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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.
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.
Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.
The algorithm that was tested against moderate exercise and an overreading glucose sensor performed well in terms of hypoglycemia avoidance
A national collaboration was formed to provide longitudinal collection of T1D patient characteristics and outcomes, the Australasian Diabetes Data Network
The aim of this study was to determine the efficacy of this algorithm in the prevention of exercise-induced hypoglycemia under in-clinic conditions
The aim of this study was to determine whether predictive low glucose management (PLGM) system is effective in preventing insulin-induced hypoglycemia
This study aimed to determine the incidence and incidence rate trends of type 1 diabetes mellitus in children aged 0–14 years...
This editorial response addresses each of the concerns raised by Lin et al. RE: Risk Factors for Decline in IQ in Youth With Type 1 Diabetes Over the 12...
This study used a prototype algorithm to look at the feasibility of home use insulin pump hardware (MiniMed 670G) for improved insulin delivery.