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There is a recognized unmet need for clinical trials to provide evidence-informed care for infants, children and adolescents. This Special Communication outlines the capacity of 3 distinct trial design strategies, sequential, parallel, and a unified adult-pediatric bayesian adaptive design, to incorporate children into clinical trials and transform this current state of evidence inequity. A unified adult-pediatric whole-of-life clinical trial is demonstrated through the Staphylococcus aureus Network Adaptive Platform (SNAP) trial.
Tobias Strunk MD, PhD, FRACP Head, Neonatal Health tobias.strunk@thekids.org.au Head, Neonatal Health Clinical Professor Tobias Strunk is a
Tobias Strunk MD, PhD, FRACP Head, Neonatal Health tobias.strunk@thekids.org.au Head, Neonatal Health Clinical Professor Tobias Strunk is a
Compromised neonatal intensive care unit neonates are at risk of acquiring late-onset infections (late-onset sepsis [LOS]). Neonates born with congenital anomalies could have an additional LOS risk.
This study aimed to assess whether undertaking retrieval was associated with fatigue independent of sleep and circadian disruption. It also aimed to assess the feasibility of routinely measuring the psychomotor vigilance test on neonatal transport. Fatigue is associated with impaired clinician performance and safety.
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.
Preterm birth and subsequent neonatal ventilatory treatment disrupts development of the hypoxic ventilatory response (HVR). An attenuated HVR has been identified in preterm neonates, however it is unknown whether the attenuation persists into the second year of life.
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.
Normal in utero lung development and growth rely upon the expansion of airspaces and the controlled efflux of lung liquid into the amniotic space. Infants with congenital diaphragmatic hernia (CDH) also have lung hypoplasia due to occupation of the chest cavity by the stomach and bowel and, in the most severe cases, the liver. Balloon tracheal occlusion reduces the severity of lung hypoplasia in fetuses with CDH but increases the risk of premature birth.