Neurosurgery
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Sagittal spinopelvic alignment (SSPA) parameters are essential for the diagnosis of adult spinal deformities (ASDs) and their progression. Certain clinical symptoms that occur in patients with lumbar spinal stenosis (LSS) and herniated nucleus pulposus (HNP) may distort the SSPA and mimic ASD. ⋯ Patients with pain on standing within 10 minutes showed significant correction in RSA, RLL, and GAP values after simple lumbar decompression. Therefore, it is important to observe such clinical symptoms to avoid misdiagnosis of ASD.
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The transradial approach has increasingly been used for neurointerventions because of the improved safety profile compared with transfemoral. However, it is important to be aware of potential complications such as radial artery (RA) spasm, RA occlusion, pseudoaneurysm, extravasation, arteriovenous fistula, and wrist hematoma as well as their management. ⋯ Transradial access for neurointervention has a low rate of local complications, particularly when taking appropriate prevention measures. Appropriate management of complications can prevent procedural failure and has low morbidity rates demonstrating the overall safety profile of transradial access even when complications occur.
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Extended postoperative hospital stays are associated with numerous clinical risks and increased economic cost. Accurate preoperative prediction of extended length of stay (LOS) can facilitate targeted interventions to mitigate clinical harm and resource utilization. ⋯ Machine learning algorithms accurately predict extended LOS across single-center and national patient cohorts and characterize key preoperative drivers of increased LOS after cervical spine surgery.
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Spinal cord stimulation (SCS) effectively reduces opioid usage in some patients, but preoperatively, there is no objective measure to predict who will most benefit. ⋯ We present the first machine learning-based models for predicting reduction or stabilization of opioid usage after SCS. The DNN and 5-variable LR models demonstrated comparable performances, with the latter revealing significant associations with patients' pre-SCS pharmacologic patterns. This simplified, interpretable LR model may augment patient and surgeon decision making regarding SCS.