Chhabra, Anikar

Purpose To determine the incidence rates and associated risk factors of season‐ending injuries (SEIs) in the National Basketball Association (NBA) from the 2015‐20 seasons. Methods Publicly available records of active NBA players between the 2015‐16 and 2020‐21 seasons were reviewed to identify players with an SEI. In this study, SEI was classified as any injury that resulted in failure to return at least 5 games before the end of the team’s game schedule. Injury data from the 2019‐20 NBA season, shortened because of the coronavirus disease 2019 pandemic, were omitted. The primary outcome was the incidence of SEIs reported per 1,000 game exposures (GEs). Player demographics, basketball statistics, injury characteristics, and timing of injury were recorded. Secondary analysis, including bivariate analysis and multivariate logistic regression, was performed to investigate factors associated with having an SEI. Results In total, 196 players (15.6% of all players) sustained a combined 238 SEIs between the 2015‐16 and 2020‐21 seasons, indicating a rate of 1.74 SEIs per 1,000 GEs. When characterized by body part, knee injuries were found to be the most frequent SEI, at a rate of 0.47 injuries per 1,000 GEs. Accounting for potential confounders, having an SEI was significantly associated with more minutes per game played (odds ratio, 1.06, 95% confidence interval, 0.99‐1.01, P < .001). Conclusions SEIs occurred in 15.6% of players in this study, with an overall rate of 1.74 SEIs per 1,000 GEs. The most significant risk factor associated with injury was minutes per game. SEI was more likely to occur in the third and fourth quartiles of the NBA season than in the first or second quartile. Level of Evidence : Level III, retrospective comparative prognostic investigation.

Purpose To systematically review the existing literature on the functional performance of athletes at the time of return‐to‐sport (RTS) clearance after anterior cruciate ligament reconstruction (ACLR). Methods A systematic literature search of the MEDLINE, EMBASE, Scopus, and Web of Science databases was performed. The inclusion criteria were original research reports with study populations of athletes who had undergone ACLR and had undergone objective functional testing immediately after clearance to RTS. Functional testing was stratified by hop tests, strength tests, kinetic assessment, and kinematic assessment, and data were extracted from each study using a standardized template. Results Of the 937 unique studies identified, 46 met the inclusion criteria. The average time between ACLR and functional testing was 7.9 months among the included studies. In 10 of 17 studies, patients were found to have an average quadriceps strength limb symmetry index of less than 90%. However, only 2 of 12 studies found the average hop test limb symmetry index to be less than 90%. Kinematics included reduced knee flexion angle and increased trunk flexion on landing in ACLR patients compared with matched controls. On evaluation of kinetics, ACLR patients showed reduced peak vertical ground reaction force, lower peak knee extension and knee flexion moments, and altered energy absorption contribution compared with matched controls. Conclusions This systematic review suggests that athletes show functional deficits at the time of RTS at an average of 7.9 months after ACLR. Traditional functional tests, such as strength and hop tests, are not able to accurately identify patients who continue to show deficits. The most common biomechanical deficits that persist after RTS clearance include diminished peak knee extension moment, decreased knee flexion angle, increased trunk flexion angle, reduced vertical ground reaction force, and increased hamstring central activation ratio during various functional gait and landing tasks. Level of Evidence Level III, systematic review of Level I to III studies.

Purpose To characterize the prevalence and incidence of in‐game hand and wrist injuries in the National Basketball Association (NBA), to determine the factors associated with an equal or greater player efficiency rating (PER), and to determine the factors associated with an equal or greater true shooting percentage (TS%) 2 years after a hand and wrist injury using a large‐scale national database of NBA players. Methods Injury data from seasons 2015‐2016 to 2020‐2021, with exclusion of the 2019‐2020 because of abbreviated play due to the coronavirus disease 2019, were extracted from a public online database, Pro Sports Transactions. Injury characteristics and NBA player demographic information were assessed using descriptive statistics. Poisson logistic regression analyses were performed to identify risk factors associated with equal or increased PER and TS% 2years after injury. Results There were 214 reported hand and wrist injuries, and of these injuries, 173 (81%) were classified as structural. The most common injury types were a strain or sprain (0.63 per 1,000 game exposures), followed by fractures (0.37 per 1,000 game exposures). Older age (relative risk [RR] 0.89; 95% confidence interval [CI] 0.84‐0.95) and more years played in the NBA were modestly associated with relative risk of having a decreased PER at 2 years after injury. Increased weight (RR 1.02; 95% CI 1‐1.05) and increased body mass index (RR 1.14; 95% CI 1.01‐1.29) were also modestly associated with having a decreased PER and TS%, respectively at 2 years after injury. Conclusions Strains/sprains and fractures are the most common hand and wrist injuries sustained by NBA players. Regardless of dominant or nondominant hand and wrist injuries, NBA players are likely to return to baseline overall player efficiency based on PER and TS% within 2 years of injury. Clinical Relevance Our study characterizes hand and wrist injuries of NBA players and provides an understanding for these injuries on player performance at 2 years.

