Neurocritical care
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Patients with critical neurological illness are diverse. As a result of the heterogeneity of this patient population, standardized approaches to patient management might not confer benefit. A precision medicine approach to neurocritical care is therefore urgently needed to improve our understanding of neurocritical illness and the care provided to this vulnerable cohort. ⋯ This review summarizes the current state of knowledge on Bayes' theorem, and its potential applications to the field of neurocritical care. We review the basic principles underlying Bayes' theorem, compare the use of Bayesian versus frequentist statistics in medicine, and discuss the relevance of Bayesian statistics to the field of neuroscience and to clinical research. Finally, we explore the potential benefits of employing Bayesian methods within the field of neurocritical care as a steppingstone toward implementing precision medicine approaches to improve patient outcomes for complex, heterogeneous disorders.
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When using an external ventricular drain (EVD) to monitor intracranial pressure (ICP), nurses need to know how long to wait after each manipulation of the transducer before the displayed ICP value represents an accurate signal. This study explores ICP signal equilibration time (EqT) under clinical conditions. ⋯ Even when no additional variables were introduced, the mean EqTs were ~ 30 s. Common clinical variables increase the length of time before a transducer connected to an EVD will provide an accurate reading. Nurses should wait at least 30 s after turning the EVD stopcock before assuming ICP value reflects accurate ICP.
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Although levetiracetam has been increasingly used as an alternative to phenytoin for early posttraumatic seizure prophylaxis following traumatic brain injury (TBI), an optimal dosing strategy has not been elucidated. The objective of this study is to determine whether different dosing strategies of levetiracetam are associated with the incidence of early posttraumatic seizures when used as prophylaxis following TBI. ⋯ In conclusion, the results of this study demonstrate no statistically significant difference in the cumulative incidence of early posttraumatic seizures within 7 days of TBI between three different levetiracetam dosing strategies. After weighting, the ≤ 1000 mg/day levetiracetam group had the lowest rates of early posttraumatic seizures, death without seizure, and in-hospital mortality.
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The objective of this study was to validate the value of the Status Epilepticus Severity Score (STESS) in the prediction of the risk of in-hospital mortality in patients with nonhypoxic status epilepticus (SE) using a machine learning analysis. ⋯ This validation study using a machine learning system showed that STESS is a valuable prognostic tool. The score appears particularly accurate and effective in identifying patients who are alive at discharge (high negative predictive value), whereas it has a lower predictive value for in-hospital mortality.
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Blood pressure variability (BPV) has emerged as a significant factor associated with clinical outcomes after intracerebral hemorrhage (ICH). Although hematoma expansion (HE) is associated with clinical outcomes, the relationship between BPV that encompasses prehospital data and HE is unknown. We hypothesized that BPV was positively associated with HE. ⋯ Higher BPV was not found to be associated with occurrence of HE in the hyperacute or the acute period of spontaneous ICH. Further study is needed to determine the relationship.