Orthopedic surgery in Palau-Current capacity, needs, and future directions.

BACKGROUND: Palau, an island nation in Micronesia, is a medically underserved area with a shortage of specialty care services. Orthopedic diagnoses in Palau remain among the three most common reasons for costly off-island medical referral. The purpose of this study was to assess Palau's current orthopedic surgery capacity and needs to inform interventions to build capacity to improve care access and quality. METHODS: Orthopedic needs and capacity assessment tools developed by global surgical outreach experts were utilized to gather information and prompt discussions with a broad range of Palau's most knowledgeable stakeholders (n = 6). Results were reported descriptively. RESULTS: Finance, community impact, governance, and professional development were the lowest-scored domains from the Capacity Assessment Tool for orthopedic surgery (CAT-os), indicating substantial opportunity to build within these domains. According to administrators (n = 3), governance and finance were the greatest capacity-building priorities, followed by professional development and partnership. Belau National Hospital (BNH) had adequate surgical infrastructure. Skin grafting, soft tissue excision/resection, infection management, and amputation were the most commonly selected procedures by stakeholders reporting orthopedic needs. CONCLUSIONS: This study utilizes a framework for orthopedic capacity-building in Palau which may inform partnership between Palau's healthcare system and orthopedic global outreach organizations with the goal of improving the quality, safety, and value of the care delivered. This demonstration of benchmarking, implementation planning, and subsequent re-evaluation lays the foundation for the understanding of capacity-building and may be applied to other medically underserved areas globally to improve access to high-quality orthopedic care.

Pregnancy and infertility in orthopedics: A review of the current state.

BACKGROUND: Orthopedic surgery continues to have one of the lowest rates of female trainees among all medical specialties in the United States. Barriers to pursuing a surgical residency include the challenges of family planning and work-life balance during training. METHODS: A systematic literature search of articles published between June 2012 and December 2022 in the MEDLINE, EMBASE, and Cochrane databases was performed in January 2023 according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). Studies were included if they evaluated pregnancy and peripartum experience and/or outcomes amongst orthopedic surgeons or trainees. RESULTS: Eighteen studies were included. Up to 67.3% of female orthopedic surgeons and trainees and 38.7% of their male counterparts delayed childbearing during residency. The most reported reasons for this delay included career choice as an orthopedic surgeon, residency training, and reputational concerns among faculty or co-residents. Infertility ranged from 17.0% to 30.4% in female orthopedic surgeons and up to 31.2% suffered obstetric complications. Assisted Reproductive Technology (ART) resulted in 12.4%-56.3% of successful pregnancies. Maternity and paternity leaves ranged from 1 to 11 weeks for trainees with more negative attitudes associated with maternal leave. CONCLUSIONS: Female orthopedic trainees and attending delay childbearing, experience higher rates of obstetric complications, and more stigma associated with pregnancy compared to their male colleagues. Program and institutional policies regarding maternity and paternity leave are variable across programs, and therefore, attention should be directed toward standardizing policies.

Effectiveness of Virtual Reality-Based Rehabilitation Interventions in Improving Postoperative Outcomes for Orthopedic Surgery Patients.

PURPOSE OF REVIEW: The surge in orthopedic surgeries strains the US healthcare system, necessitating innovative rehabilitation solutions. This review examines the potential of virtual reality (VR)-based interventions for orthopedic rehabilitation. RECENT FINDINGS: The effectiveness of VR-based interventions in orthopedic surgery patients is scrutinized. While some studies suggest better patient-reported outcomes and satisfaction, mixed results emerge from others, demonstrating comparable or varied results compared to traditional rehabilitation. The underlying mechanisms of VR-based rehabilitation are elucidated, showing its positive impact on proprioception, pain management, agency, and balance. Challenges of unfamiliarity, patient engagement, and drop-out rates are identified, emphasizing the need for tailored approaches. VR technology's immersive environments and multisensory experiences offer a novel approach to addressing functional deficits and pain post-surgery. The conclusion drawn is that VR-based rehabilitation complements rather than replaces conventional methods, potentially aiding in pain reduction and functional improvement. VR-based rehabilitation holds promise for enhancing orthopedic surgery outcomes, presenting a dynamic approach to recovery. Its potential to reshape healthcare delivery and reimbursement structures underscores its significance in modern healthcare. Overall, VR-based rehabilitation offers a promising avenue for optimizing postoperative recovery in orthopedic surgery patients.

Incorporating preoperative frailty to assist in early prediction of postoperative pneumonia in elderly patients with hip fractures: an externally validated online interpretable machine learning model.

