Symptom resolution following a repeat concussion within the same athlete.

INTRODUCTION: Repeat sport-related concussion (SRC) is anecdotally associated with prolonged recovery. Few studies have examined repeat concussion within the same athlete. We sought to explore differences in symptom burden and recovery outcomes in an individual athlete's initial and repeat SRC. METHODS: A retrospective within-subject cohort study of athletes aged 12-23 years diagnosed with two separate SRCs from 11/2017-10/2020 was conducted. Primary outcomes were initial symptom severity and time-to-symptom-resolution. Secondary outcomes included return-to-learn (RTL) and return-to-play (RTP) duration. RESULTS: Of 868 athletes seen, 47 athletes presented with repeat concussions. Median time between concussions was 244 days (IQR 136-395). Comparing initial to repeat concussion, no differences were observed in time-to-clinic (4.3 ± 7.3vs.3.7 ± 4.6 days, p = 0.56) or initial PCSS (26.2 ± 25.3 vs. 30.5 ± 24.1, p = 0.32). While a difference was observed in time-to-symptom resolution between initial/repeat concussion (21.2 ± 16.3 vs. 41.7 ± 86.0 days, p = 0.30), this did not reach statistical significance. No significant differences were observed in time-to-RTL (17.8 ± 60.6 vs. 6.0 ± 8.3 days, p = 0.26) and RTP (33.2 ± 44.1 vs. 29.4 ± 39.1 days, p = 0.75). Repeat concussion was not associated with symptom resolution on univariate (HR 1.64, 95% CI 0.96-2.78, p = 0.07) and multivariable (HR 0.85, 95% CI 0.49-1.46, p = 0.55) Cox regression. CONCLUSION: No significant differences in symptom duration and RTP/RTL were seen between initial/repeat concussion.

Predicting early versus late recovery from sport-related concussion using decision tree analysis.

OBJECTIVE: Accurately predicting early (≤ 14 days) versus typical (15-27 days) or delayed (≥ 28 days) recovery from sport-related concussion (SRC) may allow for improved resource utilization and precision in planning and carrying out rehabilitation. In this study, the authors sought to develop an algorithm that enables accurate differentiation of recovery periods and duration after SRC. The authors hypothesized that data regarding initial symptom burden as quantified by a Post-Concussion Symptom Scale (PCSS) score, time to presentation, and number of prior concussions would be the most useful for analyzing predictive factors for concussion recovery duration. METHODS: A retrospective case-control study was conducted to assess the primary outcome of days to clinical recovery following SRC in pediatric patients. Data from patients 12-18 years old presenting within 28 days of injury to an SRC clinic between November 11, 2017, and October 10, 2020, were analyzed. Patients with positive evidence of injury on head imaging or incomplete records were excluded. The primary outcome was duration of clinical recovery, grouped as early (≤ 14 days), typical (15-27 days), or delayed (≥ 28 days). Recovery was defined as follows: 1) symptom resolution or return to baseline, or 2) initiation of graduated return to play. CHAID (chi-square automatic interaction detection) analysis was used to optimize a decision tree based on 16 input factors, including age, sex, initial PCSS score, time to clinic presentation, number of prior concussions, and presence of defined symptom clusters. The cohort was randomized into training (70%) and test (30%) samples for algorithm validation. RESULTS: A total of 493 patients met the inclusion criteria (mean age 15.7 ± 1.5 years, 68.2% male, 70.0% White). The median time to presentation was 5 days (IQR 2-10 days). Most patients (52.3%) recovered within 14 days of injury, 21.5% recovered within 15-27 days, and 26.2% had a recovery period of 28 days or longer. The variables most predictive of recovery were initial PCSS score (cutoffs ≤ 6, 7-28, or ≥ 29), time to presentation (≤ 7 vs > 7 days), or prior concussions (0 vs ≥ 1). The model accurately discriminated between early versus typical or delayed recovery duration groupings (area under the curve 0.80, Youden index 0.44), and correctly classified > 90% of patients who recovered early. CONCLUSIONS: This novel three-factor predictive tool enabled accurate discrimination of early versus typical or delayed SRC recovery to better allocate resources, counsel patients, and make timely referrals.

Investigation of Factors Contributing to Racial Differences in Sport-Related Concussion Outcomes.

