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This study provides the first evidence that, ketogenic diets in adults with Type 1 diabetes are associated with excellent HbA1c levels and little glycaemic variability
Chronic inflammation may expand sub-populations of T cells expressing CTLA-4 in COPD patients and therefore impair T-cell function
Determining the incidence of hospitalisations and risk factors for vascular complications experienced during early adulthood in patients with childhood T1D
Immune responses after the initial vaccination persisted for the 12 months studied, with little additional response after the booster dose at 6 months
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 phase 1 trial assessed the safety and immunogenicity of an investigational tetanus/diphtheria/acellular pertussis vaccine combined with CpG 1018 adjuvant 1500 μg (Tdap-1018 1500 μg) or 3000 μg (Tdap-1018 3000 μg) in adults and adolescents.
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.
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.
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 %.