BACKGROUND: This study aims to implement a validated prediction model and application medium for postoperative pneumonia (POP) in elderly patients with hip fractures in order to facilitate individualized intervention by clinicians. METHODS: Employing clinical data from elderly patients with hip fractures, we derived and externally validated machine learning models for predicting POP. Model derivation utilized a registry from Nanjing First Hospital, and external validation was performed using data from patients at the Fourth Affiliated Hospital of Nanjing Medical University. The derivation cohort was divided into the training set and the testing set. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression were used for feature screening. We compared the performance of models to select the optimized model and introduced SHapley Additive exPlanations (SHAP) to interpret the model. RESULTS: The derivation and validation cohorts comprised 498 and 124 patients, with 14.3% and 10.5% POP rates, respectively. Among these models, Categorical boosting (Catboost) demonstrated superior discrimination ability. AUROC was 0.895 (95%CI: 0.841-0.949) and 0.835 (95%CI: 0.740-0.930) on the training and testing sets, respectively. At external validation, the AUROC amounted to 0.894 (95% CI: 0.821-0.966). The SHAP method showed that CRP, the modified five-item frailty index (mFI-5), and ASA body status were among the top three important predicators of POP. CONCLUSION: Our model's good early prediction ability, combined with the implementation of a network risk calculator based on the Catboost model, was anticipated to effectively distinguish high-risk POP groups, facilitating timely intervention.

Medication-based profiling of older orthopedic patients: a multicenter cross-sectional study.

BACKGROUND: Managing medication use in older orthopedic patients is imperative to extend their healthy life expectancy in an aging society. However, the actual situation regarding polypharmacy, the intake of potentially inappropriate medications (PIMs), and fall risk-increasing drugs (FRIDs) among older orthopedic patients is not well characterized. This study aimed to investigate the medication-based profiles of older orthopedic patients to highlight the critical points of concern. METHODS: We retrospectively reviewed the clinical data of consecutive patients aged ≥ 65 years who underwent orthopedic surgery at two acute care hospitals between April 2020 and March 2021. The cutoff number of prescribed drugs for polypharmacy was set at 6. According to the specified guidelines, 19 categories of drugs were identified as PIMs, and 10 categories were classified as FRIDs. RESULTS: A total of 995 older patients with orthopedic surgery were assessed, of which 57.4% were diagnosed with polypharmacy, 66.0% were receiving PIMs, and 41.7% were receiving FRIDs. The prevalence of FRID intake did not significantly differ among patients with degenerative spinal disease (n = 316), degenerative disease of extremities (n = 331), and fractures (n = 272). Compared with patients with degenerative disease of the extremities, the multivariable-adjusted prevalence ratios (PRs) of polypharmacy and PIM intake were significantly higher in patients with degenerative spinal disease (1.26 [confidence intervals (CI): 1.11-1.44] and 1.12 [CI: 1.00-1.25]), respectively. Use of antiemetic drugs (adjusted PR, 13.36; 95% CI: 3.14-56.81) and nonsteroidal anti-inflammatory drugs (adjusted PR, 1.37; 95% CI: 1.05-1.78) was significantly higher in patients with degenerative spinal disease. Among patients with degenerative spinal disease, the prevalence of antiemetic drug intake was 8.7% in lumbar spinal patients and 0% in cervical spinal patients. CONCLUSIONS: More than half of the orthopedic patients in this study were affected by polypharmacy, and approximately two-thirds were prescribed some form of PIMs. Patients with degenerative spinal disease showed a significantly higher prevalence of polypharmacy and PIM use compared with other orthopedic diseases. Particular attention should be paid to the high frequency of antiemetic drugs and nonsteroidal anti-inflammatory drugs intake among patients with degenerative lumbar spine conditions.

The predominant insertion of the ischiofemoral ligament is a merging to the iliofemoral ligament as demonstrated on magnetic resonance arthrogram studies.

BACKGROUND: The capsular ligaments at the hip joint work in synchrony with the acetabulum and femoral head for articular stability. There is a lack of understanding about ischiofemoral ligament (ISFL) anatomy and function. PURPOSE: To assess the insertion of the ISFL in non-arthritic adult hips. MATERIAL AND METHODS: A retrospective analysis was performed in 72 patients who underwent magnetic resonance arthrogram (MRA) for the assessment of hip pain. The distribution of the ISFL components, the thickness, and the insertion site were assessed by concomitantly using the axial oblique, coronal, and sagittal MRA images. RESULTS: Two insertions of the ISFL anterior to the center of the femoral head were identified in 71 (99%) hips: (i) predominant anterior merging with the iliofemoral ligament as continuation of zona orbicularis, observed in all hips; and (ii) anterolateral junction of femoral neck and greater trochanter. Two ISFL parts (proximal and distal) were identified in 70 (97%) of the 72 studied hips. The proximal part was always thinner (mean 2.6 ± 0.7 mm) and originated from the ischium at the acetabular rim. The distal part was a continuation of the zona orbicularis, and the mean thickness was 6.7 ± 1.6 mm. Both parts merged as they coursed over the superior portion of the femoral head. CONCLUSION: The predominant insertion of the ischiofemoral ligament is a merging to the iliofemoral ligament anteriorly. Surgical procedures such as hip arthroscopy involving the ISFL will affect the function of the iliofemoral ligament, and vice versa.

