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一个基于第二个三个月的血糖水平的剖腹产预测模型:来自两个中心的嵌套病例对照研究

Junping Zhang¹, Naiqian Wu¹, Minhui Li²

¹Department of Obstetrics and Gynecology, Tianjin Fifth Central Hospital, Tianjin, P.R. China.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians

|June 19, 2023

概括

一个使用第二季度葡萄糖指标的新模型有效地预测了剖腹产分娩风险. 这种早期识别剖腹产 (CD) 风险有助于及时进行干预,以减少CD率.

科学领域:

产科和妇科产科和妇科
孕产妇和胎儿医学孕产妇和胎儿医学
内分泌学在内分泌学.

背景情况:

孕产妇的葡萄糖水平与剖腹产 (剖腹产) 风险有关.
早期识别高风险妊娠对于及时干预至关重要.
预测模型可以通过分层风险来改善产科结果.

研究的目的:

开发和验证剖腹产 (CD) 风险的预测模型.
用第二个三个月的葡萄糖指标进行早期风险评估.
确定CD的关键预测因子,以改善临床管理.

主要方法:

采用了一个嵌套的病例控制研究设计.
来自两家医院 (2020-2021) 的数据形成了培训和测试集.
开发了一个随机森林模型,使用了包括葡萄糖指标和怀孕前BMI在内的显著变量.

主要成果:

该模型表现出强大的预测性能,在训练组中AUC为0.852.
确定的主要预测因素包括怀孕前的BMI,1小时血葡萄糖 (1hPG),2小时血葡萄糖 (2hPG),糖化血红蛋白 (HbA1c) 和禁食血葡萄糖 (FPG).
外部验证证实了良好的性能,AUC为0.734.

结论:

开发的模型有效地使用第二个三个月的葡萄糖指标预测剖腹产风险.
早期识别CD风险有助于及时进行干预.
这种预测工具可能会降低剖腹产分娩率.

关键词:

这是剖腹产产.葡萄糖的含量是高的预测模型预测模型随机森林方法随机森林方法怀孕的第二个三个月.

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