BACKGROUND Current concussion symptom inventories emphasize total number or symptoms and severity and overlap with other conditions, such as mental health disorders, which may limit their specificity and clinical utility. OBJECTIVE To develop and test the reliability and validity of a new Concussion Clinical Profiles Screening tool (CP Screen) in both healthy controls and concussed. METHODS CP Screen is a 29-item self-report, clinical profile-based symptom inventory that measures the following 5 concussion clinical profiles: 1) anxiety/mood, 2) cognitive/fatigue, 3) migraine, 4) ocular, and 5) vestibular; and the following 2 modifying factors: 1) sleep and 2) neck. Post-Concussion Symptom Scale (PCSS), vestibular/ocular motor screening (VOMS) tool, and Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) were conducted. CP Screen was administered in community a concussion surveillance program and 2 sports medicine concussion clinics. Responses include 248 athletes, 121 concussed, and 127 controls, enrolled between 2018 and 2019. RESULTS Internal consistency of the CP Screen in the control (Cronbach's alpha = .87) and concussed (Cronbach's alpha = .93) samples was high. Moderate to high correlations among the CP Screen factors and PCSS factors and VOMS items, supporting concurrent validity. ROC curve analysis for identifying concussed from controls was significant (P < .001) for all CP Screen factor and modifier scores with excellent AUCs for migraine (.93), ocular (.88), vestibular (.85), and cognitive (.81) factors, demonstrating predictive validity. CONCLUSION The CP Screen demonstrated strong reliability, concurrent validity with commonly used concussion assessment (ie, PCSS, VOMS, and ImPACT), and predictive validity for identifying concussion. The CP Screen extends current symptom inventories by evaluating more specific symptoms that may reflect clinical profiles and inform better clinical care.

Traditional deep brain stimulation requires intraoperative neurophysiological confirmation of electrode placement. Recently, purely image guided methods are being evaluated as to their clinical efficacy in comparison to surgery using microelectrode recordings. We used the ClearPoint(®) system to place electrodes in both the subthalamic nucleus and globus pallidus internus in patients with advanced Parkinson's disease. Off medication UPDRS scores were assessed before and 1 year after surgery as well as pre- and 1 year post-operative neuropsychological outcomes. Targeting precision was also assessed. Patients implanted in the subthalamic nucleus improved by 46.2 % in their UPDRS scores post-operatively (p = 0.03) whereas the globus pallidus group improved by 41 % (p = 0.06). There were no significant adverse neuropsychological outcomes in either group of patients. Mean radial error for the STN group was 1.2 ± 0.7 mm and for the GPi group 0.8 mm ± 0.3 mm. Image guided DBS using the ClearPoint(®)system has high targeting precision with robust clinical outcomes. Our data are in accord with recent studies using the same or similar technologies and provide a rationale for a large comparative study of image-guided versus microelectrode guided DBS.

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Background: Symptom reporting with scales such as the Post-Concussion Symptom Scale (PCSS) is one of the most sensitive markers of concussed status and/or recovery time, It is known that time from injury until initial clinic visit affects symptom presentation and recovery outcomes, but no study to date has evaluated changes in clinical cutoff scores for the PCSS based on earlier versus later clinical presentation postconcussion. Purpose: To evaluate if time since injury after sports-related concussion (SRC) affects clinical cutoff scores for total PCSS and PCSS factors in differentiating athletes with SRC from healthy controls and predicting prolonged recovery (>30 days) after SRC. Study Design: Cohort study; Level of evidence, 3. Methods: A chart review was conducted of clinical data from patients with SRC (age, 13-25 years; n = 588; female, n = 299) who presented to concussion specialty clinics. Participants were categorized on the basis of time from injury: early (≤7 days; n = 348) and late (8-21 days; n = 240). Outcomes were total symptom severity (ie, total PCSS score) and total score for each of 4 symptom factors (cognitive/migraine/fatigue [CMF], affective, sleep, and somatic). Area under the curve (AUC) analyses were conducted using the Youden index to optimize sensitivity and specificity cutoffs. Results: In the early group, the CMF factor (cutoff, ≥7; AUC = 0.944), affective factor (cutoff, ≥1; AUC = 0.614), and total PCSS (cutoff, ≥7; AUC = 0.889) differentiated athletes with SRC from controls. In the late group, the CMF factor cutoff was reduced (cutoff, ≥4; AUC = 0.945), while the total PCSS score (cutoff, ≥7; AUC = 0.892), affective factor (cutoff, ≥1; AUC = 0.603), and sleep factor (cutoff, ≥1; AUC = 0.609) remained the same. In the early cohort, the CMF factor was the strongest predictor of protracted recovery (cutoff, ≥23; AUC = 0.717), followed by the total PCSS (cutoff, ≥39; AUC = 0.695) and affective factor (cutoff, ≥2; AUC = 0.614). The affective factor (cutoff, ≥1; AUC = 0.642) and total PCSS (cutoff, ≥35; AUC = 0.592) were significant predictors in the late cohort, but the cutoff threshold was reduced. Conclusion: The findings indicate that PCSS symptom clinical cutoffs for identifying injury and recovery prognosis change on the basis of time since injury. Specifically, the combination of CMF, affective, and sleep factors is the best differentiator of athletes with SRC from controls regardless of time since injury. Furthermore, the CMF factor is the most robust predictor of prolonged recovery if the patient is within 1 week of SRC, whereas the affective factor is the most robust predictor of prolonged recovery if the patient is within 2 to 3 weeks of SRC.

