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Applying Methods for Postnatal Growth Assessment in the Clinical Setting: Evaluation in a Longitudinal Cohort of Very
Montserrat Izquierdo Renau1, Victoria Aldecoa-Bilbao2, Carla Balcells Esponera1
1Neonatology Department, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Universidad de Barcelona, BCNatal, Esplugues de Llobregat, 08950 Barcelona, Spain.
Insights
Assessing postnatal growth in very premature infants (VPI) using z-scores is effective for identifying growth faltering. Minimizing initial weight loss and ensuring adequate nutrition can reduce postnatal growth failure in at-risk VPI.
Area of Science:
- Neonatalogy
- Pediatric Growth and Development
- Clinical Nutrition
Background:
- Very premature infants (VPI) face significant challenges in achieving optimal postnatal growth.
- Extrauterine growth restriction (EUGR) and postnatal growth failure (PGF) are common complications in VPI.
- Early identification of growth faltering is crucial for timely intervention.
Purpose of the Study:
- To evaluate different methods for assessing postnatal growth in VPI.
- To identify early indicators of growth failure in a clinical setting.
- To explore associations between clinical/nutritional factors and growth outcomes in VPI.
Main Methods:
- A cohort of 197 VPI (≤32 weeks gestation) was studied during their hospital stay.
- Growth velocity (GV), EUGR, and PGF were calculated at 36 weeks postmenstrual age (PMA).
- Linear and logistic regression analyses explored relationships between growth and clinical/nutritional variables.
Main Results:
- At 36 weeks PMA, 66.0% of VPI experienced EUGR, and 67.4% had PGF.
- PGF prevalence was higher in non-IUGR VPI (70.5%) compared to IUGR VPI (48.1%).
- Initial weight loss, oxygen requirement, and reduced early parenteral lipid intake were associated with PGF.
Conclusions:
- Z-score analysis is a superior method for detecting postnatal growth faltering in VPI.
- Minimizing initial weight loss and optimizing nutrition can mitigate PGF in at-risk infants.
Aim:
To analyze different methods to assess postnatal growth in a cohort of very premature infants (VPI) in a clinical setting and identify potential early markers of growth failure.
Methods:
Study of growth determinants in VPI (≤32 weeks) during hospital stay. Nutritional intakes and clinical evolution were recorded. Growth velocity (GV: g/kg/day), extrauterine growth restriction (%) (EUGR: weight < 10th centile, z-score < -1.28) and postnatal growth failure (PGF: fall in z-score > 1.34) at 36 weeks postmenstrual age (PMA) were calculated. Associations between growth and clinical or nutritional variables were explored (linear and logistic regression).
Results:
Sample: 197 VPI. GV in IUGR patients was higher than in non-IUGRs (28 days of life and discharge). At 36 weeks PMA 66.0% of VPIs, including all but one of the IUGR patients, were EUGR. Prevalence of PGF at the same time was 67.4% (IUGR patients: 48.1%; non-IUGRs: 70.5% (p = 0.022)). Variables related to PGF at 36 weeks PMA were initial weight loss (%), need for oxygen and lower parenteral lipids in the first week.
Conclusions:
The analysis of z-scores was better suited to identify postnatal growth faltering. PGF could be reduced by minimising initial weight loss and assuring adequate nutrition in patients at risk.
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