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There is no published information on preterm children's activities and participation during middle childhood, a time when growth and development are characterised by increasing motor, reasoning, self-regulation, social and executive functioning skills. This study explored the health, activities and participation of children born very preterm during middle childhood (6-9 years) from the perspectives of their parents.
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.
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.
Preterm birth is associated with a 3.3-fold increased likelihood of autism diagnosis, with lower gestational age conferring higher likelihood. In Australia, autism is typically diagnosed at around age four, potentially missing the optimal neuroplasticity window before age two. The Social Attention and Communication Surveillance-Revised (SACS-R) tool identifies early autism signs in children aged 11-30 months, enabling pre-emptive intervention.
Attention-Deficit/Hyperactivity Disorder (ADHD)/Hyperkinetic Disorder (HD) is linked to increased risks of morbidity, comorbidity and mortality, with higher prevalence in clinical populations. The differential prevalence of ADHD/HD across adult and pediatric clinical populations, influenced by factors such as time trends, sex, age, geographic regions, and comorbidities, has not been systematically assessed.
To provide updated evidence-based clinical guidance in the management of infants with bronchiolitis presenting to emergency departments (EDs), general paediatric, or intensive care units (ICUs) in Australia and Aotearoa New Zealand (AoNZ) following the first publication in 2016.
The transport of sick newborn infants with respiratory distress leads to unwanted stress at time of physiological instability. There is dearth of studies to evaluate these stress levels. This pilot prospective observational before-after study aimed to evaluate the plasma cortisol levels (as surrogate marker of stress) in infants with respiratory distress during different phases of neonatal transport.
In this paper, we describe the developmental process of a culturally grounded Moombaki virtual reality (VR) game. We share how Aboriginal children’s drawings have informed the creation of an interactive learning platform for primary school-aged children attending schools in Wadjuk Boodja. The project focused on connecting students to cultural knowledge through immersive storytelling, creative exploration, and collaborative design by using small group yarning circles and game development activities.
Survivors of preterm birth (<37 weeks' gestation) have low peak oxygen uptake, a global measure of aerobic fitness and an established predictor of increased morbidity and mortality. However, little is known about other cardiopulmonary outcome measures in this population. We addressed the hypothesis that preterm birth is associated with abnormal respiratory, cardiovascular and metabolic responses to exercise, as assessed by cardiopulmonary exercise testing, via a systematic review and meta-analysis.
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.