI = 1.29, 4.81; P = .007), and motion sickness history (aOR = 2.46; 95% CI = 1.34, 4.50; P = .004). Only a history of motion sickness was a significant predictor of mBESS false-positive findings (aOR = 2.34; 95% CI = 1.34, 4.05; P = .002). CONCLUSIONS: False-positive rates across VOMS items were low and associated with age and a history of mTBI, migraine, or motion sickness. False-positive results for the mBESS total score were higher (36.5%) and associated only with a history of motion sickness. These risk factors for false-positive findings should be considered when administering and interpreting VOMS and mBESS components of the MACE-2 in this population.

Characteristics of concussion subtypes from a multidomain assessment.

OBJECTIVE: The aim of this study was to analyze the best combination of clinical variables associated with concussion subtypes using a multidomain assessment comprising medical history; symptoms; and cognitive, ocular, and vestibular impairment in a cohort of patients presenting to a concussion specialty clinic. METHODS: Adolescent patients (n = 293) completed demographics and medical history, Concussion Clinical Profiles Screening, Immediate Post-Concussion Assessment and Cognitive Testing, and vestibular ocular motor screening at their first visit (mean 7.6 ± 7.8 days postinjury) to a concussion specialty clinic. Each participant was adjudicated to have one or more subtype (anxiety/mood, cognitive, migraine, ocular, and vestibular) by a healthcare professional based on previously published criteria. A series of backward, stepwise logistic regressions were used to identify significant predictors of concussion subtypes, and predictive probabilities from the logistic regression models were entered into area under the receiver operating characteristic curve (AUC) models. RESULTS: Each of 5 logistic regression models predicting primary subtypes accounted for 28%-50% of the variance (R2 = 0.28-0.50, p < 0.001) and included 2-8 significant predictors per model. Each of the models significantly differentiated the primary subtype from all other subtypes (AUC = 0.76-0.94, p < 0.001). CONCLUSIONS: These findings suggest that each concussion subtype can be identified using specific outcomes from a multidomain assessment. Clinicians can employ such an approach to better identify and monitor recovery from subtypes as well as guide interventions.

The Dynamic Exertion Test for Sport-Related Concussion: A Comparison of Athletes at Return-to-Play and Healthy Controls.

PURPOSE: To describe the Dynamic Exertion Test (EXiT) by comparing physiological, performance, and clinical outcomes between athletes medically cleared following sport-related concussion (SRC) and healthy controls. METHODS: One hundred four (female = 41, 39.4%) participants (14-21 y of age) including 52 medically cleared for return to play at 21.48 (15.40) days following SRC and 52 healthy athletes completed the EXiT involving (1) 12-minute aerobic component and (2) 18-minute dynamic component including 2 functional movement and 5 change-of-direction (COD) tasks. Physiological (heart rate and blood pressure), clinical (endorsed symptoms and rating of perceived exertion), and performance (COD-task completion time and errors) outcomes were collected throughout EXiT. Participants also completed the Postconcussion Symptom Scale and vestibular/ocular motor screening before EXiT. Independent-samples t tests were used to compare groups on resting heart rate and blood pressure, COD-task completion time, and Mann-Whitney U tests on Postconcussion Symptom Scale, vestibular/ocular motor screening, and EXiT symptoms, rating of perceived exertion, and errors. RESULTS: COD-task completion time and resting systolic blood pressure and heart rate were similar between groups (P > .05). SRC reported greater rating of perceived exertion during the aerobic component (P < .05) and lower total dizziness (P = .003) and total symptoms (P = .021) during EXiT and had lower near point of convergence distance (P < .001) and total symptoms (P = .007) for vestibular/ocular motor screening than healthy athletes. CONCLUSION: Physiological, performance, and clinical EXiT outcomes were equivocal between athletes at medical clearance following SRC and healthy controls. The multidomain EXiT may help to inform safe return-to-play decision making post-SRC.

