Optimizing parenteral nutrition to achieve an adequate weight gain according to the current guidelines in preterm infants with birth weight less than 1500 g: a prospective observational study

A Retrospective Study Evaluating Guideline Adherence of Neonatal Parenteral Nutrition in a Belgian Neonatal Intensive Care Unit

Introduction Clinical nutrition for preterm and critically ill neonates remains a challenge. Preterms are often hemodynamically and metabolically compromised, which limits infusion volumes of nutrients and hinders achieving recommended nutrient intakes. While guidelines provide recommended ranges for parenteral nutrition (PN) intakes, they generally recommend enteral nutrition as soon as possible. Thus, in clinical practice, gradually increasing EN intakes complicates assessments of PN guideline adherence. Via a pragmatic approach, we assessed adherence to PN recommendations for macronutrients and energy as stated in the 2018 guidelines of the European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN). Methods In this retrospective study, we assessed the nutrition of preterm and critically ill term neonates from the neonatal intensive care unit of the University Hospital Brussels. We analyzed intakes for the first week of life, in which critically ill neonates at our center usually receive the majority of nutrients via PN. The PN-based provision of macronutrients and energy was analyzed descriptively in relation to the ESPGHAN 2018 recommendations. Results Macronutrients and energy provision gradually increased until they reached recommended or targeted values. Compared to term neonates, energy and lipid provision for preterms increased faster, while amino acid provision exceeded the ESPGHAN 2018 recommendations. Conclusions This study adds clinical practice data to the severely understudied field of the ESPGHAN 2018 PN guideline compliance. Using a pragmatic assessment of our nutrition protocols, we found the need to reduce the amount of amino acids per kg body weight per day to meet guideline recommendations.

Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants Using a Machine Learning Model

Accurate prediction of postnatal growth failure (PGF) can be beneficial for early intervention and prevention. We aimed to develop a machine learning model to predict PGF at discharge among very low birth weight (VLBW) infants using extreme gradient boosting. A total of 729 VLBW infants, born between 2013 and 2017 in four hospitals, were included. PGF was defined as a decrease in z-score between birth and discharge that was greater than 1.28. Feature selection and addition were performed to improve the accuracy of prediction at four different time points, including 0, 7, 14, and 28 days after birth. A total of 12 features with high contribution at all time points by feature importance were decided upon, and good performance was shown as an area under the receiver operating characteristic curve (AUROC) of 0.78 at 7 days. After adding weight change to the 12 features-which included sex, gestational age, birth weight, small for gestational age, maternal hypertension, respiratory distress syndrome, duration of invasive ventilation, duration of non-invasive ventilation, patent ductus arteriosus, sepsis, use of parenteral nutrition, and reach at full enteral nutrition-the AUROC at 7 days after birth was shown as 0.84. Our prediction model for PGF performed well at early detection. Its potential clinical application as a supplemental tool could be helpful for reducing PGF and improving child health.

Effects of Intrauterine Growth Restriction (IUGR) on Growth and Body Composition Compared to Constitutionally Small Infants

(1) Intrauterine growth restriction (IUGR) is associated with multiple morbidities including growth restriction and impaired neurodevelopment. Small for gestational age (SGA) is defined as a birth weight <10th percentile, regardless of the etiology. The term is commonly used as a proxy for IUGR, but it may represent a healthy constitutionally small infant. Differentiating between IUGR and constitutionally small infants is essential for the nutritional management. (2) Infants born at <37 weeks of gestation between 2017 and 2022, who underwent body composition measurement (FFM: fat-free mass; FM: fat mass) at term-equivalent age, were included in this study. Infants with IUGR and constitutionally small infants (SGA) were compared to infants appropriate for gestational age (AGA). (3) A total of 300 infants (AGA: n = 249; IUGR: n = 40; SGA: n = 11) were analyzed. FFM (p < 0.001) and weight growth velocity (p = 0.022) were significantly lower in IUGR compared to AGA infants, but equal in SGA and AGA infants. FM was not significantly different between all groups. (4) The FFM Z-score was significantly lower in IUGR compared to AGA infants (p = 0.017). Being born constitutionally small compared to AGA had no impact on growth and body composition. These data showed that early aggressive nutritional management is essential in IUGR infants to avoid impaired growth and loss of FFM.

