Citations

Abstract Background aneurysmal subarachnoid hemorrhage (aSAH) is neurological emergency associated with substantial mortality and disability. Current grading systems such as the modified Fisher Scale (mFS) and World Federation of Neurological Societies (WFNS) score, rely on semiquantitative and examination based assessments. Hence, they demonstrate limited predictive precision. The enhanced subarachnoid hemorrhage (eSAH) score is a simplified quantitative model integrating age, Glasgow Coma Scale (GCS), and cisternal subarachnoid hemorrhage volume (SAHV) to predict clinical outcomes after aSAH. Methods We performed a retrospective multicenter cohort study that included 1088 patients across three tertiary-care centers the United States. Predictive performance for unfavorable functional outcome, in-hospital mortality and delayed cerebral ischemia (DCI) was evaluated using receiver operating characteristic (ROC) analysis and area under the curve (AUC). Comparative analyses were performed and compared to the WFNS and mFS grading systems. Results the eSAH score demonstrated excellent discrimination for unfavorable functional outcome at discharge ( AUC 0.89 ) and in-hospital mortality (AUC 0.87). The DCI subscore demonstrated good discriminatory performance for predicting DCI (AUC 0.77). Compared with conventional grading systems, this was superior to both the WFNS (AUC 0.75) and the mFS ( AUC 0.70). increasing eSAH scores were additionally associated with progressively higher rates of mortality and unfavorable functional outcomes. Conclusion the eSAH score demonstrates strong external validity, reproducibility and superior predictive performance compared with conventional grading systems in a large multicenter cohort. These findings support the clinical utility of quantitative hemorrhage burden integration for early risk stratification in patients with aSAH.

Abstract Objective Shunt-dependent hydrocephalus is a common and costly complication of aneurysmal subarachnoid hemorrhage (aSAH), affecting up to 28% of survivors. Existing prediction tools, including the Chronic Hydrocephalus Ensuing from SAH Score (CHESS), have limited discriminative accuracy. We developed the CHECKMATE score, a clinically practical tool to improve prediction of ventriculoperitoneal shunt dependency after aSAH. Methods In this multicenter retrospective cohort of 486 patients with aSAH from Mayo Clinic (January 1, 2006-December 31, 2021), we used multivariable logistic regression and machine learning to identify independent predictors of ventriculoperitoneal shunt placement. The CHECKMATE score was derived from 5 weighted variables: symptomatic hydrocephalus (10 points), intraventricular hemorrhage (5 points), SAH volume greater than 10 mL (3 points), neutrophil-to-lymphocyte ratio greater than 12 (2 points), and 10-year incremental age thresholds starting at older than 60 years (1 point each). Results Of 486 patients (mean age, 56.3 years; 64.6% female), 137 (28.2%) required ventriculoperitoneal shunt placement. The CHECKMATE score achieved an area under the curve of 0.808 (compared to 0.737 for CHESS), with a sensitivity of 0.85, specificity of 0.67, and negative predictive value of 0.92 at the optimal cutoff of 14 points. Conclusions The CHECKMATE score outperforms CHESS for predicting ventriculoperitoneal shunt dependency after aSAH and is easily used at the bedside. Its high negative predictive value helps identify low-risk patients who may benefit from earlier external ventricular drain weaning and shorter hospital stays.

PURPOSE Systematic integration of tobacco cessation treatment within cancer centers is needed to improve smoking cessation outcomes among cancer patients and survivors. The current study characterizes baseline rates of tobacco use, use of cessation support, and changes in tobacco use over time among 756 participants diagnosed with cancer and enrolled in 9 ECOG-ACRIN Cancer Research Group trials. MATERIALS AND METHODS Participants completed surveys at trial enrollment and at 3- and 6-month follow-ups. Descriptive statistics were used to characterize patient characteristics and selected items from the Cancer Patient Tobacco Use Questionnaire (C-TUQ). Generalized estimating equations were used to examine the time point effect on tobacco product use. RESULTS At baseline, 11% of participants (n = 740) currently smoked cigarettes. Among participants with data available at all time points (n = 443), prevalence of current smoking was stable over time, with 7.2% of participants (n = 32) reporting current smoking at baseline, 7.0% (n = 31) at the 3-month follow-up assessment, and 6.8% (n = 30) at the 6-month follow-up assessment. Most participants (n = 77/104) who smoked cigarettes within the year prior to their cancer diagnosis continued smoking after their diagnosis, and during (n = 44/72) and following completion (n = 30/46) of their treatment. Sixty-two percent of participants (n = 81) who were currently smoking at baseline reported using smoking cessation medication and 32.1% reported use of nonpharmacologic smoking cessation support since their cancer diagnosis. In longitudinal analyses, the odds of using cigarettes since their cancer diagnosis, 3-month follow-up, and 6-month follow-up was higher than the odds of using cigarettes for the past 30 days at baseline (odds ratio [OR] = 1.97, OR = 1.62, and OR = 1.50, respectively; all p s < .01). CONCLUSION Smoking persists over time among patients with cancer enrolled in therapeutic cancer trials. Findings highlight the importance of increasing access to integrated and longitudinal smoking cessation support.

