Asynchronous video messaging promotes family involvement and mitigates separation in neonatal care.

OBJECTIVE: To evaluate the parent and staff experience of a secure video messaging service as a component of neonatal care. DESIGN: Multicentre evaluation incorporating quantitative and qualitative items. SETTING: Level II and level III UK neonatal units. POPULATION: Families of neonatal inpatients and neonatal staff. INTERVENTION: Use of a secure, cloud-based asynchronous video messaging service to send short messages from neonatal staff to families. Evaluation undertaken July-November 2019. MAIN OUTCOME MEASURES: Parental experience, including anxiety, involvement in care, relationships between parents and staff, and breastmilk expression. RESULTS: In pre-implementation surveys (n=41), families reported high levels of stress and anxiety and were receptive to use of the service. In post-implementation surveys (n=42), 88% perceived a benefit of the service on their neonatal experience. Families rated a positive impact of the service on anxiety, sleep, family involvement and relationships with staff. Qualitative responses indicated enhanced emotional closeness, increased involvement in care and a positive effect on breastmilk expression. Seventy-seven post-implementation staff surveys were also collected. Staff rated the service as easy to use, with minimal impact on workload. Seventy-one percent (n=55) felt the service had a positive impact on relationships with families. Staff identified the need to manage parental expectations in relation to the number of videos that could be sent. CONCLUSIONS: Asynchronous video messaging improves parental experience, emotional closeness to their baby and builds supportive relationships between families and staff. Asynchronous video supports models of family integrated care and can mitigate family separation, which could be particularly relevant during the COVID-19 pandemic.

nSeP: immune and metabolic biomarkers for early detection of neonatal sepsis-protocol for a prospective multicohort study.

INTRODUCTION: Diagnosing neonatal sepsis is heavily dependent on clinical phenotyping as culture-positive body fluid has poor sensitivity, and existing blood biomarkers have poor specificity.A combination of machine learning, statistical and deep pathway biology analyses led to the identification of a tripartite panel of biologically connected immune and metabolic markers that showed greater than 99% accuracy for detecting bacterial infection with 100% sensitivity. The cohort study described here is designed as a large-scale clinical validation of this previous work. METHODS AND ANALYSIS: This multicentre observational study will prospectively recruit a total of 1445 newborn infants (all gestations)-1084 with suspected early-or late-onset sepsis, and 361 controls-over 4 years. A small volume of whole blood will be collected from infants with suspected sepsis at the time of presentation. This sample will be used for integrated transcriptomic, lipidomic and targeted proteomics profiling. In addition, a subset of samples will be subjected to cellular phenotype and proteomic analyses. A second sample from the same patient will be collected at 24 hours, with an opportunistic sampling for stool culture. For control infants, only one set of blood and stool sample will be collected to coincide with clinical blood sampling. Along with detailed clinical information, blood and stool samples will be analysed and the information will be used to identify and validate the efficacy of immune-metabolic networks in the diagnosis of bacterial neonatal sepsis and to identify new host biomarkers for viral sepsis. ETHICS AND DISSEMINATION: The study has received research ethics committee approval from the Wales Research Ethics Committee 2 (reference 19/WA/0008) and operational approval from Health and Care Research Wales. Submission of study results for publication will involve making available all anonymised primary and processed data on public repository sites. TRIAL REGISTRATION NUMBER: NCT03777670.

Whole blood gene expression profiling of neonates with confirmed bacterial sepsis.

Neonatal infection remains a primary cause of infant morbidity and mortality worldwide and yet our understanding of how human neonates respond to infection remains incomplete. Changes in host gene expression in response to infection may occur in any part of the body, with the continuous interaction between blood and tissues allowing blood cells to act as biosensors for the changes. In this study we have used whole blood transcriptome profiling to systematically identify signatures and the pathway biology underlying the pathogenesis of neonatal infection. Blood samples were collected from neonates at the first clinical signs of suspected sepsis alongside age matched healthy control subjects. Here we report a detailed description of the study design, including clinical data collected, experimental methods used and data analysis workflows and which correspond with data in Gene Expression Omnibus (GEO) data sets (GSE25504). Our data set has allowed identification of a patient invariant 52-gene classifier that predicts bacterial infection with high accuracy and lays the foundation for advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.

Identification of a human neonatal immune-metabolic network associated with bacterial infection.

Understanding how human neonates respond to infection remains incomplete. Here, a system-level investigation of neonatal systemic responses to infection shows a surprisingly strong but unbalanced homeostatic immune response; developing an elevated set-point of myeloid regulatory signalling and sugar-lipid metabolism with concomitant inhibition of lymphoid responses. Innate immune-negative feedback opposes innate immune activation while suppression of T-cell co-stimulation is coincident with selective upregulation of CD85 co-inhibitory pathways. By deriving modules of co-expressed RNAs, we identify a limited set of networks associated with bacterial infection that exhibit high levels of inter-patient variability. Whereas, by integrating immune and metabolic pathways, we infer a patient-invariant 52-gene-classifier that predicts bacterial infection with high accuracy using a new independent patient population. This is further shown to have predictive value in identifying infection in suspected cases with blood culture-negative tests. Our results lay the foundation for future translation of host pathways in advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.

Stridor in asphyxiated neonates undergoing therapeutic hypothermia.

Therapeutic hypothermia is an established standard of care in the treatment of hypoxic-ischemic encephalopathy. Application of therapeutic hypothermia in the clinical setting may reveal a wider spectrum of adverse events than previously reported. We report 5 cases of transient respiratory stridor in 51 infants, occurring at different time points in the cooling process, which appeared to be unrelated to the intubation procedure. Therapeutic hypothermia was associated with transient stridor in this case series. Formal laryngoscopy is required to determine the underlying pathologic etiology.

The twists and turns of neonatal oxygen therapy.

Although supplemental oxygen is one of the commonest treatments in neonatal medicine, the evidence base for deciding which newborns need it, and what is the appropriate dose remains weak. Clinical research in this area is difficult because it requires clinicians to depart from established practice and, in the case of oxygen therapy, the stakes seem far higher to them than for other investigational treatments. Consequently, beyond the knowledge that extreme hyperoxia and hypoxia are harmful, the middle ground remains uncertain for both preterm and term infants.