Paediatric anaesthesia
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Paediatric anaesthesia · Mar 2020
ReviewArtificial intelligence, machine learning and the pediatric airway.
Artificial intelligence and machine learning are rapidly expanding fields with increasing relevance in anesthesia and, in particular, airway management. The ability of artificial intelligence and machine learning algorithms to recognize patterns from large volumes of complex data makes them attractive for use in pediatric anesthesia airway management. ⋯ We critically assess the current evidence on the use of artificial intelligence and machine learning in the assessment, diagnosis, monitoring, procedure assistance, and predicting outcomes during pediatric airway management. Further, we discuss the limitations of these technologies and offer areas for focused research that may bring pediatric airway management anesthesiology into the era of artificial intelligence and machine learning.
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Paediatric anaesthesia · Mar 2020
ReviewAirway Management for Neonates Requiring Ex Utero Intrapartum Treatment (EXIT).
In utero congenital malformations in the fetus can occasionally lead to an obstructed airway at birth accompanied by hypoxic injury or peripartum demise, without intervention. Ex utero intrapartum treatment (EXIT) may help reduce morbidity and mortality associated with challenging airways by providing extra time on uteroplacental circulation to secure the airway. Meticulous preparation and planning are crucial for this procedure. ⋯ Based on our experience and literature review, an airway process flow diagram has been created to help assist teams in decision-making for airway intervention in a neonate during the EXIT procedure. The management of the airway in this scenario involves additional unique considerations that accompany handling a partially delivered newborn in the uterine environment. Extensive preparation and team rehearsal are essential to the success of this procedure.
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Paediatric anaesthesia · Mar 2020
ReviewAdaptations in Pediatric Anesthesia Care and Airway Management in the Resource-Poor Setting.
The need for safe and quality pediatric anesthesia care in low- and middle-income countries (LMICs) is huge. An estimated 1.7 billion children do not have access to surgical care, and the majority are in LMICs. In addition, most LMICs do not have the requisite surgical workforce including anesthesia providers. ⋯ There is often a lack of pediatric-sized anesthesia equipment and resources, making management of the local pathology even more challenging. Efforts are being made to offer these providers additional training in pediatric anesthesia skills that incorporate low-fidelity simulation. Out of necessity, anesthesia providers in this setting learn to be resourceful in order to manage complex pathologies with fewer, less ideal resources while still providing a safe anesthetic.
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Paediatric anaesthesia · Mar 2020
ReviewPediatric syndromes with non-craniofacial anomalies impacting the airways.
Syndromes with noncraniofacial abnormalities can be a real challenge in terms of airway management. The key to success is effective preparation, presence of personnel with expertise in difficult pediatric airway management, regular training and familiarity with difficult intubation equipment, and teamwork. Considering that there are a very large number of syndromes, with variable phenotypic expression, the management strategy of every case will be dictated by the anatomical and functional airway as assessed on physical examination and subsidiary examinations before induction of anesthesia.
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Education in medicine, informed by research findings, is moving away from the traditional apprenticeship model and increasingly embraces new, active learning methodologies. In this article, we will review these methodologies along with adult learning theories; we explore the available evidence on acquisition and maintenance of pediatric airway management skills, including technical and nontechnical skills. We recall the elements of a competency-based curriculum and how they can be applied in pediatric airway skill training and suggest mapping strategies based on research evidence. We propose future directions in education and educational research in the field.