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Environmental impact of inhaled medicines: A Thoracic Society of Australia and New Zealand position statement

Globally, more than 1.2 billion inhalers are purchased for asthma and chronic obstructive pulmonary disease (COPD) annually. In Australia and New Zealand, pressurized metered dose inhalers (pMDIs) are the leading delivery device prescribed and pMDI salbutamol can be purchased over the counter in Australia. These inhalers are a major contributor to healthcare related greenhouse gases. 

Transmission potential of Streptococcus pyogenes during a controlled human infection trial of pharyngitis

Controlled human infection (CHI) models can provide insights into transmission of pathogens such as Streptococcus pyogenes (Strep A). As part of the Controlled Human Infection with Penicillin for Streptococcus pyogenes (CHIPS) trial, we explored the potential for transmission among participants deliberately infected with the Strep A emm75 strain.

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

Examining Changes in Implementation of Priority Healthy Eating and Physical Activity Practices, and Related Barriers, Over Time in Australian Early Childhood Education and Care Services

Promoting healthy eating and physical activity in early childhood education and care is recommended within guidelines and supported by health promotion programs; however, implementation is suboptimal. Evidence suggests implementation within the sector varies over time; however, this has not been empirically examined in relation to implementation barriers. 

Mining single-cell data for cell type-disease associations

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and

Real world effectiveness of early ensitrelvir treatment in patients with SARS-CoV-2, a retrospective case series

Ensitrelvir, a 3C-like protease inhibitor, received emergency approval in Japan in November 2022 for treating non-hospitalized patients with mild-to-moderate COVID-19. However, confirmation of its real-world clinical effectiveness is limited.

Food Allergy Genetics and Epigenetics: A Review of Genome-Wide Association Studies

In this review, we provide an overview of food allergy genetics and epigenetics aimed at clinicians and researchers. This includes a brief review of the current understanding of genetic and epigenetic mechanisms, inheritance of food allergy, as well as a discussion of advantages and limitations of the different types of studies in genetic research. 

Session Rating of Perceived Exertion Is a Valid Method to Monitor Intensity of Exercise in Adults with Acute Burn Injuries

Measuring exercise intensity for safety and to inform prescription in acute burn survivors, is challenging. This study aimed to assess the validity of adult patient end-of-workout rating of session perceived exertion (sRPE); and calculated training load (TL) (sRPE × session duration) as measures of exercise intensity. Secondly, the study aimed to compare clinician and patient perception of exercise effort during physiotherapist-led sessions.

Social Support Buffers the Association Between Alcohol Use and Depression in Australian Men

Alcohol use and depression are known correlates of one another, especially in men, and are influenced by a range of demographic and psychosocial factors. This study examined the association between alcohol use and depressive symptoms in a large representative cohort of Australian men. We also tested whether this association differed by men's age, household income, social support, illicit drug use and help-seeking.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

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 %.