Combined Nutrition in Very-Low-Birth-Weight Preterm Infants in the Neonatal Intensive Care Unit

Background Adequate nutritional support is crucial for achieving optimal growth and development in very-low-birth-weight (VLBW) preterm infants. This study evaluated the efficacy of combined nutrition (CN) (parenteral plus enteral nutrition (EN)) as an alternative nutrition protocol for VLBW infants in the neonatal intensive care unit (NICU). Methods This retrospective cohort study collected clinical and growth data from the medical records of VLBW infants weighing between 1,000 and 1,500 grams in the NICU of the Hospital of Obstetrics and Gynecology "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" of the Centro Médico Nacional "La Raza" Instituto Mexicano del Seguro Social, Mexico. Parenteral nutrition (PN) alone or CN (PN plus EN) was used for nutritional management. Statistical tests, such as Student's t-test, Mann-Whitney U test, and chi-square test as appropriate, were used to compare the clinical characteristics and growth data of the two groups, and relative risk was calculated to determine the probability of comorbidities according to feeding type. Statistical significance was set at p<0.05. Results The study included 90 VLBW infants, with 27 receiving PN alone and 63 receiving CN. No statistically significant differences were found concerning sex, age, or Apgar score. The CN group showed better weight gain with statistically significant differences at 28 days (p=0.002), with no increase in the relative risk of necrotizing enterocolitis (NEC) or other complications. Conclusions The CN protocol met the caloric and nutritional needs, without increasing morbidity and mortality. The protocol had a positive impact on weight gain and a shorter NICU stay and should be considered as a nutritional alternative for VLBW infants.

The Impacts of Single Preterm Human Donor Milk Compared to Mother's Own Milk on Growth and Body Composition

(1) If mother´s own milk (MOM) is not available, pooled term human donor milk (HDM) is commonly used. Compared to MOM, term HDM contains less protein and fat and is associated with impaired growth. HDM from mothers of preterm infants is an alternative source and contains higher protein levels compared to term HDM, but the impacts on growth and body composition are unclear. (2) Methods: Infants born below 32 weeks of gestation and below 1500 g between 2017-2022, who underwent air displacement plethysmography (Pea Pod^®) to determine body composition (FFM: fat-free mass; FM: fat mass) at term-equivalent age, were included. A comparison between infants fed with MOM > 50% (MOM-group) and single preterm HDM > 50% (HDM-group) was conducted. (3) Results: In total, 351 infants (MOM-group: n = 206; HDM-group: n = 145) were included for the analysis. The median FFM-Z-score (MOM-group: -1.09; IQR: -2.02, 1.11; HDM-group: -1.13; IQR: -2.03, 1.12; p = 0.96), FM-Z-score (MOM-group: 1.06; IQR: -0.08, 2.22; HDM-group: 1.19; IQR: -0.14, 2.20; p = 0.09), and median growth velocity (MOM-group: 23.1 g/kg/d; IQR: 20.7, 26.0; HDM: 22.5 g/kg/d; IQR: 19.7, 25.8; p = 0.15) values were not significantly different between the groups. (4) Conclusion: Single preterm HDM is a good alternative to support normal growth and body composition.

New insights in pediatrics in 2021: choices in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, haematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine

In this review, we report the developments across pediatric subspecialties that have been published in the Italian Journal of Pediatrics in 2021. We highlight advances in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, hematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine.

Association between Fat-Free Mass and Brain Size in Extremely Preterm Infants

Postnatal growth restriction and deficits in fat-free mass are associated with impaired neurodevelopment. The optimal body composition to support normal brain growth and development remains unclear. This study investigated the association between body composition and brain size in preterm infants. We included 118 infants born <28 weeks of gestation between 2017–2021, who underwent body composition (fat-free mass (FFM) and fat mass (FM)) and cerebral magnetic resonance imaging to quantify brain size (cerebral biparietal diameter (cBPD), bone biparietal diameter (bBPD), interhemispheric distance (IHD), transverse cerebellar diameter (tCD)) at term-equivalent age. FFM Z-Score significantly correlated with higher cBPD Z-Score (rs = 0.69; p < 0.001), bBPD Z-Score (rs = 0.48; p < 0.001) and tCD Z-Score (rs = 0.30; p = 0.002); FM Z-Score significantly correlated with lower brain size (cBPD Z-Score (rs = −0.32; p < 0.001) and bBPD Z-Score (rs = −0.42; p < 0.001). In contrast weight (rs = 0.08), length (rs = −0.01) and head circumference Z-Score (rs = 0.14) did not. Linear regression model adjusted for important neonatal variables revealed that FFM Z-Score was independently and significantly associated with higher cBPD Z-Score (median 0.50, 95% CI: 0.59, 0.43; p < 0.001) and bBPD Z-Score (median 0.31, 95% CI: 0.42, 0.19; p < 0.001); FM Z-Score was independently and significantly associated with lower cBPD Z-Score (median −0.27, 95% CI: −0.42, −0.11; p < 0.001) and bBPD Z-Score (median −0.32, 95% CI: −0.45, −0.18; p < 0.001). Higher FFM Z-Score and lower FM Z-scores were significantly associated with larger brain size at term-equivalent age. These results indicate that early body composition might be a useful tool to evaluate and eventually optimize brain growth and neurodevelopment.