Risk Factors Associated With Prolonged Opioid Use After Revision Total Shoulder Arthroplasty.

INTRODUCTION: The purpose of this study was to determine which preoperative factors are associated with prolonged opioid use after revision total shoulder arthroplasty (TSA). METHODS: The M157Ortho PearlDiver database was used to identify patients undergoing revision TSA between 2010 and 2021. Opioid use for longer than 1 month after surgery was defined as prolonged opioid use. Postoperative opioid use from 1 to 3 months was independently assessed. Multivariable logistic regression was used to evaluate the association between preoperative patient-related risk factors (age, Charlson Comorbidity Index, sex, depression, anxiety, substance use disorder, opioid use between 12 months to 1 week of surgery, tobacco use, hypertension, diabetes mellitus, chronic obstructive pulmonary disease, osteoporosis, previous myocardial infarction, and chronic ischemic heart disease) with prolonged postoperative opioid use. Odds ratios (OR) and their associated 95% confidence intervals (CI) were calculated for each risk factor. RESULTS: A total 14,887 patients (mean age = 67.1 years) were included. Most of the patients were female (53.3%), and a large proportion were opioid familiar (44.1%). Three months after revision TSA, older age (OR = 0.96, CI 0.96 to 0.97) and male sex (OR = 0.90, CI 0.81 to 0.99) were associated with a decreased risk of prolonged postoperative opioid usage. Patients with preexisting depression (OR = 1.21, CI 1.08 to 1.35), substance use disorder (OR = 1.47, CI 1.29 to 1.68), opioid use (OR = 16.25, CI 14.27 to 18.57), and chronic obstructive pulmonary disorder (OR = 1.24, CI 1.07 to 1.42) were at an increased risk of prolonged postoperative opioid use. DISCUSSION: Older age and male sex were associated with a decreased risk of prolonged opioid use after revision TSA. Depression, substance use disorder, opioid familiarity, and COPD were associated with prolonged opioid use after revision TSA.

Older Age, Female Sex, Anxiety, Substance Use Disorder, Osteoarthritis, Tibial Tubercle Osteotomy, and Opioid Familiarity Are Risk Factors for Prolonged Opioid Use Following Medial Patellofemoral Ligament Reconstruction.

Purpose: To determine which preoperative factors are associated with prolonged opioid use after medial patellofemoral ligament reconstruction (MPFLR). Methods: The M151Ortho PearlDiver database was queried for patients who underwent MPFLR between 2010 and 2020. Inclusion criteria included patients who underwent MPFLR using Current Procedural Terminology codes 27420, 27422, and 27427 and had a patellar instability diagnosis. Prolonged opioid use was defined as opioid use greater than 1 month after surgery. Postoperative opioid use from 1 month to 6 months was assessed. Multivariable logistic regression was used to evaluate the association between patient-related risk factors (age, sex, Charlson Comorbidity Index, anxiety, depression, substance use disorder, osteoarthritis, tibial tubercle osteotomy [TTO], and previous opioid use within 3 months to 1 week of surgery) with prolonged postoperative opioid use. Odds ratios (OR) and their associated 95% confidence intervals (CI) were calculated for each risk factor. Results: A total of 23,249 patients were included. There was a higher proportion of female patients compared to male patients (67.8% vs 32.2%) in our cohort, as well as a large proportion of patients who had preoperative opioid use (23.9%). In total, 14.3% of patients had a concomitant TTO. Three months post-MPFLR, male patients were at a decreased risk of opioid usage (OR 0.75; CI 0.67-0.83; P ≤ .001). Older age (OR 1.01, CI 1.00-1.01; P ≤ .001), patients with pre-existing anxiety (OR 1.30, CI 1.15-1.47; P ≤ .001), substance use disorder (OR 2.04, CI 1.80-2.31; P ≤ .001), knee osteoarthritis (OR 1.70, CI 1.49-1.94; P ≤ .001), concomitant TTO (OR 1.91, CI 1.67-2.17; P ≤ .001), and opioid familiarity (OR 7.68, CI 6.93-8.52; P ≤ .001) were at a significantly increased risk of postoperative opioid usage. Conclusions: Older age, female sex, anxiety, substance use disorder, osteoarthritis, tibial tubercle osteotomy, and opioid familiarity are risk factors for prolonged opioid use following MPFLR. Level of Evidence: Level III, retrospective cohort study.

International Knee Documentation Committee (IKDC) Is the Most Responsive Patient Reported Outcome Measure After Meniscal Surgery.