Purpose To describe injury epidemiology in U.S. adolescent tennis players between 2014 and 2018 via the High School Reporting Information Online (HS RIO) database. Methods The HS RIO database was queried for injury data on high school tennis players as reported by athletic trainers between 2014 and 2018. Injuries were analyzed according to athlete demographics, injury type, location, and context. Variables of interest between male and female athletes were compared using Pearson χ 2 test or Fisher exact test. Results In total, 176 injuries in high school tennis players between 2014 and 2018 were identified in the HS RIO database. Overall, 25.6% (45/176) occurred in the ankle, 12.5% (22/176) in the knee, and 9.7% (17/176) in the wrist. The most common types of injuries were ligament sprains and muscle strains at 35.2% (62/176) and 17.6% (31/176) of injuries, respectively. Although most injuries were unrelated to contact, such as overuse and heat exertion or stroke, 28.7% (47/176) of injuries were the result of rotation around a planted foot/inversion of the foot. We found no difference in injury patterns between male and female high school tennis athletes. Conclusions We found no difference in injury patterns between male and female U.S. high school tennis athletes. The ankles, knees, and wrists were the most commonly injured areas in this population. The most common types of injuries were ligament sprains and muscle strains. Although many injuries were new, athletes rarely required surgery and returned to play. Finally, we found no difference in injury patterns between male and female high school tennis athletes. Clinical Relevance The epidemiology of injuries among high school tennis players is poorly understood. The information from this study will help us to understand these injuries and how we may be able to better prevent them.

Background: Shoulder and elbow function is essential to basic basketball actions. Outside of anterior shoulder instability, injuries in these joints are not well characterized in National Basketball Association (NBA) players. Purpose: To describe the epidemiology and associated risk factors of shoulder and elbow injuries in NBA players and identify factors that influence player performance upon return to play. Study Design: Descriptive epidemiology study. Methods: Historical injury data from the 2015-2020 NBA seasons were retrieved from Pro Sports Transactions, a public online database. An injury was defined as a health-related concern resulting in an absence of ≥1 NBA games. Primary measures included pre- and postinjury player efficiency rating (PER) and true shooting percentage (TS%) with interquartile ranges (IQRs), stratified by extremity dominance. Multivariate logistic regression analyses with stepwise regression were performed to identify risk factors associated with return-to-play performance. Results: A total of 192 shoulder and elbow injuries were sustained among 126 NBA athletes, with incidence rates of 1.11 per 1000 game exposures (GEs) and 0.30 per 1000 GEs, respectively. Sprain/strain and general soreness were the most common injury types in both the shoulder and the elbow. In the 2 years after injury, baseline PER was achieved in all groups, except for players with dominant shoulder injuries (baseline PER, 16 [IQR, 14-18] vs 2-year PER, 13 [IQR 11-16]; P = .012). Younger age was associated with quicker return to baseline PER (odds ratio, 0.77 [95% CI, 0.67-0.88]). Shoulder and elbow injuries did not negatively influence TS% upon return to play (baseline TS%, 0.55% [IQR, 0.51%-0.58%] vs 1-year TS%, 0.55% [IQR, 0.52%-0.58%]; P = .13). Conclusion: Dominant shoulder injuries negatively influenced PER during the first 2 seasons upon return to play in NBA players. Therefore, expectations that players with this type of injury immediately achieve baseline statistical production should be tempered. Shooting accuracy appears to remain unaffected after shoulder or elbow injury.

