AI-Generated Graduate Medical Education Content for Total Joint Arthroplasty: Comparing ChatGPT Against Orthopaedic Fellows.

Background: Artificial intelligence (AI) in medicine has primarily focused on diagnosing and treating diseases and assisting in the development of academic scholarly work. This study aimed to evaluate a new use of AI in orthopaedics: content generation for professional medical education. Quality, accuracy, and time were compared between content created by ChatGPT and orthopaedic surgery clinical fellows. Methods: ChatGPT and 3 orthopaedic adult reconstruction fellows were tasked with creating educational summaries of 5 total joint arthroplasty-related topics. Responses were evaluated across 5 domains by 4 blinded reviewers from different institutions who are all current or former total joint arthroplasty fellowship directors or national arthroplasty board review course directors. Results: ChatGPT created better orthopaedic content than fellows when mean aggregate scores for all 5 topics and domains were compared (P ≤ .001). The only domain in which fellows outperformed ChatGPT was the integration of key points and references (P = .006). ChatGPT outperformed the fellows in response time, averaging 16.6 seconds vs the fellows' 94 minutes per prompt (P = .002). Conclusions: With its efficient and accurate content generation, the current findings underscore ChatGPT's potential as an adjunctive tool to enhance orthopaedic arthroplasty graduate medical education. Future studies are warranted to explore AI's role further and optimize its utility in augmenting the educational development of arthroplasty trainees.

Persistent racial disparities in postoperative management after tibia fracture fixation: A matched analysis of US medicaid beneficiaries.

INTRODUCTION: Racial and ethnic disparities in orthopaedic surgery are well documented. However, the extent to which these persist in fracture care is unknown. This study sought to assess racial disparities in the postoperative surgical and medical management of patients after diaphyseal tibia fracture fixation. METHODS: Patients with surgically treated tibial shaft fractures from October 1, 2015, to December 31, 2020, were identified in the MarketScan® Medicaid Database. Exclusion criteria included concurrent fractures or amputation. Outcomes included 2-year postoperative complications, reoperation rates, and filled prescriptions. Surgically-treated Black and White cohorts were propensity-score matched using nearest-neighbor matching on patient demographics, comorbidities, fracture pattern and severity, and fixation type. Chi-square tests and survival analyses (Kaplan-Meier and Cox proportional hazard models) were conducted. RESULTS: 5,472 patients were included, 2,209 Black and 3,263 White patients. After matching, 2,209 were retained in each cohort. No significant differences in complication rates were observed in the matched Black vs White cohorts. Rates of reoperation, however, were significantly lower in Black as compared to White patients (28.5 % vs. 35.5 % rate, risk difference = 7.0 % (95 % confidence interval (CI): 4.2 % to 9.7 %)). Implant removal was also significantly lower in Black (17.9 %) vs. White (25.1 %) patients (Risk difference = 7.2 %, (95 %CI: 4.8 % to 9.6 %)). The adjusted hazard ratio comparing the reoperation rate in Black versus White patients was 0.77 (95 %CI: 0.69-0.82, p < 0.0001). Significantly lower proportions of Black vs White patients filled at least one prescription for benzodiazepine, antidepressants, strong opiates, or antibiotics at every time point post-index. DISCUSSION: Fewer resources were used in post-operative management after surgical treatment of tibial shaft fractures for Black versus White Medicaid-insured patients. These results may be reflective of the undertreatment of complications after tibia fracture surgery for Black patients and highlight the need for further interventions to address racial disparities in trauma care.

Multisite Study of the Management of Musculoskeletal Infection After Trauma: The MMUSKIT Study.

