World Neurosurg
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Cervical fusion rates increased in the U.S. exponentially 1990-2014, but trends leading up to/during the COVID-19 pandemic have not been fully evaluated by patient socioeconomic status (SES). Here, we provide the most recent, comprehensive characterization of demographic and SES trends in cervical fusions, including during the pandemic. ⋯ We present the first documented decrease in annual cervical surgery rates in the U.S. Our data reveal a bimodal distribution for cervical fusion patients, with racial-minority, lower-net-worth, and highly-educated patients receiving increasing proportions of surgical interventions. White and wealthier patients were more likely to undergo cervical fusions during the COVID-19 pandemic, which has been reported in other areas of medicine but not yet in spine surgery. There is still considerable work needed to improve equitable access to spine care for the entire U.S.
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Mechanical thrombectomy (MT) improves outcomes in patients with LVO but many still experience mortality or severe disability. We sought to develop machine learning (ML) models that predict 90-day outcomes after MT for LVO. ⋯ RF models accurately predicted 90-day outcomes after MT and performed better than standard statistical and clinical prediction models.
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The relationship between the anatomical location of an unruptured saccular aneurysm, the efficacy, and the potential complications associated with coil and non-flow-diverting stents remains poorly documented. Therefore, the aim of this study is to evaluate the efficacy and safety of endovascular treatment based on the anatomical position of the unruptured intracranial aneurysm (UIA). ⋯ Our study shows that endovascular treatment with stents and coils is effective and safe for managing UIAs in various anatomical locations. The incidence of thromboembolic complications was significantly higher for UIAs located in the anterior cerebral artery.
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Learning curve, training, and cost impede widespread implementation of new technology. Neurosurgical robotic technology introduces challenges to visuospatial reasoning and requires the acquisition of new fine motor skills. Studies detailing operative workflow, learning curve, and patient outcomes are needed to describe the utility and cost-effectiveness of new robotic technology. ⋯ This study demonstrated institutional workflow evolution and learning curve for the Autoguide in pediatric sEEG, resulting in reduced operative times and increased accuracy over a small number of cases. The platform may seamlessly and quickly be incorporated into clinical practice, and the provided workflow can facilitate a smooth transition.