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General Movement Optimality Score-Revised (GMOS-R) with General Population-Based Percentile Ranks

To describe writhing General Movements Assessment (GMA) classification and General Movement Optimality Score-Revised (GMOS-R) profiles in the general population; to explore relationships between GMOS-R scores and GMA classification, age of assessment and infant socio-demographic factors; and to establish the inter-rater reproducibility of writhing age GMA classification and GMOS-R.

Health literacy scale for English-speaking children: translation and validation of the HLS-Child-Q15-EN

To translate and validate the HLS-Child-Q15, a relatively short questionnaire for assessing health literacy in children originally validated in German, into English to make it accessible to a large population of English-speaking children.

Longitudinal observational research study: establishing the Australasian Congenital Cytomegalovirus Register (ACMVR)

Congenital cytomegalovirus (cCMV) is an important cause of long-term childhood disability. In Australia, the identification and treatment practices and the long-term clinical and neurodevelopmental outcomes of children with cCMV are unknown.

Immune Development in Early Life (IDEaL) longitudinal cohort study protocol: Identifying biomarkers of vaccine responsiveness, respiratory infection, and asthma

Early-life immune development is a critical factor in predicting the risk of childhood respiratory infections, asthma, and poor vaccine responses. Identifying immune endotypes that predispose children to these conditions could lead to the development of predictive biomarkers and early interventions, potentially improving long-term health outcomes. 

Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.

Few sex differences in regional gray matter volume growth trajectories across early childhood

Sex-specific developmental differences in brain structure have been documented in older children and adolescents, with females generally showing smaller overall brain volumes and earlier peak ages than males. However, sex differences in gray matter structural development in early childhood are less studied. We characterized sex-specific trajectories of gray matter volume development in children aged 2–8 years.  

Efficacy and Safety of Epicutaneous Immunotherapy in Peanut-Allergic Toddlers: Open-Label Extension to EPITOPE

The pivotal phase 3 EPITOPE trial, a 12-month, double-blind, placebo-controlled study of epicutaneous immunotherapy with the VIASKIN patch containing 250 μg of peanut protein (VP250), previously reported significant treatment response versus placebo in peanut-allergic toddlers aged 1 through 3 years.

Understanding Disclosure Decisions in Parents of Children with Attention Deficit/Hyperactivity Disorder

Parents of children with attention-deficit/hyperactivity disorder (ADHD) often make disclosure decisions about their child's ADHD on their behalf. While disclosure can facilitate access to support, it risks stigma. Despite ADHD being one of the most common neurodevelopmental conditions, little is known about parent's experiences in relating information about their child's ADHD diagnosis or medication use, to others.

Predicting regional and temporal incidence of RSV and influenza hospitalizations in a birth cohort of young Australian children

Western Australia experiences multiple climatic zones, influencing the epidemiology of respiratory viruses. We aimed to estimate the true incidence of respiratory syncytial virus and influenza hospitalizations across these different climatic regions using predictive modelling.

IDH mutant high-grade gliomas

Gliomas are the most common type of malignant primary central nervous system (CNS) tumors, resulting in significant morbidity and mortality in children and adolescent and young adult (AYA) patients. The discovery of mutations in isocitrate dehydrogenase (IDH) genes has dramatically changed the classification and understanding of gliomas.  IDH mutant gliomas have distinct clinical, pathological, and molecular features including a favorable prognosis and response to therapy compared to their wildtype counterparts.