Background: The optimal duration and choice of antibiotic for fracture-related infection (FRI) is not well defined. This study aimed to determine whether antibiotic duration (≤6 vs >6 weeks) is associated with infection- and surgery-free survival. The secondary aim was to ascertain risk factors associated with surgery- and infection-free survival. Methods: We performed a multicenter retrospective study of patients diagnosed with FRI between 2013 and 2022. The association between antibiotic duration and surgery- and infection-free survival was assessed by Cox proportional hazard models. Models were weighted by the inverse of the propensity score, calculated with a priori variables of hardware removal; infection due to Staphylococcus aureus, Staphylococcus lugdunensis, Pseudomonas or Candida species; and flap coverage. Multivariable Cox proportional hazard models were run with additional covariates including initial pathogen, need for flap, and hardware removal. Results: Of 96 patients, 54 (56.3%) received ≤6 weeks of antibiotics and 42 (43.7%) received >6 weeks. There was no association between longer antibiotic duration and surgery-free survival (hazard ratio [HR], 0.95; 95% CI, .65-1.38; P = .78) or infection-free survival (HR, 0.77; 95% CI, .30-1.96; P = .58). Negative culture was associated with increased hazard of reoperation or death (HR, 3.52; 95% CI, 1.99-6.20; P < .001) and reinfection or death (HR, 3.71; 95% CI, 1.24-11.09; P < .001). Need for flap coverage had an increased hazard of reoperation or death (HR, 3.24; 95% CI, 1.61-6.54; P = .001). Conclusions: The ideal duration of antibiotics to treat FRI is unclear. In this multicenter study, there was no association between antibiotic treatment duration and surgery- or infection-free survival.

Racial Disparities Exist in 90-Day Unplanned Return to the Emergency Department Following Orthopaedic Trauma Surgery.

OBJECTIVES: Racial disparities in healthcare outcomes exist, including in orthopaedic trauma care. The aim of this study was to determine the impact of race, social deprivation, and payor status on 90-day emergency department (ED) revisits among orthopaedic trauma surgery patients at a Level 1 trauma academic medical center. DESIGN: Retrospective chart review analysis. SETTING: Level 1 trauma academic center in Durham, NC. PATIENT SELECTION CRITERIA: Adult patients undergoing orthopaedic trauma surgery between 2017 and 2021. OUTCOME MEASURES AND COMPARISONS: The primary outcome of this retrospective cohort study was 90-day return to the ED. Logistic regression analysis was performed for variables of interest [race, social deprivation (measured by the Area Deprivation Index), and payor status] separately and combined, with each model adjusting for distance to the hospital. Results were interpreted as odds ratios (ORs) of 90-day ED revisits comparing levels of the respective variables. Statistical significance was assessed at α = 0.05. RESULTS: A total of 3120 adult patients who underwent orthopaedic trauma surgery between 2017 and 2021 were included in the analysis. Black race (OR = 1.47; 95% confidence interval [CI]: 1.17-1.84, P < 0.001) and Medicaid coverage (OR = 1.63, 95% CI: 1.20-2.21, P = 0.002) were significantly associated with higher odds of return to ED compared with non-Black or non-Medicaid-covered patients. While ethnic minority (Hispanic/Latino or non-White) was statistically significant while adjusting only for distance to the hospital (OR = 1.23, 95% CI: 1.00-1.50, P = 0.047), it was no longer significant after adjusting for the other sociodemographic variables (OR = 1.13, 95% CI: 0.91-1.39, P = 0.27). The weighted Area Deprivation Index was not associated with a difference in odds of return to ED in any adjusted models. CONCLUSIONS: The results highlight the presence of racial and socioeconomic disparities in ED utilization, with Black race and Medicaid coverage significantly associated with higher odds of return to the ED. Future research should delve deeper into comprehending the root causes contributing to these racial and socioeconomic utilization disparities and evaluate the effectiveness of targeted interventions to reduce them. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Outcomes and Complications of Revision Reverse Shoulder Arthroplasty Following Failed Primary Anatomical Shoulder Arthroplasty or Hemiarthroplasty: A Systematic Review.

