Tracking national neonatal transport activity and metrics using the UK Neonatal Transport Group dataset 2012-2021: a narrative review.

There are no internationally agreed descriptors for categories of neonatal transports which facilitate comparisons between settings. To continually review and enhance neonatal transport care we need robust categories to develop benchmarks. This review aimed to report on the development and application of key measures across a national neonatal transport service. The UK Neonatal Transport Group (UK-NTG) developed a core dataset and benchmarks for transported infants and collected annual national data. Data were reported back to teams to allow benchmarking and improvements. From 2012 to 2021, the rate of UK neonatal transfers increased from 18 to 22/1000 live births despite a falling birth rate. Neonatal transfers on nitric oxide increased until 2016 before plateauing. The proportion of transport services able to provide high frequency oscillation and servo-controlled therapeutic hypothermia increased over the study period. High-flow nasal cannula oxygen use increased, becoming the most frequently used non-invasive respiratory support mode. For infants <27 weeks of gestational age, transfers for uplift of care in the first 3 days of life have fallen from 420 (2016) to 288 (2020/2021) and for lack of neonatal capacity from 24 (2016) to 2 (2020/2021). The rate of ventilated infants completing transfer with CO2 out of the benchmark range varied from 9% to 13% with marked variation between transport services' rates of hypocapnia (0-10%) and hypercapnia with acidosis (0-9%). The development of the UK-NTG dataset supports national tracking of activity and clinical trends allowing comparison of patient-focused benchmarks across teams.

An audit of bilious vomiting in term neonates referred for pediatric surgical assessment: can we reduce unnecessary transfers?

BACKGROUND: Between 20% and 50% neonates with bilious vomiting are diagnosed with surgical pathology. Distinguishing neonates requiring surgery remains challenging. Our aim was to conduct an audit of term neonates with bilious vomiting referred for assessment to identify characteristics of this cohort and management. Secondary aims were to identify factors predictive of surgical pathology. METHODS: Infants <28 days referred for bilious vomiting from 2011 to 2015 were identified through cross-referencing multiple patient databases. Data obtained included clinical features, laboratory, radiological investigations and management. The sensitivity and specificity of tests were calculated and regression analyses were conducted to identify predictors of surgical pathology. RESULTS: 351 eligible neonates were referred [46% female; mean gestation 39 + 6 weeks (SD 9.2 days); mean birthweight 3469 g (SD 558 g)]. Laboratory results were available for 68.7% patients, 88.9% underwent X-ray and 96.6% contrast studies. 11.7% had a surgical diagnosis [malrotation 4.6% (1.7% with volvulus)]. No single test available in peripheral centers could exclude a surgical diagnosis. In regression analyses, age > 72 h, presence of abdominal distension, raised CRP and abnormal X-ray were statistically significant predictors of surgical pathology, while only the former two were predictive of time-critical surgical pathology. CONCLUSION: 11.7% neonates had surgical pathology, fewer than in previous studies. Only contrast fluoroscopy could exclude surgical pathology and therefore prevent transfer. A more sensitive, widely available test would be required to reduce unnecessary neonatal transfers. TYPE OF STUDY: Prognosis study. LEVEL OF EVIDENCE: Level III.

Home Extubation in a Neonate.

End-of-life care for many infants involves the withdrawal of mechanical ventilation. Usually this takes place in the hospital environment, but sometimes parents request that their infant dies at home. Facilitating this has significant practical and resource implications and raises both logistical and ethical questions. In this article, we report a neonatal case involving home extubation, explaining the processes involved as well as providing an ethical context.

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.