Schmitz, Matthew R.

Abstract Background: Resilience, quantified by the brief resilience scale (BRS), has been recognized for its role in pain and symptomatology in musculoskeletal conditions. The role of psychological factors in the clinical presentation and outcomes of FAI surgery continues to be poorly understood. Methods: This is a prospective multicenter study of FAI patients undergoing primary hip arthroscopy. PROMs were administered at baseline, 3-, and 6-months post-op and included the Patient Reported Outcomes Measurement Information System (PROMIS) domains of anxiety and depression, as well as Hip Disability and Osteoarthritis and Outcome Score (HOOS), modified Harris Hip Score (mHHS), and International Hip Outcome Tool (iHOT-12). Resilience was characterized by BRS score and divided into low (“L”, score<3), normal (“N”, score 3-4.3), and high resilience (“H”, score>4.3). Results: 675 patients were included with a mean age of 24.9±7.8 years and female predominance (56%). Mean BRS scores were 3.7±0.7 (1.5-5.0). 13.8% (n=93) had low resilience, 65.9% (n=445) had normal resilience, and 20.3% (n=137) had high resilience. Lower resilience had more severe symptoms in HOOS pain (p<0.001), HOOS sports (p=0.003), HOOS ADL (p<0.001), HOOS QoL (p<0.001), iHOT-12 (p=0.002), and mHHS (p<0.001). Anxiety (L: 50.5%/N: 14.4%/H: 2.2%) and depression (L: 38.7%/N: 8.8%/H: 2.9%) were higher in lower resilience groups (all p<0.001) and this trend stayed consistent in female and male sub-analyses with females having greater anxiety and depression symptoms. The follow-up cohort with 3- and 6-months follow-up was 487 patients and had similar baseline characteristics as the baseline cohort. Lower resilience had lower postoperative PROs (with similar change) (p<0.05). After treatment, rates of anxiety or depression decreased from 22.1% to 15.6% with the low resilience group having the highest change from 62.9% to 45.9%. Conclusion: Low resilience correlates with more severe symptoms and predicts anxiety/depression in FAI. 13.8% had low resilience while 20.3% had high resilience. Lower resilience had worse postoperative PROs. Particularly in patients with low resilience at presentation, rates of anxiety or depression symptoms decreased postoperatively. Further studies are needed to understand the role of resilience in longer-term outcomes of FAI and whether concurrent psychological treatment will help improve patient outcomes after hip arthroscopy for FAI.

Objectives: The role of psychological factors in the clinical presentation and outcomes of treated is increasingly recognized in orthopaedic surgery. Particularly, in prearthritic hip disorders, young adult hip patients often have significant psychological undertones. Patient resiliency, as quantified by the brief resiliency scale (BRS), is a static patient characteristic and has been increasingly recognized for its potential role in pain and symptomatology. The purpose of the current study was to investigate the correlation between BRS and traditional hip patient-reported outcome measures (PROMs). Methods: A prospective multicenter cohort study of 696 patients undergoing femoroacetabular impingement (FAI) primary hip arthroscopy surgery was performed and utilized for the current study. Inclusion criteria are patients aged 14 to 45 years old with idiopathic FAI not caused by childhood disease. Exclusion criteria are previous ipsilateral hip procedures or disease processes such as neuromuscular disease or high-grade osteoarthritis. PROMs included the Patient-Reported Outcomes Measurement Information System (PROMIS) domains of pain interference, physical function, mobility, anxiety, and depression, as well as hip disability and osteoarthritis and outcome score (HOOS), modified Harris hip score (mHHS), international hip outcome tool (iHOT-12), and short form-12 (SF-12). Resiliency was divided into low resiliency (score < 3), normal resiliency (score 3 to 4.3), and high resiliency (score > 4.3) as described by Smith et al 1 to use as categorical variables to compare to the other patient-reported scores. The Pearson correlation coefficient (r) was calculated and the Kruskall Willis test was used to measure association between BRS and the other PROMs for continuous and categorical values, respectively. R values ≥0.7, ≥0.4, and ≥0.1 signify a strong, moderate, and weak correlation, respectively. For categorical analysis, P values < 0.05 were considered significant. Results: The cohort of 696 patients had mean age was 24.9 ± 7.9 years and a female predominance at 56%. Average BRS scores were 3.7 ± 0.7. Overall, 13.7% of patients had low resiliency, while 65.8% had normal resiliency and 20.5% had high resiliency. Linear correlation, using Pearson coefficients, found associations between BRS and all other scores. There were only weak associations between BRS scores and PROs (all r < 0.25) except a moderate correlation with PROMIS depression (r = -0.476, p < 0.001) and PROMIS anxiety (r = -0.481, p < 0.001). Patients in higher resiliency groups reported less severe symptoms in HOOS – quality of life (p < 0.001), HOOS – sports and recreation (p = 0.004), HOOS – activities of daily living (p = 0.004), HOOS – pain (p = 0.026), iHOT-12 (p = 0.01), mHHS (p = 0.004), SF-12 mental (p < 0.001), PROMIS physical function (p = 0.003), PROMIS pain (p < 0.001), PROMIS mobility (p < 0.001), PROMIS depression (p < 0.001), and PROMIS anxiety (p < 0.001). Patients with higher activity levels (UCLA ≥9) demonstrated higher resiliency (p = 0.04). Conclusions: In FAI patients, patient resiliency appears to influence baseline PROs. Overall, 14% of patients had low resiliency while 21% had high resiliency. Further studies are needed to investigate this relationship and whether concurrent psychological treatment will help improve patient outcomes after hip arthroscopy for FAI. [Figure: see text]

