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To describe the epidemiology, mechanisms, treatment, and disability for facial injuries in National Basketball Association (NBA) athletes. This was a retrospective descriptive epidemiological chart review using NBA Electronic Medical Record (EMR) system. Responses to injuries reported in games, practices, and other activities were used for all data analysis, except for game incidence rates. Incidence rates were calculated by the game-related facial injury incidence per total athlete exposure (player-games). There were 440 facial injuries among 263 athletes during the 5 NBA seasons with an overall single-season risk of 12.6% and a game incidence of 2.4 per 1000 athlete-exposures (95% CI: 2.18–2.68). The majority of injuries were lacerations (n = 159, 36.1%), contusions (n = 99, 22.5%), or fractures (n = 67, 15.2%), with ocular (n = 163, 37.0%) being the most commonly injured location. Sixty (13.6%) injuries resulted in at least one NBA game missed (224 cumulative player-games) with ocular injuries resulting in the most cumulative games missed (n = 167, 74.6%). Nasal fractures (n = 39, 58.2%) were the most common fracture location followed by ocular fractures (n = 12, 17.9%) but were less likely to lead to games missed (median = 1, IRQ: 1–3) than ocular (median = 7, IQR: 2–10) fractures. An average of one in eight NBA players sustained a facial injury each season with ocular injuries being the most common location. While most facial injuries are minor, serious injuries, especially ocular fractures, can result in games missed. [ABSTRACT FROM AUTHOR]

Background: A previous report revealed an average of 7.2 (0.67 per 100,000 participants) sport-related structural brain injuries (SRSBIs) with macroscopic lesions per year in high school (HS) and college football players. The Lystedt law and other rule changes have been implemented with intent to reduce the risk of brain injury in football. Hypothesis: To update the profile of SRSBIs in HS and college football players and evaluate the efficacy of legislation intended to reduce brain injuries. Study Design: Descriptive epidemiology study. Level of Evidence: Level 4. Methods: We retrospectively reviewed 18 academic years (July 2002 through June 2020) of SRSBIs catalogued by the National Registry of Catastrophic Sports Injuries. The incidence of SRSBIs was assessed at the HS level during the pre (July 2002 through June 2009), transitional (July 2009 through June 2014), and post (July 2014 through June 2020) universal adoption time periods of the Lystedt law. In addition, the incidence of SRSBIs during the second half of the study (2011-2012 through 2019-2020) was compared with the first half of the study (2002-2003 through 2010-2011). Results: During the study period, there was a total of 228 SRSBIs (12.7 per year, 1.01 per 100,000 participants): 212 (93%, 11.8 per year, 1.00 per 100,000) in HS athletes and 16 (7%, 0.89 per year, 1.17 per 100,000) in college athletes. There were 52 fatalities (2.9 per year, 0.22 per 100,000 participants) with 46 (2.56 per year, 0.22 per 100,000) in HS athletes and 6 (0.33 per year, 0.43/100,000) in college athletes. There was no significant difference in risk of HS total SRSBIs or fatalities during the 3 Lystedt periods. The risk of combined SRSBI cases [relative risk (RR) = 1.22, P = 0.13] and fatalities (RR = 1.20, P = 0.52) was similar in the second half of the study compared with the first half of the study. Conclusion: Despite implementation of rule changes intended to reduce head injury, in particular the Lystedt law, the incidence of SRSBIs has remained unchanged. Further research is necessary to develop effective prevention programs for SRSBIs. Clinical Relevance: SRSBIs remain a persistent problem in HS and college American football. The recent head injury rule changes have not been effective at reducing SRSBIs. [ABSTRACT FROM AUTHOR]

