Citations

Background We automated subarachnoid hemorrhage volume (SAHV) calculation with artificial intelligence (SAHVAI) and created 3‐dimensional volumetric images (SAHVAI‐3D) using noncontrast head computed tomography data for patients with aneurysmal SAH. We also defined 4‐dimensional SAHVAI (SAHVAI‐4D), representing SAHV over time. We aimed to compare automated SAHVAI values and computational times to manual SAHV measurement methods, explore the potential of imaging biomarkers to identify at‐risk brain regions for delayed cerebral ischemia and explore potential insights in future neurotherapeutic interventions for patient recovery after SAH. Methods A training set of 10 consecutive patients with aneurysmal SAH was used to manually compute SAHV, SAHVAI‐3D, and SAHVAI‐4D, including 92 noncontrast computed tomography scans (182 slices each). The SAHVAI deep learning algorithm generated automated SAHV values in cubic centimeters. A 3‐dimensional SAH brain map was created for each patient for the SAHVAI and manual evaluations. Blood volumetric outputs were analyzed and compared to neurologic outcomes at discharge, including delayed cerebral ischemia events, symptomatic vasospasm, and areas with the thickest SAH blood concentration. Results SAHVAI quantified SAHV in a mean of 6.7 seconds per scan, significantly faster than the manual method, which took >60 minutes per scan (Fisher exact test, P <0.001). SAHVAI demonstrated an accuracy of 99.8%, Dice score of 0.701, false‐positive rate of 0.0005, and negative predictive value of 0.999. The mean absolute error between SAHVAI and manual methods was 5.67 mL. SAHVAI‐3D brain map and total SAHV at admission were inversely associated with Glasgow Coma Scale (R 2 = 0.23, P = 0.017) and directly associated with length of hospital stay (R 2 = 0.175, P = 0.004), especially in regions with dense blood concentration. Conclusion SAHVAI‐3D and SAHVAI‐4D brain mapping techniques represent innovative imaging biomarkers for SAH. These advancements enable rapid evaluation and targeted interventions, potentially improving patient care in SAH management.

BACKGROUND AND OBJECTIVES: Rising US healthcare costs and the COVID-19 pandemic put increased pressure on hospitals to reduce patient length of stay (LOS) while maintaining high-quality care. We aimed to determine if implementing a pathway for same-day discharge after elective neuroendovascular procedures to a monitored hotel setting is safe, feasible, and cost-effective. METHODS: We evaluated patient outcomes after elective neuroendovascular procedures and same-day discharge to an on-campus Care Hotel. The study enrolled patients aged ≥18 years from October 1, 2020, to February 28, 2023. Exclusion criteria comprised major comorbidities, additional care necessitating hospitalization, absence of a caregiver, insurer-mandated hospitalization, or patient refusal of the Care Hotel model. Primary outcomes were readmission rate or prolonged LOS, new ischemic or hemorrhagic complications rate, and death rate from vascular causes within 6 months. Secondary outcomes included adverse events and deaths related to causes other than vascular complications within 6 months and changes in modified Rankin Scale score by 1 or more points at last follow-up. Healthcare cost savings associated with same-day discharge were analyzed using a control group. RESULTS: The study included 42 patients discharged to the Care Hotel and 84 controls. The average age was 61 years in the Care Hotel group and 64 years in the control group, and aneurysm treatment was the most frequent neuroendovascular procedure (83.3% and 79.8%, respectively). The readmission and extended LOS rates were 4.8% for the Care Hotel group. The rate of new ischemic or hemorrhagic complications was 4.8%. Cost analysis estimated savings of $7730.12 per procedure. CONCLUSION: This study suggests that the Care Hotel model is a safe, feasible, and cost-effective option for carefully selected patients undergoing elective neuroendovascular interventions. Adherence to discharge readiness criteria and meticulous patient selection are critical to minimizing complications and readmissions.

With increased patient volumes and complexity, stroke occurrence in hospitalized patients has become relatively more common. The process of activating a code stroke in-hospital differs in many institutions. An emergency team-based response to inpatient acute code stroke is warranted, with many protocols modeled similarly to the cardiac arrest response. However, several studies have demonstrated delays in recognition and management of acute stroke in-hospital as compared to those arriving directly to the emergency department (ED). Furthermore, there are several shared challenges with code stroke resuscitation in the ED and the ward, which include the assembly of ad hoc teams and requirement of access to urgent imaging. Delays in activating in-hospital code stroke contributes to increased morbidity, mortality, prolonged hospitalization, and associated health care costs. In the following commentary, we discuss the current landscape of acute in-hospital code stroke protocols, review the differences in neurologic outcomes between inpatient vs ED/out-of-hospital code stroke patients, and propose future directions for in-hospital code stroke paradigms for improved patient outcomes and quality of care.

