Background: Anterior cruciate ligament (ACL) rupture is one of the most common injuries afflicting soccer players and requires a lengthy recovery processes after reconstructive surgery. The impact of ACL reconstruction (ACLR) on return to play (RTP) time and player performance in professional soccer players remains poorly studied. Purpose/Hypothesis: To determine player performance and RTP rate and time after ACLR in elite professional soccer players with a retrospective matched-cohort analysis. We expected that the RTP time and rate will be similar to those of other professional-level athletes. Study Design: Cohort study; Level of evidence, 3. Methods: Included were 51 players from 1 of the 5 elite Union of European Football Associations (UEFA) soccer leagues who suffered a complete ACL rupture between 1999 and 2019. These athletes were matched by position, age, season of injury, seasons played, and height and compared to uninjured control players. Change in performance metrics for the 4 years after the season of injury were compared with metrics 1 season before injury. Univariate 2-group comparisons were performed using independent 2-group t tests; Wilcoxon rank-sum tests were used when normality of distributions was violated. Results: Overall, 41 players (80%) returned to play after ACL rupture, with 6 (12%) experiencing a subsequent ipsilateral or contralateral ACL tear. The mean (±SD) RTP time for soccer players after ACLR was 216 ± 109 days (26 ± 18 games). Injured athletes played significantly fewer games and minutes per season and recorded inferior performances for 2 seasons after their injury ( P < .001). However, the game performance of injured players equaled or exceeded that of their matched controls by season 3 after injury, with the exception of attackers, who demonstrated a continued decline in performance ( P < .001). Conclusion: Results indicated that the mean RTP time for soccer players after ACLR is short in comparison with other major sports leagues (216 days). However, RTP rates were high, and rerupture rates were comparable with those of other sports. With the exception of attackers, player performance largely equaled or exceeded that of matched controls by the third postinjury season.
Background: Free bone block (FBB) procedures for anterior shoulder instability have been proposed as an alternative to or bail-out for the Latarjet procedure. However, studies comparing the outcomes of these treatment modalities are limited. Purpose: To systematically review and perform a meta-analysis comparing the clinical outcomes of patients undergoing anterior shoulder stabilization with a Latarjet or FBB procedure. Study Design: Systematic review and meta-analysis; Level of evidence, 4. Methods: PubMed, Embase, and the Cochrane Library databases were systematically searched from inception to 2019 for human-participants studies published in the English language. The search was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement including studies reporting clinical outcomes of patients undergoing Latarjet or FBB procedures for anterior shoulder instability with minimum 2-year follow-up. Case reports and technique articles were excluded. Data were synthesized, and a random effects meta-analysis was performed to determine the proportions of recurrent instability, other complications, progression of osteoarthritis, return to sports, and patient-reported outcome (PRO) improvement. Results: A total of 2007 studies were screened; of these, 70 studies met the inclusion criteria and were included in the meta-analysis. These studies reported outcomes on a total of 4540 shoulders, of which 3917 were treated with a Latarjet procedure and 623 were treated with an FBB stabilization procedure. Weighted mean follow-up was 75.8 months (range, 24-420 months) for the Latarjet group and 92.3 months (range, 24-444 months) for the FBB group. No significant differences were found between the Latarjet and the FBB groups in the overall random pooled summary estimate of the rate of recurrent instability (5% vs 3%, respectively; P = .09), other complications (4% vs 5%, respectively; P = .892), progression of osteoarthritis (12% vs 4%, respectively; P = .077), and return to sports (73% vs 88%; respectively, P = .066). American Shoulder and Elbow Surgeons scores improved after both Latarjet and FBB, with a significantly greater increase after FBB procedures (10.44 for Latarjet vs 32.86 for FBB; P = .006). Other recorded PRO scores improved in all studies, with no significant difference between groups. Conclusion: Current evidence supports the safety and efficacy of both the Latarjet and FBB procedures for anterior shoulder stabilization in the presence of glenoid bone loss. We found no significant differences between the procedures in rates of recurrent instability, other complications, osteoarthritis progression, and return to sports. Significant improvement in PROs was demonstrated for both groups. Significant heterogeneity existed between studies on outcomes of the Latarjet and FBB procedures, warranting future high-quality, comparative studies.
