Current opinion in critical care
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To summarize the current knowledge of pathophysiology and ventilatory management of acute respiratory failure in COVID-19. ⋯ Given the lack of evidence-based specific ventilatory strategies and a large amount of literature showing pathophysiological features similar to non-COVID-19 ARDS, evidence-based lung-protective ventilatory strategies should be pursued in all patients with COVID-19 ARDS.
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To provide an evidence-based approach to improve first pass success in tracheal intubation while maintaining patient safety in the critically ill. ⋯ Recognizing the challenges and using the appropriate interventions to improve first pass tracheal intubation success, while maintaining patient safety are essential during tracheal intubation in critically ill patients. This review will provide recommendations based on the current evidence, various guidelines and expert opinion in the field. Further research will help us better understand the best strategies to improve patient outcomes.
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Curr Opin Crit Care · Dec 2020
ReviewPrevention, diagnosis, and management of venous thromboembolism in the critically ill surgical and trauma patient.
Venous thromboembolism (VTE), which encompasses deep vein thrombosis and pulmonary embolism, is common among trauma patients and critically ill surgical patients admitted to the ICU. Critical care surgical patients are at an extremely high risk for VTE and the related morbidity and mortality associated with it. The present review aims to provide an overview of the importance of identifying risk factors, prescribing effective prohylaxis, accurate diagnosis, and timely appropriate treatment for trauma and critically ill surgical patients with VTE in the ICU. ⋯ Critical care surgical and trauma patients represent a population that are at a heightened risk for VTE and associated complications. Appropriate screening, prevention strategies, accurate diagnosis, and timely administration of appropriate treatment must be utilized to reduce morbidity and mortality.
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Curr Opin Crit Care · Dec 2020
ReviewArtificial intelligence to guide management of acute kidney injury in the ICU: a narrative review.
Acute kidney injury (AKI) frequently complicates hospital admission, especially in the ICU or after major surgery, and is associated with high morbidity and mortality. The risk of developing AKI depends on the presence of preexisting comorbidities and the cause of the current disease. Besides, many other parameters affect the kidney function, such as the state of other vital organs, the host response, and the initiated treatment. Advancements in the field of informatics have led to the opportunity to store and utilize the patient-related data to train and validate models to detect specific patterns and, as such, predict disease states or outcomes. ⋯ In this article, we provide an overview of the machine-learning prediction models for AKI and its outcomes in critically ill patients and individuals undergoing major surgery. We also discuss the pitfalls and the opportunities related to the implementation of these models in clinical practices.
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The current narrative review discusses practical applications of stress and damage biomarkers for the management of acute kidney injury (AKI) based on clinical trials and real-world evaluations. ⋯ Stress and damage biomarker-based approaches to patient care seem to be promising for identifying patients at high risk for developing AKI and thus offers an opportunity for early management to prevent and ameliorate AKI and drug-associated AKI.