Citations

ABSTRACT Background Transvenous lead removal (TLR) is a Class I indication for patients with cardiac implantable electronic device (CIED) infections. However, disparities in the utilization of TLR have not been fully explored, particularly concerning demographic and socioeconomic factors. Objectives This study aims to examine whether disparities exist among patients hospitalized for CIED infections with respect to the utilization of TLR, focusing on sex, race, and income characteristics. Methods We utilized the 2019 National Inpatient Sample (NIS) to assess patients hospitalized with CIED infections and identify those who underwent TLR. Multiple logistic regression was used to examine risk factors for TLR utilization, including age, sex, race/ethnicity, and socioeconomic characteristics. Results A total of 56 709 patients were hospitalized for CIED infection in the United States in 2019, of which 9867 (17.4%) underwent TLR. On an adjusted analysis, females and Black patients were found to have lower odds of undergoing TLR compared to males and White patients (OR: 0.62; 95% CI: 0.59–0.78; p < 0.01; and OR: 0.47; 95% CI: 0.39–0.57; p < 0.01, respectively). Hispanic patients also had reduced odds of TLR (OR: 0.73; 95% CI: 0.58–0.93; p = 0.01). No significant associations were observed between income or insurance status and the likelihood of receiving TLR after adjustment. Conclusions This study identified significant disparities in the utilization of TLR among patients hospitalized for CIED infections. Female, Black, and Hispanic patients were significantly less likely to receive TLR.

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Traditional statistical methods have identified independent predictors of trial enrollment; however, our understanding of the interactions between these factors remains limited. To test the interactive effects of demographic, socioeconomic, and oncologic variables on trial enrollment, we designed boosted neural networks (BNNs) for all glioma patients ( n = 1042), women ( n = 445, 42.7%), and minorities ( n = 151, 14.5%) and externally validated these models [whole cohort, n = 230; women, n = 89 (38.7%); minority, n = 66 (28.7%)]. For the whole-cohort BNN, the most influential variables on enrollment were oncologic variables, including KPS [total effect (TE), 0.327], chemotherapy (TE, 0.326), tumor location (TE, 0.322), and seizures (TE, 0.239). The women-only BNN exhibited a similar trend. Conversely, for the minority-only BNN, socioeconomic variables [insurance status (TE, 0.213), occupation classification (TE, 0.204), and employment status (TE, 0.150)] were most influential. These results may help prioritize patient-specific initiatives to increase accrual.

Thymomas and thymic carcinomas are rare mediastinal tumors that originate in the thymus. Patients with thymoma may experience symptoms associated with autoimmune paraneoplastic diseases (such as myasthenia gravis), which typically do not occur in patients with thymic carcinoma. The NCCN Guidelines for Thymomas and Thymic Carcinomas provide guidance for the diagnosis, treatment, and surveillance of patients with thymoma and thymic carcinoma. Involvement of a multidisciplinary team with experience treating thymomas and thymic carcinomas is highly recommended.

This phase II trial of transoral surgery (TOS) with deintensified postoperative management in human papillomavirus (HPV)–associated oropharynx cancer (OPC) enrolled patients with resectable cT1-2 stage III/IV American Joint Committee on Cancer (AJCC) seventh edition p16+ OPC without matted neck nodes. Those with clear margins, 0-1 + nodes (LN), and no extranodal extension (ENE) were observed (arm A); those with clear margins, 2-4 + LN, or ENE ≤1 mm were randomly assigned to 50 Gy (arm B) or 60 Gy (arm C); and those with involved margins, >4 + LN, or >1 mm ENE received weekly cisplatin and 60-66 Gy (arm D). Among 359 evaluable patients, the 54-month progression-free (PFS) and overall survival (OS) were 90.6% (90% CI, 87.2% to 93.1%) and 95.3% (93.0% to 96.9%), respectively. The 54-month PFS by arm was A 93.2% (79.6% to 97.8%; all four recurrences among N1 patients), B 94.9% (89.7% to 97.5%), C 90.2% (82.7% to 94.6%), and D 85.5% (77.5% to 90.8%). The 54-month OS by arm was A 97.1% (85.7% to 99.4%), B 97.9% (93.5% to 99.3%), C 95.1% (90.1% to 97.6%), and D 92.5% (86.9% to 95.7%). PFS or OS did not differ by primary site or smoking history. TOS and neck dissection with deintensified postoperative management results in outstanding 54-month PFS and OS. Among patients with favorable pathologic characteristics, those with N1 disease are at risk of late recurrence without radiation.