Utility of VOMS, SCAT3, and ImPACT Baseline Evaluations for Acute Concussion Identification in Collegiate Athletes: Findings From the NCAA-DoD Concussion Assessment, Research and Education (CARE) Consortium.

BACKGROUND: The Vestibular/Ocular-Motor Screening (VOMS) is a valuable component of acute (<72 hours) sports-related concussion (SRC) assessments and is increasingly used with the Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) instrument and the third edition of the Sport Concussion Assessment Tool (SCAT3). Research has suggested that VOMS acute postinjury scores are useful in identifying acute concussion. However, the utility of preseason baseline measurements to improve diagnostic accuracy remains ambiguous. To this end, there is a need to determine how reliable VOMS baseline assessments are across years and whether incorporating individuals' baseline performance improves diagnostic yield for acute concussions. PURPOSE: To analyze VOMS, SCAT3, and ImPACT to evaluate the test-retest reliability of consecutive-year preseason baseline assessments to directly compare the diagnostic utility of these tools when incorporating baseline assessments versus using postinjury data alone to identify acute SRC. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 2. METHODS: Preseason and postinjury VOMS, SCAT3, ImPACT Post-Concussion Symptom Scale (PCSS), and ImPACT composite scores were analyzed for 3958 preseason (47.7% female) and 496 acute (≤48 hours) SRC (37.5% female) collegiate athlete evaluations in the National Collegiate Athletic Association-Department of Defense Concussion Assessment Research and Education Consortium. Descriptive statistics, Kolmogorov-Smirnov significance, and Cohen d effect size were calculated. Consecutive-year baseline reliability was evaluated for a subset of 447 athlete encounters using Pearson r, Cohen κ, Cohen d, and 2-way mixed intraclass correlation coefficients (ICCs). Wilcoxon signed rank tests were used to determine the statistical significance between population performances, and the 90% reliable change index (RCI) was calculated from the test-retest results. Preseason to postinjury change scores were then calculated from each tool's RCI. Finally, receiver operating characteristic (ROC) curve analyses were conducted, and DeLong method was used to compare the area under the curve (AUC) of raw postinjury scores versus change scores from preseason baseline assessments. Potential effects of sex, medical history (learning disorders or attention-deficit/hyperactivity disorder), and outlier data were also explored. RESULTS: Effect sizes were large, and overall predictive utilities were clinically useful for postinjury VOMS Total (d = 2.44; AUC = 0.85), the SCAT3 Symptom Evaluation total severity score (d = 1.74; AUC = 0.82), and the ImPACT PCSS total severity score (d = 1.67; AUC = 0.80). Comparatively, effect sizes were small and predictive utilities were poor for Standardized Assessment of Concussion (SAC), modified Balance Error Scoring System (mBESS), and all ImPACT composites (d = 0.11-0.46; AUC = 0.48-0.59). Preseason baseline test-retest reliability was poor to moderate (r = 0.23-0.52; κ = 0.32-0.36; ICC = 0.36-0.68) for all assessments except ImPACT Visual Motion Sensitivity (r = 0.73; ICC = 0.85). Incorporating baseline scores for VOMS Total, SCAT3 (Symptom Evaluation, SAC, mBESS), ImPACT PCSS, or ImPACT composites did not significantly improve AUCs. CONCLUSION: VOMS Total and symptom severity (SCAT3, PCSS) total scores had large effect sizes and clinically useful AUCs for identifying acute concussion. However, all tools demonstrated high within-patient test-retest variability, resulting in poor reliability. The findings in this sample of collegiate athletes suggest that incorporating baseline assessments does not significantly increase diagnostic yield for acute concussion.

Association of sleep symptoms with mood and vestibular subtypes following sport-related concussion.

