Essibayi, Muhammed Amir

BACKGROUND AND OBJECTIVES: Medical management options for nontraumatic subdural hematoma (SDH) remain limited, with only atorvastatin demonstrating benefit in a single phase 2 randomized clinical trial and mixed evidence for dexamethasone. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may benefit SDH outcomes. The objective of this study was to evaluate the association between GLP-1 RA use and rescue surgery rates and mortality in patients with medically managed nontraumatic SDH. METHODS: We conducted a retrospective cohort study using the TriNetX database from 2016 to 2025, including adults with SDH who were managed conservatively without surgical evacuation or middle meningeal artery embolization. Patients prescribed GLP-1 RAs were compared with nonusers. After propensity matching, rescue surgical evacuation, all-cause mortality at 1 year, and GLP-1 RA–associated adverse events were analyzed. RESULTS: A total of 134 901 patients with conservatively managed nontraumatic SDH were identified, of whom 1470 (1.1%) were GLP-1 RA users. After propensity score matching, 2922 patients remained, with 1461 in each group. At 1 year, GLP-1 RA users experienced significantly lower rates of rescue surgery (2.23% vs 3.51%; P = .046), culminating in an overall 38% reduction in relative hazard. All-cause mortality was also significantly lower for GLP-1 RA users at 1 year (16.1% vs 23.7%, P < .001), reflecting a 33% reduction in hazards. GLP-1 RA users did not experience different rates of adverse events, such as pancreatitis, gallbladder disease, or ileus/bowel obstruction (all P > .05). CONCLUSION: Among patients with medically managed nontraumatic SDH, GLP-1 RA use was associated with significantly lower rates of rescue surgery and all-cause mortality without significantly increased risk of common GLP-1 RA–related complications.

BACKGROUND: Unruptured intracranial aneurysms (UIAs) affect up to 5% of the population, and rupture can lead to devastating subarachnoid hemorrhage. GLP-1RAs (glucagon-like peptide-1 receptor agonists) have anti-inflammatory and vasculoprotective effects, but their impact on aneurysm stability and subarachnoid hemorrhage outcomes is unexplored. This study evaluated whether GLP-1RA use is associated with reduced rupture risk and attenuated severity in the event of a rupture. METHODS: We conducted a retrospective cohort study using the TriNetX US Collaborative Network (2016–2024). Cohort 1 included patients with newly diagnosed, untreated UIA; cohort 2 included those who suffered aneurysm rupture. GLP-1RA exposure was defined as use before or within 3 months of UIA diagnosis (cohort 1) or before rupture (cohort 2). The primary outcome was aneurysm rupture risk in cohort 1. Secondary outcomes include presentation severity, vasospasm, and mortality in cohort 2. Propensity score matching balanced demographics, comorbidities, and medications. RESULTS: After propensity score match, cohort 1 of patients with untreated UIA included 8088 GLP-1RA users and 8088 nonusers. GLP-1RA use was associated with significantly lower probabilities of aneurysm rupture at 1-year (0.65% versus 1.51%; P <0.001), 3-year (1.18% versus 1.85%; P <0.001), and 5-year (1.49% versus 2.10%; P <0.001) timepoints, representing a 48% decrease in hazards (hazard ratio, 0.52 [95% CI, 0.38–0.69]). Among patients who suffered aneurysm rupture (cohort 2, N=298 after propensity score match), prerupture GLP-1RA use (n=149) was associated with lower rates of intraparenchymal hemorrhage (17.4% versus 33.6%; P <0.001), intraventricular hemorrhage (10.1% versus 23.5%; P <0.001), and clinically significant vasospasm (10.7% versus 24.2%; P =0.002), as well as numerically lower rates of 30-day mortality (9.4% versus 14.1%; P =0.21). CONCLUSIONS: For patients with untreated UIA, GLP-1RA use was associated with a 48% reduction in aneurysm rupture risk and, among those who suffered aneurysm rupture, milder clinical and radiographic severity. These findings suggest possible neuroprotective and vascular stabilizing effects of GLP-1RAs for patients with UIA.