Purpose: To report the variability in outcome measures after meniscal surgery and to compare responsiveness between patient-reported outcome measures (PROMs). Methods: A systematic search of the PubMed/MEDLINE and Web of Science databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A total of 257 studies met inclusion criteria. Patient and study attributes were extracted, including pre- and postoperative means for PROMs. Of the studies that met inclusion criteria for responsiveness analysis (2+ PROMs reported, 1-year minimum follow-up; n = 172), we compared the responsiveness between PROM instruments using effect size and relative efficiency (RE) if a PROM could be compared with another in at least 10 articles. Results: In total, 18,612 patients (18,690 menisci, mean age = 38.6 years, mean body mass index = 26.3) were included in this study. Radiographic measures were reported in 167 (65.0%) studies, range of motion was reported in 53 (20.6%) studies, and 35 different PROM instruments were identified. The mean number of PROMs in each article was 3.6 and 83.8% reported 2 or more PROMs. The most used PROMs were Lysholm (74.5%) and IKDC (51.0%). IKDC was found to be more responsive than other PROMs, which include Lysholm (RE = 1.03), Tegner (RE = 3.90), and Knee Injury and Osteoarthritis Outcome Score (KOOS) Activities of Daily Living (ADL) (RE = 1.12). KOOS Quality of Life (QoL) was also more responsive than other PROMs, such as IKDC (RE = 1.45) and KOOS ADL (RE = 1.48). Lysholm was more responsive compared with KOOS QoL (RE = 1.14), KOOS ADL (RE = 1.96), and Tegner (RE = 3.53). Conclusions: Our study found that IKDC, KOOS QoL, and Lysholm were the most responsive PROMs. However, because of the previously reported risks of either floor effects (KOOS QoL) or ceiling effects (Lysholm), the IKDC may offer a more complete psychometric profile when quantifying outcomes after meniscus procedures. Clinical Relevance: To improve clinical outcomes, surgical decision-making, and research methodology, it is important to determine which PROMs are the most responsive after meniscal surgery.

YouTube Is a Poor-Quality Source for Patient Information Regarding Patellar Dislocations.

Purpose: To evaluate the content and quality of YouTube videos concerning patellar dislocations. Methods: "Patellar dislocation" and "kneecap dislocation" were searched on the YouTube library. The Uniform Resource Locator of the first 25 suggested videos was extracted, for a total of 50 videos. The following variables were collected for each video: number of views, duration in minutes, video source/uploader, content type, days since upload, view ratio (views/day), and number of likes. Video source/uploader was categorized as academic, physician, nonphysician, medical source, patient, commercial, and other. The Journal of the American Medical Association (JAMA), Global Quality Scale (GQS), Patellar Dislocation Specific Score (PDSS), and DISCERN scores were used to assess each video. A series of linear regression models were used to explore relationships between each of these scores and the aforementioned variables. Results: The median video length was 4.11 minutes (interquartile range 2.07-6.03, range 0.31-53.56), and the total number of views for all 50 videos was 3,697,587 views. The mean overall JAMA benchmark score ± standard deviation was 2.56 ± 0.64, GQS: 3.54 ± 1.05, total PDSS: 5.76 ± 3.42. Physicians were the most common video source/uploader (42%). Academic sources had the greatest mean JAMA benchmark score (3.20), whereas nonphysician and physician sources had the greatest mean GQS scores (4.09 and 3.95, respectively). Videos uploaded by physicians had the greatest PDSS scores (7.5). Conclusions: The overall transparency, reliability, and content quality of YouTube videos on patellar dislocation measured by the JAMA benchmark score and PDSS, respectively, are poor. Additionally, the overall educational and video quality, as assessed by the GQS, was intermediate. Clinical Relevance: It is important to understand the quality of information patients receive on YouTube so providers can guide patients to greater-quality sources.

Injury Rates Remained Elevated in the Second National Football League Season After the Onset of the COVID-19 Pandemic.

Purpose: The purpose of this study was to compare the injury incidence of the 2018-2019 and 2020 National Football League (NFL) seasons with the 2021 season. Methods: Publicly released NFL weekly injury reports were queried to identify players listed as "out" or placed on injured reserve (IR) for at least 1 game in the 2018-2021 seasons. Injuries were then categorized into upper extremity, lower extremity, spine/core, and head. Incidence per 1,000 athlete exposures were calculated for each season, and proportions of injuries by position were calculated separately for the 2018-2019, 2020, and 2021 cohorts. Incidence rate ratios (IRR) were used to compare injury rates. Results: Overall injury incidence in the 2021 NFL season increased compared to the pre-COVID-19 seasons (2018-2019) in all anatomical zones except for the upper extremity (28.70 vs 23.09 per 1,000 exposures, IRR 1.24 [95% CI: 1.14-1.36]; P < .001). The injury rate remained elevated and further increased in 2021 compared to the 2020 season for all anatomical zones other than the spine/core [28.70 vs 21.64 per 1,000 exposures, IRR 1.33 (1.19-1.47); P < .001]. No significant difference existed during the early season (weeks 1-4); however, injury rates after week 4 increased in 2021 compared to both the 2018-2019 and 2020 seasons. Conclusions: The injury incidence in the 2021 season remained elevated and increased further compared to both the 2018-2019 and 2020 seasons. Traumatic injuries resulting in missed games increased despite return to a more traditional season since the beginning of the COVID-19 pandemic. The injury rates significantly increased in mid-season to late season. Level of Evidence: Level III, cross-sectional study.