Sport-related concussion (SRC) is a heterogenous injury with diverse symptoms and impairments that can be aggregated into clinical subtypes (cognitive, headache/migraine, vestibular, ocular-motor, anxiety/mood). Sleep disruption has been defined as potential exacerbating conditions that may accompany the five clinical subtypes. The authors sought to better characterize the role of impaired sleep in each clinical subtype and to identify other risk factors for sleep impairment after SRC. 281 patients (15.3 ± 2.1 years) aged 10-22 years within 21 days of SRC completed the Post-Concussion Symptom Scale (PCSS), the Vestibular/Ocular Motor Screening (VOMS), and a clinical assessment to identify clinical subtype. Subjects were then divided into HIGH (≥7; n = 82) and LOW (≤3; n = 132) sleep symptom groups for comparison. HIGH participants had greater proportions of females (p < 0.001), history of psychiatric disorder (p < 0.001); total PCSS (p < 0.001); and impairment on all VOMS items (p < 0.001). HIGH participants were associated with mood/anxiety (p < 0.001), vestibular (p = 0.003) and ocular (p = 0.03) subtypes. Results of a logistic regression (LR) model with adjusted odds ratios (OR) to predict HIGH sleep symptoms supported anxiety/mood profile (OR = 2.98), vestibular profile (OR = 2.81), psychiatric history (OR = 4.99), and history of motion sickness (OR = 2.13) as significant predictors. Prescribing behavioral and sleep interventions may improve outcomes in cases where these factors co-occur.

Concurrent validity of the Vestibular/Ocular Motor Screening (VOMS) tool with the Dizziness Handicap Inventory (DHI) among adolescents with vestibular symptoms/impairment following concussion.

OBJECTIVE: To determine whether the Vestibular/Ocular Motor Screening (VOMS) tool demonstrates concurrent validity with the Dizziness Handicap Inventory (DHI) in a sample of concussed athletes referred for vestibular therapy and whether DHI items were predictive of VOMS outcomes. DESIGN: Cross-sectional cohort study. SETTING: Concussion specialty/vestibular therapy clinic. METHODS: Adolescents (n = 55; 15.4 ± 1.6 years) with diagnosed sport-related concussion (SRC) with vestibular symptoms and/or impairment between October 2018-February 2020. Patients completed VOMS and DHI at initial visit. Seven individual VOMS and twenty-five DHI items, VOMS and DHI total score and three DHI sub-scales, were compared with Spearman correlations. Three backwards linear regression (LR) models were built to predict 1. VOMS vestibular symptoms, 2. VOMS ocular symptoms, and 3. near-point of convergence-distance (NPC-distance) using individual DHI items as predictors. RESULTS: Spearman correlations (p) identified DHI items with moderate to strong associations for VOMS items. DHI sub-scales demonstrated moderate-to-strong correlations with VOMS items (p = 0.30-0.59). Total DHI score demonstrated a moderate-to-strong association with HSAC (p = 0.30), VSAC (p = 0.32), and SP (p = 0.61). Results from the LRs predicting VOMS ocular symptoms (R (Alsalaheen et al., 2010) = 0.56; p < 0.001), and VOMS vestibular symptoms (R (Alsalaheen et al., 2010) = 0.23; p = 0.01), and NPC-distance (R (Alsalaheen et al., 2010) = 0.56; p < 0.001) included significant DHI predictors. CONCLUSIONS: There was moderate-to-strong associations between VOMS and 56% of DHI items (i.e., p > 0.30).

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

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.

Minimum detectable change and false positive rates of the vestibular/ocular motor screening (VOMS) tool: an NCAA-DoD care consortium analysis.

OBJECTIVE: To derive minimum detectable change (MDC) across individual Vestibular-Ocular Motor Screening (VOMS) items and VOMS overall score in 17-25 years old collegiate athletes and to examine false positive rates. METHOD: Participants (n = 378) completed VOMS pre-season for two consecutive years. MDC was identified for individual VOMS symptom items and NPC distance (cm). Both total and change methods of VOMS scoring were included in analysis. RESULTS: Regarding total scoring, MDC for ocular VOMS symptom items was 1 and MDC for vestibular VOMS symptoms items was 2. MDC for NPC was 4 cm and for VOMS overall score was 10. Regarding change scoring, MDC for each VOMS symptom item was 1, and for VOMS overall score was 8. False positives ranged from 5.3% to 15.9%. CONCLUSIONS: This study presents MDCs for each VOMS item and overall VOMS score, using total and change scoring. These values can be considered true change outside measurement error with 95% confidence in a 17-25 year old collegiate athlete population.

