4.2 Article

Individualized Postnatal Growth Trajectories for Preterm Infants

期刊

JOURNAL OF PARENTERAL AND ENTERAL NUTRITION
卷 42, 期 6, 页码 1084-1092

出版社

WILEY
DOI: 10.1002/jpen.1138

关键词

calculator; growth; growth standard; nutrition; nutrition assessment; nutrition support practice; postnatal; preterm infant; trajectory; weight loss

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BackgroundGrowth of preterm infants is monitored using fetal charts despite individual trajectories being downshifted postnatally by adaptational processes. The study aims to compare different approaches to create individualized postnatal trajectories. MethodsThree approaches to achieve growth similar to healthy term infants at 42+0/7 weeks postmenstrual age (PMA) on World Health Organization growth standards (WHOGS) (target weight) were tested by comparing trajectories obtained by: 1) following birth percentiles (Birth-Weight-Percentile Approach); 2) following percentiles achieved at day of life 21 (Postnatal-Percentile Approach); 3) using day-specific fetal median growth velocities starting at day of life 21 (Fetal-Median-Growth Approach [FMGA]). The primary outcome was delta weight (W), defined as difference between target weight (WHOGS) at 42+0/7 weeks and weight predicted by trajectories. The secondary outcome was W vs %fat mass in a cohort of 20 disease-free surviving very low-birth-weight infants. ResultsBirth-Weight-Percentile and Postnatal-Percentile Approach showed high W; FMGA alone reduced W. Introducing a factor to FMGA to reflect the transition to extrauterine conditions (Growth-Velocity Approach [GVA]) minimized W. GVA merged with target and best normalized for body composition related to W. ConclusionsGVA provides an evidence-based approach for individualized growth trajectories. GVA is based on physiologic data and that healthy preterm infants adjust their postnatal trajectory below their birth percentile. GVA may reflect a biologic principle because it matches consistently with WHOGS at 42+0/7 weeks for all preterm infants from 24 to 34 weeks. This concept could become a bedside tool to aid clinicians in monitoring growth, guiding nutrition, and minimizing chronic adult disease risks as a consequence of unguided, inappropriate growth.

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