OBJECTIVE: Following sport-related concussion (SRC), early studies have demonstrated racial differences in time to clinical recovery; however, these differences have not been fully explained. We sought to further explore these associations by considering possible mediating/moderating factors. METHODS: Data from patients aged 12-18 years diagnosed with SRC from November 2017 to October 2020 were analyzed. Those missing key data, lost to follow-up, or missing race were excluded. The exposure of interest was race, dichotomized as Black/White. The primary outcome was time to clinical recovery (days from injury until the patient was either deemed recovered by an SRC provider or symptom score returned to baseline or zero.) RESULTS: A total of 389 (82%) White and 87 (18%) Black athletes with SRC were included. Black athletes more frequently reported no SRC history (83% vs. 67%, P = 0.006) and lower symptom burden at presentation (median total Post-Concussion Symptom Scale 11 vs. 23, P < 0.001) than White athletes. Black athletes achieved earlier clinical recovery (hazard ratio [HR] = 1.35, 95% CI 1.03-1.77, P = 0.030), which remained significant (HR = 1.32, 95% CI 1.002-1.73, P = 0.048) after adjusting for confounders associated with recovery but not race. A third model adding the initial Post-Concussion Symptom Scale score nullified the association between race/recovery (HR = 1.12, 95% CI 0.85-1.48, P = 0.410). Adding prior concussion history further reduced the association between race/recovery (HR = 1.01, 95% CI 0.77-1.34, P = 0.925). CONCLUSIONS: Overall, Black athletes initially presented with fewer concussion symptoms than White athletes, despite no difference in time to clinic. Black athletes achieved earlier clinical recovery following SRC, a difference explained by differences in initial symptom burden and self-reported concussion history. These crucial differences may stem from cultural/psychologic/organic factors.

Factors Associated With Additional Clinic Visits in the Treatment of Sports-Related Concussion.

OBJECTIVE: To evaluate the variables associated with additional concussion clinic visits before discharge to athletic trainer (AT). DESIGN: Retrospective cohort study. SETTING: Multidisciplinary Sports Concussion Center. PATIENTS: Patients ages 12 to 23 years presenting with a sport-related concussion between January 11, 2017, and January 10, 2020, and were discharged to an AT. METHODOLOGY: Our main outcome variable was being discharged to AT after the initial clinic visit versus those who attended additional clinic visits before AT discharge. We examined the influence of age, sex, initial visit symptom score, family and personal history of psychiatric disorders and migraines, history of prior concussions, and other variables on this outcome. RESULTS: Of 524 patients, 236 were discharged to AT after the initial clinic visit, while 288 patients required additional clinic visits. The additional visit group had higher initial visit symptom scores ( P = 0.002), head imaging performed more frequently ( P < 0.02), a family history of psychiatric disorders and/or migraines ( P < 0.001, P < 0.001), more often reported a prior concussion ( P = 0.02), and was younger ( P = 0.014) compared with the one visit group. In a multiple variable model, the family history of psychiatric disorders [odds ratio (OR), 3.12 (95% CI, 1.531-6.343), P = 0.002], prior concussions [OR, 1.39 (95% CI, 1.020-1.892), P = 0.037], greater initial symptom score [OR, 1.05 (95% CI, 1.031-1.058), P < 0.001], and younger age [OR, 0.87 (95% CI, 0.773-0.979), P = 0.021] were strongly associated with additional visits. CONCLUSIONS: Among athletes treated at a regional sports concussion center, family history of psychiatric disorders, increased symptom score at initial visit, prior concussions, and younger age were each uniquely associated with needing additional clinic visits at the time of initial assessment. Understanding these variables may guide treatment protocols for optimal care.

Use of acute cognitive symptom cluster to predict return-to-learn duration following a sport-related concussion.

OBJECTIVE: Adolescents sustaining sport-related concussion often experience difficulties with the return-to-learn (RTL) process. Whereas the initial symptom burden has predicted prolonged RTL, no studies have established a relationship between acute cognitive symptoms and RTL duration. The authors sought to evaluate the relationship between initial cognitive symptoms and RTL duration. METHODS: A retrospective single-institution cohort study of adolescent athletes aged 12-23 years who were evaluated within 5 days of a diagnosed sport-related concussion between November 2017 and October 2020 was conducted. Athletes missing cognitive symptom ratings and RTL data were excluded. The primary exposure variable was the Cognitive Symptom Ratio (CSR), defined as total cognitive symptom cluster score divided by total Post-Concussion Symptom Scale (PCSS) score from the initial clinic visit. Primary and secondary outcomes were time to RTL and total length of care, respectively. Multivariable Cox proportional hazards modeling was used to assess the effect of CSR on RTL duration. RESULTS: Of 653 athletes evaluated within 5 days of injury, 346 patients were included in the final cohort. Athletes reported a median initial PCSS score of 21 (interquartile range [IQR] 6-37) and a median cognitive symptom score of 4 (IQR 0-9). Most patients endorsed some degree of difficulty concentrating (n = 212, 61.3%). The median CSR was 0.18 (IQR 0.00-0.27). On multivariable regression analysis, a higher CSR was associated with prolonged RTL duration (HR 0.30, 95% CI 0.13-0.69, p = 0.004). When initial PCSS score was added to the model, the previously significant association between CSR and RTL was no longer significant (HR 0.67, 95% CI 0.29-1.59, p = 0.367). When dichotomized based on frequency distribution, a higher proportion of patients with low CSR achieved RTL by 7 days postinjury (82.2% vs 69.9%, p = 0.007), a difference not seen at 14 days (92.2% vs 87.3%, p = 0.133). CONCLUSIONS: An acute ratio of cognitive symptoms may predict patients at increased risk for prolonged RTL and those with normal PCSS scores who may experience difficulties once resuming school activities.