Depletion of b-series ganglioside prevents limb length discrepancy after growth plate injury.

INTRODUCTION: Growth plate damage in long bones often results in progressive skeletal growth imbalance and deformity, leading to significant physical problems. Gangliosides, key glycosphingolipids in cartilage, are notably abundant in articular cartilage and regulate chondrocyte homeostasis. This suggests their significant roles in regulating growth plate cartilage repair. METHODS: Chondrocytes from 3 to 5 day-old C57BL/6 mice underwent glycoblotting and mass spectrometry. Based on the results of the glycoblotting analysis, we employed GD3 synthase knockout mice (GD3-/-), which lack b-series gangliosides. In 3-week-old mice, physeal injuries were induced in the left tibiae, with right tibiae sham operated. Tibiae were analyzed at 5 weeks postoperatively for length and micro-CT for growth plate height and bone volume at injury sites. Tibial shortening ratio and bone mineral density were measured by micro-CT. RESULTS: Glycoblotting analysis indicated that b-series gangliosides were the most prevalent in physeal chondrocytes among ganglioside series. At 3 weeks, GD3-/- exhibited reduced tibial shortening (14.7 ± 0.2 mm) compared to WT (15.0 ± 0.1 mm, P = 0.03). By 5 weeks, the tibial lengths in GD3-/- (16.0 ± 0.4 mm) closely aligned with sham-operated lengths (P = 0.70). Micro-CT showed delayed physeal bridge formation in GD3-/-, with bone volume measuring 168.9 ± 5.8 HU at 3 weeks (WT: 180.2 ± 3.2 HU, P = 0.09), but normalizing by 5 weeks. CONCLUSION: This study highlights that GD3 synthase knockout mice inhibit physeal bridge formation after growth plate injury, proposing a new non-invasive approach for treating skeletal growth disorders.

Trends in inpatient orthopedic surgery during the COVID-19 pandemic in Japan: a nationwide data study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has resulted in substantial morbidity and mortality globally. The National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) covers 99.9% of health insurance claim receipts by general practitioners. The purpose of this study is to investigate the nationwide number of inpatient orthopedic surgeries in Japan during the effect of state of emergency (SoE) due to COVID-19. METHOD: The NDB has been publicly available since 2014. We retrospectively reviewed the NDB from April 2019 to March 2022. We gathered the monthly number of all inpatient orthopedic surgeries. We also classified orthopedic surgeries into the following 11 categories by using K-codes, Japanese original surgery classification: fracture, arthroplasty, spine, arthroscopy, hardware removal, hand, infection/amputation, ligament/tendon, tumor, joint, and others. By using the average number from April to December 2019 as the reference period, we investigated the increase or decrease orthopedic surgeries during the pandemic period. RESULTS: The NDB showed that the average number of total inpatient orthopedic surgeries during the reference period was 115,343 per month. In May 2020, monthly inpatient orthopedic surgeries decreased by 29.6% to 81,169 surgeries, accounting for 70.3% of the reference period. The second SoE in 2021 saw no change, while the third and fourth SoEs showed slight decreases compared to the reference period. Hardware removal and tumor surgeries in May 2020 decreased to 45.3% and 45.5%, respectively, while fracture surgeries had relatively small decreases. CONCLUSION: According to NDB, approximately 1.3 million orthopedic inpatient surgeries were performed or claimed in a year in Japan. In May 2020, the first SoE period of the COVID-19 pandemic, the number of inpatient orthopedic surgeries in Japan decreased by 30%. Meanwhile, the decrease was relatively small during the SoE periods in 2021.

Assessing the Reproducibility of the Structured Abstracts Generated by ChatGPT and Bard Compared to Human-Written Abstracts in the Field of Spine Surgery: Comparative Analysis.

