Optimizing Surgical Outcomes for Intracranial Epidermoid Tumors: A Retrospective Analysis of Clinical Predictors, Surgical Decisions, and Patient Clustering.

BACKGROUND/OBJECTIVE: Intracranial epidermoid tumors (ETs) are rare, benign lesions that present significant challenges in neurosurgical management due to their propensity to encase vital neurovascular structures. We aimed to evaluate the impact of clinical, demographic, and tumor-specific factors on surgical decisions (gross total resection [GTR] vs. subtotal resection [STR]) and outcomes and identify patient clusters with distinct profiles and outcomes post-resection. METHODS: We retrospectively analyzed 72 patients with ET treated from 1998 to 2022, employing multivariable logistic regression for GTR versus STR predictors and Kaplan-Meier curves for progression-free survival (PFS). K-prototype clustering classified patients based on clinical data. RESULTS: The mean age of our cohort was 39.8 ± 20.1 years. About 13.9% of patients had a recurrence, with a median PFS of 108 months (interquartile range: 57 -206). Seizures significantly predicted GTR (P < 0.05), whereas adherence to critical structures reduced GTR likelihood (P < 0.05). Initial surgeries more often achieved GTR, correlating with longer PFS (P < 0.0001) and reduced recurrence (P < 0.01) versus re-operations. Cluster analysis identified three distinct groups, with the initial GTR cluster showing superior PFS and the lowest recurrence (P < 0.0001 and P < 0.01, respectively). Statistically significant predictors of PFS included age and preoperative seizure presence, with older age favoring longer PFS (P < 0.01) and seizures associated with reduced PFS (P < 0.01). In addition, patients with previous surgeries showed a trend toward shorter PFS (P < 0.05). CONCLUSIONS: This study emphasizes the importance of tailored surgical strategies in managing intracranial ETs, advocating for GTR to optimize long-term outcomes where possible. Future prospective studies are essential to further refine treatment approaches, enhancing survival for ET patients.

Racial and ethnic disparities in reception of muscle flap closure during oncologic spinal surgery.

BACKGROUND: Racial disparities persist in surgical outcomes after spine surgery for primary and metastatic cancers. Muscle flap closure of spinal defects after oncologic resection has been shown to reduce wound complication rate with favorable cost-effectiveness. It is currently unknown whether racial disparities may affect the reception of this treatment. METHODS: Spinal surgery procedures for tumor resection and subsequent reconstruction were identified in the 2011-2022 National Surgical Quality Improvement Program databases. Cases were propensity score matched for covariates like age, comorbidities, number of vertebral levels reconstructed, and length of stay to isolate the predictive impact of race on reception of muscle flap closure (p < 0.05). RESULTS: A total of 9467 patients who underwent oncologic spine surgery and had known race and ethnicity were identified in the final cohort. Two hundred thirty-two (2.5%) cases included muscle flap closure during the index surgery. After matching (n = 4196), minority race/ethnicity was associated with lower rates of muscle flap closure (2.2%) than non-Hispanic White race/ethnicity (3.8%) (p = 0.0037). Upon weighted univariate logistic regression, minority racial and ethnic identification also predicted lower likelihood of muscle flap closure (OR: 0.57, 95% CI: 0.52-0.63, p < 0.001). Among patients who received muscle flap closure, the overall rate of all major or minor thirty-day postoperative complications was not different depending on race and ethnicity (p > 0.05). CONCLUSION: There are evident racial disparities in the reception of muscle flap closure after oncologic spine surgery. Further work may investigate the role of intersecting socioeconomic factors like insurance status and hospital characteristics. LAY SUMMARY: Muscle flap closure is a surgical technique within plastic surgery that has been associated with lower rates of complications after spine surgery to remove tumors. Our study shows that minority racial and ethnic groups are less likely on average to receive muscle flap closure.

Biomarkers of immunotherapy in glioblastoma.

Glioblastoma (GBM) is the most common primary brain cancer, comprising half of all malignant brain tumors. Patients with GBM have a poor prognosis, with a median survival of 14-15 months. Current therapies for GBM, including chemotherapy, radiotherapy, and surgical resection, remain inadequate. Novel therapies are required to extend patient survival. Although immunotherapy has shown promise in other cancers, including melanoma and non-small lung cancer, its efficacy in GBM has been limited to subsets of patients. Identifying biomarkers of immunotherapy response in GBM could help stratify patients, identify new therapeutic targets, and develop more effective treatments. This article reviews existing and emerging biomarkers of clinical response to immunotherapy in GBM. The scope of this review includes immune checkpoint inhibitor and antitumoral vaccination approaches, summarizing the variety of molecular, cellular, and computational methodologies that have been explored in the setting of anti-GBM immunotherapies.

