Prediction of Non-Home Discharge Following Total Hip Arthroplasty in Geriatric Patients.

Introduction: The majority of total hip arthroplasty (THA) patients are discharged home postoperatively, however, many still require continued medical care. We aimed to identify important characteristics that predict nonhome discharge in geriatric patients undergoing THA using machine learning. We hypothesize that our analyses will identify variables associated with decreased functional status and overall health to be predictive of non-home discharge. Materials and Methods: Elective, unilateral, THA patients above 65 years of age were isolated in the NSQIP database from 2018-2020. Demographic, pre-operative, and intraoperative variables were analyzed. After splitting the data into training (75%) and validation (25%) data sets, various machine learning models were used to predict non-home discharge. The model with the best area under the curve (AUC) was further assessed to identify the most important variables. Results: In total, 19,840 geriatric patients undergoing THA were included in the final analyses, of which 5194 (26.2%) were discharged to a non-home setting. The RF model performed the best and identified age above 78 years (OR: 1.08 [1.07, 1.09], P < .0001), as the most important variable when predicting non-home discharge in geriatric patients with THA, followed by severe American Society of Anesthesiologists grade (OR: 1.94 [1.80, 2.10], P < .0001), operation time (OR: 1.01 [1.00, 1.02], P < .0001), anemia (OR: 2.20 [1.87, 2.58], P < .0001), and general anesthesia (OR: 1.64 [1.52, 1.79], P < .0001). Each of these variables was also significant in MLR analysis. The RF model displayed good discrimination with AUC = .831. Discussion: The RF model revealed clinically important variables for assessing discharge disposition in geriatric patients undergoing THA, with the five most important factors being older age, severe ASA grade, longer operation time, anemia, and general anesthesia. Conclusions: With the rising emphasis on patient-centered care, incorporating models such as these may allow for preoperative risk factor mitigation and reductions in healthcare expenditure.

Prediction of suitable outpatient candidates following revision total knee arthroplasty using machine learning.

Aims: To identify variables independently associated with same-day discharge (SDD) of patients following revision total knee arthroplasty (rTKA) and to develop machine learning algorithms to predict suitable candidates for outpatient rTKA. Methods: Data were obtained from the American College of Surgeons National Quality Improvement Programme (ACS-NSQIP) database from the years 2018 to 2020. Patients with elective, unilateral rTKA procedures and a total hospital length of stay between zero and four days were included. Demographic, preoperative, and intraoperative variables were analyzed. A multivariable logistic regression (MLR) model and various machine learning techniques were compared using area under the curve (AUC), calibration, and decision curve analysis. Important and significant variables were identified from the models. Results: Of the 5,600 patients included in this study, 342 (6.1%) underwent SDD. The random forest (RF) model performed the best overall, with an internally validated AUC of 0.810. The ten crucial factors favoring SDD in the RF model include operating time, anaesthesia type, age, BMI, American Society of Anesthesiologists grade, race, history of diabetes, rTKA type, sex, and smoking status. Eight of these variables were also found to be significant in the MLR model. Conclusion: The RF model displayed excellent accuracy and identified clinically important variables for determining candidates for SDD following rTKA. Machine learning techniques such as RF will allow clinicians to accurately risk-stratify their patients preoperatively, in order to optimize resources and improve patient outcomes.

Predicting five-year mortality in soft-tissue sarcoma patients.

Aims: The aim of this study was to identify factors associated with five-year cancer-related mortality in patients with limb and trunk soft-tissue sarcoma (STS) and develop and validate machine learning algorithms in order to predict five-year cancer-related mortality in these patients. Methods: Demographic, clinicopathological, and treatment variables of limb and trunk STS patients in the Surveillance, Epidemiology, and End Results Program (SEER) database from 2004 to 2017 were analyzed. Multivariable logistic regression was used to determine factors significantly associated with five-year cancer-related mortality. Various machine learning models were developed and compared using area under the curve (AUC), calibration, and decision curve analysis. The model that performed best on the SEER testing data was further assessed to determine the variables most important in its predictive capacity. This model was externally validated using our institutional dataset. Results: A total of 13,646 patients with STS from the SEER database were included, of whom 35.9% experienced five-year cancer-related mortality. The random forest model performed the best overall and identified tumour size as the most important variable when predicting mortality in patients with STS, followed by M stage, histological subtype, age, and surgical excision. Each variable was significant in logistic regression. External validation yielded an AUC of 0.752. Conclusion: This study identified clinically important variables associated with five-year cancer-related mortality in patients with limb and trunk STS, and developed a predictive model that demonstrated good accuracy and predictability. Orthopaedic oncologists may use these findings to further risk-stratify their patients and recommend an optimal course of treatment.