The classification and management of central nervous system (CNS) tumours have undergone substantial transformation over the past two decades, with the recognition of an expanding set of molecularly defined disease entities. Genome-wide DNA methylation profiling has emerged as an important complement to histopathology and targeted molecular testing, providing an epigenetic framework that captures tumour lineage, biological state and large-scale genomic alterations within a single assay. Accumulating evidence demonstrates that methylation-based approaches improve diagnostic precision, resolve biologically heterogeneous entities and support clinically meaningful risk stratification across a broad spectrum of CNS tumours. Methylation profiling has also increasingly been applied to outcome prediction, liquid biopsy-based analyses and the resolution of diagnostically challenging or misclassified cases. In addition, advances in multi-omic integration, computational inference from routinely acquired clinical data and evolving implementation frameworks are extending the clinical applicability of epigenetic profiling. This review synthesises the current state of DNA methylation profiling within the diagnostic and clinical framework of CNS tumours and considers how emerging technologies and practice models are shaping its ongoing integration into neuro-oncological care.

Background Dual antiplatelet therapy (DAPT) is recommended around carotid artery stenting (CAS) to reduce periprocedural stroke risk. Clopidogrel is widely used, but response variability related to pharmacokinetics and CYP2C19 polymorphisms may limit its effectiveness. Ticagrelor is a more potent, direct acting P2Y12 inhibitor, but its comparative effectiveness in CAS remains uncertain. Methods We conducted a retrospective cohort study in the TriNetX database, identifying adults with carotid artery stenosis who underwent CAS between January 2016 and August 2025 and received either ticagrelor or clopidogrel. Primary outcomes at 180 days included ischemic stroke, major hemorrhage, intracranial hemorrhage, and all cause mortality. Secondary outcomes included inpatient readmission and emergency department (ED) visits. Propensity score matching (1:1), Kaplan–Meier survival, and Cox proportional hazards analysis were used. Results Among 6996 patients, 378 received ticagrelor and 6618 received clopidogrel; aspirin co-use was similar (89.7% vs 91.7%). After matching, 377 patients remained in each cohort. Ischemic stroke (2.7% vs 4.2%; HR 0.56, 95% CI 0.25 to 1.27; P=0.159) and major hemorrhage (2.9% vs 4.8%; HR 0.61, 95% CI 0.29 to 1.30; P=0.197) were numerically lower with ticagrelor. Rates of intracranial hemorrhage were similar (2.7% vs 2.7%; HR 0.61, 95% CI 0.14 to 2.53; P=0.488). Mortality was numerically higher with ticagrelor (3.4% vs 2.7%; HR 1.64, 95% CI 0.68 to 3.97; P=0.263). ED visits were similar (14.3% vs 14.6%; HR 0.97, 95% CI 0.67 to 1.42; P=0.895). Inpatient readmission was numerically lower with ticagrelor (15.9% vs 19.1%; HR 0.81, 95% CI 0.57 to 1.14; P=0.223). Conclusion Ticagrelor and clopidogrel showed comparable safety and effectiveness following CAS. Future prospective genotype informed trials are warranted to confirm these findings.

Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Stereotactic radiosurgery was associated with a higher obliteration rate compared with embolization in patients with eloquent brain arteriovenous malformations, whereas there was no evidence of a difference in functional outcomes or complications after adjustment.

