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Glycaemic outcomes in Australasian children and adults with Type 1 Diabetes: failure to meet targets across the age spectrumThe goal of therapy in Type 1 diabetes is to achieve optimal glycaemic targets and reduce complications. Robust data representing glycaemic outcomes across the lifespan are lacking in Australasia.
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Fecal sample collection methods and time of day impact microbiome composition and short chain fatty acid concentrationsAssociations between the human gut microbiome and health outcomes continues to be of great interest, although fecal sample collection methods which impact microbiome studies are sometimes neglected. Here, we expand on previous work in sample optimization, to promote high quality microbiome data. To compare fecal sample collection methods, amplicons from the bacterial 16S rRNA gene (V4) and fungal (ITS2) region, as well as short chain fatty acid (SCFA) concentrations were determined in fecal material over three timepoints.
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Data Resource Profile: The South Australian Well-being and Engagement Collection (WEC)Mental health and well-being during childhood and adolescence have been shown to impact on health, educational attainment and employment in adulthood.1–3 Although health and education systems worldwide have long recognized the importance of promoting student well-being,4–6 population-wide monitoring of well-being remains uncommon.
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From program suspension to the pandemic: A qualitative examination of Australia's vaccine pharmacovigilance system over 10 yearsIn 2010, the Australian seasonal influenza vaccination program for children under 5 years of age was suspended due to an unexpected increase in fever and febrile convulsions causally associated with one particular influenza vaccine brand. A subsequent national review made seven recommendations to improve vaccine pharmacovigilance.
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Supporting patient-clinician interaction in chronic HIV care: Design and development of a patient-reported outcomes software applicationThe consideration of health-related quality of life (HRQL) is a hallmark of best practice in HIV care. Information technology offers an opportunity to more closely engage patients with chronic HIV infection in their long-term management and support a focus on HRQL.
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Fetal Growth Restriction and Asthma: Is the Damage Done?Trajectories of airway remodeling and functional impairment in asthma are consistent with the notion that airway pathology precedes or coincides with the onset of asthma symptoms and may be present at birth.
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Systematic In Vitro Evaluation of a Library of Approved and Pharmacologically Active Compounds for the Identification of Novel Candidate Drugs for KMT2A-Rearranged LeukemiaPatients whose leukemias harbor a rearrangement of the Mixed Lineage Leukemia (MLL/KMT2A) gene have a poor prognosis, especially when the disease strikes in infants. The poor clinical outcome linked to this aggressive disease and the detrimental treatment side-effects, particularly in children, warrant the urgent development of more effective and cancer-selective therapeutics.
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Functional validation of variants of unknown significance using CRISPR gene editing and transcriptomics: A Kleefstra syndrome case studyThere are an estimated > 400 million people living with a rare disease globally, with genetic variants the cause of approximately 80% of cases. Next Generation Sequencing (NGS) rapidly identifies genetic variants however they are often of unknown significance.
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Olfactory dysfunction at six months after coronavirus disease 2019 infectionThis study aimed to assess olfactory dysfunction in patients at six months after confirmed coronavirus disease 2019 infection. Coronavirus disease 2019 positive patients were assessed six months following diagnosis. Patient data were recoded as part of the adapted International Severe Acute Respiratory and Emerging Infection Consortium Protocol. Olfactory dysfunction was assessed using the University of Pennsylvania Smell Identification Test.
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A simulation study of disaggregation regression for spatial disease mappingDisaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data.