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Gut microbiota play a critical role in long-term health by supporting metabolism, immune function, inflammation regulation, and neurological development via the gut–brain axis. Beneficial bacteria enhance gut integrity through short-chain fatty acid production, pathogen inhibition, and mucosal barrier support.
Delayed cord clamping (DCC) is an evidence-based intervention that reduces mortality, anaemia and disability in infants born <37 weeks' gestation who do not require immediate resuscitation. However, it is neither reliably recorded nor routinely implemented in Australia. The Wait a Minute or More study aims to reduce this gap between the evidence and practice by integrating timely sharing of cord clamping data with Evidence-based Practice for Improving Quality methods to increase the proportion of preterm infants receiving DCC for 60s or longer (DCC60).
Tobias Jenny Strunk Mountain MD, PhD, FRACP MBA MClinEpi Head, Neonatal Health Program Manager, Neonatal Health / Protect Trial tobias.strunk@
Tobias Jenny Strunk Mountain Other Investigators MD, PhD, FRACP MBA MClinEpi Head, Neonatal Health Program Manager, Neonatal Health / Protect Trial
The Kids Research Institute Australia researchers will lead a new national clinical trial (COSI-2) to determine whether topical coconut oil can reduce late onset sepsis in extremely preterm infants.
Head, Neonatal Health
With advances in perinatal care, we have achieved major reductions in mortality in premature and critically ill infants, but they still remain at increased risk of neurodevelopmental disability. In this context, recent advances in neuroimaging are perceived as an addition of significant value to current clinical developmental screening programs.
We compared mortality and morbidity of inborn versus outborn very preterm infants <32 weeks' gestation in Western Australia (WA) between 2005 and 2018
Machine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.
Citation: Davis JW, Stewart M. Data collection in neonatal retrieval medicine: a platform for research and improvement. Arch Dis Child Fetal Neonatal