Objectives: Injuries to the foot and ankle are more common in National Basketball Association (NBA) basketball compared to other professional sports. The goal of this study is to report the incidence and associated risk factors of foot and ankle injuries in the NBA athletes. Methods: Foot and ankle injury data from the 2015-16 through 2020-21 NBA seasons was queried and verified using a publicly available database. The truncated 2019-20 season was omitted from this study due to the COVID-19 pandemic. The primary outcome was the incidence of foot and ankle injuries, reported per 1000 game exposures (GEs). Secondary analysis was performed to identify risk factors for ankle injuries through bivariate analysis and multivariable logistic regression of player demographics, performance statistics, injury characteristics, and previous lower extremity injuries. Additionally, factors influencing the length of absence were assessed via negative binomial regression. Results: There were 728 structural foot and ankle injuries (5.34 per 1000 GEs) sustained by NBA players over 5 NBA seasons, with sprain/strain as the most common injury type (4.27 per 1000 GEs) (Table 1). The majority of ankle injury events (55%) resulted in 2-10 game absences (Table 4). The likelihood of sustaining an ankle injury was significantly associated with a greater number of games played, previous upper leg injury, and more games missed due to injury (Table 2). Increased length of absence due to ankle injury was significantly associated with greater height, minutes per game, usage rate, points per game, total rebounds per game, and a prior history of foot, ankle, and knee injuries (Table 3). Conclusions: The incidence of foot and ankle injuries was 5.34 per 1000 GEs in professional basketball players. Games played and previous history of upper leg injuries were found to be risk factors for ankle injuries. Factors associated with physiologic burden such as minutes per game and usage rate were associated with an increased severity of injury. [Table: see text][Table: see text][Table: see text][Table: see text]

Objectives: The purpose of this study is to evaluate the effect of low-intensity blood flow restriction (LI- BFR) training utilized in a pre-rehabilitative setting for patients undergoing anterior cruciate ligament reconstruction (ACLR) on postoperative outcomes by minimizing postoperative atrophy and impairment of the quadriceps. We hypothesize that postoperative strength and hypertrophy of the quadriceps will be greater in a population that undergoes preoperative LI-BFR training than that of a population that undergoes low-intensity sham control (LI-SHAM) training. Methods: Twenty-eight subjects undergoing primary ACLR underwent 2 weeks of either a BFR intervention or a SHAM intervention at a rate of 2 sessions per week before surgery. Quadriceps strength and cross-sectional area were measured as well as other exploratory outcomes were measured before and after the intervention before surgery and at 5 different time points after surgery, through 6 months postoperative. Quadriceps strength was assessed through handheld dynamometry and a leg press test and quadriceps cross-sectional area was assessed using musculoskeletal ultrasound imaging. Results: Adjusting for sex, time, and strength/hypertrophy at baseline, there were no significant differences found between treatment groups for the primary endpoints. Compared to 24-48 hours pre- op, this suggests that the post-op average hypertrophy remains significantly lower through 24 weeks post-op, while leg strength is similar at 24 weeks post-op as measured by handheld dynamometer and even significantly larger at 24 weeks as measured by the leg press test. Conclusions: A 2-week preoperative program of LI-BFR training may not be effective to improve postoperative quadriceps strength and hypertrophy after ACLR.

Objectives: Evidence is limited related to the effects of autograft type on functional performance during gait lab-based functional testing after ACL reconstruction (ACLR), especially the quadriceps autograft. The goal of this study was to compare biomechanical outcomes as measured by 3D motion analysis during the drop vertical test between quadriceps autograft with bone block (QB), quadriceps autograft without bone block (Q), hamstring autograft (HS), and bone-patellar tendon-bone autograft (BTB) six-months postoperatively in an adolescent population. We hypothesized that the quadriceps groups would demonstrate decreased knee extension moments as compared to the hamstring autograft group without other significant differences. Methods: Patients aged 8-18 years who underwent primary ACLR were included. Patients with previous history of ipsilateral knee surgery were excluded. Kinematic and kinetic data collected during a drop vertical jump test in a formal gait lab using a computerized video-based system (Motion Analysis Corp. CORTEX software) was collected six months after ACLR and compared to the uninjured contralateral limb. The Kruskal Wallis test and subsequent pairwise comparisons were carried out for each studied parameter. Primary outcomes included transverse plane hip power, hip internal rotation moment, knee valgus angles, and knee extensor moments between the graft types. Secondary outcomes included hip abduction moment, knee valgus moment, and knee external rotation moment. Results: A total of 155 subjects’ charts were included for review, with 54, 40, 35, and 26 subjects in the HS, QB, Q, and BTB groups respectively. There were no significant differences in terms of age, sex, or affected leg (p > 0.1973). Athletic activity for each subject was also noted when appropriate, including soccer (37), basketball (34), and American football (30). The QB group had smaller knee extension moments maximums (-0.97 N*m/kg vs. -0.35 N*m/kg, p = 0.0323) and smaller knee extension moment averages (-0.12 N*m/kg vs. -0.03 N*m/kg, p = 0.0265) as compared to the HS group. The Q group demonstrated smaller knee extension moment averages (-0.13 N*m/kg vs. -0.03 N*m/kg, p = 0.459) as compared to the HS group. Analysis of secondary outcomes revealed that the HS group demonstrated larger knee valgus moments at initial contact (0.28 N*m/kg vs -0.35 N*m/kg, p = 0.0254) as compared to the Q group. The HS group demonstrated significantly larger hip adduction moment maximums (0.30 N*m/kg vs -0.04 N*m/kg, p = 0.0426) and smaller knee external rotation moment averages (-0.02 N*m/kg vs 0.02 N*m/kg, p = 0.0206) as compared to the QB group. No other secondary outcomes were statistically significant between any of the groups. Conclusions: The findings of this study suggest that the quadriceps autograft may confer improved knee coronal plane biomechanics in regard to ACL reinjury rates when compared to a hamstring autograft at 6 months after ACLR in adolescent patients performing a drop vertical jump. The hamstring autograft group was significantly associated with larger knee valgus moments at initial contact as compared to the quadriceps autograft without bone block and significantly larger hip adduction moments compared to the quadriceps autograft with bone block. Both quadriceps grafts were shown to demonstrate significantly decreased knee extension moments as compared to a hamstring autograft. Further long-term clinical studies may be useful in determining whether the apparent biomechanical differences seen between autograft types are correlated with reinjury rates.