There have been numerous case series of exertional rhabdomyolysis (ER) but no comprehensive studies investigating the incidence of ER in the civilian athletic population in the United States (US). A retrospective review of patients with ER presenting to emergency departments in the US over a 20-year period between 2000 and 2019 was performed using the National Electronic Injury Surveillance System (NEISS) database. The national estimate of hospital visits in the US for ER during the 20-year period was 40,654 (0.66 per 100,000 population). There was a 10-fold increase in the incidence of ER from the first to the second decade. The odds of ER were 3.77 (95% CI 3.67–3.86, P <.0001) times higher for males (31,921, 78.5%, 1.06 per 100,000) than females (8,733, 21.5%, 0.28 per 100,000) and 3.82 (95% CI 3.71–3.93, P <.0001) higher in African Americans (33.6, 0.93 per 100,000) than white patients (53%, 0.24 per 100,000). American football (3,064, 7.5%) was responsible for 43.9% of the sports-induced ER cases. The majority (67.3%) of ER cases occurred between the ages of 16 and 35 years old. The majority of patients required hospitalization (26,550, 65.3%). The number of ER cases presenting to emergency departments in the US increased from 2000–2009 to 2010–2019. Young males and African Americans are at highest risk of ER. There was a high rate of hospitalization. [ABSTRACT FROM AUTHOR]

Background: Nontraumatic fatalities occur on a regular basis in high school (HS) and college football athletes, primarily in obese linemen performing high-intensity exercise. One contributing factor to these deaths may be a mismatch between baseline aerobic (cardiorespiratory) fitness and exercise regimens. Hypothesis: There is a wide range of aerobic fitness in HS and college football players. Body mass index (BMI) is a safe and simple method for estimating baseline aerobic fitness. Study Design: Retrospective cohort study. Level of Evidence: Level 3. Methods: A retrospective review was performed on 79 HS football athletes who had VO2Peak (mL·kg−1·min−1) measured during the offseason. Multivariate regression analysis was used to determine if BMI (obese, overweight, and normal; kg/m2), position played (linemen vs other), year in school (freshmen vs other), and/or race (African American vs White) were risk factors for poor aerobic fitness. A separate cohort of 135 (48 HS; 87 college) football athletes performed a 6-minute run test to determine speed (miles/min), extrapolate VO2Max, and calculate reference values for suggested upper threshold safe starting speeds (85% of maximum) for aerobic training based on BMI. The relationship between BMI and VO2Peak was assessed. The exercise regimens (speeds) of 2 collegiate football fatalities from the public domain were used to predict their VO2Max values. Results: Mean VO2Peak (mL·kg−1·min−1) was 38.5 ± 8.6 (range 19.1-60.6); when grouped by BMI, low scores (<40) were found in 87.5% of obese (32.4 ± 7.7), 47.8% of overweight (40.8 ± 7.6), and 45.2% of normal (41.4 ± 7.8) athletes. VO2Peak was significantly lower in linemen (32.8 ± 6.4; P = 0.007) compared with nonlineman (41.8 ± 7.9), and in obese players (by BMI; 32.4; P = 0.019) compared with nonobese players (41.4 ± 7.6), but did not differ by age, year in school, or race. Means for speed (min/mile) and extrapolated VO2Max (mL·kg−1·min−1) for the 6-minute run test by BMI groups were both significantly different (P = 0.001) for normal (7.0 ± 0.6; 51.1 ± 2.6), overweight (7.6 ± 0.8; 46.5 ± 3.2), and obese (8.9 ± 1.5; 36.8 ± 5.9) athletes. There was a significant negative correlation (r = −0.551; P = 0.001; R 2 = 0.304) between VO2Peak and BMI. Safe starting speed recommendations for running 1 mile range from 7.3 to 12.1 min/mile for BMIs 20 to 40 kg/m2 for HS and college athletes. For the 2 fatalities (mean, BMI of 36.5 kg/m2) repetitive sprint speeds were 49 and 89% higher than our safe starting speeds for their BMI. Conclusion: A large spectrum of baseline aerobic fitness was noted in HS and college football players. Obese players and linemen had statistically lower baseline aerobic fitness, a major risk factor for possible heat illness. BMI is an acceptable surrogate for VO2Peak and can be employed to develop safe training regimens without the need for a maximum fitness test, which can place the athlete at risk for a medical event. Clinical Relevance: Knowledge of BMI provides an estimate of baseline aerobic fitness and a foundation for prescribing safe, individualized exercise regimens. [ABSTRACT FROM AUTHOR]