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Tobias Strunk MD, PhD, FRACP Head, Neonatal Health tobias.strunk@thekids.org.au Head, Neonatal Health Clinical Professor Tobias Strunk is a
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.
Postnatal intensive care for preterm infants born at 22 to 23 weeks' gestation is increasing, although survival rates remain low. Information on outcomes for multiple countries or regions can be important for research, benchmarking, quality improvement, and parental counseling.
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.
Citation: Davis JW, Stewart M. Data collection in neonatal retrieval medicine: a platform for research and improvement. Arch Dis Child Fetal Neonatal
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.
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.
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.
Tobias Strunk MD, PhD, FRACP Head, Neonatal Health tobias.strunk@thekids.org.au Head, Neonatal Health Clinical Professor Tobias Strunk is a
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.