A Randomized Controlled Trial of Precision Vestibular Rehabilitation in Adolescents following Concussion: Preliminary Findings.

OBJECTIVE: To compare the effectiveness of a 4-week precision vestibular rehabilitation intervention compared with a behavioral management control intervention for adolescents with vestibular symptoms/impairment within 21 days of a concussion. STUDY DESIGN: This study used double-blind, randomized controlled trial design involving adolescent (12-18 years) patients with a diagnosed sport/recreation-related concussion with vestibular symptoms/impairment from a concussion-specialty clinic between October 2018 and February 2020. Eligible participants were randomized in a 1:1 to either a 4-week vestibular intervention group (VESTIB) or a behavioral management control group (CONTROL). CONTROLS (n = 25) were prescribed behavioral management strategies (eg, physical activity, sleep, hydration, nutrition, stress management) and instructed to perform stretching/physical activity (eg, walking, stationary cycle) 30 minutes/day. VESTIB (n = 25) were prescribed precision vestibular rehabilitation exercises and instructed to perform at-home exercises for 30 minutes/day. Primary outcomes were improvement in Vestibular/Ocular Motor Screening vestibular items (ie, horizontal/vertical vestibular-ocular reflex, visual motion sensitivity) at 4 weeks postenrollment. RESULTS: We screened 310 and enrolled a total of 55 (18%) adolescent patients who were randomized to one of the interventions. Fifty of fifty-five (91%) participants completed all aspects of the study protocol. Participants in VESTIB improved significantly across the intervention period in horizontal (mean difference-1.628; 95% CI [-3.20, -0.06]; P = .04) and vertical (mean difference-2.24; 95% CI [-4.01, -0.48]; P = .01) vestibular-ocular reflex, but not visual motion sensitivity (mean difference-2.03; 95% CI [-4.26, 0.19]) of the Vestibular/Ocular Motor Screening score compared with CONTROLS. CONCLUSIONS: Overall, the vestibular intervention group experienced greater clinical improvements in vestibular symptoms/impairment than controls across the 4-week intervention. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03555370.

Targeted Intervention Improves Symptoms and Impairments in Patients With Mild Traumatic Brain Injury With Chronic Symptom: A Prospective, Multiple Interventional Research Trial.

BACKGROUND: Mild traumatic brain injury (mTBI) and its potential long-term consequences is a primary concern for the US military. The purpose of the study is to evaluate if participants improved in anxiety/mood symptoms, sleep quality, and vestibular/ocular symptoms following a 6-month active intervention, and to explore the effect of targeted treatment for those with specific symptoms/impairments (e.g., psychological, sleep, ocular, vestibular). MATERIALS AND METHODS: A multidisciplinary clinical team adjudicated participants (n=72, 35.8±8.6 years old, 19% female) to have one of the following primary clinical trajectories: psychological (PSYCH; n=34), sleep (SLEEP; n=25) and vestibular/ocular (VESTIB/OCULAR; n=18). Participants returned for follow-up assessment 6 months later. Assessments included the Post-Concussion Symptom Scale [PCSS], Generalized Anxiety Disorder-7 [GAD-7], Pittsburgh Sleep Quality Index [PSQI], and Dizziness Handicap Inventory [DHI]. Change in concussion symptoms and primary outcome for the given trajectory (i.e., PSYCH=GAD-7, SLEEP=PSQI, VESTIB/OCULAR=DHI) was assessed. RESULTS: Following the 6-month intervention, participants reduced PCSS Score (-14.5±2.4; p<.001; η2=0.34), GAD-7 (-3.1±0.5; p<.001; η2=0.34), PSQI (-2.7±0.5; p<.001; η2=0.34) and DHI (-9.2±2.0; p<.001; η2=0.23). PSYCH (n=34) reduced PCSS score (-17.9±3.6; p<.001; η2=0.45) and GAD-7 (-3.1±0.7; p<.001; η2=0.38). SLEEP (n=25) reduced PCSS score (-8.8±4.4; p=.06; η2=0.15) and PSQI (-3.6±0.9; p<.001; η2=0.45) scores. VESTIB/OCULAR (n=18) reduced PCSS score (-16.7±4.8; p=.03; η2=0.45), and DHI (-15.7±5.5; p=.012; η2=0.35). CONCLUSIONS: Large effects were observed for concussion, anxiety, sleep, and dizziness symptom reduction over 6-month treatment. Each primary outcome demonstrated a larger treatment effect for the given trajectory than the overall sample, indicating that targeted treatment can reduce symptom burden in patients with mTBI with chronic symptoms.

