Positioning according to the SOP shows benefit in relation to the behavioral and physiological status of PREEMIE.

Objetivo: Mensurar a carga de trabalho da equipe de enfermagem de uma Unidade de Terapia Intensiva Neonatal (UTIN) e dimensionar o quadro de pessoal necessário para o suprimento desta demanda. Metodologia: Estudo transversal, documental e quantitativo. Foram coletadas variáveis de caracterização clínica e demográfica da amostra (n=105) de recém-nascidos e da carga de trabalho da enfermagem por meio do Nursing Activities Score (NAS). O dimensionamento foi calculado com base em equação para terapia intensiva e ajustado à Resolução nº 543/2017 do Conselho Federal de Enfermagem. Resultados: A média do NAS da UTIN foi de 749,9. Obteve-se quadro dimensionado de 43 profissionais, com déficit de 17 enfermeiros em comparação ao quadro disponível. Conclusão: O quadro de enfermeiros da UTIN é insuficiente.Descritores: Carga de trabalho; Dimensionamento; Equipe de enfermagem; Unidades de terapia intensiva neonatal.WORKLOAD AND SIZING OF THERAPY IN NURSING STAFF INTENSIVE NEWBORNObjective: To measure the workload of the nursing team of a Neonatal Intensive Care Unit (NICU) and to size the personnel needed to supply this demand. Method: Cross-sectional, documentary and quantitative study. Clinical and demographic characterization variables of the sample (n = 105) of newborns and the nursing workload were collected through the Nursing Activities Score (NAS). The design was calculated based on a formula for intensive therapy and adjusted to Resolution 543/2017 of the Federal Nursing Council. Results: The mean of the NICU NAS was 749.9. It was obtained a dimensioned picture of 43 professionals, with a deficit of 17 nurses in comparison to the available picture. Conclusion: Nurses from the NICU are insufficient.Descriptors: Workload; Sizing; Nursing team; Neonatal intensive care units.CARGA DE TRABAJO Y DIMENSIONAMIENTO DE PERSONAL DE ENFERMERÍA EN TERAPIA INTENSIVA NEONATALObjetivo: Medir la carga de trabajo del equipo de enfermería de una Unidad de Terapia Intensiva Neonatal (UTIN) y dimensionar el cuadro de personal necesario para el aprovisionamiento de esta demanda. Metodologia: Estudio transversal, documental y cuantitativo. Se recogieron variables de caracterización clínica y demográfica de la muestra (n = 105) de recién nacidos y de la carga de trabajo de la enfermería por medio del Nursing Activities Score (NAS). El dimensionamiento fue calculado con base en fórmula para terapia intensiva y ajustado a la Resolución 543/2017 del Consejo Federal de Enfermería. Resultados: El promedio del NAS de la UTIN fue de 749,9. Se obtuvo un cuadro dimensionado de 43 profesionales, con déficit de 17 enfermeros en comparación al cuadro disponible. Conclusión: El cuadro de enfermeros de la UTIN es insuficiente.Descriptores: Carga de trabajo; Dimensionamiento; Equipo de enfermería; Unidades de terapia intensiva neonatal.

