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Palivizumab appeared effective for reducing virologically confirmed respiratory syncytial virus in this high-risk cohort
Head, Neonatal Health
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.
Developmental thymic waves of innate-like and adaptive-like γδ T cells have been described, but the current understanding of γδ T cell development is mainly limited to mouse models.
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.
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.
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
Size at birth is a key indicator of in utero growth. Our objective was to generate sex-specific percentiles for birth weight and head circumference in neonates born between 22 and 29 weeks gestation from pregnancies without hypertension or diabetes and assess differences between vaginal and caesarean births and between singletons and twins.
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.