Background: Over 2.3 million liposuctions are performed annually with a complication rate of approximately 5%, including a death rate of 1 in 5000 because of blood loss. Artificial intelligence models offer potential for improving blood loss prediction and management in these procedures, analyzing extensive data to identify risk factors and accurately estimate blood loss. Methods: Data from 721 large-volume liposuction patients at 2 centers in Bogotá, Colombia, and Loja, Ecuador, between 2019 and 2023 were evaluated. Both centers followed identical perioperative protocols. The data set was split into training (621 patients) and testing (100 patients) sets. A supervised machine learning model was trained to predict blood loss. Model predictions were compared with clinical data using statistical validation metrics. Results: Most patients were women (79.2%), with median values of age of 37 years; weight, 65 kg; height, 165 cm; body mass index, 24.34 kg/m²; volemia, 3924.41 mL; infiltrated volume, 5800 mL; and aspirated volume, 3900 mL. Previous liposuction was noted in 32%. No significant differences were found between training and testing cohorts. The model achieved a mean absolute error of 22.09 mL, root mean square error of 34.13 mL, and an R ² value of 0.974, indicating high predictive accuracy and excellent model fit. Conclusions: The authors’ study has developed and validated an accurate artificial intelligence–based model to predict blood loss in large-volume liposuction, showing 94.1% accuracy. The authors’ model enhances preoperative planning and intraoperative management, potentially reducing complications and improving outcomes.

Abstract Objective The successful diagnosis and classification of lymphoid neoplasms in blood and bone marrow is the responsibility of the practicing pathologist. This guide provides a general “roadmap” for this process, from initial case recognition to final classification. Methods The integration of hematologic, morphologic, immunophenotypic, and genetic features for the full spectrum of precursor and mature B-cell, T-cell, and natural killer–cell neoplasms that typically manifest in blood and bone marrow is included. Results Classification systems for lymphoid neoplasms provide criteria for pathologists to render a diagnosis that is optimal for patient care, treatment, and outcome prediction. Conclusions This guide provides diagnostic strategies for lymphoid neoplasms encountered in blood and bone marrow specimens using both the International Consensus Classification and the World Health Organization fifth edition classification systems. Key tips are provided for each entity along with testing requirements, differential diagnosis, nonneoplastic mimics, and other unique features based on the experience of the Bone Marrow Pathology Group members.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH), such as education, insurance, race, and income, significantly affect a patient's medical care and surgical outcomes. Additional studies characterizing the impact of SDOH on patients undergoing spine surgery are needed. Accordingly, this study evaluates the impact of SDOH on severity of symptoms at presentation and discharge disposition in patients undergoing surgical treatment of cervical myelopathy. METHODS: A retrospective single-center study identified adult patients undergoing surgical intervention for cervical myelopathy between 2016 and 2020. Cohort characteristics were collected from patient medical records. The t -test, Wilcoxon rank-sum, analysis of variance, Kruskal-Wallis, and χ 2 tests were used to compare variables when appropriate. Multivariable linear and logistic regression analyses were conducted for modified Japanese Orthopaedic Association (mJOA) and discharge disposition. All statistical analysis was performed in MATLAB R2022b (MathWorks, Natick, MA). RESULTS: A total of 480 patients were included in the study with a male predominance of n = 281 (59%) and a mean age of 62 ± 13 years. Racial demographics included 64% White (n = 308) and 36% Non-White (n = 172) patients. On univariable analysis, mJOA at presentation was significantly associated with employment status ( P < .01), annual income ( P < .01), education level ( P < .01), and insurance status ( P = .03). On multivariable analysis, annual income and education level continued to be significant predictors of presenting mJOA. On univariable analysis, discharge disposition was associated with body mass index ( P = .01), mJOA at presentation ( P < .01), employment status ( P = .05), annual income ( P < .01), education level ( P < .01), insurance ( P < .01), approach ( P < .01), and length of stay ( P < .01). On multivariable analysis, mJOA at presentation, education level, insurance, and approach continued to be significant predictors of discharge disposition. CONCLUSION: SDOH affect the severity of symptoms at presentation and discharge disposition in patients undergoing surgery for cervical myelopathy. Understanding these dynamics and uncovering additional SDOH are critical for enhancing surgical care and achieving equitable healthcare outcomes.

Numerous factors including social determinants of health, knowledge gaps, economic challenges, workforce limitations, and health system deficiencies are associated with significant disparities in access to health care services and health outcomes for people with epilepsy (PWE). The American Epilepsy Society (AES) and the International League Against Epilepsy—North America (ILAE-NA) established a joint task force to explore and develop recommendations to address health care disparities experienced by PWE. The task force gathered foundational knowledge through meetings, public and patient organization comments and discussions to develop consensus recommendations. We enumerate the recommendations and discuss the rationale behind them to reduce disparities in epilepsy care through comprehensive research, inclusive clinical practices, robust advocacy, and targeted educational initiatives. While our recommendations are focused on the United States, we acknowledge that similar barriers and limitations exist for PWE globally and that these also need to be addressed within their local domains and with attention to unique factors therewithin.

