Crit Care Resusc
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Natural language processing (NLP) is a branch of artificial intelligence focused on enabling computers to interpret and analyse text-based data. The intensive care specialty is known to generate large volumes of data, including free-text, however, NLP applications are not commonly used either in critical care clinical research or quality improvement projects. This review aims to provide an overview of how NLP has been used in the intensive care specialty and promote an understanding of NLP's potential future clinical applications. ⋯ Natural language processing has been used for a variety of purposes in the ICU context. Increasing awareness of these techniques amongst clinicians may lead to more clinically relevant algorithms being developed and implemented.
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Modern intensive care for moderate-to-severe traumatic brain injury (msTBI) focuses on managing intracranial pressure (ICP) and cerebral perfusion pressure (CPP). This approach lacks robust clinical evidence and often overlooks the impact of hypoxic injuries. ⋯ However, there is still a lack of consensus regarding the interpretation of PbtO2 in clinical practice. This review aims to provide an overview of the pathophysiological rationales, monitoring technology, physiological determinants, and recent clinical trial evidence for PbtO2 monitoring in the management of msTBI.
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To describe the proportion of patients admitted to intensive care who have anaphylaxis as a principal diagnosis and their subsequent outcomes in Australia and New Zealand. ⋯ The overall proportion of patients admitted to ICU who have anaphylaxis as a principal diagnosis has increased. In-hospital mortality remains low despite the need for vital organ support. Further studies should investigate these identified factors that may predict in-hospital mortality among these patients.