World Neurosurg
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To explore the relevant variables that contribute to deep vein thrombosis (DVT) among spinal cord injury (SCI) patients undergoing inpatient rehabilitation and to build and validate a nomogram model that predicts DVT risk. ⋯ Prothrombin time, D-dimer level, age, and Caprini score are independent related factors for DVT among SCI patients undergoing inpatient rehabilitation. According to the variables mentioned previously, a nomogram model was constructed that can accurately and easily predict DVT risk among SCI patients undergoing inpatient rehabilitation. This facilitates the early identification of high-risk groups and the timely implementation of prevention, treatment, rehabilitation, and nursing strategies by clinical medical staff.
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Idiopathic normal pressure hydrocephalus is classically recognized by the triad of gait disturbance, cognitive dysfunction, and urinary incontinence. Since ventricular shunting may be affected by valve type, we conducted a meta-analysis to assess the relationship between valve characteristics and outcomes. ⋯ Gravitational valves and NPVs are associated with fewer SDEs while DPVs with and without ASDs are associated with more while there were no differences in proximal or distal revisions.
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AtlasGPT represents an innovative generative pretrained transformer, trained using neurosurgery literature. Its ability to construct its response according to the training level of the user is unique; however, whether its responses can be comprehended at each user's training level remains unknown. This study aimed to analyze the readability of responses provided by AtlasGPT. ⋯ AtlasGPT-generated content demonstrates readability variations according to the user profile selected; however, the readability of patient content still exceeds recommendations set by United States departmental agencies, necessitating a call to action.
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Symptomatic intracranial hemorrhage (sICH) after mechanical thrombectomy (MT) is associated with worse outcomes. We sought to develop and internally validate a machine learning (ML) model to predict sICH prior to MT in patients with anterior circulation large vessel occlusion. ⋯ An ML model accurately predicted sICH prior to MT. It performed better than a standard statistical model and previously described clinical prediction models.
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Endovascular transmural targeting of cervical and cranial perivascular structures is a novel approach for minimally invasive delivery of therapeutics. Components of the autonomic nervous system are in close anatomic proximity to major cervical vasculature and, therefore, represent potential targets for intervention. The superior cervical ganglion (SCG) is a discrete structure of interest for this approach, as sympathetic blockade may have therapeutic effects for various conditions. Variability of SCG location and its relationship to large cervical vessels, and the feasibility of endovascular transmural targeting has not been elucidated. ⋯ This is the first anatomical study to provide pertinent targeting information for endovascular transmural access to the SCG using computed tomography angiography. In most cases, endovascular transmural access to the SCG is anatomically feasible from the proximal cervical ICA.