建立妊娠糖尿病风险预测模型和临床验证
1Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao, 066000, Hebei, China.
Journal of endocrinological investigation
|December 12, 2023
概括
早期识别孕期糖尿病 (GDM) 风险是可能的,使用一个模型,包括母亲的年龄,怀孕前的BMI和第一季度的HbA1c,尿酸,TG和HDL-C水平. 该模型有助于早期查和高风险怀孕的干预.
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) 对母亲和胎儿都有风险.
- 早期识别和干预对于管理GDM至关重要.
- 现有的预测模型可能缺乏准确性或适用于早期怀孕.
研究的目的:
- 在怀孕的第一季度确定GDM的危险因素.
- 开发和验证GDM的早期风险预测模型.
- 为及时的GDM干预策略提供基础.
主要方法:
- 从2016年1月到2022年,对6000名孕妇的数据进行了回顾性分析.
- 分成一个建模队列 (4200) 和一个验证队列 (1800).
- 后勤回归分析以建立使用第一季度指标的预测模型;ROC和HL测试进行验证.
主要成果:
- 确定了GDM的独立风险因素:母亲的年龄,怀孕前的BMI,第一季度的HbA1c,尿酸 (UA),甘油三 (TG) 和HDL-C.
- 预测模型表现出良好的疗效,AUC为0.803 (建模) 和0.782 (验证).
- 该模型在两个队列中都显示出令人满意的匹配 (HL测试P>0.05).
结论:
- 母亲年龄,怀孕前的BMI和特定的第一季度生物标志物是GDM的重要风险因素.
- 开发的预测模型有效地识别了GDM高风险怀孕.
- 该模型支持GDM的早期查,监测和干预.
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