Body composition measurement for the preterm neonate: using a clinical utility framework to translate research tools into clinical care

Bell, Katherine; Ramel, Sara E.; Robinson, Daniel T.; Wagner, Carol L.; Scottoline, Brian; Belfort, Mandy B.

doi:10.1038/s41372-022-01529-9

Cited by 4 publications

(4 citation statements)

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“…There is growing evidence that the quality of weight gain in neonatal units carries long‐term implications for the growth and neurodevelopmental outcomes of preterm infants 19 . However, incorporating routine analysis of infant growth and body composition has been limited primarily due to the lack of widely applicable, noninvasive, and cost‐effective methods to assess body composition 2 . Furthermore, guidelines for further exploration of noninvasive methods at a global scale have not been developed 17 …”

Section: Discussionmentioning

confidence: 99%

“…19 However, incorporating routine analysis of infant growth and body composition has been limited primarily due to the lack of widely applicable, noninvasive, and cost-effective methods to assess body composition. 2 Furthermore, guidelines for further exploration of noninvasive methods at a global scale have not been developed. 17 We identified demographic, anthropometric, and clinical variables significantly associated with %BF in preterm infants.…”

Section: Discussionmentioning

confidence: 99%

“…There is increasing evidence that the quality of growth achieved by preterm infants at 36 weeks of postmenstrual age (PMA)—most notably body fat percentage (%BF) and fat‐free mass (FFM) gains—can have long‐term implications for cardiometabolic and neurodevelopmental health outcomes, respectively 1 . This underscores the importance of accurately assessing body composition at 36 weeks of PMA or discharge in hospitalized preterm infants 2 …”

Section: Introductionmentioning

confidence: 99%

“…1 This underscores the importance of accurately assessing body composition at 36 weeks of PMA or discharge in hospitalized preterm infants. 2 However, assessing body composition can be costly and technically challenging. Although air displacement plethysmography (ADP) is considered the criterion standard for assessing %BF in preterm infants, it requires expensive and technically burdensome equipment.…”

Section: Introductionmentioning

confidence: 99%

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Predicting body fat percentage at 36 weeks of postmenstrual age in infants born preterm: A diagnostic accuracy study

Razzaghy,

Zhang,

et al. 2023

J Parenter Enteral Nutr

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Abstract:BackgroundCurrent standards for assessing body composition can be costly and technically challenging. There is a need for a predictive equation that combines multiple clinical and anthropometric factors to predict body composition outcomes at 36 weeks of postmenstrual age (PMA) or discharge.MethodsTo develop a widely applicable equation that predicts body fat percentage in preterm infants, we analyzed anthropometric data collected prospectively from a cohort of infants born very preterm between 2017 and 2018. We integrated clinical variables significantly associated with adiposity into a predictive equation using Bayesian linear regression models and leave‐one‐out cross‐validation.ResultsWe analyzed data from 86 infants born at 32 weeks of gestation or less (median gestational age: 30 weeks, mean birthweight: 1471 ± 270g). Weight gain and increase in length per week from birth to 36 weeks PMA, mid‐arm circumference at 36 weeks PMA, male sex, and higher enteral fluid intake (>180 ml/kg/day) were the strongest predictors of body fat percentage in the model with the highest predictive value (R2=0.65). The correlation between actual and predicted body fat percentage using this Bayesian model was high (r=0.82).ConclusionsWeight gain and increase in length per week from birth to 36 weeks PMA, mid‐arm circumference at 36 weeks PMA, male sex, and enteral fluid intake are significant predictors of body fat percentage at 36 weeks PMA in very preterm infants.This article is protected by copyright. All rights reserved.

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Section: Discussionmentioning

confidence: 99%