Journal of Bone and Joint Surgery, American Volume最新文献

Background: Elective primary total hip and total knee arthroplasty (collectively, total joint arthroplasties [TJAs]) are commonly performed procedures that can reduce pain and improve function. TJAs are generally safe, but complications can occur. Although historically performed as inpatient procedures, TJAs are increasingly being performed in the outpatient setting. We sought to develop a scientifically acceptable cross-setting measure for evaluating care quality across inpatient and outpatient settings.

Methods: Using Medicare administrative claims and enrollment data for qualifying TJA patients, we respecified the Centers for Medicare & Medicaid Services (CMS) inpatient-only risk-standardized TJA complications measure to assess complication rates following elective primary TJAs performed in an inpatient or outpatient setting. We aligned inpatient and outpatient coding practices and used hierarchical logistic regression to calculate hospital-specific, risk-standardized complication rates (RSCRs). Lower rates correspond to better quality. Using accepted approaches for CMS measures, we tested measure reliability and vetted key measure decisions with patient and provider input.

Results: A single combined model including the procedure setting as a risk variable produced the highest discrimination (C-statistic for a single combined model with a setting indicator: 0.664, C-statistic for the inpatient-only model: 0.651, C-statistic for the outpatient-only model: 0.638). Among the 2,747 hospitals with at least 25 TJAs, the mean RSCR (using the combined model with a setting indicator) was 2.91% (median RSCR: 2.85%; interquartile range: 2.59% to 3.18%). The median odds ratio for complication occurrence at a higher-risk hospital compared with a lower-risk hospital was 1.33.

Conclusions: We respecified a measure to assess hospital inpatient or outpatient TJA performance and evaluated the reliability and validity of the measure. The findings showed variation in hospital-level complication rates across settings as indicated by this measure, supporting the feasibility of evaluating hospital performance using a more representative population than inpatient TJAs alone.

Level of evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Background: Telehealth visits (THVs) have made it essential to adopt innovative ways to evaluate patients virtually. This study validates a novel THV approach that uses educational videos and an instructional datasheet, enabling parents to use smartphones to measure their child's scoliosis at home or in telehealth settings.

Methods: We identified a prospective cohort of patients with adolescent idiopathic scoliosis (AIS) scheduled for follow-up care from March to July 2021. The angle of trunk rotation (ATR) was first measured at home by patients' guardians using instructional video guidance and a smartphone application with internal accelerometer software. The second measurement was made during a THV examination performed by caregivers with supervision by trained associates via a telehealth appointment. Lastly, the clinician measured the child's ATR during an in-person clinic visit. Intraclass correlation coefficients (ICCs) and interrater reliability were compared between in-person clinic measurements and (1) at-home and (2) THV measurements. Shoulder, lower back, and pelvic asymmetry were observed and quantified at home and virtually, and then were compared with in-person clinic evaluations using kappa values. Surveys were used to evaluate the experience of the patient/caregiver with the at-home and telehealth assessment tools.

Results: Seventy-three patients were included (mean age, 14.1 years; 25% male). There was excellent agreement in the ATR measurements between THVs and in-person visits (ICC = 0.88; 95% confidence interval [CI] = 0.83 to 0.92). ATR agreement between at-home and in-person visits was also excellent, but slightly diminished (ICC = 0.76; 95% CI = 0.64 to 0.83). Agreement between THV and in-person measurements was significantly higher compared with that between at-home and in-person measurements (p = 0.04). There was poor agreement in lower back asymmetry between THV and in-person assessments (kappa = 0.37; 95% CI = 0.14 to 0.60); however, there was no significant agreement between at-home and in-person assessments (kappa = 0.06; 95% CI = -0.17 to 0.29). Patient/caregiver satisfaction surveys (n = 70) reported a median score of 4 ("good") for comfort with use of the technology, and a score of 3 ("neutral") for equivalence of THV and in-person evaluation.

Conclusions: There was a high level of agreement between telehealth and in-person spine measurements, suggesting that THVs may be reliably used to evaluate AIS, thus improving access to specialized care.

Level of evidence: Diagnostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Background: Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; however, its reliability depends on the technical proficiency of the examiner. Recently, computer-aided diagnosis (CAD) using deep learning has been applied in the field of medical science, and high diagnostic accuracy has been reported. We aimed to develop a deep learning-based CAD system for OCD detection on ultrasound images and to evaluate the accuracy of OCD detection using the CAD system.

Methods: The CAD process comprises 2 steps: humeral capitellum detection using an object-detection algorithm and OCD classification using an image classification network. Four-directional ultrasound images of the elbow of the throwing arm of 196 baseball players (mean age, 11.2 years), including 104 players with normal findings and 92 with OCD, were used for training and validation. An external dataset of 20 baseball players (10 with normal findings and 10 with OCD) was used to evaluate the accuracy of the CAD system. A confusion matrix and the area under the receiver operating characteristic curve (AUC) were used to evaluate the system.

