Abstract：
Post-natal growth influences short- and long-term preterm infant outcomes. Different growth charts, such as the Fenton Growth Chart (FGC) and INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS), describe different growth curves and targets. This study compares FGC- and IG-PPGS-derived weight-for-postmenstrual age z-score (WZ) up to 50 weeks postmenstrual age (PMA50) for predicting 1-year anthropometry in 321 South African preterm infants. The change in WZ from birth to PMA50 (ΔWZ, calculated using FGC and IG-PPGS) was correlated to age-corrected 1-year anthropometric z-scores for weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ) and BMI-for-age (BMIZ), and categorically compared with rates of underweight (WAZ < -2), stunting (LAZ < -2), wasting (WLZ < -2) and overweight (BMIZ > + 2). Multivariable analyses explored the effects of other early-life exposures on malnutrition risk. At PMA50, mean WZ was significantly higher on IG-PPGS (-0.56 ± 1.52) than FGC (-0.90 ± 1.52; p < 0.001), but ΔWZ was similar (IG-PPGS -0.26 ± 1.23, FGC -0.11 ± 1.14; p = 0.153). Statistically significant ΔWZ differences emerged among small-for-gestational age infants (FGC -0.38 ± 1.22 vs. IG-PPGS -0.01 ± 1.30; p < 0.001) and appropriate-for-gestational age infants (FGC + 0.02 ± 1.08, IG-PPGS -0.39 ± 1.18; p < 0.001). Correlation coefficients of ΔWZ with WAZ, LAZ, WLZ and BMIZ were low (r < 0.45), though higher for FGC than IG-PPGS. Compared with IG-PPGS, ΔWZ < -1 on FGC predicted larger percentages of underweight (42% vs. 36%) and wasting (43% vs. 39%) and equal percentages of stunting (33%), while ΔWZ > + 1 predicted larger percentages overweight (57% vs. 38%). Both charts performed similarly in multivariable analysis. Differences between FGC and IG-PPGS are less apparent when considering ΔWZ, highlighting the importance of assessing growth as change over time, irrespective of growth chart.
摘要：
产后生长影响短期和长期早产儿结局。不同的增长图表，如芬顿生长图(FGC)和INTERGROWTH-21早产后生长标准(IG-PPGS)，描述不同的生长曲线和目标。这项研究比较了FGC和IG-PPGS得出的经后体重z评分（WZ）至经后50周龄（PMA50），以预测321名南非早产儿的1年人体测量学。从出生到PMA50的WZ变化(ΔWZ，使用FGC和IG-PPGS计算）与年龄校正后的1年人体测量z评分相关（WAZ），年龄长度（LAZ），长度体重（WLZ）和年龄BMI（BMIZ），并与体重不足率(WAZ<-2)进行分类比较，发育迟缓（LAZ<-2），消瘦(WLZ<-2)和超重(BMIZ>+2)。多变量分析探讨了其他生命早期暴露对营养不良风险的影响。在PMA50时，IG-PPGS的平均WZ（-0.56±1.52）明显高于FGC（-0.90±1.52；p<0.001），但ΔWZ相似（IG-PPGS-0.26±1.23，FGC-0.11±1.14；p=0.153）。在小于胎龄儿中出现了统计学上显着的ΔWZ差异（FGC-0.38±1.22与IG-PPGS-0.01±1.30；p<0.001）和适合胎龄婴儿（FGC0.02±1.08，IG-PPGS-0.39±1.18；p<0.001）。ΔWZ与WAZ的相关系数，LAZ,WLZ和BMIZ较低(r<0.45)，虽然FGC比IG-PPGS高。与IG-PPGS相比,FGC上的ΔWZ<-1预测体重不足的百分比更大（42%与36%)和浪费(43%vs.39%)和相等百分比的发育迟缓(33%)，而ΔWZ>+1预测超重百分比更大(57%与38%)。两个图表在多变量分析中的表现相似。当考虑ΔWZ时，FGC和IG-PPGS之间的差异不太明显，强调将增长评估为随时间变化的重要性，不管增长图。
