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Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.
People living with rare diseases had a high risk of negative health outcomes due to COVID-19. Pandemic preparedness will ensure best practice procedures and optimal outcomes during future pandemic events. This paper sought to understand the needs of children with rare diseases during the COVID-19 pandemic to inform preparation for future pandemic and disaster events. First, impacts and outcomes from the COVID-19 pandemic on people living with rare disease were identified in the literature.
Valid clinical outcome assessments with the ability to capture meaningful aspects of neurodevelopment for individuals with neurogenetic conditions associated with profound functional impairments are lacking, yet critical for clinical care and clinical trial readiness.
CDKL5 Deficiency Disorder (CDD) is a rare, X-linked dominant condition that causes a developmental and epileptic encephalopathy (DEE). The incidence is between ~ 1:40,000 and 1:60,000 live births. Pathogenic variants in CDKL5 lead to seizures from infancy and severe neurodevelopmental delay.
Individuals with Prader-Willi syndrome (PWS) often have excessive daytime sleepiness and emotional/behavioral disturbances. The objective of this study was to examine whether daytime sleepiness was associated with these emotional/behavioral problems, independent of nighttime sleep-disordered breathing, or the duration of sleep.
To describe the effect of chronic pain on the activities of children and adolescents with cerebral palsy, to describe coping strategies, and to examine associations between effect of pain on activities, coping strategies, and level of pain.
The natural history of MECP2 duplication syndrome (MDS), a rare X-linked neurodevelopmental disorder with an estimated birth prevalence of 1/150,000 live births, is poorly understood due to a lack of clinical data collected for research. Such information is critical to the understanding of disease progression, therapeutic endpoints and outcome measures for clinical trials, as well as the development of therapies and orphan products.
The aim of this study was to devise an evidence-based missing data rule for the Quality of Life Inventory-Disability (QI-Disability) questionnaire specifying how many missing items are permissible for domain and total scores to be calculated using simple imputation.
To examine the lived experiences of young people successfully managing life with ADHD and investigate the applicability of adult models of Recovery to these individuals.
Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.