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Research

The “IKEA-effect” and modern anesthesia machines

Britta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant

Research

Procedural anesthesia and sedation for children undergoing diagnostic and medical procedures — A review of postprocedural pain, nausea, and vomiting by questionnaire-based survey

Sedation and anesthesia are widely used to relieve pain and ensure cooperation during elective diagnostic and medical procedures in the pediatric population. However, there is currently limited evidence about the recovery trajectory following deep sedation or general anesthesia for such procedures in children.

Research

Comparison of two measures of behavior change in children after day surgery

A contemporary, well-validated instrument for the measurement of behavior change in children after general anesthesia is lacking. The Post Hospitalization Behavior Questionnaire for Ambulatory Surgery (PHBQ-AS) has been developed as an updated version of the original Post Hospitalization Behavior Questionnaire (PHBQ) to better reflect the current patient population and modern anesthetic practices.

Research

HPLC-UV assay of tramadol and O-desmethyltramadol in human plasma containing other drugs potentially co-administered to participants in a paediatric population pharmacokinetic study

Multimodal analgesia is employed in paediatric pain management to maximise analgesia and minimise side effects. Tramadol is dosed at 1–1.5 mg/kg to treat severe pain in children but the assay for tramadol in plasma samples for pharmacokinetic and toxicology studies does not often consider concurrently administered medications.

Research

Isoelectric Electroencephalography in Infants and Toddlers during Anesthesia for Surgery: An International Observational Study

Intraoperative isoelectric electroencephalography (EEG) has been associated with hypotension and postoperative delirium in adults. This international prospective observational study sought to determine the prevalence of isoelectric EEG in young children during anesthesia.

Research

Impact of airway and a standardized recruitment maneuver on CT chest imaging quality in a pediatric population: A retrospective review

When performing computerized tomography chest imaging in children, obtaining high quality, motion-free images is important in the accurate diagnosis of underlying pathology. General anesthesia is associated with the development of atelectasis, which can impair accurate diagnosis by obscuring or altering the appearance of the lung parenchyma or airways.

Research

Clinical utility of preoperative pulmonary function testing in pediatrics

Perioperative respiratory adverse events pose a significant risk in pediatric anesthesia, and identifying these risks is vital. Traditionally, this is assessed using history and examination. However, the perioperative risk is multifactorial, and children with complex medical backgrounds such as chronic lung disease or obesity may benefit from additional objective preoperative pulmonary function tests.

Research

Kids voices: Exploring children's perspective of tonsillectomy surgery

Britta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant

Research

Topical Lidocaine During Airway Manipulation in Pediatric Anesthesia: A Systematic Review and Meta-Analysis

Lidocaine is widely used in pediatric anesthesia for airway topicalization to modulate undesirable airway and circulatory reflexes, yet its effectiveness remains unclear. Therefore, we aimed to perform a meta-analysis evaluating the impact of topical lidocaine on respiratory adverse events in children undergoing airway management.

Research

Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants

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.