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1.
J Athl Train ; 58(5): 408-413, 2023 May 01.
Article in English | MEDLINE | ID: mdl-36094515

ABSTRACT

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.


Subject(s)
Athletic Injuries , Brain Concussion , Post-Concussion Syndrome , Humans , Female , Child , Adolescent , Young Adult , Adult , Male , Retrospective Studies , Athletic Injuries/diagnosis , Brain Concussion/diagnosis , Brain Concussion/therapy , Brain Concussion/complications , Post-Concussion Syndrome/diagnosis , Referral and Consultation
2.
Clin J Sport Med ; 31(5): e240-e244, 2021 09 01.
Article in English | MEDLINE | ID: mdl-31842048

ABSTRACT

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.


Subject(s)
Athletic Injuries , Brain Concussion , Diagnostic Techniques, Neurological , Adolescent , Athletes , Athletic Injuries/diagnosis , Brain Concussion/diagnosis , Humans , Schools
3.
J Pediatr ; 163(3): 717-20, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23751761

ABSTRACT

OBJECTIVE: To determine the risk of concussion among youth football players (ages 8-12 years). STUDY DESIGN: Participants included 468 male youth football players in western Pennsylvania during the 2011 youth football season. Incidence rates (IRs) and incidence density ratios (IDRs) of concussion were calculated for games and practices and for age groups. RESULTS: There was a total of 11,338 (8415 practice and 2923 game) athletic exposures (AEs) in the study period, during which 20 medically diagnosed concussions occurred. A majority of concussions were the result of head-to-head (45%) contact. The combined concussion IR for practices and games was 1.76 per 1000 AEs (95% CI 0.99-2.54). The concussion IR was 0.24 per 1000 AEs (95% CI 0.04-0.79) in practices and 6.16 per 1000 AEs (95% CI 3.76-9.54) in games. The IDR for concussions in games to practices was 25.91 (95% CI 6.01-111.70). The IDR of concussions for youth aged 11-12 years compared with youth aged 8-10 years was 2.72 (95% CI 0.66-4.78). CONCLUSIONS: The overall IR for concussion in youth football players aged 8-12 years was comparable with that reported previously for high school and collegiate samples. However, participation in games was associated with an increase in risk of concussion compared with practices, which was higher than rates previously reported for high school and collegiate athletes. Younger players were slightly less likely to incur a concussion than were older players.


Subject(s)
Brain Concussion/epidemiology , Football/injuries , Age Factors , Brain Concussion/etiology , Child , Humans , Incidence , Male , Pennsylvania/epidemiology , Prospective Studies , Risk Factors
4.
J Pediatr ; 163(3): 721-5, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23628374

ABSTRACT

OBJECTIVE: To identify predictors of prolonged symptoms in athletes who sustain concussions. STUDY DESIGN: This was a multicenter prospective cohort study of patients in 2 sport concussion clinics. Possible predictors of prolonged symptoms from concussion were compared in 2 groups, those whose symptoms resolved within 28 days and those whose symptoms persisted beyond 28 days. Candidate predictor variables were entered into a logistic regression model that was used to generate aORs. RESULTS: A total of 182 patients met the inclusion criteria during the study period. The mean patient age was 15.2 ± 3.04 years. More than one-third of the patients (n = 65) underwent computerized neurocognitive testing on their initial visit. On univariate analyses, Post-Concussion Symptom Scale (PCSS) score and all composite scores on computerized neurocognitive testing were apparently associated with prolonged symptom duration. Sex, age, loss of consciousness at time of injury, and amnesia at time of injury were not associated with prolonged symptom duration. After adjusting for potential confounding, only total PCSS score was associated with the odds of suffering prolonged symptoms. CONCLUSION: Further efforts to develop clinical tools for predicting which athletes will suffer prolonged recoveries after concussion should focus on initial symptom score.


Subject(s)
Athletic Injuries/diagnosis , Brain Concussion/diagnosis , Decision Support Techniques , Severity of Illness Index , Adolescent , Adult , Age Factors , Amnesia/etiology , Athletic Injuries/complications , Athletic Injuries/physiopathology , Brain Concussion/complications , Brain Concussion/physiopathology , Child , Female , Follow-Up Studies , Humans , Logistic Models , Male , Odds Ratio , Prognosis , Prospective Studies , Risk Factors , Time Factors , Young Adult
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