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To determine the efficacy of advanced hybrid closed-loop therapy in a high-risk cohort of youth on continuous subcutaneous insulin infusion with or without continuous glucose monitoring with suboptimal glycemia.
Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
Islet autoantibodies herald early type 1 diabetes. However, less is known of the evolution of autoantibodies to the islet autoantigen ZnT8. Our primary aim was to characterise the development of islet autoantibodies in a pregnancy-birth at-risk cohort and to provide new knowledge about ZnT8A.
Identifying individuals at high risk of type 1 diabetes (T1D) is crucial as disease-delaying medications are available. Here we report a microRNA (miRNA)-based dynamic (responsive to the environment) risk score developed using multicenter, multiethnic and multicountry ('multicontext') cohorts for T1D risk stratification. Discovery (wet and dry lab) analysis identified 50 miRNAs associated with functional β cell loss, which is a hallmark of T1D.
To explore trends in the receipt of commonly prescribed medications (beyond insulin) in people with type 1 diabetes in Australia, including polypharmacy, and to investigate socioeconomic disparities across these trends.
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.
One third of Australian children diagnosed with type 1 diabetes present with life-threatening diabetic ketoacidosis (DKA) at diagnosis. Screening for early-stage, presymptomatic type 1 diabetes, with ongoing follow-up, can substantially reduce this risk (<5% risk). Several screening models are being trialled internationally, without consensus on the optimal approach. This pilot study aims to assess three models for a routine, population-wide screening programme in Australia.
Dietary patterns characterised by high intakes of vegetables may lower the risk of pre-eclampsia and premature birth in the general population. The effect of dietary patterns in women with type 1 diabetes, who have an increased risk of complications in pregnancy, is not known.
Adolescents and young adults with type 1 diabetes have an increased risk of psychological distress. To address this, psychological support provided asynchronously via an app may be feasible. Our study aimed to explore feasibility and safety of the LIFT wellbeing app.
Enteroviruses (EVs) have long been implicated in the development of islet autoimmunity (IA) and type 1 diabetes. However, given the ubiquity of EV infections in children, disease susceptibility is likely driven by host-specific immune responses rather than viral exposure alone.