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1.
J Orthop ; 57: 133-136, 2024 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-39027353

RESUMO

Introduction: Recently, star pitchers in Major League Baseball (MLB) have faced devastating elbow injuries, causing some to question whether implementation of the MLB pitch clock during the 2023 season has led to a higher rate of elbow injuries among pitchers. This study aims to determine if implementation of the MLB pitch clock in the 2023 MLB season affected the injury rate in pitchers. Methods: Injury data was collected for the 2021, 2022, and 2023 MLB seasons using the fangraphs.com injury database. Incidence rate ratio was calculated to compare the injury rate for the 2023 season to the 2021 and 2022 seasons. A z-test for proportions was used to determine significance levels. Results: The 2023 season showed a decrease in the rate of the total number of injuries when compared to the 2021 (P = 0.01) and 2022 (P = 0.02) seasons. There was no statistical difference in the rate of Tommy John Surgery, Flexor Tendon Injuries, or other cause elbow injuries. Conclusion: Following implementation of the MLB pitch clock during the 2023 season, the total number of injuries decreased, but there was no change in the rate of elbow injuries in pitchers compared with the 2021 and 2022 MLB seasons. Future studies are needed to determine if the pitch clock has a longitudinal effect on injuries.

2.
Cureus ; 16(3): e56780, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38650794

RESUMO

Introduction Limited research exists on the association between coronavirus 2019 (COVID-19) infection and outcomes following surgical fixation for humerus fractures. The objective of this study was to evaluate the effects of COVID-19 on the clinical outcomes of patients undergoing humerus fracture surgery. Methods Approval to utilize insurance claim data from the Change Healthcare dataset was obtained from the Datavant COVID-19 Research Database. Patients older than 55 years old who underwent humerus fracture surgery from April 1, 2020, to March 1, 2022, were included in the analysis. COVID-19 status, comorbidities, and adverse events were identified using the International Classification of Diseases, 10th Revision (ICD-10) diagnostic codes. Propensity score matching with age, sex, and comorbidities was completed to create a 1:10 matched COVID-19-negative cohort. Univariate and multivariate logistic regressions were performed to assess the association of COVID-19 positivity with perioperative adverse events. Results A total of 18,365 patients underwent humerus fracture surgery in this study, of which 132 (0.72%) tested positive for COVID-19. Univariate analysis found that COVID-19-positive patients were at higher risk for myocardial infarction (5.30% vs. 1.74%, p = 0.015) and acute kidney injury (28.79% vs. 12.50%, p < 0.001) when compared to the 1:10 matched COVID-19-negative cohort. In addition, multivariate logistic regression found that COVID-19-positive patients had higher odds of experiencing any adverse event (2.57; 95% CI: 1.69-3.91; p < 0.001) or a minor adverse event (2.44; 95% CI: 1.57-3.79; p < 0.001). Conclusion COVID-19-positive patients have increased odds of experiencing adverse events after undergoing humerus fracture surgery in comparison to a matched COVID-19-negative control. Findings from this study stress the importance of using COVID-19 status as a factor in predicting outcomes following orthopedic surgery in this patient population.

3.
JMIRx Med ; 5: e45688, 2024 Feb 13.
Artigo em Inglês | MEDLINE | ID: mdl-38462739

RESUMO

Background: In 2020, COVID-19 spread across the world and brought normal daily life to a halt, causing the shutdown of nearly everything in order to prevent its spread. The National Football League (NFL) similarly experienced shutdowns and the resulting effects, leaving athletes unable to train in some of the most advanced facilities with many of the best trainers in the world. A previous study, titled COVID-19 Return to Sport: NFL Injury Prevalence Analysis, determined that there was increased injury prevalence during the 2020 season, likely due to decreased physiological adaptations within athletes' bodies as a result of facility shutdowns. Understanding injury epidemiology is vital to the prevention of injuries and the development of return-to-play protocols. Objective: The objective of this study is to perform a follow-up study to COVID-19 Return to Sport: NFL Injury Prevalence Analysis in order to examine the longitudinal effects of the COVID-19 pandemic on injury epidemiology. This study examines if there was a recovery to baseline levels of injuries or if there are still lingering effects from the COVID-19 pandemic-induced spike in injuries. Methods: To determine if there was change in the number of injuries for each season, injury tallies collected from the 17-week-long 2018, 2019, and 2020 NFL regular seasons were compared with those from the 18-week-long 2021 and 2022 NFL regular seasons. A Kruskall-Wallis test with post hoc Dunn analysis was conducted to compare the rate of injuries per team per week between each of the 2018, 2019, 2020, 2021, and 2022 regular seasons. Results: The Kruskall-Wallis test revealed an H statistic of 32.61 (P<.001) for the comparison of the injury rates across the 5 seasons. The post hoc Dunn analysis showed that 2020 had a statistically significant difference when compared with each of the 2018 (P<.001), 2019 (P=.04), 2021 (P=.02), and 2022 (P=.048) seasons. The 2019 season showed no statistical significance when compared with the 2021 (P=.23) and 2022 (P=.13) seasons. Conclusions: The results of this follow-up study, combined with the previous study, show that extended training interruptions stemming from COVID-19 in 2020 induced detraining and led to increased injuries. Additionally, the results of this study show that retraining can occur, resulting in the development of injury protective factors, as injury rates returned to baseline levels after 2020. This is the first large-scale and long-term opportunity to demonstrate the effects of these principles and how they are important to understanding injury epidemiology.

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