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An increased prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes in children was observed in various diabetes centres worldwide during the COVID-19 pandemic. We aimed to evaluate trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes before and during the COVID-19 pandemic, and to identify potential predictors of changes in diabetic ketoacidosis prevalence during the pandemic.
Islet autoantibody screening of infants and young children in the Northern Hemisphere, together with semi-annual metabolic monitoring, is associated with a lower risk of ketoacidosis (DKA) and improved glucose control after diagnosis of clinical (stage 3) type 1 diabetes (T1D). We aimed to determine if similar benefits applied to older Australians and New Zealanders monitored less rigorously.
The relationship between diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes and long-term glycemic control varies between studies. We aimed, firstly, to characterize the association of DKA and its severity with long-term HbA1c in a large contemporary cohort, and secondly, to identify other independent determinants of long-term HbA1c.
Tim Jones MBBS DCH FRACP MD Co-head, Diabetes and Obesity Research Co-head, Diabetes and Obesity Research Areas of research expertise: Diabetes
Type 1 diabetes, one of the common chronic conditions in children and adolescents, is a serious lifelong condition requiring daily treatment with exogenous insulin for survival. Descriptive epidemiology is important for planning of adequate diabetes health-care provision and could provide clues to aetiology. Over the past few decades, standardised diabetes incidence registries have provided a wealth of data from selected countries.
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 %.
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.
Adolescence is a period of rapid transformation when meeting targets for optimal diabetes care is often challenging due to competing life demands. For more than two decades a diabetes transition clinic in Sydney, Australia, has sustained positive outcomes and demonstrated aspects of resilience in the care of individuals living with type 1 diabetes (T1D) who have transitioned from paediatric to adult care. Many studies have focused on resilience in acute care setting showever, studies that examine the factors that support resilience in settings that care for individuals with long-term, chronic conditions such as T1D are lacking.
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.
Less than 20% of Australians with type 1 diabetes (T1D) meet recommended glucose targets. Technology use is associated with better glycaemia, with the most advanced being automated insulin delivery (AID) systems, which are now recommended as gold-standard T1D care. Our Australian AID trial shows a wide spectrum of adults with T1D can achieve recommended targets. Other studies, including lived experience data, are supportive. Insulin pumps are not subsidised for most Australian adults with T1D. We advocate change.