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The association between behaviour and genotype in Rett Syndrome using the Australian Rett Syndrome Database

This study compared the behavior profile of cases in the Australian Rett Syndrome Database (ARSD) with those in a British study using the Rett Syndrome...

Cutting-edge CliniKids keeps families up-to-date

CliniKids, the first stand-alone clinical service offered by The Kids Research Institute Australia, was launched in October 2019 and is already delivering benefits for families with children who are developing differently.

Caregivers' Perceptions of Clinical Symptoms, Disease Management, and Quality of Life Impact in Cases of Cyclin-Dependent Kinase-Like 5 Deficiency Disorder: Cross-Sectional Online Survey

Cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder (CDD) is an ultrarare genetic condition causing developmental epileptic encephalopathy characterized by seizures and motor and intellectual disabilities. No disease-modifying therapies are available, and treatments focus mainly on symptom management to improve quality of life.

"What about us?"- the drawbacks of current bruxism assessment criteria in evaluating vulnerable groups

Jenny Helen Kingsley Downs Leonard Wong BApplSci (physio) MSc PhD MBChB MPH MBBS, MPH, MMedStat Head, Child Disability Principal Research Fellow

A brief history of MECP2 duplication syndrome: 20-years of clinical understanding

MECP2 duplication syndrome (MDS) is a rare, X-linked, neurodevelopmental disorder caused by a duplication of the methyl-CpG-binding protein 2 (MECP2) gene-a gene in which loss-of-function mutations lead to Rett syndrome (RTT). MDS has an estimated live birth prevalence in males of 1/150,000.

CDKL5 deficiency disorder: clinical features, diagnosis, and management

CDKL5 deficiency disorder (CDD) was first identified as a cause of human disease in 2004. Although initially considered a variant of Rett syndrome, CDD is now recognised as an independent disorder and classified as a developmental epileptic encephalopathy.

Burden of illness in Rett syndrome: initial evaluation of a disorder-specific caregiver survey

Rett syndrome (RTT) is a severe X-linked neurodevelopmental disorder associated with multiple neurologic impairments. Previous studies have shown challenges to the quality of life of individuals with RTT and their caregivers. However, instruments applied to quantify disease burden have not adequately captured the impact of these impairments on affected individuals and their families. Consequently, an international collaboration of stakeholders aimed at evaluating Burden of Illness in RTT was organized.

International workshop: what is needed to ensure outcome measures for Rett syndrome are fit-for-purpose for clinical trials? June 7, 2023, Nashville, USA

The clinical, research and advocacy communities for Rett syndrome are striving to achieve clinical trial readiness, including having fit-for-purpose clinical outcome assessments. This study aimed to (1) describe psychometric properties of clinical outcome assessment for Rett syndrome and (2) identify what is needed to ensure that fit-for-purpose clinical outcome assessments are available for clinical trials.

Rett Syndrome Behaviour Questionnaire: Variability of Scores and Related Factors

Rett syndrome (RTT) is a severe neurodevelopmental disorder affecting predominantly females and associated with variants in the MECP2 gene. Recent success in clinical trials have resulted in an expanded use of the Rett Syndrome Behaviour Questionnaire (RSBQ) for clinical and research purposes.

Rett Syndrome Behaviour Questionnaire in Children and Adults With Rett Syndrome: Psychometric Characterization and Revised Factor Structure

Rett syndrome (RTT) is a severe neurodevelopmental disorder associated with multiple neurobehavioral abnormalities. The Rett Syndrome Behaviour Questionnaire (RSBQ) was developed for pediatric RTT observational studies. Because its application has expanded to adult and interventional studies, we evaluated the RSBQ's psychometric properties in six pediatric (n = 323) and five adult (n = 309) datasets.