Socioeconomic status and pediatric cochlear implant usage during COVID-19.

OBJECTIVE: COVID-19 (COVID) delayed access to speech and hearing services. The objective of this study was to identify interactions between socioeconomic status (SES) and cochlear implant (CI) usage during COVID. METHODS: Consecutive pediatric patients (age 0-17) with CI and audiology visits between 2019 and 2022 at a tertiary care children's hospital were reviewed. Age, sex, race, insurance type, and proxy measures for SES using zip code were recorded. Hours spent with CI on and in different listening environments were compared between pre-COVID (1/1/2019-12/31/2019), COVID (4/1/2020-3/31/2021), and most recent (6/1/2021-5/31/2022) time periods. RESULTS: Most patients were male (32/59, 54 % ears of 48 patients) and White, non-Hispanic (45/59, 76 %). Median age at implant was 2.0 years (range:0.6-12.2). There were no significant differences in hours spent with CI on during COVID compared with pre-COVID. However, children spent more time listening to louder noises (70-79 dB and ≥80 dB) recently compared with during COVID (p = 0.01 and 0.006, respectively). During COVID, children living in areas with greater educational attainment showed smaller reductions in total hours with CI on (ß = 0.1, p = 0.02) and hours listening to speech in noise (ß = 0.03, p = 0.005) compared with pre-COVID. In the most recent time period, children of minority race (ß = -3.94 p = 0.008) and those who were older at implant (ß = -0.630, p = 0.02) were more likely to experience reductions in total hours with CI on compared with during COVID. CONCLUSION: Interventions which mitigate barriers of implant use and promote rich listening home-environments for at risk populations should be implemented during challenging future social and environmental conditions.

Systematic review and meta-analysis of topical tranexamic acid in spine surgery.

OBJECTIVE: Tranexamic acid (TXA) is an antifibrinolytic drug associated with reduced blood loss in a range of surgical specialties, including neurosurgery, orthopedic surgery, and cardiac surgery. Concerns about venous thromboembolism and seizures from intravenous (IV) TXA have led to increased use of topical TXA. Given the relative scarcity of the literature on topical TXA compared with that on IV TXA within neurosurgery, the authors aimed to conduct a systematic review and meta-analysis on the safety, efficacy, and optimal administration of topical TXA in a wide range of spinal procedures and pathologies. METHODS: The PRISMA guidelines, Cochrane risk of bias tool, and Newcastle-Ottawa Scale were used to extract randomized controlled trials and high-quality case-control and cross-sectional/cohort studies (adult studies only) from PubMed, Web of Science, Cochrane Library, and Embase published between 2016 and 2023. Studies were analyzed by two independent reviewers for variables including dosage, TXA administration route, type of spine procedure, blood loss, adverse events including thromboembolism and infection, postoperative hemoglobin level, and hospitalization length. Pooled analysis comparing intraoperative and postoperative blood loss, postoperative hemoglobin levels, and hospitalization length of stay on the basis of route of TXA administration was conducted. RESULTS: Four cohort studies, 1 cross-sectional study, 1 case-control study, and 12 randomized controlled trials, together involving 2045 patients, were included. The most common route of topical TXA administration was via TXA in saline solution. Other routes of topical TXA included retrograde injection and TXA-soaked Gelfoam. In pooled analysis, topical TXA significantly reduced visible blood loss (standardized mean difference [SMD] -0.22, 95% CI -0.45 to -0.00001), postoperative blood loss (SMD -1.63, 95% CI -2.03 to -1.22), and length of hospital stay (SMD -1.02, 95% CI -1.42 to -0.61), as well as higher postoperative hemoglobin (SMD 0.59, 95% CI 0.34-0.83), compared with non-TXA controls. No significant differences in outcomes were found between topical and IV TXA or between combined (topical and IV) and IV TXA. Thromboembolism and infection rates did not significantly differ between any TXA administration group and non-TXA controls. CONCLUSIONS: In pooled analyses, topical TXA was associated with decreased perioperative blood loss in a wide range of scenarios, including cervical spine surgery and thoracolumbar trauma, as well as in patients with a thromboembolic history.