BACKGROUND: The purpose of this study is to systematically review the evidence in the literature to ascertain the functional outcomes, range of motion (ROM) and complication and reoperation rates following revision reverse shoulder arthroplasty (RSA) for a failed primary total shoulder arthroplasty (TSA) or hemiarthroplasty (HA). METHODS: Two independent reviewers performed the literature search based on PRISMA guidelines, utilizing the EMBASE, MEDLINE, and The Cochrane Library Databases. Studies were included if they reported clinical outcomes for revision RSA for a failed primary TSA or HA. RESULTS: Our review found 23 studies including 1,041 shoulders (627 TSA, 414 HA) meeting our inclusion criteria. The majority of patients were female (66.1%), with an average age of 69.0 years (range 39-93) with a mean follow-up of 46.3 months. ASES and VAS pain scores improved from 32.6 to 61.9 and 6.7 to 2.7, respectively. ROM results including forward flexion, abduction and external rotation that improved from 59.4° to 107.7°, 50.7° to 104.4°, and 19.8° to 26.3° respectively. Only one out of the ten studies reporting internal rotation found a statistically significant difference with mean internal rotation improving from S1-S3 preoperatively to L4-L5 postoperatively for patients undergoing HA. The overall complication rate and reoperation rate were 23.4% and 12.5% respectively. The most common complications were glenoid component loosening (6.0%), fracture (periprosthetic, intraoperative, or other scapula fractures) (n=4.7%), and infection (n=3.3%). CONCLUSION: Revision RSA for a failed primary TSA and HA has been shown to result in excellent functional outcomes and improved ROM suggesting patients who have failed TSA or HA may benefit from a revision RSA.

Prediction of 30-Day Mortality Following Revision Total Hip and Knee Arthroplasty: Machine Learning Algorithms Outperform CARDE-B, 5-Item, and 6-Item Modified Frailty Index Risk Scores.

BACKGROUND: Although risk calculators are used to prognosticate postoperative outcomes following revision total hip and knee arthroplasty (total joint arthroplasty [TJA]), machine learning (ML) based predictive tools have emerged as a promising alternative for improved risk stratification. This study aimed to compare the predictive ability of ML models for 30-day mortality following revision TJA to that of traditional risk-assessment indices such as the CARDE-B score (congestive heart failure, albumin (< 3.5 mg/dL), renal failure on dialysis, dependence for daily living, elderly (> 65 years of age), and body mass index (BMI) of < 25 kg/m2), 5-item modified frailty index (5MFI), and 6MFI. METHODS: Adult patients undergoing revision TJA between 2013 and 2020 were selected from the American College of Surgeons National Surgical Quality Improvement Program database and randomly split 80:20 to compose the training and validation cohorts. There were 3 ML models - extreme gradient boosting, random forest, and elastic-net penalized logistic regression (NEPLR) - that were developed and evaluated using discrimination, calibration metrics, and accuracy. The discrimination of CARDE-B, 5MFI, and 6MFI scores was assessed individually and compared to that of ML models. RESULTS: All models were equally accurate (Brier score = 0.005) and demonstrated outstanding discrimination with similar areas under the receiver operating characteristic curve (AUCs, extreme gradient boosting = 0.94, random forest = NEPLR = 0.93). The NEPLR was the best-calibrated model overall (slope = 0.54, intercept = -0.004). The CARDE-B had the highest discrimination among the scores (AUC = 0.89), followed by 6MFI (AUC = 0.80), and 5MFI (AUC = 0.68). Albumin < 3.5 mg/dL and BMI (< 30.15) were the most important predictors of 30-day mortality following revision TJA. CONCLUSIONS: The ML models outperform traditional risk-assessment indices in predicting postoperative 30-day mortality after revision TJA. Our findings highlight the utility of ML for risk stratification in a clinical setting. The identification of hypoalbuminemia and BMI as prognostic markers may allow patient-specific perioperative optimization strategies to improve outcomes following revision TJA.