Background: Despite mounting clinical evidence for the utility of orthobiologics in nonoperative management of orthopaedic pathology, the market for orthobiologic therapies remains largely unregulated by the Food and Drug Administration, giving rise to a wide range of pricing for these therapeutics by different provider types. Purpose: To determine the availability and pricing for platelet-rich plasma (PRP), amniotic or adipose “stem cell,” and bone marrow aspirate concentrate (BMC) injections for the treatment of knee osteoarthritis among orthopaedic sports medicine and alternative providers (eg, chiropractic clinics and stand-alone “regenerative medicine” clinics) in a major metropolitan city. Study Design: Cross-sectional study. Methods: Orthopaedic sports medicine providers in the Chicagoland area were identified through the American Orthopaedic Society for Sports Medicine (AOSSM) and Arthroscopy Association of North America (AANA) surgeon databases. Alternative clinics offering orthobiologic injections were systematically compiled using Yelp! and Google search listings and reviews. Clinics were contacted using a standardized telephone script. Data were collected for each site on the types of injections offered, whether price was disclosed over the telephone, the price of injections offered, and the source of stem cell injections if they were provided. Mann-Whitney U tests were used to compare the mean price between practices. F tests for equality of variances were used to compare the variability in prices between practice types. Results: A total of 25 unique orthopaedic sports medicine practices (comprising 80 AOSSM/AANA surgeons) and 40 alternative clinics offered PRP, stem cell, and/or BMC injections, as indicated over the telephone. There was no difference in likelihood of offering PRP ( P = .698) or BMC injections ( P = .340). However, alternative clinics were significantly more likely to offer stem cell injections ( P < .001). There was no difference in the willingness to disclose the price for PRP ( P = .269), stem cell injections ( P = .302), and BMC ( P = .528) or the source of what each clinic advertised as stem cell injections ( P = .630). The mean price for a single PRP injection was significantly higher ( P = .011) and significantly more variable ( F statistic = .139; P < .001) at alternative clinics. Similarly, the mean price for a single stem cell injection was significantly higher ( P < .001) and significantly more variable ( F statistic = 0.080; P = .025) at alternative clinics. Conclusion: This study demonstrates that orthobiologic knee injections are highly prevalent for in-clinic use within the Chicago metropolitan area, with PRP being the most commonly used therapeutic. When compared with orthopaedic sports medicine providers, alternative clinics were more likely to offer stem cell injections and charge a significantly greater and more variable amount per PRP and stem cell treatment.

Abstract INTRODUCTION Plasma biomarkers of Alzheimer's disease (AD) represent accessible alternatives to positron emission tomography (PET) and cerebrospinal fluid (CSF)‐based biomarkers in well‐characterized cohorts. It remains to be determined whether performance is maintained in outpatient clinics comprised of patients with multiple causes of cognitive impairment. METHODS Plasma phosphorylated tau217 (p‐tau217) and amyloid beta (Aβ) 42/40 were measured in 509 patients evaluated in a tertiary‐care memory clinic. Biomarker performance was compared across diagnoses, referencing established cutpoints for positive and negative biomarkers. RESULTS Plasma p‐tau217 distinguished patients with diagnoses of symptomatic AD with 95% sensitivity and 82% specificity. Integration of Aβ42 measurements (p‐tau217/Aβ42) incrementally improved specificity (86%). Plasma p‐tau217 and p‐tau217/Aβ42 concentrations closely associated with established CSF biomarkers of AD (area under the curve [AUC]: 0.94 and 0.96, respectively). Reduced kidney function associated with elevated plasma p‐tau217 and p‐tau217/Aβ42 concentrations in patients without AD (referencing CSF biomarkers). DISCUSSION Plasma p‐tau217 and p‐tau217/Aβ42 concentrations demonstrated robust diagnostic performance in a heterogeneous clinical cohort; interpretation requires consideration of kidney function. Highlights Plasma phosphorylated tau217 (p‐tau217) reliably identified clinic patients with Alzheimer's disease. A two‐cutpoint strategy yielded definitive results in 86% of patients. Integration of plasma amyloid beta (Aβ; p‐tau217/Aβ42) minimally improved diagnostic performance. Plasma p‐tau217 levels were increased in patients with kidney dysfunction.