Discriminative Validity of Vestibular Ocular Motor Screening in Identifying Concussion Among Collegiate Athletes: A National Collegiate Athletic Association-Department of Defense Concussion Assessment, Research, and Education Consortium Study.

BACKGROUND: Vestibular and ocular motor screening tools, such as the Vestibular/Ocular Motor Screening (VOMS), are recognized as important components of a multifaceted evaluation of sport-related concussion. Previous research has supported the predictive utility of the VOMS in identifying concussion, but researchers have yet to examine the predictive utility of the VOMS among collegiate athletes in the first few days after injury. PURPOSE: To determine the discriminative validity of individual VOMS item scores and an overall VOMS score for identifying collegiate athletes with an acute sport-related concussion (≤72 hours) from healthy controls matched by age, sex, and concussion history. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: Participants (N = 570) aged 17 to 25 years were included from 8 institutions of the National Collegiate Athletic Association-Department of Defense CARE Consortium (Concussion Assessment, Research, and Education): 285 athletes who were concussed (per current consensus guidelines) and 285 healthy controls matched by age, sex, and concussion history. Participants completed the VOMS within 3 days of injury (concussion) or during preseason (ie, baseline; control). Symptoms are totaled for each VOMS item for an item score (maximum, 40) and totaled across items for an overall score (maximum, 280), and distance (centimeters) for near point of convergence (NPC) is averaged across 3 trials. Receiver operating characteristic analysis of the area under the curve (AUC) was performed on cutoff scores using Youden index (J) for each VOMS item, overall VOMS score, and NPC distance average. A logistic regression was conducted to identify which VOMS scores identified concussed status. RESULTS: A symptom score ≥1 on each VOMS item and horizontal vestibular/ocular reflex ≥2 significantly discriminated concussion from control (AUC, 0.89-0.90). NPC distance did not significantly identify concussion from control (AUC, 0.51). The VOMS overall score had the highest accuracy (AUC, 0.91) for identifying sport-related concussion from control. Among the individual items, vertical saccades ≥1 and horizontal vestibular/ocular reflex ≥2 best discriminated concussion from control. CONCLUSION: The findings indicate that individual VOMS items and overall VOMS scores are useful in identifying concussion in collegiate athletes within 3 days of injury. Clinicians can use the cutoffs from this study to help identify concussion in collegiate athletes.

Predictive Accuracy of the Sport Concussion Assessment Tool 3 and Vestibular/Ocular-Motor Screening, Individually and In Combination: A National Collegiate Athletic Association-Department of Defense Concussion Assessment, Research and Education Consortium Analysis.