The Utilization of Preoperative Steroids Safely Decreases the Risk of Postoperative Delirium in Geriatric Patients After Hip Fracture Surgery: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

OBJECTIVES: Postoperative delirium is an acute neurocognitive complication that can have adverse effects on outcomes of geriatric patients after undergoing hip fracture surgery. The objective of this study was to examine the efficacy of preoperative steroids in preventing postoperative delirium after hip fracture surgery. DATA SOURCES: A systematic review and meta-analysis was performed using PubMed, SPORTDiscus, CINAHL, MEDLINE, and Web of Science from database inception until September 28, 2023. STUDY SELECTION: Inclusion criteria were randomized controlled trials of patients who underwent surgical intervention for hip fracture, were examined for postoperative delirium, and used preoperative steroids. DATA EXTRACTION: Data included the risk of postoperative delirium, postoperative all-cause infection, and postoperative hyperglycemia. Articles were graded via the Cochrane Collaboration's tool. DATA SYNTHESIS: Statistical analysis included a random-effects binary model with relative risk, 95% confidence intervals along with a defined "number needed to treat" threshold (number needed to treat). RESULTS: Four randomized controlled trials were included from 128 articles initially retrieved. Patients (n = 416; average age: 82.2 ± 2.2 years) underwent surgical intervention for hip fracture after receiving either preoperative steroids (n = 209) or control interventions (n = 207). There was a statistically significant decrease in the incidence of postoperative delirium among patients who received preoperative steroids (12.9%; 27 cases) as compared with patients who received control interventions (26.7%; 55 cases) after hip fracture surgery ( P < 0.001; RR: 0.84). The absolute risk difference was 13.8%, and the number needed to treat was 7.2 patients. There was no statistically significant difference in the risk of postoperative all-cause infection among patients who received preoperative steroids as compared with patients who received normal saline as placebo after hip fracture surgery ( P = 0.850; RR: 0.96). CONCLUSIONS: The utilization of preoperative steroids seems to decrease the risk of postoperative delirium after hip fracture surgery in elderly adults. Furthermore, this decreased risk of postoperative delirium was not associated with a significant increase in postoperative infection, indicating possible safety of preoperative steroid administration. LEVEL OF EVIDENCE: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.

The association of pre-existing mental health conditions and patient outcomes after lower extremity orthopaedic trauma: a scoping review.

INTRODUCTION: Existing research has established a correlation between post-traumatic mental health conditions, including anxiety and depression, and various aspects of recovery, such as pain exacerbations, reduced functional recovery, and lowered patient satisfaction. However, the influence of pre-existing mental health conditions on orthopaedic trauma outcomes has not been thoroughly investigated. The objective of this study was to systematically review literature addressing the association between pre-existing mental health conditions and patient outcomes following surgical interventions for lower extremity fractures in non-geriatric populations. METHODS: A systematic literature review was conducted using Medline, Embase, and Scopus databases following PRISMA-ScR guidelines to select studies that examined lower extremity orthopaedic trauma outcomes in relation to pre-existing mental health conditions. Studies that evaluated patients with surgically treated lower extremity fractures and a history of mental health conditions such as anxiety, depression, or mood disorders were included. Studies with a mean patient age above 65 years of age were excluded to focus on non-geriatric injury patterns. RESULTS: The systematic review identified 12 studies investigating the relationship between surgical outcomes of orthopaedic lower extremity fractures and pre-existing mental health disorders in non-geriatric populations. Studies included patients with pelvis, femur, tibia, and ankle fractures. A majority (83%) of these studies demonstrated that patients with pre-existing mental health diagnoses had inferior functional outcomes, heightened pain levels, or an increase in postoperative complications. DISCUSSION: The presence of pre-existing mental health conditions, particularly anxiety and depression, may predispose orthopaedic trauma patients to an elevated risk of suboptimal functional outcomes, increased pain, or complications after surgical intervention for lower extremity fractures. Future research should focus on interventions that mitigate the impact of mental health conditions on orthopaedic outcomes and patient wellness in this population.