BACKGROUND: Due to recent advances in artificial intelligence (AI), language model applications can generate logical text output that is difficult to distinguish from human writing. ChatGPT (OpenAI) and Bard (subsequently rebranded as "Gemini"; Google AI) were developed using distinct approaches, but little has been studied about the difference in their capability to generate the abstract. The use of AI to write scientific abstracts in the field of spine surgery is the center of much debate and controversy. OBJECTIVE: The objective of this study is to assess the reproducibility of the structured abstracts generated by ChatGPT and Bard compared to human-written abstracts in the field of spine surgery. METHODS: In total, 60 abstracts dealing with spine sections were randomly selected from 7 reputable journals and used as ChatGPT and Bard input statements to generate abstracts based on supplied paper titles. A total of 174 abstracts, divided into human-written abstracts, ChatGPT-generated abstracts, and Bard-generated abstracts, were evaluated for compliance with the structured format of journal guidelines and consistency of content. The likelihood of plagiarism and AI output was assessed using the iThenticate and ZeroGPT programs, respectively. A total of 8 reviewers in the spinal field evaluated 30 randomly extracted abstracts to determine whether they were produced by AI or human authors. RESULTS: The proportion of abstracts that met journal formatting guidelines was greater among ChatGPT abstracts (34/60, 56.6%) compared with those generated by Bard (6/54, 11.1%; P<.001). However, a higher proportion of Bard abstracts (49/54, 90.7%) had word counts that met journal guidelines compared with ChatGPT abstracts (30/60, 50%; P<.001). The similarity index was significantly lower among ChatGPT-generated abstracts (20.7%) compared with Bard-generated abstracts (32.1%; P<.001). The AI-detection program predicted that 21.7% (13/60) of the human group, 63.3% (38/60) of the ChatGPT group, and 87% (47/54) of the Bard group were possibly generated by AI, with an area under the curve value of 0.863 (P<.001). The mean detection rate by human reviewers was 53.8% (SD 11.2%), achieving a sensitivity of 56.3% and a specificity of 48.4%. A total of 56.3% (63/112) of the actual human-written abstracts and 55.9% (62/128) of AI-generated abstracts were recognized as human-written and AI-generated by human reviewers, respectively. CONCLUSIONS: Both ChatGPT and Bard can be used to help write abstracts, but most AI-generated abstracts are currently considered unethical due to high plagiarism and AI-detection rates. ChatGPT-generated abstracts appear to be superior to Bard-generated abstracts in meeting journal formatting guidelines. Because humans are unable to accurately distinguish abstracts written by humans from those produced by AI programs, it is crucial to exercise special caution and examine the ethical boundaries of using AI programs, including ChatGPT and Bard.

Revision Rotator Cuff Repair Versus Primary Repair: An Assessment of Longitudinal Outcomes Outcomes in Revision Rotator Cuff Repair.

BACKGROUND: Information about outcomes after revision rotator cuff repair (RCR) is limited. A more thorough investigation of pain, range of motion (ROM), strength, and functional outcomes is needed. Comparing outcomes between primary and revision rotator cuff repair patients can help surgeons guide patient expectations of the revision procedure. The aim of this study was to compare the outcomes of a revision repair group to a control group of primary RCR patients. We expect revision RCR patients to have worse clinical outcomes than primary RCR patients. METHODS: A retrospective review of patients who underwent primary or revision RCR between 2012 to 2020 was performed. The case group included 104 revision patients, and the control group included 414 primary RCR patients. Patient visual analog score (VAS) for pain, ROM, strength, Simple Shoulder Test (SST), American Shoulder and Elbow Surgeons (ASES), and Constant-Murley scores were collected at baseline, 12 months, 24 months, and final follow-up. RESULTS: The average final follow-up was 43.9 months for primary patients and 63.8 months for revision patients. 352 primary patients and 55 revision patients had a final follow-up of 2 or more years. By final follow-up, primary patients had less pain than revision patients (Δ of 2.11, P < .0001), but both groups improved overall. Primary patients had significant improvements in forward flexion, external rotation, internal rotation, and abduction at 2 years that were lost by final follow-up, but revision patients did not experience any long-term improvement in ROM. These differences in ROM between groups were not significant. Supraspinatus strength in the revision group did not improve nor decline by final follow-up. By final follow-up, both primary and revision patients had improved SST and ASES scores from baseline. Primary patient ASES scores were 17.9 points higher (P < .0001) than revision patients by final follow-up, and there was no difference between groups in SST scores at this time. CONCLUSION: Revision RCR significantly improves patient pain, SST score, and ASES score at 4 years. Revision patients should not expect to see the improvements in range of motion that may occur after primary repair.

Consensus on the preoperative management of patients with chronic moderate to severe shoulder pain to improve postoperative outcomes: Delphi results.