Monitoring risk and preventing ischemic stroke in the very old.

INTRODUCTION: Stroke is a significant cause of death, and the leading cause of severe long-term disability for individuals over 80 (the very old), yet few studies of such risk factors for ischemic stroke, or the known mitigation techniques, in this population, and the evidence base regarding risk modification strategies in this susceptible population can be inconsistent and incomplete. This article examines current guidelines and evidence regarding medical management, lifestyle changes, and psychosocial interactions that can contribute to the primary and secondary prevention of ischemic stroke in the very old. AREAS COVERED: The authors conducted a literature search for ischemic stroke prevention and risk assessment in the elderly via PubMed. Furthermore, they describe current strategies for monitoring risk and preventing ischemic stroke in the elderly population. EXPERT OPINION: Ischemic stroke poses a significant health risk to the elderly, with prevention relying on managing modifiable risk factors such as hypertension, atrial fibrillation, diabetes, and high cholesterol, as well as promoting healthy lifestyle choices like quitting smoking, regular physical activity and a heart-healthy diet. Healthcare providers must adopt a multifaceted approach, addressing individual and population-level factors while remaining vigilant in monitoring and managing risk factors to reduce the incidence and impact of stroke in older adults.

Role of gC1qR as a modulator of endothelial cell permeability and contributor to post-stroke inflammation and edema formation.

Ischemic stroke is a leading cause of death and disability worldwide. A serious risk of acute ischemic stroke (AIS) arises after the stroke event, due to inflammation and edema formation. Inflammation and edema in the brain are mediated by bradykinin, the formation of which is dependent upon a multi-ligand receptor protein called gC1qR. There are currently no preventive treatments for the secondary damage of AIS produced by inflammation and edema. This review aims to summarize recent research regarding the role of gC1qR in bradykinin formation, its role in inflammation and edema following ischemic injury, and potential therapeutic approaches to preventing post-stroke inflammation and edema formation.

Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.

OBJECTIVE: The purpose of this study was to evaluate the performance of different supervised machine learning algorithms to predict achievement of minimum clinically important difference (MCID) in neck pain after surgery in patients with cervical spondylotic myelopathy (CSM). METHODS: This was a retrospective analysis of the prospective Quality Outcomes Database CSM cohort. The data set was divided into an 80% training and a 20% test set. Various supervised learning algorithms (including logistic regression, support vector machine, decision tree, random forest, extra trees, gaussian naïve Bayes, k-nearest neighbors, multilayer perceptron, and extreme gradient boosted trees) were evaluated on their performance to predict achievement of MCID in neck pain at 3 and 24 months after surgery, given a set of predicting baseline features. Model performance was assessed with accuracy, F1 score, area under the receiver operating characteristic curve, precision, recall/sensitivity, and specificity. RESULTS: In total, 535 patients (46.9%) achieved MCID for neck pain at 3 months and 569 patients (49.9%) achieved it at 24 months. In each follow-up cohort, 501 patients (93.6%) were satisfied at 3 months after surgery and 569 patients (100%) were satisfied at 24 months after surgery. Of the supervised machine learning algorithms tested, logistic regression demonstrated the best accuracy (3 months: 0.76 ± 0.031, 24 months: 0.773 ± 0.044), followed by F1 score (3 months: 0.759 ± 0.019, 24 months: 0.777 ± 0.039) and area under the receiver operating characteristic curve (3 months: 0.762 ± 0.027, 24 months: 0.773 ± 0.043) at predicting achievement of MCID for neck pain at both follow-up time points, with fair performance. The best precision was also demonstrated by logistic regression at 3 (0.724 ± 0.058) and 24 (0.780 ± 0.097) months. The best recall/sensitivity was demonstrated by multilayer perceptron at 3 months (0.841 ± 0.094) and by extra trees at 24 months (0.817 ± 0.115). Highest specificity was shown by support vector machine at 3 months (0.952 ± 0.013) and by logistic regression at 24 months (0.747 ± 0.18). CONCLUSIONS: Appropriate selection of models for studies should be based on the strengths of each model and the aims of the studies. For maximally predicting true achievement of MCID in neck pain, of all the predictions in this balanced data set the appropriate metric for the authors' study was precision. For both short- and long-term follow-ups, logistic regression demonstrated the highest precision of all models tested. Logistic regression performed consistently the best of all models tested and remains a powerful model for clinical classification tasks.