Results: Clinical evaluation using the external dataset resulted in high AUCs in all 4 directions: 0.969 for the anterior long axis, 0.966 for the anterior short axis, 0.996 for the posterior long axis, and 0.993 for the posterior short axis. The accuracy of OCD detection thus exceeded 0.9 in all 4 directions.

Conclusions: We propose a deep learning-based CAD system to detect OCD lesions on ultrasound images. The CAD system achieved high accuracy in all 4 directions of the elbow. This CAD system with a deep learning model may be useful for OCD screening during medical checkups to reduce the probability of missing an OCD lesion.

Level of evidence: Diagnostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Background: The purpose of this study was to explore the impact of social deprivation on preoperative characteristics and postoperative outcomes following hip arthroscopy (HA) for femoroacetabular impingement syndrome (FAIS).

Methods: Patients undergoing primary HA for FAIS were identified, and their social deprivation index (SDI) score was assigned on the basis of the provided ZIP code. Quartiles (Q1 to Q4) were established using national percentiles, with Q4 representing patients from the areas of greatest deprivation. Patient-reported outcomes (PROs) were collected preoperatively and at a minimum follow-up of 2 years. Achievement rates for clinically meaningful outcomes, including the minimal clinically important difference (MCID), patient acceptable symptom state (PASS), and substantial clinical benefit (SCB), were determined. The incidences of revision HA and conversion to total hip arthroplasty (THA) were recorded. SDI groups were compared with respect to preoperative characteristics and postoperative outcome measures. Predictors of MCID, PASS, and SCB achievement; revision HA; and conversion to THA were identified with use of multivariable logistic regression.

Results: In total, 2,060 hips were included, which had the following SDI distribution: Q1 = 955, Q2 = 580, Q3 = 281, and Q4 = 244. The composition of the included patients with respect to race and/or ethnicity was 85.3% Caucasian, 3.8% African American, 3.7% Hispanic, 1.7% Asian, and 5.4% "other." Patients with more social deprivation presented at a later age and with a higher body mass index (BMI), a longer duration of preoperative hip pain, and greater joint degeneration (p ≤ 0.035 for all). The most socially deprived groups had higher proportions of African American and Hispanic individuals, less participation in physical activity, and greater prevalences of smoking, lower back pain, and Workers' Compensation (p ≤ 0.018 for all). PRO scores and achievement of the PASS and SCB were worse among patients from areas of greater social deprivation (p ≤ 0.017 for all). Age, BMI, activity status, race and/or ethnicity classified as "other," SDI quartile, Workers' Compensation, preoperative back pain, duration of preoperative hip pain, and Tönnis grade were independent predictors of clinically meaningful outcome achievement, revision arthroscopy, and/or THA conversion (p ≤ 0.049 for all).

Conclusions: Individuals with more social deprivation demonstrated inferior postoperative outcome measures. This was driven primarily by preoperative characteristics such as SDI, hip pain duration, joint degeneration, and overall health at presentation. Despite differential outcomes, patients still showed clinical improvement regardless of SDI quartile.

Level of evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Background: Vice chairs (VCs) of research play an integral role in orthopaedic departments at academic medical centers; they strategically lead research efforts and support the research careers of faculty and trainees. To our knowledge, no analysis of orthopaedic VCs of research exists in the literature, and no similar analyses have been completed in other medical specialties. We aimed to investigate the academic and demographic characteristics of orthopaedic VCs of research.

Methods: Doximity was used to identify orthopaedic residencies in the U.S. Personal and program websites were queried to identify VCs of research and collect academic and demographic characteristics. The Scopus database, the National Institutes of Health (NIH) RePORTER, and Google Scholar were used to obtain each investigator's Hirsch index (h-index) and the number and type of NIH grants awarded, respectively.

Results: Of the 207 orthopaedic residency programs identified, 71 (34%) had a named VC of research in the orthopaedic department. Of the top 50 medical schools, 42 were affiliated with such programs. Most VCs were men (89%). The racial and/or ethnic background of the majority of VCs was White (85%), followed by Asian (14%), and Black (1%). Most held the rank of professor (78%), followed by associate professor (18%), and assistant professor (4%). Over half were PhDs (55%), followed by MDs (37%) and MD/PhDs (8%). On average, the VCs had an h-index of 40.5. Furthermore, 65% had been awarded at least 1 NIH grant for their research, with 43% awarded at least 1 R01 grant.

Conclusions: VCs of research develop research opportunities and shape the brand recognition of academic orthopaedic programs. Most orthopaedic VCs of research are men (89%); 85% each are White and have a rank of professor. Nearly half have been awarded at least 1 R01 grant from the NIH.

Clinical relevance: This study outlines important academic and demographic characteristics among orthopaedic surgery VCs of research. Considering the mentorship aspect of their role, VCs of research have an opportunity to influence the diversity of incoming trainees in the field of academic orthopaedics.

