Reports and Findings
Research
Factors influencing scar formation following Bacille Calmette-Guérin (BCG) vaccinationThe prevalence of scar formation following Bacille Calmette-GuĂ©rin (BCG) vaccination varies globally. The beneficial off-target effects of BCG are proposed to be stronger amongst children who develop a BCG scar. Within an international randomised trial ('BCG vaccination to reduce the impact of coronavirus disease 2019 (COVID-19) in healthcare workers'; BRACE Trial), this nested prospective cohort study assessed the prevalence of and factors influencing scar formation, as well as participant perception of BCG scarring 12 months following vaccination.
Research
Australian and New Zealand consensus guideline for paediatric newly diagnosed immune thrombocytopaenia endorsed by Australian New Zealand Children's Haematology and Oncology GroupIn children, the majority of cases are self-limiting and thus many paediatric patients can be managed conservatively with minimal complications. This varies considerably compared to adult newly diagnosed immune thrombocytopaenia (NDITP) where, in most cases, thrombocytopaenia persists with higher risk of moderate to severe bleeding complications.
Research
Blinatumomab Added to Chemotherapy in Infant Lymphoblastic LeukemiaKMT2A-rearranged acute lymphoblastic leukemia (ALL) in infants is an aggressive disease with 3-year event-free survival below 40%. Most relapses occur during treatment, with two thirds occurring within 1 year and 90% within 2 years after diagnosis. Outcomes have not improved in recent decades despite intensification of chemotherapy.
Research
Multi-omic profiling reveals an RNA processing rheostat that predisposes to prostate cancerProstate cancer is the most commonly diagnosed malignancy and the third leading cause of cancer deaths. GWAS have identified variants associated with prostate cancer susceptibility; however, mechanistic and functional validation of these mutations is lacking.
Research
Rheumatic heart disease mortality in Indigenous and non-Indigenous Australians between 2010 and 2017To generate contemporary age-specific mortality rates for Indigenous and non-Indigenous Australians aged <65 years who died from rheumatic heart disease between 2013 and 2017, and to ascertain the underlying causes of death of a prevalent RHD cohort aged <65 years who died during the same period.
Research
Community knowledge, attitude and practices regarding zoonotic viral haemorrhagic fevers in five geo-ecological zones in TanzaniaViral haemorrhagic fevers (VHF) cause significant economic and public health impact in Sub-Saharan Africa. Community knowledge, awareness and practices regarding such outbreaks play a pivotal role in their management and prevention. This study was carried out to assess community knowledge, attitude and practices regarding VHF in five geo-ecological zones in Tanzania.
Research
Arsenic and respiratory diseaseArsenic is the only environmental toxin that has been linked to both malignant and nonmalignant respiratory disease following ingestion, rather than inhalation, making arsenic a unique toxicant to the respiratory system. Chronic exposure to arsenic has been associated with the development of respiratory symptoms, impaired lung function, and chronic lung disease.
Research
Life in a time of COVID: retrospective examination of the association between physical activity and mental well-being in western Australians during and after lockdownThe aim of this study was to examine physical activity and sedentary behaviours during Western Australia's COVID-19 lockdown and their association with mental well-being.
Research
Population-based assessment of cardiovascular complications of rheumatic heart disease in Fiji: a record-linkage analysisTo determine population-based rates of non-fatal complications of rheumatic heart disease (RHD).
Research
Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq dataMachine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.