Background We developed a simplified ABC/2‐derived method to estimate total subarachnoid hemorrhage volume (SAHV) on noncontrast computed tomography in patients with aneurysmal SAH and compared the clinical and radiographic outcomes. Methods and Results In this retrospective observational cohort study, we analyzed 277 patients with SAH admitted to our Comprehensive Stroke Center between 2012 and 2022. We derived a mathematical model (model 1) by measuring SAH basal cisternal blood volume using an ABC/2‐derived ellipsoid formula (A=width/thickness, B=length, C=vertical extension) on head noncontrast computed tomography in 5 major SAH cisternal compartments. We compared model 1 against a manual segmentation method (model 2) on noncontrast computed tomography. Data were analyzed using logistic regression analysis, t test, receiver operator characteristic curves, and area under the curve analysis. There was no significant difference in cisternal SAHV analysis between the 2 models ( P =0.14). Mean SAHV by the simplified method was 7.0 mL (95% CI, 5.89–8.09) for good outcome and 16.6 mL (95% CI, 13.49–19.77) for poor outcome. Patients with delayed cerebral ischemia had higher SAHV, with a cutoff value of 10 mL. Conclusions Our simplified ABC/2‐derived method to estimate SAHV is comparable to manual segmentation and can be performed in low‐resource settings. Higher total SAHV was associated with worse outcomes and higher risk of delayed cerebral ischemia. A potential dose–response relationship was observed, with SAHV >10 mL predicting worse outcomes and higher risk of DCI.

Background Intraventricular hemorrhage is a calamitous type of stroke where bleeding into the ventricular system can be defined as: primary, if confined within the ventricles; or secondary, due to intracerebral hemorrhage extending from adjacent parenchyma. Intraventricular blood clot can lead to secondary insult and inflammatory responses that culminates in hydrocephalus as the most common cause of death. Purpose THerein, we report a patient with a high modified Graeb scale and low Glasgow coma scale. She spontaneously recanalized her fourth ventricle, decompressed her reticular activating system with remarkable spontaneous bilateral eye opening, and a consequently experienced a halfway drop in her mGS. Results This is the first reported case of a spontaneous recanalization of 4th ventricle obstruction secondary to IVH without intervention and subsequent dramatic neurological improvement. We believe that the apixaban primarily preserved the liquid state of hemorrhage and her presumed elevated ICP was sufficient to push out the liquified blood in the 4th ventricle into the upper spinal canal , recanalizing the 4th ventricle by continuously creating downward CSF pressure waves. Given the RAS location around the 4th ventricle, we hypothesize spontaneous decompression from the clot lysis triggered the RAS activation with sudden arousal manifested as spontaneous bilateral eyes opening. Hence, we refer to this as the reticular activating system reactivation after ventricular hemorrhage evacuation, or simply the “REVIVE” phenomenon. Conclusion This dramatic improvement from coma to awake state is worthy of recognition for future neurotherapeutic interventions.

Abstract Alpha-tubulin 4A encoding gene (TUBA4A) has been associated with familial amyotrophic lateral sclerosis and frontotemporal dementia, based on identification of likely pathogenic variants in patients from distinct amyotrophic lateral sclerosis and frontotemporal dementia cohorts. By screening a multicentric French cohort of 448 unrelated probands presenting with cerebellar ataxia, we identified ultra-rare TUBA4A missense variants, all being absent from public databases and predicted pathogenic by multiple in silico tools. In addition, gene burden analyses in the 100 000 Genomes project (100KGP) showed enrichment of TUBA4A rare variants in the inherited ataxia group compared to controls [odds ratio: 57.0847 (10.2−576.7); P = 4.02 ×10−7]. Taken together, we report 12 patients presenting with spasticity and/or cerebellar ataxia and harbouring a predicted pathogenic TUBA4A missense mutation, including five confirmed de novo cases and a mutation previously reported in a large family presenting with spastic ataxia. Cultured fibroblasts from three patients harbouring distinct TUBA4A missense showed significant alterations in microtubule organization and dynamics, providing insight of TUBA4A variants pathogenicity. Our data confirm the identification of a hereditary spastic ataxia disease gene with variable age of onset, expanding the clinical spectrum of TUBA4A associated phenotypes.