Neurocritical care
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The broad antibacterial spectrum of piperacillin/tazobactam makes the combination suitable for the treatment of nosocomial bacterial central nervous system (CNS) infections. As limited data are available regarding piperacillin CNS exposure in patients without or with low-grade inflammation, a clinical study was conducted (1) to quantify CNS exposure of piperacillin by cerebral microdialysis and (2) to evaluate different dosing regimens in order to improve probability of target attainment (PTA) in brain. ⋯ Limited CNS exposure of piperacillin might be an obstacle in treating patients without general meningeal inflammation except for infections with highly susceptible pathogens. Brain exposure of piperacillin did not improve significantly with a prolongation of infusions.
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Observational Study
Effect of Early Tracheostomy on Mortality of Mechanically Ventilated Patients with Guillain-Barré Syndrome: A Nationwide Observational Study.
Patients with Guillain-Barré syndrome (GBS) who require mechanical ventilation (MV) are regarded as candidates for early tracheostomy because of the high risk of prolonged MV; however, the association between early tracheostomy and favorable outcomes in patients with GBS remains unclear. In this study, we evaluated the association between early tracheostomy and outcomes in mechanically ventilated patients with GBS. ⋯ Early tracheostomy was not significantly associated with decreased mortality or morbidity in patients with GBS requiring MV for more than 1 week.
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Malignant cerebral edema develops in a small subset of patients with hemispheric strokes, precipitating deterioration and death if decompressive hemicraniectomy (DHC) is not performed in a timely manner. Predicting which stroke patients will develop malignant edema is imprecise based on clinical data alone. Head computed tomography (CT) imaging is often performed at baseline and 24-h. We determined the incremental value of incorporating imaging-derived features from serial CTs to enhance prediction of malignant edema. ⋯ Incorporating quantitative CT-based imaging features from baseline and 24-h CT enhances identification of patients with malignant edema needing DHC. Further refinements and external validation of such imaging-based machine-learning models are required.