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Research

Assessment and management of hypoglycemia in children and adolescents with diabetes

This paper provides clinical practice guidelines for treating low blood sugar in children and adolescents with Type 1 diabetes.

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Clinical evaluation of a noninvasive alarm system for nocturnal hypoglycemia

The aim of this study was to evaluate the performance of a prototype noninvasive alarm system (HypoMon) for the detection of nocturnal hypoglycemia.

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Western Australian Children’s Diabetes Database

This register was established at Princess Margaret Hospital in 1987 which stores data on all consenting patients attending the hospital’s diabetes clinic.

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Epidemiology of T2DM in childhood and associated disease complications

Investigating the incidence of childhood Type 2 Diabetes in the Western Australian community

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Intranasal Insulin Trial II

If successful, this vaccine could prevent type 1 diabetes and the need for daily insulin injections in people at risk.

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Adolescent type 1 diabetes cardio-renal Intervention trial

An international clinical trial looking at intervention with Angiotensin Converting Enzyme Inhibitors (ACEI), Statins, or a combination of both

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Safety evaluation of closed loop system during hypoglyaemic stimuli

The purpose of this study is to evaluate the safety of new system called the Medtronic MinimedTM 670G that has been designed for long term outpatient use.

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ApoB48-remnant lipoproteins are associated with increased cardiometabolic risk in adolescents

Plasma apoB48 remnant lipoproteins associate with cardiometabolic risk factors in adolescents and provide support for the screening of remnant cholesterol in youth

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Effect of a Hybrid Closed-Loop System on Glycemic and Psychosocial Outcomes in Children and Adolescents with Type 1 Diabetes: A Randomized Clinical Trial

Hybrid closed-loop (HCL) therapy has improved glycemic control in children and adolescents with type 1 diabetes; however, the efficacy of HCL on glycemic and psychosocial outcomes has not yet been established in a long-term randomized clinical trial.

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Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking

Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for in utero cigarette smoke exposure.