预测妊娠糖尿病的诺莫图:一个多中心回顾性研究
Rui Zhang1, Zhangyan Li1, Nuerbiya Xilifu1,2
1Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Journal of molecular cell biology
|March 10, 2025
概括
一个新的名图有效地预测妊娠期糖尿病 (GDM) 在怀孕早期使用关键风险因素. 这种工具有助于早期检测和管理,改善母亲和婴儿健康结果.
科学领域:
- 产科和妇科 产科和妇科
- 内分泌学 在内分泌学.
- 公共卫生 公共卫生
背景情况:
- 孕期糖尿病 (GDM) 对母亲和新生儿构成重大健康风险.
- 目前GDM的早期预测模型缺乏标准化.
- 迫切需要可靠的工具来在怀孕期间早期检测GDM.
研究的目的:
- 开发和验证基于名录的预测模型,用于识别怀孕早期的GDM风险.
- 评估开发的预测模型的临床实用性和稳定性.
主要方法:
- 使用多变量逻辑回归分析开发了GDM的预测模型.
- 为了可视化预测模型,使用了一个名ogram.
- 利用了1824名孕妇 (培训/内部验证) 和1604名孕妇 (外部验证) 的数据.
- 模型性能使用ROC曲线,校准曲线和DCA进行评估.
主要成果:
- 纳米图纳入了包括母亲年龄,BMI,生殖和家族史,肌素,甘油三,LDL,中性粒细胞和单细胞计数在内的因素.
- 该模型表现出强大的性能,AUC值为0.804 (训练),0.800 (内部验证) 和0.829 (外部验证).
- 校准和决策曲线分析证实了该模型的准确性和临床有用性.
结论:
- 开发的诺莫图像作为一个稳定和有效的工具,用于预测早期怀孕的GDM.
- 这种预测模型可以显著帮助早期管理GDM,潜在地改善健康结果.
- 该名图为早期GDM风险评估提供了一种标准化的方法.
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