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Updated: Jan 29, 2026

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超越通常的嫌疑人:对高产量的非传统动脉样硬化风险因素的叙述性审查
Dylan C Yu1, Yaser Ahmad2, Maninder Randhawa1
1Department of Internal Medicine/Cardiology, Western Michigan University Homer Stryker School of Medicine, Beacon Kalamazoo Medical Center, Kalamazoo, MI 49007, USA.
Journal of clinical medicine
|January 28, 2026
概括
新兴的非传统风险因素,包括炎症,代谢问题和环境暴露,在传统模型之外对动脉样硬化有显著的贡献. 整合这些因素可以增强心血管疾病预测和预防策略.
科学领域:
- 心脏病学 心脏病学
- 预防医学 预防医学
- 公共卫生 公共卫生
背景情况:
- 目前的心血管风险模型 (例如,弗雷明汉姆,ASCVD) 在识别发生事件的个体方面存在局限性,尽管预测风险低.
- 未被充分认识到的非传统风险因素在动脉样硬化发展中起着重要作用.
- 现有的文献经常单独审查风险因素;此次审查综合综合综合各种因素.
研究的目的:
- 审查和总结有关动脉样硬化的高收益非传统风险因素的证据.
- 专注于超越传统风险框架的临床重要,新兴和适用贡献者.
- 整合不同领域的非传统风险因素,并讨论它们对弱势群体,特别是南亚人的影响.
主要方法:
- 叙事综述综合了最近的科学证据.
- 跨多个领域的非传统风险因素的全面聚合.
- 专注于临床可行的因素和来自弱势群体的数据.
主要成果:
- 确定了关键的非传统风险因素:炎症 (例如,C反应蛋白),代谢和微生物因素,行为因素 (例如,电子烟使用) 和环境因素 (例如,污染).
- 探索与动脉样硬化相关的体检发现 (例如,弗兰克的标志,阿基里斯的厚度).
- 强调了这些因素对像南亚人这样的弱势群体的重要性.
结论:
- 动脉样硬化是多因素的,受各种,经常被忽视的因素的影响.
- 将非传统风险纳入临床评估可以改善早期检测,预防和个性化护理.
- 未来的风险模型应该包含分子,行为和环境数据,以进行全面的心血管疾病评估.
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