BACKGROUND: Appropriate preoperative management of patients with chronic moderate to severe shoulder pain who are candidates for surgery owing to rotator cuff disease or glenohumeral osteoarthritis may improve surgery and patient outcomes, but published evidence in this regard is scarce. Therefore, the availability of recommendations on preoperative interventions based on expert consensus may serve as guidance. METHODS: A Delphi study was conducted to develop a preoperative management algorithm based on a national expert consensus. A Delphi questionnaire was developed by a scientific committee following a systematic review of the relevant literature published during the past 10 years using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) criteria. It consisted of 48 statements divided into 5 blocks (block I, assessment and diagnosis of preoperative pain; block II, preoperative function and psychosocial aspects; block III, therapeutic objectives; block IV, treatment; and block V, follow-up and referral), and 28 experienced shoulder surgeons from across the country were invited to answer. RESULTS: All participants responded to the Delphi questionnaire in the first round, and 25 responded in the second round (89.3% of those invited). Overall, 46 of 49 final statements reached a consensus, on the basis of which a final preoperative management algorithm was defined by the scientific committee. First, surgeons should assess shoulder pain intensity and characteristics, shoulder functionality, and psychosocial aspects using specific validated questionnaires. Preoperative therapeutic objectives should include shoulder pain control, depression and/or nocturnal sleep improvement, opioid consumption adjustment, and substance abuse cessation. Postoperative objectives regarding the degree of shoulder pain reduction or improvement in functionality and/or quality of life should be established in agreement with the patient. Treatment of preoperative chronic moderate to severe shoulder pain should comprise nonpharmacologic as well as pharmacologic interventions. Follow-up of the shoulder pain levels, treatment adherence, and mental health status of these patients may be carried out by the surgical team (surgeon and anesthesiologist) together with the primary care team. Patients with very intense shoulder pain levels may be referred to a pain unit following specific protocols. CONCLUSION: A preoperative management algorithm for patients with chronic moderate to severe shoulder pain who are candidates for surgery owing to rotator cuff disease or glenohumeral osteoarthritis was defined based on a national expert consensus. Main points include comprehensive patient management starting with an objective assessment of shoulder pain and function, as well as quality of life; establishment of preoperative and postoperative therapeutic targets; prescription of individualized therapeutic interventions; and multidisciplinary patient follow-up. Implementation of these recommendations into clinical practice may result in better preoperative shoulder pain management and more successful surgical outcomes and patient satisfaction.

Predicting academic productivity among American Shoulder and Elbow Surgeons fellowship faculty from publications acquired before and during surgical training.

BACKGROUND: Orthopedic residency and fellowship applicants with a strong research record are highly valued for their potential in continuing academic excellence. Despite this, the association between research productivity during training and future academic productivity as an attending orthopedic surgeon is not well-established. We assess the effects of research output during different periods of surgical training as well as residency location on long-term academic productivity as an attending shoulder and elbow surgeon. METHODS: A search of the 2022-2023 American Shoulder and Elbow Surgeons Fellowship Directory was conducted to identify a list of orthopedic shoulder and elbow fellowship faculty members. Each surgeon's residency, fellowship and current institution of practice were determined and stratified by geographic location. Total publication counts acquired before residency, during residency, during fellowship, and after fellowship were collected for each faculty member. Attending publication rates and H-indices were calculated. A multivariate linear regression model was created, and significance was set at a P value <.05. RESULTS: A total of 149 shoulder and elbow fellowship faculty members representing 34 fellowship programs were identified. The average number of total publications per surgeon was 88.8 ± 102. The average attending publication rate was 5.29 ± 6.89 publications per year. The average H-index for included surgeons was 27.8 ± 24.4. The number of publications acquired before residency (ß = 0.293; P < .001), during residency (ß = 0.110; P = .025) and during fellowship (ß = 0.593; P < .001) were significantly associated with an increased attending publication rate, but no association was observed with the H-index [before residency (ß = -0.221; P = .574), during residency (ß = 0.045; P = .866), during fellowship (ß = 0.198; P = .678)]. There were no significant differences in total publication count (P = .397), attending publication rate (P = .237), or H-index (P = .364) based on location of residency training. DISCUSSION: Research output before and during surgical training is predictive of continued academic productivity as a shoulder and elbow surgeon. In particular, greater productivity during surgical fellowship was most predictive of academic output as an attending. While long-term academic productivity does not seem to be influenced by the geographic location of residency training, attending surgeons practicing in the Midwest had significantly greater total publication counts and H-indices but similar annual publication rates.

Racial and Ethnic Disparity in Shoulder Surgery: A Systematic Review.