Background: Patients with acute ischemic stroke secondary to distal and medium vessel occlusion (AIS-DMVO) and minor strokes present a challenge in determining the most appropriate emergent treatment. Factors leading to early neurological deterioration (END) in this patient population are understudied, but END is known to result in poor functional outcomes. Therefore, we aimed to investigate the factors contributing to END in minor AIS-DMVO cases. Methods: We included patients with AIS-DMVO and minor strokes from 37 sites across North America, Asia, and Europe. Minor stroke was defined as a baseline National Institutes of Health Stroke Scale (NIHSS) score of ⩽5. The primary outcome measure, END, was defined as a shift of ⩾4 points in the NIHSS score at day one after treatment compared to baseline. Univariable and multivariable logistic regression analyses were performed to identify factors associated with END. Results: Among 559 consecutive patients with DMVO and minor strokes, END was reported in 68 patients. In multivariable analysis, mechanical thrombectomy (MT) was independently associated with higher odds of END (adjusted odds ratio [aOR] 2.37, 95% CI 1.12–5.02, p = 0.02), while intravenous thrombolysis (IVT) was associated with lower odds of END (aOR 0.46, 95% CI 0.26–0.81, p = 0.008). However, the association between MT and END was no longer statistically significant in the IPTW-adjusted analysis (OR 1.65, 95% CI 0.69–3.98, p = 0.26). Hypertension and antiplatelet use at baseline were also independently associated with END. Among MT-treated patients, successful and excellent recanalization and first-pass effect were protective against END. Conclusion: MT was associated with END in patients with minor AIS-DMVO, although this association was not significant after IPTW adjustment. IVT was independently associated with reduced risk of END. These findings support careful patient selection and further study in randomized trials.

Purpose Aneurysmal rupture and subarachnoid hemorrhage (SAH) have an exceptionally high mortality and morbidity burden. The aim of this study was to develop interpretable machine learning models for predicting short-term poor outcomes defined by the National Inpatient Sample Subarachnoid Hemorrhage Outcome Measure (NIS-SOM). Methods The National Inpatient Sample (NIS) database was queried from 2008 to 2018 to identify patients diagnosed with SAH who had undergone endovascular coiling or clipping for intracranial aneurysm. Demographic, comorbidity, risk factor, and hospital characteristic variables were recorded. Variables were preprocessed, and the feature space was reduced to include the most important features. To predict poor outcomes, machine learning models were trained and cross-validated before being evaluated on a separate testing set. Shapley Additive exPlanations of the best performing model was used for general and local model interpretation. Results Among 18,149 admissions (mean age 55 ± 14 years, 68.8% women), 52.9% had a poor outcome. Test-set AUCs ranged 0.74–0.80; a multilayer perceptron performed best (AUC 0.80, precision 0.74, recall 0.82). SHAP ranked the ten most influential variables: age, neurological comorbidity, paralysis, Medicare insurance, smoking status, Elixhauser burden, fluid-electrolyte disorders, weight loss, arrhythmia, and heart failure. Conclusions The modeling predicted nationwide aSAH prognosis with decent accuracy and highlighted clinical, socioeconomic, and system-level drivers of determinants of poor short-term outcome. These results support the potential of explainable ML tools as complementary tools for early risk stratification, guiding resource allocation, and informing prospective multi-center validation and implementation studies.

Background and objectives Arteriovenous malformations (AVMs) with perinidal aneurysms and single draining vein are associated with an elevated risk of rupture and increased procedural complexity. The role of preoperative embolization in this high-risk anatomical subset remains unclear. This study aimed to evaluate the safety and efficacy of microsurgery with preoperative embolization, compared with microsurgery alone in patients with such AVMs. Methods We conducted a multicenter retrospective analysis of an AVM registry from the MISTA (Multicenter International Study for Treatment of Brain AVMs) consortium and included AVMs with perinidal aneurysms and a single draining vein. Baseline characteristics, angiographic outcomes, functional outcomes, and complication rates were compared. Propensity score weighting (PSW) using the covariate balancing method was applied to adjust for baseline differences. Results Out of a total of 1919 patients, 65 met the inclusion criteria; 45 patients underwent preoperative embolization followed by microsurgery, and 20 underwent microsurgery alone. After adjustment, complete obliteration rates were similar between groups (OR 0.87, 95% CI 0.04 to 16.33, P=0.92), as were rates of functional independence at discharge and follow-up. Overall complication, symptomatic complication, and mortality rates did not differ significantly between groups. However, permanent complications were significantly lower in patients with preoperative embolization (OR 0.06, 95% CI 0.004 to 0.84, P=0.03). Discussion In patients with AVMs featuring perinidal aneurysms and single draining vein, preoperative embolization followed by microsurgery was associated with fewer permanent complications and no increase in adverse outcomes compared with microsurgery alone. However, given the small number of events, this finding should be interpreted cautiously.