Journal of clinical anesthesia
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This meta-analysis aimed to compare the risk of brain swelling during craniotomy between propofol-based and volatile-based anesthesia. ⋯ By reviewing the available evidence, our results demonstrate the beneficial effects of propofol on the risk of brain swelling, ICP, PONV, and intraoperative tachycardia. In emergency craniotomy for traumatic brain injury and subarachnoid hemorrhage, brain swelling showed no significant difference between propofol and volatile agents. Further large-scale studies are warranted for verification.
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Observational Study
American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference.
To explore how American Society of Anesthesiologists (ASA) physical status classification affects different machine learning models in hypotension prediction and whether the prediction uncertainty could be quantified. ⋯ Different ASA physical status classes present different data distributions, and thus calls for distinct machine learning models to improve prediction accuracy and reduce predictive uncertainty. Uncertainty quantification enabled by Bayesian inference provides valuable information for clinicians as an additional metric to evaluate performance of machine learning models for medical decision making.
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Observational Study
External validation of a predictive model for reintubation after cardiac surgery: A retrospective, observational study.
Explore validation of a model to predict patients' risk of failing extubation, to help providers make informed, data-driven decisions regarding the optimal timing of extubation. ⋯ Future work is needed to explore how to optimize models before local implementation.