BACKGROUND: Healthcare disparity exists in utilization and delivery of musculoskeletal care and continues to be an obstacle for orthopedic healthcare providers to mitigate. Racial and ethnic disparities exist within various surgical fields including orthopedic surgery and are expected to continue to rise in upcoming years. The aim of this systematic review is to analyze the racial and ethnic disparities on utilization and outcomes after common shoulder surgical procedures. QUESTIONS/PURPOSE: Are there racial or ethnic disparities in outcomes and utilization of shoulder surgeries? Is there evidence to explain the etiology underlying the differences in outcomes among racial and ethnic groups after shoulder surgery? PATIENTS/METHODS: A primary literature search was performed using PubMed, Embase, Cochrane Central Register of Controlled Trials, and Clinicaltrials.gov databases using comprehensive Medical Subject Headings and subject-heading search terms. Studies were included if they reported utilization and or outcomes across two or more racial/ethnic groups in patients (age >16) who underwent shoulder arthroplasty (TSA), rotator cuff repair (RCR), arthroscopic Bankart repair (ABR), Latarjet (LP) and internal fixation (ORIF) of PHF. Baseline demographics, data on procedure utilization, perioperative measures including mortality, operative time, length of stay (LOS), readmission and complications were extracted from included studies, and descriptive statistical analysis performed. RESULTS: Eighteen studies were identified for full text review of which 13 found race and ethnicity as factors affecting utilization and outcomes in TSA, RCR, ABR, LP and ORIF of PHF. Compared to White patients, Black patients were found to have decreased utilization, longer LOS, and greater operative time and mortality after TSA; Black patients also had longer operative times and time to discharge, and lower levels of reported satisfaction after RCR. Hispanic/Latino ethnicity was reported as an independent risk factor for post operative falls following TSA. Hispanic/Latino and Black patients have a higher risk of delayed surgery and greater risk of readmission after surgical treatment of PHF compared to patients of White race. CONCLUSION: This systematic review highlights the limited literature reporting the existence of racial and ethnic disparities in utilization and outcomes after common shoulder surgical procedures. Additionally, there is paucity of studies exploring the underlying etiology of racial and ethnic disparity in outcomes after shoulder surgery. More research is necessary to pave the way for evidence-based action plans to mitigate healthcare disparities after shoulder surgeries, but this review serves as a baseline for where efforts in direct improvement can begin.

Preoperative patient factors that predict achieving the minimal clinically important difference following arthroscopic treatment of snapping scapula syndrome.

BACKGROUND: The aim of this study was to define the minimal clinically important difference (MCID) values for patient-reported outcomes (PROs) after arthroscopic treatment of snapping scapula syndrome (SSS) using a distribution-based method, and to identify demographic, clinical, and intraoperative factors significantly associated with the achievement of MCID. It was hypothesized that subjective satisfaction scores after the procedure would be strongly associated with the achievement of MCID thresholds for the PROs and that pain, preoperative response to injection, and a scapulectomy in addition to bursal resection would be predictive of clinically relevant improvement. METHODS: Patients who underwent arthroscopic treatment of SSS between October 2005 and September 2020 with a minimum of 2-year short-term postoperative follow-up were enrolled in this retrospective single-center study. The MCID was calculated using a distribution-based approach for the following PROs: 12-Item Short Form Health Survey (SF-12), American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASES), Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), Single Assessment Numeric Evaluation (SANE), and visual analog scale (VAS) pain "today" and "at worst." The association between achievement of the MCID and postoperative subjective satisfaction was investigated, and factors associated with achievement of MCID were determined using bivariate analysis. RESULTS: Of a total of 190 patients assessed for eligibility, 77 patients (38.1 ± 14.3 years; 36 females) were included. Within the study population, statistically significant improvements in postoperative SF-12 physical component summary (PCS) (P < .001) and mental component summary (MCS) (P < 0.034), ASES (P < .001), QuickDASH (P < .001), SANE (P < .001), and VAS pain (P < .001) scores were observed at the minimum 2-year follow-up. The calculated MCID threshold values based on the study population were 5.0 for SF-12 PCS, 5.8 for SF-12 MCS, 11.3 for ASES, -10.5 for QuickDASH, 14.7 for SANE, 1.5 for VAS pain, and 1.7 for VAS pain at worst. Reaching the MCID was strongly associated with postoperative satisfaction (rated on a scale of 1-10). Across the PROs, younger age, favorable preoperative response to injection, partial scapuloplasty or scapulectomy, no prior surgery, and pain and function at baseline were significantly associated with attaining MCID. CONCLUSIONS: Patients who underwent arthroscopic treatment for SSS experienced clinically significant improvements in functional scores, pain, and quality of life. This study demonstrated predictive roles for certain patient-specific factors and diagnostic variables for achieving MCID in PROs, which may help surgeons preoperatively assess the probability of success and manage patient expectations.

The Effect of Surgical Approach and Hip Offset Reconstruction on Gait Biomechanics Following Total Hip Arthroplasty.

