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Diverse diagnostic and management approaches for acute rheumatic fever in Australia and New Zealand: findings of a prospective clinical study

This study provides new knowledge on ARF characteristics and management and highlights international variation in diagnostic and management practice.

The Unintended Impact of COVID-19 Associated Non-Pharmaceutical Interventions on Paediatric Hospital Admissions: An Interrupted Time Series Analysis

COVID-19 related non-pharmaceutical interventions (NPIs) disrupted global healthcare utilisation, with notable declines in infection related paediatric hospitalisations. We aimed to identify non-infectious paediatric conditions for which the incidence of hospital admissions increased during the introduction and alleviation of NPIs in 2020.

Therapeutic potential of plant-based therapies in pediculosis capitis: Systematic review and meta-analysis

Pediculosis capitis is a worldwide prevalent public health issue, mostly involving children. Resistance has been increasingly identified with conventional treatments such as permethrin or malathion. We aimed to evaluate the therapeutic potential of plant-based therapies for pediculosis capitis. PubMed, MEDLINE, Embase, EmCare, Web of Science, Cochrane, and ScienceDirect were searched for studies.

Impact of vaccine mandates and removals on COVID-19 vaccine uptake in Australia and international comparators: a study protocol

Vaccination against SARS-CoV-2 was a crucial public health measure during the COVID-19 pandemic. Among the multiple strategies developed to increase vaccine uptake, governments often employed vaccine mandates. However, little evidence exists globally about the impact of these mandates and their subsequent removal on vaccine uptake, including in Australia, France, Italy and the USA.

Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.

Quicker team launch times for urgent priority neonatal retrievals: A Quality Improvement Initiative study

Neonatal retrieval networks have adopted time-centric quality metrics as Key Performance Indicators (KPI) for setting and comparing benchmarking standards. Quicker launch time (departure from base), an essential KPI, enables neonatal retrieval teams to rapidly provide higher-level care to sick infants. The Newborn Emergency Transport Services of Western Australia (NETS WA) facilitates neonatal transfers across largest global retrieval area necessitating quicker team launch times for urgent retrievals. NETS WA conducted a quality improvement (QI) study to quicken team launch times for urgent retrievals.

Psychometric evaluation of the Comprehensive Autistic Trait Inventory in autistic and non-autistic adults

Measures of autistic traits are only useful – for pre-diagnostic screening, exploring individual differences, and gaining personal insight – if they efficiently and accurately assess autism as currently conceptualised while maintaining psychometric validity across different demographic groups. We recruited 1322 autistic and 1279 non-autistic adults who varied in autism status (non-autistic, diagnosed autistic, self-identifying autistic) and gender (cisgender men, cisgender women, gender diverse) to assess the psychometric properties of the Comprehensive Autistic Trait Inventory, a recently developed measure of autistic traits that examines six trait domains using 42 self-report statements.

Benchmarking Imputed Low Coverage Genomes in a Human Population Genetics Context

Ongoing advances in population genomic methodologies have recently enabled the study of millions of loci across hundreds of genomes at a relatively low cost, by leveraging a combination of low-coverage shotgun sequencing and innovative genotype imputation methods. This approach has the potential to provide abundant genotype information at low costs comparable to another widely used cost-effective genotyping approach-that is, SNP panels-while avoiding potential issues related to loci being ascertained in distantly related populations.

Realising the potential impact of artificial intelligence for rare diseases – A framework

Rare diseases (RD) are conditions affecting fewer than 1 in 2000 persons, with over 7000 largely genetic RDs affecting 3.5 %-5.9 % of the global population, or approximately 262.9–446.2 million people. The substantial healthcare burden and costs, such as the $1 trillion annual expense in the USA, highlight the urgent need for improved RD management. The International Rare Diseases Research Consortium (IRDiRC) addresses this need through global collaboration, aiming for timely and accurate diagnosis, development of 1000 new therapies, and methodologies to measure impact by 2027.

Tumor site-directed A1R expression enhances CAR T cell function and improves efficacy against solid tumors

Citation: Sek K, Chen AXY, Cole T, Armitage JD, Tong J, ……… Waithman J, Parish IA, et al. Tumor site-directed A1R expression enhances CAR T cell