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Research

Differences in stroke risk and cardiovascular mortality for Aboriginal and other Australian patients with atrial fibrillation

Stroke risk and cardiovascular mortality are markedly higher for Aboriginal than non-Aboriginal patients with atrial fibrillation, particularly for patients under 60

Research

Rheumatic heart disease in pregnancy: Profile of women admitted to a Western Australian tertiary obstetric hospital

This retrospective study assessed maternal and perinatal outcomes for women with rheumatic heart disease admitted to the largest tertiary obstetric hospital

Research

Higher frequency of vertebrate-infecting viruses in the gut of infants born to mothers with type 1 diabetes

We demonstrate a distinct gut virome profile in infants of mothers with type 1 diabetes, which may influence health outcomes later in life

Research

The detection of bile acids in the lungs of paediatric cystic fibrosis patients is associated with altered inflammatory patterns

Our work has identified a clinically relevant host-derived factor that may participate in shaping early events in the aetiology of CF respiratory disease

Research

A spatio-temporal analysis to identify the drivers of malaria transmission in Bhutan

Hot spots and clusters of both species were isolated in the central southern part of Bhutan bordering India

Research

Volatiles or TIVA: Which is the standard of care for pediatric airway procedures? A pro-con discussion

This pro-con discussion examines both volatiles and TIVA, from the perspective of effectiveness, safety, cost, and environmental impact,

Research

Socioethnic disparities in severe maternal morbidity in Western Australia: a statewide retrospective cohort study

To assess the scale of ethnic inequalities in severe maternal morbidity (SMM) rates and quantify the contribution of maternal characteristics to these disparities. This is a retrospective cohort study. A whole-of-population linked administrative data from 2002 to 2015 in Western Australia.

Research

Options and realities for trans and gender diverse young people receiving care in Australia's mental health system: findings from Trans Pathways

Trans and gender diverse young people experience mental health difficulties self-harm and suicidality at markedly higher rates than the general population, yet they often feel isolated from mental health services. There is little qualitative research on the experiences of trans and gender diverse young people accessing mental health support in Australia.

Research

High-Fiber Diet during Pregnancy Characterized by More Fruit and Vegetable ConsumptionHigh-Fiber Diet during Pregnancy Characterized by More Fruit and Vegetable Consumption

Higher dietary fiber intakes during pregnancy may have the potential health benefits of increasing gut microbiome diversity, lowering the risk of glucose intolerance and pre-eclampsia, achieving appropriate gestational weight gain, and preventing constipation. In this observational cohort study, we have assessed the dietary fiber intakes of 804 women in late pregnancy, using a semi-quantitative food frequency questionnaire (SQ-FFQ). Overall, the median (interquartile range) dietary fiber intake was 24.1 (19.0-29.7) grams per day (g/day). Only 237/804 (29.5%) women met the recommended Adequate Intake (AI) of dietary fiber during pregnancy of 28 g/day.

Research

Development of a Self-Harm Monitoring System for Victoria

The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and internationally. The World Health Organization has recommended that member states develop self-harm surveillance systems as part of their suicide prevention efforts. This is also a priority under Australia's Fifth National Mental Health and Suicide Prevention Plan. The aim of this paper is to describe the development of a state-based self-harm monitoring system in Victoria, Australia. In this system, data on all self-harm presentations are collected from eight hospital emergency departments in Victoria. A natural language processing classifier that uses machine learning to identify episodes of self-harm is currently being developed.