BACKGROUND: This study aimed to examine how hip offset (HO) and surgical approach affect gait biomechanics following total hip arthroplasty (THA). METHODS: There were 55 THA patients assigned to 3 groups based on surgical approach (ANT: anterior, LAT: lateral, or POS: posterior) and HO difference (large HO: >5 millimeters (mm), small HO; <5 mm, or normal; between +3 mm and -3 mm). Kinematics and kinetics were recorded using motion capture and force plate data. Group differences were assessed using statistical parametric mapping. RESULTS: The ANT group demonstrated more normal sagittal plane kinematics and kinetics. No frontal plane kinematic differences were found, but the LAT group displayed more normal frontal plane kinetics. The LAT group displayed a slower walking speed than the ANT group, and the LAT and POS groups used a shorter stride/step length than the control group. The large HO group showed fewer differences in sagittal plane kinematics and kinetics than the small HO and normal groups. No frontal plane kinematic differences were observed, but the normal group demonstrated more significant differences than the large HO and small HO groups. No significant differences were found between any of the HO patient groups. CONCLUSION: Anterior and lateral approaches led to more normal gait biomechanics in sagittal kinematics and frontal kinetics, respectively, but only the ANT group exhibited spatiotemporal gait parameters within normal ranges. Hip offset differences greater or less than 5 mm do not significantly change gait patterns. Surgical approach plays a greater role than HO reconstruction in producing more normal gait biomechanics following THA.

Can You Pay Your Way to Readership? Free to Publish Open Access Formats Receive Greater Readership and Citations Than Paid Open Access Formats in Total Knee Arthroplasty Literature.

BACKGROUND: As publishing with open access is becoming increasingly popular within orthopaedics, understanding the types of publishing options available and what each may deliver is critically important. Hybrid articles require a high article processing charge. Open journal articles have a lower fee, while closed license articles are freely accessible at no charge. Open repository articles are peer-reviewed manuscripts posted freely online. The purpose of this study was to determine the relationship between article type and resulting citations, social media attention, and readership in total knee arthroplasty (TKA) literature. METHODS: Open access TKA journal articles published since 2016 were found using the Altmetric Explorer Database. Data gathered included the Altmetric Attention Score (attention), Mendeley Readership Score (readership), and citations per article. Articles were grouped by type: open journal, hybrid, closed license, and open repository. Results were analyzed using descriptive statistics and Tukey's analysis; α = 0.05. RESULTS: A total of 9,606 publications were included. The open repository had the greatest mean citations (14.40), while open journal (9.55) had fewer than all other categories (P < .001). Hybrid had the greatest mean attention (10.35), and open journal (6.16) had a lower mean attention than all other categories (P ≤ .002). Open repository had the greatest mean readership (44.68), and open journal (34.00) had a lower mean readership than all other categories (P ≤ .012). The mean publication fee for paid publication options was $1,792 United States dollars. CONCLUSIONS: In open access TKA literature, free-to-publish open repositories had the greatest mean citations and readership. Free publication options, open repositories and closed licenses, had greater readership compared to paid publication options.

Orthopedic Surgery Volume Trends During the COVID-19 Pandemic and Postvaccination Era: Implications for Healthcare Planning.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic decreased surgical volumes, but prior studies have not investigated recovery through 2022, or analyzed specific procedures or cases of urgency within orthopedic surgery. The aims of this study were to (1) quantify the declines in orthopedic surgery volume during and after the pandemic peak, (2) characterize surgical volume recovery during the postvaccination period, and (3) characterize recovery in the 1-year postvaccine release period. METHODS: We conducted a retrospective cohort study of 27,476 orthopedic surgeries from January 2019 to December 2022 at one urban academic quaternary referral center. We reported trends over the following periods: baseline pre-COVID-19 period (1/6/2019 to 1/4/2020), COVID-19 peak (3/15/2020 to 5/16/2020), post-COVID-19 peak (5/17/2020 to 1/2/2021), postvaccine release (1/3/2021 to 1/1/2022), and 1-year postvaccine release (1/2/2022 to 12/30/2022). Comparisons were performed with 2 sample t-tests. RESULTS: Pre-COVID-19 surgical volume fell by 72% at the COVID-19 peak, especially impacting elective procedures (P < .001) and both hip and knee joint arthroplasty (P < .001) procedures. Nonurgent (P = .024) and urgent or emergency (P = .002) cases also significantly decreased. Postpeak recovery before the vaccine saw volumes rise to 92% of baseline, which further rose to 96% and 94% in 2021 and 2022, respectively. While elective procedures surpassed the baseline in 2022, nonurgent and urgent or emergency surgeries remained low. CONCLUSIONS: The COVID-19 pandemic substantially reduced orthopedic surgical volumes, which have still not fully recovered through 2022, particularly nonelective procedures. The differential recovery within an orthopedic surgery program may result in increased morbidity and can serve to inform department-level operational recovery.

