开发和验证用于预测绝经前妇女高尿血症的诺米克图
Yu-Fei Liu1,2, Xiao-Jing Li2, Yu-Ting Li1,2
1School of Public Health, Bengbu Medical University, Bengbu, People's Republic of China.
International journal of general medicine
|September 10, 2025
概括
这项研究开发了一种名谱,用于预测绝经前妇女的高尿血症 (HUA) 风险,确定关键风险因素. 该模型显示出良好的预测准确性,有助于早期检测和预防性干预HUA.
科学领域:
- 内分泌学和新陈代谢学
- 妇女健康 妇女健康
- 预防医学 预防医学
背景情况:
- 高尿路血 (HUA) 是一个越来越令人担忧的问题,特别是在绝经前妇女.
- 确定HUA的预测因素对于及时干预至关重要.
研究的目的:
- 开发和验证一种名谱模型,用于预测绝经前妇女的HUA风险.
- 在这个人口群体中确定与HUA相关的独立风险因素.
主要方法:
- 使用最小绝对收缩和选择运算符 (Lasso) 和二进制后勤回归.
- 收集了来自5637名绝经前妇女的体检数据.
- 将十个独立变量纳入风险预测模型.
主要成果:
- 在培训 (AUC=0.819) 和验证 (AUC=0.787) 两组中,开发的诺米图表表表现出良好的预测能力.
- 该模型显示了良好的校准,表明可靠的预测.
- 对于BMI<25.0 (AUC=0.793) 和BMI≥25.0 (AUC=0.765) 的女性,已开发出单独的模型.
结论:
- 在绝经前妇女中确定了几种HUA的独立风险因素.
- 开发了一种对HUA风险进行验证的预测模型.
- 该模型可以帮助识别有风险的个体并实施预防策略.
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