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To explore parents' experiences of using continuous glucose monitoring in their young children with early-stage type 1 diabetes, being followed in the Australian Environmental Determinants of Islet Autoimmunity (ENDIA) study.
The evidence about the acceptability and effectiveness of innovative paediatric models of care for Type 1 diabetes is limited. To address this gap, we synthesised literature on implemented models of care, model components, outcomes, and determinants of implementation and sustainability.
The ESCALATION system is a novel paediatric Early Warning System that incorporates family involvement and sepsis recognition. This study aimed to assess the feasibility and iteratively refine the ESCALATION system in a variety of hospital settings in preparation for full-service implementation.
Advanced hybrid closed-loop (AHCL) therapy with the Medtronic MiniMed™ 780G system improves glycemia; however, the clinical outcomes in younger children remain less established. This pilot study aimed to explore the continuous glucose monitoring (CGM) metrics in very young children on AHCL. Children between 2 and 7 years of age and on insulin pump therapy were recruited.
Understanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
A lifelong auto-immune condition that can affect anyone, but is most commonly diagnosed in childhood.
Recent diabetes technology is helping 12-year-old Drina keep on top of her condition and be independent, while significantly easing the disease burden on her family.
This study aimed to describe the vitamin D status of pregnant women in Western Australia and identify predictors of deficiency in pregnancy. A cross-sectional study was conducted using linked data from statewide administrative data collections.
Previous research has established that adolescents with type 1 diabetes (T1D) experience more anxiety symptoms than their healthy peers and are also more likely to develop an anxiety disorder. Research in cognitive psychology has found that selective attention favouring the processing of threatening information causally contributes to elevated levels of anxiety; however, this process has not been investigated in the context of T1D.
The potential of using an electroencephalogram (EEG) to detect hypoglycemia in patients with type 1 diabetes has been investigated in both time and frequency domains. Under hyperinsulinemic hypoglycemic clamp conditions, we have shown that the brain's response to hypoglycemic episodes could be described by the centroid frequency and spectral gyration radius evaluated from spectral moments of EEG signals.