Guo Yongbing, Zhang Huijing, Kang Jinling, Sun Yu, Yang Huixia
Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China (Guo, Zhang, Sun, and Yang).
Department of Radiology, Decheng Maternal and Child Health Care Hospital, Shandong, China (Kang).
AJOG Glob Rep. 2024 Dec 4;5(3):100429. doi: 10.1016/j.xagr.2024.100429. eCollection 2025 Aug.
Small for gestational age(SGA) is associated with increased risks of short-term complications and neonatal death.The severity of SGA can be grouped according to the weight of newborns.
This study aimed to explore the perinatal clinical characteristics of small for gestational age and to compare the predictive value of 2 growth curves for adverse neonatal outcomes.
A total of 131 neonates diagnosed with small for gestational age at Peking University First Hospital from January to June 2021 were included in the study. According to the percentile of birthweight, the neonates were divided into 2 groups: 105 in the mild small-for-gestational-age group (birthweight between the 3rd and 10th percentile) and 26 in the severe small-for-gestational-age group (birthweight lower than the 3rd percentile). The general data and clinical information of mothers and neonates were collected to compare the differences between maternal complications and neonatal outcomes in different groups of small for gestational ages.
The incidence of preeclampsia and preterm delivery in the severe small for gestational age group was significantly higher than that in the mild small-for-gestational-age group. The incidence of neonatal hypoglycemia and neonatal anemia in the severe small-for-gestational-age group was significantly higher than that in the mild small-for-gestational-age group. The maternal body weight and body mass index in the mild small-for-gestational-age group were lower than those in the severe small-for-gestational-age group. In addition, the 2020 birthweight curve had better sensitivity, specificity, positive predictive value, and negative predictive value in predicting adverse neonatal outcome than the 2015 birthweight curve.
The risk of neonatal complications was significantly higher in the severe small-for-gestational-age group. Perinatal monitoring of small-for-gestational-age patients should be strengthened. Mild small for gestational age was associated with lower maternal body mass index. The 2020 neonatal curve is more valuable for adverse neonatal outcome prediction.
小于胎龄儿(SGA)与短期并发症及新生儿死亡风险增加相关。SGA的严重程度可根据新生儿体重进行分组。
本研究旨在探讨小于胎龄儿的围产期临床特征,并比较两条生长曲线对不良新生儿结局的预测价值。
本研究纳入了2021年1月至6月在北京大学第一医院诊断为小于胎龄儿的131例新生儿。根据出生体重百分位数,将新生儿分为两组:轻度小于胎龄儿组105例(出生体重在第3至第10百分位数之间)和重度小于胎龄儿组26例(出生体重低于第3百分位数)。收集母亲和新生儿的一般资料及临床信息,比较不同小于胎龄组母亲并发症及新生儿结局的差异。
重度小于胎龄儿组子痫前期和早产的发生率显著高于轻度小于胎龄儿组。重度小于胎龄儿组新生儿低血糖和新生儿贫血的发生率显著高于轻度小于胎龄儿组。轻度小于胎龄儿组母亲的体重和体重指数低于重度小于胎龄儿组。此外,2020年出生体重曲线在预测不良新生儿结局方面比2015年出生体重曲线具有更好的敏感性、特异性、阳性预测值和阴性预测值。
重度小于胎龄儿组新生儿并发症风险显著更高。应加强对小于胎龄儿患者的围产期监测。轻度小于胎龄儿与母亲较低的体重指数相关。2020年新生儿曲线对不良新生儿结局预测更有价值。