Impact of a targeted volume-increase nutrition guideline on growth and body mass index in premature infants: A retrospective review

Association between Weight for Length and the Severity of Respiratory Morbidity in Preterm Infants

Association Between Weight for Length and the Severity of Respiratory Morbidity in Preterm Infants.

OBJECTIVE

To determine whether higher weight-to-length z-scores after 32 weeks of gestation are associated with higher pulmonary scores (PSs) in preterm infants requiring respiratory support using a prospective observational study.

METHODS

Infants born at <30 weeks, with a post-menstrual age (PMA) of 30-33 weeks, were enrolled. The infant's weight, length, and head circumference were measured weekly. Data on calories/kg/d, protein g/kg/d, weight-for-length percentiles, z-scores, and BMI at 33 through 40 weeks PMA were collected. The PS was calculated.

RESULTS

We analyzed 91 infants. The mean gestational age was 26.9 ± 1.7 weeks. The mean birthweight was 0.898 ± 0.238 kgs. They were predominantly African American (81.3%) and girls (56%). Postnatal steroids were administered in 26.4% of the infants. The mean duration of invasive ventilation was 19.23 days ± 28.30 days. There was a significant association between the PS and W/L z-score (p < 0.0001). For every one-unit increase in W/L z-score, the PS increased by 0.063. There was a significant association between the PS and W/L percentile (p = 0.0017), as well as BMI (p ≤ 0.0001). For every unit increase in W/L percentile, the PS increased by 0.002, and for a unit increase in BMI, the PS increased by 0.04. The association remained significant after postnatal steroid use, sex, and corrected and birth gestational ages were included in the regression analysis. Nutrition did not affect the anthropometric measurements.

CONCLUSIONS

Our study is the first to demonstrate that a higher BMI and W/L may adversely affect the respiratory severity in preterm infants. Studies with larger sample sizes are needed to confirm our findings.

Neonatal morbidities and postnatal growth failure in very low birth weight, very preterm infants

AIM

To assess postnatal growth in infants with and without major neonatal morbidities.

METHODS

This study is based on analysis of data collected by the Israel Neonatal Network on VLBW infants (≤1500 g) born in Israel from 2009 to 2018. Postnatal growth was assessed in two 5 years epochs: 2009-2013 (n = 4583) and 2014-2018 (n = 4558). Outcome was considered as severe, mild and no postnatal growth failure (PNGF). Morbidities included respiratory distress syndrome, bronchopulmonary dysplasia, necrotising enterocolitis, patent ductus arteriosus and grades 3-4 intraventricular haemorrhage. Multinomial logistic regression analyses with the generalised estimating equation approach were applied.

RESULTS

The study population composed 9141 infants. Of them, 2089 had at least one major morbidity and 7052 infants had none. In infants with no morbidities, 2.1% had severe PNGF, 23.7% mild PNGF and 74.2% had no PNGF, as compared to 13.6%, 43.9% and 42.5%, respectively, in infants with any major neonatal morbidity (p < 0.0001).

CONCLUSION

Despite enormous advances in neonatal care, postnatal growth remains a challenge in VLBW infants, particularly in infants with major neonatal morbidities. Along with efforts to decrease morbidity, a more personalised plan and follow-up may be required in infants with major morbidities, given their high risk for diminished growth and potentially, adverse neurodevelopmental outcomes.

Comparative Analysis Reveals Novel Changes in Plasma Metabolites and Metabolomic Networks of Infants With Retinopathy of Prematurity

Purpose

Advances in mass spectrometry have provided new insights into the role of metabolomics in the etiology of several diseases. Studies on retinopathy of prematurity (ROP), for example, overlooked the role of metabolic alterations in disease development. We employed comprehensive metabolic profiling and gold-standard metabolic analysis to explore major metabolites and metabolic pathways, which were significantly affected in early stages of pathogenesis toward ROP.

Methods

This was a multicenter, retrospective, matched-pair, case-control study. We collected plasma from 57 ROP cases and 57 strictly matched non-ROP controls. Non-targeted ultra-high-performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) was used to detect the metabolites. Machine learning was employed to reveal the most affected metabolites and pathways in ROP development.

Results

Compared with non-ROP controls, we found a significant metabolic perturbation in the plasma of ROP cases, which featured an increase in the levels of lipids, nucleotides, and carbohydrate metabolites and lower levels of peptides. Machine leaning enabled us to distinguish a cluster of metabolic pathways (glycometabolism, redox homeostasis, lipid metabolism, and arginine pathway) were strongly correlated with the development of ROP. Moreover, the severity of ROP was associated with the levels of creatinine and ribitol; also, overactivity of aerobic glycolysis and lipid metabolism was noted in the metabolic profile of ROP.

Conclusions

The results suggest a strong correlation between metabolic profiling and retinal neovascularization in ROP pathogenesis. These findings provide an insight into the identification of novel metabolic biomarkers for the diagnosis and prevention of ROP, but the clinical significance requires further validation.