Ballistic diaphyseal forearm fractures result in high incidence of neurovascular injury and compartment syndrome but have low rates of early infection: A single level I trauma center experience.

INTRODUCTION: Ballistic injuries to the upper extremity represent a small subset of injuries, and there is little data to provide guidance on management and outcomes. The purpose of this study is to assess the incidence of neurovascular injuries, compartment syndrome, and early postoperative infection, as well as patient and injury factors predictive of neurovascular injury following ballistic fractures of the forearm. PATIENTS AND METHODS: A retrospective review of operatively treated ballistic forearm fractures at a single level I trauma center between 2010 and 2022 was performed. Thirty-three patients with 36 forearm fractures were identified. Only diaphyseal injuries in patients greater than 18 years old were included. Medical and radiographic records were reviewed to identify pre-injury patient-specific factors, including age, sex, smoking status, and history of diabetes. Injury characteristics, including the type of firearm used, forearm fracture location, and any associated neurologic or vascular injury, as well as compartment syndrome, were collected and analyzed. Short-term outcomes such as post-operative infection and recovery of neurologic function were also collected and analyzed. RESULTS: The median age was 27 years (range: 18-62), with a majority of male patients (78.8%, n = 26). 4 patients (12.1%) sustained high-energy injuries. 4 patients (12.1%) were found to have compartment syndrome pre-operatively or intra-operatively. 11 patients (33.3%) had nerve palsies postoperatively with 8 patients (24.2%) continuing to have nerve palsies at their final follow-up (mean follow-up= 149.9 +/- 187.2 days). The median length of stay was 4 days. There were no patients with infection at follow-up. CONCLUSION: Ballistic forearm fractures are complex injuries and can result in severe complications such as neurovascular injury and compartment syndrome. As such, a comprehensive evaluation and appropriate management of ballistic forearm fractures are essential to minimize the risk of severe complications and optimize patient outcomes. In our experience, when treated operatively, these injuries have a low rate of infection.

Safety of Prepping the External Fixator In Situ During Staged Internal Fixation of Pilon Fractures: A Retrospective Comparative Cohort Study.

OBJECTIVE: (1) To assess the rate of fracture-related infection (FRI) and unplanned reoperation of disinfecting and prepping in the external fixator (Ex-Fix) instrument during definitive open reduction and internal fixation (ORIF) of pilon fractures treated by a staged protocol and (2) to determine whether the amount of time from external fixation to ORIF influences the risk of FRI. DESIGN: Retrospective cohort study. SETTING: Level 1 academic trauma center. PATIENTS: One hundred thirty-three patients who underwent operative treatment for pilon fracture between 2010 and 2020. INTERVENTION: External fixation and ORIF with or without the Ex-Fix prepped in situ during definitive fixation. MAIN OUTCOME MEASUREMENTS: FRI and unplanned reoperation rates. RESULTS: 133 patients were enrolled, of which 47 (35.3%) had Ex-Fix elements prepped in situ. There was an overall infection rate of 23.3% and unplanned reoperation rate of 11.3%, and there was no significant difference in rates between the 2 cohorts. Patients with Ex-Fix elements prepped in situ who developed an FRI had a higher rate of MRSA and MSSA . Diabetes ( P = 0.0019), open fracture ( P = 0.0014), and longer (≥30 days) interval to ORIF ( P = 0.0001) were associated with postoperative FRI. CONCLUSIONS: Prepping elements of the Ex-Fix in situ did not lead to an increase in rates of FRI or unplanned reoperation. Although diabetes and open fracture were associated with FRI risk, a stronger association was a longer interval of Ex-Fix utilization before definitive internal fixation, specifically 30 days or greater. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

The role of HIV as a risk modifier for coronary endothelial function in young adults.