Background: The purpose of this comprehensive review was to investigate risk factors associated with prolonged opioid use after orthopaedic procedures. A comprehensive review of the opioid literature may help to better guide preoperative management of expectations as well as opioid-prescribing practices. Methods: A systematic review of all studies pertaining to opioid use in relation to orthopaedic procedures was conducted using the MEDLINE, Embase, and CINAHL databases. Data from studies reporting on postoperative opioid use at various time points were collected. Opioid use and risk of prolonged opioid use were subcategorized by subspecialty, and aggregate data for each category were calculated. Results: There were a total of 1,445 eligible studies, of which 45 met inclusion criteria. Subspecialties included joint arthroplasty, spine, trauma, sports, and hand surgery. A total of 458,993 patients were included, including 353,330 (77%) prolonged postoperative opioid users and 105,663 (23%) non-opioid users. Factors associated with prolonged postoperative opioid use among all evaluated studies included body mass index (BMI) of ≥40 kg/m2 (relative risk [RR], 1.06 to 2.32), prior substance abuse (RR, 1.08 to 3.59), prior use of other medications (RR, 1.01 to 1.46), psychiatric comorbidities (RR, 1.08 to 1.54), and chronic pain conditions including chronic back pain (RR, 1.01 to 10.90), fibromyalgia (RR, 1.01 to 2.30), and migraines (RR, 1.01 to 5.11). Age cohorts associated with a decreased risk of prolonged postoperative opioid use were those ≥31 years of age for hand procedures (RR, 0.47 to 0.94), ≥50 years of age for total hip arthroplasty (RR, 0.70 to 0.80), and ≥70 years of age for total knee arthroplasty (RR, 0.40 to 0.80). Age cohorts associated with an increased risk of prolonged postoperative opioid use were those ≥50 years of age for sports procedures (RR, 1.11 to 2.57) or total shoulder arthroplasty (RR, 1.26 to 1.40) and those ≥70 years of age for spine procedures (RR, 1.61). Identified risk factors for postoperative use were similar across subspecialties. Conclusions: We provide a comprehensive review of the various preoperative and postoperative risk factors associated with prolonged opioid use after elective and nonelective orthopaedic procedures. Increased BMI, prior substance abuse, psychiatric comorbidities, and chronic pain conditions were most commonly associated with prolonged postoperative opioid use. Careful consideration of elective surgical intervention for painful conditions and perioperative identification of risk factors within each patient’s biopsychosocial context will be essential for future modulation of physician opioid-prescribing patterns. Level of Evidence: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
PurposeRecovery following elective knee arthroscopy can be compromised by prolonged postoperative opioid utilization, yet an effective and validated risk calculator for this outcome remains elusive. The purpose of this study is to develop and validate a machine‐learning algorithm that can reliably and effectively predict prolonged opioid consumption in patients following elective knee arthroscopy. MethodsA retrospective review of an institutional outcome database was performed at a tertiary academic medical centre to identify adult patients who underwent knee arthroscopy between 2016 and 2018. Extended postoperative opioid consumption was defined as opioid consumption at least 150 days following surgery. Five machine‐learning algorithms were assessed for the ability to predict this outcome. Performances of the algorithms were assessed through discrimination, calibration, and decision curve analysis. ResultsOverall, of the 381 patients included, 60 (20.3%) demonstrated sustained postoperative opioid consumption. The factors determined for prediction of prolonged postoperative opioid prescriptions were reduced preoperative scores on the following patient‐reported outcomes: the IKDC, KOOS ADL, VR12 MCS, KOOS pain, and KOOS Sport and Activities. The ensemble model achieved the best performance based on discrimination (AUC = 0.74), calibration, and decision curve analysis. This model was integrated into a web‐based open‐access application able to provide both predictions and explanations. ConclusionFollowing appropriate external validation, the algorithm developed presently could augment timely identification of patients who are at risk of extended opioid use. Reduced scores on preoperative patient‐reported outcomes, symptom duration and perioperative oral morphine equivalents were identified as novel predictors of prolonged postoperative opioid use. The predictive model can be easily deployed in the clinical setting to identify at risk patients thus allowing providers to optimize modifiable risk factors and appropriately counsel patients preoperatively. Level of evidenceIII.
Objectives: This study highlights demographics and orthopaedic injuries of electric scooter–related trauma that presented to our institution over a 27-month period. Design: Retrospective review. Setting: Urban Level 1 trauma center. Patients: Patients presenting to the emergency department, trauma bay, or outpatient clinic after electric scooter injury were identified from November 2017 through January 2020 using ICD-10 diagnosis codes. Main Outcomes: Patient charts were reviewed for demographics, injury characteristics, imaging, treatment, perioperative data, and Injury Severity Scores. Results: Four hundred eighty-five patients presented during the study period. Of these, 44% had orthopaedic injuries, including 30% with pelvis or extremity fractures. There were 21 (10%) polytraumatized patients in the orthopaedic cohort. The age ranged from 16 to 79 years (average 36 years), with 58% men, and 18% were visitors from out of town. Of 49 patients requiring orthopaedic surgery, 8 underwent surgery on an urgent basis. The average Injury Severity Score for orthopaedic patients was 8.4 with a median of 5.0 for nonoperative injuries versus a significantly higher median of 16.0 for operative injuries. Twenty-nine percent of patients were intoxicated and only 2% wore a helmet. Conclusions: Electric scooter injuries are increasing, and many patients sustain high-energy injuries. As electric scooter use continues to increase, the prevalence of orthopaedic injuries is also likely to rise. Further studies are needed to fully understand the impact scooter-related injuries have on individual patients and the health care system. Level of Evidence: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.