莫利-萨尼风险评分 (Moli-sani risk score) 是一种新的算法,用于测量可修改的心血管风险因素的全球影响
Augusto Di Castelnuovo1, Marialaura Bonaccio2, Simona Costanzo2
1Mediterranea Cardiocentro, Napoli, Italy.
International journal of cardiology
|August 1, 2023
概括
一个新的Moli-sani风险评分 (MRS) 有效地预测意大利人口中的心血管疾病 (CV) 事件,优于现有的工具. 这种经过验证的算法包括饮食和可修改的风险因素,以更好地评估心血管风险.
科学领域:
- 心脏病学 心脏病学
- 预防医学 预防医学
- 流行病学 流行病学
背景情况:
- 心血管疾病 (CV) 可以通过解决可修改的风险因素来预防.
- 现有的CV风险算法,通常是美国的,通常不包括饮食因素.
- 这项研究解决了针对意大利人口 (包括饮食) 量身定制的CV风险算法的需求.
研究的目的:
- 开发和验证Moli-sani风险评分 (MRS) 用于预测心血管事件.
- 评估MRS的性能,包括可修改的CV风险因素和饮食.
- 为了将MRS与已建立的Life's Simple-7得分进行比较.
主要方法:
- 在Moli-sani研究中,使用来自16656名 (≥35岁) 个体的数据来得出MRS.
- 使用了一个外部验证队列 (风险和预防研究,N=8606).
- 该MRS包括9个常见的可修改CV风险因素,并与Life's Simple-7.7进行了比较.
主要成果:
- 在平均8.1年的随访期间,衍生队列中发生了816次CV事件.
- 较高的MRS四分位数与心血管事件危险比率 (HR) 的增加有显著相关性.
- 与Life's Simple-7得分相比,MRS表现出优越的歧视能力.
结论:
- 莫利桑尼风险评分 (MRS) 是一种验证的算法,用于评估组合可修改的心血管风险因素.
- MRS可以指导心血管疾病预防策略的设计和评估.
- 这个分数为量化干预效率和比较预防方法提供了一个工具.
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