怀孕期间胎儿生长轨迹的价值在预测怀孕年龄小的新生儿时的价值
Huimin Zhu1,2, Min Wei3, Xiuxiu Li3
1Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
BMC pregnancy and childbirth
|April 11, 2025
概括
预测怀孕年龄 (SGA) 新生儿的小小是非常重要的. 估计胎儿体重 (EFW) 轨迹建模显示出希望,但晚期妊娠的EFW z-score目前优于识别SGA新生儿.
科学领域:
- 产周医学 产周医学
- 孕产妇和胎儿的医学
- 量化胎儿医学 量化胎儿医学
背景情况:
- 基于组的轨迹建模 (GBTM) 对胎儿生长的预测能力正在研究中.
- 它在预测怀孕年龄小 (SGA) 新生儿方面的有效性需要进一步澄清.
研究的目的:
- 描述怀孕期间估计的胎儿体重 (EFW) 增长轨迹.
- 为了比较EFW生长轨迹,EFW生长速度和EFWz-score的预测性能,以识别SGA新生儿.
主要方法:
- 基于组的轨迹建模 (GBTM) 用于确定深出生队列研究中的1699名女性的EFW增长轨迹.
- 预测性能的评估是使用接收机操作特征曲线 (AUC) 下的面积,Brier分数和决策曲线分析 (DCA) 的方法进行的.
主要成果:
- 确定了四个不同的EFW轨迹组:"非常低稳定"",低稳定"",平均稳定"和"上升下降".
- 与生长速度 (AUC=0.76) 相比,EFW生长轨迹显示出更好的区分和校准能力.
- EFW成长轨迹在23-24周的EFWz-score中表现出色 (AUC=0.72),但在37-39周的EFWz-score中表现出色 (AUC=0.88).
结论:
- 在怀孕37-39周估计的胎儿体重 (EFW) z-scores为SGA新生儿提供了最好的预测.
- EFW生长轨迹建模为连续超声波评估提供了潜在的潜力,以描述胎儿生长和预测SGA新生儿.
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