Skip to content
The Kids Research Institute Australia logo
Donate

No results yet

Search

Research

Respiratory follow-up to improve outcomes for Aboriginal children: twelve key steps

Among Aboriginal children, the burden of acute respiratory tract infections (ALRIs) with consequent bronchiectasis post-hospitalisation is high. Clinical practice guidelines recommend medical follow-up one-month following discharge, which provides an opportunity to screen and manage persistent symptoms and may prevent bronchiectasis.

Research

The FASTK family proteins fine-tune mitochondrial RNA processing

Transcription of the human mitochondrial genome and correct processing of the two long polycistronic transcripts are crucial for oxidative phosphorylation. According to the tRNA punctuation model, nucleolytic processing of these large precursor transcripts occurs mainly through the excision of the tRNAs that flank most rRNAs and mRNAs.

Research

Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial

Cerebral palsy (CP) is a physical disability that affects movement and posture. Approximately 17 million people worldwide and 34,000 people in Australia are living with CP. In clinical and kinematic research, goniometers and inclinometers are the most commonly used clinical tools to measure joint angles and positions in children with CP.

Research

Is there a role for lung-protective ventilation in healthy children?

Lung-protective ventilation (LPV) has been adopted in the theater environment as a strategy to reduce pulmonary complications under anesthesia. Postoperative pulmonary complications are not infrequent and may have significant implications on the postoperative length of stay as well as the morbidity and mortality of pediatric patients.

Research

Blinatumomab as bridging therapy in paediatric B-cell acute lymphoblastic leukaemia complicated by invasive fungal disease

Invasive fungal disease (IFD) remains a challenging complication of treatment for paediatric acute leukaemia. Consensus fungal treatment guidelines recommend withholding chemotherapy to facilitate immune recovery in this setting, yet prolonged delays in leukaemia therapy increase risk of relapse.

Research

Consensus guidelines for antifungal stewardship, surveillance and infection prevention, 2021

Invasive fungal diseases (IFD) are serious infections associated with high mortality, particularly in immunocompromised patients. The prescribing of antifungal agents to prevent and treat IFD is associated with substantial economic burden on the health system, high rates of adverse drug reactions, significant drug-drug interactions and the emergence of antifungal resistance.

Research

Does a major change to a COVID-19 vaccine program alter vaccine intention? A qualitative investigation

On 8th April 2021, the Australian Technical Advisory Group on Immunisation (ATAGI) made the Pfizer-BioNtech (Comirnaty) vaccine the “preferred” vaccine for adults in Australia aged < 50 years due to a risk of thrombosis with thrombocytopenia syndrome (TTS) following AstraZeneca vaccination. We sought to understand whether this impacted COVID-19 vaccine intentions.

Research

Caregiver Psychological Distress Predicts Temperament and Social-Emotional Outcomes in Infants with Autism Traits

Child temperament and caregiver psychological distress have been independently associated with social-emotional difficulties among individuals with autism. However, the interrelationship among these risk factors has rarely been investigated.

Research

Modelling temperature-driven changes in species associations across freshwater communities

Due to global climate change–induced shifts in species distributions, estimating changes in community composition through the use of Species Distribution Models has become a key management tool. Being able to determine how species associations change along environmental gradients is likely to be pivotal in exploring the magnitude of future changes in species’ distributions.

Research

Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria

Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.