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Co-designing a new clinical pathway to support families with children identified as having early-stage type 1 diabetes in Western Australia

Children with early-stage (pre-symptomatic) type 1 diabetes are currently identified primarily via research-based screening programmes in Australia. Once identified, families live with the knowledge that their child has an increased chance of developing symptomatic, lifelong, insulin-requiring type 1 diabetes but have no specific clinical pathway available to them in Western Australia for accessing tailored support or education. This project aimed to co-design a new clinical pathway to address this unmet need.

A microRNA-based dynamic risk score for type 1 diabetes

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. 

Glycemic and Psychosocial Outcomes of Advanced Hybrid Closed-Loop Therapy in Youth With High HbA1c: A Randomized Clinical Trial

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.

Acceptance and Commitment Therapy (ACT) intervention in adolescents with type 1 diabetes: A pilot and feasibility study

A considerable proportion of patients with type 1 diabetes (T1D) experience emotional problems due to the continual demands of the disease, which may persist throughout life without appropriate support. The aim of this study was to assess the feasibility and acceptability of an Acceptance and Commitment Therapy (ACT) intervention and provide early indications of its capacity to impact psychosocial outcomes for adolescents with T1D. 

Lifting the wellbeing of adolescents and young adults with type 1 diabetes: A feasibility study of the LIFT app

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.

Evolution of islet autoantibodies in the Environmental Determinants of Islet Autoimmunity (ENDIA) prospective cohort

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.

Dietary patterns during pregnancy and maternal and birth outcomes in women with type 1 diabetes: the Environmental Determinants of Islet Autoimmunity (ENDIA) study

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. 

A randomised trial of a trauma-informed well-being program to promote mental health in adolescents with type 1 diabetes: Study protocol

Children and young people with type 1 diabetes (T1D) experience high rates of mental ill health and stress due to the emotional and cognitive energy required to manage their condition. Our team has codesigned Wellbeing T1D, a brief trauma-informed online intervention for adolescents living with T1D. This 5-week intervention will teach skills to promote problem solving, improve emotional regulation and promote helpful thinking and coping.

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 Zealand

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 %.

The Right Advice, from the Right Person, in the Right Way: Non-Engaged Consumer Families’ Preferences for Lifestyle Intervention Design Relating to Severe Obesity in Childhood

Family-based lifestyle interventions for children/adolescents with severe levels of obesity are numerous, but evidence indicates programs fail to elicit short- or longer-term weight loss outcomes. Families with lived experience can provide valuable insight as we strive to improve outcomes from programs. Our aim was to explore elements that families desired in a program designed to treat severe levels of obesity in young people.