Abstract Background Ultrasound (US)‐guided hydrodissection is a minimally invasive treatment for cubital tunnel syndrome (CuTS) with promising early results. However, data on patient‐perceived outcomes, durability of relief, and impact on surgical need remain limited. Objective To assess the effectiveness of US‐guided cubital tunnel hydrodissection in improving CuTS symptoms via patient‐centered outcomes. Design Retrospective chart review with cross‐sectional telephone follow‐up. Setting Quaternary medical center multidisciplinary outpatient hand clinic. Participants Seventeen patients (19 arms) with clinical CuTS who received US‐guided hydrodissection from one physician. Interventions Patients were contacted by telephone for cross‐sectional outcome assessment. Main Outcome Measures Patient‐reported improvements in weakness, paresthesias, and/or pain, percent pain relief, symptom improvement duration, adverse events, and Patient Global Impression of Change (PGIC) scores. Results At mean 7 ± 5 month follow‐up, improvement in weakness, paresthesia, and pain was reported in 12 (63%) extremities (95% confidence interval [CI] 41%–85%; p < .001) . Pain relief ≥50% occurred in 12 (63%) and ≥75% in 8 (42%) extremities, with mean duration 4 months. PGIC scores showed 14 (74%; 95% CI 54%–94%; p < .001) at least “minimally improved” and 8 (42%) (95% CI 20%–64%; p < .001) “much improved.” No adverse events occurred. Two patients without improvement underwent surgical decompression with anterior transposition at 1 and 3 months after hydrodissection, achieving 90%–100% pain relief and “much or very much improved” PGIC scores. Of 19 extremities, 7 (37%) were McGowan Grade I and 12 (63%) Grade II; none were Grade III. Grade II extremities showed significantly greater overall symptom relief ( p = .004) and pain relief ≥50% ( p = .004). PGIC scores did not differ significantly between grades (both p > .062). Conclusion US‐guided cubital tunnel hydrodissection was associated with meaningful symptom improvement and no adverse events. Limitations include small sample size, no control group, single operator, and potentially time‐limited relief. The procedure appears safe and a potential nonoperative treatment option.

Abstract Endometriosis affects an estimated 10% of reproductive-age women and girls worldwide, approximately 190 million individuals, yet its molecular pathogenesis remains incompletely understood and current treatments rely largely on hormonal suppression, surgery, and symptom management. We developed a multi-stage single-cell transcriptomic pipeline to identify lesion-associated cellular niches that may coordinate immune tolerance, failed lesion clearance, fibrotic remodeling, and chronic pelvic pain, with the goal of prioritizing non-hormonal therapeutic hypotheses. Using the public Tan et al. atlas, GSE179640, comprising more than 122,000 cells from 14 individuals across control endometrium, eutopic endometrium, peritoneal lesions, adjacent peritoneal tissue, and ovarian lesions, the workflow combines Harmony integration, GenoRefine dimensionality reduction, unsupervised clustering, tissue-type stratification, and donor-aware pseudobulk differential expression. A mechanism-anchored scoring framework ranks GenoRefine clusters across T-cell suppression, macrophage tolerance, neuroimmune pain, CGRP/RAMP1 macrophage reprogramming, efferocytosis context, perivascular angiogenic remodeling, fibrosis, and lesion-type enrichment. Candidate immune-pain hubs are evaluated using curated ligand-receptor and mediator-axis analyses and exported for CellPhoneDB/LIANA validation, enabling complex-aware communication scoring across cytotoxic T-cell and neuroimmune-responsive compartments. The prostaglandin pathway is modeled as PTGS2/PTGES-driven PGE2 production coupled to PTGER2/PTGER4 receptor response, avoiding an incorrect direct ligand-receptor representation. Drug mapping proceeds by consolidating hub markers, pseudobulk-supported genes, ligand-receptor partners, and mediator-axis targets into disease-axis target sets; annotating them through DGIdb-informed drug-gene interactions and druggability classes; and formatting lesion up/down signatures for CLUE/LINCS perturbational reversal. Drug prioritization generates separate shortlists for pain/neuroimmune signaling, immune tolerance, fibrosis/angiogenesis, CGRP/RAMP1 macrophage biology, and efferocytosis-context targets. Each candidate is annotated by desired intervention direction, evidence level, lesion-type enrichment, cell-type specificity, pseudobulk support, communication support, and translation caution. CGRP/RAMP1 is prioritized as a clinically tractable neuroimmune axis because CGRP-pathway agents are approved in migraine and preclinical endometriosis models implicate nociceptor-to-macrophage CGRP signaling in pain and lesion growth; however, endometriosis-specific efficacy and reproductive safety require validation. Neuronal markers are interpreted as lesion-context signals pending spatial validation. This framework provides a reproducible drug-discovery strategy for identifying immune-pain hubs and prioritizing druggable non-hormonal axes in endometriosis. Citation Format: Ariana F. Rahman. Decoding the endometriosis immune–pain axis: A single-cell pipeline for neuroimmune hub discovery and drug prioritization [abstract]. In: Proceedings of AACR Drug Discovery and Development (AACR D3) Conference; 2026 Jul 21-24; Boston, MA. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(14_Suppl):Abstract nr A044.