A growing body of research suggests there are important relationships among spirituality, certain personality traits, and health (organismic) resilience. In the present study, 83 college students from two southeastern universities completed a demographic questionnaire, the NEO Five Factor Inventory, and the Resilience Questionnaire. The Organismic resilience and Relationship with something greater subscales of the Resilience Questionnaire were used for analyses. Health resilience was associated with four of the Big Five personality variables and the spirituality score. Health resilience was positively correlated with ratings of extraversion, agreeableness, conscientiousness, and spirituality and negatively correlated with neuroticism. Forty-three percent of the variance of the health resilience score was accounted for by two of the predictor variables: spirituality and neuroticism. These findings are consistent with the literature and provide further support for the idea that spirituality and health protective personality characteristics are related to and may promote better health resilience.

The coronavirus disease 2019 (COVID-19) pandemic has substantially altered the delivery of healthcare for providers and their patients. Patients have been reticent to seek care for many diseases and injuries including concussion due to fears of potential exposure to COVID-19. Moreover, because of social distancing recommendations and stay-at-home orders, patient screening, evaluation, and delivery of care have become less efficient or impossible to perform via in-person clinic visits. Consequently, there was a sudden need to shift healthcare delivery from primarily in-person visits to telehealth. This sudden shift in healthcare delivery brings with it both challenges and opportunities for clinical concussion care. This article is designed to discuss these challenges and opportunities and provide an experiential-based framework for providing concussion care via telehealth. We first provide an overview of a clinical concussion model utilized at concussion specialty clinics from 3 geographically disparate healthcare systems for in-person service delivery prior to COVID-19. We then discuss the creation of new clinical workflows to facilitate the continued provision of concussion specialty care using telehealth. Finally, we examine lessons learned during this healthcare delivery shift including limitations and potential barriers for telehealth for concussion care, as well as opportunities for expansion of concussion care in rural and underserved areas. We also discuss the need to empirically evaluate the comparative efficacy of telehealth and in-person concussion care moving forward.

Objective:To investigate the association between risk factors and vestibular–oculomotor outcomes after sport-related concussion (SRC).Study Design:Cross-sectional study of patients seen 5.7 ± 5.4 days (range 0-30 days) after injury.Setting:Specialty clinic.Participants:Eighty-five athletes (50 male athletes and 35 female athletes) aged 14.1 ± 2.8 years (range 9-24 years) seeking clinical care for SRC.Interventions:Participants completed a clinical interview, history questionnaire, symptom inventory, and vestibular/ocularmotor screening (VOMS). Chi-square tests with odds ratios and diagnostic accuracy were used to examine the association between risk factors and VOMS outcomes.Main Outcome Measures:The VOMS.Results:Female sex (χ2 = 4.9, P = 0.03), on-field dizziness (χ2 = 7.1, P = 0.008), fogginess (χ2 = 10.3, P = 0.001), and post-traumatic migraine (PTM) symptoms including headache (χ2 = 16.7, P = 0.001), nausea (χ2 = 10.9, P = 0.001), light sensitivity (χ2 = 14.9, P = 0.001), and noise sensitivity (χ2 = 8.7, P = 0.003) were associated with presence of one or more postconcussion VOMS score above clinical cutoff. On-field dizziness (χ2 = 3.8, P = 0.05), fogginess (χ2 = 7.9, P = 0.005), and PTM-like symptoms including nausea (χ2 = 9.0, P = 0.003) and noise sensitivity (χ2 = 7.2, P = 0.007) were associated with obtaining a postconcussion near-point convergence (NPC) distance cutoff >5 cm. The likelihood ratios were 5.93 and 5.14 for VOMS symptoms and NPC distance, respectively.Conclusions:Female sex, on-field dizziness, fogginess, and PTM symptoms were predictive of experiencing vestibular–oculomotor symptoms/impairment after SRC.