Larcade Julie, Pradat Pierre, Buffin Rachel, Leick-Courtois Charline, Jourdes Emilie, Picaud Jean-Charles
*Neonatology, Croix Rousse Hospital †Centre for Clinical Research, University Hospital Croix Rousse, Hospices Civils de Lyon, Lyon ‡Lyon-Sud Charles Merieux Medical School, Claude Bernard University Lyon 1 §Rhone-Alpes Human Nutrition Research Center, Pierre Benite, France.
J Pediatr Gastroenterol Nutr. 2017 Jan;64(1):115-118. doi: 10.1097/MPG.0000000000001261.
The purpose of the present study was to validate a previously calculated equation (E1) that estimates infant fat-free mass (FFM) at discharge using data from a population of preterm infants receiving an optimized feeding regimen.
Preterm infants born before 33 weeks of gestation between April 2014 and November 2015 in the tertiary care unit of Croix-Rousse Hospital in Lyon, France, were included in the study. At discharge, FFM was assessed by air displacement plethysmography (PEA POD) and was compared with FFM estimated by E1. FFM was estimated using a multiple linear regression model.
Data on 155 preterm infants were collected. There was a strong correlation between the FFM estimated by E1 and FFM assessed by the PEA POD (r = 0.939). E1, however, underestimated the FFM (average difference: -197 g), and this underestimation increased as FFM increased. A new, more predictive equation is proposed (r = 0.950, average difference: -12 g).
Although previous estimation methods were useful for estimating FFM at discharge, an equation adapted to present populations of preterm infants with "modern" neonatal care and nutritional practices is required for accuracy.
本研究的目的是验证一个先前计算出的方程（E1），该方程使用接受优化喂养方案的早产儿群体的数据来估计出院时婴儿的去脂体重（FFM）。
纳入2014年4月至2015年11月在法国里昂十字路医院三级护理病房出生的孕周小于33周的早产儿。出院时，通过空气置换体积描记法（PEA POD）评估FFM，并与E1估计的FFM进行比较。使用多元线性回归模型估计FFM。
收集了155名早产儿的数据。E1估计的FFM与PEA POD评估的FFM之间存在很强的相关性（r = 0.939）。然而，E1低估了FFM（平均差异：-197 g），并且这种低估随着FFM的增加而增加。提出了一个新的、预测性更强的方程（r = 0.950，平均差异：-12 g）。
尽管先前的估计方法有助于估计出院时的FFM，但为了获得准确结果，需要一个适用于当前接受“现代”新生儿护理和营养实践的早产儿群体的方程。
