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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New ZealandType 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 %.
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Acute hyperglycaemia does not alter nitric oxide-mediated microvascular function in the skin of adolescents with type 1 diabetesImpact of an acute bout of hyperglycaemia on nitric oxide (NO)-mediated microvascular function in the skin of adolescents with type 1 diabetes
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Improving epinephrine responses in hypoglycemia unawareness with real-time continuous glucoseThe objective of this study was to determine whether real-time continuous glucose monitoring (CGM) with preset alarms at specific glucose levels would prove...
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Birth order and childhood type 1 diabetes risk: A pooled analysis of 31 observational studiesBackground: The incidence rates of childhood onset type 1 diabetes are almost universally increasing across the globe but the aetiology of the disease...
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Automated Insulin Delivery Is Associated with Reduced Hospital Admissions and Costs for Acute Diabetes Complications in Children with Type 1 DiabetesThis study evaluated the association between insulin regimen, hospitalization for acute diabetes complications, and related health care costs in children with type 1 diabetes (T1D). Hospital admissions for diabetic ketoacidosis or hypoglycemia between January 5, 2022, and April 30, 2024, were analyzed in Western Australian children with T1D. Admissions due to newly diagnosed T1D were excluded. Incidence rate ratios were calculated using generalized estimating equations, adjusted for age, diabetes duration, and socioeconomic status.
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"i Think i Could Have Used It Better": Experiences of Youth with High HbA1c Commencing Advanced Hybrid Closed-Loop Therapy in a Clinical Trial Setting - A Qualitative ResearchAdvanced hybrid closed-loop (AHCL) therapy improves glycemia. However, it is not known if there is an improvement in overall outcomes with AHCL for youth with type 1 diabetes (T1D) at high risk of diabetes-related complications. The study aimed to capture the experiences of youth with suboptimal glycemic control when commencing AHCL therapy in a clinical trial setting.
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Improving screening in a paediatric cohort for cystic fibrosis-related diabetes: A quality improvement projectAndré Schultz MBChB, PhD, FRACP Head, BREATH Team Head, BREATH Team Prof André Schultz is the Head, BREATH Team at The Kids Research Institute
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A rapid review to inform the policy and practice for the implementation of chronic disease prevention and management programs for Aboriginal and Torres Strait Islander people in primary careMore than 35% of Aboriginal and Torres Strait Islander adults live with cardiovascular disease, diabetes, or chronic kidney disease. There is a pressing need for chronic disease prevention and management among Aboriginal and Torres Strait Islander people in Australia. Therefore, this review aimed to synthesise a decade of contemporary evidence to understand the barriers and enablers of chronic disease prevention and management for Aboriginal and Torres Strait Islander People with a view to developing policy and practice recommendations.
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Coexisiting type 1 diabetes and celiac disease is associated with lower Hba1c when compared to type 1 diabetes alone: data from the Australasian Diabetes Data Network (ADDN) registryTo compare HbA1c and clinical outcomes in adolescents and young adults with type 1 diabetes, with or without celiac disease.
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Impact of Body Composition on the Accuracy of a Medtronic Guardian Continuous Glucose Monitoring SystemContinuous glucose monitoring systems are used in therapeutic decisions for diabetes management, however, the impact of body composition on CGM accuracy is not known. Body composition variables were collected in an observational study designed to determine the accuracy of an investigational Medtronic Guardian™ sensor 3.