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Published on: January 29, 2018
Neonatal malnutrition, body composition, and childhood obesity in critically ill infants
Allison D Ta1,2, Ting Ting Fu1,2, Gillian R Goddard1
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Insights
Neonatal malnutrition diagnosis is linked to reduced fat-free mass in critically ill infants. This finding highlights the importance of monitoring body composition in hospitalized newborns.
Area of Science:
- Neonatalogy
- Pediatric Nutrition
- Body Composition Analysis
Background:
- Established malnutrition indicators exist for healthy infants.
- The applicability of these indicators to hospitalized neonates remains unclear.
- Assessing nutritional status in critically ill neonates is crucial.
Purpose of the Study:
- To investigate the relationship between malnutrition diagnosis in hospitalized neonates and their body composition.
- To determine if neonatal malnutrition indicators predict later body mass index (BMI) in toddlers.
Main Methods:
- Retrospective analysis of 84 term infants in a neonatal intensive care unit.
- Extracted body composition metrics (fat percent, fat mass, fat-free mass z-scores) and anthropometric data.
- Utilized linear regression to assess associations between malnutrition status, body composition, and toddler BMI.
Main Results:
- Neonatal malnutrition diagnosis showed a significant negative association with fat-free mass z-score (-0.83).
- No significant association was found between neonatal malnutrition and body fat percent or fat mass.
- Infant body composition metrics did not significantly predict toddler BMI z-score.
Conclusions:
- Neonatal malnutrition diagnosis is associated with decreased fat-free mass in critically ill infants.
- Body composition, specifically fat-free mass, is a relevant indicator in hospitalized neonates.
- Further research is needed to understand long-term implications.
Background:
There are expert-agreed upon malnutrition indicators for infants, but the meaningfulness of these indicators in hospitalized neonates is unknown.
Methods:
Eighty-four term infants hospitalized in a level IV neonatal intensive care unit had body composition measurements and other anthropometric data extracted from the medical record. Linear regression using maximum likelihood estimation was performed to evaluate the relationship of malnutrition status (assessed at time of body composition assessment) with each body composition metric (body fat percent z-score, fat mass z-score, fat-free mass z-score) and with toddler body mass index (BMI) z-score. Linear regression was also performed to evaluate the relationship between each body composition metric and toddler BMI z-score.
Results:
There was a statistically significant negative association between neonatal malnutrition diagnosis with a -0.83 change in fat-free mass z-score (95% CI -1.61 to -0.05, p = 0.04). There was no statistically significant association between body fat percent or fat mass and neonatal malnutrition diagnosis. There was no statistically significant relationship between each infant body composition metric and toddler BMI z-score in unadjusted linear regression models.
Conclusions:
Neonatal malnutrition diagnosis is associated with lower fat-free mass in critically ill infants with a variety of conditions.
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