Articles: postoperative-complications.
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There has been a growing interest in venous thromboembolism following spinal surgery over the past few years. However, there currently needs to be a bibliometric report on this field. This study aims to construct the knowledge structure of venous thromboembolism after spinal surgery and explores the current status of research productivity, research directions, hotspots, and trends. ⋯ This study constructed the knowledge structure of venous thromboembolism after spinal surgery, revealing current research hotspots and future trends. Future research trends include personalized prevention and treatment strategies for venous thromboembolism after spinal surgery, especially safe and effective chemical prophylaxis. It is hoped that this study can lay the foundation for subsequent research.
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Effects of the use of neuronavigation in patients with supratentorial brain gliomas: a cohort study.
Despite the growing acceptance of neuronavigation in the field of neurosurgery, there is limited comparative research with contradictory results. This study aimed to compare the effectiveness (tumor resection rate and survival) and safety (frequency of neurological complications) of surgery for brain gliomas with or without neuronavigation. ⋯ Neuronavigation improved the effectiveness (greater gross total resection of tumors) and safety (fewer neurological deficits) of brain glioma surgery. However, neuronavigation does not significantly influence the survival of patients with grade IV gliomas.
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Randomized Controlled Trial Comparative Study
Patch angioplasty carotid endarterectomy versus eversion carotid endarterectomy.
To compare carotid endarterectomy patch angioplasty (p-CEA) with eversion carotid endarterectomy (e-CEA) and associated risks of early cardio-cerebrovascular complications. ⋯ The frequency and categorization of postoperative cardiac arrhythmias after eversion carotid endarterectomy, the clinical implications of various postoperative heart rhythm disturbances and their long-term effects on patients need to be further investigate through sufficiently powered randomized controlled studies.
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Anesthesia and analgesia · Jul 2024
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.
Classification of perioperative risk is important for patient care, resource allocation, and guiding shared decision-making. Using discriminative features from the electronic health record (EHR), machine-learning algorithms can create digital phenotypes among heterogenous populations, representing distinct patient subpopulations grouped by shared characteristics, from which we can personalize care, anticipate clinical care trajectories, and explore therapies. We hypothesized that digital phenotypes in preoperative settings are associated with postoperative adverse events including in-hospital and 30-day mortality, 30-day surgical redo, intensive care unit (ICU) admission, and hospital length of stay (LOS). ⋯ For 3 frequently performed surgeries, we identified 3 digital phenotypes. The typical profiles of each phenotype were described and could be used to anticipate adverse postoperative events.