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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
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
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.
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
Delayed diagnosis of patients with sepsis or septic shock is associated with increased mortality and morbidity. UPLC-MS and NMR spectroscopy were used to measure panels of lipoproteins, lipids, biogenic amines, amino acids, and tryptophan pathway metabolites in blood plasma samples collected from 152 patients within 48 h of admission into the Intensive Care Unit (ICU) where 62 patients had no sepsis, 71 patients had sepsis, and 19 patients had septic shock.
To investigate the physicochemical compatibility of caffeine citrate and caffeine base injections with 43 secondary intravenous drugs used in Neonatal Intensive Care Unit settings.
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.