BACKGROUND: Vestibular and ocular symptoms in sport-related concussions are common. The Vestibular/Ocular-Motor Screening (VOMS) tool is a rapid, free, pen-and-paper tool that directly assesses these symptoms and shows consistent utility in concussion identification, prognosis, and management. However, a VOMS validation study in the acute concussion period of a large sample is lacking. PURPOSE: To examine VOMS validity among collegiate student-athletes, concussed and nonconcussed, from the multisite National Collegiate Athletic Association-Department of Defense Concussion Assessment, Research and Education (CARE) Consortium. A secondary aim was to utilize multidimensional machine learning pattern classifiers to deduce the additive power of the VOMS in relation to components of the Sport Concussion Assessment Tool 3 (SCAT3). STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 3. METHODS: Preseason and acute concussion assessments were analyzed for 419 student-athletes. Variables in the analysis included the VOMS, Balance Error Scoring System, Standardized Assessment of Concussion, and SCAT3 symptom evaluation score. Descriptive statistics were calculated for all tools, including Kolmogorov-Smirnov significance and Cohen d effect size. Correlations between tools were analyzed with Spearman r, and predictive accuracy was evaluated through an Ada Boosted Tree machine learning model's generated receiver operating characteristic curves. RESULTS: Total VOMS scores and SCAT3 symptom scores demonstrated significant increases in the acute concussion time frame (Cohen d = 1.23 and 1.06; P < .0001), whereas the Balance Error Scoring System lacked clinical significance (Cohen d = 0.17). Incorporation of VOMS into the full SCAT3 significantly boosted overall diagnostic ability by 4.4% to an area under the curve of 0.848 (P < .0001) and produced a 9% improvement in test sensitivity over the existing SCAT3 battery. CONCLUSION: The results from this study highlight the relevance of the vestibular and oculomotor systems to concussion and the utility of the VOMS tool. Given the 3.8 million sports-related and 45,121 military-related concussions per year, the addition of VOMS to the SCAT3 is poised to identify up to an additional 304,000 athletes and 3610 servicemembers annually who are concussed, thereby improving concussion assessment and diagnostic rates. Health care providers should consider the addition of VOMS to their concussion assessment toolkits, as its use can positively affect assessment and management of concussions, which may ultimately improve outcomes for this complex and common injury.

Test Order Does Not Affect Vestibular/Ocular Motor Screening Item Scores in High School Athletes.

OBJECTIVE: To compare VOMS item scores between a fixed and randomized administration order in a sample of nonconcussed high school athletes. DESIGN: Post-test only, quasi-experimental design. SETTING: Local high schools in a mid-west region of the United States. PATIENTS: Fifty nonconcussed high school athletes (M = 15.64; SD = 1.12 years) completed the VOMS in a randomized testing order (RANDOM), and 49 (M = 15.64; SD = 1.12 years) completed the VOMS in the fixed testing order (FIXED). The groups were matched on age, sex, learning disorder, attention-deficit/hyperactivity disorder, concussion history, and baseline concussion symptoms. INTERVENTIONS: The Vestibular/Ocular Motor Screening (VOMS) tool comprises pretest symptoms, smooth pursuit (SP), horizontal/vertical saccade (HSAC/VSAC), average near-point of convergence (NPC) distance, convergence symptoms, horizontal/vertical vestibular ocular reflex (HVOR/VVOR), and visual motion sensitivity (VMS). MAIN OUTCOME MEASURES: Mann-Whitney U tests were performed to examine differences between FIXED and RANDOM groups on VOMS items. RANDOM scores were rearranged in order of administration and combined with the FIXED group scores, and a Freidman test was performed for repeated measures. RESULTS: There were no significant differences between FIXED and RANDOM groups on VOMS pretest symptoms (U = 1171, P = 0.57), SP (U = 1122.5, P = 0.35), HSAC (U = 1128.5, P = 0.44), VSAC (U = 1055.5, P = 0.16), convergence symptoms (U = 1129.0, P = 0.41), average NPC distance (U = 979.0, P = 0.06), HVOR (U = 1085.0, P = 0.25), VVOR (U = 1126.0, P = 0.41), and VMS scores (U = 1101.0, P = 0.32). When VOMS items were rearranged and the sample was combined, there were no differences for repeated measures [χ2 (6) = 9.92, P = 0.13]. CONCLUSIONS: There were no significant differences on VOMS items between FIXED and RANDOM groups for repeated measures. The testing order of VOMS items does not affect VOMS scores in nonconcussed high school athletes.