Citations

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]

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.

Purpose To determine structural knee injury rates and to identify risk factors and the number of games missed associated with these injuries in National Basketball Association (NBA) players from the 2015 to 2020 seasons. Methods Publicly available player records of active NBA players between the 2015 and 2020 seasons (excluding the shortened 2019 season) were reviewed to identify players with a knee injury associated with missing one or more games. Player demographics, anthropometric measurements, statistics, injury characteristics, and history of other lower‐extremity injuries were recorded. We sought factors associated with having a structural knee injury in bivariate analysis and multivariable logistic regression. Negative binomial regression was conducted to evaluate factors associated with the total number of games missed. Results Two hundred twelve players (of 1,011, 21%) sustained a structural knee injury. Accounting for potential confounders, having a structural knee injury was associated with more minutes per game played (odds ratio [OR] 1.1; 95% confidence interval [CI] 1.0‐1.2; P = .002), a greater usage rate (OR 1.1; 95% CI 1.0‐1.2; P = .004), and a lower player efficiency rating (OR 0.94; 95% CI 0.89‐1.0; P = .041). A greater number of missed games was associated with more minutes per game (regression coefficient [RC] 0.065; 0.028‐0.10; P = .001), fewer points per game (RC –0.078; –0.14 to –0.017; P = .013), and greater usage rate (RC 0.032; 0.0040‐0.060; P = .025). Conclusions Structural knee injuries occurred in 21% of players in this study with an overall rate of 5.42 injuries per 1,000 game exposures. Significant risk factors associated with injury were minutes per game, usage rate, and true shooting percentage. Player efficiency was significantly associated with a decreased risk of injury. Increased minutes per game and usage rate were significantly associated with a longer duration of game loss. Level of Evidence Level IV, case series.

Therapeutic interventions to manage symptoms of COVID-19 are continually evolving and being used in a variety of settings. In an attempt to reduce the potential for a high influx of hospital admissions for COVID-19 and mitigate the advancement of COVID-19 disease in infected patients, an outpatient therapy clinic for infusion therapy was established. The focus of the current paper is to outline the development of the outpatient treatment center, provide a detailed summary of workflow and discuss operational challenges and directions for the future.

Background: Quality measures are now commonplace and are increasingly tied to financial incentives. We reviewed the existing quality measures that address the upper limb and tested the null hypothesis that structure (capacity to deliver care), process (appropriate care), and outcome (the result of care) measures are equally represented. Methods: We systematically reviewed MEDLINE/PubMed, Embase, Google Scholar, the American Academy of Orthopaedic Surgeons Clinical Practice Guidelines, the National Quality Forum, the Agency for Healthcare Research and Quality, and the Physician Quality Reporting System for quality measures addressing upper limb surgery. Measures were characterized as structure, process, or outcome measures and were categorized according to their developer and their National Strategy for Quality Improvement in Health Care (National Quality Strategy) priority as articulated by the U.S. Department of Health & Human Services. Results: We identified 134 quality measures addressing the upper limb: 131 (98%) process and three (2%) outcome measures. The majority of the process measures address the National Quality Strategy priority of effective clinical care (90%), with the remainder addressing communication and care coordination (5%), person and caregiver-centered experience and outcomes (4%), and community/population health (1%). Conclusions: Our review identified opportunities to develop more measures in the structure and outcome domains as well as measures addressing patient and family engagement, public health, safety, care coordination, and efficient use of resources. The most common existing measures—process measures addressing care—might not be the best measures of upper limb surgery quality given the relative lack of evidence for their use in care improvement.