Health Care Navigation of Black and White Adolescents After Sport-Related Concussion: A Path Toward Health Equity.

CONTEXT: Care-seeking behaviors for sport-related concussion (SRC) are not consistent across demographic subgroups. Not only may these differences stem from health inequities, but they can perpetuate disparities in care for SRCs. OBJECTIVE: To determine whether racial differences existed in the care pathway from injury to SRC clinic of adolescent athletes. DESIGN: Retrospective cohort study. SETTING: Regional SRC center. PATIENTS OR OTHER PARTICIPANTS: Of 582 total athletes, 96 (16.5%) Black and 486 (83.5%) White adolescent athletes were diagnosed with SRC and evaluated within 3 months at the SRC clinic. MAIN OUTCOME MEASURE(S): Race was the defined exposure, dichotomized as Black or White. The 4 primary outcomes were (1) location of the first health system contact, (2) time from injury to the first health system contact, (3) time to the in-person SRC clinic visit, and (4) whether the athlete established care (>1 visit), was released immediately to an athletic trainer, or was lost to follow-up. RESULTS: Black and White athletes mostly presented directly to the SRC clinic (61.5% versus 62.3%) at a median (interquartile range) of 3 (1-5) and 4 (1-8) days, respectively (P = .821). Similar proportions of Black and White athletes also first presented to the emergency department (30.2% and 27.2%) at a median of 0 (0-1) versus 0 (0-1) days, respectively (P = .941). Black athletes more frequently had care transferred to their athletic trainer than White athletes (39.6% versus 29.6%) and less frequently established care (56.3% versus 64.0%), respectively; however, these differences were not statistically significant (P = .138). Loss to follow-up was uncommon among Black (4.2%) and White (6.4%) athletes alike. CONCLUSIONS: Within an established SRC referral network and multidisciplinary clinic, no racial disparities were observed in how athletes were initially managed or ultimately presented to the SRC clinic despite racial differences in school type and insurance coverage. The SRC center assimilation and affiliation with school systems may be helpful in improving access and providing equitable care across diverse patient demographics.

Improving annual albuminuria testing for individuals with diabetes.

BACKGROUND: Annual albuminuria screening detects the early stages of nephropathy in individuals with diabetes. Because early detection of albuminuria allows for interventions that lower the risk of developing chronic kidney disease, guidelines recommend annual testing for all individuals with type 2 diabetes mellitus and for those with type 1 diabetes for at least 5 years. However, at the Eskind Diabetes Clinic at the Vanderbilt University Medical Center, testing occurred less frequently than desired. METHODS: A quality improvement team first analysed the clinic's processes, identifying the lack of a systematic approach to testing as the likely cause for the low rate. The team then implemented two successive interventions in a pilot of patients seen by nurse practitioners in the clinic. In the first intervention, staff used a dashboard within the electronic health record while triaging each patient, pending an albuminuria order if testing had not been done within the past year. In the second intervention, clinic leadership sent daily reminders to the triage staff. A statistical process control chart tracked monthly testing rates. RESULTS: After 6 months, annual albuminuria testing increased from a baseline of 69% to 82%, with multiple special-cause signals in the control chart. CONCLUSIONS: This project demonstrates that a series of simple interventions can significantly impact annual albuminuria testing. This project's success likely hinged on using an existing workflow to systematically determine if a patient was due for testing and prompting the provider to sign a pended order for an albuminuria test. Other diabetes/endocrinology and primary care clinics can likely implement a similar process and so improve testing rates in other settings. When coupled with appropriate interventions to reduce the development of chronic kidney disease, such interventions would improve patient outcomes, in addition to better adhering to an established quality metric.

The Relationship of Aging and Smoking With Rotator Cuff Disease: A Systematic Review and Meta-analysis.

