Suppr超能文献

早产儿个体化的产后生长轨迹。

Individualized Postnatal Growth Trajectories for Preterm Infants.

机构信息

Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.

Alberta Children's Hospital Research Institute, Department of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada.

出版信息

JPEN J Parenter Enteral Nutr. 2018 Aug;42(6):1084-1092. doi: 10.1002/jpen.1138. Epub 2018 Feb 8.

Abstract

BACKGROUND

Growth 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.

METHODS

Three 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 (ΔW), defined as difference between target weight (WHOGS) at 42+0/7 weeks and weight predicted by trajectories. The secondary outcome was ΔW vs %fat mass in a cohort of 20 disease-free surviving very low-birth-weight infants.

RESULTS

Birth-Weight-Percentile and Postnatal-Percentile Approach showed high ΔW; FMGA alone reduced ΔW. Introducing a factor to FMGA to reflect the transition to extrauterine conditions (Growth-Velocity Approach [GVA]) minimized ΔW. GVA merged with target and best normalized for body composition related to ΔW.

CONCLUSIONS

GVA 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.

摘要

背景

尽管适应过程会使早产儿的个体生长轨迹在出生后下降,但仍使用胎儿图表监测早产儿的生长情况。本研究旨在比较创建个体化出生后生长轨迹的不同方法。

方法

通过比较以下三种方法获得的轨迹,来测试实现与世界卫生组织生长标准(WHOGS)(目标体重)在 42+0/7 孕周时相似的健康足月婴儿生长的三种方法(目标体重):1)遵循出生百分位数(出生体重百分位数法);2)遵循出生后第 21 天达到的百分位数(出生后百分位数法);3)使用从出生后第 21 天开始的特定日胎儿中位数生长速度(胎儿中位数生长法[FMGA])。主要结局是体重差值(ΔW),定义为 42+0/7 周时目标体重(WHOGS)与轨迹预测体重之间的差异。次要结局是在 20 例无疾病存活的极低出生体重儿队列中,ΔW 与脂肪量百分比的关系。

结果

出生体重百分位数法和出生后百分位数法显示出较大的ΔW;FMGA 单独降低了 ΔW。在 FMGA 中引入一个反映向宫外环境过渡的因素(生长速度法[GVA])可最小化ΔW。GVA 与目标相结合,并针对与 ΔW 相关的身体成分进行了最佳归一化。

结论

GVA 为个体化生长轨迹提供了一种基于证据的方法。GVA 基于生理数据,且健康早产儿会在出生后调整其生长轨迹,使其低于出生百分位数。GVA 可能反映了一种生物学原理,因为它与所有从 24 周到 34 周的早产儿在 42+0/7 周时的 WHOGS 一致。这一概念可以成为一种床边工具,帮助临床医生监测生长情况、指导营养摄入,并最大程度地减少由于未指导的、不合适的生长而导致的慢性成人疾病风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验