Background/Objective: To share technical pearls of a basic knee arthroscopy in a pediatric patient by presenting tips and tricks used by experienced pediatric arthroscopists. Indications: Knee arthroscopy is a common procedure performed by most orthopedic surgeons. However, technical considerations and equipment should be considered before performing this procedure in a pediatric patient. This video provides information on indications, equipment, and patient positioning, as well as outlining a systematic approach to diagnostic arthroscopy and pertinent pediatric anatomy. Discussion/Conclusion: This video provides an excellent overview as well as specific pathology-dependent considerations for the inexperienced orthopedic surgeon, or the orthopedic surgeon who rarely performs knee arthroscopy. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.

Background: Patient-reported outcomes (PROs) measure progression and quality of care. While legacy PROs such as the International Knee Documentation Committee (IKDC) survey are well-validated, a lengthy PRO creates a time burden on patients, decreasing adherence. In recent years, PROs such as the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function and Pain Interference surveys were developed as computer adaptive tests, reducing time to completion. Previous studies have examined correlation between legacy PROs and PROMIS; however, no studies have developed effective prediction models utilizing PROMIS to create an IKDC index. While the IKDC is the standard knee PRO, computer adaptive PROs offer numerous practical advantages. Purpose: To develop a nonlinear predictive model utilizing PROMIS Physical Function and Pain Interference to estimate IKDC survey scores and examine algorithm sensitivity and validity. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: The MOTION (Military Orthopaedics Tracking Injuries and Outcomes Network) database is a prospectively collected repository of PROs and intraoperative variables. Patients undergoing knee surgery completed the IKDC and PROMIS surveys at varying time points. Nonlinear multivariable predictive models using Gaussian and beta distributions were created to establish an IKDC index score, which was then validated using leave-one-out techniques and minimal clinically important difference analysis. Results: A total of 1011 patients completed the IKDC and PROMIS Physical Function and Pain Interference, providing 1618 complete observations. The algorithms for the Gaussian and beta distribution were validated to predict the IKDC (Pearson = 0.84-0.86; R 2 = 0.71-0.74; root mean square error = 9.3-10.0). Conclusion: The publicly available predictive models can approximate the IKDC score. The results can be used to compare PROMIS Physical Function and Pain Interference against historical IKDC scores by creating an IKDC index score. Serial use of the IKDC index allows for a lower minimal clinically important difference than the conventional IKDC. PROMIS can be substituted to reduce patient burden, increase completion rates, and produce orthopaedic-specific survey analogs.

Abstract Introduction Musculoskeletal injuries are an endemic amongst U.S. Military Service Members and significantly strain the Department of Defense’s Military Health System. The Military Health System aims to provide Service Members, military retirees, and their families the right care at the right time. The Military Orthopedics Tracking Injuries and Outcomes Network (MOTION) captures the data that can optimize musculoskeletal care within the Military Health System. This report provides MOTION structural framework and highlights how it can be used to optimize musculoskeletal care. Materials and Methods MOTION established an internet-based data capture system, the MOTION Musculoskeletal Data Portal. All adult Military Health System patients who undergo orthopedic surgery are eligible for entry into the database. All data are collected as routine standard of care, with patients and orthopedic surgeons inputting validated global and condition-specific patient reported outcomes and operative case data, respectively. Patients have the option to consent to allow their standard of care data to be utilized within an institutional review board approved observational research study. MOTION data can be merged with other existing data systems (e.g., electronic medical record) to develop a comprehensive dataset of relevant information. In pursuit of enhancing musculoskeletal injury patient outcomes MOTION aims to: (1) identify factors which predict favorable outcomes; (2) develop models which inform the surgeon and military commanders if patients are behind, on, or ahead of schedule for their targeted return-to-duty/activity; and (3) develop predictive models to better inform patients and surgeons of the likelihood of a positive outcome for various treatment options to enhance patient counseling and expectation management. Results This is a protocol article describing the intent and methodology for MOTION; thus, to date, there are no results to report. Conclusions MOTION was established to capture the data that are necessary to improve military medical readiness and optimize medical resource utilization through the systematic evaluation of short- and long-term musculoskeletal injury patient outcomes. The systematic enhancement of musculoskeletal injury care through data analyses aligns with the National Defense Authorization Act (2017) and Defense Health Agency’s Quadruple Aim, which emphasizes optimizing healthcare delivery and Service Member medical readiness. This transformative approach to musculoskeletal care can be applied across disciplines within the Military Health System.