Neurocritical care
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We sought to identify similarities and differences in the diagnostic requirements for ancillary testing for determination of brain death/death by neurologic criteria (BD/DNC) around the world. ⋯ Diagnostic requirements for ancillary testing in BD/DNC determination vary around the world. We hope that the World Brain Death Project will improve worldwide consensus on the diagnostic requirements for ancillary testing in BD/DNC, both for performance and interpretation.
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Despite being a rare cause of stroke, spontaneous subarachnoid hemorrhage (SAH) is associated with high mortality rates. The prediction models that are currently being used on SAH patients are heterogeneous, and few address premature mortality. The aim of this study was to develop a mortality risk stratification score for SAH. ⋯ In addition to the conventional risk factors for in-hospital mortality, in our study, mortality was associated with the presence of coma at onset of the condition, the physiological variables assessed by means of the APACHE II scale within the first 24 h, and the total SOFA score on day 0. A simple prediction model of mortality was developed with novel parameters assessed on admission, which also assessed organ failure and did not require a previous etiological diagnosis.
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Temperature modulating devices (TMD) currently utilize core temperature measurements during targeted temperature management (TTM) that are currently limited to esophageal (Et), bladder (Bt), or rectal (Rt) temperatures. We assessed the ability of a continuous noninvasive temperature monitor to accurately approximate core temperature during TTM. ⋯ Continuous noninvasive temperature monitoring is a suitable alternative method for assessing core temperature during TTM. Future studies should focus on developing connectivity with a continuous noninvasive temperature monitor to approximate core temperature during TTM.
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Lumbar drainage (LD) is one of the common treatment techniques in neurosurgery. There is a risk of secondary meningitis when using this modality. We aim to predict the probability of the complication by designing a nomogram. ⋯ This is the first study to transform the prediction model of LDRM into a nomogram, which can be considered as a tool for clinicians to assess infection risk.