Fusch Gerhard, Mitra Souvik, Rochow Niels, Fusch Christoph
Division of Neonatology, Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
Acta Paediatr. 2015 Jan;104(1):38-42. doi: 10.1111/apa.12804. Epub 2014 Oct 2.
Target fortification (TFO) of breast milk has the potential to improve the nutritional outcomes of preterm infants. However, the primary logistic constraint in introducing TFO is analysers that rapidly and accurately analyse macronutrients (fat, protein and lactose). In this prospective observational study, we aim to evaluate whether the levels of fat, protein and carbohydrate could be predicted from one key macronutrient.
Macronutrient components were measured in 543 breast milk samples using validated chemical micro-methods. Correlation analysis for fat versus protein, fat versus lactose and lactose versus protein was computed using Pearson's correlation.
The concentration of the macronutrients ranged from 0.7 to 10.3 g/100 mL (3.7 ± 1.2, mean ± SD) for fat, 0.7 to 3.2 g/100 mL (1.3 ± 0.3) for protein and 4.0 to 8.8 g/100 mL (5.8 ± 0.7) for lactose, respectively. There was no correlation between the three macronutrients.
This lack of correlation underlines the importance of routine and accurate analysis of all three macronutrients in breast milk prior to TFO.
母乳的目标强化（TFO）有改善早产儿营养结局的潜力。然而，引入TFO的主要后勤限制是能够快速准确分析常量营养素（脂肪、蛋白质和乳糖）的分析仪。在这项前瞻性观察研究中，我们旨在评估是否可以从一种关键常量营养素预测脂肪、蛋白质和碳水化合物的水平。
使用经过验证的化学微量方法对543份母乳样本中的常量营养素成分进行测量。使用Pearson相关性计算脂肪与蛋白质、脂肪与乳糖以及乳糖与蛋白质之间的相关性分析。
常量营养素的浓度范围分别为：脂肪0.7至10.3 g/100 mL（3.7±1.2，均值±标准差），蛋白质0.7至3.2 g/100 mL（1.3±0.3），乳糖4.0至8.8 g/100 mL（5.8±0.7）。这三种常量营养素之间无相关性。
这种缺乏相关性凸显了在进行TFO之前对母乳中所有三种常量营养素进行常规且准确分析的重要性。
