Background: The neonatal Sequential Organ Failure Assessment (nSOFA) score is an organ dysfunction score developed for predicting mortality risk in preterm neonates with proven late-onset neonatal sepsis (LONS) and necrotising enterocolitis. However, the utility of the nSOFA score in determining the risk of retinopathy of prematurity (ROP), bronchopulmonary dysplasia (BPD) or mortality in patients with suspected LONS is unknown.
Methods: We performed a dual-centre retrospective cohort study of preterm (gestational age <32 weeks) neonates suspected of LONS, from 2016 to 2020 at two neonatal intensive care units.
One in five deaths worldwide is associated with sepsis, which is defined as organ dysfunction caused by a dysregulated host response to infection. An increased understanding of the pathophysiology of sepsis could provide improved approaches for early detection and treatment. Here we describe the development and validation of a mechanistic mathematical model of the inflammatory response, making use of a combination of in vitro and human in vivo data obtained from experiments where bacterial lipopolysaccharide (LPS) was used to induce an inflammatory response.
View Article and Find Full Text PDFBackground: Neonatal intensive care unit admissions of newborns are emotional and stressful for parents, influencing their mental and physical well-being and resulting in high rates of psychological morbidities. Significant research has been undertaken to understand and quantify the burden of a newborn's medical journey on parents' well-being. Simultaneously, an increase has been observed in the development and implementation of telemedicine interventions, defined as the remote delivery of health care.
View Article and Find Full Text PDFBackground: Preterm neonates are extensively monitored to require strict oxygen target attainment for optimal outcomes. In daily practice, detailed oxygenation data are hardly used and crucial patterns may be missed due to the snapshot presentations and subjective observations. This study aimed to develop a web-based dashboard with both detailed and summarized oxygenation data in real-time and to test its feasibility to support clinical decision making.
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