精确预测使用LASSO回归的绝经前妇女的高血糖血症的发展
Xuan Tan1,2, Mingqi Li1, Jie Wang1
1Clinical Epidemiology Research Office, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China.
Frontiers in reproductive health
|October 27, 2025
概括
超同胞蛋白血症 (HHcy) 是绝经前妇女心血管疾病的危险因素. 一个新的诺莫格拉姆模型使用饮食和胆固醇等因素准确预测HHcy风险.
科学领域:
- 心血管健康 心血管健康
- 代谢障碍 代谢障碍 代谢障碍
- 妇女健康 妇女健康
背景情况:
- 超同胞蛋白血症 (HHcy) 与心血管疾病 (CVD) 的风险有关.
- 绝经前妇女因雌激素下降而面临更容易发生代谢障碍的风险.
- 在这个人口群体中识别HHcy预测因素对于预防策略至关重要.
研究的目的:
- 在绝经前妇女中识别高血型囊血症 (HHcy) 的危险因素.
- 在这个人群中开发和验证HHcy的预测模型.
- 为风险评估和管理提供临床工具.
主要方法:
- 对687名绝经前妇女进行了回顾性研究,分为培训,内部和外部验证集.
- 对于变量选择的最小绝对缩小和选择运算符 (LASSO) 回归.
- 后勤回归模型开发并使用名图进行可视化;通过ROC曲线,校准和DCA评估性能.
主要成果:
- 19.94%的参与者有HHcy.
- 确定了四个关键预测因素:蛋消费频率,LDL,TP和CysC.
- 在所有验证集中,名图显示出强大的预测性能 (AUC从0.765到0.854不等).
结论:
- 开发的诺米图表显示出高准确性和临床实用性,用于预测HHcy风险.
- 这种工具可以帮助早期风险分层,并指导绝经前妇女的治疗决策.
- 进一步应用该名录可能会改善心血管疾病的预防,在这个脆弱的群体.
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