Leveraging Artificial Intelligence and Digital Health to Address Health-Related Social Needs and Optimize Risk-Based Value in Orthopaedic Surgery.

As the health care landscape evolves toward value-based care and emphasizes health-related social needs, the importance of developing health policies and digital health solutions that foster health equity and risk-based reimbursement strategies has grown. Orthopaedic surgery, catering to a diverse patient population but challenged by a lack of workforce diversity, encounters distinct opportunities and obstacles in adopting digital health technologies for delivering equitable, high-value care. The integration of health-related social needs into the emerging value-based care model and risk-based reimbursement policies is important. Furthermore, the potential of incorporating robust artificial intelligence governance and big data analytics to enhance patient outcomes and support orthopaedic surgeons in treating their patient populations should be studied. There are crucial considerations for creating comprehensive digital health platforms tailored for orthopaedic surgery, and the significance of specialty-specific advocacy and collaboration among clinicians, policymakers, and MedTech companies cannot be understated.

Haitian State Hospital Orthopedic Grand Rounds Series: A Virtual Curriculum to Address Global Surgery Needs.

Background: Orthopedic Relief Services International (ORSI), in partnership with the Foundation for Orthopedic Trauma and the department of Orthopedic Surgery of La Paix University Hospital in Haiti, has developed a year-round Orthopedic Grand Round series. This series is moderated by Haitian faculty, features presentations by American orthopedic surgeons, and is broadcast to major state hospitals in Haiti for residents and attendings. Objective: To introduce clinical concepts and increase knowledge in an area that is medically underserved, especially in the field of orthopedics, through lectures that tailor to the educational needs of Haiti. Methods: Topics for lecture series are requested by Haitian attending orthopedic surgeons and residents in collaboration with American orthopedic surgeons to meet the educational needs of the residents in Haiti. These lectures reflect the case mix typically seen at state hospitals in Haiti and consider the infrastructural capacity of participating centers. Grand rounds are held an average of twice per month for an hour each, encompassing an educational lesson followed by an open forum for questions and case discussion. Feedback is taken from Haitian residents to ensure the sessions are beneficial to their learning. Findings and Conclusions: To date 95 sessions hosted by 32 lecturers have been completed over Zoom between the US and Haiti. The fourth year of the lecture series is currently ongoing with an expansion of topics. In an underserved medical area such as Haiti, programs that educate local surgeons are crucial to continuing the growth and development of the medical community. Programs like this have the potential to contribute to the educational infrastructure of countries in need, regardless of the specialty. The model of this program can be used to produce similar curricula in various specialties and areas around the world.

Association between radiographic soft-tissue thickness and increased length of stay, operative time, and infection rate after reverse shoulder arthroplasty.

BACKGROUND: Reverse shoulder arthroplasty (RSA) is a widely performed surgical procedure to address various shoulder pathologies. Several studies have suggested that radiographic soft-tissue thickness may play a role in predicting complications after orthopedic surgery, but there have been limited studies determining the use of radiographic soft-tissue thickness in RSA. The purpose of this study was to evaluate whether radiographic soft-tissue thickness could predict clinical outcomes after RSA and compare the predictive capabilities against body mass index (BMI). We hypothesized that increased radiographic shoulder soft-tissue thickness would be a strong predictor of operative time, length of stay (LOS), and infection in elective RSA. MATERIAL AND METHODS: A retrospective review of patients undergoing RSA at an academic institution was conducted. Preoperative radiographic images were evaluated including measurements of the radius from the humeral head center to the skin (HS), deltoid radius-to-humeral head radius ratio (DHR), deltoid size, and subcutaneous tissue size. Different correlation coefficients were used to analyze various types of relationships, and the strength of these associations was classified based on predefined boundaries. Subsequently, multivariable linear and logistic regressions were performed to determine whether HS, DHR, deltoid size, and subcutaneous tissue size could predict LOS, operative time, or infection while controlling for patient factors. RESULTS: HS was the most influential factor in predicting both operative time and LOS after RSA, with strong associations indicated by standardized ß coefficients of 0.234 for operative time and 0.432 for LOS. Subcutaneous tissue size, deltoid size, and DHR also showed stronger predictive values than BMI for both outcomes. In terms of prosthetic joint infection, HS, deltoid size, and DHR were significant predictors, with HS demonstrating the highest predictive power (Nagelkerke R2 = 0.44), whereas BMI did not show a statistically significant association with infection. Low event counts resulted in wide confidence intervals for odds ratios in the infection analysis. CONCLUSION: Greater shoulder soft-tissue thickness as measured with concentric circles on radiographs is a strong predictor of operative time, LOS, and postoperative infection in elective primary RSA patients.

