Articles: neurocritical-care.
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J Clin Monit Comput · Oct 2024
Time to maximum pupil constriction is variable in neurocritical care patients.
Quantitative pupillometry (QP) use has grown exponentially. Each QP scan captures images of the pupil before, during, and after light exposure to provide component measures of the pupillary light reflex (PLR). This study explores if the time to maximum constriction (tMC) is uniform among neuroscience intensive care unit (NSICU) patients. ⋯ The between-subject mean tMC was 0.97 (0.17) s and ranged from 0.46 s to 1.35 s. The tMC does not occur at a fixed point in time. Clinical applications that seek to characterize pupil health should account for varied tMC and explore relationships to discrete outcomes to determine the clinical usefulness of tMC.
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Pathologically low brain glucose levels, referred to as neuroglucopenia, are associated with unfavorable outcomes in neurocritical care patients. We sought to investigate whether an increase in serum glucose levels would be associated with a reduction of neuroglucopenia. ⋯ In conclusion, the liberalization of serum glucose concentrations to levels between 150 and 180 mg/dl was associated with a significant reduction of neuroglucopenia.
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Observational Study
Prospective Observational Study of Volatile Sedation with Sevoflurane After Aneurysmal Subarachnoid Hemorrhage Using the Sedaconda Anesthetic Conserving Device.
Volatile sedation is still used with caution in patients with acute brain injury because of safety concerns. We analyzed the effects of sevoflurane sedation on systemic and cerebral parameters measured by multimodal neuromonitoring in patients after aneurysmal subarachnoid hemorrhage (aSAH) with normal baseline intracranial pressure (ICP). ⋯ Sevoflurane appears to be a feasible alternative to intravenous sedation in patients with aSAH without intracranial hypertension, as our study did not show negative effects on ICP, cerebral oxygenation, or brain metabolism. Nevertheless, the risk of a decrease of MAP leading to a consecutive CPP decrease should be considered.
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Cardiac point-of-care ultrasound (cPOCUS) can aid in the diagnosis and treatment of cardiac disorders. Such disorders can arise as complications of acute brain injury, but most neurologic intensive care unit (NICU) providers do not receive formal training in cPOCUS. Caption artificial intelligence (AI) uses a novel deep learning (DL) algorithm to guide novice cPOCUS users in obtaining diagnostic-quality cardiac images. The primary objective of this study was to determine how often NICU providers with minimal cPOCUS experience capture quality images using DL-guided cPOCUS as well as the association between DL-guided cPOCUS and change in management and time to formal echocardiograms in the NICU. ⋯ With DL guidance, neurology providers with minimal to no cPOCUS training were often able to obtain diagnostic-quality cardiac images, which informed management changes and significantly decreased time to cardiac imaging.