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Risk assessment and optimization strategies to reduce perioperative respiratory adverse events in Pediatric Anesthesia—Part 2: Anesthesia-related risk and treatment options

Perioperative respiratory adverse events are the most common cause of critical events in children undergoing anesthesia and surgery. While many risk factors remain unmodifiable, there are numerous anesthetic management decisions which can impact the incidence and impact of these events, especially in at-risk children.

Without training, they lacked knowledge. Without knowledge, they lacked confidence. Without confidence, they lacked victory (Julius Caesar)

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

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.

Error traps in pediatric difficult airway management

Difficult airway management in children is associated with significant morbidity. This narrative review on error traps in airway management aims to highlight the common pitfalls and proposes solutions to optimize best practices for pediatric difficult airway management. We have categorized common errors of pediatric difficult airway management into three main error traps.

Behavioural and neuropsychological outcomes in children exposed in utero to maternal labour epidural analgesia

Recent studies report conflicting results regarding the relationship between labour epidural analgesia (LEA) in mothers and neurodevelopmental disorders in their offspring. We evaluated behavioural and neuropsychological test scores in children of mothers who used LEA.

Critical Events in Anaesthetised Kids Undergoing Tracheal Intubation (CRICKET)—study protocol for an international multicentre prospective observational study

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.

Using head-mounted augmented and virtual reality devices for anaesthesia education: a scoping review

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.

Trends in paediatric anaesthesia research publications and the impact of author sex, country of origin, topic, and external funding

The current research landscape has become increasingly competitive with approximately 35% of submitted manuscripts accepted for publication by peer-review journals. It is known that studies with certain 'favourable characteristics' have an increased likelihood of acceptance for publication, such as prospective study design, multiple sites, and notable authors.

Jet versus vibrating mesh nebulizer for tobramycin aerosol in spontaneously breathing children with tracheostomies: A simulation study

Tracheostomy tubes act as foreign bodies, predisposing the surrounding airway to respiratory infections. Initial treatment for infections is topical - nebulized tobramycin - although guidelines for standardized treatment are lacking.

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.