Updates on Residual Limb Management in Lower Extremity Amputation From Nerve to Bone.

Traumatic extremity amputation can be devastating for patients' functional and psychological health. Challenges of initial management and considerations for limb salvage versus amputation for mangled lower extremities are well documented. However, literature geared toward orthopedic surgeons highlighting management considerations for the residual limb of an amputation is scarce. This article reviews recent literature on management of the residual limb in the perioperative and rehabilitation phases of treatment.

Metabolic Syndrome Increases Risk of Readmission and Complications in Operative Fixation of Pilon Fractures.

Background Studies demonstrate that metabolic syndrome (MetS) negatively impacts surgical outcomes. This study sought to identify how metabolic syndrome affects outcomes after open reduction and internal fixation (ORIF) of traumatic pilon fractures. Methods Patients who underwent ORIF for pilon fractures from 2012 to 2019 were identified in the American College of Surgeons National Surgical Quality Improvement Program database. Patients with MetS were compared to non-MetS patients for rates of adverse events, prolonged stay, readmission, discharge location, and operative time in the 30-day postoperative period. All statistical analyses were conducted using SPSS version 26.0 (IBM Corp., Armonk, NY, USA). Paired student t-tests were used to assess continuous variables. Pearson's Chi-square and odds ratios were used for categorical variables. Results A total of 1,915 patients met this study's inclusion criteria, and 127 MetS patients were identified in the cohort. The MetS cohort was older (62.7 vs 49.5 years old, p-value <0.01), with a greater proportion of female patients (59.1% vs 50.2%, p=0.054). MetS patients experienced significantly higher rates of infectious complications (7.9% vs 3.9% OR 2.75 (CI 1.36-5.53), p=0.008), major adverse events (11% vs 4.3%, OR 2.79 (CI 1.53-5.09) p=0.002), and readmissions. MetS patients also had longer lengths of stay (7 days vs 3.8 days, p-value<0.001), and were more likely to be discharged to a non-home location (51.2% vs 19.5%, p-value<0.01, OR 4.32 (CI=3.0-6.24) p<0.001). Conclusion Patients with MetS have an increased risk of 30-day major complications, infection, readmissions, discharge to a non-home location, and prolonged operative time, and therefore warrant additional consideration for perioperative monitoring.

Intramedullary nailing vs. open reduction-internal fixation for humeral shaft fractures: a meta-analysis of randomized controlled trials.

BACKGROUND: The purpose of this study was to perform a meta-analysis of randomized controlled trials (RCTs) to compare outcomes following intramedullary nailing (IMN) vs. open reduction-internal fixation (ORIF) for humeral shaft fractures. METHODS: A literature search of 3 databases was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. RCTs comparing IMN and ORIF for humeral shaft fractures were included. Clinical outcomes were compared using RevMan. P < .05 was considered statistically significant. RESULTS: Ten RCTs with 512 patients were included. Overall, 8.4% of patients treated with IMN and 6.4% of patients treated with ORIF had nonunion (P = .57, I2 = 0%), with a significantly faster time to union with IMN (10 weeks vs. 11.9 weeks, P < .05). There was no significant difference in the rate of reoperation (11.6% in IMN group vs. 7.6% in ORIF group, P = .26) or radial nerve palsy (2.8% in IMN group vs. 4.2% in ORIF group, P = .58). A lower rate of infection was noted with IMN (1.2% vs. 5.3%, P < .05). Additionally, there was a lower operative time with IMN (61 minutes vs. 88 minutes, P < .05). CONCLUSIONS: The Level I evidence in the literature does not show a significant difference in rates of union, reoperation, or radial nerve palsy between IMN and ORIF for humeral shaft fractures. Overall, treatment with IMN results in a lower infection rate, less operative time, and a modestly quicker time to union. The optimal treatment strategy for humeral shaft fractures may be best informed by fracture pattern and surgeon preference.