OBJECTIVE: Despite rotator cuff disease being one of the most common causes of shoulder pain, its pathogenesis and biology are poorly understood. In this study, we synthesized evidence from studies reporting associations for aging and smoking status in relation to rotator cuff disease. DESIGN: A systematic review was performed using multiple databases (PubMed, Embase, Cochrane, CINAHL, and Science Direct). Articles that met our eligibility criteria and presented data on the association between aging and/or smoking status and rotator cuff disease were included. We performed meta-analyses and reported cumulative effects using odds ratios and corresponding 95% confidence intervals. RESULTS: Of the 212 articles eligible for full-text review, seven studies reported on the relationship between aging and rotator cuff disease, and 10 studies reported on the relationship between smoking and rotator cuff disease. Aging was consistently associated with increased odds of having rotator cuff disease when assessed continuously (per 10-yr increase: odds ratio = 1.20, 95% confidence interval = 1.18-1.21) or categorically (ages <40 yrs vs: [a] 40-44 yrs [odds ratio = 2.71, 95% confidence interval = 1.78-4.13], [b] 45-49 yrs [odds ratio = 4.33, 95% confidence interval = 2.88-6.55], and [c] ≥50 yrs [odds ratio = 6.97, 95% confidence interval = 4.85-10.01]). Assessing studies that reported smoking status as current smokers versus nonsmokers, current smokers were more likely to have rotator cuff disease (odds ratio = 1.94, 95% confidence interval = 1.52-2.48). However, a statistically significant association was not found when never smokers were compared with former smokers (odds ratio = 1.08, 95% confidence interval = 0.97-1.20) and to current smokers (odds ratio = 0.97, 95% confidence interval = 0.87-1.07). CONCLUSIONS: In this systematic review and meta-analysis, increasing age was a strong risk factor for rotator cuff disease. The finding that current smokers are more likely to have rotator cuff disease as compared with nonsmokers implies that cessation of smoking can potentially lead to mitigation of this risk factor.

Disparities and Inequities in Youth Sports.

ABSTRACT: Participation in youth sports can have a positive, lasting impact on a child's general health and physical well-being. Unfortunately, some youth populations are unable to participate and/or reap the benefits of sports because of existing inequities. Youth from lower socioeconomic status and ethnic minority children have been found to participate in sports less. These disparities are unfortunately pervasive and likely the result of multiple barriers, including financial and time constraints, limited resources and the inability to access facilities both in and out of school, and lack of familial support. There also exist inequities with regard to sports injury management, including knowledge, access to athletic trainers, and care. This article provides a review of the numerous disparities and inequities in youth sports. Compiling and understanding these data may help develop a framework to make youth sports more equitable and beneficial for all.

Factors Associated With Symptomatic Rotator Cuff Tears: The Rotator Cuff Outcomes Workgroup Cohort Study.

OBJECTIVE: Although rotator cuff tear is one of the most common musculoskeletal disorders, its etiology is poorly understood. We assessed factors associated with the presence of rotator cuff tears in a cohort of patients with shoulder pain. DESIGN: From February 2011 to July 2016, a longitudinal cohort of patients with shoulder pain was recruited. Patients completed a detailed questionnaire in addition to a magnetic resonance imaging scan and a clinical shoulder evaluation. The association of multiple factors associated with rotator cuff tears was assessed using multivariate logistic regression. RESULTS: In our cohort of 266 patients, 61.3% of patients had a rotator cuff tear. Older age (per 1 yr: odds ratio = 1.03, 95% confidence interval = 1.02-1.07), involvement of the dominant shoulder (odds ratio = 2.02, 95% confidence interval = 1.16-3.52), and a higher body mass index (per 1 kg/m2: odds ratio = 1.06, 95% confidence interval = 1.03-1.12) were independently associated with rotator cuff tears. Sex, depression, smoking status, shoulder use at work, hypertension, and diabetes were not significantly associated with rotator cuff tear. CONCLUSIONS: In a cohort of patients with shoulder pain, we identified older age, involvement of the dominant shoulder, and a higher body mass index to be independently associated with rotator cuff tear. The mechanism of how these factors possibly lead to rotator cuff tears needs further research. TO CLAIM CME CREDITS: Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME. CME OBJECTIVES: Upon completion of this article, the reader should be able to: (1) Identify factors associated with an increased risk of developing rotator cuff tears in adults; (2) Describe the current epidemiological trends of rotator cuff tears in the United States; and (3) Discuss the pathophysiological role of aging in the development of nontraumatic rotator cuff tears. LEVEL: Advanced. ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.