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Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 CohortMultimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging.
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Incidence and survival for childhood cancer by endorsed non-stage prognostic indicators in AustraliaNick Gottardo MBChB FRACP PhD Head of Paediatric and Adolescent Oncology and Haematology, Perth Children’s Hospital; Co-head, Brain Tumour Research
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Adapting a measure of gross motor skills for individuals with CDKL5 deficiency disorder: A psychometric studyValidated measures capable of demonstrating meaningful interventional change in the CDKL5 deficiency disorder (CDD) are lacking. The study objective was to modify the Rett Syndrome Gross Motor Scale (RSGMS) and evaluate its psychometric properties for individuals with CDD.
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Remote paediatric ear examination comparing video-otoscopy and still otoscopy clinician rated outcomesTelemedicine, particularly real time video-otoscopy in rural and remote Australia holds great potential in assessing and managing otology conditions. There is good evidence of store and forward images for assessment, however limited evidence exists for the use of real-time video-otoscopy. The objective of this study was to assess the validity of using real time video-otoscopy, compared to standard store and forward still image otoscopy, in a paediatric population.
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Trajectories of homelessness and association with mental health and substance use disorders among young people transitioning from out-of-home care in AustraliaResearchers have examined sub-groups that may exist among young people transitioning from out-of-home care (OHC) using various theoretical models. However, this population group has not been examined for trajectories of homelessness risk.
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State transitions across the Strep A disease spectrum: scoping review and evidence gapsThe spectrum of diseases caused by Streptococcus pyogenes (Strep A) ranges from superficial to serious life-threatening invasive infections. We conducted a scoping review of published articles between 1980 and 2021 to synthesize evidence of state transitions across the Strep A disease spectrum. We identified 175 articles reporting 262 distinct observations of Strep A disease state transitions.
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CD4+ T cell immunity against cutaneous melanoma encompasses multifaceted MHC II-dependent responsesWhereas CD4+ T cells conventionally mediate antitumor immunity by providing help to CD8+ T cells, recent clinical studies have implied an important role for cytotoxic CD4+ T cells in cancer immunity. Using an orthotopic melanoma model, we provide a detailed account of antitumoral CD4+ T cell responses and their regulation by major histocompatibility complex class II (MHC II) in the skin.
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Investigating the impact of autistic children's feeding difficulties on caregiversThe aim of this study was to investigate the influence of children's autism characteristics, sensory profiles and feeding difficulties on caregiver-reported impact at mealtimes.
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The impact for DCD – USA study: The current state of Developmental Coordination Disorder (DCD) in the United States of AmericaDevelopmental Coordination Disorder (DCD) is among the most under-recognized and under-supported disorders worldwide. The aim of this study was to present a preliminary national study that evaluated the unmet needs of children with DCD in the USA using the Impact for DCD survey.
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Joint developmental trajectories of internalizing and externalizing problems from mid-childhood to late adolescence and childhood risk factors: Findings from a prospective pre-birth cohortThere is limited evidence on heterogenous co-developmental trajectories of internalizing and externalizing problems from childhood to adolescence and predictors of these joint trajectories. We utilized longitudinal data from Raine Study participants to identify these joint trajectories from 5 to 17 years using parallel-process latent class growth analysis and analyze childhood individual and family risk factors predicting these joint trajectories using multinomial logistic regression.