怀孕前的父母健康和出生时的妊娠年龄:使用双重机器学习的基于人口的队列的证据
Yuehong Ding1, Lanqing Qu2,3, Jinbiao Zhang2,3
1Zhejiang Maternal, Child and Reproductive Health Center, Hangzhou, China.
World journal of pediatric surgery
|October 2, 2025
概括
母亲和父亲的孕前健康标志物显著影响出生时的妊娠年龄. 整合家长查可以帮助预防早产和优化新生儿手术护理.
科学领域:
- 生殖健康 生殖健康
- 遗传学和基因组学 遗传学和基因组学
- 计算生物学 计算生物学
背景情况:
- 怀孕年龄受到复杂的母亲和父亲因素的影响.
- 很少有研究整合多维的父母临床指标来估计它们对妊娠的影响.
研究的目的:
- 量化父母怀孕前健康指标对出生时妊娠年龄的影响.
- 探索可解释的双重机器学习 (DML) 方法对此分析的有用性.
主要方法:
- 使用了大量的回顾性队列,其中包括来自父母双方的孕前健康数据.
- 应用了一个DML框架 (Lasso,随机森林,XGBoost) 和Shapley添加式解释 (SHAP) 进行解释.
主要成果:
- 母亲的高禁食葡萄糖,氨酸转移酶,血小板计数和抗肝炎B核心血清阳性与更短的妊娠期有关.
- 父亲Treponema pallidum血清阳性和单细胞比例增加显示出显著的关联.
- 父亲免疫标志物改变了母亲的代谢指标与妊娠年龄的关联.
结论:
- 可解释的DML方法有效量化了父母健康指标对妊娠年龄的影响.
- 将母亲和父亲的查整合到怀孕前的评估中,可以帮助预防早产.
- 通过家长查早期风险识别可以告知产前护理和儿科手术资源分配.
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