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The utility of continuous glucose monitoring systems in the management of children with persistent hypoglycaemiaGlucose monitoring is vital in children with persistent hypoglycaemia to reduce the risk of adverse neuro-behavioural outcomes; especially in children with hyperinsulinism. The role of continuous glucose monitoring (CGM) systems in monitoring glucose levels in this cohort is limited.
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Study protocol for a prospective process evaluation of a culturally secure rehabilitation programme for Aboriginal Australians after brain injury: The Healing Right Way projectAboriginal and Torres Strait Islander (hereafter respectfully referred to as Aboriginal) people are Australia's First Peoples, having the longest continuous culture in the world and deep spiritual connections with ancestral land. Improvements in their health and well-being is a major policy goal of Australian governments, as the legacy of colonisation and disruption of cultural practices contribute to major health challenges.
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Use of parenteral nutrition in term and late preterm infants: An Australian and New Zealand SurveyThere is limited information regarding the use of parenteral nutrition (PN) in term and late preterm infants. We conducted a survey to study the current clinical practices within Australia and New Zealand (ANZ). A 15-question online-survey was distributed to 232 neonatologists and 55 paediatric intensivists across ANZ between September and November 2019.
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Gestational age as a predictor for subsequent preterm birth in New South Wales, AustraliaThere is no validated evidence base on predictive ability and absolute risk of preterm birth by gestational age of the previous pregnancy. We conducted a retrospective cohort study of mothers who gave birth to their first two children in New South Wales, 1994-2016. For each week of final gestational age of the first birth, we calculated relative and absolute risks of subsequent preterm birth.
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Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New GuineaMalaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea.
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Viral Induced Effects on a Vulnerable Epithelium; Lessons Learned From Paediatric Asthma and Eosinophilic OesophagitisThe epithelium is integral to the protection of many different biological systems and for the maintenance of biochemical homeostasis. Emerging evidence suggests that particular children have epithelial vulnerabilities leading to dysregulated barrier function and integrity, that resultantly contributes to disease pathogenesis.
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Someday we’ll look back on this, and it will all seem funny. The lung and ventilation special issue 2030 and beyondBritta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant
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They Told Me “This Isn’t a Hotel”: Young People’s Experiences and Perceptions of Care When Presenting to the Emergency Department with Suicide-Related BehaviourIn Australia, the number of young people presenting to the emergency department with mental health concerns, in particular, suicidal behaviour (defined here as suicidal ideation, thoughts, intent and attempts) is increasing.
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Modelling temperature-driven changes in species associations across freshwater communitiesDue to global climate change–induced shifts in species distributions, estimating changes in community composition through the use of Species Distribution Models has become a key management tool. Being able to determine how species associations change along environmental gradients is likely to be pivotal in exploring the magnitude of future changes in species’ distributions.
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Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaIndividual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.