Interfragmentary strain measurement post-fixation to guide intraoperative decision making: a narrative review.

PURPOSE: Interfragmentary strain influences whether a fracture will undergo direct and indirect fracture healing. Orthopedic trauma surgeons modulate strain and create optimal biomechanical environments for specific fracture patterns using fixation constructs. However, objective intraoperative interfragmentary strain measurement does not currently inform fixation strategy in common practice. This review identifies potential methods and technologies to enable intraoperative strain measurement for guiding optimal fracture fixation strategies. METHODS: PubMed, Scopus, and Web of Science were methodologically queried for manuscripts containing terms related to "bone fracture," "strain," "measurement," and "intraoperative." Manuscripts were systematically screened for relevance and adjudicated by three reviewers. Relevant articles describing methods to measure interfragmentary strain intraoperatively were summarized. RESULTS: After removing duplicates, 1404 records were screened initially. There were 49 manuscripts meeting criteria for in-depth review. Of these, four reports were included in this study that described methods applicable to measuring interfragmentary strain intraoperatively. Two of these reports described a method using instrumented staples, one described optical tracking of Kirschner wires, and one described using a digital linear variable displacement transducer with a custom external fixator. CONCLUSION: The four reports identified by this review describe potential methods to quantify interfragmentary strain after fixation. However, further studies are needed to confirm the precision and accuracy of these measurements across a range of fractures and fixation methods. Additionally, described methods require the insertion and likely removal of additional implants into the bone. Ideally, innovations that measure interfragmentary strain intraoperatively would provide dynamic biomechanical feedback for the surgeon to proactively modulate construct stability.

Use of a Six-Item Modified Frailty Index to Predict 30-day Adverse Events, Readmission, and Mortality in Older Patients Undergoing Surgical Fixation of Lower Extremity, Pelvic, and Acetabular Fractures.

INTRODUCTION: This is a retrospective study evaluating the use of a new six-item modified frailty index (MF-6) to predict short-term outcomes of patients receiving surgery for lower extremity fractures. METHODS: Patients older than 65 years undergoing open reduction and internal fixation for lower extremity, pelvic, and acetabulum fractures were identified from the American College of Surgeons National Surgical Quality Improvement Program. The MF-6 was calculated by assigning one point for each of six common conditions. Multivariable analysis was used to compare patients with an MF-6 of <3 and ≥3. Outcome measures included complications, mortality, readmission, revision surgery, and length of stay. An area under the curve receiver operator analysis was conducted to compare the MF-6 with MF-5, an existing five-item frailty index. RESULTS: Nine thousand four hundred sixty-three patients were included. Patients with an MF-6 of ≥3 were at markedly higher risk of discharge destination other than home (Exp[B] = 2.09), mortality (Exp[B] = 2.48), major adverse events (Exp[B] = 2.16), and readmission (Exp[B] = 1.82). Receiver-operating curve analysis demonstrated an area under the curve of 0.65 for mortality, 0.62 for major adverse events, and 0.62 for discharge destination other than home, all of which outperformed the MF-5. DISCUSSION: The MF-6 was correlated with a 30-day postoperative incidence of infectious complications, readmission, and discharge destination. MF-6 scores can be used to risk-stratify patient populations as shifts to value-based care continue to develop.

