Anesthesia and analgesia
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Anesthesia and analgesia · Feb 2025
ReviewA Scoping Review of the Mechanisms Underlying Developmental Anesthetic Neurotoxicity.
Although anesthesia makes painful or uncomfortable diagnostic and interventional health care procedures tolerable, it may also disrupt key cellular processes in neurons and glia, harm the developing brain, and thereby impair cognition and behavior in children. Many years of studies using in vitro, animal behavioral, retrospective database studies in humans, and several prospective clinical trials in humans have been invaluable in discerning the potential toxicity of anesthetics. The objective of this scoping review was to synthetize the evidence from preclinical studies for various mechanisms of toxicity across diverse experimental designs and relate their findings to those of recent clinical trials in real-world settings.
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Anesthesia and analgesia · Feb 2025
ReviewProposed Quality Metrics for Congenital Cardiac Anesthesia: A Scoping Review.
Congenital cardiac anesthesiologists practice in a unique environment with high risk for morbidity and mortality. Quality metrics can be used to focus clinical initiatives on evidence-based care and provide a target for local quality improvement measures. However, there has been no comprehensive review on appropriate quality metrics for congenital cardiac anesthesia to date. ⋯ Of these, 5 candidate metrics were unanimously proposed for local collection and national benchmarking efforts: use of a structured handover in the intensive care unit, use of an infection prevention bundle, use of blood conservation strategies, early extubation of cardiopulmonary bypass cases, and cardiac arrest under the care of a cardiac anesthesiologist. Many metrics were excluded due to a lack of primary data and perceived complexity beyond the scope of cardiac anesthesia practice. There is a need to develop more primary data including linking process measures with outcomes, developing risk-stratification for our patients, and collecting national data for benchmarking purposes.
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Anesthesia and analgesia · Feb 2025
ReviewThe Future of Artificial Intelligence Using Images and Clinical Assessment for Difficult Airway Management.
Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and sophisticated methods that recognize complex patterns in imaging data providing high qualitative assessments. Several machine-learning and deep-learning models using imaging techniques have been recently developed and validated to predict difficult airways. ⋯ We explore how these methods could impact clinical practice. Finally, we discuss predictive modeling for difficult laryngoscopy using machine-learning and the future approach with intelligent intubation devices.
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Anesthesia and analgesia · Feb 2025
Observational StudyClinical Decision-Making and Process Complications During Anticipated Difficult Airway Management for Elective Surgery.
Difficult airway management (DAM) is a challenging aspect of anesthetic care. Although nearly all DAM episodes result in successful intubation, complications are common and clinical decision-making may be complex. In adults with anticipated DAM scheduled for nonemergent surgery, we prospectively observed clinical decisions made during DAM such as awake/sedated versus anesthetized, choice of initial and subsequent devices, case cancellation/postponement, conversions between awake and anesthetized approaches, and process complications such as multiple intubation/supraglottic airway (SGA) insertion attempts, difficult bag-mask ventilation (BMV), hypoxemia, and cardiovascular destabilization. ⋯ Airway management was successful in all patients and the incidence of process complications was higher than in routine airway management. Despite a high risk of DAM, 87% of patients were intubated anesthetized and conversions between awake and anesthetized approaches were rare. That patients intubated awake had more difficult airway indicators implies that clinicians reserve awake intubation for particularly difficult airways. The high incidence of multiple attempts, hypoxemia, and cardiovascular destabilization in patients intubated awake suggests that awake airway management remains challenging. We found no clear pattern in device choices after a first failed attempt. Patients with a first failed anesthetized intubation attempt and difficult BMV were at particularly high risk for hypoxemia.