Journal of neurosurgery
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Journal of neurosurgery · Aug 2024
Multicenter StudyPeriprocedural intravenous heparin in patients with acute ischemic stroke treated with endovascular thrombectomy after intravenous thrombolysis.
The benefit-to-risk ratio of periprocedural heparin in patients treated with endovascular thrombectomy (EVT) after intravenous thrombolysis (IVT) remains unclear. This study aimed to evaluate the potential effects of periprocedural heparin on clinical outcomes of EVT after IVT. ⋯ The results showed that periprocedural heparin is associated with an increased risk of unfavorable outcomes and SICH in patients treated with EVT after IVT. Further studies are warranted to evaluate the utility and safety of periprocedural heparin.
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Journal of neurosurgery · Aug 2024
Multicenter StudyPerformance of the IMPACT and CRASH prognostic models for traumatic brain injury in a contemporary multicenter cohort: a TRACK-TBI study.
The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticosteroid Randomization After Significant Head Injury (CRASH) prognostic models for mortality and outcome after traumatic brain injury (TBI) were developed using data from 1984 to 2004. This study examined IMPACT and CRASH model performances in a contemporary cohort of US patients. ⋯ The IMPACT and CRASH models adequately discriminated mortality and unfavorable outcome. Observed overestimations of mortality and unfavorable outcome underscore the need to update prognostic models to incorporate contemporary changes in TBI management and case-mix. Investigations to elucidate the relationships between increased survival, outcome, treatment intensity, and site-specific practices will be relevant to improve models in specific TBI subpopulations (e.g., older adults), which may benefit from the inclusion of blood-based biomarkers, neuroimaging features, and treatment data.
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Journal of neurosurgery · Aug 2024
Multicenter StudyA supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data.
In neurocritical care, data from multiple biosensors are continuously measured, but only sporadically acknowledged by the attending physicians. In contrast, machine learning (ML) tools can analyze large amounts of data continuously, taking advantage of underlying information. However, the performance of such ML-based solutions is limited by different factors, for example, by patient motion, manipulation, or, as in the case of external ventricular drains (EVDs), the drainage of CSF to control intracranial pressure (ICP). The authors aimed to develop an ML-based algorithm that automatically classifies normal signals, artifacts, and drainages in high-resolution ICP monitoring data from EVDs, making the data suitable for real-time artifact removal and for future ML applications. ⋯ Here, the authors developed a well-performing supervised model with external validation that can detect normal signals, artifacts, and drainages in ICP signals from patients in neurocritical care units. For future analyses, this is a powerful tool to discard artifacts or to detect drainage events in ICP monitoring signals.
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Journal of neurosurgery · Aug 2024
Multicenter StudyEpidemiology of moderate traumatic brain injury and factors associated with poor neurological outcome.
The objective of this study was to investigate the epidemiology of moderate traumatic brain injury (TBI) and factors associated with poor neurological outcome. ⋯ Almost half of the patients with moderate TBI had poor neurological outcome at hospital discharge. Several factors including older age, higher CCI, GCS scores of 9 or 10, severe trauma, and mechanical ventilation or craniotomy were found to be associated with poor neurological outcome in patients with moderate TBI. Additionally, these data suggest that tranexamic acid administration and admission to the ICU might be important for improving prognosis. Further investigations are warranted to elucidate the appropriate management for patients with moderate TBI.
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Journal of neurosurgery · Aug 2024
Deep learning-based quantification of total bleeding volume and its association with complications, disability, and death in patients with aneurysmal subarachnoid hemorrhage.
The relationships between immediate bleeding severity, postoperative complications, and long-term functional outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH) remain uncertain. Here, the authors apply their recently developed automated deep learning technique to quantify total bleeding volume (TBV) in patients with aSAH and investigate associations between quantitative TBV and secondary complications, adverse long-term functional outcomes, and death. ⋯ Elevated TBV is associated with a greater risk of hydrocephalus, rebleeding, death, and poor prognosis.