➢ Shoulder periprosthetic joint infection (PJI) is a potentially devastating complication after arthroplasty and is projected to rise with increasing numbers of performed arthroplasties, particularly reverse shoulder arthroplasties.➢ Important considerations for the diagnosis and treatment of shoulder PJI include age, sex, implant type, primary compared with revision shoulder surgery, comorbidities, and medications (i.e., corticosteroids and disease-modifying antirheumatic drugs). ➢ Diagnosis and management are unique compared with lower-extremity PJI due to the role of lower-virulence organisms in shoulder PJI, specifically Cutibacterium acnes.➢ Treatment pathways depend on chronicity of infection, culture data, and implant type, and exist on a spectrum from irrigation and debridement to multistage revision with temporary antibiotic spacer placement followed by definitive revision arthroplasty.

Background: The increasing accessibility of artificial intelligence (AI) text-to-image generators offers a novel avenue for exploring societal perceptions. The present study assessed AI-generated images to examine the representation of gender and racial diversity among orthopaedic surgeons.

Methods: Five prominent text-to-image generators (DALL·E 2, Runway, Midjourney, ImagineAI, and JasperArt) were utilized to create images for the search queries "Orthopedic Surgeon," "Orthopedic Surgeon's Face," and "Portrait of an Orthopedic Surgeon." Each query produced 80 images, resulting in a total of 240 images per generator. Two independent reviewers categorized race, sex, and age in each image, with a third reviewer resolving discrepancies. Images with incomplete or multiple faces were excluded. The demographic proportions (sex, race, and age) of the AI-generated images were then compared with those of the 2018 American Academy of Orthopaedic Surgeons (AAOS) census.

Results: In our examination across all AI platforms, 82.8% of the images depicted surgeons as White, 12.3% as Asian, 4.1% as Black, and 0.75% as other; 94.5% of images were men; and a majority (64.4%) appeared ≥50 years old. DALL·E 2 exhibited significantly increased diversity in representation of both women and non-White surgeons compared with the AAOS census, whereas Midjourney, Runway, and ImagineAI exhibited significantly decreased representation.

Conclusions: The present study highlighted distortions in AI portrayal of orthopaedic surgeon diversity, influencing public perceptions and potentially reinforcing disparities. DALL·E 2 and JasperArt show encouraging diversity, but limitations persist in other generators. Future research should explore strategies for improving AI to promote a more inclusive and accurate representation of the evolving demographics of orthopaedic surgery, mitigating biases related to race and gender.

Clinical relevance: This study is clinically relevant as it investigates the accuracy of AI-generated images in depicting diversity among orthopaedic surgeons. The findings reveal significant discrepancies in representation by race and gender, which could impact societal perceptions and exacerbate existing disparities in health care.

Background: The Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire and its abbreviated version, QuickDASH, are commonly used patient-reported outcome measures (PROMs) for the assessment of an upper-extremity disability. Theoretically, they can be used to compare the treatment outcomes of different upper-extremity conditions. Despite increasingly widespread use for some shoulder conditions, these questionnaires have not been rigorously validated for use to assess the outcomes of patients undergoing anatomic total shoulder arthroplasty (aTSA). The objective of this study was to validate the DASH and QuickDASH scores for a longitudinal outcome assessment of patients undergoing aTSA to treat advanced glenohumeral osteoarthritis (GHOA).

Methods: In this study, 450 patients with a median age of 70.3 years (interquartile range [IQR] width, 11.7 years) were included; 52.4% of the patients were female. The DASH and QuickDASH questionnaires, the American Shoulder and Elbow Surgeons (ASES) score, the Simple Shoulder Test (SST), and the EuroQol-5 Dimensions (EQ-5D) questionnaire were completed preoperatively and at follow-ups of 3 months, 6 to 12 months, and a minimum of 2 years by patients undergoing aTSA. The criterion validity, construct validity, reliability, and responsiveness of the DASH and QuickDASH were assessed.

Results: The DASH and QuickDASH scores demonstrated moderate to very strong correlations with the ASES scores (ρ = -0.83 to -0.62), SST scores (ρ = -0.73 to -0.55), and EQ-5D scores (ρ = -0.72 to -0.57); minimal floor or ceiling effects; internal consistency (Cronbach alpha > 0.80); and large Cohen d and standardized response means (<1.6) at all time points. Very strong positive correlations were observed between the DASH and QuickDASH scores at all time points (ρ = 0.96 to 0.97).

Conclusions: The DASH and QuickDASH scores, which are region-specific rather than shoulder-specific, are valid, reliable, and responsive PROMs for the evaluation of patients with advanced GHOA treated with aTSA. Therefore, the DASH and QuickDASH scores can be used to compare the outcomes of aTSA for the treatment of advanced GHOA with the outcomes of treatment of other upper-extremity disorders, potentially facilitating comparative cost-effectiveness and value analysis studies.

Level of evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.