BACKGROUND: People living with HIV have an increased risk of cardiovascular disease (CVD). Although coronary endothelial function (CEF) is an early direct indicator of CVD, only a few studies have been able to interrogate CEF directly. Most studies have examined vascular endothelial function through indirect assessment of brachial flow-mediated dilatation (FMD). However, peripheral arteries are significantly larger and manifest atherogenesis differently from the coronary arteries, and so produce conflicting results. Additionally, none of these studies focused on young adults who acquired HIV perinatally or in early childhood. OBJECTIVE: The present study investigates CEF in a unique population of young adults with lifelong HIV using direct magnetic resonance imaging (MRI) of coronary FMD (corFMD) with an in-house developed MRI-integrated isometric handgrip exercise system with continuous feedback and monitoring mechanisms (fmIHE). METHODS: Young adults who acquired HIV perinatally or in early childhood (n = 23) and group-matched healthy participants (n = 12) completed corFMD-MRI with fmIHE. CorFMD was measured as the coronary cross-sectional area response to the fmIHE. RESULTS: In univariable and multivariable regression analysis, HIV status was a significant risk modifier. CD8+ T-cell count and smoking pack-years and their interaction with HIV status were independently associated with impaired coronary artery response to fmIHE. In people living with HIV, corFMD was significantly inversely correlated with CD8+ T-cells and smoking pack-years. In a multivariable regression analysis adjusted for age and body mass index, CD8+ T-cells and smoking and their interaction with HIV status remained significant independent predictors of coronary endothelial dysfunction. DISCUSSION: In this unique population of young adults, HIV status was a significant risk modifier, and immune activation and smoking were associated with decreased CEF, directly measured from the coronary vascular response to fmIHE. CONCLUSIONS: Management of CVD risk factors such as smoking and developing strategies that target immune activation in people living with HIV are warranted.

Scoliosis Surgery: A Social Media Analysis of Content, Tone, and Perspective.

INTRODUCTION: The purpose of this study was to analyze posts shared on social media sites, Twitter and Instagram, referencing scoliosis surgery for tone, content, and perspective of the posts. METHODS: Public Twitter and Instagram posts from November 2020 to April 2021 were isolated using the hashtag #ScoliosisSurgery or the words "scoliosis surgery." A total of 5,022 Instagram and 1,414 Twitter posts were collected, of which 500 of each were randomly selected to be analyzed by the authors for the variables previously listed. RESULTS: Of the Instagram posts, 91.8% were associated with an image, and 47.8% were postoperative. 96.9% of the posts had either a positive or neutral tone. 38% delivered a progress update, and 29.9% disseminated education or sought to provide awareness. 48.6% of the posts were from the perspective of the patient. Of the Twitter posts, 60.1% contained only words, and 37.8% were postoperative. 75% of the posts had either a negative or neutral tone. 38.4% described a personal story, and 19.3% provided a progress update. 42.3% of the posts were from the perspective of the patient. CONCLUSION: Patients reported a positive tone on Instagram, displaying their progress updates and demonstrating contentment with scoliosis surgery, and a negative tone on Twitter, showing discontentment toward inadequate access to surgery. Although both platforms were used to distribute information and provide awareness, only a small percentage of posts were from physicians and hospitals, indicating opportunities for surgeons to use social media to connect with patients.

Fatigue Failure of Semiconstrained Total Knee Replacement: Magnetic Resonance Imaging Diagnosis With Tips and Tricks for Extraction and Reconstruction.

Modular components allow for the precise adjustment of sizing and balancing in knee replacement and are widely used in revision total knee arthroplasty. While they have a significant advantage over monoblock implants, these components may be associated with fretting and corrosion at modular junctions. We report the case of a fracture of a morse taper adapter bolt in a 65-year-old female with a history of multiple revision knee arthroplasties. Only a few cases of fracture of the taper adapter bolt have been previously reported. We reinforce 2 learning points in this report: the utility of magnetic resonance imaging as an aid in diagnosing total knee failure when initial radiographs are unremarkable and the use of techniques such as anterior quadrangular femoral osteotomy when an implant is unable to be removed via conventional techniques.

Optimizing Total Joint Arthroplasty for Patients Living With Human Immunodeficiency Virus.

Introduction Significant advancements in human immunodeficiency virus (HIV) treatment have led to an increasing life expectancy among patients living with HIV (PLWH). Given this rise in life expectancy, as well as the ability to lead a more active lifestyle, the rate of total joint arthroplasty (TJA) in this population is increasing. Unfortunately, the current medical literature surrounding the safety and efficacy of TJA in this patient population is indeterminant. Therefore, the purpose of this study was to determine if optimization of PLWH prior to TJA would result in any changes in the incidence of postoperative complications and hospital length of stay (LOS) when compared to historically reported data.  Materials and methods A retrospective study was performed of all PLWH 18 years and older who underwent either a primary total knee arthroplasty (TKA) or total hip arthroplasty (THA) between 2009 and 2019 at our academic institution. Medical records were reviewed for each patient to assess demographics, comorbidities, preoperative laboratory studies, operative details, length of hospital stay, complications, and follow-up time. Patients were optimized using our institution's current optimization guidelines: body mass index (BMI) less than 40 kg/m2, hemoglobin >12 g/dL, no tobacco use within 30 days of surgery, albumin >3.5 g/dL. Independent-sample t-tests and Pearson's chi-square tests were used to evaluate the continuous and categorical variables, respectively. Results This study included 47 TJA in PLWH, including 14 TKA and 33 THA. Out of the 47 patients, 13 (27.7%) were fully optimized for all four variables: BMI, hemoglobin, non-smoking status, and albumin. There was no significant difference between the group of PLWH that was completely optimized and the group that was not in any patient characteristics, preoperative labs, intraoperative variables, or postoperative variables, including length of hospital stay and complications. A larger proportion of patients not completely optimized was found to be active smokers (p=0.0003). All complications occurred in cases in which the patients were not fully optimized. Subgroup analysis of PLWH, who were completely optimized, showed an average LOS of 4.3+/-1.5 days following TKA and 2.9+/-1.1 days following THA. Subgroup analysis of PLWH not completely optimized showed that each case was optimized for at least one variable and that those optimized for albumin had the largest (12.2%) number of complications. Conclusion PLWH can achieve a low rate of complications and LOS similar to that of the general population if medically and nutritionally optimized. Additional research is necessary to reveal well-defined parameters for achieving a higher rate of optimization prior to surgery in this important patient population.

