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A research team dedicated to making anaesthesia and surgery safer and more comfortable for babies and children has been awarded an inaugural Byron Kakulas Medal by WA’s Perron Institute.
Research projects sharing in a $2.1 million funding boost will seek to translate research findings into changes that benefit patients and help the health system run more efficiently.
Head-mounted devices (HMDs) have been explored in anaesthesia education for their unique ability to have head-tracked immersive simulations adaptable to diverse clinical scenarios. This scoping review examines how HMD-based augmented or virtual reality enhances anaesthetic skill learning in clinicians, trainees, and students.
Critical Events in Anaesthetised Kids undergoing Tracheal Intubation (CRICKET) is a prospective, international multicentre observational study with the objective of capturing, assessing, and analysing critical events associated with tracheal intubation in children.
The availability of age-appropriate, taste-masked oral solid medications for the paediatric population is currently inadequate. We have developed a novel chocolate-based drug delivery platform to taste-mask bitter drugs commonly utilised in the hospital setting, but there is limited evidence regarding parent's perspectives on these medications.
Britta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant
Britta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant
This review summarizes and provides a comprehensive narrative synthesis of the current evidence on pediatric airway management during the COVID-19 pandemic.
Pediatric anesthesiology has been greatly impacted by COVID-19 in the delivery of care to patients and to the individual providers. With this study, we sought to survey pediatric centers and highlight the variations in care related to perioperative medicine during the COVID-19 pandemic, including the availability of protective equipment, the practice of pediatric anesthesia, and economic impact.
Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.