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开发和验证基于LASSO-逻辑回归的诺米克图,用于预测高血压患者的动脉动脉样硬化
Xin-Fu Cao1, Ya-Li Qiu2,3, Zhen-Hua Gu1
1Department of Cardiology, Changzhou Affiliated Hospital of Nanjing University of Chinese Medicine, Changzhou, Jiangsu, China.
Frontiers in cardiovascular medicine
|November 20, 2025
概括
这项研究开发了一种预测性诺姆图,用于评估高血压患者的动脉样硬化 (CAS) 风险. 诺米图准确地确定了关键的风险因素,有助于对这种普遍疾病进行临床评估和早期干预策略.
科学领域:
- 心脏病学 心脏病学
- 血管医学 血管医学
- 预测分析是一种预测分析.
背景情况:
- Carotid 动脉样硬化 (CAS) 在高血压患者中越来越令人担忧.
- 高血压是心血管疾病的重要危险因素,包括CAS.
研究的目的:
- 在高血压患者群体中开发和验证CAS的预测名录.
- 在高血压患者中确定与CAS相关的关键风险因素.
主要方法:
- 使用了930名高血压患者的开发队列和398名高血压患者的验证队列.
- 采用LASSO和后勤回归来识别重大风险因素.
- 使用R软件构建并验证了名图,包括Bootstrap重新采样,ROC曲线,校准曲线和决策曲线分析.
主要成果:
- 确定了八个重要的CAS风险因素:年龄,吸烟,糖尿病 (DM),高血压持续时间,体力活动,BMI,LDL和尿酸.
- 糖尿病已经成为最有影响力的因素.
- 诺米图表显示出强大的预测准确性,AUC为0.858 (发展) 和0.808 (验证).
结论:
- 为评估高血压患者的CAS风险而开发了一种强大的名谱.
- 这种工具可以帮助临床医生对高血压患者的风险分层和个性化管理.
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