怀孕年龄小,怀孕年龄平均,怀孕年龄大新生儿的预测
Stephanie Masters1, Nneoma Edokobi1, Chloe Lessard1
1Carilion Clinic, Roanoke, Virginia, United States.
American journal of perinatology
|August 25, 2025
概括
孕期调整预测 (GAP) 模型准确地预测出生体重,在孕妇BMI升高的怀孕中表现良好,以及对妊娠年龄 (LGA) 大的新生儿. 这种预测模型在高风险怀孕中具有潜在价值.
科学领域:
- 周围生理学
- 产妇和胎儿医学
- 新生儿超声波
背景情况:
- 准确的胎儿体重估计对于管理怀孕和新生儿后果至关重要.
- 传统的方法通常依赖于临近交付的静态估计,这些估计可能缺乏精度.
- 孕期调整预测 (GAP) 模型提供了一种新的方法,使用基于百分点的推断来进行更动态的预测.
研究的目的:
- 评估GAP预测模型的准确性,用于预测新生儿的出生体重,分类为小 (SGA),适当 (AGA) 或对妊娠年龄大 (LGA).
- 评估母体体重指数 (BMI) 增加对GAP模型预测准确性的影响.
主要方法:
- 在2016年至2023年期间,对单胎,活产,非异常怀孕的回顾.
- 包括标准需要第三个月的成长超声波和妊娠中期的解剖调查.
- GAP预测准确度被定义为出生体重预测在实际的10%以内;百分比错误和绝对百分比错误也被分析.
主要成果:
- 在GAP模型中,绝对误差的中位数为8.56%.
- 预测精度在10%以内,根据母亲的BMI变化:51. 4% (正常),64. 1% (超重) 和58. 0% (肥胖) (p=0. 031).
- 在AGA的64. 8%,SGA的29. 9%和LGA婴儿的66. 9% (p<0. 001) 中,精度在10%以内,SGA婴儿经常被低估.
结论:
- 在孕妇BMI升高的情况下,GAP模型的准确性得到了改善.
- 该模型显示LGA和AGA婴儿的准确性相似,但难以预测SGA.
- 结果表明GAP模型在高风险人群中有用,包括肥胖或疑似LGA的人群.
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