Growth and biochemical markers of preterm newborns up to six months of corrected age AbstractIntroduction: Due to advances in recent decades in maternalfoetal and neonatal medicine, a greater survival of preterm infants with progressively smaller birth weight and gestational age is observed, increasing the risk of future morbidities on those infants. Among these morbidities, alterations in growth and metabolism are found.Objective: To analyze the evolution of the growth and the metabolic profile of preterm infants' cohort from birth at six months of corrected age (CA). Methods:A descriptive and prospective study with a sample of 107 mothers and 115 preterm infants at birth and 72 preterm infants and 68 mothers at the end of followup. Growth (body weight, height, cephalic perimeter) was evaluated at six time points. Plasma concentrations of cholesterol, triglycerides, glucose and insulin of premature infants were assessed during three periods, from birth to 6 months of CA. Comparative analysis of the initial sample and the sample that finished the follow-up was used in chi-square family tests. To Evaluate the growth over the 6-month period by using repeated measurements.Results: Sociodemographic variables and maternal biochemical profile without statistical differences in the comparison of the mothers of the initial sample with those who completed the follow-up. Linear growth of preterm infants at six months of CA, however without recovery of growth. Plasma concentrations of triglycerides (birth = 48.1, 6 months = 151.1) and cholesterol (birth = 82.7, 6 months = 139.9) increased during the evaluations. Glycaemia remained stable (birth 80.4, 6 months = 83.3) and insulin decreased from 11.0 to 4.2. Conclusion:Growth of preterm infants, although linear, was lower than expected for age. Lipid profiles presented an ascending curve from birth onward. Therefore, this group is prone to delayed growth and to developing cardiovascular changes throughout life.Keywords: premature infant, growth, lipids, blood glicose, insulin. Corresponding author:clausviera@gmail.com Suggested citation: Barreto GMS, Balbo SL, Rover MS, Toso BRGO, Oliveira HR, Vieira CS. Growth and biochemical markers of preterm newborns up to six months of corrected age.

Objective: Prematurity and low birth weight predispose preterm infants to cardiovascular disease in later life. Is the metabolic profile of these children impacted by the relation between birth weight and gestational age (GA)? This study aimed to evaluate whether the relationship between birth weight and GA of preterm infants has a positive correlation with the metabolic profile from birth to the sixth month of corrected age. Subjects and methods: This is a longitudinal, prospective study with a cohort of 70 preterm and 54 term infants, who were enrolled in the study and shared into two groups: Appropriate for GA (AGA) and Small for GA (SGA), both classified at birth by Fenton and Kim curves. Longitudinal evaluation of anthropometry measures and blood samples of total cholesterol, glucose, triglycerides, and insulin were collected at birth, NICU discharge, and the sixth month of corrected age. Data were analyzed using descriptive and inferential statistical analysis (ANOVA, Fisher test, Shapiro-Wilk, and Cochran test). The effect size was 0.15, power was 0.92, and confidence interval 95%. Results: No significant statistical differences were observed in relation to biochemical tests between AGA and SGA groups. However, a significant increase in triglyceride results above the reference values for age in the SGA group was observed throughout the follow-up. Conclusions: Changes observed in the preterm infant metabolic profile show no correlation with adequacy of birth weight. Preterm lipid profile requires continuous evaluation at follow-up, due to the increased cardiovascular risk in later life.

The present study characterized the plasma glycemic and lipid profiles in full-term newborn babies at birth and correlated these variables with growth markers and maternal clinical and metabolic conditions, to observe if maternal pregnancy conditions can influence metabolic programming in these newborn babies. Anthropometric and biochemical data were collected from 162 mother/newborn binomials at birth and at 6 months at a public hospital in Western Paraná State, Brazil. Samples of blood tests for glucose, insulin, total cholesterol, and triglycerides were obtained. Two classes of mothers/babies were statistically defined. The glycemic profiles in Class 1, at birth, were 63.0 ± 19.6 mg/dL and at 6 months 80.4 ± 10.6 mg/dL; in Class 2, at birth, they were 66.1 ± 20.8 mg/dL and at 6 months 78.2 ± 9.4 mg/dL. The triglycerides levels in Class 1 and Class 2, at birth, were 124.5 ± 47.8 mg/dL and 132.6 ± 60.2 mg/dL, respectively, and at 6 months they were 139.0 ± 51.5 mg/dL and 115.2 ± 39.9 mg/dL, respectively. Even though most of the pregnant women were overweight at the end of the gestation period, the anthropometric patterns found for babies followed the desirable standards. Furthermore, the average glycemic profile values were between the cutoff standards at birth and at 6 months; however, the triglycerides were above the expected values.