Severe Obesity Worsens 30-Day Surgical Outcomes and Projected Costs in Operative Femoral Shaft and Tibial Shaft Fractures.

OBJECTIVE: To assess the impact of severe obesity on 30-day adverse event rates, hospital length of stay (LOS), readmissions, and projected costs after operative fixation of tibia and femur fractures. METHODS: An analysis of the American College of Surgeons National Surgical Quality Improvement Project database from 2012 to 2019 of isolated femoral shaft and tibial shaft fracture fixation cases was conducted. Adverse events, LOS, readmission rates, and operative time were queried for severe obesity, defined as body mass index greater than 40, compared with other patients. Student t tests were used to assess continuous variables. Fisher exact test and odds ratios were used for categorical variables. A cost-analysis was also performed to quantify the effect of severe obesity on projected health care expenditures. RESULTS: A total of 10,436 patients were included with 7.0% of patients categorized as severely obese. Severely obese patients had higher infectious complication rates (9.0% vs. 6.7%, P = 0.013, OR 1.36, 95% CI 1.04-1.78), readmission rates (7.9% vs. 5.6%, P-value = 0.008, OR 1.44, 95% CI 1.08-1.91), longer LOS (5.8 days SD ±10.2 vs. 5.0 days SD ±7.9 days, P-value = 0.008), and longer operative times (mean 115 minutes ± 56 minutes SD vs. 103 minutes SD ±54 minutes, P-value = <0.001). Severe obesity resulted in an estimated $4258.07 additional health care expenditures per patient compared with nonobese patients. This amounted to a projected added total expenditure of $3.09 million USD in the overall cohort. CONCLUSION: Severe obesity is associated with significantly worse 30-day outcomes and higher readmission rates for patients undergoing operative fixation of tibial shaft and femoral shaft fractures. Health policy considerations should be made to incentivize care for this patient population, particularly in trauma where modification of risk factors before surgery is often not feasible. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Increasing Diversity in Orthopaedics: The Problem, Strategies, and Solutions.

It is important to educate and equip the orthopaedic community with tools to address health care disparities and improve orthopaedic specialty recruitment for racial minorities. How patients and providers are affected by systemic racism in healthcare and what that means in orthopaedic surgery, methods to identify bias and improve access to orthopaedic care for racial minorities, and how to structure a program and department environment to encourage and promote diversity are important topics of discussion.

Shoulder arthroplasty device clearance: an ancestral network analysis.

BACKGROUND: The US Food and Drug Administration (FDA) oversees medical device regulation and oversight in the United States, and the majority of shoulder arthroplasty devices are cleared via the 510(k) pathway, in which a device demonstrates "substantial equivalence" to a previously cleared predicate. The purpose of this study was to determine an interconnected ancestral network of shoulder arthroplasty devices and determine equivalency ties to devices subsequently recalled by the FDA for design-related issues. METHODS: The FDA 510(k) database was used to identify all legally marketed shoulder arthroplasty devices from May 28, 1976, to July 1, 2021. Direct predicate information obtained via clearance summary documents associated with each device was used to generate an ancestral genealogy network for all shoulder arthroplasty devices cleared between July 1, 2020, and July 1, 2021. FDA design recalls were analyzed, and the number of descendant devices was calculated for each recalled device. RESULTS: An evaluation of all 476 510(k) premarket notification pathway-cleared shoulder devices since 1976 identified 0-313 descendant devices for each. Eighty of these devices (16.8%) have since been recalled, of which 10 recalls were directly related to implant design issues. Furthermore, among 29 of the most recently cleared devices (July 1, 2020-July 1, 2021), 16 (55.2%) claim predicates devices that have subsequently been withdrawn from the market because of design-related failures. CONCLUSIONS: Shoulder arthroplasty devices are linked together via an interconnected FDA 510(k) equivalency approval network dating back to 1976 despite substantive changes in material specifications and device design, many of which have since been recalled. Many of the cleared modern devices claim predicates based on subsequently recalled prostheses.