ABSTRACT
Infants born before 32 weeks' postmenstrual age are at a high risk of growth failure. International guidelines have long recommended that they match the growth of an equivalent fetus, despite the challenges posed by ex utero life and comorbidities of prematurity. Several groups have recently questioned the necessity or desirability of this target, shifting attention to aiming for growth which optimises important long-term outcomes. Specifically, recent research has identified the neurodevelopmental benefits of enhanced growth during the neonatal period, but work in term infant suggests that rapid growth may promote the metabolic syndrome in later life. In this context, defining a pattern of growth which optimises outcomes is complex, controversial and contested. Even if an optimal pattern of growth can be defined, determining the nutritional requirements to achieve such growth is not straightforward, and investigations into the nutritional needs of the very preterm infant continue. Furthermore, each infant has individual nutritional needs and may encounter a number of barriers to achieving good nutrition. This article offers a narrative review of recent evidence for the competing definitions of optimal growth in this cohort. It examines recent advances in the determination of macronutrient and micronutrient intake targets along with common barriers to achieving good nutrition and growth. Finally, key implications for clinical practice are set out and a recommendation for structured multidisciplinary management of nutrition and growth is illustrated.
Subject(s)
Infant, Premature, Diseases , Infant, Premature , Infant , Female , Infant, Newborn , Humans , Infant, Very Low Birth Weight , Nutritional Requirements , Fetal Growth Retardation , Infant Nutritional Physiological PhenomenaABSTRACT
AIM: To achieve the National Neonatal Audit Programme (NNAP) standard of 90% normothermia among preterm infants born under 30 weeks of gestation. METHODS: Project SHIP (Stopping Hypothermia In Premmies) was a quality improvement programme to improve admission normothermia. Phase 1 of the project implemented low-fidelity simulations during 2011-2016. In Phase 2 (2017), a multimodal approach to quality improvement was used, including in situ simulations, videos of simulated scenarios, an allocated team member for thermal care, a clear protocol for thermal care, a coordinating 'lollipop man' role and monthly performance feedback. Additionally, continuous temperature monitoring using servo-control during stabilisation was introduced during Phase 2. Phase 3 (2018-2019) focused on embedding practice and maintaining performance. RESULTS: Phase 1 initiatives resulted in improvement of normothermia rates from 58% to 75%. However, the results plateaued. During Phase 2, the hypothermia rate fell from 16% to 3%. During Phase 3, this improvement in the hypothermia rate was sustained, achieving the standard of 90% normothermia in 2018 and falling just short in 2019 due to an increased hyperthermia rate. CONCLUSION: A multimodal quality improvement approach achieved sustained improvement in normothermia. Continuous temperature monitoring during stabilisation allows resuscitating teams to plan interventions to treat hypothermia and hyperthermia.