Robot-Assisted Augmented Reality (AR)-Guided Surgical Navigation for Periacetabular Osteotomy.

Periacetabular osteotomy (PAO) is an effective approach for the surgical treatment of developmental dysplasia of the hip (DDH). However, due to the complex anatomical structure around the hip joint and the limited field of view (FoV) during the surgery, it is challenging for surgeons to perform a PAO surgery. To solve this challenge, we propose a robot-assisted, augmented reality (AR)-guided surgical navigation system for PAO. The system mainly consists of a robot arm, an optical tracker, and a Microsoft HoloLens 2 headset, which is a state-of-the-art (SOTA) optical see-through (OST) head-mounted display (HMD). For AR guidance, we propose an optical marker-based AR registration method to estimate a transformation from the optical tracker coordinate system (COS) to the virtual space COS such that the virtual models can be superimposed on the corresponding physical counterparts. Furthermore, to guide the osteotomy, the developed system automatically aligns a bone saw with osteotomy planes planned in preoperative images. Then, it provides surgeons with not only virtual constraints to restrict movement of the bone saw but also AR guidance for visual feedback without sight diversion, leading to higher surgical accuracy and improved surgical safety. Comprehensive experiments were conducted to evaluate both the AR registration accuracy and osteotomy accuracy of the developed navigation system. The proposed AR registration method achieved an average mean absolute distance error (mADE) of 1.96 ± 0.43 mm. The robotic system achieved an average center translation error of 0.96 ± 0.23 mm, an average maximum distance of 1.31 ± 0.20 mm, and an average angular deviation of 3.77 ± 0.85°. Experimental results demonstrated both the AR registration accuracy and the osteotomy accuracy of the developed system.

A Sensorized 3D-Printed Knee Test Rig for Preliminary Experimental Validation of Patellar Tracking and Contact Simulation.

Experimental validation of computational simulations is important because it provides empirical evidence to verify the accuracy and reliability of the simulated results. This validation ensures that the simulation accurately represents real-world phenomena, increasing confidence in the model's predictive capabilities and its applicability to practical scenarios. The use of musculoskeletal models in orthopedic surgery allows for objective prediction of postoperative function and optimization of results for each patient. To ensure that simulations are trustworthy and can be used for predictive purposes, comparing simulation results with experimental data is crucial. Although progress has been made in obtaining 3D bone geometry and estimating contact forces, validation of these predictions has been limited due to the lack of direct in vivo measurements and the economic and ethical constraints associated with available alternatives. In this study, an existing commercial surgical training station was transformed into a sensorized test bench to replicate a knee subject to a total knee replacement. The original knee inserts of the training station were replaced with personalized 3D-printed bones incorporating their corresponding implants, and multiple sensors with their respective supports were added. The recorded movement of the patella was used in combination with the forces recorded by the pressure sensor and the load cells, to validate the results obtained from the simulation, which was performed by means of a multibody dynamics formulation implemented in a custom-developed library. The utilization of 3D-printed models and sensors facilitated cost-effective and replicable experimental validation of computational simulations, thereby advancing orthopedic surgery while circumventing ethical concerns.

Improving case duration accuracy of orthopedic surgery using bidirectional encoder representations from Transformers (BERT) on Radiology Reports.

PURPOSE: A major source of inefficiency in the operating room is the mismatch between scheduled versus actual surgical time. The purpose of this study was to demonstrate a proof-of-concept study for predicting case duration by applying natural language processing (NLP) and machine learning that interpret radiology reports for patients undergoing radius fracture repair. METHODS: Logistic regression, random forest, and feedforward neural networks were tested without NLP and with bag-of-words. Another NLP method tested used feedforward neural networks and Bidirectional Encoder Representations from Transformers specifically pre-trained on clinical notes (ClinicalBERT). A total of 201 cases were included. The data were split into 70% training and 30% test sets. The average root mean squared error (RMSE) were calculated (and 95% confidence interval [CI]) from 10-fold cross-validation on the training set. The models were then tested on the test set to determine proportion of times surgical cases would have scheduled accurately if ClinicalBERT was implemented versus historic averages. RESULTS: The average RMSE was lowest using feedforward neural networks using outputs from ClinicalBERT (25.6 min, 95% CI: 21.5-29.7), which was significantly (P < 0.001) lower than the baseline model (39.3 min, 95% CI: 30.9-47.7). Using the feedforward neural network and ClinicalBERT on the test set, the percentage of accurately predicted cases, which was defined by the actual surgical duration within 15% of the predicted surgical duration, increased from 26.8 to 58.9% (P < 0.001). CONCLUSION: This proof-of-concept study demonstrated the successful application of NLP and machine leaning to extract features from unstructured clinical data resulting in improved prediction accuracy for surgical case duration.