Background: Ankle injuries are more common in the National Basketball Association (NBA) compared with other professional sports. Purpose/Hypothesis: The purpose of this study was to report the incidence and associated risk factors of ankle injuries in NBA athletes. It was hypothesized that factors associated with an increased physiologic burden, such as minutes per game (MPG), usage rate, and associated lower extremity injury, would be associated with increased ankle injury risk and time loss. Study Design: Descriptive epidemiology study. Methods: Ankle injury data from the 2015-2016 through 2020-2021 NBA seasons were evaluated. The truncated 2019-2020 season due to the COVID-19 pandemic was omitted. The primary outcome was the incidence of ankle injuries, reported per 1000 game-exposures (GEs). Secondary analysis was performed to identify risk factors for ankle injuries through bivariate analysis and multivariable logistic regression of player demographic characteristics, performance statistics, injury characteristics, and previous lower extremity injuries. Factors influencing the time loss after injury were assessed via a negative binomial regression analysis. Results: A total of 554 ankle injuries (4.06 injuries per 1000 GEs) were sustained by NBA players over 5 NBA seasons, with sprain/strain the most common injury type (3.71 injuries per 1000 GEs). The majority of ankle injury events (55%) resulted in 2 to 10 game absences. The likelihood of sustaining an ankle injury was significantly associated with a greater number of games played ( P = .029) and previous injury to the hip, hamstring, or quadriceps ( P = .004). Increased length of absence due to ankle injury was associated with greater height ( P = .019), MPG ( P < .001), usage rate ( P = .025), points per game ( P = .011), and a prior history of foot ( P = .003), ankle ( P < .001), and knee injuries ( P < .001). Conclusion: The incidence of ankle injuries was 4.06 per 1000 GEs in professional basketball players. Games played and prior history of hip, hamstring, or quadriceps injuries were found to be risk factors for ankle injuries. Factors associated with physiologic burden such as MPG and usage rate were associated with an increased time loss after injury.

Background: The increased focus on patient satisfaction has led to growth in the use of physician rating websites. Purpose: To analyze the factors associated with online 5-star patient reviews for orthopaedic sports medicine surgeons. Study Design: Cross-sectional study. Methods: A total of 70 orthopaedic sports medicine surgeons were randomly selected from the AOSSM website. A search was performed for these surgeons on Yelp.com. All reviews other than 5 stars (of a possible 5 stars) were excluded from the study. Each review was categorized as referring to a surgical or nonsurgical aspect of care, and each comment within the review was categorized as being clinically or nonclinically related. Comments were further subcategorized by specific features such as bedside manner, clinical outcomes, and patient education. Categorical variables were analyzed using the chi-square test. Results: Overall, 400 five-star reviews were included in the study, comprising 1225 total positive comments. Of the 400 five-star reviews, 200 (50%) were from surgically treated patients, and 200 (50%) were from nonsurgically treated patients. Of the 1225 positive comments, 505 (41%) were clinically related, and 720 (59%) were nonclinical. The most common positive clinical comments were for clear treatment plans (191 reviews [48%]), good outcomes (173 reviews [43%]), and providing alternative treatment plans (55 reviews [14%]). The most common positive nonclinical comments were for good physician bedside manner (287 reviews [72%]), friendly/professional staff (194 reviews [49%]), and ease of scheduling (68 reviews [17%]). Conclusion: The majority of 5-star patient reviews left positive comments regarding nonclinical aspects of care such as physician bedside manner and friendly staff. The most common positive comments regarding clinical aspects concerned good outcomes and clear treatment plans. The overall most common positive comment, in both surgically and nonsurgically treated patients, referred to good bedside manner.