一个基于LASSO的预测性冠状动脉疾病的LASSO预测诺莫格拉姆在双零分数患者:验证和心血管教育策略
Chia-Hao Liang1, Yi-Chi Hung2,3,4, Hsin-Hung Chen2
1Ph.D. Program of Interdisciplinary Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Frontiers in cardiovascular medicine
|October 31, 2025
概括
一种新的诺米图有效预测阻塞性冠状动脉疾病 (CAD) 在最初冠状动脉分数为零的个体中的进展. 该工具的性能优于现有的风险评分,有助于制定亚临床冠状动脉样硬化个性化预防策略.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 预防医学 预防医学
背景情况:
- 在无症状个体中,冠状动脉疾病 (CAD) 风险评估至关重要.
- 尽管最初的得分很低,但现有的风险评分可能无法充分识别那些进展到阻塞性CAD的人.
- 需要改善亚临床冠状动脉样硬化的预测工具.
研究的目的:
- 开发和验证用于预测最初为零冠状动脉分数的队列中阻塞性CAD的诺莫грам.
- 为了比较开发的诺姆图的诊断性能与弗雷明汉风险评分 (FRS) 和动脉样硬化心血管疾病 (ASCVD) 模型.
- 在这个特定的人群中确定阻塞性CAD进展的关键预测因子.
主要方法:
- 对634名参与者的回顾性分析,基线为0冠状动脉分数.
- 使用最少绝对收缩和选择操作 (LASSO) 的逻辑回归开发一个名ogram.
- 通过使用培训和验证套件验证nomogram的诊断性能和校准.
主要成果:
- 纳米图将静缩血压,高血压,体脂百分比和HbA1c作为预测因素纳入.
- 在5.13% (培训) 和4.19% (验证) 的参与者中观察到阻塞性CAD进展.
- 与FRS和ASCVD模型相比,名图显示出更高的诊断性能 (AUC 0.792培训,0.824验证).
结论:
- 经过验证的冠状动脉图是预测高风险亚临床冠状动脉样硬化的一个有价值的工具.
- 这种预测模型可以支持个性化的初级预防策略.
- 诺莫格拉姆有助于针对性地为心血管健康提供患者教育.
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