Risk Factors for Infection and Subsequent Adverse Clinical Results in the Setting of Operatively Treated Pilon Fractures.

OBJECTIVE: To determine patient-specific and injury-specific factors that may predict infection and other adverse clinical results in the setting of tibial pilon fractures. DESIGN: Retrospective chart review. SETTING: Level 1 academic trauma center. PATIENTS: Two hundred forty-eight patients who underwent operative treatment for tibial pilon fractures between 2010 and 2020. INTERVENTION: External fixation and/or open reduction and internal fixation. MAIN OUTCOME MEASUREMENTS: Fracture-related infection rates and specific bacteriology, risk factors associated with development of a fracture-related infection, and predictors of adverse clinical results. RESULTS: Two hundred forty-eight patients were enrolled. There was an infection rate of 21%. The 3 most common pathogens cultured were methicillin-resistant Staphylococcus aureus (20.3%), Enterobacter cloacae (16.7%), and methicillin-resistant Staphylococcus aureus (15.5%). There was no significant difference in age, sex, race, body mass index, or smoking status between those who developed an infection and those who did not. Patients with diabetes mellitus ( P = 0.0001), open fractures ( P = 0.0043), and comminuted fractures (OTA/AO 43C2 and 43C3) ( P = 0.0065) were more likely to develop a fracture-related infection. The presence of a polymicrobial infection was positively associated with adverse clinical results ( P = 0.006). History of diabetes was also positively associated with adverse results ( P = 0.019). CONCLUSIONS: History of diabetes and severe fractures, such as those that were open or comminuted fractures, were positively associated with developing a fracture-related infection after the operative fixation of tibial pilon fractures. History of diabetes and presence of a polymicrobial infection were independently associated with adverse clinical results. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Associations Between Central Obesity and Lifelong Antiviral Therapy in Adults Living With HIV Acquired From Early Childhood.

BACKGROUND: Little is known regarding the long-term effects of antiretroviral (ARV) exposure on body composition for people living with HIV (PLWH) since early childhood. This study explores changes in body fat distribution in relation to ARV exposure. METHODS: We conducted a prospective study of adults with perinatal HIV (n = 70) using dual-energy X-ray absorptiometry and standard anthropometrics. Trunk to limb fat ratio and waist to hip ratio were compared cross-sectionally to 47 matched controls. Furthermore, changes in body composition and ARV exposure were evaluated longitudinally in a subset of 40 PLWH with a median follow-up of 7 years. RESULTS: Cross-sectional comparisons of PLWH with controls revealed significantly higher waist to hip ratio, trunk to limb fat ratio, HOMA-IR, and triglycerides, whereas BMI did not differ. Among PLWH with longitudinal follow-up, the prevalence of overweight increased from 27.5% to 52.5% and obesity from 12.5% to 25%; waist to hip and trunk to limb fat ratios also increased (P < 0.0001). Changes in waist to hip ratio were positively correlated with longer exposure during follow-up to darunavir (r = 0.36; P = 0.02), whereas increases in trunk to limb fat ratio were positively correlated with longer exposure to stavudine (r = 0.39; P = 0.01) and didanosine (r = 0.39; P = 0.01) but inversely associated with emtricitabine (r = -0.33; P = 0.04). Increases in waist to hip ratio were correlated with increases in triglyceride levels (r = 0.35; P = 0.03). CONCLUSION: This study presents strong evidence for persistent and worsening central adiposity in young adults with lifelong HIV and extensive ARV exposure. As this cohort ages, continued evaluation of the body composition and metabolic impact of lifelong ARV therapy is warranted to optimize long-term health.